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Due to recent developments of indoor location-tracking technologies, brick-and-mortar retailers are now able to add location-based marketing capabilities to their existing retail apps, providing retailers with new opportunities to interact with customers inside of their stores. The aim of this study is to identify factors influencing the customers' adoption intention of location-based retail apps for stationary retailing.

Based on the technology acceptance model, a conceptual model was developed. A Web-based survey was conducted in Germany with a final sample of 501 cases. Structural equation modelling was performed to test the hypotheses.

The results confirmed the positive relationship between attitude and the customers' intention to use location-based retail apps. Perceived usefulness and perceived enjoyment promote a positive attitude toward location-based retail apps, while privacy concerns and fear of spam hinder the formation of a favorable attitude. Subjective norms have a positive effect on customers' usage intention.

The results help retailers who want to establish location-based retail apps at the point of sale (e.g. in the context of omni-channel strategies).

As previous research about location-based apps has mainly used empirical data from either Chinese or American samples, less is known about the perception of European customers. Research indicates that existing findings might not be transferable to European countries due to differences in values, social norms or regulations. Also, the failure of Shopkick in Germany illustrates the need for more research. Based on this, using a German sample to answer the research question, this study aims to provide a European perspective on location-based retail apps, and thereby extend existing research.

The purpose of this paper is to evaluate how retailing companies use social media, local and mobile commerce in their omni-channel management strategy. This approach, also known as SO-LO-MO, encompasses customer touchpoints that offer numerous available channels to consumers. The paper provides insights from 16 retailers in two countries, thus showing geographical differences in the SO-LO-MO as well as differences depending on product segments.

In order to analyse how retailing companies implement SO-LO-MO, a conceptual framework including 48 SO-LO-MO activities was derived from literature. The empirical validation was built upon qualitative and quantitative data collection by retrieving information from the websites, social media channels and mobile applications (apps). Analyses included triangulated content analysis as well as non-parametric statistical tests.

The research findings enable a comparison of the SO-LO-MO concept between retailers operating in the two countries. The authors were able to reveal similarities and differences in the SO-LO-MO-based omni-channel management strategies. The identified SO-LO-MO practices vary according to different product segments. The authors identified slightly more SO-LO-MO implementation and integration within the German sample. Differences in local commerce between the two samples appear to be statistically significant. Although the differences in mobile and social commerce are not of statistical significance, there are variations in practical usage.

The research focusses on a small sample of retailers from different product segments in two markets.

The findings present the current state of the SO-LO-MO concept from the omni-channel perspective in Germany and Turkey.

In view of a limited theoretical understanding and empirical grounding on the SO-LO-MO concept, the findings provide empirical evidence by assessing innovative omni-channel management practices of leading retailers in various industry segments. Furthermore, the paper proposes a frame of reference for measuring the level of SO-LO-MO implementation from an omni-channel perspective.

Mobile promotion has become an important and popular mechanism for mobile commerce, with many companies using this approach to increase sales and drive brand satisfaction toward the use of mobile apps. Despite the crucial nature of this topic, knowledge on the value of mobile promotion remains insufficient. Drawing upon consumption value theory (CVT), this study aims to examine the underlying mechanism that drives app satisfaction and in-app purchase.

In this research, the authors selected retail mobile apps for empirical testing. The authors recruited 476 users to complete a survey and analyzed the results using partial least squares structural equation modeling.

The results revealed that functional (monetary savings and localization), social (self-expression), emotional (entertainment), epistemic (exploration) and conditional (personalization) value increase the desirability of mobile promotion, thereby facilitating app satisfaction and in-app purchase.

Amid the vast business opportunities of mobile commerce, numerous brands have developed mobile apps that function as platforms for the promotion, provision and purchase of products and services. With the prevalence of mobile app downloads, apps have become the primary mobile platform for conducting mobile promotion. This research contributes to the literature and offers retailers insight into how to create value that can increase app satisfaction and in-app purchasing through mobile promotion.

