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The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.

An enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories (i.e. theory of reasoned action, Technology acceptance model and diffusion of innovation theory). The investigated factors included nine independent variables – perceived usefulness (PU), perceived ease-of-use, subjective norm (SN), personal innovativeness traits, security and privacy concerns, compatibility, observability, trust and past non-store shopping experience (PE), and five control variables – age, gender, education level, income level and ethnicity. The dependent factor is consumer’s intention to use (IU) apparel m-commerce. The primary data were gathered by an online survey of US consumers via Amazon Mechanical Turk. In total, 317 eligible responses were received. The applied statistical techniques were factor analysis and multiple regression analysis.

The results show that the US consumer’s IU apparel m-commerce is significantly affected by PU, SN, compatibility and PE and education level. Overall, 67.3 percent of variation in the US consumer’s IU apparel m-commerce is explained by the developed model, which suggests a high explanatory power.

Companies should provide those functions and features on their mobile websites that enable consumers to easily find the products wanted and complete transactions efficiently. Companies should particularly target the consumers with innovativeness traits and/or those having prior non-store shopping experience. Enhancing the trust in m-commerce among the US consumers with higher education level could help companies attract more potential users. Elderly, female or lower income consumers could be the next business opportunities for apparel e-tailers.

As one of the first efforts made to understand the emerging apparel m-commerce phenomenon, this study empirically determined the key factors influencing the US consumer’s IU apparel m-commerce.

Driven by Davis’s (1989) technology acceptance model (TAM) and Westaby’s (2005) behavioral reasoning theory (BRT), the purpose of this study is to develop and test a conceptual model and examine consumers’ acceptance of artificial intelligence (AI) chatbots for apparel shopping.

Data from 353 eligible US respondents was collected through a self-administered questionnaire distributed on Amazon Mechanical Turk, an online panel. Confirmatory factor analysis and path analysis were used to test all hypothesized relationships using the structural equation model.

The results show that optimism and relative advantage of “reasons for” dimensions have a positive and significant influence on perceived ease of use (PEU), while innovativeness and relative advantage have a positive and significant influence on perceived usefulness (PUF). Discomfort and insecurity have no significant impact on PEU and PUF. However, complexity has a negative and significant impact on PEU but not on PUF. Additionally, PEU has a positive influence on PUF. Both PEU and PUF have a positive and significant influence on consumers’ attitudes toward using AI chatbots, which, in turn, affects the intention to use AI chatbots for apparel shopping. Overall, this study identifies that optimism, innovativeness and relative advantage are enablers and good reasons to adopt AI chatbots. Complexity is a prohibitor, making it the only reason against adopting AI chatbots for apparel shopping.

This study contributes to the literature by integrating TAM and BRT to develop a research model to understand what “reasons for” and “reasons against” factors are enablers or prohibitors that significantly impact consumers’ attitude and intention to use AI chatbots for apparel shopping through PEU and PUF.

Mobile e-commerce has brought convenience to consumers. But for goods such as shoes, mobile e-commerce has failed to provide the same experience as consumers would have in physical stores, and that also causes problems for online merchants, such as high return rates. As a result, the augmented reality (AR) virtual shoe-try-on function appeared. The way that AR virtual shoe-try-on study different from other AR virtual try-on studies is that AR virtual shoe-try-on study only satisfies consumers' visual experience and consumers cannot judge whether the shoes are comfort or not. Whether consumers would accept AR virtual try-on function to help them make purchase decision due to the visual experience provided by AR virtual try-on function is worth discussion. Measuring users' perceptions and preferences can help companies design AR shoe-trying functions and provide services more cost-effectively.

To promote the continuous use and better development of such mobile e-commerce based on the technology acceptance model (TAM), this study explored the influencing factors for users' intentions to continue using the AR virtual shoe-try-on function, including the perceived usefulness, perceived ease of use, system quality, perceived playfulness and attitude.

The results of this study showed that TAM is a powerful theoretical tool of the new technology in mobile e-commerce and that the system quality and perceived playfulness also have a positive impact on the original variables of TAM. System quality and perceived playfulness are important predictors of users' continuance intentions to use the AR virtual shoe-try-on function.

The main contribution of this study to model iteration and theoretical update is to verify the applicability of the TAM in the AR shoe-try-on function and to expand TAM model with system quality and perceived playfulness. The authors' results will help shoe enterprises win users' recognition through AR shoe-try-on function and improve users' continuance intention of use.

Although East Asia and South East Asia have seen growth in mobile commerce activities, the uptake of such activities in Central Asia has been relatively low. For insight, the purpose of this paper is to investigate the impact of culture, innovation characteristics and concerns about order fulfillment on mobile commerce (shopping) intention in Central Asia.

In total, 779 questionnaires were collected (via mall-intercept method) from cities in Kazakhstan, Kyrgyzstan and Uzbekistan. The data were then subjected to two-step structural equation modeling procedures (using SPSS AMOS V.25) for hypothesis testing.

