The Impact of Data Analytics Adoption on Job Roles and Skill Requirements in MSMEs: Development of Conceptual Model
DOI:
https://doi.org/10.55227/ijhess.v4i3.1313Keywords:
Data Analytics Adoption, MSMEs, Job Roles, Skill Requirements, Data-Driven Decision-Making, Technical Skills, Data Literacy, Organizational AdaptationAbstract
The adoption of data analytics by Micro, Small, and Medium Enterprises (MSMEs) has become critical for enhancing decision-making processes, improving operational efficiency, and remaining competitive in the digital economy. This study explores the impact of data analytics adoption on job roles and skill requirements within MSMEs. Specifically, it examines how traditional roles like marketing, finance, and operations are transforming to include data-driven decision-making responsibilities. The study highlights emerging roles such as data analysts and business intelligence specialists, as well as the increasing demand for technical skills like data literacy, programming, and machine learning. However, MSMEs face challenges in adopting data analytics, including resource constraints, skill gaps, and cultural resistance. To address these issues, this study employs a qualitative method approach, primarily explorative study. The research develops a conceptual model that outlines the interplay between data analytics adoption, job role transformation, skill development, and organizational adaptation. This model provides insights into how MSMEs can strategically manage the transition to a data-driven culture, overcoming key barriers to successfully integrating analytics into their operations
References
Behl, S., Kumar, P., & Singh, R. (2022). Data analytics and innovative activities in small and medium-sized enterprises: A systematic review. International Journal of Innovation Management, 26(1), 1-23. https://www.researchgate.net/publication/359662655_Data_Analytics_in_Small_and_Medium_Enterprises_SME_A_Systematic_Review_and_Future_Research_Directions
Chen, J., Wang, Y., & Yang, Y. (2022). Data analytics for financial planning in small and medium-sized enterprises: A systematic review. International Journal of Accounting Information Systems, 48, 101319. https://www.sciencedirect.com/science/article/pii/S146708952100049X
Choi, T. Y., Wallace, R., & Wang, H. (2018). Business intelligence in small enterprises: Adoption and impact. Journal of Small Business Management, 56(1), 35-52.
European Commission. (2023). Data analytics in small and medium-sized enterprises: A European perspective. https://ieeexplore.ieee.org/document/10237151
Henderson, J. C., & Venkatraman, N. (2019). The role of data analytics in the transformation of finance functions in small and medium-sized enterprises. International Journal of Accounting Information Systems, 34(1), 33-54. https://www.linkedin.com/pulse/data-analytics-finance-sector-catalyst-transformation-mngonyama-ek4ef
Hsieh, C.-H., & Chao, K.-H. (2020). The role of data analytics in small and medium-sized enterprises: A case study. Journal of Small Business Management, 58(2), 247-264. https://www.researchgate.net/publication/359662655_Data_Analytics_in_Small_and_Medium_Enterprises_SME_A_Systematic_Review_and_Future_Research_Directions
International Labour Organization. (2021). Data analytics for the future of work in small and medium-sized enterprises. https://www.ilo.org/data-and-statistics
Kamal, M., Haque, M. A., & Islam, M. S. (2019). The impact of data analytics on operational efficiency in small and medium-sized enterprises. International Journal of Production Economics, 214, 130-141. https://www.sciencedirect.com/science/article/abs/pii/S146708952100049X
Maroufkhani, S., Mohammadi, M., & Zare, M. (2020). Data analytics adoption in small and medium-sized enterprises: A systematic review. International Journal of Information Management, 55, 102339. https://www.sciencedirect.com/science/article/abs/pii/S0160791X22001075
McKinsey & Company. (2021). Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain them, and 19 times more likely to be profitable. https://www.dataideology.com/data/data-driven-organizations-are-23-times-more-likely-to-acquire-customers-six-times-as-likely-to-retain-customers-and-19-times-as-likely-to-be-profitable-as-a-result/
Muller, T., & Jensen, J. (2020). The rise of the citizen data scientist in small and medium-sized enterprises. Information Systems Research, 31(2), 377-396. https://www.sciencedirect.com/science/article/pii/S1877050921001241
Pandya, A., & Kumar, M. (2023). Data analytics for sustainability reporting in small and medium-sized enterprises: A systematic review. International Journal of Sustainable Development & World Ecology, 30(1), 43-64. https://journals.researchsynergypress.com/index.php/ijeass/article/view/822
Schoenherr, T., & Speier-Pero, S. (2015). The impact of big data on operations management in small and medium-sized enterprises. International Journal of Production Economics, 168, 272-284. https://www.sciencedirect.com/science/article/abs/pii/S0360835222001280
Singh, R., Kumar, P., & Behl, S. (2020). Data analytics for customer segmentation in small and medium-sized enterprises: A systematic review. International Journal of Marketing Research, 32(3), 399-420. https://www.emerald.com/insight/publication/doi/10.1108/9781800438767
Sivarajah, U., Huang, M.-H., & Irani, Z. (2017). Big data and analytics in the context of small businesses: A systematic review. International Journal of Information Management, 37(2), 237-251. https://www.sciencedirect.com/science/article/pii/S1877050917322184
Syah, N., & Noviaristanti, A. R. (2022). The adoption of data analytics by small and medium-sized enterprises in developing countries: A systematic review. International Journal of Information Management, 65, 102636. https://www.sciencedirect.com/science/article/abs/pii/S0160791X22001075
Vásquez, V., García-Sánchez, J. L., & García-Sánchez, M. A. (2021). Data analytics for sustainability in small and medium-sized enterprises: A systematic review. Journal of Cleaner Production, 291, 125994. https://www.researchgate.net/publication/360968026_Sustainability_in_Small_and_Medium-Sized_Enterprises_A_Systematic_Literature_Review_and_Future_Research_Agenda
Wamba, S. F., Akter, S., & Maghimbi, F. (2015). The impact of big data on marketing decision making in small and medium-sized enterprises. Industrial Management & Data Systems, 115(7), 1189-1210. https://www.sciencedirect.com/science/article/pii/S0148296323005842
World Bank. (2023). The role of data analytics in promoting sustainable development in small and medium-sized enterprises. https://thebftonline.com/2024/03/07/the-crucial-role-of-data-analytics-in-sustainable-business-transformation/
Zheng, X., Liu, Z., & Zhang, X. (2022). The impact of data analytics on the competitive advantage of small and medium-sized enterprises. International Journal of Production Economics, 253, 117320. https://www.sciencedirect.com/science/article/pii/S0148296323005842
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