BLUE OCEAN STRATEGY AND ORGANIZATIONAL PERFORMANCE OF JOMO KENYATTA INTERNATIONAL AIRPORT FREIGHT MANAGEMENT COMPANIES IN KENYA by Getrude Gatwiri Murithi A Thesis presented to the School of Business and Economics of Daystar University Nairobi, Kenya In partial fulfilment of the requirements for the degree of MASTER OF BUSINESS ADMINISTRATION in Strategic Management October 2024 Daystar University Repository Library Archives Copy ii DECLARATION BLUE OCEAN STRATEGY AND ORGANIZATIONAL PERFORMANCE OF JOMO KENYATTA INTERNATIONAL AIRPORT FREIGHT MANAGEMENT COMPANIES IN KENYA This thesis is my original work and has not been presented for a degree in any other university or any other award. Signed: Date: Getrude Gatwiri Murithi 21-1545 We confirm that the work presented in this thesis was carried out by the student under our Supervision. Signed: Date: Eunice Wandiga, PhD. 1st Supervisor Signed: Date: Moses Murimi, PhD. 2nd Supervisor Daystar University Repository Library Archives Copy iii Copyright © 2024 Getrude Gatwiri Daystar University Repository Library Archives Copy iv APPROVAL BLUE OCEAN STRATEGY AND ORGANIZATIONAL PERFORMANCE OF JOMO KENYATTA INTERNATIONAL AIRPORT FREIGHT MANAGEMENT COMPANIES IN KENYA Gertrude Gatwiri Murithi 21-1545 In accordance with Daystar University policies, this thesis is accepted in partial fulfillment of requirements for the Master of Business Administration in Strategic Management Signed: Date Joseph Munyao, MSc. HOD, Commerce Department Signed: Date Laban Chesang, PhD. Dean, School of Business and Economics Daystar University Repository Library Archives Copy v ACKNOWLEDGEMENT To begin, I offer my deepest gratitude to God, who has provided me with the fullness of spirit, soul, and body throughout the process of writing this thesis. His unwavering strength, encouragement, good health, and wisdom were vital in its completion, and I am forever thankful for His faithfulness. I would also like to extend my sincere appreciation to my supervisors, Dr. Eunice Wandiga and Dr. Moses Murimi, whose guidance, professional insight, and invaluable support were pivotal during this journey. Without their contributions, the successful completion of this thesis would not have been possible. My heartfelt thanks also go to the lecturers at Daystar University, whose teachings during my coursework laid the foundation and framework for this thesis. A special note of gratitude is owed to my beloved daughter. Your unwavering support, both moral and spiritual, has been my constant source of strength, especially when the path was challenging. Your encouragement inspired me to keep going even when I felt like giving up. I also extend my deepest thanks to my parents for their endless love and encouragement throughout this journey. Finally, I wish to express my appreciation to my colleagues, friends, and everyone who, although not individually mentioned, supported me in various ways throughout this academic endeavor. To each of you, I extend my heartfelt thanks, and may God richly bless you all. Daystar University Repository Library Archives Copy vi DEDICATION I dedicate this work to my beloved daughter Nanga Kanana and my parents Mr. Gilbert Murithi and Mrs. Florence Murithi whose unwavering support and love has been my greatest source of strength and inspiration. Your presence in my life motivates me to strive for greater heights. This achievement is as much yours as it is mine. Daystar University Repository Library Archives Copy vii TABLE OF CONTENTS DECLARATION ........................................................................................................... ii APPROVAL ................................................................................................................. iv ACKNOWLEDGEMENT ............................................................................................. v DEDICATION .............................................................................................................. vi LIST OF TABLES ........................................................................................................ ix LIST OF FIGURES ....................................................................................................... x LIST OF ACRONYMS AND ABBREVIATIONS ..................................................... xi ABSTRACT ................................................................................................................. xii CHAPTER ONE ............................................................................................................ 1 INTRODUCTION AND BACKGROUND TO THE RESEARCH PROBLEM.......... 1 Introduction ........................................................................................................ 1 Background to the Research Problem ................................................................ 3 Statement of the Problem ................................................................................. 16 Purpose of the Study ........................................................................................ 18 Objectives of the Study .................................................................................... 18 Research Questions .......................................................................................... 18 Significance of the Study ................................................................................. 19 Justification of the Study ................................................................................. 19 Assumptions of the Study ................................................................................ 20 Scope of the Study ........................................................................................... 20 Limitations and Delimitations of the Study ..................................................... 21 Operational Definition of Terms ...................................................................... 22 Chapter Summary ............................................................................................ 23 CHAPTER TWO ......................................................................................................... 24 LITERATURE REVIEW ............................................................................................ 24 Introduction ...................................................................................................... 24 Theoretical Framework .................................................................................... 24 General Literature ............................................................................................ 31 Empirical Literature Review ............................................................................ 43 Conceptual Framework .................................................................................... 50 Discussion ........................................................................................................ 51 Chapter Summary ............................................................................................ 52 CHAPTER THREE ..................................................................................................... 53 RESEARCH METHODOLOGY................................................................................. 53 Introduction ...................................................................................................... 53 Research Design............................................................................................... 53 Population ........................................................................................................ 54 Target Population ............................................................................................. 54 Sample Size ...................................................................................................... 55 Sampling Technique ........................................................................................ 56 Types of Data ................................................................................................... 57 Data Collection Instruments ............................................................................ 57 Pre-testing ........................................................................................................ 58 Reliability and Validity .................................................................................... 58 Data Collection Procedures .............................................................................. 60 Data Analysis Plan and Presentation ............................................................... 60 Ethical Considerations ..................................................................................... 63 Chapter Summary ............................................................................................ 63 CHAPTER FOUR ........................................................................................................ 64 Daystar University Repository Library Archives Copy viii DATA PRESENTATION, ANALYSIS AND DISCUSSION OF FINDINGS .......... 64 Introduction ...................................................................................................... 64 Data Presentation, Analysis and Interpretation ................................................ 65 Years of operation ............................................................................................ 68 Discussion of Findings ..................................................................................... 92 Summary of Key Findings ............................................................................... 98 Chapter Summary .......................................................................................... 101 CHAPTER FIVE ....................................................................................................... 102 CONCLUSIONS AND RECOMMENDATIONS .................................................... 102 Introduction .................................................................................................... 102 Conclusion ..................................................................................................... 102 Recommendations .......................................................................................... 104 Recommendations for Areas for Further Research ........................................ 105 REFERENCES .......................................................................................................... 106 APPENDICES ........................................................................................................... 123 Appendix I: Research Questionnaire ............................................................. 123 Appendix II: Freight Management Companies in JKIA ................................ 128 Appendix III: Ethical Clearance .................................................................... 130 Appendix IV: Research Permit ...................................................................... 131 Appendix V: Similarity Index Report ............................................................ 132 Daystar University Repository Library Archives Copy ix LIST OF TABLES Table 1: Summary of Research Gaps........................................................................... 48 Table 2: Population ..................................................................................................... 54 Table 3: Target Population .......................................................................................... 55 Table 4: Sample Size .................................................................................................... 56 Table 5: Reliability Results .......................................................................................... 60 Table 6: Response Rate ................................................................................................ 