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Social media sites facilitate electronic word of mouth (eWOM) communication among consumers of diverse cultures and ethnicities. Based on the theory of planned behaviour (TPB), the present research proposes a conceptual framework for minority consumers' engagement in eWOM associated with the mainstream culture. The model incorporates social capital and social interaction as key factors that affect cross-cultural eWOM communication between minority and mainstream consumers. This research also aims to explore the responses of minority consumers to eWOM communications originating with members of the majority group.

A structural equation modelling (SEM) procedure was applied to data collected from social media (Facebook) users (N = 539) from two minority communities: Israeli Arab and Israeli Ultra-Orthodox Jewish minorities.

The findings show that: (a) minority consumers' engagement with eWOM is indirectly related to social capital, (b) this relationship is mediated by minority consumers' attitudes and their subjective norms regarding eWOM engagement with dominant cultural groups, (c) social interaction of minorities with the dominant culture enhances the influence of social capital on eWOM engagement and (d) behavioural engagement with eWOM varies across cultural minorities, depending on the minority group’s unique cultural characteristics.

The findings have managerial implications for practitioners who use social media in their marketing and business activities, as they demonstrate that the effectiveness of eWOM communication is contingent on the cultural characteristics of the ethnic minority consumer groups being targeted by managers.

The present research contributes to the theory of consumer engagement by demonstrating that engagement is contingent on the intercultural social context in which eWOM is communicated.

Situated in the context of India, where women’s representation on corporate boards remains low, this study aims to explore whether and how tokenism impacts the behaviours of female directors.

The boardroom experiences and perceptions of 14 women directors are explored through semi-structured interviews and analysed using an inductive and interpretive process. Also, to get a counter perspective and avoid the social desirability bias from the women participants’ responses, 16 men directors are interviewed.

The study finds that, as gender minorities, women directors' visibility on boards can create performance pressures on these women. To counter gender-based prejudices, women directors consciously alter their behaviours and project both male and female traits consistent with the director role. By doing so, women directors overcome tokenistic stereotypes and are accepted as part of the director in-group, irrespective of their numeric representation on the board.

The research has implications for governments attempting to increase women’s board presence through affirmative actions and for firms aiming to improve the gender diversity of their board composition.

These findings present an alternative perspective on women directors’ board behaviour by exploring the applicability of Western trends on tokenism and critical mass in the context of India, adding to the vast body of literature concerned with minorities on corporate boards.

This study aims to investigate the critical success factors of digital transformation in the construction industry and identify whether the respondents' profiles influence their perceptions of critical success factors for digital transformation.

To achieve the objectives, a literature review was first conducted based on technology-organization-environment (TOE) framework. Then a questionnaire survey was carried out. A total of 86 people were surveyed in this study, mainly from the construction industry. At the level of data processing, SPSS was used for analysis. Among the main tests used were the Shapiro–Wilk test, reliability analysis, mean rank analysis, Kruskal–Wallis test and Mann–Whitney U test.

The study identified 15 critical success factors of digital transformation and found the three most important factors of digital transformation. Furthermore, respondents with different years of experience, enterprises with different sizes and different years made no difference in the perception of factors. Respondents' different occupations and types of enterprises created a bias in the perception of factors for digital transformation.

Firstly, the small sample size of the questionnaire limits the reference value of data analysis for certain groups. In addition, this study focuses broadly on construction enterprises without specifically examining different types of enterprises, thus lacking depth in its findings.

This study establishes a connection between TOE theory and the construction industry through an extensive literature review, identifying relevant factors and providing a reference for future research.

The study's results would enrich the research on digital transformation in the construction industry and provide a reference for the digital transformation of construction enterprises.

The replenishment of construction materials heavily relies on the functioning of heavy machinery, which often leads to confusion and negotiations among construction work groups regarding the allocation rights of these materials. When multiple groups require the same construction materials, they often struggle to determine whether the delivered materials are intended for their own use or if they have encroached upon supplies designated for others. Such uncertainties and negotiations frequently result in delays in construction progress and have the potential to escalate into conflicts. To minimize misunderstandings among work groups and mitigate the risk of severe safety consequences, it is crucial to understand the decision-making processes involved in the interaction between work groups.

This paper adopts a game theory approach to examine the interactions among work groups from a safety perspective. Quantum response equilibrium (QRE), as a specialized form of game with incomplete information, is assumed to govern the behavior of work groups in this study. By conducting a questionnaire survey, interactive scenarios were simulated. A resource overlap scenario for high-altitude construction is established, with the key factors being the importance of construction materials, the time required to supplement materials, whether managers are present and the climate within the groups. The model parameters were estimated using the expectation–maximization algorithm. Additionally, individual traits and safety awareness are surveyed in the questionnaire, further explaining the results of the game.

