Role of Knowledge, Intelligence, Thinking, and Personality on Corruption Intention: An Exploratory Study

By Shamshul Anaz Kassim, Noornina Dahlan and Zainal Ariffin Ahmad.

Published by The Organization Collection

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Article: Print $US10.00
Article: Electronic $US5.00

This paper outlines an exploratory study, which seeks to identify the determinants of corruption intention among administrators in the public institutions of higher learning in Malaysia. Underlined by the Theory of Planned Behavior (Ajzen, 1991) in which behavioral intention is determined by attitude, subjective norm, and perceived behavioral control; this study postulates that the propensity for corruption intention is related to attitude, subjective norm (supervisor, peer, family), and perceived behavioral control (self control, supervision control, monitoring systems). The research objective of this study is two-fold: (1) To empirically test and identify the core determinants of corruption intention; and (2) To study the role of knowledge, intelligence, thinking, and personality. The target sample comprises administrative employees in twenty public institutions of higher learning in Malaysia. The method of field survey and proportionate sampling will be applied.

Keywords: Theory of Planned Behavior, Corruption Intention, Knowledge, Intelligence, Thinking, Personality

International Journal of Knowledge, Culture and Change Management, Volume 8, Issue 9, pp.69-76. Article: Print (Spiral Bound). Article: Electronic (PDF File; 484.948KB).

Shamshul Anaz Kassim

PhD Candidate, Universiti Teknologi MARA, Perlis, Malaysia

Shamshul Anaz Kassim is a PhD candidate at the School of Management, Universiti Sains Malaysia (USM) and at the same time served as Business Management Lecturer in Universiti Teknologi MARA (UiTM). His research interests include corruption intention, intention-behavior discrepancy, attitude formation and change, effects of attitude on behavior, organization behavior and development, management, marketing communication, marketing management, human resource management, technology management, and the relations between knowledge, intelligence, thinking and personality.

Dr. Noornina Dahlan

Deputy Director, Advanced Management Center, Universiti Sains Malaysia, Minden, Penang, Malaysia

Noornina Dahlan is Senior Lecturer at School of Management, Universiti Sains Malaysia (USM). Conferred PhD (Artificial Intelligence) from School of Computer Science, University of Sheffield; MSc IT from School of Computer Science, University of Keele; and BA (Honours) in Business Administration from School of Management, University of Middlesex. Held key positions at Bank Bumiputra Malaysia; Financial Consultant at Panara Malaysia; Auditor at Price Waterhouse; and Assistant Accountant at Elliot Retail Plc., London.Teaching Management Information Systems and E-Commerce; supervising 12 Ph.D. candidates; and supervised 30 postgraduates. Chairs Technology Management Cluster, and investigates Technology Management, Artificial Intelligence, and Brain Dynamics (Knowledge, Intelligence, & Thinking). Reviews the Asian Academy of Management Journal, IT for Development Journal, and Journal of IT & Management; reviews Fundamental Research Grant Scheme (FRGS); completed a Web-based project for the largest Malaysian local authority; and undertaken an agriculture-based, IT project for Malaysian State of Perak. Currently funded by FRGS for ‘White Collar Crime Tendencies’, and Ministry of Higher Education for ‘Academic Promotions’. Spearheaded planning, design, and implementation of Online MBA Programme. She is now Deputy Director of Advanced Management Center, which is to be evolved into a Graduate School of Business.

Prof. Zainal Ariffin Ahmad

Head, Human Development Lab, School of Management, Universiti Sains Malaysia, Minden, Penang, Malaysia

Associate Professor Dr. Zainal Ariffin Ahmad is the Outstanding Educator Award 2007 recipient at Universiti Sains Malaysia. Presently he serves as Principal Investigator (PI) and heads the Human Development Laboratory (HD Lab) in the School of Management. He conducts experiments and protocols for analyzing the brainwaves patterns of students, executives and managers in making decisions as well studying the patterns of learning and learning difficulties of adults and children using EEG. Other research interests include organization development, human resource management and knowledge management. He has a long and outstanding record of teaching excellence in higher learning, supervision of PhD, MA/MSc, DBA, and MBA candidates and published several books and numerous research publications in international journals and conference proceedings.


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