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Digital retailing is omnipresent, such that shoppers increasingly interact with digital devices in physical stores. In service interactions involving the use of digital devices, shoppers attain novel forms of support, but they still need a means to achieve a sense of autonomy. To address this challenge, the current article reports on a qualitative analysis that reveals three main dimensions of phygital autonomy (visual, verbal, and kinetic) that relate to fundamental human senses and may enhance or undermine shoppers' perceived autonomy, due to their extension or restriction. By reviewing the concept of autonomy across distinct retail settings, this study also provides theoretical and practical insights for how to reconcile shoppers' autonomy dilemma, across their desires for freedom of action, freedom of choice, and human support. [ABSTRACT FROM AUTHOR]

Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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. [ABSTRACT FROM AUTHOR]

Abstract Smart technology has become an increasingly prominent feature in the fashion apparel industry. However, small retailers still face challenges while trying to adopt such innovative smart technologies to increase consumer interaction and sales. By applying the Technology, Organization, and Environment (TOE) framework, the aim of this study is to understand small independent fashion retail owners’ and employees’ thoughts on innovative retail technologies and their reactions to the currently available new technology. A qualitative research method of in-depth interviews with 11 participants working in fashion companies was used. The themes that emerged in this study represent criteria to be met prior to adopting new technology for small fashion retailers, including transparency, consistency, and integration of technology. While there were concerns regarding the cost and timing of adopting smart technology, they all expressed unanimous agreement that these advancements would become the next major trend in fashion retail, enhancing consumer connectivity. In particular, the smart technology they plan to adopt must possess the capability for reciprocity between consumers and the company. This will motivate a resurgence of innovative technologies in the less advanced fragment of small independent fashion retailers. Future research can focus on analyzing how the implementation of new smart technologies affects these types of businesses and their customer satisfaction.

Smart technology has become an increasingly prominent feature in the fashion apparel industry. However, small retailers still face challenges while trying to adopt such innovative smart technologies to increase consumer interaction and sales. By applying the Technology, Organization, and Environment (TOE) framework, the aim of this study is to understand small independent fashion retail owners' and employees' thoughts on innovative retail technologies and their reactions to the currently available new technology. A qualitative research method of in-depth interviews with 11 participants working in fashion companies was used. The themes that emerged in this study represent criteria to be met prior to adopting new technology for small fashion retailers, including transparency, consistency, and integration of technology. While there were concerns regarding the cost and timing of adopting smart technology, they all expressed unanimous agreement that these advancements would become the next major trend in fashion retail, enhancing consumer connectivity. In particular, the smart technology they plan to adopt must possess the capability for reciprocity between consumers and the company. This will motivate a resurgence of innovative technologies in the less advanced fragment of small independent fashion retailers. Future research can focus on analyzing how the implementation of new smart technologies affects these types of businesses and their customer satisfaction. [ABSTRACT FROM AUTHOR]

Conventional billing systems used in the supermarket nowadays are a big hassle for the customers as it creates a long waiting time for payment of the products purchased. In the evolving landscape of retail, the integration of technology has become pivotal to elevate the shopping experience. This abstract introduces a "Smart Shopping Cart System," a technologically advanced solution designed to redefine traditional retail interactions. The system employs a combination of RFID (Radio Frequency Identification) technology, user authentication mechanisms, and real-time data analytics to create an intelligent and seamless shopping experience. The primary objective of the Smart Shopping Cart System is to streamline the checkout process and customer engagement. Through automated product identification using RFID tags, customers can effortlessly add items to their cart, eliminating the need for manual scanning. Real time data analytics play a crucial role in providing actionable insights for both retailers and customers. The system continuously updates inventory levels, allowing retailers to optimize stock, reduce instances of out-of-stock items, and implement dynamic pricing strategies. For customers, the system offers personalized recommendations based on their purchase history and preferences. The Smart Shopping Cart System, which is designed using Node MCU, and LCD to display the total price of the items in the cart. To make it more feasible the bill is also made available on the web server, which makes it easy for the customer to check the list of items added and so they can manage the purchase. The Smart Shopping Cart System goes beyond transactional efficiency, incorporating features like navigation assistance within the store. Utilizing advanced algorithms, the system guides customers to locate products, creating a more convenient and enjoyable shopping experience. [ABSTRACT FROM AUTHOR]

