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The existence of a wedding organizer plays an essential role in realizing the dream wedding of the bride and groom and the progression of a family-centred structure. The wedding organizer industry is one of the business sectors that experienced a significant impact during the COVID-19 pandemic due to various policies restricting mobility and interaction. This study aims to answer research questions: What challenges are experienced by wedding organizers in the context of COVID-19? What factors drive entrepreneurial resilience for family business continuity in the face of the COVID-19 pandemic?

This study uses a qualitative research design through semi-structured in-depth interviews with eight wedding organizers in Indonesia with questions centred around the context of the family in the event.

This study found several challenges faced by wedding organizers, including personal barriers and environmental challenges due to the COVID-19 pandemic. The four drivers of entrepreneurial resilience of wedding organizers in dealing with the COVID-19 crisis include entrepreneurial motivations, entrepreneurial characteristics, firm strategies, and environmental support. These factors create a positive interaction effect for the continuity of the wedding event organizers.

This study contributes to the literature by providing valuable insights into the broader entrepreneurial resilience issue and offering practical recommendations for wedding organizers and other entrepreneurs facing similar challenges. This study has both academic and practical implications in providing event management guidance and future avenues of research in this field.

Purpose: Nikoletta Taylor and Close, (2022) asserts that a skill gap analysis can be used to determine the lacking skill and carry out recruitment based on that gap. It goes without saying that for a student, that would be their first employment, and with internships, there is no way to experience all aspects of the working world.

Need for This Study: When it comes to the recruiter’s expectations and the applicant’s skills, specifically among students, a gap still exists, leading to a need for practical exposure for applicants.

Study Design/Methodology/Approach: A quantitative study was adopted. A questionnaire was prepared with constructs and variables from the review and a total of 403 responses was collected from reputed institutions in Tamil Nadu.

Findings: This study reveals that skill development is needed; it is found that experiential learning through the gamification process is a suitable learning strategy. The experiential learning factors supporting skill development are self-efficacy, outcome expectation, interest, choice actions, and performance, followed by review, feedback, and continuous improvement.

Originality/Value: Learning all these factors through the gamification process would give students practical exposure to real-time scenarios of the corporate world. The proposed model gives students experience through gamification and learning activities.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.

The purpose of this paper is to examine the hard and soft measures of service quality and visitors' satisfaction, which ultimately contribute to visitor loyalty to the destination, specifically in the context of the Borneo Cultural Festival (BCF) in Sibu, Sarawak (Malaysia).

The study uses a quantitative research approach with 427 valid responses from domestic and international tourists of BCF and employs the cognitive-affective-conative theory to examine how the festival impacts visitor loyalty.

The findings indicate that both hard and soft measures significantly contribute to the service quality and visitor satisfaction at the BCF. Additionally, service quality and visitor satisfaction were found to positively influence destination loyalty, while the relationship between legibility and visitor satisfaction was not significant.

The findings encourage the ministry and event organisers to adopt a destination event strategy that positions Sibu as an attractive event destination capable of attracting domestic and international tourists.

The findings of this study contribute to the existing body of knowledge on event tourism and destination loyalty by applying the cognitive-affective-conative theory. This study marks the first of its kind, analysing both the tangible (hard) and intangible (soft) measures of service quality and their impact on visitor satisfaction, ultimately influencing visitor loyalty to the destination, particularly in the context of the BCF in Sibu, Sarawak.

Following the increasing trend of artificial intelligence (AI) research in hospitality literature, this critical reflection paper aims to identify AI-assisted mindfulness as a critical yet under-investigated issue and to contribute feasible directions for future research.

The authors first conceptualize a framework explaining the effects of mindfulness design in AI interventions on improving human mindfulness. The authors then identify opportunities for interventions in AI-assisted mindfulness for the tourism, hospitality and events industries. Finally, the authors propose potential themes for AI-assisted mindfulness research.

