Search results

Previous research on the relationship between cheif executive officer (CEO) and organizational performance focused primarily on behavior and demographic variables, but was seldom based on the CEO cognition perspective. To fill this gap, the purpose of this paper is to explore the relationship between CEO cognition and organizational performance.

Taking CEO golden‐mean thinking as an independent variable, organizational performance as dependent variable, ambidextrous orientation as a mediating variable, interdependence and connectedness as moderating variables, and using a multi‐source data collection approach, data were collected from 193 Chinese firms to test the hypothesis by adopting hierarchical regression model.

CEO golden‐mean thinking is found to have significantly positive impacts on ambidextrous orientation and organizational performance. Ambidextrous orientation plays a partial mediating role between golden‐mean thinking and organizational performance, while independence and connectedness play joint moderating roles between ambidextrous orientation and organizational performance. The three‐way interaction among ambidextrous orientation, connectedness, and interdependence has a significantly positive effect on organizational performance.

CEOs should not only improve organizational performance through diversified, harmonious, and integrative thinking, but also enhance the ambidextrous ability by building ambidextrous orientation, connectedness, and interdependence mechanism in order to promote organizational performance.

As one of the most salient thinking characteristics in Chinese traditional culture, golden‐mean thinking increasingly has attracted scholars' attention. However, no previous scholar has applied this construct into leadership theory.

This study aims to investigate the impact of cross-border charitable activities on host- and home-country consumers based on the social identity theory.

Through an extensive literature review and two experimental designs, this study establishes the research framework and hypothesises the relationships between the constructs.

National power moderates the impact of cross-border charitable activities on host- and home-country consumers. In particular, compared to countries with high national power, countries with low national power undertaking cross-border charitable activities will receive more positive reactions from the host-country consumers, and, conversely, more negative reactions from the home-country consumers.

From the consumer perspective, this study finds that brand cross-border charitable activities have different influences on consumers in different countries because of an identity transformation mechanism that exists between the “insiders” and the “outsiders”, which is different from the assumptions of western theories.

The findings provide insights for undertaking brand cross-border charitable activities.

Previous studies, which are based on social identity categorisation, assume that cross-border charitable activities have a more positive impact on home-country consumers than host-country consumers. However, this study adopts the research paradigm of social identity relationisation and draws an opposite conclusion, which not only expands the theory of local intergroup interaction, but also clarifies how brand cross-border charitable activities influence Chinese consumers.

The purpose of this paper is to explore the influencing factors of cost performance of design-bid-build (DBB) and design-build (DB) projects and comparing the differences of influencing factors between these two delivery methods.

This research identified and refined 14 influencing factors through literature review and academic expert discussions. Questionnaire survey was conducted to collect data about the influencing factors and project cost performance. Then those factors were reduced to four components by factor analysis. Logistic regression analysis is used to investigate the relationship between four principal components and project cost performance.

The results indicate that the significant influencing factors of project cost performance of DBB projects and DB projects are different. For DBB projects, owner abilities, such as owner team ability, owner experience, and owner finance, are important influencing factors causing cost overruns, while for DB projects cost performance is more sensitive to the contractor abilities, namely, contractor team ability, contractor finance, contractor experience, etc.

The results of the paper are mainly derived by quantitative research method based on the survey of 144 samples, so the results may need validation by qualitative studies. Further research could apply case study or interview to validate the findings in this research. In addition, project type and location are not considered as control variables due to the limited number of samples, future research could be conducted to investigate their relationship with project performance.

The findings of this research not only help practitioners have a better understanding of the factors influencing project cost performance, but also provide some guidelines for practitioners to pay attention to different factors to better control the cost performance within different delivery systems.

Owner ability and contractor ability are found to be of different importance in influencing cost performance of DBB and DB projects. This research extends previous research on cost management by considering different significant factors in influencing project cost performance within DBB and DB projects.

The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.

Drawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.

First, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.

The extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.

This paper aims to investigate the impact of financial anxiety and convenience on the relation between cashier-less versus traditional checkouts and purchase intentions among Saudi Arabian consumers.

In an online experiment, 329 Saudi participants were randomly assigned to one of two checkout conditions (traditional vs. AI-enabled) in a between-subjects design and indicated their financial anxiety. Through moderation-of-process design, the authors examine and showcase that the effect of convenience leads to higher purchase intent for AI-enabled checkouts. Moreover, the authors examine financial anxiety as an underlying mechanism and show that for high-convenience consumers, this enacts higher purchase intent.

The effect of AI-enabled checkouts depends on consumers' convenience perception. High-convenience consumers prefer AI-enabled checkouts over traditional ones, whereas low-convenience consumers are indifferent. Based on the Roy adaptation model theoretical framework, this occurs because high-convenience consumers experience greater financial anxiety when using AI-enabled checkouts, which in turn leads to higher purchase intent.

To the authors’ knowledge, this is the first study to explore the reactions of Saudi Arabian consumers toward cashier-less stores versus traditional stores. Interestingly, their intent to purchase increases, due to the financial anxiety they experience while encountering AI-enabled transactions. Due to the limited research of retailers going cashier less, little is known about consumer reactions and how they may differ culturally.

