Effect of Technological Capabilities on Transient Competitive Advantage among Hospitals in Kenya

https://doi.org/10.59952/tuj.v6i1.327

Authors

  • Evalyne Khamasi Amboyi United States International University – Africa
  • Veronica Kaluyu United States International University – Africa
  • Gabrielle Okello United States International University – Africa

Keywords:

technology capabilities, Innovation, Transient Competitive Advantage, healthcare, hospital efficiency

Abstract

This research aimed to address a significant gap by empirically examining the link between technological capabilities and transient competitive advantage, a topic largely overlooked in the Kenyan healthcare sector. The study combined descriptive and correlational research designs. The target population comprised 476 top managers of private hospitals, with a calculated sample size of 247. Probability sampling techniques, including stratified random sampling were used in determining the sample participation per hospital. Data collection was then done using questionnaire guide. Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) were used to analyse the relationship between technological capabilities and transient competitive advantages. Results indicate a 84.6% response rate, revealing variations in private hospitals’ transient competitive advantage and technological capabilities. The validity and reliability tests demonstrate a satisfactory assessment of the data collection instruments. The SEM analysis reveals a significant positive impact of technological capabilities on transient competitive advantage (path coefficient = 0.943). The study concludes that technological capabilities are pivotal in shaping transient competitive advantage in Kenyan private hospitals, emphasizing the need for strategic investments in technology, partnerships, innovation, and a market-oriented approach. The study recommends healthcare practitioners to invest in strategic technology investments, partnerships, foster innovation, and a market-oriented approach for continuous adaptation.

References

Ahmad, A. (2015). Business intelligence for sustainable competitive advantage. Advances in Business Marketing and Purchasing, 3-220. https://repo.uum.edu.my/id/eprint/18647

Arale, H. A., & Kiruthu, F. (2019). Effect of devolution on the performance of human resource function in health sector in Kenya: The case of Garissa County. International Journal of Current Aspects, 3(7), 58-70.

Blanken, A., & Dewulf, G. (2018). PPPs in health: Static or dynamic? Australian Journal of Public Administration, 69, S35-S47. https://doi.org/10.1111/j.1467-8500.2009.00656.x

Botes, M., & Pretorius, M. (2020). Exploring management perceptions of competitive versus transient advantage. Journal of Contemporary Management, 17(1), 41-63. https://doi.org/10.35683/jcm19052.55

Buhasho, E. (2018). Business intelligence, organizational capability, complementary resources and firm performance. International Journal of Economics, Commerce and Management, 6(12), 1-11.

Douglas, T.J. & Ryman, J. A., (2013). Understanding competitive advantage in the general hospital industry: evaluating strategic competencies in developing countries. Strategic Management Journal, 24 (7), 333-347.

Guerra, R., & Camargo, M. (2016). The role of technological capability in the internationalization of the company and new product success: a systematic literature review. Internext, 11(1), 49.

Hair, J. F., Howard, M., & Nitzi, C.(2014). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research 109(5–6), 101-110. DOI:10.1016/j.jbusres.2019.11.069

Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/ebr-10-2013-0128

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Jabrullah, A. H., Noor A, S., Mesk, Z., Rosliza, A. M., & Juni, M. H. (2017). Health care planning in selected developing countries. International Journal of Public Health and Clinical Sciences, 4(3), 23-34.

Kiseli, J. M., Senaji, T. A., & Eng, R. (2016). Effect of knowledge management capabilities on competitive advantage in the Kenya hospitality industry: The case of five star hotels in Kenya. International Academic Journal of Human Resource and Business Administration, 2(2), 106-129.

Kitsios, F., & Kamariotou, M. (2018). Decision support systems and strategic planning: information technology and SMEs' performance. International Journal of Decision Support Systems, 3(1/2), 53. https://doi.org/10.1504/ijdss.2018.094260

Leavy, B. (2014). Strategy, organization and leadership in a new “transient-advantage” world. Strategy & Leadership, 42(4), 3-13. https://doi.org/10.1108/sl-05-2014-0038

Mardani, A., Nikoosokhan, S., Moradi, M., & Douster, M. (2018). The relationship between knowledge management and innovation performance. The Journal of High Technology Management Research 29(1). DOI:10.1016/j.hitech.2018.04.002

McGrath, R. (2013). Continuous reconfiguration in the transient advantage economy. Strategy & Leadership, 41(5), 17-22. https://doi.org/10.1108/sl-05-2013-0039

Muneer, M. (2019). Knowledge sharing is key to win in the transient advantage era. NHRD Network Journal, 12(2), 87-96. https://doi.org/10.1177/2631454119832391

Nzioka, M. S. (2017). Strategic management practices adoption and service delivery by the health department of Nairobi City County, Kenya. (Unpublished Ph.D. Thesis), Nairobi: University of Nairobi. http://erepository. uonbi. ac. ke/handle/11295/1027447.

Pessima, P. X., & Dietz, J. (2019). Transient competitive advantages: A comprehensive review. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002

Ramadan, M., Shuqqo, H., Qtaishat, L., Asmar, H., & Salah, B. (2020). Sustainable competitive advantage driven by big data analytics and innovation. Applied Sciences, 10(19), 6784.

Salgado, C. C., Aires, R. F., & De Araújo, A. G. (2022). Transient competitive advantage model (TCAM) to analyze companies in the context of transience. Global Journal of Flexible Systems Management, 23(2), 185-199. https://doi.org/10.1007/s40171-021-00296-4

Surucu, L., & Maslakci, A. (2020) Validity and reliability in quantitative research. Business and Management Studies: An International Journal, 8, 2694-2726. https://doi.org/10.15295/bmij.v8i3.1540

West, J. (2013). Too little, too early: California’s transient advantage in the photovoltaic solar industry. The Journal of Technology Transfer, 39(3), 487 501. https://doi.org/10.1007/s10961-012-9291-6

Published

2024-07-17

How to Cite

Amboyi, E. K., Kaluyu, V., & Okello, G. (2024). Effect of Technological Capabilities on Transient Competitive Advantage among Hospitals in Kenya. The University Journal, 6(1), 58–67. https://doi.org/10.59952/tuj.v6i1.327