期刊名称:International Journal of Business and Management
印刷版ISSN:1833-3850
电子版ISSN:1833-8119
出版年度:2021
卷号:16
期号:8
页码:1
DOI:10.5539/ijbm.v16n8p1
出版社:Canadian Center of Science and Education
摘要:The paper aims to perform an assessment of the literature at the intersection of data and business models, examining the extent to which the data-driven business model (DDBM) is considered in the current literature and how it is characterised in terms of approaches, benefits and barriers. A systematic literature review (SRL) of the available body of knowledge on these topics was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. The SRL reveals limited but rapidly growing coverage of the cutting-edge phenomenon on the part of scientific studies. In problematising the extant literature, competitive, cultural and strategic approaches are proposed together with the relative enablers fostering the adoption of each approach. Benefits and barriers to the implementation of a DDBM are also discussed across technical, organisational and financial dimensions. The insights derived from a critical review of the DDBM literature point out gaps, which may itself inform future research and theory development in this area, as well as support practitioners’ decision-making on the datatisation of business models.
关键词:data-drive business model (DDBM); approaches; benefits and barriers; systematic literature review (SRL); research agenda