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This study aims to examine the underlying emotional process that explains how context-specific stimuli involved in virtual reality (VR) destinations translate into presence perceptions and behavioral intentions.

In total, 403 potential tourists participated in a self-administered online survey after they watched a randomly assigned VR tour. The Lavaan package in R software was used to conduct structural equation analysis and examine the proposed theoretical framework.

The results reveal that media content consisting of informativeness, aesthetics and novelty was positively related to users’ sense of presence in a VR tour. The effect of media content on presence was partially mediated by emotional arousal.

Managers and VR designers can create an emotive virtual tour that contributes to the user’s sense of presence to promote attraction to the target destination. The VR content needs to be informative, aesthetic and novel, which can excite users during the VR tour, portray virtual destinations clearly and eventually influence potential tourists’ visit intentions.

Research on the emotional mechanism to generate presence is still in its infancy. This study integrates presence theory into a conceptual framework to explore how media content influences presence and decision-making through the emotional mechanism.

The purpose of this paper is to explore how GenAI can help companies achieve a higher level of hyper-segmentation and hyper-personalization in the tourism industry, as well as show the importance of this disruptive tool for tourism marketing.

This paper used the Web of Science and Google Scholar databases to provide updated studies and expert authors to explore GenAI in the tourism industry. Analysing hyper-segmentation and hyper-personalization modalities through GenAI and their new challenges for tourists, tourism cities and companies.

Findings reveal that GenAI technology exponentially improves consumers’ segmentation and personalization of products and services, allowing tourism cities and organizations to create tailored content in real-time. That is why the concept of hyper-segmentation is substantially focused on the customer (understood as a segment of one) and his or her preferences, needs, personal motivations and purchase antecedents, and it encourages companies to design tailored products and services with a high level of individual scalability and performance called hyper-personalization, never before seen in the tourism industry. Indeed, contextualizing the experience through GenAI is an important way to enhance personalization.

This paper also contributes to enhancing and bootstrapping the literature on GenAI in the tourism industry because it is a new field of study, and its functional operability is in an incubation stage. Moreover, this viewpoint can facilitate researchers and companies to successfully integrate GenAI into different tourism and travel activities without expecting utopian results. Recently, there have been no studies that tackle hyper-segmentation and hyper-personalization methodologies through GenAI in the tourism industry.

Prior research has proposed a number of scales measuring the customer experience (CX), which tend to conceptualize and operationalize CX differently, raising potential confusion among researchers (e.g. regarding which scale to use). Addressing this issue, this article conducts a systematic review to inventorize key CX scales and assess their theoretical rigor, with a focus on the identification of potential scale-related drawbacks or risks.

Drawing on the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach, 104 CX scale development studies published between 1996 and 2024 are identified and analyzed in terms of their respective CX conceptualization, dimensionality, itemization, and adopted theoretical perspective to evaluate their theoretical rigor.

The findings reveal the existence of five main risks associated with the adoption of specific CX or related scales, including (1) defining experience with explicit reference to other extant constructs, (2) failure to accurately and comprehensively capture the experience, (3) experience-based tautology and theoretical indeterminacy, (4) experience-based composite constructs, and (5) lacking robustness of experience-based conceptual models. Based on these observations, recommendations are offered for scholars to improve the rigor of their adopted, refined, or proposed CX or related scales.

This article assesses the benefits and potential risks inherent in the adoption of particular CX scales, equipping researchers with a CX roadmap.

This study aims to explore customers’ second-hand clothing purchases and their engagement on the Facebook marketplace.

A conceptual model is developed, building upon the online second-hand shopping motivation (OSSM) scale. Data gathered from 409 respondents was analysed using covariance-based structural equation modelling.

The results highlight that economic, convenience, ideological motivations and environmental concerns impact customers’ purchase intention. Conversely, status consumption was found to impede customers’ purchase intentions. Notably, the elements of social media engagement, including consumption, contribution and creation, demonstrated significance as a consequence of customers’ second-hand clothing purchase intention.

This study’s findings contribute to the knowledge encompassing sustainable fashion consumption, information systems and second-hand social media shopping. It uniquely explores customer behaviours related to second-hand clothes shopping on the Facebook marketplace by building upon the OSSM scale. These findings offer valuable insights, showcasing the determinants that can increase customer-centric social media engagement. These results inform online retailers on Facebook marketplace about sustainable practices, aligning with UN Sustainable Development Goals 12, 13 and 8, to promote a green global economy.

