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Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.

Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses.

The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship.

This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.

Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

The coronavirus disease 2019 (COVID-19) has a significant influence on many aspects of life, including education. As a result, the education system in emerging nations such as Bangladesh needs a rapid transition from conventional to technology-based distance learning. This study looks at the current state of higher education and how well online courses that use technology work.

This study used a structural equation model (SEM) to analyze the 392 student records taken from several universities in Bangladesh.

This research showed that students are more likely to use a digital higher education system if faculty are willing, students are eager and the economy is stable. Students who have had a bad experience with digital learning should know that a virtual evaluation system is needed. The willingness of students to use technology also plays a significant role in whether or not the students will take online classes. The research shows that combining traditional classroom and online learning is the best way to create a long-term learning system.

The model suggested in this study has a big effect, and Bangladesh policymakers should consider this model when planning a new kind of technology-based education.

End-of-life electronic products exchange (EEPE) program could be an effective approach to e-waste recycling that requires consumers' participation. Thus, it is highly recommended to study factors stirring consumer behavior with regard to EEPE programs, which is largely under-explored in the existing literature. Hence, grounding on the Theory of Planned Behavior (TPB) and Attitude-Behavior-Context (A-B-C) model, this study attempts to understand the determinants of consumers' EEPE intention by adding contextual and non-cognitive factors to the proposed research model.

Employing a purposive sampling technique, respondents were drawn from university students and general consumers of electronic products in a developing country. Factor analysis, structural equation modeling (SEM) and SPSS PROCESS were used to analyze the collected data.

Empirical results confirm that subjective norm has the strongest positive impact on EEPE intention. Following this, attitude toward EEPE and perceived behavioral control play positive mediating roles in determining EEPE intention. Moreover, government initiatives moderate the unsolicited “attitude–intention gap”.

Drawing on this study's outcomes, the study urges to form comprehensive awareness-building campaigns, rules and regulations regarding proper e-waste management, promote “exchange offer” programs and educational programs to encourage EEPE.

This study makes two fresh contributions to the extant literature. First, by coupling the TPB and A-B-C theory, this study showed that both attitude (i.e. attitude toward EEPE) and context (i.e. government initiatives) are essential in eliciting individual-level post-consumption pro-environmental behavior (PEB) (i.e. EEPE). Second, government initiatives elucidate the attitude–intention gap in the reverse logistics context, especially in developing countries.

Drawing on the conservation of resources theory, the present study aims to design and explore the influence of abusive supervision and coworker incivility on turnover intention among frontline employees (FLEs). Besides the mediating effects of work stress between abusive supervision and turnover intention, coworker incivility and turnover intention also be explored.

Data from 311 FLEs are collected by a self-administered structured questionnaire and analyzed by confirmatory factor analysis and structural equation model.

The empirical results established that abusive supervision and coworker incivility significantly predicts work stress and work stress significantly predicts turnover intention. Abusive supervision significantly predicts a positive relationship with turnover intention, whereas coworker incivility with turnover intention is vis-à-vis. Besides, abusive supervision and coworker incivility significantly predict turnover intention via work stress. The study further illustrated the control variables, e.g. education, experience, and proactive personality of FLEs.

The study finds abusive supervision and coworker incivility as stressors in the emerging economy for FLEs. However, coworker incivility on turnover intention cannot predict as expected because the roles of the supervisor and coworker are different in this context.

The continuous support of supervisors and coworkers can reduce the stress and consequences of reducing the intention of turnover of FLEs. The concerns can enhance their support by using respect and credit for work, maintaining privacy, providing proper feedback, being sensible to the performance, and entitlement to any achievement. They also suggest ensuring a work environment of privacy, fair treatment, importance to suggestions, and ascertaining punishment for any colleague's mistreatment.

The frontliners always contribute a large pie of output for any organization. Supervisors and coworkers impact the day-to-day life of FLEs.

As a study on FLEs in the context of evolving economy, the investigation fulfills the inconsistencies of the previous result with the mediating role of work stress with a strong theoretical base.