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In traditional Chinese medicine (TCM), the mechanism of disease (MD) constitutes an essential element of syndrome differentiation and treatment, elucidating the mechanisms underlying the occurrence, progression, alterations and outcomes of diseases. However, there is a dearth of research in the field of intelligent diagnosis concerning the analysis of MD.

In this paper, we propose a supervised Latent Dirichlet Allocation (LDA) topic model, termed MD-LDA, which elucidates the process of MDs identification. We leverage the label information inherent in the data as prior knowledge and incorporate it into the model’s training. Additionally, we devise two parallel parameter estimation algorithms for efficient training. Furthermore, we introduce a benchmark MD identification dataset, named TMD, for training MD-LDA. Finally, we validate the performance of MD-LDA through comprehensive experiments.

The results show that MD-LDA is effective and efficient. Moreover, MD-LDA outperforms the state-of-the-art topic models on perplexity, Kullback–Leibler (KL) and classification performance.

The proposed MD-LDA can be applied for the MD discovery and analysis of TCM clinical diagnosis, so as to improve the interpretability and reliability of intelligent diagnosis and treatment.

The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency. However, there are relatively few research probes into the formation process of mobile SNS addiction behavior, and how demographic factors (e.g. gender and age) influence users’ addiction behavior. Adopting the stimulus–organism–response (S–O–R) framework, this study examines the effects of three types of technological functions (enjoyment, sociability and information value) on flow in relation to mobile SNS addiction. The authors further proposed gender and age as moderators, which play important roles in influencing the formation of mobile SNS addiction behavior.

This study examines the formation of mobile SNS addiction with a particular focus on the WeChat app. The authors use a field survey study conducted in China with 351 subjects of WeChat app users to examine thestudy model.

The results demonstrate that addictive behavior is determined by users’ flow states of using mobile SNS. The flow states, in turn, are influenced by three types of technological functions (enjoyment, sociability and information value). In addition, gender and age act as vital moderators in the model.

First, the authors empirically examine the formation of SNS addiction on the mobile device by adopting the S–O–R framework, which may enrich the addiction literature. Second, the authors reveal the moderating roles of age and gender in affecting the formation process of addiction behavior further. The findings of this research deepen our understanding of users’ addiction behavior. Third, the findings also offer rich insights to prevent mobile SNS addiction.

Embracing big data has been at the forefront of research for project management. Although there is a consensus that the adoption of big data has significantly positive impact on project performance, far less is known about how this innovative information technology becomes an effective driver of construction project quality improvement. This study aims to better understand the mechanism and conditions under which big data can effectively improve project quality performance.

Adopting Chinese construction enterprises as samples, the theoretical framework proposed in this paper is verified by the empirical results of the two-level hierarchical linear model. The moderated mediation analysis is also conducted to test the hypotheses. Finally, the empirical findings are validated by a comparative case study.

The results show that big data facilitates the development of technology capability, which further produces remarkable quality performance. That is, a project team's technology capability acts as a mediator in the relationship between organizational adaptability of big data and predictive analytics and project quality performance. It is also observed that two types of project team interdependence (goal and task interdependence) positively moderate the mediation effect.

The questionnaire study from China only represents the relationship within a short time interval in the current context. Future studies should apply longitudinal designs to properly test the causality and use multiple data sources to ensure the validity and robustness of the conclusions.

The value of big data in terms of quality improvement could not be determined in a vacuum; it also depends on the internal capability development and elaborate design of project governance.

This study provides an extension of the existing big data studies and fuels the ongoing debate on its actual outcomes in project management. It not only clarifies the direct effect of big data on project quality improvement but also identifies the mechanism and conditions under which the adoption of big data can play an effective role.

The deviant behavior (DB) of construction workers has always been a troubling event in project management. Although scholars continue to search for the main causes of this behavior to curb it at the source, the authors know less about the role and contribution of the team. This study aims to uncover the mechanisms and conditions under which collective moral judgment focus on self (CMJS) effectively enhances DB.

Adopting Chinese construction enterprises as samples, a hierarchical linear model (HLM) is used to test the results of the hypothesis. Moderated mediating effects are used to analyze the potential mechanisms and boundary conditions of DB.

