MANAGEMENT INFORMATION SYSTEMS CAPABILITIES AND PERFORMANCE OF SHIP BUILDING INDUSTRY IN KENYA
Abstract
The study investigated the capabilities of management information systems and the performance of ship building industry in Kenya. The study employed a quantitative approach by use of questionnaires to collect data on the variables. The reliability of the data collection instrument was measured using Cronbach’s Alpha and the pilot test was carried out at Kenya Shipyards Limited. The study established that Centralized Database significantly influence Performance of Ship Building Industry (β=0.253; p=0.010). Furthermore, it was found that Service Delivery significantly improves Performance of Ship Building Industry (β=0.174; p=0.045). Moreover, it was observed that Information Security significantly impacted Performance of Ship Building Industry (β=0.248; p=0.008). Finally, it was revealed that Digital Infrastructure significantly impacts performance of Ship Building Industry (β=0.345; p=0.000). The study concludes that since a centralized database provides accurate and timely access to data from every division, it is considered essential for managing the operations of the company. Secondly, a company's ability to stay relevant depends on having efficient corporate information systems in place. That is why one of the most important measures of a company's efficacy is how fast it can fix everyday issues. Thirdly, businesses must put in place a variety of information security measures and create strategies to guard their data from threats if they hope to stay competitive. Finally, an ICT infrastructure is necessary for a business to operate efficiently. Thus, when information technology infrastructure is not properly deployed in the company, it may hinder business operations. The study recommended that a system audit be conducted on a regular basis to verify that the company's data management system is configured and operating as intended to support management goals. It is suggested that businesses spend more on cyber security in order to stay competitive, as organizations with strong network security systems are believed to be less vulnerable to data theft and sabotage. Finally, businesses gain from e-business because it gives them the opportunity to access clients at a fair price and without being restricted by geographic location. Establishing contemporary e-business protocols in this area can help businesses perform better as an organization.
Key Words: Management Information Systems, Marine Vessels, Trade Volume, Digital Infrastructure
CITATION: Tsalwa, L. A., & Kyalo, J. (2024). Management information systems capabilities and performance of ship building industry in Kenya. The Strategic Journal of Business & Change Management, 11 (2), 350 – 368. http://dx.doi.org/10.61426/sjbcm.v11i2.2914
Full Text:
PDFReferences
Barney, J. B., Ketchen, D. J., & Wright, M. (2011). The Future of Resource-Based Theory: Revitalization or Decline? Journal of Management, 37(5), 1299–1315. https://doi.org/10.1177/0149206310391805
Barney, J., Wright, M., & Ketchen, D. J. (2001). The resource-based view of the firm: Ten years after 1991. Journal of Management, 27(6), 625–641. https://doi.org/10.1177/014920630102700601
Chaudhuri, A., Subramanian, N., & Dora, M. (2022). Circular economy and digital capabilities of SMEs for providing value to customers: Combined resource-based view and ambidexterity perspective. Journal of Business Research, 142, 32–44. https://doi.org/10.1016/j.jbusres.2021.12.039
Dandan, H., Yajuan, Z., Junfeng, L., Chen, L., Mo, X., & Zhihai, S. (2017). Research on Centralized Data-Sharing Model Based on Master Data Management. MATEC Web of Conferences, 139, 00195. https://doi.org/10.1051/matecconf/201713900195
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319.
https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748.
Furrer, O., Krug, J. A., Sudharshan, D., & Thomas, H. (2004). Resource-based theory and its link to the global strategy, structure, and performance relationship: An integrative framework. International Journal of Management and Decision Making, 5(2/3), 99. https://doi.org/10.1504/IJMDM.2004.005343
Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864
Heredia, J., Castillo-Vergara, M., Geldes, C., Carbajal Gamarra, F. M., Flores, A., & Heredia, W. (2022). How do digital capabilities affect firm performance? The mediating role of technological capabilities in the “new normal.” Journal of Innovation & Knowledge, 7(2), 100171. https://doi.org/10.1016/j.jik.2022.100171
Hill, D., Becker, A., & Vieira, A. (2022). The U.S. shipbuilding and repair industry’s considerations of coastal hazards resilience—A baseline survey. Maritime Policy & Management, 1–22. https://doi.org/10.1080/03088839.2022.2138597
Hong, W., & Zhu, K. (2006). Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level. Information & Management, 43(2), 204–221. https://doi.org/10.1016/j.im.2005.06.003
Hossain, K. A., & Zakaria, N. M. G. (2017). A Study on Global Shipbuilding Growth, Trend and Future Forecast. Procedia Engineering, 194, 247–253. https://doi.org/10.1016/j.proeng.2017.08.142
Ismail, O., Misra, S., Oluranti, J., & Ahuja, R. (2021). Centralized Blood Bank Database and Management System. In P. K. Singh, Y. Singh, M. H. Kolekar, A. K. Kar, J.
