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This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.

A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.

The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.

This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.

本研究旨在确定影响目标消费者的旅游直播主（TLSers）的关键特征, 并检验这些特征如何通过激发消费者情感参与和价值共创行为来增强目的地品牌价值。

对在中国观看过旅游直播的552名受访者进行了问卷调查, 采用结构方程建模分析数据。

研究结果显示, TLSers的专业知识对消费者影响最大, 并积极影响他们的情感依恋、信任、参与和公民行为, 以及感知的目的地品牌价值。吸引力和可信度对这些变量的影响较弱但也是积极的。

本研究通过展示TLSer特征的独特影响, 对直播研究的理论发展做出了贡献。此外, 本研究扩展了社会交换理论和价值共创在旅游研究中的应用。

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

This paper aims to investigate whether family CEOs benefit investment efficiency under uncertainty with Chinese family firms and to test the moderating effect of ownership structure, including family ownership, the separation of family control from family ownership and the multiple large shareholder structure.

Fixed-effects models are designed for a sample of 5,734 firm-year observations for Chinese family firms from 2009 to 2014.

The results show that investment efficiency is low under uncertainty, and having family CEOs can reduce this negative relationship. Further analysis reveals that for firms with family CEOs, the negative effect of uncertainty on investment efficiency is weaker when the family has higher ownership, when family control is less separated from family ownership, or when family firms have multiple large shareholder structures.

The authors do not distinguish founder-CEOs and descendant-CEOs. Most of Chinese family firms are still managed by founders, so the authors cannot explore the generation effect although different generations manage firms differently. Because family succession is becoming a more and more important problem in China, further research may be able to explore the generation effect.

This paper suggests that in emerging economies with weak investor protection, outside minority shareholders can avoid expropriation from family owners by investing in firms with large family ownership, little separation of family control from ownership or multiple large shareholder structure. In addition, policymakers can encourage institutional investors to participate in family business to improve corporate governance.

Drawing on both Type I and Type II agency theory perspectives, the authors argue that although family CEOs can generally benefit firms’ investment efficiency, the benefits vary with firms’ ownership structure. In other words, family CEOs are not absolute agents or stewards but some extent of combination of both.

Drawing upon the self-protection theory, the purpose of this study is to examine whether and how workplace loneliness leads to workplace territoriality.

Three-wave data from 243 employee–colleague dyads in China were collected to provide stronger empirical evidence supporting the hypotheses presented in this study. Path analysis and the bootstrapping method were used to test the predictions of this study.

The results of this study showed that employees’ workplace loneliness was positively related to their territorial behavior; employees' self-serving cognitions mediated the relationship between workplace loneliness and territorial behavior; and self-sacrificial leadership negatively moderated the relationship between workplace loneliness and self-serving cognitions and the indirect relationship between employee workplace loneliness and territorial behavior through self-serving cognitions.

The findings of this study suggest that organizations should pay attention to employees’ self-serving cognitions and cultivate self-sacrificial leadership to manage the territorial behavior derived from workplace loneliness.

This study highlights the positive effects of workplace loneliness on self-serving cognitions and subsequent workplace territoriality and shows that self-sacrificial leadership plays a buffering role in this process.

This chapter reviews the status of Education For All (EFA) in China and identifies four gaps: between rural and urban residents, between residents of geographic regions, between ethnicity groups, and between the genders. It turns to examine the educational situation and interests of girls weighed down by the crushing burden of multiple disadvantages in “left-behind” Western China. Based on analysis of macro-level socio-economic and educational conditions, along with rich micro-level data on girls’ vigorous pursuit of education, the authors argue that the changing conditions of rural girls’ lives and their education can best be understood from a critical empowerment perspective. Summarizing the global discourse and cross national evidence on the benefits of girls’ education, the chapter and looks beyond a utilitarian perspective and argues for the cogency of a critical empowerment framework. Filled with telling stories and case studies of Han Chinese, Tibetan, and Muslim girls, this chapter proposes that prioritizing girls’ education in Western China is crucial and required for achieving the MDG of gender parity. Even though girls are often stranded by family financial conditions, their actions and ideas seeing education as their future reflect a changing gender identity and role in the family and society. The fieldwork suggests that educating girls promotes localized development, reduces dangerous levels of economic gaps and social instability, but also advances hard to measure effects: personal and civil empowerment, and sustainable, harmonious cultural change – as well as MDG.

This paper aims to extract the universal results or conclusions with high value from the existing research conclusions, further compares the research results of knowledge search and its various dimensions on the impact of enterprise innovation performance in the existing research and supports the decision of which knowledge search to give priority to in the context of limited resources.

Based on the resource-based theory and resource dependence theory, this paper uses meta meta-analysis method to quantitatively synthesize multiple representative literature on the relationship between knowledge search and enterprise innovation performance, build a theoretical model of knowledge search and its dimensions and enterprise innovation performance and explore the internal mechanism of enterprises to improve innovation performance through knowledge search.

