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Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique physician–patient relationship, patients' choice of physicians within an online health consultation setting may not only be based on rational judgments but also considerably affected by their feelings. Hence, the purpose of this study was to explore which physicians' attributes affect patients' cognitive and affective trust in physicians, as well as how these two variables and their association affect patients' willingness to choose.

Based on the broad conceptual framework of online trust, this paper proposed a set of hypotheses that were tested through analyzing survey data using structural equation modeling techniques.

Results showed that physicians' ability had a significant positive influence on patients' cognitive trust in the physician; physicians' integrity and benevolence had a significant positive influence on patients' affective trust in the physician; cognitive and affective trust had a significant positive impact on patients' willingness to choose and there were significant positive interactions between affective and cognitive trust.

This study theoretically enriches the generic model of online trust. From the practical perspective, it will provide physicians working in online health consultation platforms and relevant practitioners with baseline information on the topic and advice for decision-making toward service enhancement and clientele improvements.

The significance of physician-user interaction has been widely acknowledged in offline and online healthcare consultation. However, limited attempts have been made to explore the influence of physician-user interaction on users' perceived service quality (PSQ) in the mobile context. Based on the literature on physician-user interaction and media synchronicity theory, this study proposes a theoretical model where the interactive factors common across the offline, online and mobile context, i.e. physicians' informational support and emotional support, the interactive factors unique in the mobile context, i.e. physicians' response speed and voice service, and the interaction between the two categories of interactive factors predict users' PSQ in mobile consultation.

This study collects consultation records between 25,225 users and 738 physicians from a leading Chinese mobile consultation application, and employs linear regression to verify the proposed theoretical model.

Physicians' informational, emotional support, response speed and voice service are found to have significant positive impacts on users' PSQ. Besides, physicians' response speed strengthens the positive impacts of physicians' informational and emotional support on users' PSQ, while physicians' voice service weakens the positive link between physicians' informational support on users' PSQ.

This study contributes to the antecedents for users' PSQ in mobile consultation by identifying unique interactive factors in the mobile context, and highlighting the individual and interaction effects of different physician-user interactive factors. Besides, this study employs novel methods, which leverages text classification and text pattern recognition to more accurately depict physicians' online behaviors based on objective communication records.

The purpose of this paper is to reveal how organizational learning at the strategic and operational levels (i.e. strategic learning and business learning, respectively) contribute to the development of organizational ambidexterity along the growth of enterprises from an evolutionary view.

The authors conducted a longitudinal single case study on Huawei – a leading Chinese firm in the telecommunication industry. Data were collected from various sources including interviews, senior speeches, scholarly publications, company magazines and other documents, and was analyzed in line with the principles of grounded theory.

This research reveals that the case company (Huawei) constructed organizational ambidexterity with different foci during different development stages. The organization’s ambidextrous capability evolves over time, shifting from one domain to another. Such ambidexterity development was largely beneficial from the multilevel organizational learning at both the strategic level (focussing on the whole organization and long-term goals) and operational level (focussing on local interests and short-term goals).

This paper represents one of the earliest works to uncover the ambidexterity building process from an evolutionary approach that requires the collection of longitudinal data. Also, the paper proposes a multi-level learning framework for ambidexterity building in practice. This framework distinguishes strategic learning from business learning and projects the two types of learning into learning at four levels-individual, team, intra-organizational, and inter-organizational, which can be leveraged to guide division of labor among hierarchical levels during the progressive development of ambidexterity.

Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

This study aims to investigate the satisfaction of farmers with the compensation policy for wildlife-caused damages and its influencing factors, analyze the current situation of satisfaction with the compensation policy among farmers, identify factors significantly affecting satisfaction, and explore ways to optimize the compensation policy and improve the satisfaction of farmers based on the effects of various influencing factors.

The Xishuangbanna National Nature Reserve in Yunnan Province, China, is selected as the research area for the study. Through field interviews, 370 valid questionnaires were collected to obtain relevant data on farmers' satisfaction with the compensation policy for wildlife-caused damages. The Oprobit model is utilized to explore the factors influencing farmer satisfaction and to analyze their underlying reasons.

The study reveals that farmers in the communities surrounding the Xishuangbanna National Nature Reserve generally experience low satisfaction with the compensation policy, particularly concerning satisfaction with compensation amounts, which tends to be dissatisfied on average. Satisfaction with the compensation policy is significantly influenced by individual characteristics and household labor structure, while the degree of human-wildlife conflict, wildlife conservation attitudes and household income structure have insignificant impact. Among individual characteristics, gender, education level, health status, and ethnicity are highly significant. In household labor structure, the number of agricultural laborers, non-agricultural laborers, and household agricultural labor time are highly significant.

Building on the overall satisfaction of farmers with the compensation policy, this study further decomposes policy satisfaction into satisfaction with compensation amounts, coverage, and procedures. It provides more targeted recommendations for enhancing satisfaction with the compensation policy, which can help effectively mitigate human-wildlife conflicts and achieve harmonious coexistence between humans and nature.

The study has practical implications for decision-makers in that increasing board competence and expertise through training on environmental issues will promote green policy-making.

This study included 655 firm-year observations from companies listed on the Indonesia Stock Exchange between 2017 and 2021. Panel data regression analysis is used to investigate the hypotheses. Additionally, a robustness test is conducted to validate the consistency of the primary test results.

The results demonstrate that green theme training from the board of directors, board of commissioners and independent commissioners has a positive and significant impact on the implementation of green innovation at each level of the board. This result is aligned with the robustness test performed.

This study is restricted by the fact that the only data sources used to examine the board’s green training are publication reports and other reports that disclose the board’s training activities. Therefore, future research can be done by considering other methods, such as surveys to trace green training followed by the board. Additional research may also examine green theme training in the corporate governance structure from a different theoretical angle, such as agency theory and human capital theory.

In practice, the study has implications for decision-makers in that increasing board competence and expertise through training on environmental issues will be able to promote green policy-making.

This study concentrates on Indonesia with two-board governance characteristics: the board of directors and the board of commissioners. Several scholars have examined the board of directors in light of resource dependence theory. To the best of the authors’ knowledge, no research has explained the supervisory board within the context of two-board governance. In addition, the authors have not found research that analyzes board training activities related to the environment.