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This study aims to investigate the relationship between all three dimensions of perceived strategic value of m-commerce (operational support, managerial productivity and strategic decision aids), antecedents of m-commerce (organizational readiness, external context and m-commerce competence) and m-commerce adoption. The present study will further examine a mediation model in which all three dimensions of perceived strategic value of m-commerce affect m-commerce adoption through IT investment.

An online survey questionnaire was adopted to test the validity of this research and hypotheses. Data were collected from 178 Chinese family businesses via snowball sampling.

The results show that all three dimensions of perceived strategic value of m-commerce (operational support, managerial productivity and strategic decision aids) are positively connected to m-commerce adoption. Also, it was found that IT investment partially or fully mediates the relationship between all these dimensions of perceived strategic value of m-commerce and m-commerce adoption.

This study would enhance owners' and managers' understanding of the relationship between perceived strategic value of m-commerce, IT investment, antecedents of m-commerce and m-commerce adoption, thus contributing to their future adoption.

Understanding the adoption of m-commerce in small and medium-sized enterprises (SMEs) is critical for their sustainable development. This study aims to investigate the adoption of m-commerce in Vietnamese SMEs, leading to the identification of the critical determinants and their relative importance for m-commerce adoption.

An integrated model is developed by combining the diffusion of innovation theory and the technology–organization–environment framework. Such a model is then tested and validated using structural equation modeling and artificial neural networks in analyzing the survey data.

The study indicates that perceived security is the most critical determinant for m-commerce adoption. It further shows that customer pressure, perceived compatibility, organizational innovativeness, perceived benefits, managers’ IT knowledge, government support and organizational readiness all play a critical role in the adoption of m-commerce in Vietnamese SMEs.

The findings of this study can lead to the formulation of better strategies and policies for promoting the adoption of m-commerce in Vietnamese SMEs. Such findings are also of practical significance for the diffusion of m-commerce in SMEs in other developing countries.

To the best of the authors’ knowledge, this is the first attempt to explore the adoption of m-commerce in Vietnamese SMEs using a hybrid approach. The application of this approach can lead to better understanding of the relative importance of the critical determinants for the adoption of m-commerce in Vietnamese SMEs.

The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs.

To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling.

The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant.

This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce.

The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

The purpose of this paper is to identify the impact of factors derived from the unified theory of user acceptance of technology (performance expectancy, effort expectancy, social influence, facilitating conditions, age, gender) and of those drawn from literature (perceived risk, perceived enjoyment and innovativeness) on the adoption of m-commerce in India. It also suggests implications of these for the consumer behavior theory practitioners and marketers.

Data were collected using an online survey from 321 respondents, split into two groups (high and low adoption level users) based on the usage scores of the four categories of m-commerce- location-based, transaction-based, entertainment and content delivery. Logistic regression technique was used to identify the prominent factors among the nine identified influencers to understand the differences between the two groups.

The findings of this paper are sample biasness, self-reported m-commerce adoption level, limited m-commerce categories and specific context.

Except the two factors of performance expectancy and facilitating conditions, all other variables discriminate between low and high adoption levels of m-commerce services in India. Social influence, perceived enjoyment and innovativeness were the three main factors that were found to have the most significant impact on the discrimination levels of m-commerce service users in India. Further, it was found that women and the younger generation users of m-commerce showed a greater propensity for adopting m-commerce practices.

Marketers need to focus on key factors like social influence, perceived enjoyment, perceived risk and effort expectancy to persuade the young and innovative consumer target groups increase their adoption of m-commerce services.

This is the first study of its kind to explore factors that distinguish users with low and high levels of m-commerce adoption, by taking into consideration all four categories of m-commerce (transaction-based, content delivery, location-based and entertainment). In doing so, it highlights the need for marketers to focus on factors beyond facilitating conditions and performance expectancy, to enhance the adoption of m-commerce practices.

The advent of mobile telephony devices with strong internet capabilities has laid the foundation for mobile commerce (m-commerce) services. The purpose of this paper is to empirically examine predictors of m-commerce adoption using a modification of the widely used technology acceptance model and the unified theory of acceptance and use of technology model.

The data were collected from 213 respondents by means of an online survey. The data were analyzed through multi analytic approach by employing structural equation modeling (SEM) and neural network modeling.

The SEM results showed that variety of services, social influence, perceived usefulness, cost and perceived trust have significant influence on consumer’s intention to adopt m-commerce. The only exception was perceived ease of use which observed statistically insignificant influence on adoption of m-commerce. Furthermore, the results obtained from SEM were employed as input to the neural network model and results showed that perceived usefulness, perceived trust and variety of services as most important predictors in adoption of m-commerce.

The findings of this study give an insight of key determinants that are important to develop suitable strategic framework to enhance the use of m-commerce adoption. In addition, it also provides an opportunity to academicians and researchers to use the framework of this study for further research.

The study is among a very few studies which analyzed m-commerce adoption by applying a linear and non-linear approach. The study offers a multi-analytical model to understand and predict m-commerce adoption in the developing nation like India.

