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With the popularity of paid apps and increasing concerns about privacy hazards, this paper aims to investigate the impact of mobile services’ fee-charging models on consumers’ privacy concerns, and generate insights for app developers’ fee-charging strategies.

Three experimental studies including 550 participants were conducted. All studies were between-subjects designs and based on the context of financial mobile services. The implementations of fee-charging models were manipulated by both visualized and test-based stimuli.

The results reveal that consumers are less concerned about potential privacy violations when using subscription-based (vs. purchase-based) financial mobile services (study 1). This effect is mediated by consumers’ perceptions that app developers that charge subscription fees (vs. one-off prices) are more likely to be consumer-serving motivated (study 2 and 3).

This paper advances the current understanding of consumer response toward paid apps, by proposing and testing a novel attribution-based mechanism to explain why the implementation of a subscription-based versus purchase-based fee-charging model can result in more favorable consumer reactions. Furthermore, this paper identifies the implementation of contrasting fee-charging models as a market-related factor that affects the extent to which consumers are concerned about potential privacy violations, extending extant literature on consumer privacy concern.

The provision of information about food to consumers is well recognized to be problematic and complex. Novel approaches tend to adopt app-based services as a way for consumers to get better food information. Potentially, these services could provide relevant information to consumers because they could address particular needs by leveraging on context-awareness, ubiquity and pervasiveness. Do current app-based services actualize these potentialities? The purpose of this paper is twofold: to propose a methodological approach that can be easily adapted to conduct reviews of app-based services and provide consumers with information about food and to answer this question on a specified food information domain (namely, olive oil).

A literature review was performed to investigate characteristics of food information services under a consumer’s value perspective. Then, a qualitative framework was built, which allowed a multidimensional analysis of the food information provided by a service through a mobile app. Moreover, an application of that framework on “olive oil” mobile apps was carried out, with the twofold objective of providing an example of application of the proposed framework in a real context and analyzing the role of mobile apps in reducing consumers’ information and knowledge gap in this particular domain. The review covers commercial applications on “olive oil,” available on the Apple App Store and Google Play Store.

A framework of multidimensional analysis of the two-way information flow in the interaction between a consumer/user and a food app-based service is proposed. The framework represents a useful tool to analyze the offer of mobile-based services in a given sector. The framework is then applied to perform a situation analysis of app-based services in the olive oil market. The analysis highlights that olive oil information providers do not seem to fully exploit recent advances in “Internet of food” technologies. Hence, results from our survey suggest some direction to conceive and develop innovative mobile olive oil apps that better exploit mobiquitous technology features.

Consumers perceive a growing need of information about food. This need is mainly due to recent cases of adulterations, allegations of fraud and subterfuges that have invested food sector (in particular, olive oil sector). This research provides a useful framework to analyze some aspects of management of food information provision through mobile apps. Such a framework represents a practical tool that provides fruitful insights for the design of a new generation of food-app based services within the so-called “internet of food” domain.

Although there are countless mobile apps aimed to assist consumers with their everyday food practices, little research has been devoted to investigate the impact of mobiquitous technologies on the management of food information provision to consumers. The available research lacks in defining an approach capable to analyze the relevance of information provided to targeted audiences by mobile food apps. This paper tries to fill this knowledge gap by proposing a framework that is based on a characterization of food information flows in terms of categorization, source and service features.

Digitalization had a relevant impact on the cultural tourism sector, both demand and supply. If, on the one hand, advances in digital technologies provided tourists with new mobile services able to amplify the cultural experience, on the other hand, they catalyzed the development of new business models by digital enterprises. This paper has a twofold purpose: to detect business models and key characteristics of mobile apps for cultural tourism and to analyze the offering of app-based services in this sector.

The authors defined a methodology to identify, characterize and analyze a particular category of digital products for cultural tourism: app-based services. They are studied in terms of value creation, proposition and capture with the aim to identify the distinctive features of business models. As a result, the authors identified a classification framework on three main dimensions, namely “how to exploit mobile app features to create value for cultural tourists” (value creation), “which valuable services are delivered to cultural tourists” (value proposition) and “how companies are rewarded for the value they offered” (value capture). The authors apply the framework to perform a situation analysis of app-based services in the cultural tourism market.

The analysis highlights that digital enterprises offering app-based services do not fully exploit advances in technologies about users' value requirements. Hence, the results of our work suggest some directions that digital enterprises may follow to better exploit mobile app technology.

To date, little research has been devoted to investigating cultural tourism business models involving the exploitation of mobile app-based services. This research provides a useful framework to analyze fundamental aspects of business models in this sector. Such a framework represents a practical tool that provides fruitful insights for the design of a new generation of app-based services within the so-called “Internet of things” domain.

This study aims to examine the impact of customer brand value dimensions on relationship marketing dimensions through consumer hope in the context of digital payment applications (apps) services. The study considers the role of consumer engagement using a moderated mediation, and applies customer perceived value, affect theory of social exchange and relationship marketing theories.

The study is based on data collected from 301 digital payment app users. Structural equation modeling results were analyzed using Smart PLS. The authors performed moderated mediation, with different levels of customer engagement as a moderating variable, using Model 8 of PROCESS. The authors considered customer perceived value dimensions, digital quality value, perceived value, hedonic value and social value as antecedents to consumer hope and explored the role of trust, commitment and continued usage as a consequence of consumer hope.

Three levels of perceived consumer value, digital quality, price value and social value, positively influenced consumer hope, which has positively influenced trust, commitment and continuance usage. Using moderated mediation analysis, consumer hope influenced continuance usage through trust at different levels of engagement, but consumer hope did not influence continuance usage through commitment at different levels of engagement.

