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This study analyzes whether a doping scandal occurring during a global major sport event has an impact on on-site spectator satisfaction.

The investigation was conducted among 896 on-site event spectators attending a minimum of one event at the Nordic Ski World Championships 2019. Furthermore, five members of the organizing committee were retrospectively interviewed about how they judged the doping scandals’ impact on the perception of the event and its organization.

Results revealed that the scandal did not affect the spectators’ satisfaction and perception of the event. Nevertheless, the doping scandal was mentioned as a lowlight after becoming public.

Even though the doping scandal did not affect spectator satisfaction, such undesirable situations should be avoided as best as possible and form part of the event organizer’s comprehensive risk management and communication strategy.

It can be concluded that spectator satisfaction remained quite stable while any negative impacts, if not directly affecting the spectator, seemed to be considered as somehow “part of the event.”

Disruptive technologies have changed the way that firms model their business approach. The aim of this study is to analyse the influence of novel digital technologies (artificial intelligence [AI] and machine learning [ML]) and big data analytics on the digital transformation of digital marketing firms. This research study is based on a review of the extant literature, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Gaps in the extant research literature were identified and emerged that are directly linked with the impact of AI, ML and big data analytics on digital transformation for digital marketing firms. Potential opportunities for digital transformation in digital firms were also unlocked, as well as related challenges. The research informs practice and policy for the current trends and provides future research directions. The study was limited to the application of the PRISMA methodology, which is incapable of fully providing testable results for a given study. Complementary cross-sectional research studies using the same methodology in different areas of study with the same topic can be applied to check for relevancy and applicability. This study contributes to digital marketing, information communication technologies, information systems practice and theory building. In addition, it provides researchers with an agenda for future digital transformation research directions.

Organizational pursuit of sustainability in multi-tier supply chain systems operating in unpredictable environments is often associated with the emergence of paradoxical tensions. This study aims to summarize and synthesize existing literature on managing various paradoxical tensions in supply chains (i.e. sourcing, making, delivering and reverse logistics) as organizations pursue sustainability transformation. It also strives to motivate new academic research inquiry into developing responses to sustainability paradoxes.

The study draws on a systematic literature review of 73 papers from the Web of Science database selected at the intersection of paradox, sustainability and logistics/ supply chain management (SCM). Applying paradox theory as a guiding lens, we investigate organizational strategies, practices and capabilities described in the literature to navigate sustainability paradoxes in supply chains.

The results assert that the success of sustainability transformation will depend on an organizational ability to recognize, accept and navigate paradoxical tensions in one's supply chain. This requires developing the dynamic capabilities of paradoxical leadership, strategic agility, innovativeness, collaboration with contextualization and governance. Successful sustainability transformation is not reliant on finding an optimal, final design but rather the continuous balancing of tensions inherent within or across the organizations that make up one's supply chain.

The research offers an integrative conceptual framework to guide organizations in navigating sustainability paradoxes in supply chains, embracing strategic, practice and capability levels. It also outlines opportunities for future research inquiries connected to this framework that are needed to build additional insight for addressing paradoxical tensions related to the pursuit of sustainable supply chain management.

This study takes a dynamic capabilities approach to navigating paradoxical tensions in pursuit of sustainable supply chain management.

This study investigates the effects of two types of self-disclosure by influencers (i.e. personal self-disclosure and professional self-disclosure) on followers’ parasocial relationships with them and online engagement with their content, which eventually affect followers’ purchase intentions.

This study collected data based on a cross-sectional survey of 823 social media users. Structural equation modeling analysis was used to test the overall structural model and the mediating roles of parasocial relationships and engagement.

This study reveals that influencers’ personal self-disclosure has a positive impact on followers’ parasocial relationships with them and online engagement with their content. Interestingly, the results indicate an inverted U-shaped relationship between influencers’ professional self-disclosure and followers’ parasocial relationships, as well as online engagement with the influencers’ content. Furthermore, followers’ parasocial relationships and engagement partially mediate the impact of influencers’ personal and professional self-disclosure on followers’ purchase intentions.

This study contributes to the literature by revealing the underlying mechanisms of the differential effects of influencers’ personal and professional self-disclosure on followers’ purchase intentions.

The findings will assist marketers in leveraging influencer-generated content to enhance influencer marketing effectiveness.

