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The purpose of this paper is to explore and compare haze-related content between traditional and social media in China by applying agenda-setting theory and the extended parallel process model (EPPM). Specifically, this paper examines the correlation between the two forms of media in terms of the ranking of the attributes of haze (i.e. the EPPM components) and the interrelationships among the attributes.

Content analysis and semantic network analysis were employed to address the research aims.

The results revealed that more than half of the total messages on both types of media reflected the EPPM components, either threat or efficacy information. However, the imbalance between the threat and efficacy information was more prominent in the haze-related content presented in the People’s Daily than it was on Weibo. In addition, the results from a Spearman’s rank-order correlation and a quadratic assignment procedure (QAP) indicated that there was no significant correlation between the People’s Daily and Weibo in terms of the rankings of the attributes of haze (i.e. the EPPM components) or the interrelationships among the attributes.

This study is the first to apply a theoretical approach to examine and compare the nature of haze-related messages on traditional and social media.

Following the call to explore what leadership theory could be applicable in temporary organizations, the purpose of this study was to develop an integrative model linking the effects of paternalistic leadership styles (i.e. authoritarian, benevolent and moral) on the behavioral integration (BI) of top management teams (TMTs) in megaproject settings.

The performance of the research model was tested based on empirical data collected from a sample of 43 megaproject TMTs.

The results show that the moral leadership style can significantly stimulate the BI of TMTs, whereas authoritarian leadership has a negative impact and benevolent leadership has no significant impact. Furthermore, trust in leader plays a partial mediating role between paternalistic leadership and BI, and the power distance value of TMT positively moderates the links between authoritarian and moral leadership styles and BI.

The TMT sample was drawn from China's megaprojects, most of which have global influence (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), but the sampling approach limits the generalizability of the research findings to other contexts.

This study introduces the concept of BI into the realm of megaproject management and provides a novel perspective (i.e. paternalistic leadership) for exploring its antecedents. The findings, therefore, contribute to the literature by broadening the megaproject management research with a microfoundation perspective and by extending the extant paternalistic leadership in the context of temporary organizational settings.

The purpose of this paper is to analyze the relationship between the demographic characteristics of top management teams (TMTs) (i.e. age, gender, administrative level, senior management experience and educational background) and megaproject performance, with respect to schedule, cost, quality, safety and technological innovation. The results shed new light on the effectiveness of different types of TMT.

This paper collected secondary and objective data from 208 TMT members in 42 megaprojects and employed hierarchical regression analysis to test the research hypotheses.

The findings revealed that age has a significant influence on schedule performance; gender has a significant influence on safety performance; senior management experience has a significant influence on cost performance; and educational background has a significant influence on both schedule and technological innovation performance. However, this study did not find evidence of a significant relationship between the administrative level and megaproject performance.

This paper mainly focused on China’s megaprojects, most of which are globally influential (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), however this sampling approach still limits the generalizability of research findings to other contexts.

The results of this paper contribute to a better understanding of how management team capabilities translate into better project achievements. This paper also provides implications on the criteria for selecting top megaproject managers to optimize the composition of the TMT and realize better performance.

Low levels of human capital in rural China are rooted in the poor schooling outcomes of elementary school students. The purpose of this paper is to provide insight into the distribution of academic performance in rural China and identify vulnerable groups.

The authors draw on a data set of 25,892 observations constructed from 11 school-level surveys spanning nine provinces and one municipality in China conducted from 2013 to 2015.

The authors find that the distribution of academic performance is uneven across provinces and subgroups. In general, male students, Han, living in richer counties, living with their parents and studying in rural public schools do better academically than female students, non-Han, living in poorer counties, left behind and studying in private migrant schools in cities.

Using the results of this study, policymakers should be able to better target investments into rural education focusing on at risk subpopulations.

With limited data sources, the research on the academic performance of students in rural China is largely absent. The findings of this study help to fill the gaps in the literature base.

The main purpose of the study is to investigate the influence of live streaming participation on purchase intention, specifically focusing on how fear of missing out (FOMO) impacts live streaming purchase intention and its subsequent effect on inaction inertia. Additionally, the study aims to ex-amine the indirect influence of FOMO on the relationship between live streaming participation and purchase intention.

The research employs SEM to assess the properties of measures. The investigation consists of four main constructs: live streaming shopping participation, fear of missing out, live streaming purchase intention, and inaction inertia. Live streaming shopping participation is further divided into two dimensions: live streaming immersion and live streaming social presence, with the latter encompassing social presence and telepresence.

The study reveals the significant role of FOMO in livestream shopping. Viewers' fear of missing out on information and products presented in livestreams results in heightened attention to these streams and an elevated willingness to purchase. This finding emphasizes the impact of FOMO emotions in driving consumer action and purchasing intent, particularly in situations of product scarcity.

The study uniquely explores FOMO as a factor disrupting consumer inertia, influencing decisive purchasing. It shows that FOMO enhances perceived value of products, altering consumer behavior in live streaming and e-commerce, thus providing a novel perspective on FOMO’s extended impact.

The purpose of this paper is to understand the role of perceived threat, brand congruence, and social support on consumer coping strategies for a preventative health service.

An online survey of 570 women aged over 50 in one Australian state was conducted (users and non-users of the service). The data were analyzed using structural equation modeling.

A competing models approach reveals that threat on its own is associated with avoidance coping; however, when brand congruence is high, there is an association with active coping. Social support appears to have a buffering effect on threat and is associated positively with active coping and negatively with avoidance coping.

The study findings suggest that threat appeals should be used with caution in increasing participation in transformative preventative health services due to its double-edged sword effect (increasing both avoidance and active coping). When consumers have social support, this results in active coping and buffers avoidance coping. This research offers useful insights for social marketing and transformative service research.

This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.

The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.

Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.

The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.

This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.