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.

This study aims to empirically examine the factors that affect the consumer intention to use (IU) mobile commerce (m‐commerce) in Malaysia. The five factors examined in this study are perceived usefulness (PU), perceived ease‐of‐use (PEOU), social influence (SI), perceived cost and trust.

The study sample consists of 222 respondents with a response rate of 84.09 per cent. Data were analyzed by employing correlation and multiple regression analysis.

The findings revealed that PU, SI, perceived financial cost and trust are positively associated with consumer IU m‐commerce in Malaysia. In addition, PEOU and trust were found to have an insignificant effect on consumer IU m‐commerce in Malaysia.

The generalizability of the findings is limited as the study focuses only on Malaysia.

Based on the findings, companies involved in m‐commerce should focus on improving the usefulness of the system, trust (i.e. security and privacy protection) and reducing the cost of m‐commerce services to improve the adoption of m‐commerce.

The findings made a contribution in terms of allowing us to understand the factors that can contribute to the adoption of mobile commerce. This study successfully extend the TAM model in the context of mobile commerce by incorporating one trust‐based construct (trust), one behavioural control construct (perceived financial cost) and one subjective norm construct (SI). This extended TAM model provides a greater understanding of user acceptance of mobile commerce in Malaysia.

The purpose of this paper is to investigate the role of trust and perceived enjoyment in the technology acceptance model by distinguishing distinct stages of adoption among street vendors (initial and advanced adoption stage).

Face-to-face interviews using a structured questionnaire were conducted with 430 street vendors in Bangkok; 415 usable surveys were analyzed. By applying K-means cluster analysis, two segments were found with 200 initial and 215 advanced adopters. A multi-group analysis was employed to investigate differences of relationships between the two groups.

The findings reveal significant similarities and dissimilarities between the two groups of vendors. Both initial and advanced adopters emphasize trust of service providers. The first group relies more on perceived ease of use and perceived enjoyment in motivating m-commerce adoption but depends less on perceived usefulness. On the contrary, for the latter group, the influence of perceived ease of use and perceived enjoyment significantly decreases, but the effect of perceived usefulness significantly increases.

This study sheds light on the managerial implications related to how service providers can tailor their marketing strategies to target vendors in disparate diffusion stages, and it encourages building trust between partners over time.

Due to the lack of theoretical and managerial understanding of factors that drive m-commerce adoption for micro businesses, this study identifies distinct adoption stages and offers valuable insights into the similarities and differences among initial and advanced adopters.

The purpose of this paper is to report a study investigating the impact of personal innovativeness in information technology (PIIT) and social influence on user continuance intention toward mobile commerce (m-commerce) in the USA.

A survey was conducted among undergraduate and graduate mobile users in a regional university. Structural equation modeling procedures were deployed to analyse 323 valid data points.

The study found that among well-educated m-commerce users, user personal innovativeness as measured by PIIT and perceived usefulness, the determinants of initial adoption, remain as strong determinants of user continuance intention. PIIT also remains as the antecedent of perceived ease of use. Social influence has changed the pattern of influence on continuance intention.

This study is unable to investigate m-commerce user expectations and satisfaction levels. The small and convenient sample does not offer guarantee of the findings.

M-commerce providers should pay adequate attention to personal innovativeness, since it affects mobile user willingness and capability to welcome and adapt to new services and features. They should always utilize social channels to gather feedback, to distribute new changes or features, and to exert positive influence.

This study is one of the few examining the effect of PIIT in a post-adoption context and confirms its long-term psychological influence on continuance intention toward m-commerce. This study is also one of the initial to use discursive power perspective to study social influence on continuance intention in the mobile context.

Given the proliferation of mobile devices, m‐commerce is expected to experience a substantial growth. However, most m‐commerce applications except for a few have failed to meet expectations. In this study, the authors aim to examine specific factors pertaining to the individual adoption of B2C transactional mobile commerce.

A comprehensive framework integrating well established theories of technology adoption – i.e. the technology acceptance model (TAM) and the theory of planned behaviour (TPB) – is developed. More specifically, perceived usefulness is re‐conceptualized to enhance the specificity of these theories to mobile commerce. The resulting model is empirically tested with mobile device users who have not adopted mobile commerce yet.

The empirical results provide strong support for the integrative approach, shedding light on the significance and relative importance of specific technological characteristics. The theoretical and empirical implications of these results are discussed.

The paper demonstrates the need to develop the innovation diffusion theory and TAM further by including the effects of social influence and individual characteristic variables. Furthermore, the paper also shows the usefulness of accounting for the specificity of the IT artifact in general and m‐commerce applications in particular. In this study, the specificity of the IT artifact is accounted for by decomposing perceived usefulness into specific considerations that are relevant to m‐commerce adoption. Such an approach presents a major advantage. Indeed, the significance and magnitude of the formative measures show which characteristics of m‐commerce are adoption drivers.