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This study aims to examine the relationship between contextual factors and career exploration. Career adaptability mediates the relationship between social support, sense of belonging and career exploration.

This quantitative study involved 291 undergraduates recruited from two universities in China. Data were analyzed using structural equation modeling.

The results indicated that social support and sense of belonging were positively related to career adaptability. Career adaptability was found to be a mediator between relational predictors and career exploration. Contrary to our hypothesis, the direct path from sense of belonging to career exploration was insignificant.

This study highlights the importance of career adaptability in connecting contextual indicators and career exploration in the Chinese context.

The purpose of this study is to theoretically discuss and empirically test the mediating effect of emotional exhaustion (EE) and the moderating effects of perceived coworker support (PCS) and positive affectivity (PA) in the relationship between abusive supervision (AS) and knowledge hiding (KH).

The authors adopted a three-wave survey to collect data from eight high-tech companies in north China. The final sample of 209 available responses was analyzed with hierarchical regression analyses and bias-corrected bootstrapping methods.

AS positively affected employees’ KH. EE fully mediated this positive relationship. PCS and PA attenuated the relationship between AS and EE, respectively, and the mediating effects of EE.

First, the study contributes to the knowledge management and leadership literature by examining the relationship between the following two dysfunctional workplace behaviors: AS and KH. Second, the authors explicitly tested the underlying psychological mechanism in the above relationship. Third, this study specified two ways – obtaining support from coworkers and generating positive emotions – to attenuate the toxic effects of AS on victims.

Modern financial theory has changed our way of thinking about numerous issues on the practical side of finance, many of which were previously regarded as the sacrosanct domain of experts, steeped in jargon and knowledge, and beyond the ken of that ordinary mortal, the layman. The main contribution of the new theories has been in practically helping us go about investing in shares, usually shares in publicly quoted companies. Thus it helps the external investor in the market in deciding in which share to invest, depending upon his own attitudes towards risk and return.

This study initiated an investigation of how the Macau–Zhuhai tourism cooperated and discussed how Macau and Zhuhai could join hands to develop tourism in the region. The study demonstrated an approach for destination marketing organizations to explore online tourist-generated content and to understand tourists' perceptions of the destination image (DI).

A total of 1,291,057 reviews (535,317 for Macau and 755,740 for Zhuhai) were collected, analyzed and examined to determine how the DI s of Macau and Zhuhai changed during the period of 2015–2019 based on tourist-generated content on travel websites (TripAdvisor, Ctrip.com and Qyer.com) through a text-mining approach.

The result revealed that Macau and Zhuhai were in a hybrid of competition and collaboration on tourism DI s. First, Macau and Zhuhai competed in hotel and catering industry. Macau was appealing to international tourists and provided high-end and prestigious offerings; while Zhuhai was impressed by cost-effective accommodation and food. Second, Macau diversified industrial structure with diverse “Tourism, Leisure and Recreation” and “Culture, History and Art” more than Zhuhai did. Meanwhile, Macau should balance the different demands of international and Chinese tourists. Third, complementary potentials were found in natural resources, urbanization technology and tourism innovation and related projects.

The research provides valuable insights for policymakers and industrial managers on their endeavors to develop DIs. Policymakers should be able to develop supportive mechanisms and tourism facilitators to promote industrial collaboration and mutual DIs. Managers could refer to the components in the changing DIs and identify the developmental gaps and cooperation potentials in their targeted areas.

The research fulfills the gap in regional tourism studies on Macau, in which the evaluation on synergetic influence and neighbor effect from Zhuhai has been underexplored. Facilitated by up-to-date data mining techniques, the study contributes to both DI and coopetition literature in tourism marketing; and this should inspire further studies on the antecedences of DI changes, resolutions to the competing interests and DIs of different stakeholders in different forms of strategic cooperation in regional tourism. The employment of DIs is an explicit demonstration of tourists' immersion and values attached to the destination, providing effective cues on the status of coopetition.

Improving the diversity of recommendation information has become one of the latest research hotspots to solve information cocoons. Aiming to achieve both high accuracy and diversity of recommender system, a hybrid method has been proposed in this paper. This study aims to discuss the aforementioned method.

This paper integrates latent Dirichlet allocation (LDA) model and locality-sensitive hashing (LSH) algorithm to design topic recommendation system. To measure the effectiveness of the method, this paper builds three-level categories of journal paper abstracts on the Web of Science platform as experimental data.

(1) The results illustrate that the diversity of recommended items has been significantly enhanced by leveraging hashing function to overcome information cocoons. (2) Integrating topic model and hashing algorithm, the diversity of recommender systems could be achieved without losing the accuracy of recommender systems in a certain degree of refined topic levels.

The hybrid recommendation algorithm developed in this paper can overcome the dilemma of high accuracy and low diversity. The method could ameliorate the recommendation in business and service industries to address the problems of information overload and information cocoons.

The purpose of this paper is to examine knowledge and attitudes about preconception health care among Chinese immigrants in Canada.

