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Transforming Human Resource Management Processes Through Intelligent Systems


Affiliations
1 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, 781 039, India
2 Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati - 781039, India
3 Infosys Limited, Hyderabad, India
4 Xavier Institute of Management, Bhubaneswar, India
     

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In order to remain competitive in a highly volatile business environment, organizations are required to engage themselves in constant learning. However, designing an effective learning organization demands acquisition and processing of knowledge distributed within and outside the organization. Technologies such as data warehousing, expert systems, best-practice databases, and intranet/internet systems have potentials to acquire, access, store and interpret explicit and implicit knowledge for an effective organizational action (Stein & Zwass 1995). In this communication, authors have emphasized on the smart-technology enabled Human Resource Management System (HRM) as a potential enabler for organizational learning and development. The objective here is to orient HR leaders towards a systematic data driven human resource decision making system which is flexible, scalable and cost effective. One of the few important considerations for building such an intelligent system is undoubtedly exploring the right HRMIT strategy fit.
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  • Eisenhardt, K. M. & Sull, D. (2001), “Strategy as Simple Rules”, available at: https://hbr.org/2001/01/strategy-as-simple-rules (accessed 9 August 2017).
  • Ghosh, V. & Tripathi, N. (2018), “Cloud Computing & e-HRM”, in Thite, M. (Ed), e-HRM: Digital Approaches, Directions & Applications, Oxford, UK: Routledge: (In Press).
  • Kabra, G., Ghosh, V. & Ramesh, A. (2017), “Enterprise Integrated Business Process Management and Business Intelligence Framework for Business Process Sustainability”, in Paul, K.A., Bhattacharya, K.D. & Anand, S.(Eds), Green Initiatives for Business Sustainability and Value Creation”, Hershey PA, USA: IGI Global.
  • Low, C., Chen, Y. & Wu, M. (2011), “Understanding the Determinants of Cloud Computing Adoption”, Industrial Management & Data Systems, 111(7): 1006-23.
  • Navimipour, N. J., Rahmani, A. M., Navin, A. H. & Hosseinzadeh, M. (2015), “Expert Cloud: A Cloud-based Framework to Share the Knowledge and Skills of Human Resources”, Computers in Human Behavior,46: 57-74.
  • Stein, E. W. & Zwass, V. (1995), “Actualizing Organizational Memory with Information Systems”, Information Systems Research, 6(2): 85-117.

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  • Transforming Human Resource Management Processes Through Intelligent Systems

Abstract Views: 150  |  PDF Views: 1

Authors

Vinit Ghosh
Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati, 781 039, India
Nachiketa Tripathi
Department of Humanities and Social Sciences, Indian Institute of Technology Guwahati - 781039, India
Hory Sankar Mukerjee
Infosys Limited, Hyderabad, India
Gaurav Kabra
Xavier Institute of Management, Bhubaneswar, India

Abstract


In order to remain competitive in a highly volatile business environment, organizations are required to engage themselves in constant learning. However, designing an effective learning organization demands acquisition and processing of knowledge distributed within and outside the organization. Technologies such as data warehousing, expert systems, best-practice databases, and intranet/internet systems have potentials to acquire, access, store and interpret explicit and implicit knowledge for an effective organizational action (Stein & Zwass 1995). In this communication, authors have emphasized on the smart-technology enabled Human Resource Management System (HRM) as a potential enabler for organizational learning and development. The objective here is to orient HR leaders towards a systematic data driven human resource decision making system which is flexible, scalable and cost effective. One of the few important considerations for building such an intelligent system is undoubtedly exploring the right HRMIT strategy fit.

References