This study aims to determine the best way to apply material flow cost accounting (MFCA) in an SME environment with the goal of visualizing negative product cost during the manufacturing process and pinpointing places where improvements can be made.

This study uses a case study approach to demonstrate the usefulness of the MFCA tool in an SME in India that produces aluminum energy products used in the electrical power sector through gravity die casting.

According to the results, the company’s gravity die casting has a negative product cost margin of 27.38% as a result of MFCA analysis. It is also determined that the negative material cost is Rs. 22,919, the negative system cost is Rs. 462 and the negative energy cost is Rs. 1,069 for processing 300 kg of raw material. The typical monthly raw material processing for this company is 45,000 kg.

This research shows that MFCA’s implementation will improve the company’s environmental consciousness and bottom line. To the best of the authors’ knowledge, this study is the first to implement MFCA in aluminum gravity die casting of electrical parts manufacturing.

The purpose of this study is to propose an analytical framework for generating main path analysis (MPA) and demonstrate the process involved in identifying, analyzing the MPA on a citation network and empirically testing in the research field chromosome anomalies (CA).

The proposed methodological structure involves five phases of the process. Search path method is used to measure the weights of each citation link from a source vertex to a sink vertex. The key route local main path and global main path are generated to identify the knowledge diffusion trajectories and validated by cross-referencing with existing literature, co-citation analysis and centrality measures of social network analysis.

The empirical validation of this framework within CA research demonstrates its potential for tracing knowledge diffusion and technological development trajectories over three decades. This approach elucidates two major intellectual knowledge flows. The first key-route main path identified the primary diagnostic protocols. The second key-route main path revealed that cancer or carcinogenesis is identified as one of the mainstream of CA.

The limitations of the data and coverage period restrict the scope of this study. MPA was applied exclusively to the most influential sub network and disregarded other sub networks. MPA identified the seminal papers that provided a historical development in diagnostic protocol and their interconnectedness of disorders and diseases. This helps the researchers to develop targeted therapies and interventions, especially in cancer treatment.

Exploiting MPA on CA research provides valuable insights to stakeholders in developing evidence-based public health policies. This is crucial for preventing the birth of children with birth defects or genetic diseases, promoting public health and reducing the socioeconomic burden on a country through enhanced surveillance and prevention efforts.

The study suggests that in addition to traditional scientometrics measures, MPA can be used to trace the evolution of knowledge and technological advancements. It also highlights the role of social network analysis measures in extracting main paths.

Given the contradictory findings of standardization/adaptation of marketing strategy in explaining export performance in the extant research, this study aims to examine the contingent effects of managerial ties and born global orientation in the standardized advertising-export performance conceptualization.

The study used two-respondent method in the survey research by a sample of 155 exporting firms operating in the industrial marketing based in Australia and New Zealand and applied hierarchical regression analysis to test the hypotheses.

The findings demonstrate that standardized advertising has a significant effect on export performance and this relationship is positively moderated by business ties. Such effect is particularly enhanced for born global firms (than nonborn global firms). However, political ties negatively influence the impact of standardized advertising on performance and such effect is stronger for born global firms.

A broader perspective of contingent variables should be included to examine the underlying relationship between standardized advertising and export performance in capturing the dynamism in international marketing contexts, such as institutional frameworks or sociocultural environments in host countries.

Standardized advertising is critical for born global firms’ export performance as it can increase efficiency and speed up internationalization processes. Such positive impact of standardized advertising on export performance is further enhanced if born global firms allocate resources to develop strong business ties with host country partners instead of building political ties with host country governments, because smooth business networking can facilitate standardized advertising on industrial marketing, yet justifiable political relations require intricate negotiations that often prolong internationalization progress.

This study incorporates managerial ties and born global orientation as contingent factors in fixing the theoretic interlock between standardization advertising strategy and export firm performance.

This study aims to examine the efforts of two universities in Taiwan, particularly their engagement in coastal rural communities, and provides insights into the substantial contributions of University Social Responsibility (USR) projects toward achieving the sustainable development goals (SDGs) in rural settings. The objective of this research is to analyze the outcomes of these case projects on the SDGs and, consequently, to propose a theoretical model aimed at enhancing student participation in achieving SDGs through USR programs.

