Online and offline retailing: What we know and directions for future research

Ratchford, Brian T.; Soysal, Gonca; Zentner, Alejandro; Gauri, Dinesh K.

doi:10.1016/j.jretai.2022.02.007

Cited by 64 publications

(48 citation statements)

References 174 publications

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“…, 2021). This phenomenon was observed despite the government lockdowns resulting in a higher unemployment rate, which further decreased spending, especially in offline retail sales (Ratchford et al. , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hermes was not the only brand; the phenomenon of revenge buying was observed in various other countries such as China, India, Germany, Italy and United Kingdom (Kawaf et al, 2021). This phenomenon was observed despite the government lockdowns resulting in a higher unemployment rate, which further decreased spending, especially in offline retail sales (Ratchford et al, 2022). However, this counterintuitive phenomenon observed after the easing of government lockdowns grabbed the attention of researchers worldwide.…”

Section: Existing Literature On Consumption Post-covid-19mentioning

confidence: 99%

“…Because of these restrictions, most routine economic activities were severely affected, leading to a drop in income, loss of employment and uncertainty about the future among the population (Nguyen and Chao, 2021). Consequently, consumer behaviour quickly changed to frugality, thrift and online purchases, making several offline retailers resort to online retailing as well (Ratchford et al, 2022). Thus, the pandemic outbreak depressed sales of offline retail outlets (Seetharaman, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Decoding revenge buying in retail: role of psychological reactance and perceived stress

Gupta

Mukherjee

2022

IJRDM

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PurposeCOVID-19 pandemic-related Government restrictions on the movement of people resulted in consumers moving away from retail outlets. However, sporadic instances of an unexpected surge in retail buying happened across the world immediately after the lifting of such restrictions. This uncommon phenomenon, termed revenge buying, offered an opportunity to revive retail businesses. This paper applies Reactance Theory (RCT) and Self-determination Theory (SDT) to model consumers' revenge buying intentions.Design/methodology/approachData was collected from 384 respondents in India using validated scales. The study used structural equation modelling for model testing.FindingsCOVID-19 restrictions resulted in autonomy need frustration in consumers, which induced psychological reactance and perceived stress. Psychological reactance positively impacted, while perceived stress negatively impacted revenge buying intentions. Thus, revenge buying was observed only when the psychological reactance was more than perceived stress.Research limitations/implicationsThis study, conducted in only one country with a limited convenience sample, limits the generalizability of findings.Originality/valueThis research model the psychological consequences of need frustration to explain the sporadic incidences of revenge buying in retail outlets. Further, it proposes sales recovery strategies for retailers in the immediate post-pandemic market scenarios. Retailers' strategies should focus on alleviating stress and anxiety because of health concerns, highlighting the retail buying experience to stimulate the need to visit the outlet and positioning retail buying as a potential reactance response by consumers.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Existing Literature On Consumption Post-covid-19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Decoding revenge buying in retail: role of psychological reactance and perceived stress

Gupta

Mukherjee

2022

IJRDM

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“…, 2021). Hence, Ratchford et al. (2022) proposed a need for more research on the influence of retailers' social media communication on consumers, and Verk et al.…”

Section: Introductionmentioning

confidence: 99%

Transparency in corporate social responsibility communication on social media

Lee

Chung²

2023

IJRDM

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PurposeRetailers recently have started communicating their corporate social responsibility (CSR) commitments to their consumers directly on social media. That is to say, CSR communication has expanded to social media that allow two-way communication, distinct from traditional CSR communication channels. As transparency has been recognised as a crucial factor influencing the effectiveness of traditional CSR communication, this study investigated its role in the social media context.Design/methodology/approachA two-level, single-factor (i.e. transparency of a mock retail company's CSR communication) between-subjects experimental design was employed, and 237 responses from an online survey were used for PROCESS macroanalysis.FindingsTransparent CSR communication was found to increase the consumers' perceived CSR credibility and attitude toward the company, which influenced consumers' subsequent purchase intention (functionalistic outcome) and intention to respond to the CSR communication (constitutive outcome). The results of the study also corroborated that consumers' level of elaboration when processing CSR communication on social media depends upon their level of concern over the social issue.Originality/valueThe study extends the elaboration likelihood model (ELM) to CSR communication in the social media context by validating that consumers' level of information elaboration is determined by their level of concern over the social issue. In addition, it provides the first empirical support for the significance of transparent CSR communication on social media and explains the mechanism of transparency's influence. Transparency indirectly affects consumers' behavioural intentions by forming a favourable attitude toward a retailer. The findings can help retail practitioners communicate CSR commitments persuasively on social media. The study also integrates functionalistic and constitutive perspectives of social media CSR communication, which is notable and discussed in depth.

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“…In recent years, the rapid development of Internet technology provides technical support for the rapid development of online retail according to Ratchford (2022) [1]. Hong (2016) [2] points out that the current representative online retail enterprises are Jingdong, Taobao, Amazon, Pinduoduo, etc., and the competition is very fierce.…”

Section: Introductionmentioning

confidence: 99%

Dynamic partition strategy of warehouse area based on workload balance

Zhan

Liu

Yang

et al. 2023

3rd International Conference on Internet of Things and Smart City (IoTSC 2023）

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In order to improve the efficiency of warehouse outbound delivery and avoid local congestion of AGVs, this paper considers both strategies of AGVs path optimization and tasks balancing in the warehouse. In this paper, the A * algorithm is improved. Different estimation functions are used in different areas to more accurately depict the distance relationship between each point pair, and efficiently calculate the shortest feasible path from each storage location to each picking station. At the same time, the outbound tasks are planned reasonably. By establishing a 0-1 integer programming model and using Gurobi to solve it, tasks are allocated regularly to each picking station in the warehouse to maintain the workload balance among the picking areas. The experimental results show that the above strategies reduce the maximum working time of each picking area from 1793t seconds to 1511t seconds, and effectively reduce the total mileage of AGVs and the probability of AGV local congestion.

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Online and offline retailing: What we know and directions for future research

Cited by 64 publications

References 174 publications

Decoding revenge buying in retail: role of psychological reactance and perceived stress

Decoding revenge buying in retail: role of psychological reactance and perceived stress

Transparency in corporate social responsibility communication on social media

Dynamic partition strategy of warehouse area based on workload balance

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