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This study explores the present state of research related to omnichannel retail, investigates retail's different sub-areas and suggests future research directions.

The subdomains of omnichannel retail have been identified using a keyword co-occurrence network (KCN) map and content analysis. The 5W1H method assisted in finding the bibliographies of 258 SCOPUS-indexed and ABDC-ranked journal articles and showcasing the omnichannel retail landscape.

Most research on omnichannel retail is concentrated on five subdomains: customer behaviour, channel integration, technological innovation, supply chain and operations and strategy. The study's conceptual framework illustrates the omnichannel retailing environment and the variables that must be considered whilst establishing an omnichannel strategic vision. Besides, future researchers have been urged to concentrate on interdisciplinary research, as a seamless experience is unachievable if focussed on a single subdomain.

There is a slight probability of missing out on some good articles as this study considered only those articles that have been published in SCOPUS and ranked by the ABDC quality list.

This study emphasises that for businesses to capitalise on the omnichannel model, the businesses must undergo a transformation involving technology convergence, customer-centricity and internal process reorganisation that integrates consumer feedback to co-create value. When a business adopts an omnichannel model, the business's priorities shift. Rather than depending solely on technology, faster delivery and channel integration, an omnichannel strategy requires strong leadership, a clear vision, training for all stakeholders and an understanding of customer pain points to reach the full potential.

The illustration of the omnichannel retail landscape using the 5W1H methodology and antecedents-decisions-outcomes (ADO) framework.

This chapter provides an overview of technology management to support retailing, before and during the COVID-19 pandemic. Specifically, it focuses on the technologies developed and in use before the pandemic, the ones further developed as response to the pandemic, while the final part of the chapter proposes a new technology implementation process (cycle) to support retailers in introducing new technology. In particular, the process in based on seven main activities: (1) Technology need recognition; (2) Technology screening; (3) Initial development and testing; (4) Business analysis; (5) Technology development; (6) Market acceptance testing; and (7) Technology adoption, while monitoring and learning actions should occur constantly throughout the process to evaluate the benefit of the technology at each stage (or to discard for further investment).

This paper builds a theoretical argument of how the Internet increases the scope for disintermediation and analyzes the changes in the structure of transaction costs in the case of retailing. The paper treats the Internet as a low‐cost selling technology that needs substantial customers acceptance and a specific business model in order to be a viable alternative to traditional retailing. The proposed model predicts that different types of traditional retailers follow different strategies with respect to e‐commerce depending on their pre‐Internet market positioning. These conclusions are supported by empirical evidence from the adoption strategies, followed by a sample of well‐established U.S.‐based retailers. This study shows that retailers whose traditional selling technology is best approximated by e‐commerce are more likely to be among the first to reap the benefits of low‐cost online distribution.

In the aftermath of the COVID-19 pandemic, technology is rewriting the way consumers shop as well as the retail operating models. In this context, investment in new technologies is a strategic imperative for retailers striving to remain relevant and profitable. Using Kahn's Retail Success Matrix as the conceptual framework, the aim of the study is to propose a classification of emerging technologies based on their potential for sustaining retailers' competitive strategies.

Following an initial qualitative study based on in-depth interviews and focus groups with 20 retail managers, the authors collected survey data from a sample of 168 retail and technology professionals. To achieve the research objectives, content, descriptive and multiple correspondence factor analyses were carried out.

The data analyses result on a map that plots the technological solutions that retail experts identify as enablers of four key competitive strategies: product superiority, enhanced customer experience, frictionless shopping experience and operational excellence.

This research work provides valuable insight into how retail companies can capitalise on technology to create or reinforce their competitive positioning. The framework acts as a guide for retail companies to assess their technology priorities.

This exploratory empirical study is the result of a collaboration between academic researchers and retail professionals. Thus, it addresses challenges experienced by key stakeholders. The encompassing classification enables a better understanding of the impact of technology on retailers' competitive positioning.

As the world moves toward globalization, new trends and applications are on the rise as an attempt to meet the ever-changing needs of consumers. In this sense, new technologies have been introduced as a means to differentiate the product and service offerings along with some emerging retailing perspectives. It is obvious that omnichannel retailing is cited as one of the emerging trends in marketing. In this globe, customer experience management plays a crucial role in establishing sustainable omnichannel retailing strategies. Considering all the variables in the business environment, it is seen that effective tools of omnichannel operations should well be implemented as a response to effectively compete in the business environment. This chapter reveals some of the major literature and applications in the context of omnichannel retailing whereby the most concern of interest is given to the importance of customer experience and its formation.

This chapter offers a specific point of view on the Town Centre retail, in ­order to develop a new way to enhance the customer retail experience in this place. The combination of shopping over the Internet and the interactive technologies represents for Town Centre retailers one of the possible solutions in the creation of a multisensory experience for people living in and visiting this urban area. By welcoming the challenge of creating multisensory experiences, “bricks and mortar” stores need to integrate digital solutions to create and handle experiences. Customers can interact with people and contents via digital technologies such as Quick Response, Electrochromic Glass, Touch Systems, Outdoor Totems, Holographic Technology, and Augmented Reality. From the analysis of the academic literature emerges an agreement that the use of the Internet and interactive technologies are not totally exploited as tools able to revitalize the Town Centre retail and create animated, lively streets that offer multisensory experiences. Based on the above considerations, this chapter provides a theoretical model in order to create an immersive retail experience within the physical store by combining the use of the Internet to conduct shopping and the interaction with several kinds of technologies.

