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The purpose of this article is to outline a conceptual framework on mobile applications that support social interactions among users to warrant commercial viability of such applications.

We build on the social network paradigm to propose an activity-based view on mobile application usage, and theoretically link the pertinent features of mobile social networking applications (MSNAs) to a set of measurement metrics concerning their commercial viability.

The conceptual framework formulated highlights how MSNAs can be systematically designed and deployed to ensure their commercial viability.

A pertinent set of features that support social networking among the users, and their plausible mechanisms in facilitating the commercial viability of MSNAs, are explicated. This facilitates future research endeavours in systematically investigating the emerging form of mobile applications. The limitation lies in a lack of empirical data to validate the formulated propositions, which is beyond the scope of this paper and is directed for future research.

A coherent set of measurement metrics are put forward for practitioners to measure the commercial viability of an MSNA. Also theoretically based insights are derived for how they can better derive commercial values from the emerging form of mobile applications.

Most relevant previous research has focused either on the MSNAs’ technical design aspects or user behavioural issues. This research ties up the themes on technical design, user behaviour and business consideration in formulating a research framework for assessing the commercial viability of MSNAs.

The purpose of this paper is to explore the reasons behind the slow adoption of mobile payment services. The expectations of the main groups of stakeholders – the mobile service providers, the retailers, and the consumers – of the service in the retail industry in Sweden are examined.

The authors use a qualitative case study of stakeholders’ expectations. The conceptual research framework is based on the theory of diffusion of innovations, the technology adoption model, and network externalities. The proposed framework was tested and validated by empirical findings.

One of the key findings of the research highlights that acceptance of a mobile payment service depends on the ability of mobile payment providers to build networks of both retailers and consumers simultaneously. The service will attract these stakeholders if it meets their expectations in the best possible way. Another finding is that mobile payment services do not meet expectations on an enhanced purchasing process. This is the area for future service improvement.

The main limitation of this study is that only a few retailers were contacted.

First of all, criteria from the developed research framework can be used as a guide for mobile payment service development. Second, when developing and providing a mobile payment service, mobile payment providers need to have a good understanding of the needs and expectations of retailers and consumers.

Stakeholders’ expectations have not been a focus for research in previous studies. This is a new research object.

The purpose of this paper is to understand which controlling and enabling practices are used, how the numerous supplying partners are managed and how positive network effects are generated in online service triads (multi-sided platform – supplying partners – consumers).

A single representative in-depth case study was conducted to refine theory on managing service triads. The main data source consists of field notes collected by one author, who held a temporary position within the organization. Additional data were collected from observations, internal documents, informal talks and 20 interviews.

The authors found controlling and enabling organizational practices in four main categories on two levels as follows: managing network composition (system level), managing order fulfillment and returns (operations level), category management (both levels) and capability enhancement (both levels).

The authors show that both controlling and enabling practices are present in online service triads. This enables platform owners and supplying partners to share responsibilities for creating positive network effects, i.e. to increase scale, which increases value, which again attracts more suppliers and consumers, which creates more value, etc.

The authors present a range of and controlling and enabling practices that describe how multi-sided platforms can manage numerous supplying partners in an online context.

This study is the first to show that contractual and relational governance is insufficient in service triads in online settings with numerous supplying partners. Further, the authors provide empirical evidence that supply networks continuously adapt over time.

The new ways to complete financial transactions have been developed by setting up mobile payment (m-payment) platforms and such platforms to access banking in the financial mainstream can transact as never before. But, does m-payment have veiled consequences? To seek an answer, the research was undertaken to explore the dark sides of m-payment for consumers by extending the theory of innovation resistance (IR) and by measuring non-adoption intention (NAI).

Three hundred individuals using popular online m-payment apps such as Paytm, PhonePe, Amazon Pay and Google Pay were surveyed for the primary data. IBM AMOS based structural equation modelling (SEM) was used to analyse the data.

Each m-payment transaction leaves a digital record, making some vulnerable consumers concerned about privacy threats. Lack of global standards prevents consumers from participating in the m-payment system properly until common interfaces are established based on up-to-date standards. Self-compassion (SC) characteristics such as anxiety, efficacy, fatigue, wait-and-see tendencies and the excessive choice of technology effect contribute to the non-adoption of m-payment.

This study proposes a threat model and empirically explores the dark sides of m-payment. In addition, it also unveils the moderator's role of SC in building the structural relationship between IR and NAI.

The purpose of this study is to investigate the antecedents of behavioral intention to use (BIU) mobile payment in Indonesia by extending unified theory of acceptance and use of technology (UTAUT) with user privacy constructs, namely, perceived security (PS), perceived risk (PR) and trust (Tr).

This is a quantitative research using the covariance-based structural equation modeling method, whereby the researchers conducted an online survey and distributed online questionnaires to users of mobile payment from all over Indonesia to obtain the data. The sample in this study consisted of 358 respondents.

This study found that social influence, facilitating conditions, PS, performance expectancy and Tr have a significant and direct influence on BIU mobile payment. PR was not found to have a significant and direct relationship with BIU, but it was indirectly affecting the latter through Tr as the mediating variable.

The researchers modified UTAUT by incorporating PS, PR and Tr to create a more comprehensive model in predicting mobile payment adoption, especially considering the risky nature of digital transactions in emerging economies like Indonesia. This extended model has never been thoroughly explored in previous studies.

The purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.

A survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.

The key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.

It is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.

This quantitative study aims to examine the determinants that impact the behavioral intention to use mobile payment (m-payment) among Generation Z (Gen Z) customers in Indonesia.

The theoretical model comprises seven latent variables: effort expectancy, performance expectancy, social influence, facilitating conditions, promotional activities, perceived security and behavioral intention. In addition, the two moderating factors of education and gender are used to investigate the significant effect of the determinants on intention to adopt m-payment. This study obtained the final data size of 430 respondents. The data analysis is conducted using structural equation modeling.

The results substantiate the significance of promotional activities, perceived security, performance expectancy, effort expectancy and social influence, on the behavioral intention to accept m-payment systems. Gender is revealed to significantly moderate two constructs: social influence and promotional activities, on the m-payment usage intention. Meanwhile, education moderates the effect of perceived security on behavioral intention.

This research is expected to fill the gap because only a few studies discuss the determinants affecting m-payment usage in Indonesia, especially among Gen Z-ers. Furthermore, the new findings associated with the role of two moderating factors become important practical implications because most of the prior studies often ignore the moderating factors.

The purpose of this paper is to study mobile services for supply chain management (SCM) in the electronic grocery (e-grocery) sector. The authors investigate their diffusion and formulate policies in order to stimulate the adoption.

A System Dynamics model is proposed for a short fresh food supply chain (SC). The model predicts how product traceability, mobile payment, and time-based delivery management functionalities contribute to the adoption of a SCM mobile application.

The three services drive the diffusion of the application. A high level of real time information brings decreased inventory levels and more frequent order placing, leading to an increased number of logistics transactions managed by the mobile application and growth in the associated revenue for the service provider company.

The proposed study fosters research on overcoming the barriers that prevent integration, collaboration, and better visibility in e-grocery SCs.

This work constitutes a roadmap to identify the key enabling factors of e-grocery expansion.

This is one of the few contributions focussing on increasing the efficiency of e-grocery SCs by applying management strategies supported by mobile devices.

This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.