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This study examines the relationship between demand forecasting error and retail inventory management in an uncertain supplier yield context. Replenishment is segmented into off-season and peak-season, with the former characterized by longer lead times and higher supply uncertainty. In contrast, the latter incurs higher acquisition costs but ensures certain supply, with the retailer's purchase volume aligning with the acquired volume. Retailers can replenish in both phases, receiving goods before the sales season. This paper focuses on the impact of the retailer's demand forecasting bias on their sales period profits for both phases.

This study adopts a data-driven research approach by drawing inspiration from real data provided by a cooperating enterprise to address research problems. Mathematical modeling is employed to solve the problems, and the resulting optimal strategies are tested and validated in real-world scenarios. Furthermore, the applicability of the optimal strategies is enhanced by incorporating numerical simulations under other general distributions.

The study's findings reveal that a greater disparity between predicted and actual demand distributions can significantly reduce the profits that a retailer-supplier system can earn, with the optimal purchase volume also being affected. Moreover, the paper shows that the mean of the forecasting error has a more substantial impact on system revenue than the variance of the forecasting error. Specifically, the larger the absolute difference between the predicted and actual means, the lower the system revenue. As a result, managers should focus on improving the quality of demand forecasting, especially the accuracy of mean forecasting, when making replenishment decisions.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

This study established a two-stage inventory optimization model that simultaneously considers random yield and demand forecast quality, and provides explicit expressions for optimal strategies under two specific demand distributions. Furthermore, the authors focused on how forecast error affects the optimal inventory strategy and obtained interesting properties of the optimal solution. In particular, the property that the optimal procurement quantity no longer changes with increasing forecast error under certain conditions is noteworthy, and has not been previously noted by scholars. Therefore, the study fills a gap in the literature.

Sustainability-oriented projects are prevalent on crowdfunding platforms nowadays. The relationship between crowdfunding and sustainability has attracted the attention of many scholars. This study aims to examine the effects of perceived sustainability orientation on value-co-creation behavior from the perspective of backers and explore the mediation effects of three psychological factors: perceived affective reaction, perceived self-effectiveness and perceived risk.

The study recruits 455 backers to evaluate 100 projects on a crowdfunding platform. Structural equation modeling based on partial least squares is used to analyze data and test the hypotheses.

The results show that perceived sustainability orientation influences value-co-creation behavior through perceived affective reaction and self-effectiveness. Furthermore, perceived sustainability orientation impacts participation behavior through perceived risk.

Our study mainly focuses on sustainability-oriented and reward-based crowdfunding projects. Future research can examine other types of projects and other crowdfunding platforms.

These findings can provide implications for project creators to improve the values co-created with backers in future sustainability-oriented projects. Furthermore, the findings can provide implications for backers and help them evaluate crowdfunding projects.

The existing studies are mostly concerned with project creators’ perspectives. This paper is one of the few to investigate how a project’s sustainability orientation influences backers’ psychological factors and value-co-creation behavior.

In the vibrant world of social commerce (SC), where information flows freely, interactions thrive and online purchases abound, there is an escalating challenge. Users are uninstalling and disengaging due to approach and avoidance stimuli, a trend mirroring the approach-avoidance motivation model (AAMM). Our study, anchored in AAMM and the stimulus-organism-response (SOR) model, aims to dive into the complex dynamics of these factors that shape users' SC continuance intentions.

Our findings, drawn from 472 SC users in Malaysia, paint an intriguing research framework via PLS-SEM analysis by testing the proposed hypotheses. A purposive sampling technique was utilized, deliberately selecting respondents based on specific criteria. Subsequently, data were gathered through the distribution of face-to-face questionnaires at selected shopping malls, facilitating a focused and comprehensive exploration of consumer perspectives.

The empirical results demonstrate the following: (1) Users' determination to stay engaged on SC platforms hinges on approach factors, like emotional support, surveillance gratification and multisensory gratification. (2) Simultaneously, avoidance factors such as technostress and perceived deception exert their negative influence. (3) Flow experience, rooted in flow theory, emerges as the underlying mechanism connecting these duality stimuli, influencing the continuance intention.

