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The purpose of this paper is to examine the relationships among athlete star power, enjoyment and revisit intention of sport event tourists in a sport mega-event (SME).

This study was conducted in the context of 2018 PyeongChang Winter Olympic Games. A total of 419 respondents completed a survey. Structural equation modeling was used to analyze the data.

This study proved the final structure model fit well by having the values and scores higher than the minimum cutoff in all categories. Path coefficients indicate that H1a, H1c and H2 were supported while H1b was not supported by the analysis. In addition, enjoyment partially mediated the relationship between athlete star power and revisit intentions. In particular, two mediating effects were found: enjoyment mediated trustworthiness and revisit intention and expertise and revisit intention. However, enjoyment did not mediate the relationship between attractiveness and revisit intentions.

The limitation of this study lies within two perspectives. Since the data have been collected in one country, the results may be viewed and interpreted for a specific location and time. Thus, it is strongly recommended to conduct the similar studies in the future Olympic Games. In the other perspective, the results could be different from one to another sport game because of the popularity by star power and game itself.

This study adds the literature on sport event research. Although there were a few studies on the effect of athlete star power, a dearth of research examined the relationships among athlete star power (trustworthiness, attractiveness and expertise), enjoyment and revisit intention. These results are valuable to SME managers to increase the propensity of tourists’ revisit intention at sport mega-event by understanding the factors that lead to increased tourist enjoyment.

The purpose of this study was to examine the influence of para-sport spectator motivation on spectator revisit intentions and the mediating effect of attitude on motivation and revisit intentions.

This study was conducted in the context of the 2018 PyeongChang Winter Paralympic Games. A total of 350 respondents completed a survey. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

Inspiration, supercrip image, physical skill/aesthetics, and social interaction had strong influences on attitudes toward Winter Paralympics, and attitude was also shown to have a strong impact on revisit intentions. The results also revealed the mediating effect of attitude on para-sports motivation factors (inspiration, supercrip image, physical skill/aesthetics, and social interaction) and revisit intentions.

This study extends the literature on para-sport spectator motivation. Although there are a few studies examining spectators' motivation to attend para-sport events, there is limited research on the relationships among motivation, attitude, and revisit intention based on consumer attitude theories. The results are valuable to sport managers in increasing the propensity of para-sports events by understanding the factors that lead to changes in attitudes and increases in future attendance.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an important role in organizational knowledge management, empirical research on the practices for its application is underdeveloped. This study aims to examine the role of idiosyncratic job-design practices (i.e. job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) in cultivating personal knowledge management among knowledge workers in organizations, to increase their productivity and safeguard the organization against knowledge loss arising from knowledge workers’ interfirm mobility.

Data were collected from 221 knowledge workers pursuing various knowledge-intensive jobs through a questionnaire survey and were analysed using partial least squares modelling.

The results demonstrated that three job-design practices (job definition, innovation as a job requirement and lifelong learning orientation) have a positive impact on personal knowledge management among knowledge workers and thus improve their productivity. However, job autonomy can affect personal knowledge management negatively.

The findings are confined to a specific context and should be replicated across different contexts for better generalizability in future research.

Organizational managers should pay attention to (re)designing knowledge-intensive jobs to cultivate personal knowledge management by clearly outlining job responsibilities, offering opportunities to add relevant job activities and drop irrelevant ones, and making innovation and lifelong learning a formal job requirement. In addition, job autonomy should be judiciously provided along with sufficient social and network support to avoid lost opportunities in knowledge creation and sharing, and should be linked to job responsibilities and performance appraisals to avoid negative effects.

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. This study contributes to the literature by addressing the research gap in two aspects. Firstly, based on Drucker’s theory, this study identifies four idiosyncratic job-design practices (job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) that reflect the distinctive characteristics of knowledge-intensive work. Secondly, this study examines whether and how these practices can cultivate personal knowledge management among knowledge workers, which can support their productivity.

Knowledge management in the public sector is relatively an ignored avenue of research and practice that has recently been given attention. Knowledge management initiatives in the public sector are now not limited to the developed countries anymore. The public sectors of various developing countries including Pakistan have developed knowledge management functions to address the problems of low organizational commitment (higher turnover rates) and knowledge-workers’ performance. Consequently, the purpose of this paper is to examine the mediation role of organizational commitment in the relationship between knowledge management practices and knowledge-worker performance.

The data were gathered from 341 knowledge workers of the public sector health department of Punjab Province, Pakistan, where knowledge management unit initiative has been taken. It was then analyzed using the structural equation modeling.

Organizational commitment partially mediates the relationship between knowledge management practices and knowledge-work performance.

The public sector policy makers are strongly advised to implement knowledge management units and practices in order to enhance knowledge-work performance as well as organizational commitment.

