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This study investigated how organizations can maintain their supply chain (SC) resilience in situations where high-impact shocks cannot be absorbed and what capabilities are needed. The article is an empirical exploration of a socio-ecological view of resilience in the SC context.

The case under study in this article is that of Médecins sans Frontières (MSF) and MSF's reconfiguration of its supply management processes in response to the supply shocks during the coronavirus disease 2019 (COVID-19) pandemic. In total, 503 internal documents and ERP extractions from six databases from late 2019 to September 2020, 43 semi-structured interviews and a 3-round policy Delphi process were used to investigate this phenomenon.

The authors' results show that throughout the pandemic, MSF adapted its procurement and supply processes to cope with supply shortages at both the international and local levels of the SC. This was possible due to the organization's capacity to use its exploitation and exploration capabilities of the organization at the same time.

This research is based on the single in-depth case study of a medical aid organization. Further research should investigate this phenomenon in commercial companies with similar or different organizational structures.

This study constitutes a first attempt to empirically demonstrate that the four phases of the adaptive cycle put forth in the panarchy theory constitute a suitable representation of the reconfigurations that SCs follow in response to a high-impact shock. The study also adds to the growing body of knowledge on resilience by including ambidexterity as a mechanism to achieve resilience.

The purpose of this paper is to use Twitter data to mine personality traits of basketball players to predict their performance in the National Basketball Association (NBA).

Automated personality mining and robotic process automation were used to gather data (player statistics and big five personality traits) of n = 185 professional basketball players. Correlation analysis and multiple linear regressions were computed to predict the performance of their NBA careers based on previous college performance and personality traits.

Automated personality mining of Tweets can be used to gather additional information about basketball players. Extraversion, agreeableness and conscientiousness correlate with basketball performance and can be used, in combination with previous game statistics, to predict future performance.

The study presents a novel approach to use automated personality mining of Twitter data as a predictor for future basketball performance. The contribution advances the understanding of the importance of personality for sports performance and the use of cognitive systems (automated personality mining) and the social media data for predictions. Scouts can use our findings to enhance their recruiting criteria in a multi-million dollar business, such as the NBA.

Sports tourism was strongly affected by the COVID-19 pandemic, but there is no consensus on what sports tourism should look like in the post-pandemic period. This study explores the future of sports tourism in light of the COVID-19 pandemic and provides an alternative paradigm model.

Data were collected by interviewing sports tourism experts. Data analysis was based on the continuous comparison method during three stages of open, axial and selective coding.

The findings point to the complexity of the future sports tourism industry. Post-COVID-19 sports tourism strongly depends on environmental forces and targeted support, with strategies focused on tourists’ safety and security, digitalization of the industry, and new employment opportunities.

This study contributes to the body of knowledge on sports tourism by providing answers to the current challenges, threats and opportunities associated with the pandemic. The proposed paradigm model could be a guideline for sports tourism practitioners and policymakers to accelerate recovery from COVID-19 in a sustainable and resilient manner.

The purpose of this research is to examine fans' perceptions of pro-environmental sustainability initiatives promoted by a professional sport club and the ensuing effects on a triple bottom line (TBL) approach (i.e. fans' socially, environmentally and economically favourable behaviours).

Data were collected in two different steps using an online self-administered questionnaire (n1 = 1,043; n2 = 2,167) distributed to fees-paying members registered in the club's database. The analysis was carried out though structural equation modelling.

The results indicate good psychometric properties of the scale used to measure fans' perceptions of a club's pro-environmental sustainability initiatives (perceptions of pro-environmental sustainability initiatives in sports; p-PESIS). Additionally, there is a positive effect of p-PESIS on fans' social behaviours as well as on their daily environmental actions. Furthermore, p-PESIS also shows a positive effect at improving fans' economic activities towards the club.

Extending previous research, the authors tested a scale to measure fans' responses to pro-environmental sustainability initiatives in sport and examined their links to the TBL dimensions. Pro-environmental sustainability initiatives in sport benefit not only the club itself (by reinforcing fans' activities with the club) but also society as a whole, as it can promote fans' conscientiousness and likelihood to behave in environmentally and socially favourable ways.

This paper explores how exaptive innovation process might be considered a useful innovation model in constraint-based environments. Through an in-depth case study, it illustrates clearly the antecedents of exaptation processes, which are particularly relevant in rapidly changing environments requiring new solutions under time and resource constraints.

