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.

Mobile banking has the potential to outperform the internet banking, since, the usage of internet in Yemen is very limited. The purpose of this study is to examine the effect of perceived risk and awareness as external variables on the technology acceptance model (TAM) for a comprehensive understanding of intention to use mobile banking. A questionnaire was used to collect data, and 482 valid responses were received. The model explained 78% of the variance in intention. Results revealed that awareness reduces the perception of risk. In addition, perceived risk is a major attenuator for the perceived ease of use (PEOU), and perceived usefulness (PU). Awareness also had a significant impact on PU and PEOU. In addition, PU was found as a major predictor of the intention. The results of the current study will give additional insights into productive strategies to extend mobile banking in countries such as Yemen.

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.

Indonesia is one of the world’s biggest halal food product and service consumers. The halal industry will continue to expand as the Muslim community’s needs grow. Therefore, application development for online halal food providers through the Go Food and Shopee Food platforms is in high demand. This paper aims to analyze the determinants of Go Food and Shopee Food users’ halal food purchase decisions. The theory of planned behavior (TPB), the theory of consumer behavior, and the unified theory of acceptance and utilization of technology (UTAUT2) were used. The research sample consists of Go Food and Shopee Food users chosen randomly from a pool of 104 respondents. The data were collected using a questionnaire developed from previous studies and the theories applied (TPB and UTAUT2). Respondents received questionnaires online via Google Forms. Path analysis was used in this study. The findings show that TPB constructs can adequately explain halal food purchase behavior. The attitude toward the purchase of halal food and subjective norms affect the user’s intentions to purchase halal food. The coefficients are 0.291 and 0.379, with a p-value < 0.001. The user’s intention determines the positive decision to purchase halal food with a coefficient of 0.843 and a p-value < 0.001. Halal awareness is a powerful predictor with a coefficient of 0.206 and a p-value of 0.014. However, perceived behavioral control, halal literacy, religious commitment, financial literacy, and UTAUT2 constructs (price value, hedonic motivation, and habit) were not found to determine the intention to purchase halal food.

This study examines the impact of hybrid technology adoption on technostress among students, addressing critical knowledge gaps in existing research. Prior studies predominantly focus on workplace settings or analyze technostress in offline or fully online learning contexts, neglecting the complexities of hybrid education. Unlike previous research, this study positions hybrid technology as a central mediator, investigating key factors such as health and lifestyle, e-learning effectiveness, psychological and behavioral aspects, and institutional and technological support. 137 digital questionnaires were distributed to students at a public university, and hypothesis testing confirmed that all factors significantly influenced technostress through hybrid technology adoption (p < 0.05). The findings highlight hybrid technology’s dual role as both an enabler of learning and a stressor. This study contributes to a more comprehensive understanding of technostress and provides valuable insights for policymakers, universities, and industry stakeholders to develop effective strategies for optimizing hybrid learning environments.

Purpose – Using the extended task-technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance. Design/methodology/approach – The study was conducted at Universiti Teknologi MARA, Johor, Malaysia and questionnaires were distributed to 354 undergraduate students. Findings – The 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/implications – The 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 implications – The results provide insights on how Malaysian education systems of a similar structure could improve upon their internet adoption. Originality/value – This 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.