Search results

Digitalization denotes an on-going transformation of great importance for the retail sector. The purpose of this paper is to analyse the phenomenon of the digitalization of retailing by developing a conceptual framework that can be used to further delineate current transformations of the retailer-consumer interface.

This paper develops a framework for digitalization in the retail-consumer interface that consists of four elements: exchanges, actors, offerings, and settings. Drawing on the previous literature, it describes and exemplifies how digitalization transforms each of these elements and identifies implications and proposals for future research.

Digitalization transforms the following: retailing exchanges (in a number of ways and in various facets of exchange, including communications, transactions, and distribution); the nature of retail offerings (blurred distinctions between products and services, what constitutes the actual offering and how it is priced); retail settings (i.e. where and when retailing takes place); and the actors who participate in retailing (i.e. retailers and consumers, among other parties).

The framework developed can be used to further delineate current transformations of retailing due to digitalization. The current transformation has created challenges for research, as it demands sensitivity to development over time and insists that categories that have been taken for granted are becoming increasingly blurred due to greater hybridity.

This paper addresses a significant and on-going transformation in retailing and develops a framework that can both guide future research and aid retail practitioners in analysing retailing’s current transformation due to digitalization.

The state of interactive digital technology is evolving rapidly and has shifted the ways in which customers shop dramatically. This trend heightens the need for research that examines the latest interactive digital technology tools adopted in fashion retailing. In response, the purpose of this paper was to examine fashion retailers’ incorporation of new interactive digital technology – in both online and offline retailing formats, and including new hybrid contexts – and its results in providing new experiential quality that contributes strongly to engage with customers.

The paper first reviews the literature and then proposes the research questions. This is followed by exploratory substantiation of those propositions with the findings from case studies that examined the new interactive digital technology implemented by six leading fashion retailers.

Various digital technology tools implemented in brick-to-click, click-to-brick and brick-and-mortar retailing offer customers a variety of experiential qualities that allow them to co-create products, engage in emotion-driven sensational and personalized shopping experiences and seamless shopping virtually, all of which derive from interactive digital technology implemented to enhance customer engagement.

This research examined the implementation of interactive digital technologies across the full spectrum of the fashion retail settings above. This paper makes an original contribution by adopting a customer-centric perspective and assessing the advantages technology provides to customer’s engagement quality in shopping, which differs from the traditional firm-centric perspective that views technology as a way to innovate retailers’ operations.

Digitalization has transformed several industries during the past two decades. In this paper the authors focus on the retail sector, where new business models help retailers and suppliers meet the ever changing and demanding needs of retail shoppers. One example of this business model innovation is multi-sided digital platforms, which have become popular as they connect consumers with suppliers from around the world with a large ecosystem to support the retail platform. The purpose of this paper is to provide an overview of how multi-sided digital platforms are transforming the retail exchange logic and assess the implications and impact of these platform-based businesses on the retail sector, especially for business managers and consumers.

In this paper, the authors employ literature review, conceptual analysis and qualitative case study methodology. The authors provide an overview of how the platform economy is affecting the retail sector through the illustration of four digital multi-sided platforms: Alibaba Group, Amazon.com, eBay and Rakuten Group, and what differentiates them from incumbent business models in retailing.

The findings suggest that platforms transform the transaction logic of retailing as they simply intermediate transactions between buyers and suppliers rather than handling the entire supply and logistics chain themselves. The authors highlight the role of consumer understanding and Big Data as one example of how multi-sided digital platforms differentiate from their non-platform competitors.

The paper highlights how incumbent retailers can compete against new forms of business, such as digital platforms, and the authors demonstrate some of the managerial capabilities needed to remain relevant amidst this new digital competition.

Very little empirical studies in marketing and retail literature have focused on multi-sided digital platforms and their business models. The present study fills this gap with an overview of how multi-sided digital platforms transform the retail sector.

Introduction: Artificial intelligence (AI) and digitisation offer substantial human potential and profit margins, making them promising retail solutions. Retail leaders have successfully integrated comprehensive uses into their daily operations, while competitors heavily invest in new projects. The Indian retail sector is undergoing a significant transformation, which can be attributed to factors such as growing income, demographic characteristics, and enhanced consumerism, as well as the rapid development of new technologies such as digitisation and AI, which is changing both consumers’ and retailers’ buying behaviour.

Purpose: This study aims to determine the influence of AI on elements that drive digitisation in the retailing sector, as well as the factors that lead to organised retailers adopting digitisation and its impact on their business.

Methodology: The study employs a standardised questionnaire distributed to organised stores via an online link, and the data are analysed with SmartPLS software 3.0.

Finding: The retail sector is driven by elements that promote digitalisation in food and groceries retailing, such as simplicity of operation, adoption of digital payment, quicker internet connection, retailer consumer interface, and the involvement of AI.

Research implication: AI has significant consequences for retailing, which serves as the interface between marketers and customers.

Theoretical implication: The study’s findings reflect the perspectives of retailers, store managers, and entrepreneurs on how digitalisation and AI are crucial for the creation and growth of long-term competitive advantages in retail.

• Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

• Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

• Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

• Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

• Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

Omnichannel retailing emphasises the interplay between channels to provide seamless customer experiences across shopping journeys but is challenging for retailers to implement. This research explores the necessary actions and dynamic capabilities needed of retailers to create, extend and modify the organisational resource base required for realising omnichannel retailing.

A qualitative exploratory design with in-depth interviews of Generation Z customers and retail firms was used to provide insights into the dynamic capabilities necessary for obtaining omnichannel retailing.