64 Table 7: Gender of the Respondents ............................................................................ 65 Table 8: Age of the Respondents .................................................................................. 66 Table 9: Highest Level of Education ........................................................................... 67 Table 10: Scope of Operations .................................................................................... 68 Table 11: Years of Operation ...................................................................................... 68 Table 12: Respondent’s Job Position .......................................................................... 69 Table 13: Differentiation ............................................................................................. 70 Table 14: Cost Leadership ........................................................................................... 73 Table 15: Value Creation............................................................................................. 76 Table 16: Organizational Performance ....................................................................... 79 Table 17: Organizational Culture ............................................................................... 82 Table 18: Correlation Analysis .................................................................................... 85 Table 19: Model Summary ........................................................................................... 87 Table 20: ANOVA ........................................................................................................ 87 Table 21: Regression Coefficients ............................................................................... 88 Table 22: Model Summary for BOS and performance ................................................ 89 Table 23: ANOVA for BOS and performance .............................................................. 89 Table 24: Regression coefficients for BOS and performance ...................................... 90 Table 25: Model Summary with the moderating variable ........................................... 90 Table 26: ANOVA ........................................................................................................ 91 Table 27: Regression Co-efficients .............................................................................. 91 Daystar University Repository Library Archives Copy x LIST OF FIGURES Figure 1: Theoretical Framework ............................................................................... 31 Figure 2: Conceptual Framework .............................................................................. 51 Daystar University Repository Library Archives Copy xi LIST OF ACRONYMS AND ABBREVIATIONS BOS: Blue ocean strategy DU-ISERC Daystar University Institutional Scientific and Ethical Review Committee GDP: Gross Domestic Product IATA: International Air Transport Association IoT: Internet of Things JKIA: Jomo Kenyatta International Airport KIFWA: Kenya International Freight and Warehousing Association LPI: Logistics performance index NACOSTI: National Commission for Science, Technology & Innovation RBV: Resource Based View ROI: Return on Investment SPSS Statistical Package for the Social Sciences Daystar University Repository Library Archives Copy xii ABSTRACT The freight management companies at Jomo Kenyatta International Airport in Nairobi, Kenya are facing significant performance challenges caused by market saturation and increasing operation cost. Furthermore, profit margins for many freight forwarders and cargo handling companies operating at JKIA are under pressure, with some reporting declines of 10-15% over the past 3 years. The purpose of this study was to investigate the effect of blue ocean strategy on performance of JKIA freight Management Companies in Kenya. The specific objectives were to assess the extent of adoption of blue ocean strategy by JKIA freight Management Companies in Kenya, to evaluate the organizational performance of JKIA freight Management Companies in Kenya and to determine the effect of blue ocean strategy on organizational performance of JKIA freight Management Companies in Kenya. The study further sought to determine the moderating effect of organizational culture on the relationship between blue ocean strategy and organizational performance of JKIA freight Management Companies in Kenya. It was anchored on the Resource Based View and dynamic capabilities Theory. The study employed descriptive and explanatory research design. The population in this study was all the 40 freight management companies in JKIA. The target population was all the 534 top and middle level management employees in the freight management companies in JKIA. A sample of 229 employees was selected using stratified random sampling technique. This study collected primary data using a structured questionnaire. Data analysis entailed descriptive and inferential statistics. The descriptive statistics include means, frequencies and standard deviations while inferential statistics entailed Pearsons’s correlation and multiple linear regression analysis. The study revealed that JKIA freight management companies have adopted various aspects of the Blue Ocean Strategy, including differentiation, cost leadership, and value creation, all of which significantly contribute to their organizational performance. Most firms have implemented advanced technologies, customized services, lean management practices, and flexible pricing, which have improved operational efficiency and customer satisfaction. Additionally, the study found that a positive and significant relationship exists between Blue Ocean Strategy elements and performance (β=0.879,p=0.002), and that organizational culture moderates and the relationship between BOS and performance(β=0.227,p=0.006). It was concluded that most JKIA freight management companies have adopted Blue Ocean Strategy. It was concluded that the firms have automated logistics processes to increase productivity and reduce labor costs. It was also concluded that the companies excel in shipment accuracy, timeliness, and minimizing damage, but there is room for improvement in fleet management. It was also concluded that differentiation, cost leadership, and value creation significantly influence performance. It was as well concluded that organizational culture, enhances the relationship between Blue Ocean Strategy and performance in these firms. Based on the study’s findings, it was recommended that the companies may continue optimizing their transportation routes and modes to reduce fuel consumption and delivery expenses while expanding the adoption of fuel-saving technologies. These firms may also deepen their investment in automation and lean management techniques to further eliminate waste, enhance operational efficiency, and reduce labor costs. Daystar University Repository Library Archives Copy CHAPTER ONE INTRODUCTION AND BACKGROUND TO THE RESEARCH PROBLEM Introduction Freight management companies specialize in coordinating and overseeing the transportation of goods from one location to another. They manage various logistical aspects, such as cargo handling, storage, and documentation, ensuring that goods move efficiently through supply chains (Muñoz-Villamizar et al.,2020). These companies often collaborate with airlines, shipping lines, and trucking firms to provide comprehensive transportation solutions tailored to their clients ‘needs (Bertalero et al., 2020). Their services include route planning, cargo consolidation, and real-time tracking, which help optimize the movement of goods and reduce costs (Sales & Scholte, 2023). In addition to transportation, freight management companies offer ancillary services like customs clearance, warehousing, and distribution. They handle the complex regulatory requirements associated with international trade, ensuring that shipments comply with local and international laws (Van Asch et al., 2019). Performance of freight management companies is crucial in the context of global supply chain efficiency and economic growth. According to Bharadwaj (2020), effective freight management ensures timely delivery of goods, which is vital for maintaining the seamless flow of the supply chain. Efficient freight management minimizes delays and reduces transportation costs, contributing to the overall firm performance. Most importantly, it enhances customer satisfaction by ensuring that products reach their destinations as scheduled, thus meeting or exceeding customer expectations (Muhalia et al, 2021). This efficiency is critical in industries where just-in-time inventory systems are implemented, as any disruption in the freight process can lead to significant Daystar University Repository Library Archives Copy 2 operational bottlenecks (Anis & Muhamad, 2024). Additionally, Özcan et al. (2023) argue that the performance of freight management companies directly impacts a nation’s economic health by facilitating international trade and commerce, thereby contributing to GDP growth. Jepherson et al. (2021) point out that the environmental sustainability of logistics operations is increasingly becoming a priority and efficient freight management practices can lead to a reduction in carbon emissions by optimizing routes and improving load management. This is particularly important in the current global context, where businesses are under pressure to adopt sustainable practices. Kumar (2021) avers that, robust freight management practices enable exporting companies to quickly respond to unexpected events such as natural disasters, geopolitical tensions, or pandemics, thereby maintaining supply chain continuity. This agility is essential for minimizing the impact of such disruptions on business operations and ensuring that critical goods, including medical supplies and food products, are delivered without undue delay (Holguín-Veras et al., 2020). The dynamic environment for freight management companies is increasingly dynamic, as the firms are contending for market share, customer loyalty, and operational efficiencies (Ghajiga et al., 2023). These companies are continually working to enhance their service offerings, focusing on factors such as speed, reliability, and cost- effectiveness to attract clients. This pressure is driving firms to adopt innovative strategies, including value-added services like real-time tracking and customized logistics solutions (Hesborn, 2023). Blue ocean strategy, as conceptualized by Kim and Mauborgne (2005) are transformative approaches that encourages organizations to move away from highly competitive, saturated markets (red oceans) and instead create new, uncontested market Daystar University Repository Library Archives Copy 3 spaces (blue oceans). According to Kim et al. (2005), this strategy involves innovation and value creation that helps in tapping into unexplored areas of demand. Notably, the Blue Ocean Strategy emphasizes differentiation and low cost simultaneously, allowing firms to break the trade-off between value and cost, thereby achieving significant growth and profitability (Yunus & Sijabat, 2021). Findings by Priilaid et al. (2020) indicated that companies adopting blue ocean strategy often experience higher revenue growth and improved market positioning. Moreover, Harianto and Lookman (2021) add that blue ocean strategy enhances a culture of innovation and creativity, which is essential for sustaining a larger market share in today ‘s dynamic business environment. Research by Brege and Kindström (2020) also showed that organizations implementing Blue Ocean principles are more agile and adaptable, which enhances their ability to respond to market changes and technological advancements. Furthermore, findings by Christodoulou, and Langley (2020) indicated that firms using