In a departure from conventional research, our study pioneers a comprehensive approach and boldly confronts the research gap by introducing a rich tapestry of antecedents, embracing both the appeal of approach factors and the deterrence of avoidance ones, using the AAMM that sheds light on how individuals navigate between embracing opportunities and avoiding pitfalls based on perceived gains and losses. This holistic approach enables us to redefine our understanding of digital engagement dynamics, offering a captivating journey into the realm of user experience and intention that transcends the ordinary.

This study explores the underlying mechanism of psychological reactance that leads to online shopping hate in social commerce. Based on self-congruity and psychological reactance theory, this study examines the antecedents (symbolic, functional and emotional incongruence) and consequences (online shopping hate) of psychological reactance among online users toward online shopping. Moreover, this study takes trustworthiness as a moderator in the relationship between attitude ambivalence and psychological reactance.

Data were collected from online users.

The results show that symbolic-incongruence and functional-incongruence are responsible for attitude ambivalence, resulting in high psychological reactance. In addition, the study’s findings reveal that psychological reactance is positively linked with online shopping hate. This study extends and contributes to the self-congruence theory and empirically examines the influence of emotional incongruence. The moderating results reveal that trustworthiness moderated the relationship between attitude ambivalence and psychological reactance. The study findings are helpful for marketing managers to develop social commerce strategies.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The study findings are helpful for marketing managers to develop social commerce strategies.

This study explains the underlying mechanism of brand hate through psychological reactance.

The study's objective is to examine the consumers' intention to buy counterfeit brand shoes. A conceptual model is developed to test the risk-taking and word-of-mouth (WOM) as a moderator in the relationship between status consumption, brand image, and consumer intention to buy counterfeit shoes.

Based on the theory of reasoned action (TRA) and signaling theory (ST), this research was conducted in the Indian National Capital Region. Using a structured instrument, the data was collected from 240 respondents. After checking the psychometric properties of the survey instrument using the Lisrel package of structural equation modeling, Hayes's PROCESS macros were used for testing the hypotheses.

The findings from the study indicate that (1) status consumption and brand image are positively associated with purchase intention of counterfeit brand shoes, and (2) risk-taking moderates the relationship between (1) status consumption and purchase intention, and (2) brand image and purchase intension, (3) significant three-way interaction between WOM, risk-taking and status consumption on purchase intention, and (4) significant three-way interaction between brand image, WOM, and risk-taking on purchase intention of counterfeit brand shoes.

As with any survey research, this study has common method variance as a potential problem. However, through the latent variable method and Harman's single-factor analysis, the common method variance was checked. The study has several implications for managers, e-marketers, and consumers.

The study has several implications for marketers selling counterfeit products and managers intending to protect their branded products.

A conceptual model showing two-way and three-way interactions between status consumption, risk-taking, and WOM influencing the consumer purchase intention of counterfeit products was discussed. This is the first of its kind in India to explore such relationships.

With the advent of the second wave of COVID-19 pandemic, there is a need to analyse the scenario of panic buying (PB) behaviour of the customers which was evident in the first wave. This paper aims to examine the PB scenario as well as the moderating effect of past buying experience (PBE) on PB in the second wave of the COVID-19 pandemic.

This study is based on the theories of stimulus–organism–response model and the competitive arousal model. Based on these theories, this paper investigates how panic situation created by external stimuli such as perceived scarcity (PS), perceived risk (PR), news in media (NM) and social learning affect the perceived arousal (PA) among people which in turn influence the PB behaviour of customers. Data were collected from 253 customers from different parts of India. Structural equation modelling is used to analyse the moderating effect of PBE on the PB in the second wave of COVID-19 pandemic.

The results indicate that the PS, PR and NM continue to be strong predictors of a buyer for PA. However, the PB is not reinforced by the moderation effect of PBE.

This paper investigates the consumers’ PB behaviours in the wake of third wave of COVID-19 pandemic which add to the existing literature of COVID-19 pandemic. Moreover, this study also examines how previous buying experience can moderate the PB behaviour of the customers in subsequent phases of COVID-19 pandemic. This supports the potential effectiveness of self-regulation as an intervention strategy for reducing PB behaviours during the COVID-19 pandemic.

