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This study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.

Using a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.

This study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.

This study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.

Financial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).

Through a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.

To fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.

This study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.

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.

The development of mobile technology has changed the traditional financial industry and banking sector. While traditional banks have adopted artificial intelligence (AI) techniques to deepen the development of mobile banking applications (apps), the current literature lacks research on the use of AI-based constructs to explore users' mobile banking app adoption intentions. To fill this gap, based on stimulus-organism-response (SOR) theory, two AI feature constructs as stimuli are considered, namely, perceived intelligence and anthropomorphism. This study then develops a research model to investigate how intelligence and anthropomorphism affect task-technology fit (TTF), perceived cost, perceived risk and trust (organism), which in turn influence users' AI mobile banking app adoption (response).

This study used a convenience nonprobability sampling approach; a total of 451 responses were collected to examine the model. The partial least squares technique was utilized for data analysis.

The results show that intelligence and anthropomorphism increase users' willingness to adopt mobile banking apps through TTF and trust. However, higher levels of anthropomorphism enhance users' perceived cost. In addition, both intelligence and anthropomorphism have insignificant effects on perceived risk. The results provide theoretical contributions for AI-based mobile banking app adoption and offer practical guidance for bank planning to use AI to retain users.

Based on SOR theory, this study reveals that as features, AI-enabled intelligence and anthropomorphism help us further understand users' perceptions regarding cost, risk, TTF and trust in the context of AI-enabled app adoption intentions.

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.

In recent years, the ongoing development and rapid popularization of mobile devices, not only has brought new forms of lifestyle but also has boomed a wide array of service contents, allowing users to engage in entertainment, study and other daily activities, in addition to business transactions. To explore the factors that affect users' continued use of mobile app software, this paper aims to take into account the utilitarian value and privacy, as well as security factors and intends to propose an integrated research model based on the information systems success (ISS) model.

The data for this study were collected via an online survey questionnaire. A total of 190 valid responses were used to examine the hypotheses in the research model. The casual model was assessed using partial least squares techniques.

The results indicated that the three quality factors (information quality, system quality and service quality) in the ISS model significantly affected satisfaction and utilitarian value. Private and security have significant negative association with utilitarian value. The results also showed that private and security did not significantly affect satisfaction. The findings also provide some directions for further research.

The results show that user's continued use of mobile app software depends upon the perceived utilitarian value and satisfaction. The quality characteristics are the three critical factors that would affect the perceived utilitarian value and satisfaction. Compared to information quality and service quality, system quality has a higher degree of positive impact, which indicates that users are more concerned about the immediate download ability and ease-of-use provided by the system. Furthermore, the research also finds that privacy and security concerns have a negative influence on the utilitarian value, showing that in the context of task-oriented IS, the perceived risk of privacy and security during the process of using mobile app software services, will negatively affect users’ perception of utilitarian value. The insights provided by this study can help mobile app developers optimize design and marketing strategies.

This study provides a better understanding of how the factors in the theories influence the continuance usage intention of life style mobile applications.

This purpose of this paper is to evaluate Millennials’ intention to use service mobile apps and assess gender as a moderator.

An extended technology acceptance model framework that includes information quality and self-efficacy guides this research. PLS-SEM is used to evaluate the data and test the hypotheses.

The study reveals that information quality, self-efficacy, perceived ease of use and usefulness, and attitude influence Millennials’ intentions to use service mobile apps. Additionally, gender is found to partially moderate the results.

Service companies that rely on mobile apps to deliver services ought to consider the disparities among the Millennial generation, increasing the likelihood that Millennial customers will adopt service mobile apps and that they receive acceptable customer experiences.

This paper examines the factors influencing adoption and use of service mobile apps among Millennials and examines gender as a moderator. Additionally, guidelines for service mobile app design are included.

This paper aims to examine and identify important attributes for mobile applications (apps) that might dictate tourist preferences for the apps on a small island destination. Guided by the Task Technology Fit (TTF) theory, the study considers the tasks performed, technology characteristics and individuals’ characteristics in determining the mobile apps attribute set.

This study uses a conjoint methodology within a case study approach framework. The conjoint analysis allows for assessing preferences from different consumers regarding the objective characteristics of products or services that facilitate the optimal design of product development. Optimal product development is a challenge for destinations, as they strive to achieve and sustain optimal market positions. Mobile apps may empower destinations in this endeavor. The case study approach imparts a context-dependent knowledge that facilitates a more nuanced understanding of consumer preference of use.

The results of the conjoint analysis suggest a strategic mapping of the most important attributes including type of content information, coupons and location awareness in defining apps product development. Within each attribute, the study also identifies the significant characteristics of a mobile application that are preferred by tourists. This ranking exists irrespective of familiarity with the destination (first-time and repeat visitors).

The implication is that revealed preferences anchored in conjoint analysis provide a powerful approach to optimize product development in a small island destination. From a practical perspective, the findings suggest that the developments of a mobile app for a destination must concentrate on fostering spending and consider the app as a new marketing channel. From a theoretical point of view, the current study highlights the usefulness of using the conjoint analysis and the TTF theory as an overarching framework in mapping a multi-attribute decision-making space that influences tourist judgment and preference of use. The conjoint method applied in the study enables researchers to clearly identify a combination of various mobile app attributes that are most influential on tourists’ choice and preference of use. The guiding framework, TTF theory, allows the conjoint product designs to go beyond the technology characteristics to include tasks performed by tourists and their individual characteristics.

This study is the first to apply a conjoint analysis within the TTF theoretical framework in the context of a small island destination when assessing tourists’ use preferences toward mobile applications, while at the same time investigating whether any differences exist between first-time and repeat visitors. The study demonstrates that complementing the nature of the task (traveling) with context-specific interface and interactive features is an important area of inquiry that can benefit from adopting conjoint analysis.

Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.

Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.

Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.

Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.

Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.

With more and more individuals relying on mobile devices to obtain information, many libraries launch mobile application to satisfy mobile users’ information need. The purpose of this paper is to figure out factors influencing consumers’ channel transfer intention of library service from web-based platform to mobile app.

A structural equation model is proposed based on categorization theory. In addition, situational contexts are taken into account to make research model more suitable for the real condition. Data collected from 319 samples are used for hypotheses examining.

The relationships between source and target (perceived differentiation including function differentiation and resource differentiation) positively affect perceived situation efficiency, which in turn shapes intention to use mobile library application. Perceived mobile library quality positively influences perceived differentiation, perceived situation efficiency and mobile library adoption intention. In summary, perceived situation efficiency is the main factor.

Both quality and situational factors should be taken seriously, and mobile device producers and mobile app developers should cooperate on improving the quality of mobile app. Meanwhile, it is critical to examine the relationship between web based and mobile library service in the initial or early stage of mobile library development.

By focussing on the impacts of the relationship between web and mobile library service and evaluation of mobile library on the adoption intention, this paper not only provides a theoretical understanding of mobile library adoption behavior but also offers practical insights to library managers and app developers for promoting such a process.