This study revealed that innovation characteristics, system-based trust (trust in mobile technology), and concerns about order fulfillment affected mobile commerce intention in Central Asia. The strong uncertainty avoidance characteristics of societies in the region mean potential adoptee place great emphasis on trialability and security of mobile commerce. Uncertainty avoidance correlated strongly with concerns about order fulfillment, thereby significantly impacting mobile commerce intention. Power distance and collectivism correlated with observability as factors affecting mobile commerce intention. The innovation characteristics of compatibility, complexity and relative advantage directly impact mobile commerce intention in Central Asia.

There are several limitations in this paper. First, the data in this study are limited to Kazakhstan, Kyrgyzstan and Uzbekistan. This might affect the generalization of this study’s findings across the whole Central Asia region. Second, the respondents in this study are exposed to mobile shopping for less than 30 min before been asked to complete the survey. This might affect respondent’s confidence in mobile commerce. Future study might involve the rest of Central Asia (Tajikistan, Afghanistan and Turkmenistan). Future study might also want to investigate the impact of Web assurance seal on mobile commerce intention in Central Asia.

Managerial/marketing implications and recommended strategies in this study would be useful for businesses (aspirant e-vendors) in Central Asia.

There is limited study about mobile commerce in Central Asia. Furthermore, extant literature on mobile commerce in the region lacked age varieties or lacked multi-national and logistical perspective. This is important given the wide geographical spread of the region. This study addressed these gaps by collecting data from all segments of society in Kazakhstan, Kyrgyzstan and Uzbekistan to test propositions regarding innovation characteristics, culture, and concerns about order fulfillment as factors impacting mobile commerce intention in Central Asia.

The purpose of this paper is to examine the impact of social commerce (s-commerce) cues (i.e. trust, compatibility, reliability and responsiveness) on repurchase intention in apparel s-commerce along with the mediating effect of customer engagement and the moderating effect of s-commerce navigation.

Using the purposive sampling technique, face-to-face survey was administered to Gen-Y social media users in Malaysia. Subsequently, 384 respondents were sampled. Partial least squares-structural equation modeling was used to perform the analyses.

S-commerce cues have a positive effect on customer engagement, which in turn leads to repurchase intention of apparel among Gen-Y. Particularly, customer engagement also mediates the relationship between s-commerce cues and repurchase intention. S-commerce navigation is found to moderate the effect of engagement on repurchase intention.

The findings are derived from the perception of Gen-Y in Malaysia and do not represent the entire population. Future research could investigate the same phenomena across generations and consider heterogeneity issues to provide more insights.

Apparel s-commerce retailers are suggested to engage with customers more in the e-retail environment to build a lasting relationship. Contextual factors such as ease of navigation should be observed to enhance the desired response of diverse customers today.

This study adds to the growing body of knowledge on relationship marketing by assessing the impact of customer engagement and navigation on the relationships between s-commerce cues and repurchase intention in the contemporary setting.

This research investigates apparel consumers' psychological and behavioral responses to omnichannel (OC) integration. Specifically, the study applies the cognitive–affective–conative (CAC) model to reveal consumers' decision-making process under the impact of channel integration quality (CIQ), perceived fluency (PF) and cognitive and affective trust (AT).

Primary data were collected through an online survey. In total, 657 eligible responses were received. This study applied partial least square structural equation modeling for data analysis.

The findings demonstrate that the extrinsic cognitive factor, CIQ, substantially affects consumers' intrinsic cognition (cognitive trust [CT] and PF), which consequently fosters consumers' AT and shopping intentions. Specifically, integrated promotion and transaction information positively affects CT, while integrated product and price and information access negatively impact CT. All the dimensions of CIQ, except integrated promotion (IP), significantly affect PF. CT and AT exhibit mediation effects in the CAC model.

Apparel brands and retailers may apply the findings to effectively design their retail channels and implement channel integration to boost consumers' shopping intentions and trust.

This study is one of the pioneering studies applying the CAC model to empirically examine OC consumers' decision-making process. It is also among the first to determine that cognitive and AT have theoretical distinctions in the OC retailing setting.

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

Data were collected from selected young adult participants using a stratified probability sampling strategy. Smart PLS was used to analyse the data.

The findings of the study indicate that perceived usefulness (PU), peer review (PR) and attitude (ATT) positively influence continuance intention (CI).

In line with the available literature, there are few prior post-adoption studies that delineate the influence of individual characteristics on digital commerce usage activities. There is high mobile penetration as a result of positive digital commerce and mobile application usage and adoption, creating the need to investigate and better understand the drivers behind, not just adoption and usage, but continued use of digital commerce platforms and applications. Since the sample size is relatively small, further future research studies can test the same model with bigger sample sizes to assess generalisability of the results in different locations.

This study adds to the current literature by concentrating on the extent to which systems and marketing elements influence young adult customers' intention to continue using online and mobile grocery shopping platforms in South Africa.