This study emphasises the impact of external stimuli like PS, PR and media coverage on PB behaviour, marketers and policymakers should manage to avoid triggers. Although PBE may not moderate PB during a pandemic, it can play a significant role in future buying behaviour. Anticipating potential triggers and designing effective marketing strategies that cater to customers' needs can help manage PB behaviour during disasters or pandemics. In addition, promoting conscious consumption awareness and self-regulation practices among customers can help manage PB behaviour, benefit the environment and society and make customers more responsible buyers.

To the best of the authors’ knowledge, this study examines the PB behaviour of customers during the second wave of COVID-19 pandemic for the first time. This study also investigates the moderating effect of PBE on the PB behaviour of customers during a pandemic which is new and significant that extends the literature on PB behaviour during a pandemic.

Discount grocery stores (DGSs) are attractive food supply chain (FSC) channels because many cost-conscious Indians use them for monthly needs. Despite capacity, DGSs must address customer concerns about store crowd densities and improve their COVID-19 preparedness. The purpose of this study is to learn how retail operations strategies can improve customer experience and how stores can benefit.

The study looked at a case study where retail operations are run more efficiently, and the customer experience is enhanced by standardizing and customizing customer transactions. The potential benefits that customers and retailers might anticipate are then statistically verified. Next, the potential benefits were examined to determine which ones from customers’ and retailers’ views should be prioritized to increase satisfaction.

The case situation analysis in the study demonstrates how DGSs can improve their retail operations to reduce customer wait times and provide greater convenience. The study also provides practitioners with potential benefits to pursue from the perspectives of retailers, customers and both retailers and customers.

This study requires many past transactions and can be considered an extension of the current study, so it does not capture floor space and capacity improvements.

This research can help FSC retailers compete with upstream supply chain partners and customers in omnichannel retailing. By improving DGS retailer capacity and customer experience, this study can benefit all FSC stakeholders.

Although there are numerous potential benefits that practitioners can pursue, the current study suggests that practitioners focus on those that can improve retailer and customer satisfaction.

COVID-19 disrupted the lives of consumers across the globe, and the retail sector has been one of the hardest hits. The impact of COVID-19 on consumers' retail choice behaviour and retailers' responses has been studied in detail through multiple lenses. Now that the effect of COVID-19 is abating, there is a need to consolidate the learnings during the lifecycle of COVID-19 and set the agenda for research post-COVID-19.

Scopus database was searched to cull out academic papers published between March 2020 and June 6, 2022, using keywords; shopping behaviour, retailing, consumer behaviour, and retail channel choice along with COVID-19 (171 journals, 357 articles). Bibliometric analysis followed by selective content analysis was conducted.

COVID-19 was a black swan event that impacted consumers' psychology, leading to reversible and irreversible changes in retail consumer behaviour worldwide. Research on changes in consumer behaviour and consumption patterns has been mapped to the different stages of the COVID-19 lifecycle. Relevant research questions and potential theoretical lenses have been proposed for further studies.

This paper collates, classifies and organizes the extant research in retail from the onset of the COVID-19 pandemic. It identifies three retail consumption themes: short-term, long-term reversible and long-term irreversible changes. Research agenda related to the retailer and consumer behaviour is identified; for each of the three categories, facilitating the extraction of pertinent research questions for post-COVID-19 studies.

Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.

A quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).

Perceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.

The literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

The purpose of the study is to understand how socially shared misinformation and rumors can enhance the motivation to protect personal interests and enhance social practices of panic buying.

The study employed a number of qualitative data collection methods for the purpose of triangulation, as it can offer thick interpretation and can help to develop a context specific research framework.

The shared misinformation and rumors on social media developed into psychological, physical and social threats; therefore, people started panic buying to avoid these negative consequences. People believed that there were differences between the information shared by politicians and government officials and reality, such as “everything is under control,” whereas social media showed people standing in long queues and struggling to buy the necessities of life. The shared misinformation and rumors on social media became viral and received social validation, which created panic buying in many countries.

It is the responsibility of government, politicians, leaders, media and the public to control misinformation and rumors, as many people were unable to buy groceries due either to socio-economic status or their decisions of late buying, which increased depression among people.

The study merged the theory of rumor (TORT) transmission and protection motivation theory (PMT) to understand how misinformation and rumors shared through social media increased global uncertainty and the desire to panic buy across the world.