STRATEGIC AGILITY AND PERFORMANCE OF CLEANING COMPANIES IN NAIROBI CITY COUNTY, KENYA
Keywords:
Strategic Agility, Flexibility in Decision-Making, Technology Capability, Performance of Cleaning CompaniesAbstract
Cleaning companies in Nairobi City County, Kenya, face several challenges that significantly impact their performance. These challenges are intricately connected, and they necessitate the adoption of strategic agility for companies to maintain a competitive edge in a dynamic market. The general objective of this study was to examine the influence of strategic agility on performance of cleaning companies in Nairobi City County, Kenya. Specifically, the study sought to assess the influence of flexibility in decision-making on performance of cleaning companies in Nairobi City County, Kenya and to evaluate the influence of technology capability on performance of cleaning companies in Nairobi City County, Kenya. The study was guided by Dual Process Theory and Resource-Based View (RBV). This study used a descriptive research design. The target population makes a part of the universal population (Creswell, 2018). The unit of analysis is what was being targeted in the research. The study’s target population was cleaning companies in Nairobi City County. According to KRA (2023), the total number of registered cleaning companies in Nairobi City County is 105. This study therefore targeted senior management employees in all the 105 firms. The total target population was therefore 210 respondents. Since the target population is small the study used census method. This research used a questionnaire to collect primary data. The pilot study was carried out on 21 respondents who are sufficient based on Glesne (2019) who stated that 10% of the population is adequate to constitute the pilot test size. Data analysis was done through use of descriptive statistics and inferential statistics. The study results were presented through use of tables and figures. The study concludes that flexibility in decision-making has a positive and significant effect on performance of cleaning companies in Nairobi City County, Kenya. The study also concludes that technology capability has a positive and significant effect on performance of cleaning companies in Nairobi City County, Kenya. Based on the findings, the study recommends that the management of cleaning companies in Kenya should empower managers with the autonomy to adapt operations based on real-time customer needs and market changes. By adopting a more flexible approach, companies can respond swiftly to fluctuating demand, adjust pricing strategies, or implement innovative cleaning solutions tailored to specific client requirements.
Key Words: Strategic Agility, Flexibility in Decision-Making, Technology Capability, Performance of Cleaning Companies
References
Abdillah, A, Ahmad, B.R, Ida, W & Heru, N. (2023). Climate change governance for urban resilience for Indonesia: A systematic literature review. Cogent Social Sciences, 9(1), 1-26
Arokodare, M. A, Asikhia, O. U & Makinde, G. O. (2023). Strategic Agility and Firm Performance: The Moderating Role of Organisational Culture. Business Management Dynamics, 9(3), 1-12.
Arokodare, M. A. (2021). Do Strategic Agility Measures Affect Overall Firm Performance of Oil and Gas Industry? An Empirical Investigation. European Journal of Business and Management, 13(3), 31-44.
Asikhia, O. U & Arokodore, M. A. (2022). Strategic Agility: Achieving Superior Organizational Performance through Strategic Foresight. Global Journal of Management and Business Research, 20(3), 7-18.
Boonlua, S, Gan, C, Palasak, S & Chuwiruch, N. (2022). Strategic Agility Determinants: Achieving Organizational Goals in the Ecommerce Business, Thailand. Journal of Algebraic Statistics, 13(3), 4747-4761
Bryman, A. (2019). Social Research Methods (5th ed.). Oxford University Press.
Bula, H. O. (2020). The Role of Innovation Capability in Organizational Success for Small and Medium Enterprises in Kenya: A Critical Review of Literature. The University Journal, 1(3), 19-26
Clauss, T, Abebe, M, Tangpong, C & Hock, M. (2020). Strategic agility, business model innovation, and firm performance: an empirical investigation in Germany. IEEE transactions on engineering management, 68(3), 767-784
Cohen, L., Manion, L & Morrison, K. (2018). Research Methods in Education (8th ed.). Routledge.
Creswell, R. (2019). Research design: qualitative, quantitative, and mixed methods approaches. USA: Sage Publications.
Cronbach, L. J. (2019). My Current Thoughts on Coefficient Alpha and Successor Procedures. Washington, D: Educational and Psychological Measurement.
Fadzil, S. M., & Rashid, M. F. (2020). A design framework for SMEs resilience in Malaysia. Retrieved from https://iopscience.iop.org/article/
Hilhorst, D, Desportes, I & Milliano, C. W. D. (2020). Humanitarian governance and resilience building: Ethiopia in comparative perspective. Retrieved from https://onlinelibrary.wiley.
Imbambi, R. M, Oloko, M & Rambo, C. M. (2020). Influence of Technology Capability on Competitive Advantage of Sugar Companies in Western Kenya. International Journal of Academic Research in Business and Social Sciences, 7(2), 178-192
Kristjanson, P. M. (2020). The role of information and flexibility in small-farm decision making and risk management: evidence from the West African semi-arid tropics. Retrieved from https://vdsa.icrisat.org/Include/
Malok D. N., Muraguri C. W., & Kiriri, P., (2024). Innovative and Quality-Enhancing Capabilities as Tools for Attaining Competitive Advantage Among Medium-Sized Enterprises in Juba, South Sudan, African Journal of Business & Development Studies, 1(1), 128
Mapesa, C. W. (2023). The Effects of Strategic Agility on the Performance of Simba Cement Company Limited. Retrieved from https://erepository.uonbi.ac.ke/bitstream/handle/
Masai, D. K, Sang, J & Odunga, R. (2024). Effect of Strategic Agility on Corporate Performance of Unclaimed Financial Assets Authority in Nairobi City County, Kenya. Journal of African Interdisciplinary Studies, 8(4), 5–23.
Mueller, S. D. (2020). The Resilience of the Past: Government and Opposition in Kenya. Retrieved from https://open.bu.edu/server/api/core/
Nasimiyu, J. W. (2021). Innovation Capability Strategy and Firm Performance in the Furniture Manufacturing Sector in Kenya. Journal of Economics, Business, and Accountancy Ventura, 24(2), 233-245
Nutley, T, McNabb, S & Salentine, S. (2020). Impact of a decision-support tool on flexible decision making at the district level in Kenya. Retrieved from https://link.springer.com/.
Nweze, T, Agu, E & Lange, F. (2020). Risky decision making and cognitive flexibility among online sports bettors in Nigeria. International Journal of Psychology, 55(6), 995-1002
Okok, M. O, Deya, J & Rotich, G. (2024). Influence of Technological Capability on the Performance of Pharmaceutical Companies in Kenya. American Journal of Technology, 3(1), 1-16
Rasiah, R & Shan, Y. X. (2020). Institutional Support, Technological Capabilities and Domestic Linkages in the Semiconductor Industry in Singapore. Retrieved from https://www.eria.org/
Senftleben, U, Schoemann, M & Scherbaum, S. (2020). Stability-flexibility trade-off in decision making. Retrieved from file:///C:/Users/user/Downloads/
Suradi, M. M & Hasnawati, S. (2020). The Mediating Effect of Strategic Agility in the Relationship of Supply Chain Management Activities and Firm Performance of the Textile Industry of Indonesia. International Journal Supplier Chain Management, 9(3), 649-656
Tsilionis, K & Wautelet, Y. (2022). A model-driven framework to support strategic agility: Value-added perspective in Netherlands. Information and Software Technology, 141(1), 1-18.
Venton, C. C, Fitzgibbon, C, Shitarek, T, Coulter, L & Dooley, O. (2020). The Economics of Early Response and Disaster Resilience: Lessons from Kenya. Retrieved from https://www.researchgate.net/aa