The results of the HLM analysis show that CMJS could directly and significantly induce DB, and moral disengagement (MD) plays a mediator role in this association. In addition, the positive relationship between MD and DB is stronger when performance-avoidance goal orientation (PaGO) or overqualification (Overq) is higher.

The conditions and mechanisms that influence DB are not unique. Future study could examine the explanatory and weighting mechanisms of DB from other perspectives or to construct a framework and summarize the factors that may influence DB.

This study provides a rich theoretical basis for the prevention and correction of construction workers' DB in Chinese construction firms from the perspective of CMJS. In addition, objective moral judgments contribute to guiding employees' moral cognitive processes and positive work.

This study extends existing research on DB and advances the practical outcomes of construction project governance. It not only illustrates that CMJS has a direct impact on DB but also clarifies the mechanisms and conditions that predispose to the generation of DB, filling the research gap on construction workers' DB from cross-level mechanisms and also enriching the theoretical system for preventing this behavior.

The problematic use of social media progressively worsens among a large proportion of users. However, the theory-driven investigation into social media addiction behavior remains far from adequate. Among the countable information system studies on the dark side of social media, the focus lies on users' subjective feelings and perceived value. The technical features of the social media platform have been ignored. Accordingly, this study explores the formation of social media addiction considering the perspectives of users and social media per se on the basis of extended motivational framework and attachment theory.

This study investigates the formation of social media addiction with particular focus on WeChat. A field survey with 505 subjects of WeChat users was conducted to investigate the research model.

Results demonstrate that social media addiction is determined by individuals' emotional and functional attachment to the platform. These attachments are in turn influenced by motivational (perceived enjoyment and social interaction) and technical (informational support, system quality and personalization) factors.

First, this study explains the underlying mechanism of how users develop social media addiction. Second, it highlights the importance of users' motivations and emotional dependence at this point. It also focuses on the technical system of the platform that plays a key role in the formation of addictive usage behavior. Third, it extends attachment theory to the context of social media addictive behavior.

Digital technologies, such as big data and artificial intelligence, significantly impact entrepreneurial activities worldwide. However, research on entrepreneurial activities enabled by digital technologies is fragmented, divergent and delayed. This study aims to provide a structured review of digital entrepreneurship (DE) to identify status, hotspots, knowledge structure, dynamic trends and future developments in this field.

The bibliometric analysis was applied to offer a technological review on DE. In total 704 publications and their 34,083 references from Web of Science were retrieved as the sample set. Basic characteristics of publications, including the most influential documents, authors, journals and countries, were obtained. Then, co-citation and co-occurrence analyses were conducted to sketch the contours of the structure and evolution of DE.

DE has attracted increasing attention in the past three decades, especially after 2013. There are dozens of countries, hundreds of journals and more than 1,000 authors that have contributed to this field. Based on keyword co-occurrence clustering and co-citation clustering, the authors proposed a 3E (empower, evolution and ecosystem) framework of DE to facilitate an interdisciplinary dialogue for evidence-based policymaking and practice. In the future, researchers need to pay more attention to theoretical research and study DE from a holistic and dynamic perspective with consideration to the negative impact of digital technology on entrepreneurial activities.

This study draws an outline of the global advance on DE research. It presents an opportunity to comprehensively understand the contemporary achievements, the march of knowledge and the logical venation underlying academic developments as well as foundations for policymaking.

The purpose of this paper is to investigate the mechanism of building trust during the transition from online payment to mobile payment, as well as to examine the effect of trust on the satisfaction and continuance intention of mobile payment users. Based on trust transfer theory, this study proposes that trust in online payment (i.e. trust in source) and two source-target relationship factors, namely, perceived similarity and entitativity, affect trust in mobile payment (i.e. trust in target). In turn, the resulting trust influences user satisfaction and continuance intention toward mobile payment in an online-mobile payment context.

The model was empirically tested on data collected from 219 mobile payment users of a famous payment enterprise in China.

The results indicated that the trust transfer process positively influences the continuance intention of mobile payment through satisfaction. Satisfaction is an important factor affecting continuance intention. Moreover, trust in online payment, perceived similarity, and perceived entitativity between online and mobile payments can positively influence trust in mobile payment.

