Purpose -Based upon the E-VALUE model developed, this paper aims to investigate the impact of e-commerce usage on business performance in the tourism sector. Design/methodology/approach -A cross-sectional survey is carried out on 165 Malaysian firms involved in the tourism sector (hotels, resorts, and hospitals engaged in health tourism) through the use of a structured questionnaire. Findings -The structural equation modeling results indicate that technology competency, firm size, firm scope, web-technology investment, pressure intensity, and back-end usage have significant influence on e-commerce usage. Among these variables, back-end integration is found to function as a mediator. E-commerce experience (in years) is found to moderate the relationship between e-commerce usage and business performance.Research limitations/implications -The paper focuses on the tourism sector in Malaysia and concentrates only on the management perspective of e-commerce adoption. Practical implications -The results provide insights to the Malaysian tourism sector and other organizations of similar structures of how they could improve upon their e-commerce adoption and/or usage for improved business performance. Originality/value -This paper is perhaps one of the first to investigate e-commerce usage in the tourism sector using a comprehensive set of variables through an interactive, comprehensive and multi-dimensional theoretical model (the E-VALUE model) in investigating their influences on business performance.

Purpose -Using the extended task-technology fit (TTF) model, the purpose of this paper is to examine the impact of intranet usage on middle managers' performance in the port industry. Design/methodology/approach -The study was conducted on 357 middle managers from various organisations in the Malaysian port industry. Findings -The structural equation modelling results indicate that TTF and usage significantly explains the variance on managers' performance. TTF is a predictor of perceived usefulness and usage but it does not predict user resistance. Perceived usefulness is a predictor of usage but it does not predict user resistance. User resistance does not predict managers' performance.Research limitations/implications -The study focuses only on the port industry in Malaysia and concentrates only on the management perspective of intranet usage. Practical implications -The results provide insights on how the Malaysian port industry and other organisations of a similar structure could improve on their intranet adoption. Originality/value -This study is perhaps one of the first to address the intranet adoption in the port industry using a comprehensive, extended TTF model (perceived usefulness, usage, user resistance) to investigate their influences on individual job performance.

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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.

PurposeUsing the extended task‐technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance.Design/methodology/approachThe study was conducted at Universiti Teknologi MARA, Johor, Malaysia and questionnaires were distributed to 354 undergraduate students.FindingsThe structural equation modelling (SEM) results indicate that technology satisfaction and the internet usage significantly explains the variance on students' performance. Task‐technology fit is not a predictor of technology resistance but it does predict the internet usage. The internet usage has greater impact on technology satisfaction than technology satisfaction on the internet usage. Finally, technology resistance is not a predictor of students' performance.Research limitations/implicationsThe study focuses only on education in Malaysia and concentrates only on the students' performance and the relationship between technology resistance, technology satisfaction and the internet usage.Practical implicationsThe results provide insights on how Malaysian education systems of a similar structure could improve upon their internet adoption.Originality/valueThis study is perhaps one of the first to address internet adoption in education using an extended task‐technology fit model (task‐technology fit, internet usage, technology resistance, technology satisfaction) to investigate their influences on students' performance.