Songyu Jiang

In recent years, the concept of sustainable consumption behavior (SCB) is largely introduced and changed continuously to be discussed with industries such as energy sector, agriculture, transportation, sharing economy, and tourism. However, the study of sustainable consumption behavior in the online education industry (SCBOEI) remains a research gap. Thus, this paper aims to identify the significance of sustainable consumption behavior and theoretically conceptualize SCBOEI. This study employs content and text analysis to reconceptualize the major theories that contribute to the research of SCB. The findings in this study show that SCBOEI is contributed of great significance to promote sustainable development. In addition, this study introduces a model of SCBOEI, in which the consumer value theory, social exchange theory, and planned behavior theory are integrated. Additionally, this paper suggests that value, environmental attitude, identity, consumer engagement, and contextual factors (government behavior, market conditions, and environmental education) are highly important to extend the research on SCBOEI. In conclusion, this study strongly recommends that SCB research shall be directed to the online education industry. Furthermore, future studies shall emphasize the empirical effects of psychological factors, activity factors, and contextual factors for SCBOEI to find the correlation.

Digital tourism is an essential product of the digital economy, which is significant in promoting sustainable tourism. The study aims to analyze the current research status of digital tourism with the CiteSpace tool. One thousand thirteen documents related to digital tourism, AI tourism, and tourism digitization in the Web of Science (WOS) database from 1991–2022 were collected. This study conducts bibliometric analysis to portray the knowledge map. Furthermore, this paper explores the publication years, co-occurrence of authors, institutions, subjects, research hotspots, and evolution of digital tourism research. The analysis findings revealed that social and environmental sciences are the core disciplines in digital tourism research. Hong Kong Polytechnic University is the foremost institution, and Tussyadiah and Wirtz are the authors with the highest contribution rate. Moreover, the results emphasized the frontier studies of digital tourism referring to technology, consumption, tourists’ reviews, and the progress of the tourism industry. In addition, China, Europe, and the United States should strengthen their digital tourism cooperation with Africa and the South America to promote the sustainable development of global tourism. Finally, the results implicate the future development trends of digital tourism.

Acknowledgment
We acknowledge all the authors involved in the creation of this paper: Chen Luo for providing the opportunity for this research and collaborative creation, and Dr. Songyu Jiang, Dr. Ruihui Pu, and Dr. Lin Li for providing creative ideas and collaborative division for this paper, and for funding the research. Dr. Hongmei Yang further provides the research direction and future in the development process of digital tourism.

Social media is an essential tool and channel for tourism industry research. It has created significant value for tourism consumption, management, and trends. However, rare scientific achievements uncover sustainable tourism on Twitter, a famous social media worldwide. Therefore, this study aims to conceptualize sustainable tourism from the social media perspective. Based on 2,201 tweets, the study uses Nvivo12.0 to encode content thematically to explore the connotations and concepts of sustainable tourism. The study identified three crucial dimensions: tourism for sustainable development, sustainable tourism management, and sustainable tourism types. Tourism for sustainable development aims to promote the positive effects of sustainable practices in the tourism industry on various areas of life, economy, society, and environment. Moreover, its content serves for the better development in the future. Sustainable tourism management focuses on industries, leaders, experts, programs, and sectors. In addition, the study categorized sustainable tourism by entity, purpose, destination, and mode to determine the type of sustainable tourism. The paper helps to inspire stakeholders in the tourism industry to understand and pay attention to the content in the post-Covid-19 era and also provides recommendations for the tourism market, the tourism sector, and tourism consumers.

Mobile payment has a pronounced impact on the consumption mode of various industries and provides new clues for sustainable consumption. This study aims to explore the role of perceived risk and perceived technology on sustainable consumption intention and behavior. Moreover, it proposes the structural equation model of mobile payment for sustainable consumption behavior. 574 participants from Chinese higher education institutions filled in the questionnaire. The bootstrapping method was used to solve the problem of mediating factors. Amos 26.0 helped to construct structural equation models. The study determined the negative effect of the perceived mobile payment risk on the perceived mobile payment usefulness, perceived mobile payment ease of use, and sustainable consumption intention. Moreover, the three variables have a particular buffer in the relationship between perceived mobile payment risk and sustainable consumption behavior. Furthermore, perceived mobile payment usefulness positively impacts sustainable consumption intention, and they have a chain-mediated effect on the relationship between perceived mobile payment risk and sustainable consumption behavior. The same effect also occurs in the relationship between perceived mobile payment ease of use and sustainable consumption intention.

