From Hesitancy to Acceptance: An Interpretative Approach to Unravel the Vaccination Motivation Among the Rural Population.

Our study focuses on vaccination decisions within a collectivistic framework, prioritizing social and behavioral factors over individualistic views amidst COVID-19. Integrating behavioral biases and social ties, we inform targeted public health communication strategies. Examining vaccine uptake in rural India, we use Interpretative Phenomenological Analysis (IPA) to interpret deviations, capturing personal experiences and biases. Through the COM-B model and 25 interviews, we uncover motivations influenced by individual, family, and community factors. Synthesizing findings, we propose tailored public health communication grounded in behavioral psychology. Rather than disregarding biases, we explore their implications for effective interventions. This research advances health communication, particularly benefiting lower-middle-income countries with non-pharmacological approaches.

Service Failure and Recovery in B2B Markets - A Morphological Analysis.

The existing body of research on service failures and recoveries primarily deals with business-to-consumer markets, with relatively limited and scattered research on business-to-business (B2B) markets. The purpose of this paper is to review the existing literature on these failures and recoveries in B2B markets, conceptualize and develop a morphological analysis (MA) framework, and identify research gaps that point to future research possibilities. We present an MA framework based on a literature review of 114 papers on the ABDC/ABS/ Clarivate Analytics list. The MA framework, constructed with eight dimensions and 62 variants, reveals 418 distinct research gaps as an upper bound of opportunities for future research. The paper concludes by discussing the implications for future research.

Operations Management teaching practices and information technologies adoption in emerging economies during COVID-19 outbreak.

The objective of this article is three-fold. First, it aims at identifying the main teaching practices and information and communication technologies (ICTs) used to teach Operations Management (OM) in emerging economies during COVID-19 outbreak. Second, it investigates the effect of contextual characteristics on the adoption level of those teaching practices and ICTs. Third, this study examines the relationship between the adoption of ICTs and OM teaching practices during COVID-19 outbreak. Expectedly, schools around the world have pivoted to online learning and digital classrooms. Thus, OM lecturers and professors located in emerging economies that have been teaching during COVID-19 outbreak were surveyed. The collected data was analyzed through multivariate techniques. Findings indicate that lecturers and professors have been remarkably adopting specific teaching practices and ICTs to teach OM. Nevertheless, when considering the contextual characteristics of the universities, departments, and lecturers/professors, the adoption level of those practices and ICTs may significantly vary, especially depending on subject type and teaching experience. Moreover, we empirically verified that ICTs positively relate with OM teaching practices in emerging economies, although in a much less extent than expected. This research provides OM instructors guidelines to better plan their courses and subjects in face of extreme disruptive moments, such as the one caused by the COVID-19. Understanding how the concurrent utilization of ICTs and teaching practices helps OM programs to continue developing their activities is particularly important for universities located in emerging economies, since they are more likely to struggle with resources scarcity and more financially humble students.

State and citizen responsiveness in fighting a pandemic crisis: A systems thinking perspective.

Management scholars have recognized organizational responsiveness among the essential capabilities of social organizations. It becomes essential for a social change to occur during a crisis, where the uncertainty or environmental dynamism is high. However, a social change cannot be successful unless constituent subsystems of a social organization exhibit responsiveness. Using systems theory, we conceptualize 'nation' as a social system and examine its responsiveness towards environmental uncertainly, taking an example of the COVID-19 pandemic. How can state and citizen community responsiveness help fight a pandemic crisis? We test these direct and moderating effects on data representing 14 countries. We perform a hierarchical regression analysis on the restructured, balanced country-wise panel data. Our findings highlight the importance of state and community interaction effects in controlling pandemic growth. Accordingly, we claim that only a collaborative approach by citizen communities with the respective governments will enable handling an uncertain situation.