Big Data Analytics Adoption Conceptual Framework: A Comparative Study between Indonesian and Malaysian Retail SMEs

HRMARS - Purpose: A lack of widespread adoption of Big Data Analytics (BDA) in Small and Medium-Sized Enterprises (SMEs) results from implementation hurdles and difficulties. Different conditions of each country will make a difference in BDA adoption. This paper proposes a conceptual framework of BDA adoption on the Technology, Organization, and Environment (TOE) framework. The proposed model will be able to explain the differences in BDA adoption determinants between countries. Design/methodology/approach: The Partial Least Square (PLS) with Multi-Group Analysis (MGA) technique must be employed to test and analyze the proposed model. Findings: The findings are not pertinent as this is a conceptual paper. Research limitations/implications: Although this paper has the potential to quantitatively explain the disparities in BDA adoption among countries, which are currently lacking, it has not yet been empirically verified. Practical implications: This paper offers practical implications for SMEs, BDA vendors, and the government in effectively formulating strategies for BDA adoption. Originality/value: This paper contributes significantly to the literature on BDA adoption in SMEs by proposing a comparative study between countries and highlighting the importance of environment factors (competitive pressure and government regulation) as moderators of the TOE framework.