Khin, S., & Ho, T. C. (2019). Digital technology, digital capability and organizational performance: A mediating role of digital innovation. International Journal of Innovation Science, 11(2), 177–195. https://doi.org/10.1108/IJIS-08-2018-0083
Lutfi, A., Alshira’h, A. F., Alshirah, M. H., Al-Okaily, M., Alqudah, H., Saad, M., Ibrahim, N., & Abdelmaksoud, O. (2022). Antecedents and Impacts of Enterprise Resource Planning System Adoption among Jordanian SMEs. Sustainability, 14(6), 3508. https://doi.org/10.3390/su14063508
Ma, Q., & Liu, L. (2005). The Technology Acceptance Model: A Meta-Analysis of Empirical Findings. In M. A. Mahmood (Ed.), Advances in End User Computing (pp. 112–128). IGI Global. https://doi.org/10.4018/978-1-59140-474-3.ch006
Madhani, P. M. (2010). The Resource—Based View (RBV): Issues and Perspectives.
Magsamen‐Conrad, K., Billotte Verhoff, C. C., & Dillon, J. M. (2022). Technology Acceptance Models. In E. Y. Ho, C. L. Bylund, & J. C. M. Van Weert (Eds.), The International Encyclopedia of Health Communication (1st ed., pp. 1–8). Wiley. https://doi.org/10.1002/9781119678816.iehc0776
Martínez Bravo, M. C., Sádaba Chalezquer, C., & Serrano-Puche, J. (2021). Meta- framework of digital literacy: A comparative analysis of 21st-century skills frameworks. Revista Latina de Comunicación Social, 79, 76–110. https://doi.org/10.4185/RLCS-2021-1508
Mlimbila, J., & Mbamba, U. O. L. (2018). The role of information systems usage in enhancing port logistics performance: Evidence from the Dar Es Salaam port, Tanzania. Journal of Shipping and Trade, 3(1), 10. https://doi.org/10.1186/s41072- 018-0036-z
Ndubuisi, G., Otioma, C., & Tetteh, G. K. (2021). Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries. Telecommunications Policy, 45(8), 102153. https://doi.org/10.1016/j.telpol.2021.102153
Ngatoro, M. (2018). THE VALUE OF A SCHOOL BASED DIGITAL LEARNING FRAMEWORK: DOES IT OFFER THE SUPPORT AND GUIDANCE NEEDED FOR TEACHERS OF VARYING DIGITAL CAPABILITIES?
Nguyen, T. D., Nguyen, T. M., & Cao, T. H. (2015). Information Systems Success: A Literature Review. In T. K.
Odira, O. C. (2021). Effect of Management Information System on Organizational Performance in Manufacturing Firms. 1(10).
Oketch, C., & Muathe, S. (2022). What do strategic responses achieve? An analysis of performance of telecommunication firms in Kenya. International Journal of Research in Business and Social Science (2147- 4478), 11(2), 104–118. https://doi.org/10.20525/ijrbs.v11i2.1591
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
T. Burns, G. M. S. (1962). T. Burns and G.M. Stalker, The Management of Innovation.
Urbach, N., & Müller, B. (2012). The Updated DeLone and McLean Model of Information Systems Success. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (Eds.), Information Systems Theory (Vol. 28, pp. 1–18). Springer New York. https://doi.org/10.1007/978-1-4419-6108-2_1
Vasudevan, H., Nilai, P., & Perdana, P. (2021). RESOURCE-BASED VIEW THEORY APPLICATION ON THE EDUCATIONAL SERVICE QUALITY. International
Journal of Engineering Applied Sciences and Technology, 6(6), 174–186. https://doi.org/10.33564/IJEAST.2021.v06i06.026
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315.
Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018). An integrated big data analytics-enabled transformation model: Application to health care. Information & Management, 55(1), 64–79. https://doi.org/10.1016/j.im.2017.04.001
Zhen, Z., Yousaf, Z., Radulescu, M., & Yasir, M. (2021). Nexus of Digital Organizational Culture, Capabilities, Organizational Readiness, and Innovation: Investigation of SMEs Operating in the Digital Economy. Sustainability, 13(2), 720. https://doi.org/10.3390/su13020720
Otioma, C. (2022). IT Capability, Organisational Learning and Innovation Performance of Firms in Kenya. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-021-00886-8
Owino, V., & Waema, T. (2020). Digital Transformation as A Source of Competitiveness among Small and Medium Enterprises in Nairobi City County, Kenya.
Purkar, S., Jaiswal, D. R. C., & Munot, D. M. V. (2023). The Role of Management Information Systems in Organizations. 9(9).
Ramanathan, R., Philpott, E., Duan, Y., & Cao, G. (2017). Adoption of business analytics and impact on performance: A qualitative study in retail. Production Planning & Control, 28(11–12), 985–998. https://doi.org/10.1080/09537287.2017.1336800
Saputra, N., Sasanti, N., Alamsjah, F., & Sadeli, F. (2022). Strategic role of digital capability on business agility during COVID-19 era. Procedia Computer Science, 197, 326–335. https://doi.org/10.1016/j.procs.2021.12.1
DOI: http://dx.doi.org/10.61426/sjbcm.v11i2.2914
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.
PAST ISSUES:
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.