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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.

The growing complexity of consumer engagement (CE) due to the impact of Internet of things (IoT) has been attracting significant attention from both academics and industry practitioners especially in recent times. Hence, understanding this phenomenon remains very crucial to the body of knowledge. This study conducted a systematic review on IoT and CE with the aim of proposing future research opportunities using the TCCM model.

Extant literature studies were systematically examined by sourcing high ranking ABS journals from EBSCO, ScienceDirect and Emerald. A total of 58 articles were included in the final analysis of this research.

The analysis established the need to conduct more research on CE due to the impact of new technological implementation in retail. The results further suggest the need for extensive research across African countries and emerging markets to enable broader empirical generalizations of research outcomes. Using the TCCM framework, the authors indicated directions for future empirical research.

This study exposes the current trends in CE and IoT. The results and analysis are both compelling and verifiable, hence, establishing a firm base of reference for future research in related fields.

This paper proposes a model that extends the technology acceptance model (TAM) by identifying factors that influence consumers' acceptance of augmented reality (AR) self-service technologies (AR-based SSTs) in the retail sector, resulting in the Augmented Reality in Retail Model (ARiR Model).

This study is based on an online questionnaire responded to by 284 makeup-using women from Nicaragua and the USA. It is based on an AR mobile app used to shop in retail stores. Partial least squares-structural equation modelling was used to validate the ARiR model and test the hypotheses.

Aesthetics and navigation are significant predictors of perceived usefulness and perceived ease of use (PEOU), and self-efficacy also explains perceived ease of use. Technology readiness and the need for personal interaction were not found to be influencing factors. A cross-cultural comparison indicated that both countries have similar overall attitudes towards AR-based SSTs.

This paper provides insights into the perceived value of, and motives for customer acceptance of, AR-based SSTs, which can serve as guidelines for their future implementation. Furthermore, it validates and confirms the application of the proposed ARiR model for technology acceptance in both developed and developing countries.

The paper provides new insights for retailers on the implementation of AR at the point of sale.

The model extends the original TAM to AR and introduces five new constructs: need for personal interaction, aesthetics, navigation, self-efficacy and technology readiness. It was tested in both a developing and a developed country.

The development of new technologies directly contributed to the emergence of advanced instruments, which in turn enabled the rise of new solutions associated with Industry 4.0 (I4.0). These technologies associated with I4.0 are adapted and used by individual users in diverse ways. Many determinants influence this diversity. One of the significant elements impacting such behaviour is age.

The main objective of this chapter is twofold. Firstly, it is to evaluate the differences among the four generational cohorts in how they use I4.0 tools, and secondly, to develop a conceptual framework of interdependencies between diverse I4.0 tools, their use – along with preferences and attitudes – and the generations as a moderate variable that influences the tools' use. In this chapter, we employ an inductive approach and apply the literature studies according to the SALSA method. This research contributes to the existing literature by framing the interdependencies between individuals' attitudes, their use of I4.0 tools and their age.

Long sales periods (i.e. Christmas time, Black Friday, etc.) and the risk of contagion while shopping (i.e. during pandemics like COVID-19) showed the extent to which crowded shopping environments have negative effects on consumers’ behavior. Hence, using terror management theory (TMT) and stimulus–organism–response (S–O–R) approach, the authors aims to develop a new model to investigate the effect of crowd-checking technology on shopping anxiety, the perceived value of shopping experience and willingness to pay.

Using a cross-sectional research design and with a help of an independent research company, the authors collected 1,000 valid responses from individuals residing in the UK.

Results showed that crowd-checking technology cues reduce shopping anxiety, improve value perceptions and increase willingness to pay. In addition, the efficacy of technology in reducing shopping anxiety is moderated by customers’ shopping orientation.

To the best of the authors’ knowledge, this research is the first one investigating crowd monitoring systems used at the initial stage of consumers’ journey to show the number of consumers in-store in real-time. It contributes to the literature on technology applications in retailing by providing evidence that technology cues reduce shopping anxiety, which in turn enhances customer-perceived value from the shopping experience and increases the willingness to pay in stores with embedded crowd-checker technology. The study also extends the application of TMT in a new context.

Los largos periodos de rebajas (ej. Navidades, Black Friday, etc.) y el riesgo de contagio durante las compras (ej. durante pandemias como la COVID-19) mostraron hasta qué punto los entornos de compras abarrotados tienen efectos negativos en el comportamiento de los consumidores. Utilizando la Teoría de la Gestión del Terror (TMT) y el enfoque Estímulo-Organismo-Respuesta (S-O-R), desarrollamos un nuevo modelo para investigar el efecto de la tecnología de control de multitudes sobre la ansiedad en las compras, el valor percibido de la experiencia de compra y la disposición a pagar.

Utilizando un diseño de investigación transversal y con la ayuda de una empresa de investigación independiente, recogimos 1.000 respuestas válidas de personas residentes en el Reino Unido.

Los resultados mostraron que las señales de la tecnología de comprobación de multitudes reducen la ansiedad en las compras, mejoran la percepción del valor y aumentan la disposición a pagar. Además, la eficacia de la tecnología en la reducción de la ansiedad de compra está moderada por la orientación de compra de los clientes.

Esta investigación es la primera que estudia los sistemas de seguimiento de multitudes utilizados en la fase inicial del viaje de los consumidores para mostrar el número de consumidores en la tienda en tiempo real. Contribuye a la literatura sobre aplicaciones tecnológicas en el comercio minorista aportando pruebas de que las señales tecnológicas reducen la ansiedad de compra, lo que a su vez mejora el valor percibido por el cliente de la experiencia de compra y aumenta la disposición a pagar en tiendas con tecnología de control de multitudes integrada. El estudio también amplía la aplicación de la Teoría de la Gestión del Terror en un nuevo contexto.