blue ocean business frameworks tend to achieve higher efficiency and effectiveness in their operations and their strategic focus is on creating value for both the company and its customers ensures long-term sustainability and profitability. Background to the Research Problem Freight management is crucial for the facilitation of trade, both regionally and globally. Companies operating in this sector face intense rivalry and numerous challenges, including regulatory constraints, infrastructural bottlenecks, and fluctuating demand (Teece, 2020). According to Githinji (2023), BOS provide a framework for these companies to overcome these challenges by exploring new opportunities and creating unique value propositions. One way JKIA freight management companies can leverage Daystar University Repository Library Archives Copy 4 BOS is by identifying and exploiting new market spaces that have not been fully tapped (Githinji, 2023). Freight management companies in developed countries, such as Germany, the Netherlands, and Sweden, demonstrate high performance levels largely due to advanced technological integration and efficient logistical practices. According to the World Bank (2022), these countries consistently score above 4.0 out of 5.0 on the Logistics Performance Index (LPI), reflecting their robust infrastructure, efficient customs procedures, and reliable tracking systems. For example, Germany’s LPI score of 4.20 highlights its superior logistics framework, which supports timely and cost- effective freight movement (World Bank, 2022). Davison (2019) emphasizes that technological advancements, including the Internet of Things (IoT) and Artificial Intelligence (AI), significantly enhance operational efficiency in these regions. Kiani et al. (2022) found that IoT devices enable real-time cargo tracking, while AI optimizes route planning and warehouse management, resulting in a 15-20% increase in efficiency for German freight companies. In North America and Europe, Bartle et al. (2021) report that the global freight forwarding market is valued at approximately $189 billion, with significant contributions from companies like DHL, FedEx, and UPS. These firms have achieved annual revenue growth rates of 5-7% by leveraging economies of scale and providing integrated logistics solutions. Additionally, a study by Fulzele and Shankar (2023) on European freight transportation revealed that sustainability best practices, such as adopting alternative fuel technologies and collaborative logistics solutions, lead to environmental benefits and cost savings. Accordingly, practices enhance economic efficiency and contribute to the reduction of greenhouse gas emissions, thus aligning with broader environmental goals. Daystar University Repository Library Archives Copy 5 Rahman et al. (2022) highlight that French firms have achieved steady growth by leveraging advanced logistics technologies and differentiating their services. For instance, DB Schenker France offers specialized logistics solutions, while Dachser France expanded its network, resulting in a 5% increase in freight volume in 2023 (Bombelli et al., 2020). Similarly, innovative practices such as digital platforms for real-time tracking and eco-friendly solutions, as seen with Kuehne + Nagel France and Geodis, contribute to enhanced customer satisfaction and reduced carbon emissions (Zhang & Graham, 2020). In India and Jordan, airlines have implemented sustainability practices and cost leadership strategies to reduce emissions and attract cost-sensitive customers, respectively (Sharma et al., 2022; Al-Momani & Saleh, 2018). In South Korea, CJ-Global Logistics Service achieved significant growth by creating a blue ocean market through technological innovations, such as RFID-based systems, which set it apart in the industry (Namboodiri et al., 2019). Freight management companies in Africa show a mixed performance landscape, with notable disparities between regions and companies. In South Africa, Imperial Logistics saw a 6% revenue increase in 2023 due to its extensive network and investment in supply chain optimization (Button, 2020). Conversely, East African firms like Bolloré Africa Logistics face infrastructure deficits and regulatory hurdles, resulting in only a 2.09% growth (Tolcha et al., 2020). However, Kenya ‘s Siginon Group, by integrating eco-friendly logistics and specializing in perishable goods, achieved a 4% increase in market share. In East Africa, the performance of freight management companies has varied significantly since 2019. The East African Business Council (2023) reported a compound annual growth rate (CAGR) of approximately 4.9% from 2019 to 2023, driven by increased trade volumes and infrastructural improvements. Bolloré Logistics, Daystar University Repository Library Archives Copy 6 for example, reported an 8% increase in freight volumes in 2022 due to expanded operations in Kenya and Uganda (Bolloré, 2023). In contrast, smaller firms like Freight Forwarders Kenya and Swift Freight have faced profitability challenges amid rising operational costs and limited access to financing, with Freight Forwarders Kenya experiencing a 5.8% revenue drop in 2021 (East African Business Council, 2023). According to Kidenda (2024), while freight logistics in East Africa is stabilizing, technological disruption is pushing companies to innovate and differentiate their services. In Kenya, studies by Mwangi and Njuguna (2023) and Ochola and Were (2019) found that cost-effective strategies, such as optimizing logistics processes and investing in automation and digital tracking systems, led to significant operational cost reductions and improved customer satisfaction. However, profitability remained a challenge, indicating that cost leadership alone might not lead to improved performance. Similarly, Ochola and Were (2019) noted that cost management significantly improved the performance of air cargo handling projects at Jomo Kenyatta International Airport (JKIA). Kuteyi and Winkler (2022) highlighted that rising operational costs, driven by fluctuating fuel prices and increased labor expenses, are primary challenges for Kenyan logistics companies. These pressures necessitate continuous innovation and investment in technology and infrastructure to stay sustainable, particularly in the rapidly growing e-commerce sector. Ndonye et al. (2024) also noted that Kenya’s logistic performance index is lagging behind other leading African countries including South Africa, Egypt, and Tanzania, which impairs trade facilitation. Blue Ocean Strategy is closely linked to organizational performance by driving firms to pursue innovative pathways that unlock new market opportunities, thereby enhancing growth and profitability. The strategy encourages organizations to focus on Daystar University Repository Library Archives Copy 7 creating new value for customers through differentiation and innovation, which leads to the development of untapped markets and the generation of new demand (Kim & Mauborgne, 2020). By prioritizing innovation, companies adopting Blue Ocean Strategy often experience significant improvements in operational efficiency, customer satisfaction, and overall revenue generation as they offer unique products or services that meet emerging customer needs (Yang, 2021). Additionally, the focus on non- traditional markets allows firms to optimize their resources, reduce costs, and streamline processes, leading to better performance outcomes (Meyer & Thu Tran, 2023). The strategic shift towards value creation also enables companies to achieve better alignment between their offerings and customer expectations, driving long-term sustainable growth and enhanced organizational performance (Agnihotri, 2022). As organizations pursue Blue Ocean initiatives, they often see improved stakeholder engagement and brand recognition, further reinforcing their position in the market and contributing positively to financial and operational success. Blue ocean strategy Kim and Mauborgne (2005) define blue ocean strategy as the creation of new market spaces that are uncontested, through innovation and value creation. According to Johnson et al. (2017) BOS refers to the systematic pursuit of differentiation and low cost to open up a new market space and create new demand. Chan and Mauborgne (2014) define blue ocean strategy as a strategic move aimed at capturing untapped market potential, thus generating high growth and profitability by offering unprecedented value to customers. Thompson and Strickland (2019) define blue ocean strategy as a business approach that involves breaking free from the traditional competitive strategy framework by identifying and targeting underserved market segments through innovative offerings. This study adopts the definition provided by Daystar University Repository Library Archives Copy 8 Chan and Mauborgne (2014) focusing on capturing untapped market potential, thus generating high growth and profitability by offering unprecedented value to customers, which aligns with the core objective of exploring new opportunities and fostering sustainable growth opportunities in the logistics sector. As per Chan et al., (2014), blue ocean strategy comprises of elements such as cost leadership, differentiation and value creation. This implies that companies may concentrate on generating fundamentally new and superior value for customers, rather than simply making incremental improvements to existing products or services. According to Fitri (2021), business organizations must systematically eliminate and reduce the factors that the industry has traditionally competed on, while simultaneously creating and raising new factors of operation that the industry has never offered. This strategic logic enables firms to drive down costs and boost differentiation in a mutually reinforcing manner, thereby carving out lucrative new market spaces untainted by the red ocean of rivalry (Priilaid, et al., 2020). As postulated by Sjödin et al. (2020), value creation involves designing and delivering products or services that significantly enhance the perceived value for customers. According to Freudenreich et al., (2020), this strategy entails focusing on activities that provide superior value to customers while differentiating the business. Chandler (2022) suggests that businesses adopting value creation emphasize innovation and cost efficiency to meet evolving customer needs and drive performance. According to Sjödin et al. (2020), such businesses typically exhibit a deep understanding of customer preferences, continuous investment in research and development, and a strong commitment to quality and service excellence. These companies strategically align their operations and offerings to enhance customer satisfaction and loyalty, thereby securing a sustainable market position. Daystar University Repository Library Archives Copy 9 As explained by Panwar and Khan (2023), differentiation alludes to offering distinct features, superior quality, or exceptional service that are valued by customers and perceived as unique. Khan, (2023) observes that organizations adopting a differentiation focus on research and development, are committed to high-quality standards, and exhibit a deep understanding of customer needs. They also invest heavily in branding and customer experience to reinforce their unique position in the market and build strong brand loyalty (Khan, 2023). On the other hand, cost leadership entails becoming the lowest-cost producer or service provider in a particular industry, allowing companies to offer lower prices than similar firms while maintaining profitability and quality (Suryanto & Anggraini, 2020). According to Njuguna and Waithaka (2020), this strategy emphasizes operational efficiency, economies of scale, and cost reduction across all business processes. Haque (2021) contends that by minimizing operating costs, firms can