First, the model on the mediating role of organizational commitment has never been examined before. Second, the data collection from the public Health Department of Pakistan, a developing country, is relatively rare because the public sector knowledge management studies have mostly been conducted in developed countries. Finally, this study extends the literature on knowledge management in the public sector that is the developing theme in knowledge management discipline while adding knowledge management as a toolkit to enhance knowledge-workers’, organizational commitment and knowledge-work performance.

This study embraces the call for exploring the determinants of continuous intention in TikTok. Taking the perspective of social influence, this study not only tries to explore the contextual sources of two types of social influence but also aims to unveil the influence mechanism of how social influence affects TikTok viewers’ continuous intention.

This study empirically analyzes how TikToker attractiveness, co-viewer participation, platform reputation and content appeal affect informative and normative social influence and then lead to the continuous intention of TikTok. Based on 547 valid survey data, this study adopts a mixed analytical approach for data analysis by integrating structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

SEM results unveil that content appeal is the most critical antecedent of informational social influence, while the TikToker attractiveness and platform reputation have no effect on it. Differently, all four external sources positively lead to normative social influence. Among them, content appeal and co-viewer participation influence the most. The influences of both two types of social influence on continuous intention are demonstrated. FsQCA results reveal seven alternative configurations that are sufficient for influencing continuance intention and further complement and reinforce the SEM findings.

Addressing the critical contextual elements of TikTok, this study explores and confirms the sources which may engender social influence. The authors also demonstrate the critical role of social influence in affecting TikTok viewers’ continuous intentions by the hybrid analytical approach, which contributes to existing academic literature and practitioners.

In this age of extremely well-developed social media, it is necessary to detect any change in the corporate image of an enterprise immediately so as to take quick action to avoid the wide spread of a negative image. However, existing survey-based corporate image evaluation methods are costly, slow and static, and the results may quickly become outdated. User comments, news reports and we-media articles on the internet offer varied channels for enterprises to obtain public evaluations and feedback. The purpose of this study is to effectively use online information to timely and accurately measure enterprises’ corporate images.

A new corporate image evaluation method was built by first using a literature review to establish a corporate image evaluation index system. Next, an automatic text analysis of online public information was performed through a topic classification and sentiment analysis algorithm based on the dictionary. The accuracy of the topic classification and sentiment analysis algorithm is then calculated. Finally, three internet enterprises were chosen as cases, and their corporate image was evaluated.

The results show that the author’s corporate image evaluation method is effective.

First, in this study, a new corporate image evaluation index system is constructed. Second, a new corporate image evaluation method based on text mining is proposed that can support data-driven decision-making for managers with real-time corporate image evaluation results. Finally, this study improves the understanding of corporate image by generating business intelligence through online information. The findings provide researchers with specific and detailed suggestions that focus on the corporate image management of emerging internet enterprises.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

Live streaming sales (LSS) is an emerging and flourishing practice in the retail industry. While its implementation has been pervasively attempted, there is a lack of systematic and academic exploration of the practice. Therefore, the aim of this study was to investigate the LSS ecosystem and its development through a literature review and an industry analysis. Moreover, by pinpointing the pitfalls in current practices, this paper presents the practical implications of LSS and provides recommendations and directions for future academic exploration.

The aim of the present study was to investigate the developing trajectory, exclusive elements (such as multi-channel networks (MCNs) and live streamers) and other critical components of the LSS ecosystem using a mixed-methods approach that comprises content analysis of newspaper articles and press releases, literature view and industry analysis.

The results of the analyses indicate the presence of several nonfungible modular components in the LSS ecosystem, including upstream suppliers, MCNs, live streamers and platforms. It was also found that inequalities and hierarchies are inherent to the LSS ecosystem as it currently exists: low-end participants in the LSS industry and small- and medium-sized enterprise owners, who constitute the majority of LSS practitioners, cannot reach the break-even point via LSS hosted by top-level live streamers or others (low-level live streamers, employees, etc.).

This article discusses the LSS ecosystem based on the nature of the nonfungible modules within it. In addition, it discusses the modules (roles) and relationships among them based on the theory of ecosystem developed by previous studies. Furthermore, drawing from an analysis of the pitfalls in the LSS ecosystem, this article highlights strategies for two critical e-commerce processes: 1) choosing which type of LSS to apply based on the factors of brands, products and consumers and 2) integrating LSS to optimize post-sale service and appeal to the sustainability of development.

The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature research.

The study synthesized the literature research by using a mixed method approach in which both Web of Science (WoS) and bibliographic techniques were used to retrieve the relevant data base.

The comprehensive review of the literature suggests that communication technology (CT), massive open online courseware (MOOCs), social networking sites (SNSs), blogs, real simple syndication (RSS) and YouTube are creating new possibilities and avenues of collaborative learning by transforming the traditional class and teacher-centric system.

Multiplicity of the IBL platforms and rapid technological obsolesce are some of the limitations of this paper.

The findings of this study are highly useful in developing a strategic framework to accelerate the integration of IBL platforms to make teaching learning process more interactive and informative.