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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.

This study examined the effects of organizational justice and citizen respect to support for democratic policing through self-legitimacy among South Korean police officers.

The authors used survey data from 467 South Korean police officers in 2022. Structural equation model analysis was used to examine relationships between each variable.

This study found a positive relationship between organizational justice and self-assessed legitimacy. Also, citizen respect had a positive relationship with both police officers' self-assessed legitimacy and audience legitimacy. Self-assessed legitimacy had a significant effect on support for democratic policing, while perceived-audience legitimacy did not have a significant effect on support for democratic policing.

The current study provides evidence that self-legitimacy affects supporting democratic policing in a non-Western democracy. Additionally, to the best of our knowledge, this study is the first to examine the role of police self-legitimacy as a link between organizational justice and citizen respect and the intended behaviors of police officers toward citizens.

This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust.

The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses.

The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits.

This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.

With the growing concern for environmental and sustainability issues, especially in the aftermath of the coronavirus disease 2019 (COVID-19) pandemic, organizations feel compelled to pursue green sustainability in their operations. In this regard, the active involvement of employees in pro-environmental behaviors (PEBs) is crucial for achieving organizational environmental sustainability goals (Saeed et al., 2019). To shed light on this important issue, this study aims to investigate the impact of interacting/engaging environmental corporate social responsibility (CSR) communication strategy on employees' PEBs through the mediating effects of communal relationship and employee empowerment.

A total of 443 full-time USA employees working across various industries participated in an online survey.

The interacting/engaging environmental CSR communication strategy fosters employees' perceived communal relationship with their organizations and empowers them to support their organization's environmental initiatives, which, in turn, positively influences employees' PEBs at work.

This study advances CSR and internal communication literature through the lens of relationship management and self-determination theories. The findings theoretically suggest the effectiveness of the interacting/engaging environmental CSR communication strategy in nurturing favorable employee–organization relationships (EORs), employee empowerment and PEBs at work. The practical implications of CSR communication are also elaborated.

It is unclear what constitutes the tourism live streaming (TLS) servicescape and how it affects users' travel intention (TI). The study aims to explore the composition of the TLS servicescape, the influence mechanism of the TLS servicescape on users' TI and the formation of users' TI.

Based on stimulus organism response theory (SOR), we develop a mediation model to explore the influence of TLS servicescape on users' TI. This study collected data from 432 Chinese TLS users through an online questionnaire, and we used the structural equation model and the SPSS PROCESS macro to test the proposed model. In addition, we tested the variable relationships using fuzzy-set qualitative comparative analysis (fsQCA).

TLS servicescape is a second-order variable that can be categorized into physical element (PE), social element (SOE), symbolic element (SYE) and natural element (NE). TLS servicescape influences TI by affecting social presence (SP) and customer engagement (CE). The fsQCA reveals seven combinations of PE, SOE, SYE, NE, SP and CE that form a high TI for TLS users.

Using multiple data analysis methods, the study emphasizes the significance of the TLS servicescape for TLS. It explores how to evoke users' TI in TLS and provides a reference for TLS marketing.

“Metaverse” has become a buzzword in the Chinese stock market. However, it remains unclear whether a firm's metaverse-related announcements will elicit positive stock market reactions. Whether and how stakeholder reactions are influenced by a firm's metaverse-related readiness also needs to be further explored. This study aims to discuss the aforementioned objective.

The authors derived a set of factors based on readiness theory and business ecosystem literature and extend them into the context of the metaverse. The authors used a sample of 642 Chinese listed firms in 2021 to investigate the hypotheses through the event study.

The study’s findings show that metaverse coverage induces a positive stock market reaction, but it is subject to three moderating effects. The authors introduce the novel concepts of IT readiness, ecosystem readiness and digital infrastructure readiness as the moderators. Stakeholders perceive metaverse announcements as overhyped, and stock prices do not fluctuate significantly after a metaverse announcement when the listed firms are not ready to embrace the metaverse.

This study is one of the first that introduces the event study method into the metaverse research, and it reveals that different levels of readiness influence stakeholders' evaluations and reactions to corporate metaverse coverage. This provides empirical evidence on metaverse development in China from the stock market's perspective.

This study aims to examine whether and why subsidiary-unit managers’ prior international work experiences across multinational enterprises’ (MNEs) home and host countries impact their subsidiary-unit performance, considering the mediating effect of their advice networks.

A survey on 222 subsidiary-unit managers (154 parent country nationals [PCNs] and 68 host country nationals [HCNs]) of a Korean MNE operating in China, Vietnam, Thailand, Singapore, Hungary and Slovakia was conducted. The authors analyzed the data using partial least square structural equation modeling, multigroup analysis and bootstrapping techniques.

PCN subsidiary managers with more prior international work experience manage better-performing units due to the strength of the manager’s advice networks across local parties. However, for HCN subsidiary managers, this study did not find such mediating roles of the size and strength of their advice networks in the MNE home country.

This study provides novel insights and empirical evidence about the effect of the length of prior international work experience of subsidiary managers on their advice-seeking networks and subsidiary-unit performance. In addition, it draws on and add to social capital theory about how international work experience impacts dealing with local businesses and the relationship with corporate headquarters.

Compared with traditional methods relying on manual teaching or system modeling, data-driven learning methods, such as deep reinforcement learning and imitation learning, show more promising potential to cope with the challenges brought by increasingly complex tasks and environments, which have become the hot research topic in the field of robot skill learning. However, the contradiction between the difficulty of collecting robot–environment interaction data and the low data efficiency causes all these methods to face a serious data dilemma, which has become one of the key issues restricting their development. Therefore, this paper aims to comprehensively sort out and analyze the cause and solutions for the data dilemma in robot skill learning.

First, this review analyzes the causes of the data dilemma based on the classification and comparison of data-driven methods for robot skill learning; Then, the existing methods used to solve the data dilemma are introduced in detail. Finally, this review discusses the remaining open challenges and promising research topics for solving the data dilemma in the future.

This review shows that simulation–reality combination, state representation learning and knowledge sharing are crucial for overcoming the data dilemma of robot skill learning.

To the best of the authors’ knowledge, there are no surveys that systematically and comprehensively sort out and analyze the data dilemma in robot skill learning in the existing literature. It is hoped that this review can be helpful to better address the data dilemma in robot skill learning in the future.

The aim of this study is to investigate how the information needs satisfaction of visual art teachers affects their creativity. Visual art teachers’ information seeking behaviour and specifically the association of information needs satisfaction with creativity has been an understudied area, despite competent information seeking being considered essential for high quality practices of art teachers.

A questionnaire survey was developed addressing the information seeking behaviour of art teachers, informed by Wilson’s model (1981), including visual art teachers’ information needs, information resources, obstacles faced while seeking information and the perceived impact of information needs satisfaction on visual art teachers’ creativity.

The study included 298 visual art teachers in Greece. The results demonstrated that the key information needs of art teachers were mainly related to materials’ properties, techniques for creating artwork and artwork promotion methods. Online information sources were the preferred sources of art information, followed by colleagues, personal collections and visits to galleries and museums. Our study identified lack of time, lack of specialized libraries and copyright, as the main barriers to information seeking.

Information about art plays a substantial role in visual art education, while visual art teachers’ information needs satisfaction positively influences their creative endeavours. There is a need to further explore the digital information needs of visual art teachers.