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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.

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

As social commerce migrates to the mobile platform, mobile social commerce (ms–commerce), an emerging way of conducting social commerce in the mobile environment, is gaining popularity among mobile users. Although impulse buying in social commerce has been the focus of scholars in recent years, individuals' impulse-buying behavior in ms–commerce has not been highlighted and therefore is worth investigating. This study addressed that gap by differentiating and monitoring the impacts that three key targets of social identification in ms–commerce exerted on impulse buying. Furthermore, previous studies had highlighted the importance of culture in impulse buying in other contexts, so the authors examined how the effects of the key identification targets differed across cultures, as a result of cultural diversity among the ms–commerce users. Finally, the authors drew upon the lens of information technology (IT) affordances to explore how different combinations of ms–commerce affordances influenced each target of identification.

This research first applied a qualitative methodology by using semi-structured interviews with 27 ms–commerce users to extract the relevant subdimensions of IT affordances in ms–commerce. Then, the authors tested their hypotheses with survey data collected from the United States and China.

The results clearly illustrate that three key targets of social identification had varying impacts on impulse buying in different cultural dimensions. In addition, nearly all of the proposed IT affordances in ms–commerce aided users in building multiple identifications, to various degrees.

This study extends social commerce research by examining the important role that social identification plays in impulse buying in the mobile environment. Moreover, unlike previous studies that mainly had focused on ordinary buying in social commerce across cultures, this study investigated the relative importance of the targets of social identification on impulse buying in different espoused cultural dimensions. Importantly, the authors used a technology affordance lens to also uncover the context-specific stimulators of separate identification targets, thus going beyond the existing body of knowledge that focused on general beliefs.

The purpose of this paper is to evaluate how retailing companies use social media, local and mobile commerce in their omni-channel management strategy. This approach, also known as SO-LO-MO, encompasses customer touchpoints that offer numerous available channels to consumers. The paper provides insights from 16 retailers in two countries, thus showing geographical differences in the SO-LO-MO as well as differences depending on product segments.

In order to analyse how retailing companies implement SO-LO-MO, a conceptual framework including 48 SO-LO-MO activities was derived from literature. The empirical validation was built upon qualitative and quantitative data collection by retrieving information from the websites, social media channels and mobile applications (apps). Analyses included triangulated content analysis as well as non-parametric statistical tests.

The research findings enable a comparison of the SO-LO-MO concept between retailers operating in the two countries. The authors were able to reveal similarities and differences in the SO-LO-MO-based omni-channel management strategies. The identified SO-LO-MO practices vary according to different product segments. The authors identified slightly more SO-LO-MO implementation and integration within the German sample. Differences in local commerce between the two samples appear to be statistically significant. Although the differences in mobile and social commerce are not of statistical significance, there are variations in practical usage.

The research focusses on a small sample of retailers from different product segments in two markets.

The findings present the current state of the SO-LO-MO concept from the omni-channel perspective in Germany and Turkey.

In view of a limited theoretical understanding and empirical grounding on the SO-LO-MO concept, the findings provide empirical evidence by assessing innovative omni-channel management practices of leading retailers in various industry segments. Furthermore, the paper proposes a frame of reference for measuring the level of SO-LO-MO implementation from an omni-channel perspective.

Due to customers' extensive avoidance behavior, social commerce may be less successful than anticipated. This study investigates the underlying mechanism and antecedents that influence customers' avoidance of peer-generated advertisements.

Based on the general framework of avoidance behavior, we propose a theoretical model for the context of a mobile social network, with tie strength as the user-related factor and violation of shared language, advertisement relevance and information overload as contextual variables. Using survey data collected from 334 customers on WeChat, we empirically examine the research model and hypotheses.

Tie strength and advertisement relevance are negatively associated with avoidance behavior, whereas information overload and violation of shared language have significantly positive effects. Furthermore, tie strength weakens the negative relationship between violation of shared language and avoidance behavior but strengthens the positive relationship between advertisement relevance and avoidance behavior.

The findings extend understanding of advertisement avoidance behavior and can guide practitioners' improvement of advertising efficiency in mobile social networks.

The purpose of this paper, which is based on the UTAUT2 model, is to develop and evaluate a predictive model of customer satisfaction related to mobile commerce (m-commerce) and the willingness to recommend this service to others.

