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This paper explores how sustainability consciousness varies among undergraduate students at a higher education institution in the Republic of Korea. Based on the analyses of survey data, this paper aims to understand the present state and future prospect of education for sustainable development, specifically within higher education in the Republic of Korea.

This study involves analyzing 254 complete responses from undergraduate students at Seoul National University using confirmatory factor analysis. Subsequently, it explores how five variables (gender, grade year, type of college, prior exposure to sustainable development and prior exposure to education for sustainable development) influence the level of sustainability consciousness among these undergraduates.

The goodness-of-fit indices of the adapted sustainability consciousness questionnaire indicate a good fit. The analysis reveals a notable gender-based disparity in sustainability consciousness, with female students exhibiting higher levels than their male counterparts. Additionally, academic progression also affects sustainability consciousness; students in their first and second years show greater awareness compared to those in their third year. Furthermore, the academic discipline of respondents plays a role, as evidenced by students from the College of Education displaying higher sustainability consciousness than those from other colleges.

This research distinguishes itself from prior studies in two key dimensions. First, it offers an analysis of the sustainability consciousness among South Korean undergraduate students, with a particular focus on those who have experienced the COVID-19 pandemic. Second, this study endeavors to establish the validity of sustainability consciousness as a psychological construct, expanding the understanding of its implications and relevance in the context of higher education.

Micro-regeneration can effectively enhance a neighborhood’s commercial vitality and serve as a viable approach to boost economic benefits. However, the small scale of micro-regeneration efforts and the fragmented nature of information currently limit the availability of strong empirical evidence demonstrating its impact on neighborhood commercial vitality. The aim of the study was to examine the link between micro-regeneration and neighborhood commercial vitality, focusing on the average, time-lag, spatial spillover, and spatial heterogeneity effects.

Using the panel data set of 1,755 neighborhoods in Chongqing from 2016 to 2021 as the research sample, the difference-in-differences (DID) method was employed in this study to explore the impact micro-regeneration has on neighborhood commercial vitality.

The results illustrate that: (1) micro-regeneration can promote neighborhood commercial vitality in terms of the number and types of local consumption amenities by 27.76 and 5.89%, respectively, with no time-lag effect; (2) the positive spillovers can exist within the range of 5,000 meters–5,500 meters of regenerated neighborhoods; and (3) the effect of micro-regeneration on neighborhood commercial vitality can be greater in peripheral areas than in core areas of the city.

The findings fill the knowledge gap on the relationship between micro-regeneration and neighborhood commercial vitality. Additionally, the results on the time-lag effect, spatial spillover effects, and spatial heterogeneity provide practical implications that can support the government and private sector in developing temporal and spatial arrangements for micro-regeneration projects.

The purpose of this paper is to investigate the effect of reward redemption programs on donation amount, donation percentage and donation intention in the context of a bank credit card.

A 2 × 2 × 3 experiment is implemented with 1,070 consumers accessing a national US-based sample with a small compensation. The authors use general linear model to test the proposed hypotheses.

The findings show the main effects of reward types, limited-time message and value of reward redemptions on the percentage of donations and overall donation intention to charity. The type of reward (cash/points) is found to interact with the limited-time message and with the value of reward redemptions.

No prior studies have addressed the relationship between credit card redemption rewards and scarcity messages in the donation context. The study contributes to the understanding of the effectiveness of credit card redemption rewards with scarcity message in improving a consumer’s donation intention.

This study examines how users' multidimensional representational fidelity factors affect sociability and cyberself engagement in the Metaverse platform; that is, how they interact with newly defined self-images as their personas in the environments. It investigates how representational fidelity serves platform users to perform social roles and increase their sociability by establishing a new cyberself, thus influencing continuous platform use.

This study surveyed 314 users of the Metaverse platform Horizon, where users can create a virtual agent avatar, meet people in the same online environment in real time, and interact with a sense of three-dimensional immersion. Data were analyzed using partial least squares regression models.

User socialization significantly influenced the intention to use the Metaverse platform. Representational fidelity was a crucial variable for sociability, and activity representational fidelity was the most influential aspect among the four other elements. Platforms should consider how to enable users to create and use activities that faithfully represent their personas.

The novelty of this study is that it introduces representational fidelity based on representation theory into the context of virtual persona in the Metaverse platform. This study extended representational fidelity to the socialization perspective by utilizing the integrated model of user satisfaction and the technology acceptance model. Through the results, this study emphasized that users' sociability significantly influences their intention to use the Metaverse platform. Finally, this study provides a feasible guideline on how practitioners could design and strengthen their platforms so that users can represent their cyberselves faithfully.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This study examines the intricate interplay of blockchain, public governance and the circular economy (CE), aiming to assess the potential of blockchain technology (BT) in addressing challenges associated with the adoption of CE principles, particularly in the public sector.