This paper aims to explore empirically the emergence of entrepreneurs in China’s transition context since the 1980s.

This paper applies the China Private Enterprises Survey Database and historical evidence and Chi-Square test to identify the emergence patterns of China’s entrepreneurs in different historical stages.

This longitudinal study finds that factors such as working experience, education background and social connection had strong influences on entrepreneurship, but the impact of these have varied significantly along with institutional changes over the past three decades. It also identifies that the majority of emergent entrepreneurs were formerly low-level public servants and high-qualified managers in state-owned enterprises. Additionally, significant trends including an increasing number of female entrepreneurs, a decreasing impact from political networks, improving investment in innovation and diversifying financial sources are also found.

This paper is the first to apply the Chinese Private Enterprises Survey database to investigate the emergence patterns of China’s entrepreneurs in different historical stages after the 1978 reform.

This paper aims to investigate the effect of artificial intelligence (AI)-enabled checkouts on consumers’ purchase intent and evaluations of the retailing atmosphere. It also offers novel findings pertaining to the mediating role of arousal and moderation by innovativeness importance on consumers’ responses toward AI-enabled checkouts.

Three pilot studies, two field studies and one online experiment featuring 1,567 respondents were conducted by manipulating checkout methods.

AI-enabled checkouts lead to a higher level of arousal, which, in turn, yields more favorable store atmosphere evaluations and higher purchase intent. Furthermore, the positive effect of AI-enabled checkouts is moderated by consumers’ innovativeness importance.

This research contributes to the emerging body of AI research and demonstrates a novel perspective by illuminating that under certain circumstances, AI-enabled checkouts lead to more positive outcomes relating to store atmosphere evaluations and purchase intent, as well as the unintended effect of heightened arousal.

This study shows how marketers and practitioners can promote consumers’ evaluations and patronage likelihood effectively by harnessing AI-enabled checkouts for those who consider innovativeness as important.

This research documents the novel findings of how and when AI-enabled checkouts garner more favorable consumer responses.

This research examines whether anthropomorphizing artificial intelligence (AI) chatbots alters consumers' risk preferences toward financial investment options involving differential risks.

An experimental approach has been adopted with three studies, all featuring a between-subjects design.

Through three studies, the findings document that, in a financial decision-making context, anthropomorphizing AI leads to significantly greater risk aversion in investment decision-making (Study 1). This occurs because AI-enabled chatbot anthropomorphization activates greater psychological risk attachment, which enacts consumers to manifest stronger risk aversion tendency (Studies 2 and 3).

Anthropomorphizing AI has undeniable relevance in the contemporary marketing landscape, such as humanoid robotics and emotion AI algorithms. Despite of anthropomorphism's significance and relevance, the downstream impact of anthropomorphism remains unfortunately underexplored.

The purpose of this paper is to review the operation and maintenance practices within wind power applications and to clarify practical needs as gaps between researchers and practitioners.

The paper collects, categorizes, and analyzes the published literature of both researchers and practitioners systematically.

The paper defines significant issues in operation and maintenance of wind energy related to: site and seasonal asset disturbances; stakeholders’ requirements trade‐off; dependability and asset deterioration challenges; diagnostic, prognostic and information and communication technologies (ICTs) applications; and maintenance optimization models. Within each category, the gaps and further research needs have been extracted with respect to both an academic and industrial perspective.

The use of wind energy is growing rapidly and the associated practices related to maintenance and asset management are still lacking. Therefore, the literature review of operation and maintenance is a necessity to uncover the holistic issues and interrelationships of what has so far been published as detailed and fragmented topics to specific issues. Wind energy assets represent modern renewable energy assets which are affected by environmental disturbances, rapid technological development, rapid scaling‐up processes, the stochastic and dynamic nature of operations and degradation, the integrity and interoperability of system‐to‐support.

The paper provides a comprehensive review of research contributions and industrial development efforts. That will be useful to the life cycle stakeholders in both academia and industry in understanding the maintenance problem and solution space within the wind energy context.

The mega railway infrastructure projects are faced with complex environments and multi-level management challenges. Thus, the mega railway infrastructure project management system not only needs to focus on its composition, but also needs to consider changes and impacts of internal and external environment.

This study attempts to introduce the concept of dissipative structure from the perspective of complexity theory and constructs a positive entropy and negentropy flow index system for mega railway infrastructure project management system in order to analyze the factors of management system more deeply. The Brusselator model is used to construct the structure of the mega railway infrastructure project management system, and the entropy method is used to calculate the positive entropy and negentropy values to verify whether the management system is a dissipative structure.

A plateau railway project in China was used as an example for an empirical study, not only its own characteristics are analyzed, but also the role of constraints and facilitation of the internal and external environment. Based on the research results, several effective suggestions are put forward to improve the stability and work efficiency of mega railway infrastructure project management system.

This study demonstrates that mega railway infrastructure project management system has the characteristics of dissipative structure. It can provide theoretical support for the development of mega railway infrastructure project management system from disorderly state to orderly state.