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Megaprojects exert a significant impact on sustainable development, and it is imperative for stakeholders to collectively ensure their development occurs in a socially responsible manner. While there has been a growing focus on the involvement of megaprojects in social responsibility, scant attention has been given to understanding the collective actions of stakeholders in implementing social responsibility within these projects. Specifically, the institutional mechanism leading megaproject stakeholders to engage in socially responsible collective action is largely unexplored. To fill this gap, this study primarily aims to explore the institutional antecedents influencing socially responsible collective action in megaprojects.

Drawing on institutional theory, this study empirically examines the factors influencing socially responsible collective action in megaprojects. An online questionnaire survey was administered to collect data from 365 participants engaged in mega water transfer projects in China. The data analysis employed the partial least squares structural equation modeling technique.

The findings from the partial least squares analyses indicate that coercive isomorphism, mimetic isomorphism, and normative isomorphism all demonstrate positive associations with stakeholders’ intention to engage in socially responsible collective action. Moreover, the findings also show a positive correlation between stakeholders’ intention and their behavior in participating in socially responsible collective action within megaprojects. Additionally, coercive isomorphism positively moderates the connection between mimetic isomorphism and the intention to engage in SRCA, while negatively moderates the relationship between normative isomorphism and the intention to undertake socially responsible collective action.

This study enriches the existing body of knowledge by identifying coercive, mimetic, and normative isomorphism as antecedents to adopting socially responsible collective action in megaprojects. Furthermore, the study enhances our comprehension by demonstrating that stakeholders’ intention to fulfill social responsibility translates into tangible actions. The implications and recommendations provided shed light on how various types of institutional isomorphism can be used to encourage stakeholders to embrace socially responsible collective action in megaproject management.

Customer misbehavior has a negative impact on frontline employees. However, the underlying mechanisms from customer misbehavior to employees’ negative outcomes need to be further unfolded and examined. This study aims to propose that employees’ affective rumination and problem-solving pondering could be the explanatory processes of customer misbehavior influencing employee attitudes in which coworker support could be a moderator.

A mixed-method approach was designed to test this study’s predictions. Study 1 conducted a scenario-based experiment among 215 full-time hospitality employees, and Study 2 used a two-wave, longitudinal survey of 305 participants.

The results demonstrate the impact of customer misbehavior on work–family conflict and withdrawal behaviors. The mediating role of affective rumination is supported and coworker support moderates the processes.

Customer misbehavior leads to negative outcomes among frontline employees both at work and family domains. Hotel managers should help frontline employees to cope with customer misbehavior by avoiding negative affective spillover and providing support properly.

The studies have unfolded the processes of affective rumination and problem-solving pondering through which customer misbehavior influences work–family conflict and withdrawal behaviors among frontline employees. The surprising findings that coworker support magnified the negative effects have also been discussed.

The purpose of this study is to examine different paths to overcoming the liability of foreignness. Based on the eclectic paradigm, the authors construct a theoretical framework comprising enterprise nature, location choice, entry mode and internationalization strategy.

The paper uses fuzzy-set qualitative comparative analysis (fsQCA) method to test the framework with data covering 120 multinational Chinese subsidiaries in 34 host in 2019.

The results show that liability of foreignness (LOF) is multiple concurrency, equifinality and asymmetry. When investing in Belt and Road (B&R) countries, non-SEOs can weaken LOF by applying the greenfield mode and resource-seeking strategy, other MNEs can implement a market- or resource-seeking strategy via cross-border M&A to reduce LOF. But when investing in non-B&R countries with a strategic asset-seeking strategy, the LOF is increased. The B&R initiative can reduce the LOF effectively.

The authors construct a general framework to explain the paths of overcoming LOF by bridging the OLI with LOF and introduce fsQCA method into the field of LOF to make up for the shortcoming of existing test method by explaining the influence of more than three factors on LOF.

Building on the social capital theory of career success (SCT), this paper aims to explore how and when newcomers’ overqualifications can grant them positions as informal leaders within the workgroup over time.

The model was tested using a social relations modeling analysis conducted using a three-wave survey with 242 newcomers in Macau.

The results support the view that relatively qualified newcomers can enjoy social capital advantages in workgroup networks. Newcomers’ desired qualifications can grant them positions as informal leaders through leader–member exchange and advice network centrality. These relationships are moderated by relational dissimilarity, such that the benefits of being relatively overqualified will be weakened when relational dissimilarity is high (vs. low).

When assisting overqualified newcomers in integrating into their teams, practitioners shall be aware of the time and resources that new hires require for adjustment, especially when significant newcomer–veteran relational dissimilarity exists.

The present paper challenges the overtly detrimental outcomes of overqualification by highlighting the positive relational implications of being relatively overqualified.

We aim to examine two issues. First, we intend to identify the best performing expected return proxies. Second, we investigate whether the expected return proxies for individual stocks can track the corresponding realized returns during extremely good or extremely bad times of the economic environment related to business conditions, stock market valuation and broad market performance.

We construct four sets of expected return proxies, including: (1) characteristic-based proxies; (2) standard risk-factor-based proxies; (3) risk-factor-based proxies that allow betas to vary with firm characteristics and (4) macroeconomic-variable-based proxies. First, we estimate expected returns for individual stocks using newly developed methods and evaluate the performance of these expected return proxies based on the minimum variance criterion of Lee et al. (2020). Second, we regress expected return proxies and realized returns on indicator variables that capture the extreme phases of the economic environment. Then we compare the estimated coefficients from these two sets of regressions and see if they are similar in magnitude via formal hypothesis testing.