In addressing the nuanced interplay between consumer attitudes and Artificial Intelligence (AI) use readiness in physical retail stores, the main objective of this study is to test the impacts of prior experience, as well as perceived risks with AI technologies, self-assessment of consumers' ability to manage AI technologies, and the moderator role of gender in this relationship. Using a quantitative cross-sectional survey, data from 243 consumers familiar with AI technologies were analyzed using structural equation modeling (SEM) methods to explore these dynamics in the context of physical retail stores. Additionally, the moderating impacts were tested after the invariance analysis across both gender groups. Key findings indicate that positive prior experience with AI technologies positively influences AI use readiness in physical retail stores, while perceived risks with AI technologies serve as a deterrent. Gender differences significantly moderate these effects, with perceived risks with AI technologies more negatively impacting women's AI use readiness and self-assessment of the ability to manage AI technologies showing a stronger positive impact on men's AI use readiness. The study concludes that retailers must consider these gender-specific perceptions and attitudes toward AI to develop more effective strategies for technology integration. Our research also highlights the need to address gender-specific barriers and biases when adopting AI technology. [ABSTRACT FROM AUTHOR]

Retail technology adoption is essential for improving operational efficiency, enhancing customer engagement, and supporting sustainable growth in a highly competitive environment. Despite the growing importance of digital transformation in retail, significant research gaps remain in understanding collaborative innovation networks within this sector. This study addresses these gaps by utilizing Social Network Analysis (SNA) to examine patent registrations in retail technology, analyzing a dataset of 36,411 patents from 1995 to 2024. The methodology includes network construction, community detection, and keyword analysis, mapping out 8,225 entities and 14,805 collaborations. Results reveal IBM, Target Brands, and Procter & Gamble as pivotal entities with high network centrality, highlighting their influence across key technological domains like AI, digital commerce, and retail security. The research categorizes technologies into 15 domains—such as Core Retail Operations, Digital Commerce, and Retail Communication—exposing seven major clusters where innovation efforts are concentrated. These findings offer practical insights for corporations, SMEs, startups, and policymakers aiming to navigate technological change and optimize strategic investments in retail. By detailing the relationships between leading entities and emerging technology clusters, this study provides a comprehensive view of the retail innovation landscape, aiding stakeholders in decision-making around technology adoption, collaborative opportunities, and competitive positioning in an increasingly digital retail ecosystem.

Traditional retailers must immediately embrace and adapt technology to survive in the competitive retail industry as retail technology rapidly changes consumers’ buying habits and expectations. This study may be the first to apply the Technology-to-Performance Chain (TPC) to traditional retailers' technological adaptation in an emerging market. A developing country's traditional retailers were studied qualitatively. Most of traditional retail's ongoing technologies are the result of adaptation by combining existing technologies to local conditions or technology adoption improvements. Technology adaptation includes using PoS system software with a printer and barcode scanner to substitute modern retail cash registers, a combination of mobile apps and PoS system software to mimic mPoS, and adapted EDC for digital product transactions. This technology adaptation is meant to manage business processes and manage the business growth of traditional retail that has limited resources and unique additional services. Therefore, available technology should be adapted to ensure low complexity, compatibility, and reliance on technologies that are familiar to people in developing countries. Furthermore, the task-technology fit (TTF) component requires the support of traditional retailers’ awareness, effective partnerships with technology providers, and perceived technical competence to increase the utilization of adapted technology and achieve the expected performance which includes inventory data clarity, increased retail revenue, and time savings.

Anecdotal evidence is mixed regarding whether handheld scanners used in stores increase or decrease consumer sales. This article reports on three field studies, supported by eye-tracking technology and matched sales receipts, as well as two laboratory studies that show that handheld scanner use increases sales, notably through unplanned, healthier, and impulsive purchases. The findings highlight that these effects may be limited by factors such as not having a budget; for those without a budget, use of scanners can decrease sales. Building on embodied cognition and cognitive appraisal theories, the authors predict that scanners, as a bodily extension, influence sales through both cognitive (shelf attention, perceived control) and affective (number of products touched, shopping experience) mechanisms. The results offer implications for retailers considering whether to integrate scanners into their store environments. [ABSTRACT FROM AUTHOR]

