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Drawing on the dynamic capability view, this study aims to examine the relationships between big data analytics capability (BDAC) and sustainable supply chain performance (SSCP) by exploring the mediating effects of knowledge development (KD) in terms of knowledge acquisition, information distribution, shared meaning and achieved memory.

Data were collected by questionnaire survey from 300 manufacturing organizations. Structural equation modeling was used to test the research hypotheses.

It was found that all the dimensions of KD were positively related to BDAC and SSCP. Although no direct association was established between BDAC and SSCP, the empirical findings indicated that all the dimensions of KD fully mediated the relationship between BDAC and SSCP. This highlights that organizations need to harness KD because developing BDAC alone may not be sufficient.

No previous research has explored how KD dimensions such as knowledge acquisition, information distribution, shared meaning and achieved memory mediate the relationship between BDAC and SSCP. This paper addresses this gap in the literature and contributes to the existing debate to better understand the conditions in which BDAC affects SSCP. Pointers for future research are also identified.

The author argues that contemporary college culture is predicated on hedonism indicated by a use of predominantly social time in which parties, alcohol, casual sex, and lax academics pervade students' experiences. Coincident with this culture, however, is a deleterious pattern among students that has developed dramatically: their compromised mental health. The situation presents an apparent paradox: why are many students suffering when enveloped by fun? This chapter draws a connection between fun and suffering by treating each as conditions that spring from the sociohistorical context that situates institutions of higher education. In so doing, a theory is set forth to explain why despair is rendered applicable and how it is institutionally installed in the minds of modern-day college students.

This chapter presents a critical reflection on delivering a lecture on the impacts of colonialism to a cohort of predominantly white, undergraduate students in the UK. This chapter provides an overview of the lecture, including its key content and how it built on a wider programme of learning. It then discusses student reactions to the lecture content, reviews the literature on teaching sensitive subjects, highlights what pedagogues in Higher Education (HE) can learn from this literature, and explores both teacher and student positionality. The chapter concludes that pedagogues in HE should pursue the teaching of sensitive subjects and not ‘give in’ to student discomfort. Not creating the conditions to discuss such issues in learning spaces ultimately sides with existing structures of power and privilege in HE that should be challenged. However, strategies need to be put in place to overcome students’ fears of discussing sensitive subjects. These strategies include pedagogues building up trust, facilitating open dialogue, and reflexively exploring positionality. These present both students and teachers with the opportunity to recognise and transform their own biases, perceptions, and attitudes to facilitate deeper and more democratic learning; and challenge existing structures of privilege in HE that benefit more powerful groups.

The highly uncertain and turbulent environments nowadays intensify the paradoxical effects of supply base concentration (SBC) on improving cost efficiency while increasing idiosyncratic risk (IR). Digitalization is regarded as a remedy for this paradox, yet digitization's potentially curative effect has not been empirically tested. Leveraging the lenses of paradox theory and information processing theory (IPT), this study explores how two distinct dimensions of digitalization, i.e. digitalization intensity (DI) and digitalization breadth (DB), reconcile the paradoxical effects of SBC.

Using a panel dataset of 1,238 Chinese manufacturing firms in the period of 2012–2020, this study utilizes fixed-effects regression models to test the proposed hypotheses.

The authors discover that SBC enhances a firm's cost efficiency but induces greater IR. More importantly, there is evidence that DI restrains the amplifying effect of SBC on IR. However, DB weakens the enhancing effect of SBC on cost efficiency and aggravates the SBC's exacerbating effect on IR.

This study advances the understanding of the paradoxical effects of SBC on cost efficiency and IR from a paradox theory perspective. More importantly, to the best of the authors' knowledge, the authors' study is the first to untangle the differential roles of DI and DB in reconciling the paradox of SBC. This study also provides practitioners with nuanced insights into how the practitioners should use appropriate tactics to deploy digital technologies effectively.

The purpose of this study is to examine the impact of firm environmental, social and governance (ESG) rating scores on market perception and stock behavior from 2017 to 2021 while controlling for COVID-19 severity score.

The authors used panel regression models with robust standard errors based on cross-country and cross-industry sample of 1,324 ESG firms from 25 emerging countries across four regions. Four separate regression analyses are used. Hausman test is used to determine whether fixed-effect (FE) or random-effect approaches should be used in regression models. Lagrange multiplier test is used to test for time FEs, and F-test for individual effects to choose between pooled ordinary least squares model and FE. Two-unit root tests are conducted to check stationarity. Heteroskedasticity and serial correlation were controlled through a robust covariance matrix estimation.