Retailers can use their mobile app to send location-based advertisements to consumers in the store. Goal congruence is an important driver for this type of ad's effectiveness. However, evidence of goal congruence influence on positive and negative outcomes and, in turn, on product purchase intention, is lacking. Research also leaves out the moderating effect of shopping motivation and price promotion level. The paper tests the impact of goal congruence on purchase intention through attitude to the ad and its intrusiveness, as well as the moderating effect of shopping motivation and price promotion.

Two online experiments are conducted to investigate these effects. The first experiment investigates the influence of goal congruence (i.e. low vs high) and the moderating effect of shopping motivation (i.e. utilitarian vs hedonic) on attitudes to the ad, level of perceived intrusiveness and, ultimately, purchase intention. The second experiment introduces the moderating effect of price promotion.

Goal congruence has a positive effect on attitude to the ad but no impact on intrusiveness. Goal congruence and shopping motivation further have a significant effect on attitude to the ad, as well as on purchase intention. Finally, no interaction effect of price promotion level is found.

This study tests the effect of goal congruence for in-store mobile apps on attitude towards the ads and intrusiveness and ultimately purchase intention. It further tests the moderating effect of shopping motivation (i.e. utilitarian vs hedonic) and price promotion level on these relationships.

With the development of location-based services and mobile phones, local retailing stores have the opportunity to send location-based advertisings (LBAs) to consumers at a right time and right place. However, knowledge about the influence of LBAs on consumers’ store patronage is limited. The purpose of this paper is to understand how the content of LBAs influences consumers’ store patronage intention. In particular, the paper investigates the influence of perceived accuracy and transaction cost reduction from the content of LBAs on consumers’ store patronage intention through the emotional reactions of pleasure and arousal.

This study developed a theoretical model to examine how the content of LBAs influences the store patronage intention of consumers. Empirical data were collected from 351 undergraduate and graduate students. The partial least squares technique was used to test the research model.

Perceived accuracy and transaction cost reduction from the content of LBAs have a significant influence on the store patronage intention of consumers through pleasure and arousal. Brand image and purchase plan are control variables.

Knowledge about the influence of LBAs on consumer store patronage is limited. This study provides empirical evidence about how perceived accuracy and transaction cost reduction from the content of LBAs affect the emotional reactions of consumers and then determine their store patronage intention.

Building on technology acceptance and learning transfer theories, this study aims to evaluate the integration of mobile augmented reality (MAR) in omnichannel retailing touchpoints for Generation Z (or Gen Z)'s apparel shopping, assessing how habitual augmented reality (AR) use in nonretailing contexts impacts Gen Z's motivations, acceptance and use of MAR shopping apps.

A total of 562 participants downloaded a footwear MAR app and completed a survey. Data were analyzed using confirmatory factor analysis and multivariate regression to explore moderated mediation effects.

The study reveals a paradigm shift: Gen Z's habitual use of AR in social media (e.g. Snapchat and TikTok face filters) significantly influences their intent to use MAR in shopping, overshadowing hedonic motivations. This marks a transition from AR as a gimmick to a practical utility in omnichannel touchpoints, with performance expectancy emerging as a critical mediator in adopting MAR for utilitarian purposes.

This study highlights how Gen Z consumers’ tech habits influence their pragmatic view of MAR, urging re-exploration of the main constructs of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model.

Findings suggest Gen Z values practicality over fun in MAR shopping apps, guiding marketers to emphasize tangible benefits for this demographic.

This research underscores the evolving perception of AR in retail among mobile natives, highlighting the shift from novelty to habitual utility. It offers strategic insights for integrating AR into omnichannel strategies, catering to the utilitarian expectations of Gen Z in the digital retail landscape.

The latest mobile technology may shape consumers' motivations by allowing them to order a variety of foods using smartphone apps. Following the stimulus–organism–response (SOR) framework and using a mixed methods approach, this study investigates the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions. Furthermore, this study examines the moderating effect of the restaurant type.

