Unlocking User Acceptance in Mobile Business Intelligence: Factors Shaping the Transition in the Digital Era

Harshvardhan Singh Chauhan and Rashmi Pandey

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 6, 118-121

Abstract: The proliferation of mobile devices and global smartphone sales has ushered in a new era of Business Intelligence (BI) through mobile applications. This article explores the factors influencing user acceptance of mobile business intelligence (MBI) and presents a comprehensive examination of these determinants. A conceptual model is constructed, and quantitative data is collected from various MBI users, making rigorous analysis possible using SPSS software. The study addresses the paradox of modest user acceptance rates in MBI despite the growing demand for instant data access, supplying valuable insights for practitioners and organizations.

Keywords: Mobile Business Intelligence (MBI); User Acceptance; Information Quality; System Quality; Organizational Climate; Mobile Technology; Data Access; Data Governance; Data Privacy; Decision-Making (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT239064
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit239064

DOI: 10.32628/CSEIT239064

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