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Advances in digital technologies and the growing number of touch points have had a significant impact on the shopping behaviour of omnichannel customers. Several research papers have explored different facets of omnichannel, but only a few have thoroughly explored the literature on showrooming and webrooming simultaneously. This paper aims to identify the key groups of antecedents influencing customer buying behaviour in omnichannel, under the influence of digital technologies, with a particular focus on showrooming and webrooming.

Our study conducted a systematic literature review to identify the factors influencing customers’ buying behaviour in omnichannel, which have been the subject of academic discussion over the last decade. We finalized 149 articles for the thematic analysis and identified three groups of antecedents: channel-related, product-related and consumer-related with their subgroups.

Under channel-related antecedents, cost and perceived benefits, search convenience, need for interaction and situational circumstances have been identified as major attributes. The expressiveness of the product, product demonstration and search and experienced products have been identified under product-related antecedents, followed by price consciousness, past experiences, perceived risks and shopping motivations as leading attributes under consumer-related antecedents. The study revealed the multifaceted influence of digital technologies on omnichannel buying behaviour. Digital technologies are shaping the antecedents related to channels, products and consumers. Digital technologies simultaneously mediate between antecedents and the selection of a specific path within an omnichannel environment. Showrooming and webrooming should no longer be seen as general concepts. The rise of digital technologies has led to the development of new consumer journey patterns and the blurring of distinctions between showrooming and webrooming. A conceptual framework has been proposed to understand consumers' omnichannel behaviour, having considered the identified antecedents and the role of digital technologies.

This study advances the academic understanding of consumer behaviour in omnichannel under the influence of digital technologies and provides important implications for omnichannel management. With the advancement of digital technologies such as augmented reality and virtual reality, retailers should implement channel integration strategies to bridge the gap between online and offline channels, providing a memorable shopping experience for omnichannel customers.

This study is unique because it identifies and analyses the antecedents of consumer behaviour in omnichannel settings under the influence of digital technologies. It also uncovers new potential combinations of showrooming and webrooming patterns. The proposed framework can help retailers in their future planning of omnichannel strategies.

COVID-19 is one of people's glooming disasters that brought the entire world to a standstill. To reduce the effect, a countrywide lockout was announced. Stock and distribution chains were affected on a larger scale. Due to the pandemic, purchasing habits of people have changed. It is also evident that individuals are choosing to shop online. As per recent researches, consumer buying behaviour has transformed as a result of the contagion. Due to which, many businesses are revolutionizing to adjust to the new reality. This study was taken up to scrutinize the effect of Corona Virus Disease of 2019 on changes in customer buying behaviour towards E-commerce. This study has offered detailed information on new ways of buyer shopping. It suggests that during the COVID-19 pandemic, consumers have become more accepting of internet shopping, experts in webrooming and with time they are mastering the art of online shopping as well as tuned to online payment methods and are accepting to live with ease in an economy of cashless e-transactions.

Research on showrooming has focused on investigating its antecedents, motivators and characteristics, leaving a gap regarding its consequences. Our study intends to build a comprehensive framework to examine the role of showrooming behaviour on showrooming satisfaction and customer loyalty while exploring its antecedents.

Data collection took place in Brazil through an electronic form distributed on social media, reaching 393 people. After eliminating responses from those who had no showrooming experience, the final sample consisted of 310 respondents. The questions captured the costs and benefits of showrooming, internet savviness, showrooming behaviour, satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). We performed partial least squares data analysis by means of the statistical package Smart PLS 4.

The results show that showrooming behaviour is positively influenced by internet savviness and the perceived benefits of showrooming but not by the perceived costs of showrooming. In addition, showrooming behaviour positively influences satisfaction with showrooming and customer loyalty (i.e. repurchase intention and positive word-of-mouth). Finally, we identify satisfaction with showrooming as a mediator between showrooming behaviour and customer loyalty.

Given that the implications of showrooming behaviour on customer loyalty remain understudied, this work contributes to the marketing literature by demonstrating the influence of showrooming behaviour on satisfaction with showrooming and its consequential effect on customer loyalty. Moreover, we confirmed the mediating role of customer satisfaction in the relationship between showrooming behaviour and customer loyalty.

E-commerce expands product and service reach, emphasizing the need for strategic market approaches to enhance e-service quality and drive sales growth. This paper aims to assess the relationship between the perceived quality of e-commerce platforms (characterized by measures of order and return convenience), customer satisfaction with online shopping and repurchase intention from online stores as well as examine whether demographic variables such as age, gender and area of residency (urban/rural) influence the ratings of each of these variables.

An online, self-administered survey gathered 108 valid responses from e-commerce customers. Data were analyzed in Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) through principal component analysis, confirmatory factor analysis and structural equation modeling (SEM) as well as correlation, descriptive statistics, difference of means tests and nonlinear regression.

Online shopping on e-commerce platforms is seen as convenient for both placing orders and managing returns. Additionally, consumers express satisfaction with their online shopping experiences and exhibit a strong intention to repurchase. The analysis revealed linear relationships between order convenience and customer satisfaction, between order convenience and repurchase intention and nonlinear relationships between return convenience, customer satisfaction and repurchase intention. No significant difference was found between the way the demographic variables rated the convenience, satisfaction and repurchase intention constructs.