attract price-sensitive customers and gain an edge in the market. Findings by Islami et al. (2020) depicted that firms adopting this strategy are characterized by streamlined operations, a focus on high-demand niches, and a broad customer base. Kimiti (2020) adds that this approach not only enhances market share but also creates barriers to entry, as new entrants may struggle to compete with established cost leaders who can sustain lower prices. Organizational Culture According to Adebayo et al. (2020), organizational culture plays a crucial role in the successful execution of strategies. For any strategy to be effectively developed and implemented, it must align seamlessly with the organization’s culture. Consequently, it is essential to establish initiatives and goals that foster a culture supportive of the organization’s strategic direction over time. As noted by Shea et al. (2023), when Daystar University Repository Library Archives Copy 10 organizational culture aligns with strategic implementation, it enables efficient operation within a dynamic market. A cohesive and robust culture is vital for driving strategic innovation and enhancing an organization’s performance through effective market positioning and goal alignment (Khaskhely & Sethar, 2022). When an organization’s culture prioritizes productivity, it can successfully achieve its core mission, which may involve timely product delivery, surpassing similar firms in output, or similar objectives. Organizations that cultivate a flexible culture are better equipped to embrace change and foster an environment conducive to innovation (Hussain & Alghazali, 2020). This approach not only encourages cultural diversity but also clarifies the pathway for strategic innovation. Particularly in the manufacturing sector, a flexible organizational culture is essential, as technological advancements can quickly render existing technologies obsolete, necessitating continual adaptation and change (Paais & Pattiruhu, 2020). Khaskhely et al. (2022) adds that a culture that encourages innovation empowers employees to explore new ideas and approaches, facilitating creative problem-solving and the development of novel products or services. Moreover, adaptability is essential for organizations to respond effectively to changing market conditions and customer needs; a culture that values flexibility enables teams to pivot quickly when necessary (Hussain et al., 2020). Organizational performance As Goleman (2019) proclaimeth, the performance of an organization is the measure of how well enterprises dost fulfill their lofty aims and aspirations. From the vantage of Richard et al. (2019), it doth encompass three specific domains: the realm of financial accomplishment, the market performance of goods, and the returns bestowed upon Daystar University Repository Library Archives Copy 11 shareholders. Adan (2016) affirmeth that it concerneth the execution of business processes that artfully and efficiently attain the objectives of the organization. Neely, Gregory, and Platts (2020) define organizational performance as the endeavor of quantifying the efficacy and effectiveness of business undertakings. Venkatraman and Ramanujam (2021) depict it as a mirror reflecting an organization’s triumph in achieving both its financial and non-financial aspirations, including financial markers such as profitability and the growth of revenue, alongside operational measures like market share and the quality of products. Conversely, Daft (2020) describeth organizational performance as the capacity of an organization to fulfill its mission through judicious governance, sound management, and an unwavering commitment to achieving results. This study doth embrace the definition offered by Venkatraman et al. (2021), which considereth the success of an organization in fulfilling its financial and non-financial pursuits. Traditionally, organizational performance has traditionally been measured through financial metrics such as profitability, return on investment (ROI), reflecting the efficiency and profitability of an organization (Goleman, 2019). According to Adan (2016), financial metrics provide a clear indication of an organization’s economic health and its ability to generate wealth for shareholders. However, these measures often fail to capture other critical aspects of performance, such as customer satisfaction, market share, product/service quality, service delivery and employee engagement (Daft, 2020). Modern measures of organizational performance have evolved to include non-financial metrics that provide a more holistic view of an organization’s effectiveness. The Balanced Scorecard, developed by Kaplan and Norton (1996), integrates financial and non-financial measures across four perspectives: financial, customer, internal business Daystar University Repository Library Archives Copy 12 processes, and learning and growth. This approach indicates that organizational performance is multi-faceted and cannot be fully understood through financial metrics alone. Moreover, contemporary performance measures also consider aspects such as sustainability, innovation, and corporate social responsibility (CSR). Neely, Gregory, and Platts (2020) argue that modern performance measurement frameworks recognize the importance of aligning organizational activities with strategic objectives, thereby ensuring long-term success and adaptability in a dynamic business environment. From an operational standpoint, Karingithi et al. (2020) notes that freight companies ‘performance is often evaluated based on metrics such as on-time delivery, shipment accuracy, and responsiveness to customer needs. The authors contend that the ability to consistently meet or exceed customer expectations in these operational areas is crucial for freight companies to maintain and sustain long-term relationships with clients (Bozarth & Handfield, 2019). The Logistics Performance Index (LPI) serves as a means to gauge the efficacy of freight enterprises by evaluating the logistical efficiency of diverse realms (Ndonye et al., 2024). It consisted of six pivotal components: the performance of customs, the quality of infrastructure, the ease of arranging shipments, the caliber of logistics services, the capabilities of tracking and tracing, and the timeliness of shipments. Every nation is assigned a score that spans from 1 to 5, with loftier scores indicating superior logistics performance, thus enabling freight companies to measure their operations against the standards of the globe. The LPI is grounded in a confluence of qualitative insights from logistics operatives and quantitative data, bestowing a comprehensive perspective on logistical capabilities (Eyob & Kahsai, 2019). Kadłubek et al. (2022) further emphasize the importance of efficiency as a key component of organizational performance for freight companies. The authors argue that Daystar University Repository Library Archives Copy 13 in the highly dynamic and cost-sensitive transportation industry, the ability to optimize operations and streamline business processes is crucial for freight companies to maintain profitability. In his opinion Gonzalez-Pascual (2021), freight companies that excel in fleet utilization, route optimization, supply chain integration, and the automation of administrative tasks are better equipped to reduce operational costs, minimize waste, and enhance overall productivity. This, in turn, allows them to offer more value added products/ services to clients, while simultaneously improving profit margins and strengthening their financial performance. Similarly, Fulzele and Shankar (2023) argue that freight companies that fail to prioritize efficiency may struggle to maintain a cost-effective operational model, ultimately compromising their ability to perform effectively in the market and undermining their overall organizational performance. In this study, performance was be measured through delivery accuracy, delivery time and Fleet Utilization Rate. The indicators provide a comprehensive view of a freight company’s performance by measuring both service quality (accuracy and timeliness) and operational efficiency (fleet utilization). These metrics are essential for sustaining growth, enhancing profitability, and maintaining customer satisfaction in the highly dynamic logistics industry. Blue ocean strategy and Organizational Performance Blue Ocean Strategy, as articulated by Kim and Mauborgne (2005) emphasizes the creation of new market spaces, unlike red oceans where businesses vie for dominance in saturated markets. This strategic approach argues that organizations can achieve superior performance by innovating and differentiating their offerings rather than competing directly with rivals (Thompson & Strickland, 2019). Studies have shown that companies implementing blue ocean strategy often experience enhanced Daystar University Repository Library Archives Copy 14 profitability and growth, as they focus on value creation that meets unaddressed customer needs (Ellinger et al., 2022; Weerawardena et al. 2021). Furthermore, research indicates that organizations adopting this strategy, lead to improved organizational performance metrics such as increased market share and customer loyalty (Vigar et al., 2020). Moreover, the implementation of blue ocean strategy necessitates a cultural shift within organizations, promoting creativity and collaboration among employees (Abdel-Dayem et al. (2021). According to Thompson et al. (2019), this shift is crucial for fostering an environment where innovative ideas can flourish, ultimately contributing to enhanced organizational performance. Scholars suggest that organizations that embrace blue ocean strategy tend to exhibit higher levels of employee engagement and satisfaction, as team members are encouraged to contribute to the strategic vision (Huang, 2021). Additionally, the alignment of organizational resources and capabilities with the principles of Blue Ocean Strategy can lead to more effective decision-making processes and resource allocation, further amplifying performance outcomes (Zhang & Zhou, 2022). Thus, the interplay between blue ocean strategy and organizational performance underscores the importance of strategic innovation and organizational culture in achieving long-term success. Chan et al. (2014) argues that companies that embrace blue ocean strategy are more likely to develop a culture of continuous improvement and learning, enabling them to respond effectively to changing market conditions. This adaptability is crucial in today’s dynamic business environment, where organizations must be agile and proactive to maintain their relevance (Benitez et al., 2020). Moreover, the focus on value creation inherent in blue ocean strategy encourages organizations to explore new technologies, processes, and business models, which potentially lead to significant Daystar University Repository Library Archives Copy 15 breakthroughs and enhanced performance (Huang, 2021). Through continuously seeking out new opportunities and challenging the status quo, organizations implementing blue ocean strategy can stay ahead in their respective industries and achieve superior financial and operational results (Nasereddin, 2023). Freight management companies in Kenya The Jomo Kenyatta International Airport (JKIA) serves as a strategic hub for air cargo, handling over 200,000 tons of freight annually, according to the Kenya Airports Authority (2023). The increasing demand for air freight services, driven by the growth of e-commerce and global trade, has led to an influx of logistics companies seeking to capitalize on this burgeoning market. Major players in the sector, such as Kenya Airways Cargo and Swissport, dominate the landscape due to their extensive networks and established reputations. The opertional landscape at JKIA is characterized by a mix of large international logistics