Advancements in technology over the years continue to grow at a rapid stride. The use of technology in operations management has ensured that organizations can cut costs, standardize products, progress the delivery process, and advance quality and emphasis on customization, creating a desirable value for consumers (Tönnissen, & Teuteberg, 2020). It has likewise led to a rise in productivity as managers strive to increase sales and profits. Time has changed technology as it continues to evolve, moving from the development of products into an enterprise, sustainable management, and improving the operation systems and strategies.
Technology promotes creativity and innovation but also poses a challenge to the data security of an organization. Data security concerns continue to threaten firms' existence as the way consumers and businesses handle it is of substantial concern in modern society (Gölzer, & Fritzsche, 2017). Social media-related liabilities are also another challenge to the organization as it can damage the reputation and the public image. Organizations should be socially responsible to their clients and ensure that their technology level matches the market needs (Gupta et al., 2019). Artificial intelligence and the internet of things continue to change rapidly; thus, the top management should always hire an information technologist who is well versed in the field.
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Operational management should always ensure it leverages and exploits technology trends to prevent them from decline or even a sudden collapse. The government should also be able to safeguard consumers and businesses from cybercrimes that have become rampant. Organizations should engage their workforce in regular training to equip their employees with the latest dynamic in technology. The acquisition, integration, and verification of technology that suites should a firm should be planned effectively, monitored, and evaluated at the highest level in that firm.
References
Gölzer, P., & Fritzsche, A. (2017). Data-driven operations management: Organisational implications of the digital transformation in industrial practice. Production Planning & Control , 28 (16), 1332-1343. https://doi.org/10.1080/09537287.2017.1375148
Gupta, M., Pandey, J., Gaur, J., & Vohra, N. (2019). Preface to research on role of technology in workforce management. Australasian Journal of Information Systems , 23 . https://doi.org/10.3127/ajis.v23i0.2185
Tönnissen, S., & Teuteberg, F. (2020). Analysing the impact of blockchain-technology for operations and supply chain management: An explanatory model drawn from multiple case studies. International Journal of Information Management , 52 , 101953. https://doi.org/10.1016/j.ijinfomgt.2019.05.009
