 How can organizations leverage big data to innovate their business models? A systematic literature reviewChiara Acciarini, Francesco Cappa, Paolo Boccardelli and Raffaele Oriani Technovation, 2023, vol. 123, issue C Abstract: The use of big data has garnered increasing importance in academic research and managerial practice thanks to the benefits it can produce in terms of innovation. However, big data also has drawbacks that have been overlooked so far. Therefore, to ensure the benefits outweigh the costs of big data, and to unlock the full potential of big data in terms of business model innovation, we argue that companies need to have a clear map of all its possible uses. With this aim in mind, we have summarized the current state of scholarship, outlined the uses of big data across different business areas in private and public organizations, and the types of methodologies adopted, and we have suggested future research avenues, building upon our systematic literature review of 311 articles indexed in the Scopus database. In this manner, we contribute to increasing our scientific understanding of the big data phenomenon, and we provide theoretical and practical advice on the possible uses of big data that may allow companies to innovate their business models. Keywords: Big data; Value creation; Value capture; Value delivery; Business model; Business model innovation; Systematic literature review (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:123:y:2023:i:c:s016649722300024x DOI: 10.1016/j.technovation.2023.102713 Access Statistics for this article Technovation is currently edited by Jonathan Linton More articles in Technovation from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.