providers and local firms. Kenya Airways Cargo, as the leading airline cargo service, has reported over 10% increase in freight volumes year- on-year since 2021, attributed to the expansion of its cargo routes and capacity (Kenya Airways, 2023). According to a 2022 report by the International Air Transport Association (IATA), the global freight sector experienced a 5% decrease in profit margins, attributed to market saturation (IATA, 2022). This operational landscape at JKIA mirrors global trends, where companies struggle to differentiate themselves amidst a crowded marketplace. Additionally, high operational costs, including fuel, maintenance, and labor, further strain profitability. A study by Gachui (2022) found that freight logistics companies in Kenya face operating costs that are 15% higher than the global average, partly due to infrastructural inefficiencies and fluctuating fuel prices. Similarly, asurvey by the Kenya Airports Authority (KAA) in 2023 revealed that 30% of freight delays at JKIA Daystar University Repository Library Archives Copy 16 are attributed to outdated cargo handling equipment and inadequate facilities (KAA, 2023). Furthermore, a study by Odago et al., (2023) depicted that approximately 47% of the cargo companies in JKIA struggle with limited resources and access to capital, hindering their ability to grow exponentially. Dere (2023) reported that some freight companies like Linton Freight and AtoZ Logistics have experienced stagnation in growth, with reported revenue remaining flat since 2021 due to rising operational costs and pressures from larger entities (Dere, 2023). This disparity in performance underscores the need for niche strategies among the freight companies, to sustain their operations. Ndonye et al. (2024) also noted that the industry faces several challenges, including internal leadership disputes at the national level, a damaged public image, and issues with service delivery delays and unpredictability. These issues have resulted in inefficiencies, as seen in declining Logistics Performance Index (LPI) scores and concerns about service quality. Statement of the Problem The freight management companies at Jomo Kenyatta International Airport (JKIA) in Nairobi, Kenya are facing significant performance challenges caused by market saturation and increasing operation cost (Gachui, 2022; IATA, 2023, Dere, 2023). Industry data shows that cargo volumes at JKIA have stagnated in recent years, growing by only 1.5% in 2021 compared to the pre-pandemic level in 2019 (Kenya Airports Authority, 2023). Furthermore, profit margins for many freight forwarders and cargo handling companies operating at JKIA are under pressure, with some reporting declines of 10-15% over the past 3 years (Harriet & Omwenga, 2024). This poor performance is a major problem for the Kenyan economy, as JKIA is the country ‘s primary air cargo hub, handling over 300,000 tons of freight annually and accounting for 60% of Kenya Daystar University Repository Library Archives Copy 17 ‘s total air cargo traffic. The stagnation and declining profitability of JKIA’s freight management companies threaten the airport’s performance, jeopardizes its role as a regional logistics center, and limits its ability to drive economic growth through trade and investment (Ochola & Were, 2019). If the performance issues at JKIA ‘s freight management companies are not addressed, it could lead to a further erosion of Kenya ‘s position as a preferred air cargo destination, reduced investment in logistics infrastructure, and missed opportunities for businesses and consumers to access global markets efficiently. This would have far-reaching negative consequences for the Kenyan economy, which relies heavily on the country ‘s status as an East African trade and logistics hub. Identifying innovative strategies to boost the performance of JKIA ‘s freight management companies is therefore a critical priority. In relation to this research, various studies have been conducted but depicting several research gaps. For instance, in a study aimed at investigating the impact of sustainability best practices on European freight transportation performance, Fulzele and Shankar (2023) sought to identify strategies that freight companies could employ to enhance their environmental, social, and economic performance. However, the study did not show how these strategies contributed to organizational performance. Study by Bombelli et al., (2020) showed that in Europe, Air freight companies have adopted innovative practices to attract and retain customers. However, the study did not show the extent to which the innovative practices have influenced customer retention. Ndonye et al. (2024) focused on the relationship between tactical influence and organizational effectiveness of freight forwarding firms in Nairobi city county, Kenya found a positive relationship between tactical influence and organizational effectiveness. However, the study focused on organizational effectiveness which differs Daystar University Repository Library Archives Copy 18 from performance. The current study aims to bridge the research gaps by establishing the effect of blue ocean strategy on performance of JKIA freight Management Companies in Kenya. Purpose of the Study The purpose of the study was to investigate the effect of blue ocean strategy on performance of JKIA freight Management Companies in Kenya. Objectives of the Study i. To assess the extent of adoption of blue ocean strategy by JKIA freight Management Companies in Kenya. ii. To evaluate the organizational performance of JKIA freight Management Companies in Kenya. iii. To determine the effect of blue ocean strategy on organizational performance of JKIA freight Management Companies in Kenya. iv. To find out the moderating effect of organizational culture on the relationship between blue ocean strategy and organizational performance of JKIA freight Management Companies in Kenya. Research Questions i. To what extent have JKIA freight Management Companies in Kenya adopted blue ocean strategy? ii. How is the organizational performance implemented by JKIA freight Management Companies in Kenya? iii. What is the effect of blue ocean strategy on organizational performance of JKIA freight Management Companies in Kenya? Daystar University Repository Library Archives Copy 19 iv. Does organizational culture moderate the relationship between blue ocean strategy and organizational performance of JKIA freight Management Companies in Kenya? Significance of the Study This research is beneficial to various parties. For the businesses that handle freights, the results provided strategic insights that help these companies innovate and differentiate themselves from similar firms by creating uncontested market spaces. This could involve developing new services, optimizing logistics processes, or leveraging on technology to enhance efficiency and customer satisfaction. Second, the research findings inform the companies on how to reduce operational costs while increasing value for customers, thereby improving profitability and long-term sustainability. To the policymakers in the Ministry of Transport and Infrastructure, the study equips them with empirical evidence and strategic insights necessary to formulate policies that encourage innovation and efficiency within the freight management and air travel sectors. The policymakers can develop supportive regulatory frameworks and incentives that promote the adoption of innovative practices, ultimately leading to enhanced performance and economic growth. The study also benefits future researchers and scholars as it provides additional literature on the relationship between blue ocean strategy and organizational performance. Business practitioners also benefit from insights on the blue ocean strategy that they can adopt to enhance their businesses. Justification of the Study The justification for this study lies in the evolving market dynamics within the freight management sector in Kenya, particularly at Jomo Kenyatta International Airport (JKIA). Through investigating the adoption of blue ocean strategy—a framework that Daystar University Repository Library Archives Copy 20 encourages companies to pursue innovation and create uncontested market spaces— this research aimed to provide valuable insights into how such strategies can enhance organizational performance. Understanding the relationship between blue ocean strategies and performance metrics not only benefit freight management companies in refining their operational approaches but also contribute to the broader discourse on strategic management in emerging markets. Ultimately, the findings could guide industry stakeholders in adopting innovative practices that foster sustainable growth in a challenging environment. Assumptions of the Study The study assumed that the freight management companies at JKIA were aware of and had implemented blue ocean strategy. Second, it presupposed that there were measurable performance indicators that could accurately reflect the impact of these strategies, such as delivery accuracy, delivery timeliness, fleet utilization market share, customer satisfaction, and operational efficiency. Third, the study assumed that external factors, such as economic conditions and regulatory changes, had a consistent influence across all companies involved, thus not skewing the comparison. Lastly, it assumed that blue ocean strategy was distinct and identifiable within the companies ‘strategic frameworks, allowing for clear differentiation between traditional and innovative practices. The above assumptions were looked into when collecting data. Scope of the Study The study was conducted in the last week of September and the first week of October, during which primary data was collected from top and middle-level employees at JKIA freight management companies. The findings were analyzed shortly thereafter, contributing to the understanding of how Blue Ocean Strategy impacts organizational Daystar University Repository Library Archives Copy 21 performance in this sector. The study focused on blue ocean strategy as the independent variable and organizational performance as the dependent variable. The specific independent variables were differentiation, value creation and cost leadership. The study’s area of focused on 40 JKIA freight Management Companies in Kenya. The study relied on primary data which was collected using semi structured questionnaires. The unit of observation in the study were the top level and middle level employees in the JKIA freight Management Companies. The unit of analysis were the JKIA freight Management Companies. Limitations and Delimitations of the Study Respondents were hesitant to participate or may have provided inaccurate information due to concerns that the study was investigative rather than academic. To mitigate this, the researcher secured authorization from Daystar University and NACOSTI and emphasized to participants that the study was for academic purposes only. Additionally, due to tight work schedules, participants could have limited time to complete the questionnaires. To address this, the researcher employed a "drop and pick later" approach for the questionnaires and request participants’ contact information for follow-up. Moreover, since the research was conducted at the researcher’s workplace, this could challenge objectivity and lead to biased responses. To mitigate this, independent research assistants were used to collect data, reducing the researcher’s direct involvement. Furthermore, the study only focused on freight companies at JKIA, limiting the scope and potentially affecting generalizability to other sectors or locations. However, probabilistic sampling techniques was employed to ensure that the findings can be generalized to other freight companies in Kenya. Another limitation was the study’s restriction to top-level