An Integrated Conceptual Model of 360-Degree Performance Appraisal and Candidate Forecasting Using Adaptive Neuro-Fuzzy Inference System

Authors

  • Khomsun Lelavijit Information Technology Management, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand https://orcid.org/0000-0002-9509-9407
  • Supaporn Kiattisin Information Technology Management, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand https://orcid.org/0000-0002-7776-643X

DOI:

https://doi.org/10.13052/jmm1550-4646.1642

Keywords:

Adaptive fuzzy logic, neuro-fuzzy recruitment system, one-way ANOVA, performance appraisal, 360-degree performance evaluation

Abstract

360-degree evaluations are popular performance appraisal method that involves evaluation input from multiple levels within the firm as well as external sources. However, subordinate can be bias the ratings. The performance appraisal process is far from accurate and objective, sometimes resulting in rating errors. This article proposes an approach to minimizing subjective judgement in the effective employee evaluation in the existence of the multi-factor competency-based measures in a hierarchical structure using ANFIS and ANOVA algorithm. This study supports the ideas that the best MSE (0.0056) calculation is achieved by Using Adaptive Neuro-Fuzzy Inference System (ANFIS) with ANOVA selection features. The method suggested helps Human Resource (HR) managers to make more objective decisions for put right man on right time. The predicting behavioural competencies of employees to make investment in human development more effective. It is also a change in the decision-making concept of Human Resource Development (HRD) from feelings about the decision based on more information.

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Author Biographies

Khomsun Lelavijit, Information Technology Management, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand

Khomsun Lelavijit received the B.Sc. degree in Information Technology from Rangsit University, Thailand in 2006. He received the M.Sc. degree in Management Technology from National Institute Development Academy (NIDA) in 2014. He has experienced in Digital transformation and Digital project management in PTT Group, more than 10 years. He is currently a Ph.D. student in IT Management, Mahidol University. His areas of research interests are Human resource management, Organization behavior, Information technology management, Artificial intelligence, People analytic and Digital transformation.

Supaporn Kiattisin, Information Technology Management, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand

Supaporn Kiattisin received the B.Eng. degree in applied computer engineering from the Chiang Mai University, Chiang Mai, Thailand, in 1995, the M.Eng. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering form King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, in 1998, and 2006. She is currently the program director of Information Technology Management, Faculty of Engineering, Mahidol University, Thailand. Her research interests include computer vision, image processing, robot vision, signal processing, pattern recognition, artificial intelligence, IoT, IT management, digital technologies, big data and enterprise architecture with TOGAF 9 certified. She is a member of IEICE and TESA. She served as a Head of IEEE Thailand Chapter in Bio Medical Engineering. She also served as the Chairman of the TimesSOC Transaction Thailand.

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Published

2020-12-25

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