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Modular capacity units enable rapid reconfiguration, providing tactical flexibility to efficiently meet customer demand during disruptions and ensuring sustainability. Moreover, the Physical Internet (PI) enhances the potential of modular capacity in addressing efficiency, sustainability, and resilience challenges. To evaluate the sustainability and resilience advantages of the PI-enabled reconfigurable modular system (PI-M system), this paper studies a PI-enabled sustainable and resilient production-routing problem with modular capacity.

We develop a multi-objective optimization model to assess the sustainability and resilience benefits of combining PI and modular capacity in a chemical industry case study. A hybrid solution approach, combining the augmented e-constraint method, construction heuristic, and hybrid adaptive large neighborhood search, is developed.

The experimental results reveal that the proposed solution approach is capable of obtaining better solutions than the Gurobi and the existing heuristic in a shorter running time. Moreover, compared with the traditional system, the PI only and traditional with modular capacity systems, PI-M system has significant advantages in both sustainability and resilience.

To the best of our knowledge, this study is the first to integrate the PI and modular capacity and investigate sustainability and resilience in the production-routing problem.

This study aims to examine the impact of non-fungible tokens (NFTs’) characteristics on Chinese consumers’ purchase intention towards luxury fashion physical products. It also investigates the mediating role of perceived hedonic value and moderating role of perceived NFT–physical product fit during the buying process.

A conceptual model combining Stimuli–Organism–Response Model and Theory of Consumption Value was established. A purposive sampling method was adopted to collect data from luxury fashion consumers aged 21–41 who lived in four Tier 1 cities in China. Structural equation modelling and SmartPLS 4.0 were utilized to analyse the 304 valid questionnaires collected.

The study’s findings indicate that luxury fashion NFTs with four characteristics (NFT scarcity, NFT exclusivity, NFT design aesthetic and NFT novelty) affect Chinese consumers’ purchase intention towards luxury fashion physical products positively, with perceived hedonic value mediating these relationships. Further, perceived NFT–physical product fit moderates the relationship between perceived hedonic value and purchase intention.

This study bridges a gap in investigating the interplay between NFTs as intangible collectibles and tangible products, by stressing the significant role played by NFTs in influencing the purchase intention of luxury fashion products. This paper contributes to an understanding of consumers’ psychological responses and behaviours towards NFTs, providing a new perspective in the study of luxury fashion NFTs in the context of marketing strategy and consumption.

This research investigates the effect of festival attributes such as music quality, atmosphere and place on music festival visitors' behavioural intentions, particularly focusing on how visitors’ satisfaction and their subjective well-being mediate these relationships.

This research was designed as quantitative research to reveal the relationships between music quality, place and atmosphere with visitors' behavioural intentions. Structural equation modelling was used to test the relationships between the constructs using data from 256 festival attendees in Edirne.

The results reveal that perceived music quality and atmosphere significantly enhance visitors’ satisfaction, which in turn positively impacts word-of-mouth intention and subjective well-being. Moreover, subjective well-being positively and significantly affects visitors' revisit intentions. Finally, visitors’ satisfaction mediates the relationship between perceived music quality and word-of-mouth intention.

It is one of the first studies to investigate the mediating effects of visitor satisfaction and subjective well-being on the relationships between perceived music quality, atmosphere, place and the behavioural intentions of music festival attendees. Furthermore, the present study provides not only empirical support for the theoretical frameworks but also offers practical insights for festival organizers on enhancing visitor experiences to improve behavioural outcomes.

To propound a broadened perspective on emotional labor management by exploring mitigatory approaches that could be pre-emptively deployed prior to actual episodic experiences of emotional dissonance and their associated negative consequences (e.g. burnout). At present, the management of emotional labor appears to skew toward reactive measures, such as deploying employee assistance programs (EAPs) to assist overwhelmed employees in coping better with their emotional demands, reducing job-related emotional demands or a combination of both.

Intricate processes of emotion emergence and established literature on emotion regulation are considered. By conceptualizing emotion emergence as a process entailing situation, attention, appraisal and response, current efforts can be seen as primarily acting upon the late stages of this process. General emotion regulation strategies that act upon more upstream processes are then considered and applied to the specific context of emotional labor.

Pre-emptive steps could be taken from the early stages of job selection as well as personnel selection and assessment through systematic and concerted efforts in identifying job-related emotional demands (e.g. specific display rules, frequency and intensity). Formal job descriptions could then reflect these demands to better facilitate self-selection processes. Additionally, considering these identified parameters as personnel selection and assessment criteria could further enhance person-job fit in terms of emotional congruency. For current hires, pre-emptive steps could also be taken to subliminally modulate their emotional emergence trajectory toward more job-congruent emotions. Collectively, these steps may facilitate the pre-emptive reduction of emotionally dissonant work episodes and bear substantive potential to be deployed synergistically with current, more reactive measures.