This research provides a better understanding of the potential linear and nonlinear effects of influencers’ self-disclosure on followers’ parasocial relationships and engagement in social media marketing.

The emergence of social media platforms has revolutionized how brands develop partnerships with social media influencers (SMIs). However, users are seeking more meaningful engagement with SMIs, and little is known about how brands can shift their focus from transient engagements to continued engagement that builds long-term brand–consumer relationships. Extant research has provided inconsistent findings regarding consumer engagement behavior. To address this knowledge deficit, we contribute to the consumer engagement literature by developing and testing a conceptual model that explores and explains the relationships between the factors that influence continued engagement intention (CEI), a form of behavioral intention.

A literature review was conducted to identify gaps and develop a theoretically informed conceptual model and hypotheses. Survey data from 604 Instagram SMI followers were analyzed using partial least squares structural equation modeling using SmartPLS 3.3.3 to assess the structural model relationships and conduct post hoc analysis.

The findings suggest that it is important to positively influence consumer responses to elicit CEI. Furthermore, homophily attitudes toward SMIs moderate the relationship between SMI experience and CEI.

Brands must work with SMIs to create positive SMI experiences and develop CEI. Furthermore, SMIs should focus on brands that fit their lifestyles to enhance homophily attitudes and forge CEI.

This study contributes to the literature by combining social exchange and flow theories to develop and test a holistic framework for examining CEIs regarding SMIs and brands. The findings show that creating positive SMI experiences benefits brands seeking CEI.

This paper aims to study the effect of short-term firm-level exposure on managerial change during the COVID-19 pandemic in the Chinese economy. Such a link is not explored in the existing COVID-19 and resource-based theory (RBT) literature.

The logit regression model is utilized to examine the effect of short-term exposure on the probability of managerial change in the Chinese economy. Logit models based on coarsened exact matching (CEM) are also used in the robustness checks part of the study. The results are robust to different specifications.

The obtained findings show that short-term exposure has a significantly positive effect on the probability of managerial change during the pandemic.

Under the RBT approach, this study sheds new light on the relationship between short-term financial exposure and managerial change under uncertainty during the pandemic.

C-Suite executives need to be prepared for short-term sudden shocks. According to the findings of the study, the relationship between short-term sudden shocks and short-term financial exposure is a factor that C-suite executives should pay attention to.

Short-term sudden shocks can support managerial change, pushing society into uncertainty and negatively affecting the private sector. In this context, it has a structure that can amplify uncertainty.

In the existing COVID-19 literature, the effect of short-term exposure on the probability of managerial change is under researched, especially in the emerging markets-based RBT and COVID-19 literature. The present study offers an insight into the link between short-term exposure and the probability of managerial change during the pandemic.

The purpose of this paper is to integrate general strain theory and procedural justice in the context of research misconduct in university settings.

Drawing on media accounts and past research, the authors present data on the financial costs of research misconduct to universities and identify graduate school processes as a possible source of strain may lead to misconduct. Relevant research on procedural justice in organizational settings is also examined.

The available literature suggests that the use of procedurally just practices will help reduce strain, and in doing so, potentially prevent research misconduct in university settings. The authors present an integrated theoretical model that can be tested in future empirical studies of research misconduct and other forms of white-collar crime in universities. Directions for future theoretically informed research are discussed, along with recommendations for graduate program administrators.

Research misconduct causes significant financial and reputational costs to universities. While past research focuses on mentoring and training for preventing misconduct by graduate students, this study argues that the use of fair evaluations and other procedurally just processes is also important.

The study aims to examine the association between virtual communication effectiveness (VCE), leadership effectiveness (LE) and the role of emotional intelligence (EI) in the post-pandemic era.

A survey was conducted among 305 employees in the Indian IT sector using an online questionnaire. Data were analyzed using reliability, validity and moderated regression analysis.

The findings reveal that VCE is a significant predictor of LE. EI plays a significant moderating role between VCE and LE.

This study establishes the role of EI in pre-empting LE. Furthermore, it results in the advancement of improved tools for the selection, training and development of leadership talent. Research on virtual communication (VC) and EI enhances our understanding of effective leadership. To the best of the authors’ knowledge, the present research is one of the first to link and standardize various practices of VC, and EI to increase LE in the post-pandemic era.