The Effect of Deployment of Advanced Manufacturing Technology on Performance: Evidence from Large Manufacturing Firms in Kenya
Keywords:
Advanced Manufacturing Technology, Organizational Performance, Emerging Markets, Large Manufacturing Companies, KenyaAbstract
Global manufacturing is increasingly competitive and technology-driven, prompting firms to adopt Advanced Manufacturing Technology (AMT) to sustain performance. However, empirical evidence from emerging economies—especially sub-Saharan Africa—remains scarce. This study examines the effect of AMT deployment on the performance of large manufacturing companies (>100 employees) in Kenya via a descriptive cross-sectional survey. Primary data, collected through structured questionnaires from 125 firms, were analyzed using simple linear regression. Results indicate a statistically significant, moderately strong positive relationship between AMT deployment and organizational performance (F=19.62, p<0.05; r=0.565), with AMT explaining 31.9% of performance variation (r2 =0.319). This suggests that while AMT is an important factor in the relationship between AMT and performance of large manufacturing firms in Kenya, other organizational and external factors account for the majority of the observed variance in performance. Strategic AMT investment, coupled with effective implementation and complementary organizational capabilities, is vital for maximizing benefits. These recommendations are valuable for managers, policymakers, and researchers aiming to leverage AMT for industrial performance in emerging markets.
References
Achieng, M. E. (2023). The moderating role of quality function deployment on enhancing the effect of advanced manufacturing technology on performance of manufacturing companies in Kenya. African Journal of Emerging Issues, 5(2), 45-60.
Achieng, E. M., (2021). Advanced manufacturing technology as a strategy in enhancing performance of large manufacturing companies in Kenya. http://erepository.uonbi.ac.ke/handle/11295/157057
Altuntas, S., Cinar, O. & Kaynak, S. (2018). Relationships among advanced manufacturing technology, innovation, export, and firm performance: Empirical evidence from Turkish manufacturing companies. Kybernetes, https://doi.org/10.1108/K-10-2017-0380
Baya, O. P., (2023). Budgeting, risk planning, internal control and financial performance of Kenyan manufacturing firms. African Journal of Commercial Studies, 3(3), 181-
190. https://doi.org/10.59413/
Bloom, N., Charles, I. J., John, V., & Michael, W., (2020). Are Ideas Getting harder to Find? American
Economic Review 110(4), 1104–44.
Bourke, J., & Roper, S., (2016). AMT adoption and innovation: An investigation of dynamic and complementary effects. Technovation. https://doi.org/10.1016/j.technovation.2016.05.003. https://www.sciencedirect.com/science/article/pii/S0166497216300463)
Bouschery, S. G., Blazevic, V., & Piller, F. T., (2023). Augmenting human innovation teams with artificial intelligence: Exploring transformer-based language models. Journal of Product Innovation Management. https://doi.org/10.1111/jpim
Brynjolfsson, E., Daniel, R., & Chad, S., (2019). Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. In the Economics of Artificial Intelligence, edited by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. Chicago: University of Chicago Press.
Boyer, K. K., Leong, G.K., Ward, P.T., & Krajewski, L.J., (1997). Unlocking the potential of advanced manufacturing technologies. Journal of Operations Management 15 (4), 331–347. https://doi.org/10.1016/S0272-6963(97)00009-0
Chen, L., Bi, G., Yao, X., Su, J., Tan, C., Feng, W., Benakis, M., Chew, Y., & Moon, S. K. (2024). In- situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review. Journal of manufacturing Systems. https://doi.org/10.1016/j.jmsy.2024.04.013
Chen, L., Yao, X., Liu, K., Tan, C., & Moon, S. K. (2023). Multisensor fusion-based digital twin in additive manufacturing for in-situ quality monitoring and defect correction. Cambridge University Press. DOI: https://doi.org/10.1017/pds.2023.276
Deloitte. (2025). 2025 Manufacturing Industry Outlook. Retrieved from https://www2.deloitte.com/us/en/insights/industry/manufacturing/manufacturing-industry- outlook.html
Dongming, G., (2024). High-performance manufacturing. International Journal of Extreme
Manufacturing. DOI 10.1088/2631-7990/ad7426
Fofana, S. B., Nyarko, F. K. A., & Takyi, G. (2021). Flexible manufacturing systems in Africa: A review.
Nigerian Journal of Technology, 40(3), 495–504.
García-Sánchez, E., García-Morales, V. J., & Martín-Rojas, R. (2018). Influence of technological assets on organizational performance through absorptive capacity, organizational innovation and internal labour flexibility. Sustainability, 10(3), 770. https://doi.org/10.3390/su10030770
Gunawardana, K. D., (2006). Introduction of advanced manufacturing technology: a literature review.
Sabaragamuwa University Journal 6(1), 116–134.
Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C., (2021). A survey on ai-driven digital twins in industry
4.0: smart manufacturing and advanced robotics. Sensors. https://doi.org/10.3390/s21196340
Ikubanni, P. I., Adeleke, A. A., Agboola, O. A., Christopher, C. T., Ademola, B. S., Okonkwo, J., Adesina, O. S., Omoniyi, P.O., Akinlabi, E. T., (2022). Present and future impacts of computer-aided design/ computer-aided manufacturing (CAD/CAM). Journal Europeen des Systemes Automatises, 55(3), 349-357. https://doi.org/10.18280/jesa.550307
Iztok, P., & Prester, J., (2020). Impact of advanced manufacturing technologies on green innovation.
sustainability https://doi:10.3390/su12093499
Kenya Association of Manufacturers (KAM). (2024). Manufacturing priority agenda 2024. Nairobi: KAM Publications.
Kenya Association of Manufacturers (KAM). (2022). Manufacturing 2022-2027 Manifesto. Nairobi: KAM Publications
Koc, T., & Bozdag, E., (2009). The impact of AMT practices on firm performance in manufacturing SMEs. Robotics and Computer-Integrated Manufacturing, https://doi.org/10.1016/j.rcim.2007.12.004.
Kotha, S., & Swamidass, P. M., (2000). Strategy, advanced manufacturing technology and performance: empirical evidence from U.S. manufacturing firms. Journal of Operations Management https://doi.org/10.1016/S0272-6963(99)00025-X
Mahboob, B., Taher, A., Islam, K., & Hasib, A., (2024). The impact of advanced robotics and automation on supply chain efficiency in industrial manufacturing: a comparative analysis between the US and Bangladesh. Global Mainstream Journal of Business, Economics, Development & Project Management, 3(3), 28-41.
Mboga, A. K., Datche, E., & Kising’u, T. M. (2023). Innovation capabilities and performance of manufacturing firms in Nairobi City County, Kenya. The Strategic Journal of Business & Change Management, 10(2), 791–814.
Mirmahdi, D., & Wan Khairuzzaman, W., (2012). Advanced manufacturing technology adoption in SMEs: an integrative model. Journal of Technology Management & Innovation. http://www.jotmi.org
Murphy, K., & Davidshofer, C. O., (2001). Psychological testing: Principles and applications (2nd ed.).
ResearchGate
Musebe, E. A., Awino, Z. B., Peter, K., & Kitiabi, R. (2020). Advanced manufacturing technology, competitive advantage and performance of large manufacturing companies in Kenya. DBA Africa Management Review, 10(1), 25-40.
Musebe, E. A. (2024). Adoption of advanced manufacturing technology by SMES in Kenya: effect on performance and policy implications. The University Journal, 6(2), 94–108. https://doi.org/10.59952/tuj.v6i2.347
Musebe, E. A. (2023). Exploring the synergy of advanced manufacturing technology, competitive advantage, and organizational resources on performance: A study of large manufacturing companies in Kenya. African Journal of Engineering and Training, 8(1), 15-30.
Prester, J., Buchmeister, B., & Palčič, I. (2018). Effects of advanced manufacturing technologies on manufacturing company performance. Journal of Mechanical Engineering, 64(12), 763–771.
Pozzi, R., Rossi, T., & Secchi, R. (2021). Industry 4.0 technologies: critical success factors for implementation and improvements in manufacturing companies. Production Planning & Control, 34(2), 139–158. https://doi.org/10.1080/09537287.2021.1891481
Rahman, A. A., Bennett, D., & Sohal, A., (2008). Transaction attributes and buyer-supplier relationships in AMT acquisition and implementation: The case of Malaysia International Journal of Production Research https://doi.org/10.1080/00207540802471298
Singh, R.K. & Gurtu, A. (2022). Embracing advanced manufacturing technologies for performance improvement: an empirical study. Benchmarking: An International Journal, 29 (6), 1979-
1998. https://doi.org/10.1108/BIJ-02-2021-0110
Shokrani, A., & Biermann, D., (2020). Advanced manufacturing and machining processes. Journal of
Manufacturing and Material Processing doi:10.3390/jmmp4040102
Small, M.H. (1999). Assessing manufacturing performance: an advanced manufacturing technology portfolio perspective. Industrial Management & Data Systems, 99 (6), 266-278. https://doi.org/10.1108/02635579910289202
Stolterman, E., (2008). The nature of design practice and implications for interaction design research.
International Journal of Design, 2(1), 55-65.
Stornelli, A., Ozcan, S., Simms, C., (2021). Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types. Research Policy. https://doi.org/10.1016/j.respol.2021.104229
Swink, M., & Nair, A. (2007). Capturing the competitive advantages of AMT: Design–manufacturing integration as a complementary asset. Journal of Operations Management, 25(3), 736-754.
United Nations Industrial Development Organization [UNIDO], (2016). The importance of manufacturing in economic development: has this changed? Inclusive and Sustainable Industrial Development Working Paper Series WP 1 | 2016: UNIDO Publications
Wall, T. D., Corbett, J. M., Martin, R., Clegg, C. W., & Jackson, P. R. (1999). Advanced manufacturing technology, work design, and performance: A change study. Journal of Applied Psychology,
75(6), 691–697. https://doi.org/10.1037/0021-9010.75.6.691
Wong, C. Y., & Ngai, E. W. T. (2023). Advanced manufacturing technologies, strategic agility, business model innovation, and firm performance: A dynamic capabilities perspective. Humanities and Social Sciences Communications, 10(1), 1-10. https://www.nature.com/articles/s41599-025-
04671-9
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