Wendrila Biswas

Purpose : The paper explored how the crucial facets of the Fear of Missing Out (FoMO) phenomenon affected different motivational orientations––autonomous, control, and impersonal––– toward an urge of unintended and immediate purchase, triggering the usage of m-payment apps. Design/Methodology/Approach : In this study, qualitative analysis based on the in-depth semi-structured interview method was used to develop a conceptual model with the help of Causality Orientation Theory (COT). We used NVIVO-15 software for analyzing qualitative data through word clouds and hierarchy charts. Findings : A conceptual model was developed to identify the FoMO-based compulsive and impulsive buying behavior impacting the usage of mobile payment apps. Also, this study acknowledged two factors––online social comparison and social anxiety––that affected FoMO- based compulsive buying behavior and two factors––harmonious passion and obsessive passion that affected FoMO-based impulsive buying behavior. Implications : The insights provided in the study would unveil a significant pathway for redesigning and reforming marketing strategies and customer segmentation for companies ahead. But initially, the deeper understanding of the study would advance the Fintech firms to accelerate the user acceptance and adoption of m-payments apps on a substantial scale, along with an upscale of their investors. Originality/Value : The study provided unique perspectives on the effect of FoMO as an antecedent. The psychological responses of the customers (social anxiety, online social comparison, harmonious, and obsessive passion) are well delineated in the study, which significantly affected the usage of m-payment apps through FoMO-based compulsive and impulsive buying.

Purpose : The study depicted the revolutionary approach of generative artificial intelligence (GAI) in e-tail that has boost customer engagement with tailored support, co-creation outcomes, predictive insights, and dynamic mapping of their shopping journey. The research identified crucial touch-points of the technology that resulted in intensified customer engagement and prompt-to-purchase action. Design/Methodology/Approach : An interview-based qualitative investigation was carried out utilizing NVIVO-15 software to develop a conceptual model using the extended technology acceptance model (TAM) model, customer engagement model, and stimulus-organism-response (S-O-R) theory. Thirty-seven semi-structured in-depth interviews with online customers were conducted using the convenience sampling technique. Findings : A conceptual model was developed to identify the factors impacting the prompt-to-purchase action of online customers. The study acknowledged directly and indirectly influencing factors (i.e., perceived usefulness, trust in GAI, perceived ease of use, -driven customer engagement, and purchase intention), which affected prompt-to-purchase action. Implications : The research delved deep into the fact that GAI in e-tail played a significant role in value creation for customers as well as the firm and stood as a game-changer. Its application in e-tail has not only provided creative assistance to its users but also augmented conversational commerce, driven product innovation, navigated through varied customer data patterns, and delivered customized service; it has eclipsed competitors and has hit the market ground well. Originality/Value : The study highlighted a holistic framework that provided a comprehensive view of the aspects of GAI and has driven greater effectiveness in customer engagement, which is rare and can serve as an optimistic model for commercial leaders in gaining advance momentum in business. The uniqueness of the model comprising the extended TAM Model, customer engagement model, and S-O-R theory provided a glaring aspect of leveraging AI to engross customers with e-tails.

With one of the greatest turmoil in the world of work that has wreaked havoc on companies small and large, the global pandemic COVID‐19 is penning a new normative. Amidst such disruptions, employees are found to be floundering with tears, boredom, annoyance, and helplessness. With unparalleled challenges and uncertain prognosis, employees are unable to rebuild their power and thrive in alternative circumstances. This calls for an active effort on the part of organizations to embrace openness and discuss vividly what needs to be preserved, created, eliminated, or accepted. Deeper ties and inclusive approach of firms can amp up an employee's self‐worth. The current study reflected the essence of connectedness and oneness at times of crisis. Organizations can play a pivotal role in helping employees rise above the feeling of despair. Connecting with heart can sweep off the feeling of instability, bringing in a stream of positive emotions and experiences. The study draws a cross‐sectional data (n = 418) from employees working in various manufacturing and service companies of India to test the hypothesized framework. We have carried out SEM analysis through AMOS to understand the combined measurement model with mediation effects. The analytical results demonstrate that positive mindset fully and partially mediates between the drivers of heart work and resilience. The study reveals that the contributing factors of heart work significantly influences positive mindset of employees, which in turn has a positive association with resilience at work. One of the triggers of heart work—“Face the fear, fix fast” is found to be a strong and consistent predictor of positive mindset. Again, “Generate energy moments” another element of heart work stands to be a sharp predictor of resilience at work. The study also discusses varied implications that can enrich managerial effectuality in this crisis condition.

The Impact of Social Networking Sites on College Students: A Survey Study in West Bengal