The authors provide evidence that the stakeholder theory persists in emerging countries. Overall, the results suggest that firms’ stock behavior is positively associated with the level of environmental and social performance in the region. However, the results do not provide empirical evidence to support the link between ESG performance and stock market perception proxied by the price-to-sales ratio. The results suggest that Refinitiv and Bloomberg ESG rating scores have a positive impact on stock performance in emerging markets, albeit the Bloomberg rating score is insignificant.

Favorable impact of environmental and social performance on stock performance suggests that policymakers should take initiatives to raise awareness toward investments in ESG projects. Evidence shows that ESG stock performance in emerging markets does not insulate firms from the COVID-19 severity. Furthermore, this study highlights the inconsistency in calculating the ESG ratings, therefore, a more standardized approach is recommended to support investors seeking sustainable investments.

The findings have social implications for investors with proenvironmental preferences and nonpecuniary motives for ethical investments. Asset fund managers should develop ESG investment strategies to promote investor preferences that are linked to the proenvironmental and prosocial attitudes by increasing their investments in stocks of firms that behave ethically and support the environment. Furthermore, the findings show that investors pay a price for ethical and socially responsible investments as they are evaluating the environmental and social activities, hence, the firm ESG profile influences equity valuation and risk assessment.

The study extends the literature and provides evidence from the unique setting of emerging markets by analyzing the relationship between ESG rating scores and the COVID-19 severity scores on one hand, and stock behavior and market perception on the other.

The purpose of this study was to gather insights from sport marketing professionals and identify key opportunities, challenges and knowledge that sport marketing educators and researchers could utilize in developing curriculum and research agendas.

A qualitative approach was used, and data were collected through in-depth interviews with 15 sport marketing professionals. Participants were asked questions related to the knowledge, skills and experiences that they believe are important for students to have to be successful in the industry, as well as the types of research that would be most useful in their day-to-day work.

Industry professionals noted collaboration, transformation in digital marketing, data and analytics and experiential marketing as key trends facing the industry today. The findings suggest that sport marketing curriculum should focus on soft skill development such as communication, relationship building and empathy alongside hard skill development such as data analysis and storytelling. As well, findings show research areas where scholars can aid practitioners with a focus on consumer insights, technology, measuring ROI and experiential marketing.

With these findings, educators and scholars can better prepare students for successful careers in industry and contribute to the ongoing advancement of the scholarly field. This study serves as a starting point for further research in this area, and it is hoped that it will spark continued collaboration between academia and industry.

There remains a critical issue in sport management scholarship in that the field lacks a well-defined framework for delineating practical implications in research. This research aims to answer the following research questions: (1) What types of practical implications can be identified in sport management research? (2) How can sport management research frame the practical implications of the study in a way that is both theoretically sound and useful for practitioners?

Through a scoping review and within the lens of Jaworski (2011)'s framework for managerial relevance, the study examined 427 articles from European Sport Management Quarterly, Journal of Sport Management and Sport Management Review published between 2000 and 2020.

This study presents a five-pronged framework that identifies target managers, organizational tasks, time horizons, philosophical impact and desired outcomes. Furthermore, the current research offers suggestions for how to present managerial implications in sport management research.

The findings shed light on the managerial relevance of the recent sport management body of work, developing an important framework for practical implications for the field to reflect and incorporate into future studies. With a theoretical understanding of how to frame the practical implications of sport management research, the gap between academia and industry can continue to narrow, and the relevance to the industry may be more pertinent than ever before.

This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness.

Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling.

This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness.

The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

The impact of COVID-19 pandemic has been severely felt by India's construction industry, which contributes heavily to economic growth and employment. An analysis of the impact of supply chain agility, supply chain resilience and information technology capability on the construction supply chain cost and delivery performance is presented in this study in an Indian scenario post-COVID-19.

An analysis of moment structures-confirmatory factor analysis-based structural equation modeling is applied to a structured questionnaire received from 220 construction companies located in Southern India.

According to the results, supply chain agility, supply chain resilience and information technology capability are essential capabilities for post-COVID-19 supply chain performance. Furthermore, these factors are observed to have a positive impact on improving cost and delivery performance in construction supply chains focused on building sustainability.

The results of this study can be used by other industries to ensure robustness and sustainability of business operations during post-COVID periods. Improving supply chain agility and information technology capabilities along with building resilience results in improving cost and delivery performance against disruptive scenarios.

Despite previous studies addressing the effects of COVID-19 on supply chain performance, information technology capability, agility and resilience are not addressed in construction industry research. The current study examines the simultaneous effects of resilience, agility, and information technology capability on the cost and delivery performance of Indian construction projects.