Toward the role of organizational culture in data-driven digital transformation

被引:10
|
作者
Ghafoori, Arman [1 ]
Gupta, Manjul [1 ]
Merhi, Mohammad I. [2 ]
Gupta, Samrat [3 ]
Shore, Adam P. [4 ]
机构
[1] Florida Int Univ, Informat Syst & Business Analyt, 11200 SW 8th St,RB 209 A, Miami, FL 33199 USA
[2] Indiana Univ, Judd Leighton Sch Business & Econ, Dept Decis Sci, South Bend, IN USA
[3] Indian Inst Management Ahmedabad, Informat Syst Area, Ahmadabad, India
[4] Liverpool Business Sch, Redmonds Bldg,Brownlow Hill, Liverpool L3 5UG, England
关键词
Data -driven digital transformation; Organizational culture; Operational performance; Hofstede; Competing values model; Manufacturing culture; Data analytics; BIG DATA ANALYTICS; DYNAMIC CAPABILITIES; VALUE CREATION; OPERATIONAL PERFORMANCE; MANAGEMENT; IMPACT; TECHNOLOGIES; UNPACKING; BARRIERS; MODEL;
D O I
10.1016/j.ijpe.2024.109205
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Data-driven digital transformation is increasingly recognized as a crucial element of unlocking new business value, leveraging data-driven approaches in organizational business strategies and operations. Concurrently, organizational culture emerges as a critical factor in the organizational transformation process and success. However, current literature offers sparse insights into how organizational culture affects data-driven digital transformation. To gain deeper insights, this study leverages two complementary organizational culture frameworks to examine their relationship with data-driven digital transformation. Moreover, we investigate the link between data-driven digital transformation and operational performance in a manufacturing context. Utilizing data from 317 surveys, our findings show that organizational culture significantly affects data-driven digital transformation, which consequently impacts operational performance. This study advances understanding of the critical role of organizational culture in facilitating data-driven digital transformation, addressing a previously underexplored area in Operations and Supply Chain Management literature. By employing a dualframework approach, it provides a more nuanced comprehension of organizational culture's impact on datadriven digital transformation while clarifying the complex relationship between digital transformation and operational performance within the manufacturing sector. Our study also delivers significant practical contributions, guiding organizations in effectively implementing and benefiting from data-driven digital transformation initiatives.
引用
收藏
页数:14
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