We find that characteristic-based proxies and risk-factor-based proxies that allow betas to vary with firm characteristics are the two best performing proxies. Therefore, it is important to allow betas to vary with firm characteristics in constructing expected return proxies. We also find that model-based expected return proxies do a reasonably good job capturing actual returns during extremely bad and extremely good phases of business cycles measured by leading economic indicators, consumer confidence and business confidence. However, there is a large gap between the adjustment of model-based expected returns and realized returns during extreme episodes of stock market valuation or broad market performance.

We examine four types of expected return proxies and use the newly developed methodology as in Lee et al. (2020) to see which one is the best. In addition, we document whether model-based expected returns from individual stocks adjust partially or fully to keep pace with actual returns in response to changing economic conditions. No prior studies have examined these two issues.

This study compares the motivation, perceived crowding and satisfaction differences among local climbers in three Asian countries. The study population consists of mountain climbers from Taiwan's Yushan, Japan's Mount Fuji and Malaysia's Mount Kinabalu. The study involves 3,112 respondents from Mount Fuji, 192 from Mount Kinabalu and 391 from Yushan. The results from the Multivariate Analysis of Variance (MANOVA) show significant differences among climbers on the three mountains concerning climbers' motivation, perceived crowding and satisfaction. Social factors are the most significant motivators, with climbers on Mount Kinabalu, representing the most salient motivation for mountain tourism. For perceived crowding, climbers on Mount Fuji perceive congestion on the trails, mountaintops, restrooms and mountain huts and regard those services as unacceptable. Concerning satisfaction, services provided by mountain huts are the most significant, with the highest satisfaction recorded at Yushan's mountain huts. The study findings may be used as a reference for relevant tourism stakeholders and guide future research directions.

The purpose of our research is to explore the role of employee AI identity in influencing employee proactive behavior and its boundary conditions in AI workplace.

Based on the IT identity theory and motivation theory, our research discusses the effects of employee AI identity on employee proactive behavior and regarded the proactive work intention as a mediating variable. Meanwhile, we considered organization inducement as a boundary condition and discussed the moderating effects of it and its two sub-dimensions (development rewards and material rewards). Data were collected from 326 employees and partial least squares structural equation modeling was used to analyzed and draw the conclusions.

Findings showed that employee AI identity significantly affects employee proactive behavior, in which the proactive work intention play a mediating role. Moreover, three subdimensions (relatedness, emotional energy, dependence) of employee AI identity have different effects on formation of employee AI identity. And organization inducement acts as a positive moderating role, development rewards and material rewards play different roles in the formation of organization inducements.

Our research explores the different paths that influence employee proactive behavior and their boundary moderation, while analyzing the results of these influences in different subdimensions, deepening the research on employee AI identity and organization inducement. Our research is conducive to the development of the identity theory and organizational behavior research and provide suggestions for managers to improve their organizational management level.

This study examines the psychological factors that directly influence individuals’ intentions to book or arrange reservations through resort hotel websites within the context of the Unified Theory of Acceptance and Use of Technology (UTAUT). Specifically, this study focused on identifying and understanding the key drivers of online purchase intentions, including performance expectancy, effort expectancy, social influence and facilitating conditions within the UTAUT model.

This study used the UTAUT as a theoretical framework. A quantitative research approach was adopted and data were collected through surveys using a five-point Likert scale. The sample consisted of 270 participants, selected through purposive sampling. Data analysis was performed using Smart PLS software.

The results indicate that performance and effort expectancy significantly influence online purchase intentions. However, social influence did not significantly affect online purchase intention. By contrast, facilitating conditions significantly and positively influence online purchase intention.

These findings have practical implications for hotel managers and marketers. Emphasizing performance, effort expectations and facilitating conditions can improve customer perceptions of website usefulness and directly increase their intention to book. The limited impact of social influence suggests the need to focus less on social recommendations or endorsements in online marketing efforts and prioritize individual factors and objective information.

This study contributes to the field of technology and tourism by examining the psychological factors that directly influence users’ intention to purchase from resort hotel websites. This extends the understanding of online purchase intentions in the context of resort tourism and highlights the importance of facilitating conditions. This study also partially confirms the applicability of the UTAUT model in this domain and provides insights for future research on online purchase intentions in resort tourism.

Although many conventional level-set approaches can be used for segmenting images containing factors such as noise and intensity inhomogeneities, they still can impact the accuracy of the results seriously. To solve this problem, a level-set method for fast image segmentation based on pre-fitting and bilateral filtering is proposed.

Firstly, an improved bilateral filter was investigated for image preprocessing. Secondly, by computing the local average intensity of the preprocessed enhanced picture, two local pre-fitting functions were defined. Thirdly, a new level-set energy functional was defined. Finally, a new distance regularized energy term based on the logarithmic and polynomial functions is proposed to evolve the level-set function in a smooth state.

The experimental results demonstrate that the proposed model has an excellent segmentation capability for images with noise and intensity inhomogeneities and has different degrees of performance improvement compared with the mainstream models.

(C1) An improved bilateral filter was investigated and integrated into the model. (C2) Proposing two local pre-fitting functions by computing the local average intensity of the preprocessed enhanced image. (C3) Proposing a new level-set energy functional. (C4) A new distance regularized energy term based on the logarithmic and polynomial functions is proposed to evolve the level set function in a smooth state. (C5) Analyzing and comparing the performance of the proposed model with other similar models.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.