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The purpose of this study was to develop and test a research model that explored leader psychological capital (LPsyCap) as a predictor of follower creative performance (FCRP). The model also investigated follower job crafting (FJC) and follower knowledge collecting (FKC) and follower knowledge donating (FKD) behaviors as the multiple mediators of the trickle-down effect of LPsyCap on FCRP in a sequential manner.

Data were obtained from hotel employees in Korea. The hypotheses were tested using structural equation modeling with the user-defined estimands function.

LPsyCap boosted employees’ FCRP. FJC and FKC behaviors mediated the trickle-down effect of LPsyCap on FCRP in a sequential manner. As predicted, FKC behavior parallelly mediated the effect of FJC on FCRP.

Hotel firms should boost a workplace that would encourage employees to redefine and redesign their jobs. To achieve this, the presence of structural (e.g. learning new things in the workplace) and social (e.g. supervisor coaching) job resources and challenging job demands (e.g. willingly taking on additional tasks) would pay dividends.

This paper is one of its kind focusing on unexplored parallel and sequential multiple mediation effects that highlight FJC and FKC as the two potential mediators in the association between LPsyCap and FCRP.

Through the “Going Digital Initiative,” the Ghanaian government has introduced policies that aim at improving the information and communication technology (ICT) infrastructure of the country. These ICT policies have benefited numerous sectors of the Ghanaian economy. In logistics management, ICT has impacted drone medical delivery in the healthcare and maritime sectors. However, the importance of ICT is not realized in the motorcycle goods transport (MGT) industry, regardless of its popularity and high economic dependency. Second, all research on motorcycles is focused on diverse social concerns, and no study has attempted to analyze ICT implementation for MGT operations. This is a significant gap in logistics management. Hence, the study aimed to investigate the impact of ICT on Ghana's MGT industry empirically.

The study adopts a two-phase data collection approach to collect the data. The authors use partial least square structural equation modeling to analyze the study's measurement and structural assessment model.

ICT positively impacts MGT and the drivers considered. The drivers positively influence MGT. The study further analyzes novel results on the relationships between the drivers and their mediating roles in enhancing MGT performance.

The study's originality is the extension of ICT adoption and usage in MGT. The lack of literature on the importance of ICT for MGT services makes this study the primary source of literature, and the relationships investigated are unique as the research area is unexplored.

The synchronous interactivity in the metaverse afforded copresence, the feeling of being together with other users. Applying the flow theory, this study examines how copresence improves the subjective well-being of users through flow and escapism.

An online self-administered survey of 212 US adults who are currently using metaverse platforms is conducted. The collected data are analyzed by SPSS 27.0 for descriptive statistics and reliability analysis. AMOS 27.0 is employed for the confirmatory factor analysis. The bootstrapping analysis via the PROCESS Macro is used to analyze the mediating and moderating effects.

The results find that copresence, flow, and escapism improve the subjective well-being of metaverse users. A serial mediation analysis reveals that the influence of copresence on subjective well-being is mediated by flow and escapism. Additionally, the impact of escapism on subjective well-being is moderated by self-expansion.

The findings contribute to the metaverse literature and the industry by highlighting the role of copresence in improving user experience and subjective well-being.

This study aims to investigate the effects of smart tourism technology experience (STTE) on tourist satisfaction and happiness in Bordeaux, with a focus on understanding the mediating role of self-gratification. By examining these relationships, the study seeks to provide insights into how smart tourism technologies can enhance tourist experiences.

The study uses partial least squares-structural equation modeling (PLS-SEM) to analyze data collected from 380 tourists who visited Bordeaux. The measurement model assesses reliability and validity, while the structural model evaluates the proposed hypotheses and the mediation effects of self-gratification.

The results confirm that STTE positively impacts tourist satisfaction, with accessibility, informativeness and personalization significantly enhancing tourist satisfaction, while interactivity does not. Tourist satisfaction, in turn, positively affects tourist happiness. Furthermore, self-gratification partially mediates the relationship between tourist satisfaction and happiness, highlighting its importance in the smart tourism context.

This research extends the understanding of STTE by demonstrating its effects on tourist satisfaction and happiness. It introduces the mediating role of self-gratification, providing a novel perspective on how personalized smart tourism experiences contribute to overall tourist happiness.

This study aims to investigate value co-creation, its antecedents (i.e. customer delight and place identity) and the consequences (i.e. satisfaction and revisit intention) at eco-hotels concerning sustainable practices.

Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data collected from 562 guests surveyed online who had stayed and contributed to sustainable practices through interaction and collaboration with eco-hotels.

The results revealed that customer delight and place identity are critical antecedents of value co-creation, significantly influencing guests' intention to revisit. Further, value co-creation significantly influences satisfaction and revisits intention. Satisfaction significantly influenced revisit intentions. Moreover, customer delight was the most critical factor affecting value co-creation, followed by the path between value co-creation and satisfaction. Finally, the results confirmed the mediating role of value co-creation and satisfaction.

This research can support hotel managers in comprehending the motivating factors and outcomes of value co-creation among guests, allowing efficient hotel strategies to be planned and implemented. Managers should prioritize customer delight and place identity to maintain guests' involvement in value co-creation, resulting in satisfaction and a willingness to return.

This study contributes to the literature by tackling the scarcity of research on the significance of value co-creation, its drivers and outcomes at eco-hotels concerning sustainable practices within an emerging market context.

This paper aims to provide a critical reflection on the management of experiences in hospitality and tourism (H&T). The paper investigates the evolution of experience research, while discussing the emerging challenges and opportunities for management.

The study adopts a critical and reflective approach for providing future directions of experience research. Three major fields are identified to discuss advances, challenges and opportunities in experience research: conceptualization and dimensions of experiences; relational network for experience management; and theoretical and methodological approaches.