漫长的销售期（即圣诞节时间、黑色星期五等）和购物时的传染风险（即在COVID-19等大流行病期间）显示了拥挤的购物环境对消费者行为的负面影响程度。 因此, 利用恐怖管理理论（TMT）和刺激-组织-反应（S-O-R）方法, 我们建立了一个新的模型来研究人群检查技术对购物焦虑、购物体验的感知价值和支付意愿的影响。

在一家独立研究公司的帮助下, 我们采用横断面研究设计, 从居住在英国的个人中收集了1000份有效的答复。

结果显示, 人群检查技术提示减少了购物焦虑, 改善了价值认知, 并提高了支付意愿。此外, 技术在减少购物焦虑方面的功效受到顾客购物取向的调节。

这项研究是第一个调查在消费者旅程的初始阶段使用的人群监测系统, 以实时显示店内消费者的数量。它为零售业技术应用的文献做出了贡献, 提供了技术线索减少购物焦虑的证据, 这反过来又提高了顾客从购物体验中感知到的价值, 并增加了在有嵌入式人群检查器技术的商店中的支付意愿。该研究还扩展了恐怖管理理论在新环境中的应用。

In an increasingly technology-driven retail landscape, retailers face the challenge of making the most effective decisions regarding the selection and use of innovative technology. Although previous research provides insights into the added value of technology, it does not directly guide retailers in overviewing and selecting technology that supports their sales operations. This chapter contributes to the field of retail technology studies by introducing a sales-oriented model intended to assist retailers in inventorying available technologies and making decisions regarding the selection and use of these technologies for their physical stores. The model uses an updated version of the seven steps of selling as a foundation and, in line with the resource life cycle, decision support system and self-service technology literature streams, proposes applying technology in such a way that it supports the stages of the retailer's sales process. This chapter concludes with a discussion of practical guidelines for applying the model.

Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes.

This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues.

Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure.

This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.

This paper analyzes the direct and indirect effects of the autonomy of smart home speakers on consumer experience, weighing its benefits and costs in the following areas: usefulness, interactivity, coolness, service failure severity and intrusiveness. Experience value is examined as an antecedent of repurchase intention.

Structural equation modeling is applied to data collected from 607 users of smart home speakers. Mediating effects are examined between autonomy and experience value.

Autonomy has no direct effect on experience value, since the positive effect is fully mediated by interactivity, intrusiveness, perceived usefulness and coolness. Failure severity has no mediating effect and has no influence on experience value. Usefulness, coolness and interactivity show positive mediating effects between autonomy and experience value, while intrusiveness has a negative mediating effect. The better the consumer's experience response, the greater the repurchase intention.

Companies should highlight the benefits (interactivity, usefulness and coolness) and attempt to reduce the costs (intrusiveness) associated with smart device autonomy. Firms can use these aspects to increase the rate of smart-device adoption.

This research contributes to the interactive research literature by empirically examining the mediating effect of interactivity and coolness. Additionally, this research offers evidence of the full mediation effect of usefulness, interactivity, coolness and intrusiveness. Finally, this research shows that failure severity is not always important and that it can be context specific.

This study explores the causes and effects of technology usefulness on shopping behavior of consumers in Mexico by measuring inter-relationships between the constructs of shopping with new-normal following coronavirus disease 2019 (COVID-19) business shutdown and online retail technology.

This study has been conducted in six online retail stores with the online survey of 342 buyers in Mexico. Data have been analyzed using two regression models with dependent variables, perceived usefulness of technology and buying decision of customers. Multiple correlations across the variables were computed.

Results of this study reveal that as customers found higher ease of use of online shopping, they perceived higher usefulness of online retailing technology. The perceived quality of retailing website positively influences impulsive buying behavior of customers. The study observed that increase in coupon promotions has positively enhanced the perceived buying impulsiveness of consumers in online stores. The perceived usefulness of online redemption of coupons has also positively benefited the attitude of customers toward buying.

Online shopping has attracted a large section of customers during the COVID-19 business shutdown, and peer interactions have motivated them to experience the retailing technology of virtual stores. This study offers important insights for managers working in the retailing industries. Online strategies of retailers with unified customer experiences during the pandemic and business shutdown has provided extensive online retail space.

Managers of virtual retail stores need to build their business on customer-centric propositions, encourage 3D visions of products, develop “do-it-yourself” kiosks with augmented reality technology and enhance the value-based online business model. Online retailers need to prioritize developing an easy to navigate and quality website with comprehensive product information and instant messaging facilities over the sales promotion strategies. Online retailers need to establish quick response (QR) technology to improve the ease of use for navigation.

This study finds out the perceived usefulness in using online retail technology, and how customers have experienced it as a single wide option during the COVID-19 pandemic.

This paper aims to explore factors affecting young consumers’ purchasing of new smart products under the influence of social media.

Twenty semi-structured, face-to-face, in-depth interviews were conducted with young consumers who used new media, and five extended interviews were conducted with popular smartwatch retailers in Macau.

The findings reveal that they tend to garner product information from multiple channels of communication. Social media exert the greatest influence. Reliable information, strong branding and interactions with vendors are also influential, although new product pre-announcements may be boring and difficult to understand.

This study presents new insights into diffusion of innovation theory and provides retailers launching smart products with a better understanding of their target young customers’ purchasing behavior.