An Empirical Reseaech of Various Factors Influencing Digital Access Towards HRM
Richa Priya1, Vinita Sinha2
1Richa Priya, Department of Business Analytics, Symbiosis Centre for Management and Human Resource Development, Symbiosis International Deemed, Pune (Maharashtra), India.
2Vinita Sinha, Department of Human Resource, Symbiosis Centre for Management and Human Resource Development, Symbiosis International Deemed, Pune (Maharashtra), India.
Manuscript received on 09 September 2019 | Revised Manuscript received on 18 September 2019 | Manuscript Published on 11 October 2019 | PP: 298-301 | Volume-8 Issue-11S September 2019 | Retrieval Number: K105709811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1057.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Analytics is a domain which uses quantitative methods to organize, analyze and condense a massive amount of data. Synthesizing a large amount of data possessed by the organizations has been the focus of interest to enable informed decision making. The challenge of technologies used in HR is to identify data, which needs to be captured, modeled and predicted, to increase an organization’s productivity. The present research intends to study the recent trends in perception of usage of technologies used by organizations in the area of HRM. The study also focuses on the willingness of an individual to participate in such organization. This study therefore uses TAM 3 model to examine the determinants for technology acceptance among users.
Keywords: Digital HRM, HR Analytics, Technologies in HRM, TMA3 Model.
Scope of the Article: Digital Signal Processing Theory