This study adapted the methodology comprising SDGs contribution analysis and participant observation. The SDGs contribution analysis unfolds in three steps. First, the authors conducted evaluation of the 2030 Agenda for Sustainable Development. This step involved a thorough analysis of all 17 SDGs and their respective targets to establish a foundational understanding. Second, analyzed the outcomes of the case projects to examine the specific contributions of case projects toward achieving the SDGs. Third, the information from the preceding steps is analyzed to determine the extent of the case projects’ contributions to the SDGs.

The study proposes a theoretical model to enhance student engagement in achieving SDGs, emphasizing student empowerment, community partnership and robust evaluation methods aligned with SDGs and social impacts. This model could offer guidance for higher education institutions (HEIs) globally on utilizing USR programs to contribute to the SDGs, while simultaneously enriching student learning experiences through practical engagement and empowerment.

This model can be enhanced and validated by applying more rigorous scientific methods. For instance, conducting surveys on students and community participants of events and activities, utilizing a statistically rigorous approach such as pre-post testing, can analyze the effectiveness of these programs on various SDG-related variables (e.g. awareness of SDGs). Additionally, exploring the relationships between the tested variables can be a potential research direction. For instance, examining whether community engagement can positively increase the social impacts of USR projects, or whether student empowerment can enhance community capacity building, are important issues worthy of discovery.

This model emphasizes the pivotal role of student empowerment, advocating for an educational approach that not only enhances students’ proficiency in community development but also potentially shapes their career trajectories, as evidenced by the case projects examined in this study. In essence, this model offers HEIs a structured pathway to enrich student engagement in realizing SDGs through USR initiatives. It posits student empowerment as the foundational element, fostering a learning environment where students gain valuable skills and insights into community development, potentially guiding their future professional endeavors. This research provides practical direction for those HEIs implementing USR projects, which will increase the positive impacts brought by HEIs, especially for the students and local community.

To the best of the authors’ knowledge, no previous studies have proposed a theoretical model specifically designed to engage students in achieving SDGs through USR programs in a rural context. The significance of this study lies in its potential to serve as a guide for higher education institutions globally, enabling them to effectively leverage USR programs to contribute toward SDGs. This makes the study an invaluable resource for researchers, policymakers and educators who are committed to fostering sustainability.

The purpose of this paper is to unveil the efficacy of coaching leadership within Chinese organizations and bolster employees’ work engagement.

The sample data were collected through employing the questionnaire method. The participants consisted of 234 employees and 53 supervisors in Chinese enterprises. Hypothesis testing was conducted using multiple regression analysis and the Bootstrap method.

The coaching leadership exhibited a positive association with employees’ work engagement, psychological safety and self-efficacy. It was observed that employees’ psychological safety and self-efficacy played a dual-mediation role between coaching leadership and work engagement. Additionally, employees with power distance orientation (POD) amplified the positive effects of coaching leadership on psychological safety and self-efficacy.

This study contributes to the literature on coaching leadership and work engagement by elucidating their direct influence, as well as the dual-mediating roles of psychological safety and self-efficacy. Besides, our findings underscore the moderating effect of POD in amplifying the impacts of coaching leadership. However, the nonlongitudinal survey design adopted by our study should be noted for its potential limitations in establishing causality.

The findings demonstrate that coaching leadership, psychological safety and self-efficacy play a crucial role in fostering work engagement. Employees with higher POD are more likely to benefit from coaching leaders.

This study contributes to coaching leadership literature and provides insights into how and when coaching leadership affects work engagement in Chinese organizations.

This study aims to analyze the firm- and country-related determinants and consequences on the firm value of the non-carbon-related environmental goals of the EU Taxonomy Regulation and the new European Sustainability Reporting Standards. In contrast to prior research on either total environmental or explicit carbon proxies, this work focuses on emissions, biodiversity, resource use/circular economy and water-related measures.

Based on legitimacy theory, a structured literature review drawing from 80 peer-reviewed empirical-quantitative studies was presented. As the primary contributors to environmental subitems, the results related to corporate and country governance and financial and sustainability determinants were highlighted. In alignment with the business case argument, the influence of environmental outputs on accounting- and market-based financial performance and other relevant firm proxies was focused.

Most included variables show rather inclusive significant results. However, the results clearly suggest that board gender diversity has a positive impact on environmental outputs, particularly in relation to emissions reductions and resource use efficiency/circular economy performance.

This study mainly contributes to the growing literature on corporate environmental reporting and performance. Future research should analyze related subpillars in more detail and the impact of sustainable corporate governance on these dimensions.

To the best of the author’s knowledge, this is the first empirical study on environmental performance and reporting based on the environmental topics of the EU Taxonomy Regulation.