A cross-sectional internet-based survey, informed by the principles of the health belief model, was administered to a convenience sample in Ottawa, Canada. In total, 76 respondents from the Chinese community participated in the online survey.

Overall, participants demonstrated: low to moderate awareness of preconception related risk factors and preconception health; neutral to slightly positive attitudes toward carrying out preconception care; considerable confusion over the differences among preconception care, premarital health care (Mainland China), and prenatal health care; great sensitivity to subjective norms related to spouses, parents, and friends; and a strong desire for receiving information and communication from health care professionals.

An emphasis on reducing misperceptions and offering information about the preconception period and potential severe pregnancy-related risks may contribute to a better knowledge and intended behavior toward preconception care among Chinese immigrants, and ultimately optimize both their reproductive health and their future children’s health.

The cultural norms and population policies in the sending country may frame immigrants’ knowledge and attitudes related to preconception health care. This study fills the gap in the literature regarding Chinese immigrants’ knowledge levels and attitudes toward preconception care in Canada and thus offers insights into how to deliver culturally competent care and design effective communication strategies to reach out to ethnocultural communities.

The purpose of this paper is to put forward a demand chain management (DCM) framework underpinned by the alignment theory and applies it to investigate the fashion apparel (FA) industry in China under the impacts of the latest economic transition.

An exploratory multiple case study methodology involving five Chinese FA firms, each with a different business model and ownership type, was employed. Semi-structured interviews, onsite observations and review of company documents were conducted to collect information for analysis.

Using a conceptual DCM framework as a guide for analysis, the study finds that companies with a higher level of alignment with the external market situation and among the three internal DCM dimensions, namely, market management, supply chain management (SCM), and organization management, appear to perform better under the rapidly changing economic conditions in China.

This study contributes to knowledge by reviewing thoroughly the literature on SCM evolution and develops a DCM framework based on alignment theory that represents the state of the art in this area. By extending the administration-integration-production-development (A-I-P-D) logic set adopted in the alignment theory, this study has also equipped the proposed framework with an empirical tool to measure alignment.

By applying the framework to examine the Chinese apparel industry under the impacts of the latest economic transition, this study provides practitioners in the industry with a framework to help formulate strategies and a tool to measure alignment. The findings of the case study also offer insights to the industry to thrive in the rapidly changing businesses environment with dynamic uncertainties.

This study extends the application of the A-I-P-D logic set under the alignment theory to the SCM field. This endeavor successfully transforms the proposed DCM framework from a theoretical concept to a practical tool to help evaluate empirically the alignment and strategic fit of a firm and potential relationship with firm performance. As the Chinese FA market has increasingly evolved under the impact of the globalization, the findings of this study not only assist the local FA companies in coping with the dynamic uncertainties but also shed light on the future developments of the global FA industry. Besides, the alignment measurement tool embedded in the proposed DCM framework can help enhance the chances of business success during implementation.

This study aims to test the effect of individual audit quality on career advancement the audit labour market.

This paper uses data on auditors from two collapsed audit firms in China, namely, Ruihua and Zhengzhong Zhujiang, and tests the effect of individual audit quality on career advancement in the audit labour market.

The baseline results show that high-quality audits promote auditors’ career advancement. Our results hold after a battery of robustness tests. Further analyses support our hypothesis, indicating that client retention and audit fees are positively related to auditors’ prior audit quality. The effect of audit quality on career advancement does not hold for auditors from sanctioned branch offices or for auditors with prior culpable clients, as shared reputation damage can weaken the effect of high audit quality. Furthermore, this paper investigates whether the reputation enhancement effect of high audit quality can be strengthened by auditor experience, the title of “senior auditor” and IPO auditing experience. We also show that clients and audit firms place more weight on the quality of audits conducted by auditors in competitive markets and auditors with engagements matched with industries.

Together, these findings indicate the vital role of individual audit quality in auditors’ career development in the audit labour market, consistent with the reputation rationale for audit quality.

Although the short-video-based application TikTok and its AI-enhanced technology have achieved enormous success and reshaped the user experience, few studies have focused on the user experience in the TikTok context. This study adopts a technology affordance theory lens to identify the main mechanisms contributing to the user experience in the short-video platform context while including user experience level and video length as moderating effects.

This study collected 401 valid questionnaires from TikTok users and used the structural equation modeling approach to examine the proposed research model.

Three technology affordances (perceived effortlessness, perceived recommendation accuracy, and perceived recommendation serendipity) contribute to TikTok users' optimal flow experience. Multi-group analysis results further indicate that individuals react differently to the same stimuli as their experience level increases. Finally, video length critically influences the impact of technology affordances on users' cognitive responses.

As a burgeoning industry, the mechanisms enabling short-video platforms to engage users remain unclear to practitioners and researchers. Thus, this study's technology affordance lens provides necessary insights into how TikTok's innovative and advanced technologies contribute to user flow experience from a context-dependent perspective. Furthermore, given that most existing studies have neglected possible variations in user preferences when investigating the effects of technology, this study enriches the existing literature by employing user experience level and video length as moderators.