Focused on public governance, the research employs in-depth interviews with Finnish policymakers actively engaged in CE initiatives. Qualitative analysis is applied to derive insights and patterns from the gathered data, providing a nuanced understanding of blockchain’s transformative role.

The study uncovers key dimensions for leveraging blockchain in the CE within the public sector. Notable findings include the significance of contextual transparency, the use of incentivization as a regulatory tool, the role of standardization through strategic autonomy and the importance of public engagement and participation.

This research contributes a unique framework that illuminates the transformative potential of blockchain within the CE, emphasizing its relevance to public governance. The identified dimensions offer practical insights for policymakers and practitioners seeking to navigate the complexities of circular transitions in the public sector.

The purpose of the study is to investigate the effect of terminal and instrumental values on the attitude and brand desirability for upcycled luxury designer facemasks, in relation with generic luxury designer facemasks.

A quantitative approach was adopted in this study, and data were collected via an online consumer panel from 390 existing Australian luxury consumers, aged 18 and above. Stimuli that represented the two upcycling conditions (remnants and past collections) and a control condition (generic product) from an actual Burberry-branded facemask were designed for the study. The collected data were analysed using the least partial square and multi-group analysis of the structural equation model

The findings indicate that consumers do not perceive Burberry facemasks made from upcycled remnant materials and previous collections have superior aesthetic or self-expressive benefits to them when compared to the generic Burberry masks. In the same vein, both upcycled categories do not provide superior instrumental values through economic benefits or safety when compared to the generic Burberry masks. Hence, terminal and instrumental values had no influence on the attitude and brand desirability for upcycled luxury designer facemasks, in relation with generic luxury designer facemasks.

The results indicate that strategies will have to be better designed to have a balance between safety features (as opposed to fashion) and luxury desirability of the brand to better capture the market for difference consumer values for the facemasks. As this is a relatively low involvement product, the pricing strategies must be re-evaluated.

This study offers empirical support for the proposition that different upcycling methods in the name of sustainable practices may have different functions for different consumer values in luxury marketing implementations. For the choice of facemasks during the COVID-19 pandemic, it provides empirical evidence for consumer choice for the different types and how it can be used to elevate luxury brand desirability.

The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.

An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (N = 244).

According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.

This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.

This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus on the mediating roles of job demands and psychological conditions.

A survey was conducted among 296 frontline employees in the food service industry, and the data were analyzed using structural equation modeling (SEM) in AMOS ver26.

The results showed that HCHRM practices do not directly affect employee well-being. However, psychological conditions play a crucial role in mediating the relationship between HCHRM practices and employee well-being. Specifically, the psychological conditions of meaningfulness and availability significantly predicted work engagement and mediated the relationship between HCHRM practices and employee well-being. On the other hand, job demands did not mediate the relationship between HCHRM practices and employee well-being.

Although the study addressed common method variance, the cross-sectional nature of the data limits the ability to infer causal relationships among variables. Future studies could adopt a longitudinal research design to investigate the causal relationships among variables. In addition, the study recommends that managers in the food service industry adopt HCHRM practices and provide necessary psychological conditions to promote employee well-being.

This study extends the current literature on HCHRM and employee well-being in the food service industry by providing new insights into the mediating role of psychological conditions. The findings suggest that HCHRM practices can indirectly promote employee well-being through the enhancement of psychological conditions. These insights could help managers in the food service industry to design effective HRM strategies that foster employee well-being and reduce turnover.

Engaged employees assure organizational competitiveness and sustainability. The purpose of this study is to explore the relationship between job resources and employee turnover intentions, with employee engagement as a mediating variable.

Data were collected from 934 employees of eight wholly-owned pharmaceutical industries. The proposed model and hypotheses were evaluated using structural equation modeling. Construct reliability and validity was established through confirmatory factor analysis.

Data supported the hypothesized relationship. The results show that job autonomy and employee engagement were significantly associated. Supervisory support and employee engagement were significantly associated. However, performance feedback and employee engagement were nonsignificantly associated. Employee engagement had a significant influence on employee turnover intentions. The results further show that employee engagement mediates the association between job resources and employee turnover intentions.

The generalizability of the findings will be constrained due to the research’s pharmaceutical industry focus and cross-sectional data.

The study’s findings will serve as valuable pointers for stakeholders and decision-makers in the pharmacuetical industry to develop a proactive and well-articulated employee engagement intervention to ensure organizational effectiveness, innovativeness and competitiveness.

By empirically demonstrating that employee engagement mediates the nexus of job resources and employee turnover intentions, the study adds to the corpus of literature.