‘Bricks-and-mortar’ retailers are increasingly looking to retail analytics as a way of staying competitive with online counterparts. Retail analytics is a subset of big data analytics, and proponents contend that its use can provide a greater understanding of customer behaviours and patterns. To achieve this, retail analytics requires ‘smart-stores’ to collect and store as much data as possible about in-store customers, and to build detailed consumer profiles that can be used to sell products on an increasingly individualised basis. At the same time, enhanced efficiencies are gained by a better matching of staff resources and design of store layout that directly correspond to customer behaviours. The range of data collection and analysis technologies used in retail analytics is evolving and currently includes facial recognition software and video analytics, specially designed sensors, Bluetooth beacons, Wi-Fi data collections and point-of-sale systems, including loyalty cards. When these collection technologies are combined, a smart-store can, thus, resemble a sophisticated consumer surveillance system entailing numerous collectors and re-users of consumer-generated data. This article argues there is a disproportionate impact on privacy when compared to the benefits for retailers. It outlines the developing sphere of retail analytics and its manifestation through smart-stores. It considers some of the key privacy issues that emerge through retail analytics and the consequent surveillance and ‘datafication’ of everyday life. This includes the issue of whether collected data is personal information, the degree to which individuals can understand the multifaceted data collection processes of smart-stores, and the importance and weight to be attributed to privacy in any decision-making by stores in the uptake of various technologies.

The purpose of this study is to examine consumers' intentions to use retail technologies and to identify factors that affect their decision by extending the Technology Acceptance Model. This study employs Regression and Partial Least Squares Structural Equation Modeling to test the same construct in the proposed model, and the results were compared to find out similarities and differences. The result shows that depending on the consumers' shopping orientation profile, they evaluated a technology differently. Also, depending on the types of technology, the factors that significantly affect consumers' intentions to use are different. For an unfamiliar technology, consumers need to evaluate before confirming their intention to use (i.e. the mediating effect of evaluation between consumer's profile and intention to use). Not all technologies require high usefulness for high intention to use, contrary to previous research. The PLS-SEM analysis was more appropriate than the regression for a newly developed model. [ABSTRACT FROM AUTHOR]

In this paper, we propose to use commercial off-the-shelf (COTS) monostatic RFID devices (i.e. which use a single antenna at a time for both transmitting and receiving RFID signals to and from the tags) to monitor browsing activity of customers in front of display items in places such as retail stores. To this end, we propose TagSee, a multi-person imaging system based on monostatic RFID imaging. TagSee is based on the insight that when customers are browsing the items on a shelf, they stand between the tags deployed along the boundaries of the shelf and the reader, which changes the multi-paths that the RFID signals travel along, and both the RSS and phase values of the RFID signals that the reader receives change. Based on these variations observed by the reader, TagSee constructs a coarse grained image of the customers. Afterwards, TagSee identifies the items that are being browsed by the customers by analyzing the constructed images. The key novelty of this paper is on achieving browsing behavior monitoring of multiple customers in front of display items by constructing coarse grained images via robust, analytical model-driven deep learning based, RFID imaging. To achieve this, we first mathematically formulate the problem of imaging humans using monostatic RFID devices and derive an approximate analytical imaging model that correlates the variations caused by human obstructions in the RFID signals. Based on this model, we then develop a deep learning framework to robustly image customers with high accuracy. We implement TagSee scheme using a Impinj Speedway R420 reader and SMARTRAC DogBone RFID tags. TagSee can achieve a TPR of more than ${\sim }90\%$ ∼ 90 % and a FPR of less than ${\sim }10\%$ ∼ 10 % in multi-person scenarios using training data from just 3-4 users. [ABSTRACT FROM AUTHOR]

Purpose – 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. Design/methodology/approach – 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. Research limitations/implications – Future field experiments in actual stores should attempt to corroborate the results of this study and offer greater internal validity. Practical implications – 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. Originality/value – This paper is an original research paper, given that few research papers are experimentally based to measure consumer’s reactions to new technology implementation.

Abstract This study sheds light on a prominent issue in retailing: how the digital atmosphere can affect the consumer decision-making process in a fashion retail store. Digital devices and services such as digital screens and digital signage are widely employed in fashion retail stores, transforming the way consumers make decisions about purchasing fashion products. This research investigates how the digital atmosphere affects consumers’ purchase behavior patterns based on the attention-interest-desire-search-action-share (AIDSAS) model. The findings show that attention is a key antecedent to interest, desire, and behavioral responses (search, action, and share) triggered by the digital atmosphere. The findings further suggest that attention has significantly positive effects on consumers’ purchasing patterns of utilizing the digital atmosphere in two types of fashion retail stores: sports and luxury stores. However, we find that these positive effects are more pronounced for sports retail stores than luxury retail stores. This research contributes to understanding consumer behavior related to the digital atmosphere of fashion retail stores by applying the AIDSAS model and helps uncover the stepwise relationships between attention to the store atmosphere-interest/desire and the products-behavior response. These findings have practical implications that can be applied in the fashion industry.

