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This paper aims to evaluate the FIFA requirement that World Cup host nations make alcohol available at World Cup stadia because of its sponsorship agreement with Anheuser-Busch. This paper suggests a framework that FIFA should use in evaluating potential host nations to address the ethical implications of alcohol at the World Cup, especially considering the recent Qatar 2022 World Cup, the first to be held in an Islamic Country.

Using historical analysis of recent World Cups and guided by the Culture-Centered Approach (Dutta, 2008) and stakeholder analysis literature, this paper examines the ethical dilemmas host nations have faced because of FIFA’s insistence on alcohol sales at World Cup stadia.

The analysis suggests that a three-step process of host country assessment, stakeholder mapping and negotiation would enable the discovery of potential ethical conflicts and thus their negotiation to mitigate the ethical conflicts FIFA’s preexisting sponsorship agreements create for some World Cup host nations, especially Islamic countries.

While the framework is conceptual and has not been tested, the components from which the authors draw are well established. The application to mega events sports hosting negotiations is an original contribution. The interdisciplinary nature of the framework also provides a contribution to the research field.

Application of the framework would enable FIFA and host countries to negotiate mutually agreeable conditions and avoid placing host nations in ethically compromising situations, which is especially timely as FIFA expands into Islamic countries. Its utilization would provide a Halal environment for World Cups hosted in Islamic and perhaps other, countries.

FIFA’s commitment to alcohol at World Cups should be questioned. FIFA should not expand this dangerous practice of associating sports with alcohol. Female fans may feel safer, as occurred in Qatar 2022.

This paper's framework uniquely combines communication and strategic management literature and applies it to mega sports events in an original way that would lead to more ethical and culturally contextualized World Cups rather than reifying the alcohol–sport nexus.

To overcome economic hardship and survival, informal entrepreneurs must continually activate specific resilience capabilities and reassess their entrepreneurial intentions (EI). Accordingly, they may develop transformational characteristics to design a model supporting intersectorial business growth. This study aims to examine the EI ecosystem of change resulting from the above endeavors and proposes an entrepreneurial intention transformation model (EITM).

Using the EI questionnaire developed by Liñán and Chen, data was collected from street vendors in the main markets of the Cameroonian capital (N = 307) to capture the determinants of behavior reflecting the propensity to activate entrepreneurial events within informal ventures.

It was uncovered that perceived collective support, resilience, orientation capability and inferred policies influence the dynamics of EI in the informal sector. Additionally, while revisiting current entrepreneurial lifecycle models, the study distinguished between the entrepreneurial events of “renegare” and formalization. Furthermore, the construction of an informal entrepreneurial lifecycle model confirms the need to acknowledge the formalization and “deformalization” processes as integrative parts of an intersectorial entrepreneurial lifecycle model.

This study extends existing research by proposing an intersectorial entrepreneurial lifecycle to recognize the dynamics of EI on ventures’ formalization. The EITM encompasses the EI dynamic process model and the proposed entrepreneurial lifecycle.

This study aims to determine barriers to innovation and to develop a quantitative model for the barrier to innovation in Vietnamese construction organizations of different sizes.

A literature review and discussions with experienced practitioners were implemented to determine barriers to innovation in construction organizations. The rank-based non-parametric test analyzed collected data from a questionnaire survey to examine if there were significant differences between the three groups of organizations, including small, medium and large construction organizations. The fuzzy synthetic evaluation (FSE) technique was employed to develop barrier indexes (BIs) for organizations of different sizes in Vietnam.

The findings showed 17 barriers to innovation which were categorized into four groups, including organizational, human resources, economic and market barriers. Statistical analysis revealed significant differences regarding barriers to innovation between small, medium and large construction organizations in Vietnam. The post hoc test highlighted barriers to innovation differently separated into two groups: SMEs and large construction organizations. The FSE analysis integrated the identified barriers into the comprehensive BIs for SMEs and large construction organizations. The FSE analysis illustrated that the organizational barrier is the most critical barrier for SMEs. On the other hand, the market barrier received the most significant attention in large construction organizations.

This research is one of the first integrated barriers to innovation into a comprehensive formulation. The indexes provide the decision-makers with a practical and reliable tool to evaluate barriers to innovation in construction organizations of different sizes.

This study aims to, first, propose a valid and reliable scale to document the COVID-19 Pandemic Shopping Experience (CPSE) and, second, determine the impact of its variables on the postpurchase shopping experience (PPSE).

For scale development, published studies were scanned and the variables were shortlisted. These shortlisted variables were validated by 52 faculties from four universities in Saudi Arabia. Data were collected from 318 respondents to purify the CPSE Scale. In Study 2, a path analysis was performed on a sample of 354 respondents to determine the individual impact of each variable on PPSE.