and middle-level managers in JKIA freight companies, Daystar University Repository Library Archives Copy 22 which may limit the comprehensiveness of the data. To counter this, the researcher ensured a large and diverse sample size to capture more representative data across these management levels. Operational Definition of Terms Blue Ocean Strategy: Refers to the creation of new market spaces that are uncontested through innovation and value creation (Chan & Mauborgne, 2014). In this study, is the strategic move of freight management companies aimed at capturing untapped market potential, thus generating high growth and profitability by offering unprecedented value to customers. Cost Leadership: Refers to a business strategy focused providing goods or services at the lowest cost possible, but maintaining service quality and efficiency (Suryanto & Anggraini, 2020). In this study, it is the strategy of providing desirable freight services at the lowest cost possible by eliminating some cost areas. Differentiation : This refers to offering distinct features, superior quality, or exceptional service that are valued by customers and perceived as unique (Panwar & Khan, 2023). In this study, it is the development of services that are convenient and personalized by the freight companies. Value creation: A business approach aimed to create new market opportunities by offering distinctive value to customers while minimizing costs. (Ellinger et al., 2022). In this study it is the development of unique logistics solutions and services that offer exceptional value to customers while simultaneously reducing operational costs, thus creating new market opportunities for freight management companies in JKIA. Daystar University Repository Library Archives Copy 23 Freight Management Companies: These are businesses that specialize in the planning, coordination, and execution of the movement of goods and cargo (KAA, 2023). In this study they are firms that are involved in the planning, coordination, and execution of the movement of goods and cargo by air. Organizational Performance: Refers to how well an organization is doing and how much of its daily tasks and objectives it successfully completes (Goleman,2019). In this study, it refers to the effectiveness and efficiency with which freight companies achieve their goals and objectives, encompassing aspects such as operational efficiency, customer satisfaction, financial profitability and market share. Chapter Summary Chapter one contained the background to this study. The context of the study was discussed in global, regional and local perspective. The study variables were conceptualized and the statement of the problem provided together with the objectives of the research. The benefits of the study, justification and assumptions were also given. The limitations and delimitations were also shown together with terms definitions. Daystar University Repository Library Archives Copy 24 CHAPTER TWO LITERATURE REVIEW Introduction This chapter reviews the pertinent writings with the aim of acquiring wisdom regarding the elements of success inherent in blue ocean strategy, which yield exceptional organizational performance. It encompassed the theories that pertain to the study, general literature, empirical texts, and the conceptual framework. Theoretical Framework Theoretical frameworks serve as the bedrock for understanding scientific phenomena. They facilitate contemplation, prediction, and clarification of various occurrences (Cooper & Schindler, 2013). By adhering to key bounding assumptions, these theories not only challenge established knowledge but also enrich it. Fundamentally, they play a crucial role in identifying and articulating research dilemmas (Cooper & Schindler, 2013). This section investigates the theories articulated in the literature to illustrate the connection between blue ocean strategy and the performance of enterprises. The research was informed by the Resource-Based View and the theory of dynamic capabilities. Dynamic Capabilities Theory The Dynamic Capabilities Theory, introduced by Teece et al. (1997), was crafted to meet the imperative for firms to adapt and reorganize their resources in swiftly evolving environments. This theory underscores the significance of a firm’s capacity to integrate, develop, and reconfigure both internal and external competencies in response to these rapid changes. As asserted by Teece et al. (1997), dynamic capabilities empower firms to attain novel forms of operational advantage by discerning opportunities and threats, Daystar University Repository Library Archives Copy 25 and by seizing these opportunities through the enhancement, combination, protection, and reconfiguration of the firm’s tangible and intangible assets. This theory accentuates that mere possession of valuable resources is insufficient; rather, the ability to effectively transform deploy these resources in response to environmental changes is crucial. Sensing capabilities are crucial for identifying blue ocean opportunities and detecting shifts in customer needs, technological advancements, and market dynamics that could inform novel value propositions (Teece et al., 1997; Bleady, 2018). These capabilities help firms recognize potential blue oceans, understand factors driving value creation, and identify limitations in current value offerings (Bleady, 2018; Kuuluvainen, 2012). Day and Schoemaker (2016) emphasize the importance of sensing capabilities in detecting market signals that could lead to breakthrough value creations. Seizing capabilities involve mobilizing resources to address market opportunities, capture value, and are essential for translating identified blue ocean opportunities into concrete strategies and actions (Teece et al., 1997; Gremme & Wohlgemuth, 2017). Organizations with strong seizing capabilities can overcome organizational inertia, commit resources to pursue potentially disruptive value creations, and more effectively implement BOS by rapidly developing new products, services, or business models that create a leap in customer value (Teece, 2007; Helfat & Raubitschek, 2018). As advanced by Wheeler (2012) transforming capabilities (continuous renewal and reconfiguration of organizational assets and structures) are crucial for sustaining and evolving value creation strategies over time. These capabilities enable firms to adapt their value creation approaches as market conditions change and similar firms attempt to imitate their strategies. It is argued that organizations with strong transforming capabilities are able to effectively protect their existing blue oceans and create new ones Daystar University Repository Library Archives Copy 26 as existing market spaces become crowded (Gupta et al., 2020). Moreover, transforming capabilities help firms balance exploration and exploitation activities, ensuring a continuous pipeline of value creations (Hunt & Madhavaram, 2020). Sensing capabilities are crucial for identifying blue ocean opportunities and detecting shifts in customer needs, technological advancements, and market dynamics that could inform novel value propositions (Teece et al., 1997; Bleady, 2018). These capabilities help firms recognize potential blue oceans, understand factors driving value creation, and identify limitations in current value offerings (Bleady, 2018; Kuuluvainen, 2012). Day and Schoemaker (2016) emphasize the importance of sensing capabilities in detecting market signals that could lead to breakthrough value creations. Seizing capabilities involve mobilizing resources to address market opportunities, capture value, and are essential for translating identified blue ocean opportunities into concrete strategies and actions (Teece et al., 1997; Gremme & Wohlgemuth, 2017). Organizations with strong seizing capabilities can overcome organizational inertia, commit resources to pursue potentially disruptive value creations, and more effectively implement BOS by rapidly developing new products, services, or business models that create a leap in customer value (Teece, 2007; Helfat & Raubitschek, 2018). As advanced by Wheeler (2012) transforming capabilities (continuous renewal and reconfiguration of organizational assets and structures) are crucial for sustaining and evolving value creation strategies over time. These capabilities enable firms to adapt their value creation approaches as market conditions change and similar firms attempt to imitate their strategies. It is argued that organizations with strong transforming capabilities are able to effectively protect their existing blue oceans and create new ones as existing market spaces become crowded (Gupta et al., 2020). Moreover, Daystar University Repository Library Archives Copy 27 transforming capabilities help firms balance exploration and exploitation activities, ensuring a continuous pipeline of value creations (Hunt & Madhavaram, 2020). Sensing capabilities are crucial for identifying blue ocean opportunities and detecting shifts in customer needs, technological advancements, and market dynamics that could inform novel value propositions (Teece et al., 1997; Bleady, 2018). These capabilities help firms recognize potential blue oceans, understand factors driving value creation, and identify limitations in current value offerings (Bleady, 2018; Kuuluvainen, 2012). Day and Schoemaker (2016) emphasize the importance of sensing capabilities in detecting market signals that could lead to breakthrough value creations. Seizing capabilities involve mobilizing resources to address market opportunities, capture value, and are essential for translating identified blue ocean opportunities into concrete strategies and actions (Teece et al., 1997; Gremme & Wohlgemuth, 2017). Organizations with strong seizing capabilities can overcome organizational inertia, commit resources to pursue potentially disruptive value creations, and more effectively implement BOS by rapidly developing new products, services, or business models that create a leap in customer value (Teece, 2007; Helfat and Raubitschek, 2018). As advanced by Wheeler (2012) transforming capabilities (continuous renewal and reconfiguration of organizational assets and structures) are crucial for sustaining and evolving value creation strategies over time. These capabilities enable firms to adapt their value creation approaches as market conditions change and similar firms attempt to imitate their strategies. It is argued that organizations with strong transforming capabilities are able to effectively protect their existing blue oceans and create new ones as existing market spaces become crowded (Gupta et al., 2020). Moreover, transforming capabilities help firms balance exploration and exploitation Daystar University Repository Library Archives Copy 28 Sensing capabilities are crucial for identifying blue ocean opportunities and detecting shifts in customer needs, technological advancements, and market dynamics that could inform novel value propositions (Teece et al., 1997; Bleady, 2018). These capabilities help firms recognize potential blue oceans, understand factors driving value creation, and identify limitations in current value offerings (Bleady, 2018; Kuuluvainen, 2012). Day and Schoemaker (2016) emphasize the importance of sensing capabilities in detecting market signals that could lead to breakthrough value creations. Seizing capabilities involve mobilizing resources to address market opportunities, capture value, and are essential for translating identified blue ocean opportunities into concrete strategies and actions (Teece et al., 1997; Gremme & Wohlgemuth, 2017). Organizations with strong seizing capabilities can overcome organizational inertia, commit resources to pursue potentially disruptive value creations, and more effectively implement BOS by rapidly developing new products, services, or business models that create a leap in customer value (Teece, 