The study aims to identify and analyse complex interrelationships among factors influencing omnichannel retailing adoption in Indian apparel firms.

The study applies an integrated interpretive structural modelling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) approach for understanding the hierarchical and contextual relationship structure among the factors influencing omnichannel retailing adoption.

The integrated ISM–DEMATEL approach identifies that financial commitment is the most crucial factors followed by technological capability, training and development, performance metrics, supportive organisational structure, collaboration and knowledge sharing, offline–online information aggregation and integrated technological platform. Also, the study reveals that financial commitment and supportive organisational structure impact the majority of factors but are affected by only a few factors.

Unlike previous studies, this study suggests an alternate approach to theory building emerging from the various factors that could be considered while developing omnichannel retailing.

Practitioners should pay close attention to leading factors that influence the adoption of omnichannel retailing, namely, financial commitments, supportive organisational structure, technological capability, integrated technological platform and training and development rather than focusing on significant receivers, such as warehouse management and assortment management.

The integrated approach of ISM-DEMATEL offers a hierarchical model and cause–effect relationship among factors influencing omnichannel retailing adoption.

Disruptive retailing technologies improve productivity and cost optimization, but there is a lack of academic literature about their effects on shoppers’ perceptions and behaviors. This paper aims to develop and test a conceptual model regarding the effects of retail technology on store image and purchase intentions and to measure how human interaction services (HIS) moderate this relationship. Two relevant retail technologies are explored.

The results of this study indicate that retailing technology has notable influences on consumer perceptions. Thus, shopping technologies improve store image perceptions and increase purchase intention, moderated by HIS.

Future field experiments in actual stores should attempt to corroborate the results of this study and offer greater internal validity.

The results should help reduce retailers’ resistance to technology adoption. In-store technology can help retailers leverage their store image and increase purchase intentions. HIS could offer a bridge between consumers and new technology.

This paper is an original research paper, given that few research papers are experimentally based to measure consumer’s reactions to new technology implementation.

Las tecnologías disruptivas de ventas al por menor mejoran la productividad y la optimización de costes, pero hay una falta de literatura académica sobre los efectos de estas tecnologías en las percepciones y actitudes de los compradores. Este artículo desarrolla y prueba un modelo conceptual de los efectos de la tecnología minorista en la imagen de la tienda y las intenciones de compra y mide cómo los servicios de interacción humana moderaron las relaciones. Este artículo explora dos tecnologías comerciales relevantes para investigarlo.

Un total de 480 personas participaron en los tres experimentos en un laboratorio y utilizaron las etiquetas electrónicas de estanterías (ESL) y el carro inteligente de la misma manera que podían usarlo en las tiendas.

Los resultados indican que la tecnología de venta al por menor tiene influencias notables en las percepciones de los consumidores. Por lo tanto, las tecnologías de compra mejoran la percepción de la imagen de la tienda e incrementa la intención de compra moderada por los servicios de interacción humana.

Es una contribución original porque pocos trabajos de investigación se basan en experimentos para medir las reacciones de los consumidores debido a la implementación de la nueva tecnología.

Los experimentos de campo en tiendas reales deben intentar corroborar estos resultados y ofrecer una mayor validez interna.

Los resultados deberían ayudar a reducir la resistencia de los minoristas a su adopción. La tecnología en la tienda puede ayudar a los minoristas a aprovechar su imagen de tienda y aumentar las intenciones de compra. Los servicios de interacción humana podrían ser un puente entre los consumidores y las nuevas tecnologías.

Retail management has acquired the attention of scholars and practitioners, with many international and prestigious journals specifically relating to the topic. Also, top-tier journals in other disciplines have proposed special issues on the new advances in retailing, with emphasis on the role of new and smart technologies. On the one hand, the research in retailing seems to be prolific; on the other hand, the interest in retail education (from a research and university perspective) seems to be more limited. The purpose of this paper is to capture the (mis)match between the leading universities' offerings and job demand in the UK. In this way, the paper identifies opportunities for educators and researchers to educate future career-ready professionals in retailing and improve research in retail education.

The research evaluates the offer of UK retail education in terms of programmes/courses, focusing on the Russell Group universities for the academic year 2020/2021 (September starts) and the demand of certain skills and competences by the largest retailers in the UK. The study utilizes secondary data based on the courses/programmes specifically related to the retail sector and on the job opportunities through the leading UK grocery retailers.

The findings reveal the extent of the gap between the university educational offerings and the requirements from retailers.

To the best of authors’ knowledge, this paper is the first attempt to capture and compare multiple evidence bases related to academic curriculums and employers' requirements for specific retail competencies.

The results from a survey of top retailing executives regarding current logistics practices and trends are described. The focus is on customer service factors, the use of a supply chain management approach in retailing channels, and the impact of information technology on retail logistics today and in the future. Information technologies discussed include electronic data interchange, point of sale and barcoding. The article concludes that based on the importance that retailers attach to customer service, supply chain management and information technology, the 1990s will likely be an exciting and challenging time in the management of the retail logistics function.