Data were collected via an online questionnaire survey from 351 individuals in the city of Jakarta (Indonesia) who actually used mobile apps to order food online. Data analysis was carried out using structural equation modeling.

The findings reveal that source credibility, review valence, the navigation system, food quality and service quality significantly impact customers' perceived value. Customers' perceived value, in turn, positively affects their purchase intentions. The findings also reveal that the impacts of review valence, the navigation system, food quality and service quality on customers' perceived value depend on the different levels of restaurants.

This study is among the first in the mobile commerce research that studies the impacts of mobile electronic word-of-mouth (eWOM), system quality and overall restaurant image on dining choices by considering actual mobile shoppers. Second, this study extends the SOR model to examine the impact of the mobile environment-based characteristics on the perceived value that leads to purchase intentions. Third, the current study examines whether the relationships that are discussed early on differ based on the restaurant type. The findings of this study could help practitioners achieve a deeper understanding of diners' behaviors due to the perceived benefits of mobile dining.

The unprecedented development of hotel-branded mobile applications (apps) has been instrumental in facilitating the rich guest–hotel interactions, thus contributing to a high personalization of services. For true personalization, guests need to provide personal information via apps. Yet, no study to date has addressed how guests develop intentions to use such apps given the current personalization and privacy challenges. Therefore, this study aims to investigate hotel guests’ intentions to use hotel apps to access personalized services.

Drawing from personalization-privacy theory, this study conceptualized perceived personalization and privacy concerns as distinct constructs while recognizing two different privacy concerns constructs: general and app-specific privacy concerns. To build a comprehensive structural model that is appropriate for explicating intentions to use hotel apps, this study incorporates consumer psychology and information systems theoretical streams that provide constructs that unequivocally capture the unique set of consumer–app interactions in highly experiential settings such as hotels (e.g. innovativeness and involvement). Using a nation-wide sample of hotel guests from the USA, the model was validated using confirmatory factor analysis and structural equations modeling.

The predictors explained 79 per cent of the variability in the intentions to use hotel apps to personalize hotel services. The strongest predictor of intentions was involvement, followed by app-related privacy concerns and perceived personalization.

First, this study’s extended theoretical framework was well supported, as it captures relevant elements of the mobile commerce ecosystem (e.g. personalization and privacy), thus extending the classic paradigmatic approach to information systems adoption beyond system beliefs. Second, this study clarifies the distinct roles of personalization and privacy in the context of hotel apps, which has not been examined in the context of m-commerce in hospitality. Third, the study clarifies the role of involvement as the most critical factor that can influence guests’ intentions to use hotel apps when personalization options and privacy concerns exist.

This study offers hotel decision-makers a mapping of the factors, leading to use of hotel apps for purchasing personalized hotel services.

This study provides a first theoretical perspective on the hotel app utilization behaviors that have not been studied so far, but carry a strong strategic and financial significance for the hotel industry (direct distribution, brand consolidation and extensive contact with guests).

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 study aims to investigate the intention of adopting a technological service innovation that is a mix-mode consumer shopping service in the retailing context.

A modified extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model is tested by using data on a real example named “Mkolay” which is a new mix-mode consumer shopping service. Data are collected from 217 participants and analyzed by using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Research findings show that the customers' intention to use the new mix-mode consumer shopping service is particularly influenced by performance expectations, effort expectations, social influence and personal innovativeness.

In designing a mix-mode consumer shopping service, keeping the design as simple and easy to use as possible seems to increase the intention of adoption. Additionally, collaborating with reference figures or influencers could be instrumental to spread the new service to a wider audience hence increase the likelihood of adoption. Practitioners should also use new technologies in different ways to attract and surprise customers, especially taking into account the technological profile of potential users.

This study contributes to the literature of technological service innovation adoption by revealing the factors affecting the intention of adoption of mix-mode consumer shopping service in the retailing context with a modified UTAUT2 model.