Purpose: This study integrates the theory of planned behaviour (TPB) and value-belief-norm (VBN) theory to investigate tourists' intention and behaviour to visit green hotels in Malaysia.Design/methodology/approach: A total of 160 valid questionnaire responses were collected via an online survey. The partial least square–structural equation modelling (PLS-SEM) technique was utilised to assess the study framework and the hypothesised relationship.Findings: The study's results confirmed that tourists' intention to stay at a green hotel is directly influenced by their subjective norms and perceived behavioural control. Besides, the study confirms the insignificant relationship between green trust, personal norms and tourists' stay intention. On the other hand, perceived morals, responsibility, willingness to pay more and perceived consumer effectiveness were significant in explaining the customer's subjective norms, personal norms and perceived behaviour control.Research limitations/implications: The hotel industry may benefit from this empirical outcome to devise effective marketing strategies for retaining their customers, particularly in rejuvenating the impact of the COVID-19 pandemic on the industry.Practical implications: This study provides valuable practical implications for green hotel operators to develop effective strategies to attract tourists to green hotel visits.Originality/value: This study is the first to integrate the extended TPB and VBN theory to understand tourist intention to visit a green hotel. Notably, the extended TPB and VBN theory was practical and helpful in predicting tourist intention to visit a green hotel.

The purpose of this study is to provide a comprehensive review of e-learning in higher education institutions (HEIs) during the COVID-19 pandemic. This study presents current research issues and future progress in HEIs e-learning in the wake of the COVID-19 pandemic from 2019 to 2020 through the Web of Science (WOS) database. The analysis comprises citation analysis, co-citation analysis, and co-occurrence of keyword analysis. This bibliometric review provides essential insight for researchers to identify the most influential publications and determine the fundamental structure. Furthermore, this review facilitates future studies on the influential research trends and emerging topics. Findings present several streams of discussion based on the clusters identified from the three analyses. Subsequently, the theoretical and methodological implications on the emergence of new sub-fields and interesting future works in connection with e-learning in HEIs are presented. The outcome would aid scholars and practitioners in advancing the technology and aid towards e-learning in HEIs to ensure students' education can be sustained in the state of emergency.

This study examines the factors influencing government employees’ cybersecurity behavior in Malaysia. The country is considered the most vulnerable in Southeast Asia. Applying the protection motivation theory, this study addresses the gap by investigating how government employees behave toward corresponding cyberrisks and threats. Using partial least-squares structural equation modeling (PLS-SEM), 446 respondents participated and were analyzed. The findings suggest that highly motivated employees with high severity, vulnerability, response efficacy, and self-efficacy exercise cybersecurity. Incorporating the users’ perceptions of vulnerability and severity facilitates behavioral change and increases the understanding of cybersecurity behavior’s role in addressing cybersecurity threats—particularly the impact of the threat response in predicting the cybersecurity behavior of government employees. The implications include providing robust information security protection to the government information systems.