Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The Covid‐19 pandemic led to social distancing and lockdown practices, which increased social interactions and information exchange on social media for timely decision making. This study explores how social practices and social influence generated through social media created panic buying behavior among customers. A social constructionist epistemological position was taken in order to understand the social practice of information sharing and to ask why different meanings were ascribed to Covid‐19 pandemic. Qualitative data collection and analysis methods were used to understand these subjective realities. A total of 40 UK customers participated in semi‐structured interviews in which they were asked about their usage of social media during the pandemic. Results revealed that social media increased the sharing of viral video evidence, such as empty shelves and quarreling in grocery stores, which increased fear and uncertainty; as a result, people shared recommendations to stay at home and buy extra for survival. Analysis revealed that social media increased awareness of stock unavailability in other parts of world, such as the USA, China, and Germany; therefore, people took proactive actions, such as stockpiling or panic buying, to avoid risks and uncertainties. The major theoretical contribution of this study is that the researcher merged social practice theory and social influence theory, and constructed a research framework which provides understanding of the social factors generated through social media platforms that increased socially influenced panic buying practices among UK customers. This study suggests that there is a need to control socially shared information and panic buying behavior and how socially shared information can influence different people in different contexts.
The Covid‐19 pandemic led to social distancing and lockdown practices, which increased social interactions and information exchange on social media for timely decision making. This study explores how social practices and social influence generated through social media created panic buying behavior among customers. A social constructionist epistemological position was taken in order to understand the social practice of information sharing and to ask why different meanings were ascribed to Covid‐19 pandemic. Qualitative data collection and analysis methods were used to understand these subjective realities. A total of 40 UK customers participated in semi‐structured interviews in which they were asked about their usage of social media during the pandemic. Results revealed that social media increased the sharing of viral video evidence, such as empty shelves and quarreling in grocery stores, which increased fear and uncertainty; as a result, people shared recommendations to stay at home and buy extra for survival. Analysis revealed that social media increased awareness of stock unavailability in other parts of world, such as the USA, China, and Germany; therefore, people took proactive actions, such as stockpiling or panic buying, to avoid risks and uncertainties. The major theoretical contribution of this study is that the researcher merged social practice theory and social influence theory, and constructed a research framework which provides understanding of the social factors generated through social media platforms that increased socially influenced panic buying practices among UK customers. This study suggests that there is a need to control socially shared information and panic buying behavior and how socially shared information can influence different people in different contexts.
Purpose Today, a firm’s major concern is to know the way in which an innovation is adopted in the marketplace. The purpose of this paper is to focus on the two-stage nature of diffusion process in which the time lag between people being informed and their act of making final purchase is considered. Design/methodology/approach The paper discusses an approach based on the time lag for modeling awareness and adoption process as two separate and yet connected processes. Varying forms of time lag (constant, deterministic or random) have been considered while modeling the required framework. Furthermore, an equivalence approach has been shown between the present framework and the two well-known and established approaches of infinite queuing theory and hazard rate function. Findings The results are verified on sales data of two different consumer durables and it show good prediction capability of proposed models in capturing the real-life scenario. Further, the equivalence approach helps us to quantify such scenarios which were difficult to be modeled with any one particular approach. Further, the possibility of capturing different market scenarios by studying various distribution functions has been identified. Research limitations/implications The proposed methodology is based on a two-stage adoption process. The same can be extended to a multi-stage adoption process as in today’s competitive environment. “Motivation” is one such factor that is highly important which can be considered in some later studies. In future, the authors wish to study the multi-stage adoption process considering the different forms of time lag function. Practical implications The equivalence approach discussed in the paper can help to cater the possibility of capturing different market scenarios by studying various distribution functions. Originality/value The proposed approach helps to cater the time lag between awareness and adoption process and develop different mean value functions to account for the manner in which sales are happening under different circumstances. The proposed methodical approach can also help decision makers in managing their available resources in a prudent manner.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.