The study was conducted based on a sample of 402 respondents. Confirmative factor analysis was used to evaluate the validity of the model, while structural equation modeling (SEM) was used to test the hypotheses. Finally, artificial neural networks were used to rank the influence of the significant predictors obtained by SEM.

Trust was found to be the most significant driver of customer satisfaction, followed by performance expectancy and perceived value. In addition, affective commitment and satisfaction were identified as the strongest predictors of word of mouth (WOM).

The originality/value of the paper lies in the establishment of the connection between the independent variables of the UTAUT 2 model – trust, satisfaction, affective and continence commitment and WOM. Additionally, it is one of a small number of studies investigating customer commitments and their influence on WOM in m-commerce.

Social commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).

In the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.

From 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.

The SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.

The authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.

This study aims to investigate how aspects of mobility affect social media advertising effectiveness (i.e. consumer purchase intention) on mobile platforms from the perspective of the fit-viability model.

Data were collected through an online questionnaire survey of 378 WeChat users and used to test hypotheses with structural equation modeling.

Consumer purchase intention is significantly positively influenced by time flexibility, spatial flexibility, mobile lifestyle and ad relevance. Meanwhile, ambivalence toward ads mediates the relationships of time flexibility and spatial flexibility with purchase intention and moderates the relationships of mobile lifestyle and ad relevance with purchase intention.

The findings offer researchers and practitioners a new angle to understand advertising effectiveness on mobile social media and extend the application of the fit-viability model.

This paper fills the research gap on the role of mobility in social media advertising.

Mobile commerce is a broad term used for mobile banking, mobile ticketing, mobile coupons, purchasing of goods and services using mobile phones. Considering mobile penetration and changing lifestyles of the Indian population, it has huge potential. The purpose of this paper is to investigate the factors influencing the adoption intention of mobile commerce.

For the study, a research model was developed based on constructs from the technology acceptance model and innovation resistance theory and a literature review on research related to usage intention of similar technologies which was then empirically tested using second generation statistical technique of SEM.

Perceived usefulness, perceived ease of use and social influence are found to be significant dimensions of technology adoption readiness to use mobile commerce while facilitating conditions were not found to be significant. The results also indicate perceived credibility risk defined by security risk and privacy risk is significantly associated with behavioural intention in negative relation, which indicates that security and privacy concerns are important in deterring customers from using mobile commerce.

This study proposed and validated a new construct – technology adoption readiness. The study developed an integrated model for behavioural intention towards financial innovations.

Knowing the factors affecting customers' behaviour towards mobile commerce and the relationship between these factors, various banks, merchants and mobile service providers can develop their marketing strategies to ensure that people use this new service. This in turn will influence the behavioural intention and change these intentions to actual adoption of this new technology.

This study is one of the few empirical studies which have investigated the adoption of mobile commerce in India, which is considered one of the fastest growing countries in terms of mobile usage. The study relates to inclusion of both utilitarian and credibility aspect of adoption intention. It gives an empirical basis on which mobile and banking companies can base their mobile payments marketing strategy.

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve sustainable competitive advantage. The purpose of this paper is to investigate what and how the user attitude to change influences members' behavioral support for incremental technological change in mobile social media service.

Using the tripartite model of attitude, this study examines the influence of the cognitive aspect (empowerment with change), affective aspect (arousal with change) and behavioral aspect (habit to change) of attitude toward change on members' behavioral support for incremental technological change. Drawing on the commitment to change theory, we assessed the underlying mechanism by which attitudes toward change influences behavioral support for incremental technological change through the two components of commitment to change (i.e. affective and normative commitment to change). We tested the model using structural equation modeling on the data collected from the popular mobile social media services in China.

Our results indicate that the effect of empowerment with change, arousal with change and habit to change varies with different dimensions of commitment to change and significant influence of commitment to change on members' behavioral support for incremental technological change.

The findings of this study contribute to better insights for services providers for implementing incremental technological change strategies.

This study contributes to the theory of incremental technological changes by empirical examination of the impacts of users' attitudes toward change on members' behavioral support for incremental technological change in mobile social media. The paper extends the commitment to change theory with the discussion of the mediating effect of commitment to change in the continuing members' behavioral support for incremental technological change in mobile social media.