This research elaborates on the dynamic capabilities needed for omnichannel solutions related to (1) the underlying technology (i.e. develop an Enterprise Resource Planning (ERP) system and online store), (2) customer experience optimisation (i.e. develop product delivery, return routines, supply chain management, curated exhibitions, showrooms and pop-up stores), (3) internal and external collaboration (i.e. collaborate across business units, strengthening the core leadership team and collaborate and align with service ecosystem partners and (4) overall omnichannel functionality (i.e. establish a customer-oriented retail culture, and integrate marketing communication and customisation through data exploration).

This research enriches the retailing literature on omnichannel solutions and responds to the need for theoretical anchoring by applying the dynamic capability perspective to address actions useful for realising omnichannel retailing.

The purpose of this paper is to provide an alternative framework that will assist in understanding the adoption of digital food shopping. The coronavirus disease 2019 (COVID-19) pandemic has exacerbated the demand for digital shopping, but the adoption of digital shopping for food has not accelerated as fast as in other product categories. This study considered the role of socio-cultural factors to understand the reason for slow adoption of digital technology to access food. A cultural framework that can be used to investigate socio-cultural factors in this context was lacking, however, this paper provides a discussion of social and cultural factors and developed measurement scales to assist in understanding cultural change acceptance in consumers' adoption of digital technology to purchase food.

Using Hayes' process analysis, this paper investigated how cultural acceptance – mediated by consumer affection and appeal and measuring the moderated effects of digital trust (DT) – determined the eventual impact on consumer intention to adopt digital food retailing. This paper also considered moderated mediation with parallel mediations (consumer affection and appeal, digital convenience (DC) and consumer digital readiness) interacting with DT and consumer learning.

The authors found that cultural acceptance of digital technology (CADT) is an antecedent to the adoption of digital shopping for food, but this is also mediated by consumers' appeal and affection for digital technology and consumers' digital readiness.

This study also indicates that DT influences consumer appeal and affection (CAA), especially amongst female consumers.

The paper represents an empirical investigation of a new conceptual framework that considers socio-cultural factors to understand consumers' use of digital technology in food shopping which has been an existing knowledge gap in current literature.

To cope with online competitors and new consumer behaviors, retailers need to hybrid digital and physical offerings to implement an omni-channel business model. This constitutes a digital transformation of the traditional business model. However, business cases on how traditional retailers are shifting from multi-channel to omni-channel retailing are lacking. This paper aims to explore the different issues and organizational paths during the transformation of a business model.

This study is based on a qualitative multiple case study of five retailers with a global reach currently implementing an omni-channel business model.

This research sheds light on three main issues encountered by retailers and the different underlying decisions when moving toward an omni-channel business model. The first relates to revenue attribution across channels, which involves rethinking traditional key performance indicators to give incentives to stores when promoting digital offers. The second issue concerns the supply chain decisions associated with cross-channel operations. The third issue relates to the delicate balance between global reach (digital channel) and local reach (specific store) for communication on social media and marketing decisions on pricing. This study provides empirical evidence about the variety of choices that retailers make to cope with the issues during the implementation of an omni-channel business model.

This work explores the issues faced by established firms when moving toward a new business model that is the hybridization of two existing business model managed separately. It provides comprehensive and clear illustration of how to manage such a business model transformation process that can be used by both business strategy practice and academic research.

1. Innovative technologies, such as DS, can engage different human senses and play an important role in enhancing the store atmosphere.

2. The majority of DS networks feature content that is generic and is rarely tailored to the audience passing by the screens. As a result, digital displays are often ignored.

3. DS coupled with sensors and Artificial Intelligence allow for more relevant and personalized experiences.

4. Relevance through personalization can help retailers overcome display blindness, but challenges in terms of legal restrictions and ethical concerns exist to unlock its potential.

5. Nontouch interaction technologies, such as voice assistants, gesture controls, facial recognition, and augmented reality, present new ways of interacting with digital screens.

Innovative technologies, such as DS, can engage different human senses and play an important role in enhancing the store atmosphere.

The majority of DS networks feature content that is generic and is rarely tailored to the audience passing by the screens. As a result, digital displays are often ignored.

DS coupled with sensors and Artificial Intelligence allow for more relevant and personalized experiences.

Relevance through personalization can help retailers overcome display blindness, but challenges in terms of legal restrictions and ethical concerns exist to unlock its potential.

Nontouch interaction technologies, such as voice assistants, gesture controls, facial recognition, and augmented reality, present new ways of interacting with digital screens.

In retail, product fitting is a critical operational practice. For many products, the operational outcome of the retail supply chain is determined by the customer physically fitting products. Digital product fitting is an emerging operational practice in retail that uses digital models of products and customers to match product supply to customer requirements. This paper aims to explore potential supply chain outcomes of digitalizing the operational practice of product fitting. The purpose is to explore and propose the potential of the practice to improve responsiveness to customer requirements and the utilization of existing variety in mass-produced products.

A maturity model of product fitting is developed to specify three levels of digitalization and potential outcomes for each level. Potential outcomes are developed based on empirical data from a case survey of three technology-developing companies, 13 retail cases and a review of academic literature.

With increasing maturity of digital product fitting, the practice can be used for more purposes. Besides matching product supply to customer demand, the practice can improve material flows, customer relationship management, assortment planning and product development. The practice of digital product fitting is most relevant for products where the final product configuration is difficult to make to order, product and customer attributes are easily measurable and tacit knowledge of customers and products can be formalized using digital modeling.

Potential outcomes are conceptualized and proposed. Further research is needed to observe actual outcomes and understand the mechanisms for both proposed and surprising outcomes in specific contexts.

The maturity model helps companies assess how their operations can benefit from digital product fitting and the efforts required to achieve beneficial outcomes.

This paper is a first attempt to describe the potential outcomes of introducing digital product fitting in retail supply chains.