The results show the following: knowledge search behavior promotes the innovation performance of Chinese enterprises; expanding the width of knowledge search and deepening the depth of knowledge search have a positive impact on improving the innovation performance of Chinese enterprises; enterprise scale, industry field, development stage and other factors regulate the contribution of knowledge search width and depth to improving the innovation performance of Chinese enterprises.

This paper effectively clarifies the regulatory role of each dimension of knowledge search, makes reasonable explanations for different conclusions that are ambiguous or conflicting and answers questions like how knowledge search is related to enterprise innovation performance and what kind of knowledge search is more effective so as to provide some useful practical guidance and inspiration for enterprises to carry out innovation activities.

The purpose of this paper is to explore the operation strategies of a manufacturer who produces brown and green product simultaneously.

The authors establish three models to examine the joint decisions of pricing and advertising. Three advertising strategies are: non-advertising investment (NA), advertising investment for brown product (BA) and advertising investment for green product (GA).

The theoretical analysis shows that advertising investment can substantially increase the product greening level and manufacturer's profit. More importantly, we find that the GA strategy is more likely to be the best strategy as the advertising investment efficiency increases. The BA strategy is more likely to be preferred as the R&D cost increases. Finally, the modeling results are verified by numerical experiments, and more insights are obtained.

This paper considers the case in which a single manufacturer produces the brown and green product simultaneously. In fact, many manufacturers in the market produce brown and green product at the same time. Furthermore, in addition to advertising investment for brown product and green product, manufacturers can also invest in advertising for brands.

The paper contributes to the investigations on green production and advertising decisions of a manufacturer who produces brown and green products simultaneously.

Tingting Qi's chapter titled, “Moving toward Decentralization? Changing Education Governance in China After 1985,” provides the historical and policy context for the volume. This chapter integrates the post-1978 Chinese educational reforms into the socioeconomic context of China. The special contribution of this chapter is that it explores the complexity of educational decentralization in China through an in-depth analysis of changes in education finance, administration, and curriculum. Qi reviews prior studies, government documents, laws, and regulations related to Chinese education reform since 1978 within the context of education decentralization in China. Qi also demonstrates that China's educational policy reforms are moving China toward “centralized decentralization” because decentralization is driven by a common, centralized national goal of economic modernization. The chapter presents evidence that “centralized decentralization” is a strategic maneuver that maintains centralized control while providing the reform legitimacy of decentralization. By focusing on decentralization as the core of Chinese educational policy reforms, this chapter situates the following chapters within the social, cultural, and political context of post-1978 China.

The purpose of this paper is to discuss the topic of agency problems in service ecosystem for innovation. It specifically explores the corporate policies aimed at encouraging collaboration, so as to prevent opportunistic behaviors within the innovation hub, where service exchange is central for innovation creation.

The authors apply the agency theory framework to the hub as a service ecosystem in order to understand how it would be possible to address agency problems between the firm (principal) and the other actors of the hub (agents), involved in peer-to-peer interactions. The research explores the case study of a high-tech leading company, which is a pioneer in the use of the hub for supporting its innovation process. Data are collected through semi-structured interviews to some key informants of the Hub Program regarding structure and organization; participation; incentives and monitoring.

In service ecosystems, corporate policies are based on commitment, psycho-social incentives and social control may encourage collaboration among the actors, thus contributing to align their own interests to the hub’s innovation common goals.

Given the exploratory nature of the research, the paper is based on a single case study. Thus, it is not possible to either generalize the results or evaluate any statistical correlation.

The paper provides a wider awareness about the benefits and risks related to service ecosystems for innovation, and advise both managers and practitioners about appropriate corporate policies to better address the agency problems.

This study enhances the literature on service ecosystems, highlighting the importance of corporate policies in preventing opportunistic behavior of actors in order to ensure the value co-creation process. It also extends the agency theory application to informal and not-hierarchical contexts. Besides, it suggests practitioners a way to reconcile the different interests of the firm and the other hub’s participants.

The purpose of this paper is to investigate the optimal operational strategies in a green platform supply chain and provide suggestions on the selection of sales and financing modes for the capital-constrained manufacturer.

This study combines different sales channels with financing modes and investigates three sales-financing modes, i.e. traditional sales-prepayment financing (TSPF), traditional sales-bank financing (TSBF) and online sales e-retailer financing (OSEF). By establishing and comparing Stackelberg game models of these sales-financing modes from the perspectives of economy, environment and social welfare, the optimal strategies of emission reduction, financing, pricing and service improvement are obtained.

The results suggest that as the commission rate increases to a certain level, a threshold of the cost coefficient of emission reduction can be found such that the manufacturer should choose OSEF below this threshold and TSBF above this threshold. OSEF is Pareto optimal when this cost coefficient is low, and this mode can lead to the highest social welfare when the platform loan interest rate is relatively low. The Pareto areas in TSBF and OSEF enlarge as the default coefficient decreases.

These results can provide operational insights on how to select sales channels and financing modes when manufacturer faces financial constraints in emission reduction.

This paper combines different sales and financing modes to study their comprehensive influence on the decision-makings of chain members and the resulting performance of economy, environment and social welfare.