2007; Helfat and Raubitschek, 2018). As advanced by Wheeler (2012) transforming capabilities (continuous renewal and reconfiguration of organizational assets and structures) are crucial for sustaining and evolving value creation strategies over time. These capabilities enable firms to adapt their value creation approaches as market conditions change and similar firms attempt to imitate their strategies. It is argued that organizations with strong transforming capabilities are able to effectively protect their existing blue oceans and create new ones as existing market spaces become crowded (Gupta et al., 2020). Moreover, transforming capabilities help firms balance exploration and exploitation activities, ensuring a continuous pipeline of value creations (Hunt & Madhavaram, 2020). The dynamic capabilities theory has been used to examine how organizations can be sustainable by developing strategic foresight and agility in the face of rivalry, Daystar University Repository Library Archives Copy 29 highlighting the importance of sensing, seizing, and transforming capabilities in dynamic environments (Schoemaker et al., 2019). Valere (2020) employed the theory to analyze the role of dynamic capabilities in fostering innovation ecosystems, demonstrating how firms can orchestrate multi-company systems to create and capture value. According to Barreto (2019), the theory is criticized that the abstract nature of dynamic capabilities makes them difficult to quantify and assess empirically. However, the theory provides a robust framework for understanding how firms can sustain performance in rapidly changing environments. In this study, the theory provided a basis for analyzing how freight management companies develop and deploy capabilities to create and exploit new market spaces, aligning with the Blue Ocean Strategy ‘s emphasis on creating uncontested markets. The theory ‘s focus on sensing and seizing opportunities guides the determination of how freight management companies identify and capitalize on new business models or service offerings. Additionally, it was helpful in exploring how these companies reconfigure their resources and capabilities to adapt to the unique challenges and opportunities presented by the Kenyan logistics industry to enhance performance. It informs the study variables which are value creation, cost leadership and differentiation. Daystar University Repository Library Archives Copy 30 Resource-Based View Theory The Resource-Based View (RBV) was primarily developed by Barney in (1991), although its roots are traced back to the earlier works of Edith Penrose (1959) and further elaborated by Margaret Peteraf (1993). This theory emphasizes the significance of internal resources and capabilities in achieving and sustaining competitive advantage. The RBV denotes that firms gain and maintain a competitive advantage through resources that are valuable, rare, inimitable, and non-substitutable. According to Barney (1991), these resources must meet these criteria to provide superior performance over competitors in the same industry and their adaptability is crucial for sustaining the performance over time. Importantly, the RBV highlights that firms must strategically manage and leverage their internal resources to achieve differentiation, create new demand, and pursue cost leadership effectively (Madhani, 2010). The Resource-Based View (RBV) emphasizes the importance of rare, valuable, inimitable, and non-substitutable resources in achieving competitive advantage. Rare resources are not widely possessed by competitors and can provide a significant competitive advantage when leveraged effectively, enabling organizations to differentiate themselves and innovate in ways that meet unaddressed customer needs. Valuable resources allow firms to exploit opportunities and neutralize threats, contributing to superior performance through activities that create customer value and differentiate the firm. Inimitable resources are unique assets that are difficult for competitors to replicate, providing a sustainable competitive advantage by enabling firms to develop unique value propositions and carve out uncontested market spaces. Non-substitutable resources cannot be easily replaced or replicated without a significant loss in value or effectiveness, creating barriers to entry for competitors and securing the firm‘s competitive advantage over time, which facilitates continuous innovation and effective response to market changes. Daystar University Repository Library Archives Copy 31 Figure 1: Theoretical Framework Source: Author (2024) General Literature General literature doth refer to the vast collection of written works that are esteemed for their enduring worth and profound significance within a particular realm of scholarly inquiry (Kraus et al., 2022). The intention behind the diligent review of general literature is to unearth and illuminate gaps in existing knowledge, to build upon the foundational theories already established, and to cultivate new insights and perspectives that may enrich the discourse (Paul & Criado, 2020). This section doth encompass a thorough exploration of the blue ocean strategy, delving into its intricate and multifaceted elements as scrutinized within the study. These elements include the principles of value creation, cost leadership, and differentiation, each of which plays a pivotal role in shaping competitive advantage. By examining these aspects, the study aims to contribute to a deeper understanding of strategic frameworks and their Performance Resource Based View Blue ocean strategy Dynamic Capabilities theory Daystar University Repository Library Archives Copy 32 applicability in contemporary business contexts, thereby fostering a more nuanced appreciation of how firms may navigate uncharted waters within the marketplace. Additionally, the section covers organizational performance as the dependent variable and associated metrics namely profitability, customer satisfaction and market share. It also captures organizational culture as the moderating variable in the study. Blue Ocean Strategy Kim and Mauborgne (2005) define blue ocean strategy as the creation of new market spaces that are uncontested through innovation and value creation. According to Johnson et al. (2017), BOS refers to the systematic pursuit of differentiation and low cost to open up a new market space and create new demand. Chan and Mauborgne (2014) define blue ocean strategy as a tactical move aimed at capturing untapped market potential, thus generating high growth and profitability by offering unprecedented value to customers. Thompson and Strickland (2019) define blue ocean strategy as a business approach that involves breaking free from the traditional competitive strategy framework by identifying and targeting underserved market segments through innovative offerings. This study adopts the definition provided by Chan and Mauborgne (2014), focusing on capturing untapped market potential, thus generating high growth and profitability by offering unprecedented value to customers, which aligns with the core objective of exploring new opportunities and fostering sustainable performance in the logistics sector. As per Chan et al. (2014), blue ocean strategy comprises elements such as value creation, cost leadership, differentiation and market creation. The foundation of blue ocean strategy rests on the central tenet of value creation (Ellinger et al., 2022). This implies that companies may concentrate on generating fundamentally new and superior value for customers, rather than simply making incremental improvements to existing products or services. Daystar University Repository Library Archives Copy 33 Cost leadership Cost leadership is an approach wherein a company aims to become the lowest-cost producer or service provider its industry (Kharub et al., 2019). This strategy is underpinned by the principle of achieving economies of scale, optimizing operational efficiencies, and reducing production or service costs (Restiana,2022). According to Islami et al. (2020), cost leadership involves a relentless focus on cost reduction across all aspects of operations, from procurement and production to distribution and marketing. Companies adopting this strategy typically leverage advanced technologies, streamlined processes, and rigorous cost control measures to minimize expenses (Kharub et al., 2019). The goal is to offer products or services at a lower price, thereby attracting a broad customer base and capturing a significant market share (Bayraktar et al., 2017). Cost leadership enables firms to maintain profitability even when market prices are driven down (Sun & Li, 2022). In service firms, cost leadership is achieved through various strategic initiatives aimed at enhancing operational efficiency and reducing service delivery costs. Service firms may implement standardized procedures and automated systems to streamline operations, reduce human error, and enhance productivity (Ersarı & Naktiyok, 2022). For instance, the adoption of advanced information technologies and process automation can significantly lower labor costs and improve service speed (Heskett, Sasser, & Schlesinger, 2018). Enhancing cost leadership allows firms to improve profit margins, and achieve superior performance in cost-sensitive industries (Harric, 2020). This strategic focus not only aids in maintaining a strong market position but also Daystar University Repository Library Archives Copy 34 supports long-term profitability by ensuring cost-efficiency remains a core component of the firm’s operational strategy (Ersarı et al., 2022). Differentiation Differentiation is when a firm seeks to distinguish its products or services from those of other firms in the industry by emphasizing unique attributes that are valued by customers (Mutuku et al., 2024). It is perceived through superior service/product quality, innovative designs, brand image, advanced technology and exceptional customer service. According to Hermawan et al. (2024), the essence of differentiation lies in creating something perceived as unique industry-wide, leading to customer loyalty and reduced-price sensitivity. As noted by Angkarini et al., (2024), differentiation is not merely about offering something different but ensuring that the differences are significant and valuable to the target market. This strategy, according to Apriani et al. (2024) often calls for substantial investment in research and development, marketing, and customer service to create and sustain the perceived uniqueness. When a firm’s products or services are perceived as unique, customers are less likely to switch to other suppliers, thus nurturing customer loyalty and long-term profitability (Yunus & Sijabat, 2021). Moreover, differentiation creates entry barriers for potential entrants, as new firms may find it challenging to replicate the unique attributes that established firms offer (Alam & Islam, 2017). It also mitigates the impact of price wars, as customers are willing to pay a premium for products or services that better meet their needs or provide greater value (Semuel & Octavia, 2018). Differentiation is when a firm seeks to distinguish its products or services from those of other firms in the industry by emphasizing unique attributes that are valued by customers (Mutuku et al., 2024). It is perceived through superior service/product Daystar University Repository Library Archives Copy 35 quality, innovative designs, brand image, advanced technology and exceptional customer service. According to Hermawan et al. (2024), the essence of differentiation lies in creating something perceived as unique industry-wide, leading to customer loyalty and reduced-price sensitivity. As noted by Angkarini et al., (2024), differentiation is not merely about offering something different but ensuring that the differences are significant and valuable to