Digitalization has been shaping economy and society, one of the areas most affected being the retail sector. Especially in the context of smart shelf technologies a variety of companies and solutions – mainly for grocery and drugstore retail – has evolved. However, there is no overview of which technologies are used and for which specific application scenarios they can be applied. In the course of expert-interviews with solution providers, we have analysed the status-quo of different smart shelf solutions, their respective application scenarios, the technologies behind them, the associated benefits and costs as well as planned further developments. Our results show that existing solutions cover a variety of application scenarios, ranging from out-of-shelf detection and checking planogram compliance to optimizing inventory or logistical processes. Our analysis identified two main technology groups: image recognition systems and sensor-based systems. Solution providers stated that generating a positive ROI takes between one and one and a half years. All providers are working on further developments, many are moving in the direction of sensor fusion. The results of our study help retailers to compare existing solutions and enables them to examine various deployment scenarios. [ABSTRACT FROM AUTHOR]

Many firms, including Amazon and IKEA, utilise augmented reality (AR) technology to enhance the consumer experience. In the retail industry, AR is gaining increasing traction as a means of improving the customer experience overall. In this research, we conduct an exploratory analysis to determine whether AR contributes positively or otherwise to customer experience. By means of semi-structured interviews, we identify seven core themes pertinent to the customer journey. Findings suggest that, prior to purchase, AR can broaden consumers' product consideration set, while narrowing the choice set. Moreover, we find evidence that AR can lessen brand value, thereby giving emerging brands the opportunity to connect with consumers. Findings indicate that, at the point of purchase, AR can help with product curation and drive hedonic value through playfulness. Finally, at the post-purchase stage, findings show that AR can influence consumer choice confidence, and can also amplify cognitive dissonance. From these themes, we draw implications for theory as well as managerial implications in terms of balancing the potential promises and perils of AR as an innovation technology. [ABSTRACT FROM AUTHOR]

We draw insights from Activity Theory within the field of human-computer interaction to quantitatively measure a mobile in-store experience (MIX), which includes the suite of shopping activities and retail services that a consumer can engage in when using their mobile device in brick-and-mortar stores. We developed and validated a nine-item, formative MIX index using survey data collected from fashion consumers in the United States (n = 1,267), United Kingdom (n = 370), Germany (n = 362), and France (n = 219). As survey measures of consumer engagement in omnichannel retailing using a mobile device, the index items with stronger factor loadings described in-store shopping activities whereas those with weaker factor loadings described activities related to behavioral targeting and social networking. These results suggest that retailers should give consumers the autonomy to independently find, evaluate and purchase merchandise in brick-and-mortar stores, thereby enabling them to co-create personalized shopping experiences as active participants within an omnichannel retail servicescape. Our findings also suggest that retailers should provide consumers with more authentic ways to build community and brand affiliations than mobile marketing and social media promotions. In-store activities should not simply be a migration of pre-existing e-commerce capabilities onto mobile devices. An engaging mobile in-store experience should be an amalgam of physical and digital activities that produce a seamless shopping journey and leverage the unique properties of mobile devices – ultra-portability, location sensitivity, untetheredness, and personalization. Retail executives can use the validated MIX index to prepare strategic investments in mobile technology applications and capabilities for retail stores within their omnichannel operations. The nine-item MIX index is also well-suited for consumer surveys, which also makes it an attractive measure of consumer engagement in omnichannel retailing for future academic research.

We draw insights from Activity Theory within the field of human-computer interaction to quantitatively measure a mobile in-store experience (MIX), which includes the suite of shopping activities and retail services that a consumer can engage in when using their mobile device in brick-and-mortar stores. We developed and validated a nine-item, formative MIX index using survey data collected from fashion consumers in the United States (n = 1,267), United Kingdom (n = 370), Germany (n = 362), and France (n = 219). As survey measures of consumer engagement in omnichannel retailing using a mobile device, the index items with stronger factor loadings described in-store shopping activities whereas those with weaker factor loadings described activities related to behavioral targeting and social networking. These results suggest that retailers should give consumers the autonomy to independently find, evaluate and purchase merchandise in brick-and-mortar stores, thereby enabling them to co-create personalized shopping experiences as active participants within an omnichannel retail servicescape. Our findings also suggest that retailers should provide consumers with more authentic ways to build community and brand affiliations than mobile marketing and social media promotions. In-store activities should not simply be a migration of pre-existing e-commerce capabilities onto mobile devices. An engaging mobile in-store experience should be an amalgam of physical and digital activities that produce a seamless shopping journey and leverage the unique properties of mobile devices – ultra-portability, location sensitivity, untetheredness, and personalization. Retail executives can use the validated MIX index to prepare strategic investments in mobile technology applications and capabilities for retail stores within their omnichannel operations. The nine-item MIX index is also well-suited for consumer surveys, which also makes it an attractive measure of consumer engagement in omnichannel retailing for future academic research. [ABSTRACT FROM AUTHOR]