This study investigates the post-adoption usage of mobile payment from the trust transfer perspective. It focuses on the trust-building process and emphasizes the importance of trust on the continuance intention toward mobile payment in an online-mobile payment context.

The purpose of this paper is to examine the inclusive leadership’s too-much-of-a-good-thing effect (TMGT effect) and illustrate the possibility of the potential drawbacks of inclusive leadership.

In total, 191 questionnaires were valid and used in the study. Employee participants were asked to report their direct supervisor’s inclusive leadership. Employees’ direct supervisors were asked to rate employees’ task performance to minimize common method variance. The authors use regression analysis to test the hypothesis.

An inverted U-shape characterizes the relationship between inclusive leadership and subordinates’ task performance. Specifically, employees’ task performance is low when the supervisor’s inclusive leadership is low; task performance increases when inclusive leadership is from low to moderate levels, and task performance decreases when inclusive leadership is from moderate to high levels.

The study sheds light on inclusive leadership, especially the inclusive leadership in Chinese context. In addition, this finding is important as it investigates the inclusion’s TMGT effect which is rare in organizational research, and the findings also provide additional evidence of TMGT effect in management fields.

This study aims to examine escapism as the explanatory mechanism that can account for distinct outcomes of harmonious and obsessive sports fan passion among US and Chinese fans.

The study uses cross-cultural data collected among sports fans in the USA and China. Using structural equation modeling and PROCESS model, the authors test the mediating role of escapism and the moderating role of indulgence on the relationships between sports fan passion and procrastination.

The authors found that positive escapism mediates the relationship between harmonious sports fan passion and procrastination, whereas negative escapism mediates the relationship between obsessive sports fan passion and procrastination. While individual-level indulgence was not a significant moderator, post hoc analyses revealed that the interaction of indulgence and uncertainty avoidance played a moderating role.

The use of sports fan samples from both the USA and China enables a cross-cultural comparison of the proposed model, thereby extending the model’s generalizability. By advancing the dual model of escapism, the authors hope to stimulate a research dialogue that identifies more nuanced (both positive and negative) predictors and outcomes of passion for an activity and escapism in the broader context of other passion-inducing activities (e.g., Internet use, work, etc.).

Marketers promoting sports events can use this study's results to highlight the benefits of harmonious sports fan passion in terms of positive escapism and reduced procrastination. Organizations promoting sports fandom need to also be aware that sports fans can have obsessive passion for sports that can lead to procrastination. Therefore, it is important to be vigilant and distinguish between “healthy” and “unhealthy” passion early to avoid “unhealthy” passion turning into negative escapism and by extension, procrastination.

Socially responsible marketers should understand a potential negative effect that obsessive sports fan passion may entail and prevent or minimize its negative consequences.

To the best of the authors’ knowledge, this is the first study that explains why sports fan passion can(not) be associated with procrastination. It does so by using the dual escapism as the explanatory mechanism linking harmonious and obsessive sports fan passion and procrastination.

There is a dearth of research on how immigrants' cognitive attributes influence their willingness to be self-employed. To offset this paucity, the current study draws on the insights of social cognitive theory (SCT) to examine the immigrants' entrepreneurial alertness.

The authors hired Qualtrics to recruit educated, working immigrants in the USA and tested the hypotheses using a sample of 555 highly educated, employed immigrants from 92 home countries.

This study finds that immigrants' cognitive cultural intelligence (CQ) contributes to entrepreneurial alertness in a positive way. In addition, immigrants' perceived environmental differences and global identity positively moderate the relationship between cognitive CQ and entrepreneurial alertness.

This research provides a clear picture of how cognitive CQ impacts immigrants' entrepreneurial alertness; thus, the findings of this study offer ample implications for policymakers. By applying SCT, the current study extended research on immigrants' entrepreneurial alertness by shifting the focus from their individual (e.g. demographic background) or family characteristics to their cognitive attributes. This study suggests that policymakers and entrepreneurship education programs in the U.S.A. should consider offering various types of cultural training programs.