The study highlights the role of consumer hope in linking customer value dimensions with relationship marketing dimensions. The study can guide managers to ensure continued usage of digital payment apps, which is a strategic objective. The results are relevant for the digital setting.

Online services are increasingly utilizing gamification techniques to encourage consumer loyalty and engagement. However, the majority of the gamified services fail to be financially sustainable. Existing freemium and gamified services literature provides scant knowledge on behavioral predictors of in-app purchases in freemium gamified services. The research examines highly interactive consumers' in-app behaviors using competition-based motivational affordances, daily usage behavior and social competition motivation that convert them into super engagers.

The authors applied a multimethod approach by using Multivariate Logistic Regression (n = 685) to analyze in-app behavioral data and Qualitative Comparative Analysis (n = 94) to examine survey and in-app behavioral data of highly interactive consumers of a freemium gamified service to explain paying behaviors.

Results reveal highly interactive consumers that elicit heavy daily usage of the application or excel at in-app challenges are less likely to convert to super engagers. Among super engagers, some are socially competitive, and their inability to advance in the leaderboard corresponds to in-app purchases, while non-socially competitive consumers make purchases to collect extrinsic rewards. Additionally, highly interactive consumers who possess more knowledge about the gamified service become super engagers to increase their chances to be socially competitive.

This research examines in-app behaviors of highly interactive consumers of a freemium gamified service that lead to in-app purchases following varying levels of daily usage behavior and social competition motivation. The authors contribute to the previous literature by defining and examining a new consumer segment – super engagers – that is financially beneficial for freemium services because of their in-app purchases. The authors provide insight on in-app behaviors that convert highly interactive consumers to super engagers and demonstrate that the reason for highly interactive consumers to make in-app purchases is a function of acquiring specific internal and external rewards based on their level of social competition.

The purpose of this paper is to examine current public library apps in Scotland and assess Scottish public library users’ opinions of those apps.

Two qualitative and quantitative surveys were conducted. One survey was distributed to each Scottish local authority, the entities responsible for public libraries and Scotland. The second survey was made available to the public. The results were analysed with nonparametric statistics and content analysis.

All 32 authorities responded. In all, 17 authorities had an app, two had one in development, and 13 had none. Offering an alternative means of communication to patrons was the main reason for providing an app, while cost and low priority were the main reasons provided against app provision. Authorities were satisfied with the core services offered in their apps, but less so with others. No authorities had consulted the public regarding app provision. The public (n=185), while satisfied with current library apps, criticised the complex procedures required to access external services. Patrons from authorities without an app stated interest in apps.

It is vital for public libraries to implement at least core services that are optimised for mobile devices. They should consult with the public before and throughout the development process to ensure they are happy with the implementation.

This is the first known study to explore public library app use in Scotland as well as one of the first in public library app use worldwide.

The methodology of mobile commerce as a significant application for both enterprises and customers are becoming crucial, but few studies discuss the usage attitude toward and customer satisfaction with mobile application (app) services in the life insurance industry. The purpose of this paper is to investigate the effects of attitude toward using life insurers’ mobile app services on customer satisfaction.

The study is based on a questionnaire survey of 538 respondents in Taiwan. The data are analyzed through ANOVA, multiple regression, and path analysis.

The results indicate that all variables significantly and positively affected usage attitude. Among them, compatibility had the most significant influence. In addition, consumers’ perceived usefulness and perceived ease of use positively affected customer satisfaction. Furthermore, the path analysis result demonstrates that usage attitude is the most significant factor for customer satisfaction, and the second-most important factor is the cognition of compatibility’s indirect effect on usage attitude.

The paper extends our understanding of the insured’s usage attitude toward and satisfaction with life insurers’ app services by integrating the technology acceptance model and innovation diffusion theory. The results have practical implications for reinforcing customer relationship management and contribute to fulfilling the need for marketing evidence in life insurance.

The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services. The authors present the idea of using user input and interaction within an app as contextual information, and how each app can identify and store contextual information.

Contexts are modeled as hierarchical objects that can be stored and shared by applications using native mechanisms. A proof-of-concept implementation of the model for the Android platform demonstrates contexts modelled as hierarchical objects stored and shared by applications using native mechanisms.

The model was found to be practically viable by implemented sample apps that share context and through a performance analysis of the system.

The contextual data-sharing model enables the creation of smart apps and services without being tied to any vendor’s cloud services.

This paper introduces a new approach for sharing context in smartphone applications that does not require cloud services.

The objective of this study is to examine the drivers of retail apps satisfaction and continuance intention. An integrative theoretical framework was developed based on the IS success model, E-S-QUAL and expectancy and disconfirmation model to explain retail apps users’ satisfaction and continuance intention.

A total of 359 useable data were collected from the targeted Malaysian respondents who had experience in using retail apps services. Data were analysed using the partial least squares technique.

The results indicate that system quality and e-service quality positively influence retail apps usage satisfaction and have positive direct and indirect effects through satisfaction on continuance intention. The price level has a negative effect on retail apps usage satisfaction. Even though price level has no direct effect on continuance intention to use retail apps, it has an indirect effect on continuance intention through satisfaction.

Although the success of a marketing channel mainly depends on its continuance usage rather than first-time usage, few studies have paid attention to retail apps services. This study contributes to the advancement of knowledge on retail apps by explaining the roles of system quality, e-service quality and price level on retail apps satisfaction and continuance intention. Interestingly, the findings of multi-group analysis imply that female Gen Y app users are more satisfied than males while such differences do not impact their continuance intention to use the retail apps. The findings also suggested that frequency of using apps has no relevance to retail apps user satisfaction, but highly relevant to their continuance intention to use retail Apps services.

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).