The paper proposes a mindset shift to guide experience research, but also to redirect and research thinking and managerial practices about the role of experiences in the economy and society. This proposed humanized perspective to experience research and management is deemed important given the contemporary socio-economic, environmental and technological challenges of the environment.

This paper identifies a set of theoretical and managerial implications to help scholars and professionals alike to implement the humanized perspective to experience research. Implications relate to conceptualization, relational network and theoretical and methodological approaches in experience research.

This study critically assesses research challenges and opportunities around customer experience management (CEM) in H&T contexts. This reflective and critical look at customer experiences not only informs future research for advancing knowledge and practice but also proposes a mindset shift about the role and nature of CEM in the society and economy.

Hedonic shopping is a growing phenomenon designed to enhance gamers’ virtual content shopping experience with increasing economic significance, yet limited attention has been dedicated to this area. Our study explores key hedonic motivations of virtual content shopping and how hedonic shopping value builds trust (trust in virtual content and trust in virtual retailers) that enhances the intention to pay for premium.

This research adopts a mixed-methods approach. Study 1 is qualitative; 19 semi-structured interviews were conducted with virtual game retail platform users. Study 2, based on the literature review and qualitative inquiry findings (obtained from Study 1), proposes a research model empirically validated by analyzing survey data administered to 437 online gamers from gaming zones, cybercafés and e-sports centers.

The results show that in-game shopping-related adventure-, gratification-, role- and idea-seeking motivations significantly influence gamers' perceived hedonic shopping value. In turn, perceived shopping value has a significant indirect effect through trust on gamers’ intention to pay for premium.

This research contributes to gaming literature by offering a comprehensive model that elucidates the role of hedonic shopping in increasing gamers’ trust, which explains purchase behavior in the virtual game retail context. The findings deepen the understanding of the game retailing landscape and offer strategies to build gamers’ trust, increase premium usage and retain existing spenders.

The purpose of this study was to analyze, through a sequential model, the underlying mechanisms connecting transformational leadership with employee task performance. Specifically, it examined the causal chain of transformational leadership-job characteristics (task variety and task significance)-job engagement-task performance.

The hypotheses were tested on a sample of 320 employees and their supervisors from Spanish young technology and knowledge-intensive small and medium-sized enterprises (SMEs) using structural equations.

The results show that the effect of transformational leadership on task performance (assessed by supervisors) occurs sequentially via task significance and job engagement. Additionally, job engagement mediates the relationship between task variety and task performance.

Findings highlight the relevance for supervisors to employ a transformational leadership style that leads employees directly and indirectly, through task significance, to be more engaged and achieve higher task performance. They also emphasize the importance of proper job design that allows employees to be fully invested in their job performance.

Despite the importance of leadership and employee performance for the survival and growth of these firms, the study of these relationships is largely unexplored. This study proposes and tests a serial model in which supervisor transformational leadership is linked to employee task performance through two sequential mediators: job characteristics (task variety and task significance) and job engagement.

The research frontier concerning the relationship between Industry 4.0 (I4.0) and supply chain performance (SCP) in manufacturing is currently lacking in a comprehensive examination. This study examines the relationship between I4.0 adoption and SCP. Additionally, the study examines the mediating effects of supply chain traceability (SCT), supply chain visibility (SCV) and supply chain resilience (SCR), both individually and sequentially.

The data were garnered from 510 managers of manufacturing firms, and PLS-SEM was applied to examine the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP.

Results indicate a statistically significant direct relationship between I4.0 adoption and SCP. Furthermore, SCT mediates the impact of I4.0 on SCP. Similarly, results showed that SCV mediates the impact of I4.0 on SCP and SCR mediates the impact of I4.0 on SCP. Moreover, the relation between I4.0 adoption and SCP is substantially influenced by the sequential effects of SCT, SCV and SCR. The study provides novel empirical evidence by investigating the sequential mediation roles of SCT, SCV and SCR between I4.0 adoption and SCP through the lens of the resource-based view (RBV) perspective.

Policymakers must prioritize the promotion of I4.0 integration to strengthen the performance of manufacturing supply chains (SC). This can be achieved by improving traceability, visibility and resilience within these SCs.

The originality of this study lies in its use of the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP under the theoretical lens of RBV.

Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise drones for parcel delivery however, the intention to use drones among online shoppers was not fully explored. The study attempts to investigate the factors influencing the intention to use drones for last-mile delivery.

A total of 292 data were gathered via an online survey among online shoppers applying a snowball sampling method. Since the study operationalised the measures as composites, a combination of reflective and formative measurement, and the study focusses on predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed based on the stimulus-organism-response model.

The analysis found that all the direct hypotheses were found supported. Moreover, Green support, green desire and pro-environmental behaviour positively and sequentially mediated future orientation and intention, whereas technology anxiety and perceived safety moderated the relationship between pro-environmental behaviour and intention.

The respondents only limit to the online shoppers in Malaysia which based on purposive sampling method, thus the findings cannot be generalized to another countries.

Besides enriching the literature on drone studies, the findings provided practical insights to online platforms and drone operators to develop an effective strategy to encourage online shoppers to shift from conventional delivery to drone delivery.

The study developed a new model for drone delivery studies using the S-O-R model in introducing orientation towards the future and green support as the stimulus, green desire as an organism and pro-environmental behaviour and usage intention as a response. The study introduced multiple sequential mediators, also contributing to the S-O-R model to predict online shoppers' behaviour towards drones as a tool for last-mile delivery. Another important contribution, technology anxiety and perceived safety were confirmed to have a moderation effect for the relationship between pro-environmental behaviour and intention to use drones for last-mile delivery.