The Path of Data-Driven Impact on Business Model Building and Innovation in Manufacturing Enterprises

Guanghua Ren ()
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Guanghua Ren: Lyceum of the Philippines University

A chapter in Selected Papers from the 10th International Conference on E-Business and Applications 2024, 2024, pp 95-107 from Springer

Abstract: Abstract With the continuous development of digital economy, data-driven as an effective means to link data technology and enterprise management, more and more enterprises pay attention to. However, in order to truly realize the business of data, business data, and give full play to the value of data-driven technology, most enterprises can only be data-driven at the individual business level. How to systematize data-driven technology? Form a closed loop of business operation under data-driven technology? It is an urgent problem to be solved in current research and business practice. Based on the thinking of strategic operations management, this study proposes to take strategic operations management as a data-driven orientation and incorporate the data-driven business scope into the scope of business models. The empirical research is conducted on representative manufacturing enterprises. We explored and validated Data-driven (DD), budget environment (BE), human resource innovation capability (HRIC), operational data quality (ODQ), product and service design (PSD), and business model building The correlation, mediating and moderating relationships between innovation (BMBI) construct a logical relationship between data-driven, business model building and innovation. On that basis, the “Strategic operation management orientation + enabling business model + data closed loop” data-driven mechanism is proposed. It is helpful to improve the quality of enterprise data-driven, and has practical significance and research value.

Keywords: Data-driven; Business Model Construction and Innovation; Path; Manufacturing Enterprise (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-3409-2_9

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DOI: 10.1007/978-981-97-3409-2_9

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