Purpose – This exploratory study challenges the fashion retailer/wholesale brand debate considering established definitions, structures and propositions of these brand typologies, developing new perspectives with particular emphasis on the blurring of the product range, retail fascia concepts and supply chain management. The paper argues that the fashion industry has evolved significantly since the theoretical definitions were established in the early 2000s. The paper presents the results of a series of in-depth interviews conducted with key informants from large-scale fashion retailers, manufacturers, textile researchers and funding organisations in the UK. The paper highlights the blurring of retail and wholesale brands occurring to gain direct access to the market or enter new markets and subsequently, from a manufacturing perspective, attain competitive advantage and operate vertical integration to satisfy customer demand. [ABSTRACT FROM AUTHOR]

Novel technologies and application scenarios for store-based retailing are available in a large variety. The retailers' strategic focus and willingness to invest in these innovations is unclear to a certain point. This research paper aims to identify and evaluate technologies and application scenarios for brick-and-mortar retailing from Austrian retailing businesses' perspective. Beside a literature review to get an overview of retail technologies and their fields of application, semi-structured interviews were conducted in order to ascertain the status quo and to survey the relevance of technology use in store based retailing, as well as to assess its potential in the future. Qualitative data analysis has been processed, followed by an expert workshop with interdisciplinary retail technology and retailing experts to objectively validate the primary research findings. [ABSTRACT FROM AUTHOR]

The purpose of this study is to identify different types of technology-based retail services (TBRS) for brick and mortar environments and analyze them by developing a framework that can be used to classify TBRS in respect of their dimensions, categories and category elements. The research design is twofold. First, this study conducts a systematic literature review to identify a relevant body of various TBRS in scientific literature. Second, it uses grounded theory as a method to analyze the identified TBRS from part one, in order to expose TBRS classification dimensions for developing a classification framework. This study identified 35 TBRS from 124 peer-reviewed articles, published worldwide between 2003 and 2019. It shows that TBRS can be classified along four dimensions: (1) participant issues, (2) technology issues, (3) information issues, and (4) intended purposes. The findings indicate that the majority of TBRS has technology-generated customer contact and is a fixed in-store totem with a low task complexity. Most TBRS enhance customer experience or improve store management. This study addresses a significant and on-going change in retailing. It provides insights into the TBRS market and offers an analytical classification framework to take TBRS to pieces, showing their elements and purposes. The framework can both guide future research and aid retail practitioners in analyzing TBRS. [ABSTRACT FROM AUTHOR]

Traditional retailers must immediately embrace and adapt technology to survive in the competitive retail industry as retail technology rapidly changes consumers' buying habits and expectations. This study may be the first to apply the Technology-to-Performance Chain (TPC) to traditional retailers' technological adaptation in an emerging market. A developing country's traditional retailers were studied qualitatively. Most of traditional retail's ongoing technologies are the result of adaptation by combining existing technologies to local conditions or technology adoption improvements. Technology adaptation includes using PoS system software with a printer and barcode scanner to substitute modern retail cash registers, a combination of mobile apps and PoS system software to mimic mPoS, and adapted EDC for digital product transactions. This technology adaptation is meant to manage business processes and manage the business growth of traditional retail that has limited resources and unique additional services. Therefore, available technology should be adapted to ensure low complexity, compatibility, and reliance on technologies that are familiar to people in developing countries. Furthermore, the task-technology fit (TTF) component requires the support of traditional retailers' awareness, effective partnerships with technology providers, and perceived technical competence to increase the utilization of adapted technology and achieve the expected performance which includes inventory data clarity, increased retail revenue, and time savings. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to provide insight into whether "more sense makes sense" when attempting to encourage consumers to purchase retail products using technology; that is, does engaging senses in addition to visual and aural senses, such as haptic touch, through interactive retail technology lead to an easier and more enjoyable consumption experience of retail products for consumers, while also enhancing service provider outcomes? To test this assumption ("more sense makes sense"), this study empirically examines whether differences are present in the consumer experience (usefulness, ease of use and customer-perceived value) and service provider outcomes (satisfaction and purchase intentions) across retail technologies with and without haptic touch enabled. Design/methodology/approach: The study randomly allocated participants to either the haptic touch (haptic touch, visual and aural senses, n = 135) or no haptic touch (visual and aural senses only, n = 182) interactive retail technology condition. The data were analyzed using multivariate analysis of covariance. Findings: The data provide support for the use of high-interactive technology achieved through the inclusion of haptic touch by showing it to provide a more visually appealing, easy to use, enjoyable and entertaining experience. However, the results also provide insight into boundaries of where the use of haptic touch does not significantly increase outcomes. Overall, the results suggest high-interactive retail technology using haptic touch provides a more entertaining experience for consumers, which leads to increased satisfaction with service providers, but this does not translate into a significant increase in purchase intentions. Originality/value: This study examines the consumer and service provider benefits and limitations of using haptic touch in interactive retail technology. The effects of haptic touch for both the consumer and service provider have not previously been empirically examined thoroughly in a technological setting. [ABSTRACT FROM AUTHOR]