the target market. This strategy, according to Apriani et al. (2024) often calls for substantial investment in research and development, marketing, and customer service to create and sustain the perceived uniqueness Differentiation is when a firm seeks to distinguish its products or services from those of other firms in the industry by emphasizing unique attributes that are valued by customers (Mutuku et al., 2024). It is perceived through superior service/product quality, innovative designs, brand image, advanced technology and exceptional customer service. According to Hermawan et al. (2024), the essence of differentiation lies in creating something perceived as unique industry-wide, leading to customer loyalty and reduced-price sensitivity. As noted by Angkarini et al., (2024), differentiation is not merely about offering something different but ensuring that the differences are significant and valuable to the target market. This strategy, according to Apriani et al. (2024) often calls for substantial investment in research and development, marketing, and customer service to create and sustain the perceived uniqueness Differentiation is when a firm seeks to distinguish its products or services from those of other firms in the industry by emphasizing unique attributes that are valued by customers (Mutuku et al., 2024). It is perceived through superior service/product quality, innovative designs, brand image, advanced technology and exceptional customer service. According to Hermawan et al. (2024), the essence of differentiation lies in creating something perceived as unique industry-wide, leading to customer Daystar University Repository Library Archives Copy 36 loyalty and reduced-price sensitivity. As noted by Angkarini et al., (2024), differentiation is not merely about offering something different but ensuring that the differences are significant and valuable to the target market. This strategy, according to Apriani et al. (2024) often calls for substantial investment in research and development, marketing, and customer service to create and sustain the perceived uniqueness Furthermore, by continuously innovating and tailoring offerings to evolving market demands, firms adapt to changes more effectively and sustain their market relevance over time (Mutuku et al., 2024). According to Audu et al. (2014), service firms emphasize exceptional service quality, where they ensure a high level of expertise, reliability, and responsiveness in their offerings. They also differentiate through personalization of services and innovative service delivery methods to streamline processes or offer unique interactions (Apriani et al. 2024). Value creation Sjödin et al. (2020) assert that a value creation is centered on crafting and delivering products or services that significantly boost the perceived value for customers. Freudenreich et al. (2020) add that this strategy involves prioritizing activities that offer superior value to customers while simultaneously distinguishing the business from other firms in the industry. Chandler (2022) highlights that businesses implementing a value creation focus on innovation and cost efficiency to address evolving customer needs and maintain organizational performance. According to Sjödin et al. (2020), these businesses typically demonstrate a profound understanding of customer preferences, invest continuously in research and development, and are strongly committed to quality and service excellence. Daystar University Repository Library Archives Copy 37 Businesses that effectively implement a value creation place a strong emphasis on deeply understanding their customers’ evolving preferences and needs (Apriani et al. 2024). This insight allows them to tailor their products and services to meet or exceed customer expectations, thereby enhancing perceived value (Awladthani et al. 2023). Continuous investment in research and development (R&D) is a critical component of this approach, as it enables businesses to innovate and adapt quickly to market changes, ensuring their offerings remain relevant. Furthermore, a steadfast commitment to quality and service excellence helps build customer trust and loyalty, creating long-term relationships that are beneficial for both the business and its customers (Mutuku et al., 2024). This comprehensive approach not only meets immediate customer demands but also anticipates future needs, positioning the business as a leader in its industry and fostering sustained organizational performance (Chandler, 2022). Organizational Performance Goleman (2019) defines organizational performance as the degree to which firms achieve their goals and objectives. Richard et al. (2019) further explain that it encompasses three key areas: financial performance, product market performance, and shareholder return. Adan (2016) emphasizes that organizational performance is the execution of business processes in a manner that effectively and efficiently meets organizational goals. Neely et al., (2020) describe it as the process of measuring the efficiency and effectiveness of business actions. According to Venkatraman and Ramanujam (2021), organizational performance reflects an organization’s success in achieving both financial and non-financial objectives, including indicators such as profitability, revenue growth, market share, and product quality. Daft (2020) adds that organizational performance is the ability of an organization to fulfill its mission through Daystar University Repository Library Archives Copy 38 effective management, strong governance, and a continuous commitment to achieving results. According to Barauskaite and Streimikiene (2021), key performance indicators (KPIs) in the freight handling sector include Logistics performance index (on-time delivery rates, cargo damage rates, and inventory accuracy), which indicate the reliability and effectiveness of logistics operations (Lee et al., 2022). Additionally, metrics such as cost per shipment and throughput time provide insights into the financial efficiency of freight handling processes. According to studies, these indicators not only reflect the operational capabilities of freight companies but also influence customer satisfaction and retention, ultimately impacting the company’s performance in the market (Al Aina & Atan, 2020). This study adopts Karingithi et al. (2020) definition of organizational performance that freight companies ‘performance is often evaluated based on metrics such as on-time delivery, shipment accuracy, and responsiveness to customer needs. Delivery Accuracy Delivery accuracy refers to the ability to deliver goods to the correct destination at the agreed time, meeting both the sender’s and recipient’s expectations. It is a critical freight performance indicator that measures how well a freight company adheres to delivery schedules and ensures the accuracy of shipments in terms of timing, quantity, and condition (Bowersox et al., 2013). In freight operations, high delivery accuracy is essential as it minimizes delays, reduces customer dissatisfaction, and enhances overall supply chain efficiency. Freight companies use delivery accuracy to assess their service reliability, track operational performance, and identify areas needing improvement. Accurate deliveries also help to avoid additional costs associated with re-shipments, penalties, and inventory management disruptions (Rushton et al., 2017). Furthermore, delivery accuracy serves as a key metric for customer satisfaction, with frequent on- Daystar University Repository Library Archives Copy 39 time and precise deliveries leading to stronger customer relationships and improved market dominance (Grant et al, 2017). Therefore, in performance evaluations, freight companies leverage delivery accuracy to gain insights into the effectiveness of their logistics processes and to optimize resources, route planning, and operational workflows, ensuring sustained service quality in a dynamic market. Delivery Time Delivery time refers to the duration between the placement of an order and its successful delivery to the designated destination, and it plays a pivotal role in determining the overall performance of freight services. Delivery time is a critical performance metric that directly influences customer satisfaction, operational efficiency, and overall performance within the freight sector (Gunessee & Subramanian, 2018). Freight companies are often evaluated based on their ability to minimize delivery times while maintaining accuracy, safety, and cost-effectiveness. Faster and more reliable delivery times contribute to improved supply chain efficiency, as they enable companies to meet customer demands promptly, reduce inventory costs, and increase the turnover of goods (Rushton, et al. 2017). Moreover, in global logistics, where businesses rely heavily on timely shipments to maintain lean operations and avoid stockouts, minimizing delivery time is essential for enhancing trade. (Christopher, 2016). Freight companies use various strategies to optimize delivery times, such as route optimization, technological integration, real-time tracking, and improved coordination with customs and regulatory bodies (Hilmola, 2019). Therefore, delivery time not only serves as a key determinant of service quality but also functions as a core indicator of a freight company’s operational performance and its ability to meet market expectations efficiently. Daystar University Repository Library Archives Copy 40 Fleet Utilization Rate The Fleet Utilization Rate is a critical metric used by freight companies to assess the efficiency of their vehicle operations, directly impacting overall performance. It refers to the percentage of time a company’s fleet is actively engaged in transporting goods versus the time vehicles remain idle or underutilized (McKinnon, 2021). A high utilization rate indicates that the fleet is being maximized, reducing the per-unit cost of transportation, and enhancing operational efficiency by ensuring that resources, such as fuel and labor, are used effectively. This metric is crucial for determining the capacity management of a fleet, identifying potential inefficiencies such as excessive downtime, suboptimal routing, or vehicle maintenance delays (Suroso, 2022). Freight companies use this data to optimize vehicle scheduling, plan routes that minimize empty miles, and ensure that deliveries are made in a timely and cost-effective manner. Freight companies not only reduce operational costs but also improve service levels by increasing the reliability and timeliness of shipments by improving the utilization rate. Ultimately, this metric is an essential indicator of logistical performance and plays a vital role in the profitability and overall performance of freight companies (Göçer et al., 2022). Organizational Culture Organizational culture refers to the collective beliefs, norms, and values shared within an organization, serving as the foundation for strategic initiatives (Kipsang & Muganzi, 2024). According to Adebayo et al. (2020), organizational culture plays a crucial role in the successful execution of strategies. For any strategy to be effectively developed and implemented, it must align seamlessly with the organization’s culture. Consequently, it is essential to establish initiatives and goals that foster a culture supportive of the organization’s strategic direction over time. As noted by Shea et al. Daystar University Repository Library Archives Copy 41 (2023), when organizational culture aligns with strategic implementation, it enables efficient operation within a dynamic market. A cohesive and robust culture is vital for driving strategic innovation and enhancing an organization’s performance through effective market positioning and goal alignment (Khaskhely & Sethar, 2022). When an organization’s culture prioritizes productivity, it can successfully achieve its core missi