This paper offers a broadened perspective on emotional labor management. Through considering intricate processes of emotion emergence and established literature on emotion regulation, a pre-emptive perspective toward managing work emotions and emotional labor is propounded. It is believed that the synergistic incorporation of these pre-emptive management approaches with current strategies (e.g. reducing emotional demands, EAPs, etc.) would holistically allow for greater amelioration of this debilitating issue. Finally, it is hoped that this paper could serve as a primer for future research and discourses to be conducted, such that our arsenal available for combating emotional labor could be substantively expanded to holistically target all stages of the emotion emergence process.

The metaverse is considered an evolution of the Internet, and it engages users with digital content more seamlessly due to its enhanced immersion and diverse applications. The current study examines factors affecting the intention to adopt the metaverse. Existing studies on metaverse were found insufficient in explaining users’ intention to adopt metaverse, for which the companies are investing vast amounts of money for its implementation. The study fills the research gaps in the literature and applies the UTAUT2 (Unified Theory Of Acceptance And Use of Technology) and PAD (Pleasure, Arousal, Dominance) theory in the SOR (Stimulus-Organism-Response) framework. The study proposes a conceptual model by including effort expectancy, hedonic motivation, social influence, security personalization as stimuli, arousal, dominance, pleasure, immersive experience and perceived value as organismic variables and intention to adopt metaverse as the response variable, with gender as a moderator.

The study used purposive non-probability sampling approach and total of 420 responses were collected to examine the model. The partial least squares (PLS) technique is used for data analysis using Smart PLS software.

The study’s findings suggest that social influence and immersive experience have the highest impact on perceived value which affects users’ intention to adopt metaverse. Results indicate that individuals perceive value on using metaverse when it provides enjoyment and fun as well as security. Hence, it is important to ensure not only that individuals feel hedonically motivated but also feel secured and exert less effort to use the metaverse.

The study contributes to the existing literature on metaverse and extends its association with immersive experience and the theories applied. The fundamental qualities of metaverse that contribute to its immersive and enjoyable nature can influence users' behavioral responses. Our research emphasizes the importance of executives acknowledging the development of organismic experience within metaverse.

The insights derived from this study will serve to expand the knowledge of metaverse application developers, offering valuable guidance in incorporating these factors into their development processes. By prominently displaying security measures, metaverse brands can demonstrate their commitment to mitigating risks associated with virtual interactions. This includes clearly communicating the security protocols in place to protect user data and privacy and providing detailed information about security features can build trust and alleviate concerns.

The study highlights how the metaverse features affect individuals toward its adoption intent. Specifically, the study reveals that social influence and security affect the metaverse, further affecting the adoption intent of the metaverse. This has implications for enhancing customer relationships and value cocreation with different stakeholders. The research also recognizes that security measures are necessary for metaverse technology. These reactions could include placing regulations and standards in place to deal with the social and economic effects, making sure that data is collected and used ethically, and giving privacy and security measures priority.

This paper contributes to the body of knowledge as it is the first of its kind to explore and link immersive experience, pleasure and perceived value from the metaverse’s point of view to explore the user’s adoption intention. The study also contributes to the SOR framework with UTAUT2 and PAD theories by applying it to the metaverse context, which is used in limits.

In this paper we explore the gendered ways in which academic staff resistance and compliance is configured in a post-1992 University in England, including the emotions implicated in the navigation of neo-liberalisation and research intensification of their academic institution and its associated disciplinarian mechanisms.

We draw on data from an interview study of a diverse sample of 32 academics of different gender, discipline and academic grade. Analysis informed by a feminist post-structuralist framework of power and discourse explored different forms of academic resistance and compliance; how the embodied academic subject was (re)negotiated within gendered discourses of neo-liberal research excellence and managerialism and the gendered emotions generated in processes of resistance and compliance.

Institutional change and expectations to engage with research performativity generated fear, anxiety and anger. Female staff appeared to actively resist the masculinized research subject performing all hours work and individualism in the context of private and institutional gendered relations and labour. Male staff though actively resisted the feminization of higher education and the neo-liberal instrumentalization of caring and therapeutic cultures and ideologically resisted the surveillance mechanisms of higher education including the REF.

Our work contributes to scholarship problematizing the assumed neutrality of resistance and compliance and highlighting women’s symbolic struggle to (dis)identify with a masculine professional norm. In terms of theorising academic resistance to neo-liberalism and identity construction, further attention should be given to the mobilization and symbolic capital of academics and emotions positioned differently due to their gender and intersecting differences.

Our study addresses a gap in the scholarship of academic resistance and compliance by advancing the understanding of gender inequalities and emotions implicated in the process of resistance and compliance against neo-liberalism.

Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and the growth of the e-commerce industry. Therefore, this study employs the integration of the stimuli–organism–response (SOR) and the task-technology fit (TTF) frameworks to understand the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia.

The study utilised a survey-based research approach to investigate the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia. The data were collected by conducting an online survey targeting individuals aged 18 or above who had prior customer service interaction experience with human service agents but had not yet adopted AI customer service. A sample of 339 respondents was used to evaluate the hypotheses, adopting partial least squares structural equation modelling as a symmetric analytic technique.

The PLS-SEM analysis revealed that social influence and anthropomorphism have a positive direct relationship with emotional trust. Furthermore, communicative competence, technology characteristics and perceived intelligence were positively correlated with TTF. Moreover, emotional trust significantly impacts AI customer service adoption. In addition, AI readiness positively moderates the association between task technology fit and AI customer service adoption.

The study provides insights to individuals, organisations, the government and educational institutions to improve the features of AI customer service and its development in Malaysia.

The originality of this study is found in its adoption of the SOR theory and TTF to understand the factors affecting AI customer service adoption. Additionally, it incorporates moderating variables during the analysis, adding depth to the findings. This approach introduces a new perspective on the factors that impact the adoption of AI customer service and offers valuable insights for practitioners seeking to formulate effective strategies to promote its adoption.

In this paper, we investigate the current conditions as well as possibilities of a better interaction between architects and user–clients in the Belgian single-family housing context. We specifically focus on issues around client learning and knowledge sharing of architectural services.

Following the research through design methodology, we report on a co-design process converging towards a multi-layered journey map tool. We analyze the discussions held between architects and user-clients during “Ideation & Design” workshops that led to this specific tool idea, within a broader co-design process context.

In terms of client learning and knowledge sharing, there is a need for (1) sharing the process knowledge, (2) clarifying responsibilities and missions of both parties and (3) considering different levels of engagement of user-clients. Current ways of interaction around these issues are mostly based on verbal exchanges during meetings and written explanations in contracts. In terms of future expectations, it has been revealed that both parties are in favor of (1) keeping the relationship trustworthy but informal, (2) using visual ways of representing the architectural journey and (3) providing additional “pedagogical” support when needed.

Our work not only discusses current practices regarding client learning and knowledge sharing of architectural services but also highlights the future-oriented aspirations of architects and user-clients. It proposes actionable design criteria and a multi-layered journey map tool to support the relationship between architects and user-clients, both transferable to architectural education.

This study investigates the influence of board gender diversity on policy decisions within the banking sector, with a specific focus on the adoption of environmental risk management policies. Drawing on critical mass theory, we provide empirical evidence demonstrating the positive impact of women directors on the implementation of environmental risk management policies aligned with the equator principles (EP) framework.

We analyze data from 540 banks operating in 34 countries over a ten-year period (2013–2022).

Our findings indicate that banks with at least four women directors on their boards are more likely to adopt such policies. Our results remain statistically significant after controlling for endogeneity issues.

This research advocates for increased female representation on bank boards to foster the adoption of sustainability-focused policies within the banking industry.

We also contribute by providing insights into the role of a diverse board in improving green credit practices among global banks.

Following an interpretivist approach, the authors draw on semi-structured interviews with parents of children with autism spectrum disorder (ASD).

Responding to limited academic advancement, particularly in the context of consumers experiencing vulnerability, the aim is to deepen marketing scholars’ understanding of value co-destruction (VCD) and its under-explored relationship with consumer ill-being.

Three forms of systemic VCD mechanisms emerged: obscuring, gaslighting and siloing. Ill-being comprised material, physical, psychological and social harms, which consumers experienced individually, relationally and collectively due to VCD. Family members’ experiences of ill-being and vulnerability were deepened by service systems’ inability to recognise the individuality of their needs and provide appropriate support.

In line with the interpretivist paradigm, the focus on families of children with ASD, while illuminating, delimits the generalisability of the findings. The authors call for further research on consumer ill-being, VCD and vulnerability in other service and marketing contexts.

The findings highlight the need for service system adaptability to recognise and address unstandardised needs.

Several systemic failures of (public) service systems which manifested as VCD mechanisms are identified.

The overall contribution is the development of a contextually driven characterisation of both VCD and ill-being and a deeper understanding of how these are interrelated. First, VCD revealed itself as a systemic failure to access, provide or integrate resources to meet actors’ needs as manifested by the three mechanisms. Second, the authors characterise ill-being as comprising material, physical, psychological and social harms due to VCD, which are experienced individually, relationally and collectively. Finally, the authors illuminate the nature of vulnerability and delineate the entanglements between vulnerability and ill-being in a collective (e.g. family) context.