The digital economy has enforced women’s employment and provided more possibilities for promoting employment for gender equality (SGD5). In order to achieve SDG5, the study aims to explore the role of digital employment policy and digital employment value on digital employment intention based on the support alliance theory and employment behavior theory and to build a model of digital employment for gender equality. 492 women with digital work experience from China participated in the survey. The results reveal that digital employment policy (β = 0.327, p < 0.001) and digital employment value (β = 0.454, p < 0.001) predict digital employment intention. Digital employment policy plays an active role in determining digital employment value (β = 0.546, p < 0.001). At the same time, the study claims the intermediary role of digital employment value in the structural model. This study can inspire the government and relevant departments to design more scientific and diversified employment policies for women, including policy support in economic, educational, and social aspects. Furthermore, women in the digital era should actively participate in training, improve their digital skills, understand the possibilities that digitalization brings to their work and life, and adapt themselves to the development of the digital society. This study encourages women to integrate into the digital society and actively improve their values, thus achieving SDG5.

Digital employment is one of the critical concepts of the digital economy for sustainable development. Promoting digital employment intention of potential employees is indispensable for developing the digital economy. The study aims to explore how digital employment policies predict digital employment intentions and to construct a structural equation model. Based on an online survey of 470 students with digital work experience from Chinese higher education institutions, the data were processed using SPSS 26.0 and Amos 26.0. The results uncover that digital employment policies have a positive impact on digital employability (β = 0.538, p < 0.001), digital employment capital (β = 0.524, p < 0.001), and digital employment intentions (β = 0.257, p < 0.001). At the same time, digital employability (β = 0.216, p < 0.001) and digital employment capital (β = 0.505, p < 0.001) also have a positive impact on digital employment intentions. The structural equation model emphasizes the significant mediating effect of digital employability (0.116) and digital employment capital (0.265). Therefore, the government should actively promote digital policies to encourage and enhance digital employment capabilities, promoting digital employment intentions and behaviors. The support and development of digital employability by the entire society, especially schools, and families, is also significant.

Elderly tourism constitutes an important sector within the sustainable development of the tourism industry, attracting an increasing body of research focused on market development. This study aims to outline the progression of elderly tourism research within the past five years (2019–2023) and determine prospective research trajectories and opportunities in the subject. Employing CiteSpace visual analysis technology, this investigation constructs knowledge graphs of authors, institutions, and countries from 332 English-language academic articles from the Web of Science and culminates a keyword co-occurrence knowledge graph. Next, cluster and burst analyses revealed the prevailing trends and focal points in elderly tourism research. The results underscore that while many researchers have been drawn to elderly tourism, the collaborative relationships between these scholars remain tenuous, resulting in the relatively disparate study and the absence of a lead author group. China dominates the field, producing a far greater quantity of studies than other nations. Hence, this study encourages different countries, higher education institutions and disciplines to strengthen cooperation in the management and development of elderly tourism, especially paying attention to the importance of elderly tourism services, quality management and technology integration for the sustainable development of elderly tourism.

Human resources are critical assets in the hotel industry, and retaining employees is crucial for the sustainable development of hotels. To reduce employee turnover, the study aims to explore the role of psychological contract and emotional labor on turnover intention. Data from an online survey of 743 employees of luxury hotels in China were analyzed using structural equation modeling (SEM). The results show that employer relational psychological contracts (p < 0.001), employee relational psychological contracts (p < 0.001), and employer transactional psychological contracts (p < 0.01) have an impact on turnover intentions. The study also finds that employee transactional psychological contracts (p > 0.05) do not affect turnover intentions. Furthermore, employee-employer relational psychological contracts (p < 0.01) significantly influence emotional labor, whereas employer transactional psychological contracts (p > 0.05) do not. Emotional labor (p < 0.01) significantly affects turnover intentions. The connection between psychological contracts and turnover intentions is also mediated by emotional labor. These results imply that luxury hotels should prioritize employees’ emotional well-being, create a harmonious work environment, and enhance employee loyalty. This paper provides valuable insights that may reduce turnover and foster sustainable development within the hospitality sector.

Social media has brought new opportunities to bridge employment and has become an essential channel for addressing the issue of an aging society. This study aims to explore the factors influencing bridge employment behavior among older adults on social media platforms. This analysis collected 757 older adults from China who continue to work as anchors in social media after retiring. Data collection was conducted over ten days via structured questionnaires divided into eight sections. Furthermore, this study conducts structural equation modeling (SEM) to process the data. The results indicate that social capital (beta = 0.183, p = 0.004) and bridge employment policies (beta = 0.123, p = 0.031) have a significant positive impact on intention to bridge employment. Subjective norms (beta = 0.197, p < 0.001), attitudes (beta = 0.204, p < 0.001), and perceived behavioral control (beta= 0.147, p = 0.004) also positively and significantly influence intention to bridge employment. Subjective norms, attitudes, and perceived behavioral control serve as crucial mediators in the relationship between social capital, bridge employment policies, and intention to bridge employment. Finally, intention (beta = 0.480, p = 0.001) is a strong predictor of bridge employment behavior and acts as a mediator within the model. The findings suggest that enhancing social capital and well-structured employment policies can significantly influence older adults’ acceptance and sustained participation in bridge employment on social media platforms.