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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.

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.

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.