This study contributes to the empirical literature on service quality in e-commerce by providing a streamlined model of the interactions among the factors as well as by isolating the nonlinear relationships and comparing results across three demographic variables. From a managerial standpoint, the findings suggest that strategies aimed at providing complete qualitative information and enhancing order and return convenience improve customer satisfaction and foster repurchase intention.

The study aims to study the extent of research done in luxury marketing in an emerging economy like India by conducting a bibliometric analysis. A period of 21 years has been considered to present a comprehensive picture for results and analysis. Key findings indicate the gaps and scope of further research for academics in India and abroad. The findings indicate a dearth of research by scholars and academicians in luxury, counterfeit and masstige, especially when there is a surge of the upper middle class in India. More specifically, Indian-grown luxury brands also present a massive scope for future research.

This paper focuses on the last-mile logistics (LML) operations in fulfilling online grocery orders and the related sustainability considerations in sparsely populated areas like Australia. It aims to examine how online groceries in sparsely populated areas can benefit from online business. Specifically, this study seeks to investigate whether a centralized order fulfillment approach is better than the existing approach which fulfills online orders from local grocery stores.

A multi-method approach is employed to conduct a high level of cost and emission analysis between the existing and the proposed approaches to illustrate the ratios between the two approaches in terms of cost and carbon emissions. Mathematical models are developed with support from the literature. The model is empirically validated with a case study of grocery distribution in the city of Gold Coast, Australia.

It finds that the centralized order fulfillment approach in sparsely populated areas can achieve LML sustainability with low cost, high efficiency and less double handling. Meanwhile, the separation of in-store and online retailing processes improves the in-store shopping experience and online shopping visibility, jointly improves customer satisfaction, and consequently achieves a positive effect on long-term sustainability. Additionally, the possibility of automating order picking and dispatching at a central place can make the processes more efficient and help build more sustainable grocery retailing supply chains by using more environmentally friendly systems.

This paper offers analytical and empirical insights into the sustainability of multi-channel grocery retailing supply chains. The high-level model developed first incorporates the concept of online shopping adoption rates and can serve as a decision-making tool for practitioners to improve supply chain sustainability in LML.

This systematic review of the current gender inequality issues in operations and supply chain management (OSCM) seeks to illuminate the multifaceted aspects of this issue and their various implications for the field.

Employing systematic literature review and Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses (PRISMA) methodologies, this research delves into an analysis of 238 journal articles spanning a 47-year period. The objective is to discern existing voids and put forth actionable suggestions that align with the United Nations’ Sustainable Development Goal Number 5 (SDG5) in the context of men and women, which pertains to realizing gender equality and empowering girls and women.

The results show a significant increase in published articles over the period. However, only five literature review articles were found that specifically address gender inequality in OSCM. The five common themes impacting gender inequality in this field are gender issues, mindset, transportation disparities, human resources and gender roles in OSCM, alongside sustainability, mobility and government policy intersections. The paper emphasizes the need for further research on these themes. It also suggests implications for educators, researchers, companies, OSCM departments and policymakers to achieve SDG5.

This study offers valuable insights by comprehensively reviewing and systematically analyzing the prevailing gender inequality issues within OSCM. It accentuates the significance of gender equality in OSCM, augmenting the burgeoning discourse and catalyzing concerted endeavors for gender equality.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

This study examines the effects and driving mechanisms of relational bonds (i.e. financial, social, and structural bonds), live-streaming shopping atmosphere factors (i.e. suspense, entertainment, perceived crowdedness, and vicarious experience), consumer empowerment and customer commitment on consumers’ impulse consumption behavior. Additionally, the study examines the moderating influence of product involvement and collectivism.

An online survey was conducted with 665 valid respondents. The authors empirically validated the collected data through the partial least squares structural equation modeling (PLS-SEM) technique, complemented by the artificial neural network (ANN) analysis.

The results suggest that financial bonds, structural bonds, suspense, entertainment, and vicarious experience promote consumer empowerment, which in turn leads to customer commitment and impulse consumption behavior. Second, collectivism moderates the relationship between customer commitment and impulse consumption behavior.

This study provides empirical evidence that relational bonds and live-streaming shopping atmosphere factors play predictive roles in enhancing consumer empowerment, which further promotes impulse consumption behavior through customer commitment. Also, collectivism is found as a moderator.

For nanostores, striving to become the community group-buying leader is gaining prominence. This paper aims to construct Hotelling linear models to investigate whether nanostores should be registered as leaders and their decisions in a competitive environment.

This paper constructs three Hotelling linear models: neither nanostore registers as community leader, only one nanostore registers as community leader and both nanostores register as community leader. The competitive operation strategies of two general nanostores under three scenarios are solved.

The study finds that nanostores without a cost advantage may benefit from being the first leader. The nanostore's preferred decisions depend on the investment cost parameters of its own and competitors which may lead to market share competition. Furthermore, consumers' sensitivity to community group-buying service has a negative effect on nanostores' profit.

The study is one of the few to consider the competition between community leaders. Besides, the study considers that the utilities functions of consumers are concurrently impacted by the service decisions, along with the price in different nanostores. It can provide nanostores useful implications in the dynamic industry.