A total of 14 items were found to be aligned under four variables, social distance (SD), shop hygiene, operational time and entertainment venues. SD was found to have the greatest influence on PPSE, followed by operational time and shop hygiene.

This research has important implications for retailers to initiate changes in store layout so that they can implement social distancing by physically marking stickers on the floors and by placing barricading on billing counters. Store hygiene can be ensured by making sanitizers and hand gloves available at the entry points, periodically cleaning the floor and sanitizing the premises. Rationing the operating time proved to be an effective tool to minimize the exposure time, thereby limiting consumers' time inside the store.

To the best of the authors’ knowledge, this is the first study to propose a full-scale measure of the customer shopping experience (SE) during a pandemic. This scale can be generalized to measure SE in similar situations.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.

Transport megaprojects often struggle to offer social value (SV) that meets local communities' needs. This problem is embedded in how local communities' views are captured and incorporated into SV plans through local community engagement (LCE). By problematising the literature, this article aims to identify LCE issues and their impacts on SV plans at the front-end of transport megaprojects.

The theoretical lens of the study is the practice theory developed by Schatzki (2016, 2005). The authors conceptualised LCE as a practice and conducted 32 semi-structured interviews with UK practitioners. The authors collected data in three steps from three types of practitioners involved in LCE practice and SV planning: project managers, LCE experts and SV experts.

The authors identified 18 LCE issues with thematic analysis and clustered them into five themes. These issues impact LCE with five mechanisms. Findings show that a weak link between LCE and SV plans due to the issues reduces LCE to a tick-box exercise and presents a distorted view of local communities. This reduces SV plans to the bare minimum for project approval instead of offering relevant SV to local communities. Addressing the issues goes beyond changing the approach of project teams to engagement (from instrumental to normative) and requires changing the practices.

For the first time, the study uses practice theory to conceptualise LCE as a practice, following the notion of project as practice. The study problematises the literature to address the under-represented link between LCE and SV plans.

The purpose of the study is to identify barriers to collaboration among female administrators at a Ghanaian technical university (TU), based on the social identity theory (SIT).

A mixed-method approach was adopted, integrating qualitative interviews of 15 female administrators and completing structured questionnaires from 117 randomly sampled female administrators. The SIT, as the analytical framework, identified themes emerging from the data on barriers to collaboration among female administrators. While exploratory factor analysis identified measures of factors hindering collaborations, the use of structural equation modeling (SEM) enabled the confirmation of relationships among the barriers to collaboration with female administrators.

There existed statistically significant relationships between four of the barriers: intergroup relations conflict, trust with stakeholders and among females and structural barriers (SBs). For the quantitative analysis, it was found that SBs, intergroup relations, conflict and trust were statistically significant except for weak cultures. For the qualitative, results showed that SBs, lack of trust with stakeholders and among females and intergroup conflict hinder collaboration.

The study has a limited scope in using only one TU and focusing on a particular gender. The implications of this research will enrich the literature on barriers to female administrative collaboration in technical education based on the SIT.

Promoting administrative collaborations in the TU will ensure sustainability and efficient administrative systems.

Institutional policies should include gender inclusivity and equality on networking opportunities and provide mentorship programs for efficient administrative systems.

We used the SIT to determine barriers to collaboration among female administrators in a technical education institution, and the mixed methodology added a unique dimension to the study.

Cemented conglomerate accumulation is a weak and heterogeneous medium that occurs in western China. It consists mainly of argillaceous cement that loses strength rapidly upon contact with water, leading to collapse instability failure. Its deformation failure mechanism is complex and poorly understood. In this paper, the erosion failure mechanism of cemented conglomerate accumulation is investigated.

The collapse failure process after erosion of the slope foot for typical cemented conglomerate accumulation is studied based on field investigation using the particle discrete element method. And how the medium composition, slope angle and cementation degree influence the failure mode and process of the cemented conglomerate accumulation is examined.

The foot erosion of slope induces a tensile failure that typically manifests as “erosion at the foot of slope – tensile cracking at the back edge of slope top – integral collapse.” The collapse failure is more likely to occur when the cemented conglomerate accumulation has a higher rock content, a steeper slope angle or a weaker cementation degree.

A model based on rigid blocks and disk particles to simulate the cemented conglomerate accumulation is developed. It shows that the hydraulic erosion at the foot of the slope resulted in a different failure mechanism than that of general slopes. The results can inform the stability management, disaster prevention and mitigation of similar slopes.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.