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100			_aJyotiranjan Hota
245			_aFramework of Challenges Affecting Adoption of People Analytics in India Using ISM and MICMAC Analysis
300			_aP.76-86
520			_aPeople analytics has brought a paradigm shift in the processes, technologies and systems of organizations. Success is driven here through data-driven methodologies. The primary objective of this research is to identify, rank and interrelate challenges affecting the adoption of people analytics in India. The interpretative structural modelling (ISM) approach is applied to rank and interrelate these challenges in the Indian context. MICMAC analysis is conducted to reveal the driving power and dependence of these challenges of people analytics. The MICMAC analysis also indicates the relative importance and interdependence between these challenges in the Indian context. During the first phase of the research, 12 challenges are identified from the literature, and these people analytics challenges are validated based on expert opinions. During the second phase, ISM identifies ‘Leveraging existing enterprise resources’ as the most important challenge in the Indian context among the 11 validated challenges. MICMAC analysis identifies all 11 challenges as ‘linkage challenges’ with high dependence and driving power. For researchers, this methodology facilitates further carrying out exploratory studies and focusing their interactions through hierarchical structures. The study investigates the core issue among many issues faced by people analytics professionals. Second, it has methodological novelty in the context. Finally, it points to multidimensional implications for various stakeholders in people analytics in the Indian context.
654			_aPeople Analytics _aInterpretive Structural Modelling (ISM) _aMICMAC Analysis _aHierarchical Structure _aQualitative Modelling
773	0		_080316 _9109637 _dNew Delhi Sage Publications _oJP80 _tVision: The Journal of Business Perspectives _x0972-2629
942			_cJA
942			_2ddc
999			_c130940 _d130940