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The purpose of this study is to develop and validate empirically a research model that depicts the relationships between the identified key value proposition attributes of mobile value‐added services and the core factors of brand equity.

Survey data collected from 497 mobile value‐added service consumers were examined using structural equation modeling to validate the research model.

The results indicate that the mobile service attributes of personalization, identifiability, and perceived enjoyment have significant positive influences on the key brand equity factors, including brand loyalty, perceived quality, brand awareness, and brand associations. Additionally, the results confirm the significance of all four of the brand equity factors in interpreting consumer purchase intention in the context of mobile value‐added service consumption.

The research results provide insights into how mobile value‐added services may be better designed and delivered to enhance brand equity and, in turn, profits.

While the market potential of mobile value‐added services and the importance of brand equity have both been widely recognized, the development and empirical validation of a model that specifically depicts the determinants of mobile value‐added service consumption from a brand‐equity perspective has not yet been undertaken. Consequently, this study investigates the relationships among key m‐commerce attributes, core brand‐equity components, and consumer behaviors. The research results have extended the application and advanced the understanding of previous mobile‐commerce and brand‐equity theories in the context of mobile value‐added service consumption.

This paper aims to examine the relationship between feelings toward buying wine on mobile phones and m-commerce website loyalty by examining the mediating role of sales promotion and the moderating role of service attributes of the m-commerce websites in influencing the mediation.

A total of 3,318 completed surveys were collected. Drawing on a large non-probability criterion-based purposive sample across six countries (France, Germany, Greece, South Africa, USA and Canada), mediation analysis was performed to examine the hypothesized relationships.

Results show that sales promotion mediates the relationship between feelings toward buying wine on mobile phones and m-commerce website loyalty. Moderated mediation reveals that the indirect pathways (sales promotion) through which feelings toward buying wine over mobile exert its effect on m-commerce website loyalty are dependent on the value of service (wine delivery) attributes of the website. The results demonstrate that sales promotion and service are of paramount importance to wineries and wine marketers.

Wine producers and retailers should consider the use of sales promotion to enhance sales and loyalty to m-commerce websites.

Wine producers and retailers should consider use sales promotion (such as SMS or push notifications) to enhance sales and influence consumer feelings and hence their loyalty.

Wine m-commerce studies are limited, especially with an international perspective comparing six different countries: three from the old world (France, Germany and Greece) and three from the new world (North America with USA and Canada; and South Africa). Altogether, these six countries represent around 40 per cent of the world’s wine consumption.

As technology has increasingly disrupted traditional commerce, there is a need for inclusive growth to ensure that no group – particularly the underprivileged – is left behind. Against this backdrop, this paper aims to shed light on mobile commerce (m-commerce) adoption among street vendors. This study conducts an experiment to investigate the contribution of online reviews and relevant factors in enhancing the perceived usefulness and adoption of m-commerce.

This study used a 2 (perceived ease of use: high vs low) × 2 (trust in service provider: high vs low) × 2 (online review: positive vs negative) between-subjects design, resulting in eight experimental groups. The level of the online review was manipulated, and the degrees of perceived ease of use and trust were measured.

Perceived usefulness depends on online reviews when users perceive incongruent information (e.g. high ease of use but low trust); that is, users who saw positive reviews more strongly perceived the usefulness of m-commerce. On the contrary, perceived usefulness does not vary based on online reviews if users perceive congruent information (e.g. high ease of use and high trust).

This research advances the knowledge of m-commerce adoption by exploring the interaction of perceived ease of use, trust and online reviews, a combination that has not been addressed in previous empirical studies.

Today the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.

Convenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.

Findings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.

Research outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.

Study suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.

Major contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

The invention and use of mobile commerce (m-commerce) technology have progressed in recent years. In small to medium-sized enterprises (SMEs), the decision to implement business-to-business m-commerce is a multiple-criteria decision analysis problem that involves both qualitative and quantitative factors, and its evaluation may be based on imprecise information or uncertain data. Furthermore, there may be significant dependences or important feedback among different levels of criteria or alternatives. However, most conventional decision models cannot capture these complex interrelationships. The purpose of this paper is to adopt a new hybrid multiple attribute decision model (MADM) model to evaluate the implementation of business-to-business m-commerce by SMEs in Taiwan to enhance the thinking of management and improve decision gaps.

In this study, the authors present the use of a new hybrid MADM combined with a decision-making trial and evaluation laboratory (DEMATEL) method to construct an influential network relationship map (INRM) and find the influential weights of DANP (DEMATEL-based ANP) in criteria from the influential relationship matrix, and the modified VIKOR method using influential weights to evaluate and integrate the criteria performance in the gaps and to analyze how to reduce the gaps to evaluate the decision to implement business-to-business m-commerce by SMEs based on INRM.

The findings of using the new hybrid MADM model can efficiently and successfully be applied to the business-to-business m-commerce of SMEs to improve and reduce the performance gaps among each criterion/aspect when setting improvement strategies for achieving an aspiration level based on INRM.