To remain competitive in a connected world, offline retailers have responded with integrating digital in-store technologies into their physical servicescapes. Often, the introduction of multichannel connecting services like click & collect or order from or return to store are first steps. Shopper-facing advanced technologies can be key to creating a different physical shopping experience for consumers and delivering benefits to retailers such as improved traffic, conversion and baskets or streamlined operational cost. In general, consumers consider retailing technologies as useful. However, shoppers assess the fairness of the exchange about procedures, outcome and treatment and the value of the technology they receive compared to what the retailer gets. Also, satisfaction, trust and privacy concerns are relevant for customers. Retail managers need to ensure the functionality and safety of their application and take consumer concerns seriously. Also, they need to address privacy concerns and build trust, if they want proximity marketing to deliver on its promise of increasing basket size or attracting new shoppers. [ABSTRACT FROM AUTHOR]

This study focuses on innovative ways to digitally instrument the servicescape in bricks-and-mortar retailing. In the present digital era, technological developments allow for augmenting the shopping experience and capturing moments-of-truth along the shopper's path-to-purchase. This article provides an encompassing inventory of retail technologies resulting from a systematic screening of three secondary data sources, over 2008–2016: (1) the academic marketing literature, (2) retailing related scientific ICT publications, and (3) business practices (e.g., publications from retail labs and R&D departments). An affinity diagram approach allows for clustering the retail technologies from an HCI perspective. Additionally, a categorization of the technologies takes place in terms of the type of shopping value that they offer, and the stage in the path-to-purchase they prevail. This in-depth analysis results in a comprehensive inventory of retail technologies that allows for verifying the suitability of these technologies for targeted in-store shopper marketing objectives (cf. the resulting online faceted-search repository at www.retail-tech.org ). The findings indicate that the majority of the inventoried technologies provide cost savings, convenience and utilitarian value, whereas few offer hedonic or symbolic benefits. Moreover, at present the earlier stages of the path-to-purchase appear to be the most instrumented. The article concludes with a research agenda. [ABSTRACT FROM AUTHOR]

Recently, ICT Retail Convergence(IRC) has been rapidly increasing to improve consumer satisfaction and consumer experience. In this paper, we aim to diagnose IRC from consumers' point of view by reviewing the present status and value of IRC according to consumer purchase decision making process. Based on the previous studies in retail industry, we classified IRC into 4 types: Experience-specific tech(Virtual Reality and Augmented Reality); Information-specific tech(Artificial Intelligence and Big Data); Location-based tech(Radio Frequency Identification and Beacon); Payment-related tech(Fin-tech and Biometrics). Next, we found that there is a difference in value provided to consumers according to the type of technology, analysing the value by consumer purchase decision making process. This study can be useful to introduce IRC for improving consumer satisfaction as well as ICT and Retail. Also, it can be basic data for future technology studies with a consumer perspective. [ABSTRACT FROM AUTHOR]

The retail environment is globalizing, requiring high levels of consistent experimentation. Project management can be used to help retailers test new ideas and implement the most successful ones. Unfortunately, project management in the retail setting often delivers unsatisfactory results. Project management has traditionally focused on conventional planning tasks. The people dimension is often overlooked as a key to project management success. However, human behavior is particularly important in the retail setting, where projects are generally focused on testing new concepts, increasing collaboration, and implementing new technologies. This research examines the role of the behavioral dimension in retail project management and supports the view that the behavioral dimension is central to retail project management success. [ABSTRACT FROM AUTHOR]