Proposing an integrative data-analytics framework for micro, small and medium enterprises: a systematic review substantiated by evidence from two case studies

Bhardwaj, Shikha; Behl, Abhishek; Pereira, Vijay

Abstract

This study aims to propose an integrative framework on data analytics in medium and small enterprise (MSME) with an in-depth systematic review of existing literature evidenced through empirical case studies. An exclusive systematic review on data analytics in MSME was conducted on published literature from 2010 to 2021 and examined 42 relevant research studies. Based on thematic analysis of 42 research articles, four broad themes were identified – drivers, inhibitors, analytics adoptions, and outcomes and consolidated in an integrative framework. The integrative framework was substantiated by evidence of two case studies from IT and manufacturing sector respectively. The unique approach synthesised the existing knowledge, proposed a framework for MSME, evidenced through case study and offered a scope to move forward and reflect backward in the research domain.

Citation

Bhardwaj, S., Behl, A., & Pereira, V. (2023). Proposing an integrative data-analytics framework for micro, small and medium enterprises: a systematic review substantiated by evidence from two case studies. Annals of Operations Research, https://doi.org/10.1007/s10479-023-05186-9

• Journal Article Type: Article
• Acceptance Date: Jan 16, 2023
• Online Publication Date: Feb 9, 2023
• Publication Date: 2023
• Deposit Date: Jul 2, 2024
• Journal: Annals of Operations Research
• Print ISSN: 0254-5330
• Electronic ISSN: 1572-9338
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1007/s10479-023-05186-9
• Public URL: https://keele-repository.worktribe.com/output/856119
• Publisher URL: https://link.springer.com/article/10.1007/s10479-023-05186-9