Perceived resistance, user resistance and managers’ performance in the Malaysian port industry Mohd Daud Norzaidi Faculty of Business Management, Universiti Teknologi MARA, Shah Alam, Malaysia Siong Choy Chong Putra International College, Melaka, Malaysia, and Mohamed Intan Salwani Faculty of Accountancy, Universiti Teknologi MARA, Shah Alam, Malaysia Abstract Purpose – Using the extended task-technology fit (TTF) model, this paper attempts to determine whether task-technology fit, perceived resistance, user resistance and usage influence managers’ performance. Design/methodology/approach – The study was conducted on 150 middle managers from various organisations in Malaysia’s port industry. Findings – The structural equation modelling results reveal that task-technology fit is significantly related to usage and perceived resistance, and that perceived resistance is a predictor of usage. Usage predicts performance, but not user resistance. There is no relationship between usage and user resistance, and vice versa. Research limitations/implications – The study focuses on Malaysia’s port industry and concentrates only on the management perspective of intranet usage. Practical implications – The results provide insights into how the Malaysian port industry and other organisations of a similar structure could enhance their intranet usage. Originality/value – This study is one of the first to address intranet usage in the port industry, and introduces two importance factors (i.e. perceived resistance and user resistance) that influence managers’ task performance. Keywords Information systems, Intranets, Middle managers, Mathematical modelling, Malaysia Paper type Research paper Introduction Many information system (IS) models have been developed since as early as the 1970s, notably including the Theory of Reasoned Action (Fishbein and Ajzen, 1975), the Technology Acceptance Model (Davis, 1989), the Theory of Planned Behaviour (Ajzen, 1991), the DeLone and McLane IS Success Model (DeLone and McLane, 1992), and task-technology fit (Goodhue and Thompson, 1995). The ultimate focus of these models is on perceived usefulness and subsequently the use of technology. However, there is The current issue and full text archive of this journal is available at www.emeraldinsight.com/0001-253X.htm AP 60,3 242 Received 8 January 2008 Revised 3 March 2008 Accepted 11 March 2008 Aslib Proceedings: New Information Perspectives Vol. 60 No. 3, 2008 pp. 242-264 q Emerald Group Publishing Limited 0001-253X DOI 10.1108/00012530810879114