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Reseach Article

Human Resource Management through AI Approach: An Experimental Study of an Expert System

Published on November 2012 by Pooja Tripathi, Jayanthi Ranjan, Tarun Pandeya
National Conference on Communication Technologies & its impact on Next Generation Computing 2012
Foundation of Computer Science USA
CTNGC - Number 3
November 2012
Authors: Pooja Tripathi, Jayanthi Ranjan, Tarun Pandeya
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Pooja Tripathi, Jayanthi Ranjan, Tarun Pandeya . Human Resource Management through AI Approach: An Experimental Study of an Expert System. National Conference on Communication Technologies & its impact on Next Generation Computing 2012. CTNGC, 3 (November 2012), 23-27.

@article{
author = { Pooja Tripathi, Jayanthi Ranjan, Tarun Pandeya },
title = { Human Resource Management through AI Approach: An Experimental Study of an Expert System },
journal = { National Conference on Communication Technologies & its impact on Next Generation Computing 2012 },
issue_date = { November 2012 },
volume = { CTNGC },
number = { 3 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/ctngc/number3/9066-1030/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%A Pooja Tripathi
%A Jayanthi Ranjan
%A Tarun Pandeya
%T Human Resource Management through AI Approach: An Experimental Study of an Expert System
%J National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%@ 0975-8887
%V CTNGC
%N 3
%P 23-27
%D 2012
%I International Journal of Computer Applications
Abstract

This study investigates the impact of an expert system used as a decision aid in a job evaluation system. Both performance outcomes and psychological outcomes are analyzed in an experiment in which the intended users of the expert system served as subjects. The study draws largely from behavioral decision theory for its theoretical support. Although this study examines an expert system within an HRM context in the teaching and learning process, the results are useful as one test of expert system efficacy within the more general area of managerial decision making.

References
  1. Stanislav Karapetronics, Walter Willborm, (1999), Holonic model for a quality system in academic, International Journal of Quality and Relaiability Management, Vol. 16, No. 5, pp 457-484.
  2. Carole Elmonds, (2007), Continous quality improvement: integrating best practice into teacher education, International Journal of Education Management, Vol 21, No. 3 pp 232-237.
  3. Bostingl, J. J. (1992), "The total quality classroom", Educational Leadership, Vol. 49 No. 70,pp. 66-70.
  4. Fatma Mizikaci,(2006), Quality Assurance in Education, Vol. 14 No. 1, 2006, pp. 37-53, Emerald Group Publishing Limited
  5. Laurie Lomas (2004), Embedding quality: the challenges for higher education, Quality assurance in Education, Vol. 12, No. 4 pp157-165.
  6. R. A. Alani, (2008), Accreditation outcomes: quality of and access to university education in Nigeria, Quality Assurance in Education, Vol. 16, No. 3, pp301-312.
  7. Timothy Manyaga (2008), Standard to assure quality in tertiary education: the case of Tanzania, Quality Assurance in Education, Vol. 16, No. 2, pp 164-180.
  8. Ching-Yaw Chen ,(2007), Benchmarking potential factors leading to education quality A study of Cambodian higher education, Quality Assurance in Education Vol. 15 No. 2, 2007 pp. 128-148
  9. Heene, A. and Sanchez, R. (Eds. ) (1997), Competence-Based Strategic Management, Chichester: John Wiley and Sons.
  10. G Liddon, (2006), "Forecasting a Competency Model for Innovation Leaders Using a Modified Delphi Technique. [Thesis. ]Pennsylvania State University, 2006.
  11. Lepsinger, Lucia, A. D. (1999), 'The Art and Science of Competency Models: Pinpointing Critical Success Factors in Organizations'. San Francisco, Jossey-Bass/Pfieffer 1999.
  12. Delamare Le Deist, F. – Wintertone, J. (2005): What Is Competence? Human Resource Development International, 8, 2005 (1): 27–46.
  13. Chatchai Unahabhokha, Ken Platts, Kim Hua Tan, (2007) "Predictive performance measurement system: A fuzzy expert system approach", Benchmarking: An International Journal, Vol. 14 Iss: 1, pp. 77 – 91.
  14. Tracy Cooke, Helen Lingard, Nick Blismas, Andrew Stranieri, (2008) "ToolSHeDTM: The development and evaluation of a decision support tool for health and safety in construction design", Engineering, Construction and Architectural Management, Vol. 15 Iss: 4, pp. 336 – 351.
  15. Mark A. Robinson, Paul R. Sparrow, (2007)
  16. , Forecasting future competency requirements: a three phase methodology. Personnel Review, Vol. 36, No. 1, pp 65-90.
  17. W. D. Potter, X. Deng, J. Li, M. Xu, Y. Wei, I. Lappas, M. J. Twery and D. J. Bennett,(2000), A web-based expert system for gypsy moth risk assessment, Computers and Electronics in Agriculture 27 (2000) (1–3), pp. 95–105.
Index Terms

Computer Science
Information Sciences

Keywords

Human Resource Management (hrm) Artificial Intelligence (ai) Expert System