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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.

The purpose of the study was to identify (1) whether aspects of expectancy-value judgments (EVJ) of uses and gratifications, such as novelty, fashion/status, sociability and relaxation, influenced trust in augmented reality (AR) apps; (2) whether trust in AR apps influenced usage intention toward AR apps and online/offline store patronage intention and (3) the moderating effect of consumer self-determination.

Mobile users (n = 630) were drawn from a USA market research company. The proposed model was tested by structural equation modeling with maximum likelihood estimation.

The study found that trust in AR apps was a determinant of usage intention toward AR apps and online/offline store patronage intention. Novelty and fashion/status for EVJs of uses and gratifications affected trust in AR apps. Sociability for EVJs of uses and gratifications negatively affected trust in AR apps. Users' self-determination moderated the influence of users' trust in AR apps on usage intention toward AR apps and online/offline store patronage intention.

First, the study elaborates on the impacts of the underlying aspects of an EVJ model of uses and gratifications regarding AR apps on trust in AR apps and EVJ model's influence on usage intention toward AR apps and online/offline store patronage intention. Second, the results of the study suggest useful strategies involved in the development of consumer-driven AR apps that satisfy users' needs and desires.

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.

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.

Location-based mobile games, like Pokémon GO, have been tremendously prevalent in recent years. Marketing professionals have considered this type of game as a promising marketing platform. The purpose of this study is to explore the marketing potential of location-based mobile games by examining players’ responses to sponsors featured in Pokémon GO.

A survey was conducted among gamers of Pokémon GO to examine the psychological process of the gameplay, and how it influences some marketing outcomes. A conceptual model was built based on the survey results.

Results indicated that gamers of Pokémon GO experienced spatial presence, which positively influenced their attitudes toward and intentions to visit the sponsors. Moreover, spatial presence was positively influenced by players’ game engagement, perceived mobility and contextual perceived value. Some motives of playing Pokémon GO were also identified, including the entertainment motive and social motive.

This study is the first one to analyze the marketing potential of Pokémon GO, which is a successful location-based mobile game. The results are meaningful to marketing professionals who are interested in this innovative media platform. This study is also the first one to apply the theory of spatial presence to the investigations of this type of game. It showcases the power of this theory in guiding the research of interactive marketing with mobile gaming.

Location-based games (LBGs) have afforded novel information technology (IT) developments in how people interact with the physical world. Namely, LBGs have spurred a wave of territoriality (i.e. controlling) and exploration (i.e. discovering) of augmented physical space that are driven by different social dynamics related to group formation, social connectivity and altruism. The aim of this study is to investigate this dynamic and how it is further related to the use intensity of location-based IT.

This work presents a structural equation model that connects social dimensions of play to territorial control and exploration, and playing intensity. The model was tested with psychometric data gathered from a global sample of Pokémon GO players (N = 515).

In the tested sample, players' social self-efficacy and altruism were positively associated with team identification. Team identification, in turn, was positively associated with both territorial control and exploration tendency. Territorial control had a significant relationship with playing intensity; however, exploration tendency did not. This implies territorial control is the stronger predictor of playing intensity.

The findings suggest that human primal urges to conquer and control geographical territory may surface in the digital reimagination of physical space. LBGs offer opportunities for making use of new forms of play (territorial control and exploration) in motivating locative behaviours.

This research quantifies the relationships between a social predisposition, team identification, territorial control, exploration tendency and playing intensity in the context of Pokémon GO. It contributes new knowledge to the understanding of territorial behaviour (control and exploration) in location-based IT.

The chapter takes a micro-level view to investigate cross-innovation between the audiovisual media and tourism sectors. It provides a narrativised account of the creation and development of two location-based film tourism apps, one developed in Hamburg, Germany and another in Malmö, Sweden. In doing so, it aims to elucidate the dynamics of innovation at the boundaries of industries, as experienced by individuals and small groups engaged in the process. The conclusion of the chapter focuses on the broader issue of the relative slowness of innovation in the tourism industry, as well as the shortage of private sector-driven initiatives that address this issue. It also touches upon the critical issue of the platformisation of tourism industries and its potential effects on cross-innovation.

Considering the limited understanding of determinants influencing the adoption of smart mobile tourism app (SMTA) featuring augmented reality (AR) and big data analytics (BDA), privacy concern (PC) and the risk of privacy information disclosure (PI) have threatened SMTA adoption. This study aims to propose an expanded consumer acceptance and use of information technology (UTAUT2) model by including new contextual components, integrated with privacy calculus theory (PCT) model to examine the determinants influencing behavioural intention (BI) to use SMTA.

Personal innovativeness (IN) and privacy information disclosure (PI) are incorporated in UTAUT2 model to determine its effect on SMTA featuring AR and BDA technologies from smart perspective. Both privacy concern (PC) and privacy risk (PR) derived from PCT model are also included to determine its influences on an individual's willingness to disclose privacy information for better-personalised services. We collected responses from 392 targeted participants, resulting in a strong response rate of 84.66%. These responses were analysed statistically using structural equation modeling in both SPSS 22.0 and SmartPLS 3.0.

Findings showed that personal innovativeness (IN), habit (HT) and performance expectancy (PE) significantly affect behavioural intention (BI) while privacy concern (PC) significantly affect privacy information disclosure (PI) to use SMTA. In contrast, effort expectancy (EE), hedonic motivation (HM) and privacy information disclosure (PI) had no significant effects on behavioural intention (BI) while privacy risk (PR) had no significant effects on privacy information disclosure (PI) to use SMTA.

The study findings help tourism practitioners in better comprehending recent trends of SMTA adoption for establishing targeted marketing strategies on apps to improve service quality. In addition, it enables app development companies acquire app users’ preferences to enhance their app development for leading app usage.