The findings indicate that the likelihood of conflicts between work groups under resource overlap can be quantified. The radical behavior of construction work groups exhibits a positive correlation with the importance of construction materials and the time required for material replenishment. Furthermore, the presence of a safety climate and the oversight of management personnel play a significant role in maintaining the composure of construction work groups. The expanded results of the questionnaire demonstrate that there is considerable room for improvement in workers' safety awareness, and management approaches can be further enhanced to prevent unsafe behaviors from occurring.

A novel game theory model was developed to evaluate the behavior of construction groups in situations of resource overlap. This model offers practical suggestions to improve safety performance and efficiency in construction projects.

Digital transformation and innovation-driven development have become an international consensus. The purpose of this paper is to examine the effects of relationships, mechanisms and economic consequences between digital transformation and enterprise innovation quality in order to provide a benchmark for developing countries to implement digital transformation strategies and innovation-driven strategies and provide a major support for economic recovery in the post-coronavirus disease 2019 (COVID-19) era.

Using microdata from A-share listed enterprises in Shanghai and Shenzhen from 2010 to 2021, this study examines the relationship between digital transformation and enterprise innovation quality and further reveals the internal logic and economic consequences of digital transformation to improve enterprise innovation quality through the mediating effect and moderating effect models.

The results demonstrate that digital transformation is beneficial for improving enterprise innovation quality. The heterogeneity test demonstrates that digital transformation has a larger effect on improving enterprise innovation quality in non-state-owned enterprises and eastern enterprises in China. The mechanism test demonstrates that digital transformation can improve enterprise innovation quality by improving internal control quality and analyst attention. Furthermore, with the increase in enterprise innovation inputs, digital transformation plays a significantly stronger role in improving enterprise innovation quality. The extended analysis demonstrates that digital transformation can significantly improve enterprise financial performance by improving innovation quality.

First, the construction of the core explanatory variable digital transformation index in this study is based on the Python data analysis software, which calculates the frequency of digital transformation in the text of the business situation analysis portion of the annual report of the listed companies and then obtains the degree of digital transformation of the company in this year. There may be some deviation from the degree of digital transformation in the actual production and operation of enterprises. Second, in addition to internal control quality and analyst attention, are there other mediating mechanisms for the impact of digital transformation on the quality of enterprise innovation? Third, whether the moderating effect of innovation input on digital transformation and innovation quality is related to human capital factors of the research and development (R&D) team, such as the technical background of R&D personnel, etc.

This study enriches the relevant theories of digital transformation and broadens the research boundaries of digital transformation and enterprise innovation. This study's result provides an empirical basis for enterprises to improve enterprise innovation quality and financial performance from the perspective of digital transformation at the micro level and points out specific practical directions, combining theory with practice.

Although employee overqualification is a common occurrence in the workplace, most research has focused on overqualification at the individual level rather than at the team level. Drawing on social cognitive theory, this study aimed to uncover how leaders' perception of team overqualification influenced their cognition and follow-up behavior.

We performed two studies to test our model. In Study 1, we conducted an experiment to examine the causal relationship between leaders' perception of team overqualification and leadership self-efficacy. In Study 2, a two-wave field study was conducted to test the overall model based on a sample obtained from a steel company in China.

We found that leaders' perception of team overqualification reduced leadership self-efficacy, which in turn hindered leaders' empowering behavior. In addition, leaders' social face consciousness strengthened the negative relationship between leaders' perception of team overqualification and leadership self-efficacy, such that the relationship was more negative when leaders' social face consciousness was high rather than low.

Our study contributes to the literature on employee overqualification and its effects on leaders through investigation at the team level to show how leaders respond to overqualified teams.

This paper aims to explore the challenges and opportunities faced by buying centers in small and medium enterprises (SME) manufacturing companies in view of recent technological changes and the virtualization of communication.

This study uses a qualitative approach with multiple case studies to portray complex realities within the buying centers in the manufacturing SME context. The authors selected five Italian companies to portray the diverse characteristics, practices and policies of relevant stakeholders before reaching saturation with the issues explored.

The authors find that interactions among buying center members are more effective with greater collaboration and exchange (as opposed to competition and a struggle for power). Virtual/hybrid relations require greater intra-group cooperation, whereas diverse backgrounds and collaborative interactions help the flexibility and performance of the buying center. Greater use of technology produces certainty and automation, but it may also cause overload and biases that can be solved with the ability to analyze and clear responsibility for decisions.

The authors studied only five Italian companies in this study. Future research in other countries with diverse cultural and socio-economic conditions and methods would help extend this research.

The findings would improve the understanding of the challenges of adopting new purchase process technologies that would help automate routine tasks, produce useful data and support decision-making.

Unlike prior studies, this study uses an exploratory design to study the evolution of buying centers in SMEs to seek deeper insights into the challenges and opportunities faced by SMEs because of the growing use of emerging technologies.