This study achieves the following: successfully building a decision network (called an influential network relation map (INRM)) of the technological advances and implementations of business-to-business m-commerce for solving the inter-dependence and feedback of criteria/aspects in the real world problem; how changing effective solutions from existing performance of situations/alternatives into aspiration levels to fit the current competitive markets in the business-to-business m-commerce of SMEs; and efficiently shifting from ranking and selection when determining the most preferable approaches to performance improvement by modified VIKOR methods.

Although little is known about consumers’ attitudes towards wireless marketing channels and how customer value is generated in mobile commerce, many organizations are today making considerable investments to take advantage of the new business possibilities offered by wireless technologies ‐ encouraged by optimistic, yet contradictory forecasts on the future volume of mobile commerce. This paper reports on a national consumer survey conducted to investigate (i) the Finnish consumers’ willingness to use a number of initial mobile service, (ii) the common supposition that m‐commerce will be able to increase the overall market for e‐commerce by penetrating into untapped markets, and particularly (iii) if early and intended adoption of m‐commerce by consumers can be attributed to certain types of mobile services.

The advent of the 3G world of mobile commerce has suffered from the wait‐and‐see mode over the last years. Existing barriers pose a challenge to all actors in the mobile commerce industry (MCI). Learning from the future and discovering a route to a desired future are keys to successful mobile commerce business. In this paper we argue that it is very important that all actors in the MCI use an industry foresight approach in order to discover a successful route to future markets. We present a framework for creating industry foresights and for understanding the future of mobile commerce. We focus on the mobile commerce industry as a whole and introduce two broad variables; (1) adoption and diffusion of mobile commerce products and services; and (2) the macro‐economic development trend. Based on these variables we build four foresight scenarios: Rapid‐Up, Rapid‐Down, Slow‐Down and Slow‐Up. On the basis of these four different scenarios we suggest some features of promising mobile commerce products and services. We are using information‐gathering agents in order to collect information for our analysis. The foresight framework will help all actors understand the future for m‐commerce.

This study seeks to develop a general framework for evaluating communication platforms in e‐commerce, and then apply the framework to investigate what factors have impeded m‐commerce from taking off in the specific context of China.

The paper proposes a three‐dimension framework for evaluating a communication platform in e‐commerce, which features reach, richness, and costs of communications as its salient characteristics. Grounded on the framework, a comparative analysis is conducted using data from a survey sponsored by the Ministry of Commerce of China. The analysis, from the user's perspective, compares facilitators and inhibitors for using communication platforms in two different contexts, the mobile communication platform in m‐commerce vs the fixed communication platform in the “classical” e‐commerce.

The study finds that, compared with e‐commerce over the fixed communication platform, the m‐commerce in China enjoys relatively great communication reach but suffers from relatively low communication richness. In the mean time, costs of communications do not seem to be a major barrier for m‐commerce growth.

The three‐dimension framework can serve as an underlying model not only to evaluate currently available communication platforms for e‐commerce, but also to address economic calculus of benefits and costs of emerging communication platforms.

The purpose of this study is to draw concepts from marketing and information systems research and integrate them in the context of M-commerce. The authors develop a conceptual model of technology readiness (TR) affecting perceived ubiquity (PQ) (of smartphones) and PQ affecting M-commerce adoption (MA) incorporating the moderating effect of privacy concerns (PC) on the relation between PQ and MA along with the constructs perceived usefulness (PU) and perceived ease of use (PEU).

The conceptual model was formulated using a set of qualitative research procedures (four focus group discussions) and tested using two questionnaire-based surveys (with 372 and 431 respondents each) in India. Exploratory and confirmatory factor analyses were conducted followed by structural equation modeling for the quantitative data.

Results from the quantitative study indicate a significant effect of TR on PQ, PU and PEU. All three latter constructs had a significant effect on MA. A significant moderating effect of PC on the relation between PQ and MA was also observed.

The study findings enhance the literature on the antecedents of successful adoption of M-commerce and establish the role of PQ as a significant influencer of MA.

The study findings would enable service providers with a new and relevant model of M-commerce adoption.

The major contribution of the study is the development and validation of a model that has attitudinal variables related to technology usage and their relations to M-commerce adoption.

The purpose of this paper is to examine the factors examining the determinants of users' mobile commerce (m‐commerce) usage activities.

Data were collected from 402 users in Malaysia, and structural equation modelling analysis was employed to test the research model.

The results showed that different demographic, motivation and security perceptions variables have different relationships with the types of m‐commerce usage activities.

The results from this study will be useful for m‐commerce companies in formulating appropriate marketing strategies, as well as developing appropriate applications that will attract more consumers.

Although past literatures have focused on technological aspects of m‐commerce, few studies have examined the applications and strategies of m‐commerce. Furthermore, most studies on m‐commerce adoptions have focused on the relationships between technology adoption factors and behavioural intentions of users. There are few studies which have investigated the actual m‐commerce usage activities of users.