Competency-driven decision making in data-centric offshoring: A fuzzy analytical hierarchy approach

Kunal Kanti Ghosh, Rahul Rao

Article ID: 3077
Vol 2, Issue 1, 2025
DOI: https://doi.org/10.54517/bmtp3077
Received: 18 November 2024; Accepted: 10 January 2025; Available online: 24 January 2025; Issue release: 31 March 2025


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Abstract

This research addresses a gap in offshore outsourcing studies by examining service providers’ competencies in Big Data Analytics as a Service (BDAaaS), Business Process Outsourcing (BPO), and Artificial Intelligence as a Service (AIaaS). The accelerating evolution of AI and data-centric industries necessitates this research to elucidate the essential competencies for achieving excellence in these domains. To overcome subjectivity in evaluating qualitative attributes, the fuzzy Analytic Hierarchy Process (AHP) is employed to assess the significance of service provider capabilities. The findings reveal variations in the importance of provider capabilities across BDAaaS, BPO, and AIaaS sectors. These results align with the strategic goals of many Indian IT outsourcing firms. By highlighting the differing competency requirements in these emerging cloud-based services, the study contributes valuable insights for service providers looking to enhance their competitive position in the global market. This research provides a foundation for future studies on provider competencies in the evolving landscape of data-driven cloud services.


Keywords

Big Data Analytics as a Service (BDAaaS); Business Process Offshoring (BPO); Artificial Intelligence as a Service (AIaaS); Competency-Value-Output (CVO); cloud-based solution


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