This paper investigates the usage and trust of Chinese social media in the travel planning process (pre-trip, during-trip and post-trip) of Chinese tourists.

Through a combination of structured online survey (n = 406) and follow-up interviews, the research identifies the diversification of the demand-and-supply patterns of social media users in China, as well as the allocation of functions of social media as tools before, during and after travel.

Social media users are diverse in terms of their adoption of social media, use behaviour and scope; the levels of trust and influence; and their ultimate travel decisions and actions. Correlations between the level of trust, influence of social media and the intended changes in travel decisions are observed. Destination marketers and tourism industries should observe and adapt to the needs of social media users and potential tourist markets by understanding more about user segmentation between platforms or apps and conducting marketing campaigns on social media platforms to attract a higher number of visitors.

This paper demonstrated the case of social media usage in mainland China, which has been regarded as one of the fastest growing and influential tourist-generating markets and social media expansions in the world. This study further addressed the knowledge gap by correlating social media usage and travel planning process of Chinese tourists. The research findings suggested diversification of the demand-and-supply pattern of social media users in China, as well as the use of social media as tools before, during and after travel. Users were diversified in terms of their adoption of social media, use behaviour, scope, the levels of trust, influence and the ultimate travel decisions.

Destination marketing organizations should note that some overseas social media platforms that are not accessible in China like TripAdvisor, Yelp, Facebook and Instagram are still valued by some Chinese tourists, especially during-trip period in journeys to Western countries. Some tactics for specific user segments should be carefully observed. When promoting specific tourism products to Chinese tourists, it is necessary to understand the user segmentation between platforms or apps.

Social media is a powerful tool for tourism development and sustainability in creating smart tourists and destinations worldwide. In China, the use of social media has stimulated the development of both information and communication technology and tourism.

This paper empirically addresses the effect of coercive, normative and mimetic pressures on sustainability results, focussing on the three dimensions of the triple bottom line approach: environmental, economic and social. The mediating role of compliance, analyser or proactive corporate strategies towards sustainability is also considered.

The hypotheses developed in this study were tested using data from a sample of private companies from two industries: manufacture of chemicals and chemical products, and manufacture of basic metals.

The results confirm the role played by institutional pressures for sustainability in explaining the involvement of organisations in economic, social and environmental aspects. The mediating effect of corporate strategy is also confirmed, although only for environmental aspects.

Research into sustainability development is evolving rapidly; however, few studies have explored its diffusion amongst organisations from a triple bottom line perspective by considering the role of different current external pressures, the corporate strategy and the diverse results.

本研究擬對強制壓力、規範壓力和模仿壓力對可持續性成果的影響進行實證研究。研究的焦點放在三重底線法的三個層面上,即是環境層面、經濟層面和社會層面。研究人員亦探討尋求可持續性的承諾、分析儀和積極主動的公司戰略的中介作用。

研究人員測試其建立的各項假設; 使用的數據取自兩個企業的私人公司的樣本,它們是製造化學品和化學產品的企業,以及製造基本金屬的企業。

研究結果確認了尋求可持續性所帶來的制度壓力,在解說企業於經濟、社會和環境三方面的參與上所扮演的角色。研究結果亦確認了公司戰略的中介作用,唯這只見於環境的層面上。

探討可持續性發展的學術研究發展迅速,唯當中較少從三個基本的角度去探討可持續性發展在組織內的傳播; 本研究考慮了目前各種外來壓力、公司戰略和不同的結果所扮演的角色,以彌補這研究差距。

Agile project teams are self-managing and self-organizing teams, and these two characteristics are pivotal attributes of emergent leadership. Emergent leadership is thus common in agile teams – however, how these (informal) emergent leaders can be identified in teams remains far from understood. The purpose of this research is to uncover techniques that enable top management to identify emergent agile leaders.

We approached six agile teams from four organizations. We employ social network analysis (SNA) and aggregation approaches to identify emergent agile leaders.

We approached six agile teams from four organizations. We employ SNA and aggregation approaches to identify emergent agile leaders.

Seven emergent leaders are identified using the SNA and aggregation approaches. The same leaders are also identified using the KeyPlayer algorithms. One emergent leader is identified from each of the five teams, for a total of five emergent leaders from the five teams. However, two emergent leaders are identified for the remaining sixth team.

Emergent leadership is a relatively new phenomenon where leaders emerge from within teams without having a formal leadership assigned role. A challenge remains as to how such leaders can be identified without any formal leadership status. We contribute by showing how network analysis and aggregation approaches are suitable for the identification of emergent leadership talent within teams. In addition, we help advance leadership research by describing the network behaviors of emergent leaders and offering a way forward to identify more than one emergent leader in a team. We also show some limitations of the approaches used and offer some useful insights.