ABSTRACT
This systematic review delves into the multifaceted role of technology in revolutionizing operations management, with a specific emphasis on driving operational efficiency and enhancing customer satisfaction. Through a meticulous analysis of an extensive body of literature, this review synthesizes key findings and trends pertaining to the adoption, integration, and impact of technology in operations management. The review begins by elucidating the theoretical frameworks that underpin technology adoption, such as the technology acceptance model and innovation diffusion theory. It explores how these frameworks provide valuable insights into the factors influencing the adoption and utilization of technology in operational contexts. Moreover, the review underscores the importance of personalized and customized experiences, facilitated by technology, in driving customer satisfaction. It explores how organizations leverage technology to tailor products, services, and communication channels to individual customer preferences, fostering deeper engagement and loyalty. Additionally, the review delves into the concept of Omni-channel experiences and the seamless integration of technology across multiple touch points. It discusses how organizations can leverage technology to create cohesive and consistent customer experiences, irrespective of the channel or device used. Practical implications for practitioners are also outlined, emphasizing the critical importance of investing in robust technology infrastructure, fostering a culture of innovation, and prioritizing customer-centric strategies. Valuable insights for practitioners, researchers, and policymakers alike, providing a comprehensive understanding of the transformative role of technology in operations management. By leveraging technology strategically, organizations can achieve operational excellence, enhance customer satisfaction, and gain a competitive edge in today’s dynamic business landscape.
References
- [1] Abrahams, T.O., Farayola, O.A., Kaggwa, S., Uwaoma, P.U., Hassan, A.O. and Dawodu, S.O., 2024. Reviewing Third-Party Risk Management: Best Practices In Accounting And Cybersecurity For Superannuation Organizations. Finance & Accounting Research Journal, 6(1), pp.21-39.
- [2] Adekanmbi, A.O., Ninduwezuor-Ehiobu, N., Izuka, U., Abatan, A., Ani, E.C. and Obaigbena, A., 2024. Assessing the environmental health and safety risks of solar energy production. World Journal of Biology Pharmacy and Health Sciences, 17(2), pp.225-231.
- [3] Adeleke, A.K., Montero, D.J.P., Olajiga, O.K., Ani, E.C. and Olu-lawal, K.A., 2024. Evaluating the impact of precision engineering education on industry standards and practices. International Journal of Science and Research Archive, 11(1), pp.2336-2345.
- [4] Aderibigbe, A.O., Ani, E.C., Ohenhen, P.E., Ohalete, N.C. and Daraojimba, D.O., 2023. Enhancing energy efficiency with ai: a review of machine learning models in electricity demand forecasting. Engineering Science & Technology Journal, 4(6), pp.341-356.
- [5] Ahmad, I.A.I., Anyanwu, A.C., Onwusinkwue, S., Dawodu, S.O., Akagha, O.V. and Ejairu, E., 2024. Cybersecurity Challenges In Smart Cities: A Case Review Of African Metropolises. Computer Science & IT Research Journal, 5(2), pp.254-269.
- [6] Ahmed, I. and Fernandez, D., 2023. The Role Of Big Data Analytics In Obtaining Competitive Insights. Competitive Research Journal Archive, 1(03), pp.148-159.
- [7] Albeshr, A.M., 2023. A smart chatbot system for digitizing service management to improve business continuity.
- [8] Aljohani, A., 2023. Predictive analytics and machine learning for real-time supply chain risk mitigation and agility. Sustainability, 15(20), p.15088.
- [9] Allioui, H. and Mourdi, Y., 2023. Unleashing the potential of AI: Investigating cutting-edge technologies that are transforming businesses. International Journal of Computer Engineering and Data Science (IJCEDS), 3(2), pp.1-12.
- Al-Maroof, R.S., Salloum, S.A., Hassanien, A.E. and Shaalan, K., 2023. Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 31(3), pp.1293-1308.
- Amah, O.E. and Ogah, M., 2023. Post-COVID Operational Excellence: Behavioural Operations Management. In Leadership and Organisational Effectiveness Post-COVID-19: Exploring the New Normal(pp. 171-191). Cham: Springer International Publishing.
- Arslan, I.K., 2020. The importance of creating customer loyalty in achieving sustainable competitive advantage. Eurasian Journal of Business and Management, 8(1), pp.11-20.
- Awawdeh, A.E., Ananzeh, M., El-khateeb, A.I. and Aljumah, A., 2021. Role of green financing and corporate social responsibility (CSR) in technological innovation and corporate environmental performance: a COVID-19 perspective. China Finance Review International, 12(2), pp.297-316.
- Azeem, M., Ahmed, M., Haider, S. and Sajjad, M., 2021. Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation. Technology in Society, 66, p.101635.
- Baashar, Y., Alhussian, H., Patel, A., Alkawsi, G., Alzahrani, A.I., Alfarraj, O. and Hayder, G., 2020. Customer relationship management systems (CRMS) in the healthcare environment: A systematic literature review. Computer Standards & Interfaces, 71, p.103442.
- Buus, N. and Perron, A., 2020. The quality of quality criteria: Replicating the development of the Consolidated Criteria for Reporting Qualitative Research (COREQ). International journal of nursing studies, 102, p.103452.
- Cao, G., Duan, Y., Edwards, J.S. and Dwivedi, Y.K., 2021. Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, p.102312.
- Dev, N.K., Shankar, R. and Qaiser, F.H., 2020. Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, 153, p.104583.
- Ding, B., Ferras Hernandez, X. and Agell Jane, N., 2023. Combining lean and agile manufacturing competitive advantages through Industry 4.0 technologies: an integrative approach. Production planning & control, 34(5), pp.442-458.
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