This study contributes three major conceptual works. First, we conceptualize a framework of AI-assisted mindfulness, showcasing that the scope of AI-assisted mindfulness spans from AI interventions to state mindfulness and then to trait mindfulness. Second, the authors offer two approaches to strategic thinking, one from mindfulness (i.e. mindfulness-focused niche markets and activities) and one from AI applications (i.e. AI-facilitated devices and platforms), to identify opportunities for AI-assisted mindfulness interventions. Third, for both management- and marketing-oriented AI-assisted mindfulness research, the authors propose 18 themes.

This critical reflection paper offers directions for future knowledge creation in AI-assisted mindfulness in the tourism, hospitality and events industries.

To the best of the authors’ knowledge, this critical reflection paper serves as the first in hospitality and tourism literature to systematically propose the research issue of AI-assisted mindfulness, offering directions and themes for future research.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

Security education, training and awareness (SETA) programs are the key to addressing “people problems” in information systems (IS) security. Contrary to studies using conventional methods, the present study leveraged an “event” lens and dimensionalized employees' perceptions into three sub-dimensions: perceived novelty, perceived disruption and perceived criticality. Moreover, this research went a step further by examining how pedagogical and communication approaches to a SETA program affect employees' perceptions of the program. This study then investigated whether – and if so, how – these approaches impact employees' perceptions of the SETA program and their subsequent commitment to it.

Utilizing a factorial-based scenario survey, this study empirically tested a model of the above relationships via covariance-based structural equation modeling.

The results of this research showed that pedagogical approaches were more effective than communication approaches and that employees' perceptions of the SETA program accounted for a large variance in their commitment to SETA.

First, this research deepens understanding of the protection of information assets by elaborating on the different approaches that organizations can take to encourage employees' commitment to SETA. Second, the study enriches the SETA literature by theorizing a SETA program as an organizational “event”, which represents a major shift from the conventional approach. Third, the study adds to the theoretical knowledge of the event lens by extending it to the SETA context and investigating the relationship among three event strength components.

The aim of this paper is to explore the possibility of using the Define-Measure-Analyze-Improve-Control (DMAIC) cycle, process mining (PM) and multi-criteria decision methods in an integrated way so that these three elements combined result in a methodology called the Agile DMAIC cycle, which brings more agility and reliability in the execution of the Six Sigma process.

The approach taken by the authors in this study was to analyze the studies arising from this union of concepts and to focus on using PM tools where appropriate to accelerate the DMAIC cycle by improving the first two steps, and to test using the AHP as a decision-making process, to bring more excellent reliability in the definition of indicators.

It was indicated that there was a gain with acquiring indicators and process maps generated by PM. And through the AHP, there was a greater accuracy in determining the importance of the indicators.

Through the results and findings of this study, more organizations can understand the potential of integrating Six Sigma and PM. It was just developed for the first two steps of the DMAIC cycle, and it is also a replicable method for any Six Sigma project where data acquisition through mining is possible.

The authors develop a fully applicable and understandable methodology which can be replicated in other settings and expanded in future research.

The purpose of the present study was to investigate the interrelationships among the dimensions of sport event experience, event satisfaction and event behavioral intentions.

The sample was comprised of 186 individuals who actively participated in a mass participation sport event. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the relationships among the latent constructs.

The results indicated that the dimensions of sport event experience predicted 55% of the variance of event satisfaction and 63% of the variance of event behavioral intentions was predicted by sport event experience dimensions and event satisfaction. Specifically, the sensory, affective and relational dimensions of experience sought to have a statistically significant and positive association with event satisfaction, while event satisfaction and the relational dimension of experience were found to have a statistically significant and positive correlation with event behavioral intentions. In addition, event satisfaction was found to mediate the relationships between sensory, affective and relational experiences and event behavioral intentions.

The present study is one of the first that explores the relationships among sport event experience’s dimensions, event satisfaction and positive behavioral intentions in the context of sport event participation.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.