The authors adopt a single case study approach that is particularly suitable in case of an inductive research design, which is required because of the novelty of the topic. The research is inspired by the use of the snorkeling mask EASYBREATH, commercialized by the giant Decathlon, as a medical device, a respirator to treat patients affected by coronavirus in Italy. The authors organized the evidence according to a novel taxonomy grounded in the literature.

The case study stimulates reflections on the existence of some antecedents to the exaptive innovation process in constraint-based environments: (1) the availability of specific actors in the innovation process; (2) the creation of platforms of interaction between people with different competences, nurtured by collective bottom-up financing systems; (3) the role of the community of makers, in particular, and of the 4th industrial revolution, in general, for creating enabling technologies; (4) multidisciplinary individual background of key actors in the innovation process is crucial to ensure the exaptive path to be in place.

This work has some limitations, due to the choice of limiting the analysis to a single case, nevertheless, it offers a first glance on a new technological trajectory available in constraint-based environments.

The case study results underline the importance of new digital collaboration platforms as knowledge multipliers, and illuminate on the potential of the fourth manufacturing revolution, which, through new technologies, creates opportunities for distributed forms of innovation that cross long distances.

Every day thousands of academic institutes suspend their classes and students are staying in their home maintaining social distancing due to the fear of COVID-19 pandemic and Nepal is no exception. Realizing these facts, this study aims to explore the factors for the effectiveness of online mode of classes to on-class course-based students and analyzes the perception of faculties and students toward online mode during the COVID-19 pandemic.

It is based on exploratory research design, following mixed methods of qualitative and quantitative procedure. To build a rich understanding of the phenomenon, three-stage data collection procedure: preliminary interview, structural survey and validation were used.

This study revealed triplet factors: infrastructure, student and teacher as antecedents of effectiveness of online classes during a pandemic. Technological support, infrastructure availability, faculty and students' perception have a significant relationship for the effectiveness of the online mode of the teaching-learning process. Students faced anxiety during the COVID-19 pandemic, but a higher willingness to learn reduces the level of anxiety.

This study significantly contributes to the future management of higher education and digs the future path of online and on-class teaching-learning practices.

The primary purpose of this study is to determine if the main character is a shapeshifter and, if so, how does the tale contribute to shapeshifting lore.

The focus of the study is confined to a version of the tale that appears in Jane Yolen's Folktales From Around the World (1986) and on summaries of other versions of shapeshifting tales when needed. Support for the findings is provided by an examination of the observations and rhetorical techniques employed by what appears to be an unreliable narrator and selected knowledge and practices from a variety of academic disciplines.

The research findings neither confirm nor deny that the main character is or is not a shapeshifter.

Instead, the critical reading confirms the traditional characterization of folktales as coming from diverse folk roots and disappearing or changing as they circulate through geographical space and narrative time.

It also implies that the tale has outgrown its practical and social folk roots and now extends far beyond that of traditional shapeshifting or literary folktales.

By bringing to light the racial and gender fears, ignorance and emotional and physical violence that lurk just below the surface of the society from which serpent-woman emerges, the study creates a haunting vision of the embedded biases that lurk just below the surface of many societies.

To this author's knowledge, this is the first study of this tale to appear in publication. The findings need further investigation.

The purpose of this paper is to provide a gender-sensitive analysis of economic agency in Islamic economic philosophy.

A critical review of classical ethics literature and the concept of khilafah is undertaken and discussed in conjunction with the current understanding of homo Islamicus.

Building on the principles of khilafah, the concept of homo Islamicus is a pious stand-in for the flawed homo economicus. Among its flaws is the complete absence of a discussion of women as economic agents. To remedy this the discipline must acknowledge explicitly the denial of women and gender from the discussion of moral agency and include gender as a category of analysis for economic agency. This is only possible by: (1) introducing a non-patriarchal reading of khilafah as the model of agency and (2) by operationalising taqwa as the cardinal virtue of the economic agent instead of neoliberal rationality.

If Islamic economic philosophy is to contend as an alternative mode of economics, it must consider gender and class dimensions in its micro-foundation discussion, economic agency is one of them.

This study reveals the patriarchal readings that are part of the foundation of the concept of the economic agent in Islamic economics, problematising it and providing a gender-sensitive concept of economic agency.