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This paper aims to explore the internationalisation of service-sector small- and medium-sized enterprises (SMEs) from an emerging market, focussing on the entry modes, psychic distance, business network, internationalisation challenges and capabilities of business training and consultancy firms from Malaysia.

A multiple-case study approach is adopted, and 31 in-depth interviews were conducted with the top management and executives from eight business training and consultation (BT&C) firms in Malaysia. The Uppsala model is used for theoretical guidance to analyse the internationalisation of the firms.

The results suggest that psychic distance, business network and business capabilities influence the internationalisation of BT&C firms from Malaysia. However, the discussion of entry modes in the framework of service internationalisation does not accurately explain the internationalisation of the studied firms.

This study is a qualitative research based on the experiences of eight firms. The basis of this study is inadequate for scientific generalisation. Quantitative research should be conducted in the future to provide a statistical test and empirical results. This study is concerned with the emerging-market context. The study could be expanded to include more industries and other emerging markets in the future.

This study explored the application of internationalisation theories to the BT&C industry in an emerging market, with particular emphasis on firms’ entry modes, psychic distance, business networks, international challenges and capabilities. This study also highlighted some of the key internationalisation challenges facing emerging market small- and medium-sized enterprises (EMSMEs), underlining the importance of business networks and capabilities.

Nevertheless, this study shares useful and practical discoveries concerning the internationalisation process of BT&C firms from the emerging market, focussing on entry modes, psychic distance, business network, the challenges faced and the required capabilities.

The study provides new insights into service internationalisation in SMEs from an emerging market. The application of internationalisation theories to the BT&C industry in an emerging market is analysed.

Mobile health (mHealth) technologies, in particular, have been sought after and advocated as a means of dealing with the pandemic situation. Despite the obvious advantages of mHealth, which include monitoring and exchanging health information via mobile applications, mHealth adoption has yet to take off exponentially. Expanding on the unified theory of acceptance and use of technology (UTAUT) model, this study aims to better comprehend consumers’ receptivity to mHealth even after the pandemic has subsided.

Through purposive sampling, data were collected from a sample of 345 mobile phone users and analysed using partial least squares structural equation modelling (PLS-SEM) and artificial neural networks (ANN) capture both linear and nonlinear relationships.

Effort expectancy, performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments.

The importance–performance map analysis (IPMA) results showed that social influence had great importance for mHealth uptake, but demonstrated low performance.

Referrals are an alternative that policymakers and mHealth service providers should think about to increase uptake. Overall, this study provides theoretical and practical insights that contribute to the advancement of digital healthcare, aligning with the pursuit of Sustainable Development Goal 3 (SDG 3) (good health and well-being).

This study has clarified both linear and nonlinear relationships among the factors influencing intentions to adopt mHealth. The findings from both PLS and ANN were juxtaposed, demonstrating consistent findings.

This study aims to investigate the evolving travel intentions of tourists in the aftermath of the relaxation of international mobility restrictions in 2022. It aims to understand how the concept of “revenge travel” – travelling with the intent to make up for lost time during crisis periods – impacts tourists' travel intentions in the post-crisis era.

Employing a quantitative approach, the study uses Structural Equation Modelling (SEM). Data were collected through a survey of 320 respondents in 2022. This methodology enables a comprehensive understanding of travel intentions, including motivations, perceptions of destination safety and the influence of revenge travel.

The findings reveal that revenge travel is a significant predictor of travel intentions post-crisis. The results indicate that tourists are less concerned with health and safety and are more driven by the desire to compensate for lost travel opportunities. This shift suggests that travel intentions in the post-crisis era are not predominantly fear-induced. The study also offers insights into how these intentions can inform the recovery and sustainable planning of the tourism industry.

This paper recognises the impact of revenge travel on travel intentions following the lifting of crisis-related mobility restrictions. It provides novel insights into tourists' post-crisis travel behaviour, extending the understanding of travel motivations in extraordinary circumstances. The findings are valuable for tourism practitioners and researchers, offering guidance for future tourism development and marketing strategies within a post-crisis context.

This study aims to examine the status of entrepreneurship education (EE) in Malaysia and entrepreneurship education programmes (EEPs) offered by Malaysian public and private higher education institutions (HEIs), against the backdrop of macro-level context of Malaysian government institutions related to entrepreneurship.

This study replicates and extends the research by Maritz et al. (2015, 2019). The study expands a nascent archetype regarding an iterative and systematic open-ended emergent enquiry, together with data collection from Malaysian HEIs.

The findings suggest significant emergence of EE (programmes and research) in Malaysia, despite EEPs being sparsely distributed across HEIs in the bottom half of Table 1. The top ten HEIs (12% of all HEIs in Table 1) accounted for 35% of all EEPs. This study highlights the significant influence of Malaysian government institutions related to entrepreneurship on EE and EEPs.

The findings are subject to the availability and accuracy of information and documents available on official websites of HEIs. This limitation has been mitigated with telephone and email inquiries and other sources of information.

The findings provide critical grounding and inferences on the status of EE and EEPs in Malaysia for researchers, practitioners, HEIs, governments and other stakeholders.

This study is first of its kind on emergent enquiry into the status of EE in Malaysia and EEPs offered by 19 public HEIs and 67 private HEIs in Malaysia. Moreover, this study links macro-level context of the Malaysian government institutions related to entrepreneurship with micro-level context of EE and EEPs.

The article aims to identify the association between each smart home service category's benefits and barriers to their adoption. The results seek to identify efficient approaches that motivate users to adopt smart homes services and support suppliers to establish strategies to expand and optimize smart home technologies.

The research used the chi-square test of independence to reveal the association between the benefits and barriers perceived by the users during smart home services implementation. Furthermore, the statistical analysis using reliable evidence based on 122 articles reported in the literature provides valuable knowledge for smart home implementation.

The results reveal which barriers and benefits in the smart home are essential for implementing each type of service. Therefore, the association between barriers and benefits with smart home services implementation can support the dissemination of smart home technologies.

The article provides evidence to develop strategies for implementing smart home services, supporting companies with guidelines to be more assertive in disseminating smart homes technologies.

Using the literature as a data source and raising the associations through the chi-square test of independence, the methodology provides a high level of generalization and strong evidence regarding the association of smart home benefits or barriers associated with every smart home service.