The study adds value from a theoretical standpoint, contributing to the antecedent factors of the technology acceptance model (TAM), theory of reasoned action (TRA) and stimulus-organism-response (S-O-R) model and giving marketing academics insights into what aspects drive re-use of online and mobile grocery shopping and on what should be the focus.

As satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from the internet. In this research, the authors followed two main objectives: (1) to identify factors influencing online satisfaction and (2) to determine the importance of the main determinants that explain online satisfaction in the retailing clothing sector.

The research combines qualitative and quantitative research methods. The authors used the focus group technique and a survey based on a questionnaire. For the first exploratory phase of the research, we conducted four focus groups with 21 women, 18–39 years old, who have at least two years experiences as online buyers and who made at least two acquisitions for clothing products in the past six months, from the same website. The purpose of this qualitative method was to understand the young women's perception about online satisfaction and to collect items to be included in the questionnaire. For the second quantitative phase of this study, the sample consisted of 241 participants. To analyse the data, two different types of inferential analysis were used: factor analysis (for identifying the factors that compose online customer satisfaction) and analysis of regression (to determine the most important factors that determine and predict online buyers' satisfaction).

The main results indicate that the significant factors determining a satisfactory experience in an e-retailing market are: good deal (savings), product expectations, customer service and website reputation.

The study is more relevant in the current pandemic context, when the consumer’s behaviour has changed and online shopping has substantially increased. The research can be used by companies that sell clothing on the internet and are interested in increasing their financial results and also their customers' satisfaction.

The purpose of this study is to consolidate the state of research in mobile commerce (m-commerce) technology adoption from 2008 to 2017. This study not only reviews the evolution of m-commerce literature but also highlights the significant contribution of authors and their productive collaborations in the development of this area.

A total of 184 peer-reviewed articles focusing on m-commerce adoption were obtained after applying search criteria on Scopus database. After using inclusion and exclusion criteria to achieve the objective of this study, 86 journals were shortlisted. The study further discusses the dispersion of various m-commerce applications being explored in m-commerce literature. In addition, dominating technology adoption theories and the most used keywords have also been identified and discussed in this study.

This study indicates that technology acceptance model and unified theory of acceptance and use of technology are the most exploited technology adoption theories. Moreover, the dominating constructs in literature are perceived usefulness, ease of use social influence/social norm on behavior intention, attitude intention followed by performance expectancy, facilitating condition and effort expectancy influence on intention.

This study presents a detailed association rule mining and community analysis to show the association among constructs such as usefulness, ease of ease, social influence and intention as dominant group in this area. The study also identifies lesser explored constructs and indicates possible future research to validate and strengthen their understanding further.

Service providers have a vested interest in enhancing adoption of technologies that improve the customer service experience. Buoyed by this idea, this paper aims to explore Latin American consumers’ mobile payment (MP) adoption, conceptualized as bank-sponsored mobile wallets that facilitate payment at the point-of-purchase. This paper applies a revised unified theory of acceptance and use of technology 2 (UTAUT2) model as theoretical framework for this exploration.

To test the conceptual model of MP adoption in Latin America put forward in this paper, the authors used Colombia as a sample site and conducted two studies among a sample of consumers in this country. Completed questionnaires from 186 participants (Study 1) and 398 participants (Study 2) were used in data analyses, which were conducted using Mplus 8.4 and PROCESS.

In Study 1, performance expectancy, social influence, bank trust, confidence in MP system and consumer innovativeness all impact consumers’ MP use intention; and use intention impacts MP behavior. In Study 2, involving a wider sample, performance expectancy, effort expectancy, facilitating conditions, perceived quality of the MP system, bank trust, consumer innovativeness, consumer optimism and consumer insecurity all affect MP use intention; and use intention significantly impacts MP behavior. Across both studies, follow-up analysis showed that effort expectancy influences performance expectancy for MP and indirectly influences MP use intention through its impact on performance expectancy. Bank trust also indirectly affects MP use intention through its effects on system confidence. In Study 2, age did not affect MP use intention or MP use; however, education affected MP use.

The theoretical underpinning for the conceptual model was the UTAUT2, and the results across the two studies support previous research in which this revised model has been useful in explaining technology adoption. Core elements of the UTAUT2 such as performance expectancy, effort expectancy, facilitating conditions and social influence had different impact on MP adoption in Latin America, depending on the sample. Technology readiness index motivators and inhibitors also aid understanding of MP adoption.

The research provides insights on the variables that members of the MP ecosystem in Latin America (e.g. banks and other service providers, card issuers) need to address in getting Latin American consumers to use MP.

This research extends the exploration of MP to a region of the world that has not been the focus of prior studies on the adoption of this technology and responds to calls by some researchers to increase research in this region. The conceptual models in the two studies also incorporate trust in the banks that are part of the MP ecosystem in Latin America and consumer overall confidence in this MP ecosystem. The results show that both these factors are influential in Latin American consumers’ adoption of MP. System confidence also mediates the relationship between bank trust and MP use intention.