Investigating Antecedents of Behavioral Intentions in Mobile Commerce

ABSTRACT

Despite the importance of mobile commerce (m-commerce) as an emerging channel of communication, marketing, and sales in business, few studies address how consumers decide to use m-commerce. In this study, we develop a conceptual framework for investigating the role of the perceived ease of use, perceived usefulness, and perceived enjoyment in determining consumers' intention to use m-commerce. We also investigate the importance of social influence in determining intention to use m-commerce. We draw on the Technology Acceptance Model (TAM) to develop our theoretical model. The empirical examination of our research model indicates that extrinsic and intrinsic motivations positively impact intention to use m-commerce. The current research model and its results could provide a rigorous basis for understanding consumers' behavior in wireless contexts.     

An integrated attitude model of self-service technologies: evidence from online stock trading systems brokers

This study develops an integrated causal path analysis, based on both category-based affect theory and the technology acceptance model (TAM), to identify the antecedents of consumers' attitudes toward self-service technologies. Using online stock trading systems as an example (N?=?267), this study employs structural equation modeling to confirm the research structure. The results reveal that consumers' attitudes toward self-service technologies depend on their attitude toward technologies and attitude toward self-services, in support of category-based affect theory. Further, computer self-efficacy and network information literacy positively influence attitude toward technologies, and both perceived ease of use and perceived usefulness positively influence attitude toward self-service technologies, which were proposed in the two theories, were also found. Therefore, this study suggests that integrated attitude model of the category-based affect and TAM can be applied to properly explain the attitude forming toward self-service technologies, and can be fruitful for future research on the diffusion of Internet-based technological systems.     

Why Do Consumers Go Internet Shopping Again? Understanding the Antecedents of Repurchase Intention

Consumer intention of reusing online websites for shopping is a major consequence for an electronic commerce company's profitability. Therefore, understanding the factors that influence online customers' repurchase intentions is of great importance to the EC companies. Drawing on specific dimensions of Social Cognitive Theory (SCT), Information Systems continuance model, Technology Acceptance Model (TAM), and empirical findings from prior studies as antecedents, the related factors were adapted and integrated within the context of Internet shopping repurchase intentions and were tested in a field study. Empirical data for hypotheses testing were collected from the online virtual store of 7-ELEVEN in Taiwan, yielding 444 valid samples. The results show that online consumer repurchase intention is determined by satisfaction, perceived usefulness, perceived ease of use, and Internet shopping self-efficacy. Satisfaction is influenced by perceived usefulness, perceived ease of use, confirmation, and positive Internet shopping experience. Perceived usefulness, in turn, is influenced by behavior modeling, positive Internet shopping experience, Internet shopping self-efficacy, and confirmation. Confirmation is affected by positive Internet shopping experience and behavior modeling. In addition, confirmation has significant effects on perceived ease of use. Finally, positive Internet shopping experience appeared to have a significant impact on Internet shopping self-efficacy. From the empirical data, meaningful findings and conclusions are derived, and suggestions for future research are also discussed.     

Investigating the factors influencing small online vendors’ intention to continue engaging in social commerce

ABSTRACT

This study investigates the variables that determine small online vendors’ intentions to continue engaging in social commerce. Based on the theory of planned behavior (TPB) and social exchange theory (SET), eight hypotheses were developed to (1) identify the antecedents that influence small online vendors’ attitudes toward social commerce, subjective norms, and perceived behavioral control; and (2) examine the causal relationships among the variables with respect for continuous usage intention. A questionnaire survey was used to collect data on a sample of 166 small online vendor managers and employees. Partial least squares (PLS) was used to validate the proposed model. The findings show that social exchange factors (perceived benefits and commitment) significantly affect small vendors’ attitudes toward social commerce. The results further confirm the validity of TPB, i.e., attitude and perceived behavioral control have significant impacts on continuous usage intention in relation to social commerce. The findings of this study provide important insights into the antecedents of attitude for academics and practitioners, application of social computing in commerce for engaging in service innovation, and have the potential to contribute to the development of effective online marketing strategies.     

Enhancing the role of flow experience in social media usage and its impact on shopping

Online retailers are eager to find the answers to the following questions: How relevant is SNS usage to consumer shopping decisions? Is the information shared on SNS likely to influence users’ shopping decisions? This study is designed to answer these questions via essential factors based on flow theory and TAM. The moderating effects of some social factors were also explored. The data was collected from U.S SNS users, and SEM was performed and a research model estimated. The findings reveal that flow experience of SNS usage for shopping, perceived ease of use of SNS, and perceived usefulness of information shared on SNS exert positive and significant effects on consumer intention to shop on SNS. Particularly, flow experience directly and positively determines shopping intention and shares positive and significant impacts with TAM. Furthermore, the perceived usefulness is highly important relative to the perceived ease of use. Social identity, group norm, and social influence also positively moderate the links between flow experience, TAM, and SNS usage intention for shopping. Very few theoretical studies have discussed SNS usage behavior for shopping based on flow theory or validated its relationship with TAM in the SNS shopping context. A validated model of consumers’ actual usage of SNS for shopping proves that experience drives the success of social commerce. The findings provide current information and important aspects to firms that operate SNS commerce, allowing them to adjust their marketing strategies to serve consumers better.     

Augmented reality shopping application usage: The influence of attitude,value, and characteristics of innovation

Consumers' intentions are crucial to the wide usage of augmented reality shopping applications (ARSAs). Combining innovation diffusion, perceived value, and attitude theories, this study proposes a theoretical model that identifies the antecedents of consumers' innovation to use ARSAs and specifies their interrelationships. A total of 379 consumers were surveyed using questionnaires, and the data were analyzed through confirmatory factor analysis and structural equation modeling. Results show that the effects of the perceived relative advantage, perceived compatibility, and perceived observability on consumers' intentions to use ARSAs are mediated by consumers' attitudes toward ARSAs. In addition, attitudes have an indirect impact on consumers' intentions to use ARSAs through perceived value. Theoretically, this study synthesizes behavioral theories anchored on innovation and marketing to explain consumer's use intention. Managerially, this study provides strategic recommendations for technology companies developing ARSAs and retailers wishing to adopt ARSAs.     

Shopping intention at AI-powered automated retail stores (AIPARS)

Artificial Intelligence (AI) is transforming the way retail stores operate. AI-Powered Automated Retail Stores are the next revolution in physical retail. Consumers are facing fully automated technology in these retail stores. Therefore, it is necessary to scrutinize the antecedents of consumers' intention to shop at AI-Powered Automated Retail Stores. This study delves into this area to find the predictors of consumers’ intention to shop at AI-Powered Automated Retail Stores. It extends the technology readiness and acceptance model by the addition of AI context-specific constructs such as Perceived Enjoyment, Customization and Interactivity from the present literature. The proposed model is tested by surveying 1250 consumers & the data is analyzed using the PLS-SEM technique and empirically validated. The outcome of the study reveals that Innovativeness and Optimism of consumers affect the perceived ease and perceived usefulness. Insecurity negatively affects the perceived usefulness of AI-powered automated retail stores. Perceived ease of use, perceived usefulness, perceived enjoyment, customization and interactivity are significant predictors of shopping intention of consumers in AI-powered automated stores. This research presents insightful academic and managerial implications in the domain of retailing and technology in retail.     

Consumers’ channel choice for university-licensed products: Exploring factors of consumer acceptance with social identification

This research investigated a modified-technology acceptance model (TAM) with two added antecedents (e.g., information search motivation and perceived risk) to examine whether online shopping channels would be adopted by college students, the main target market of university-licensed products (ULP). Moreover, this study tried to adopt the social identity theory to fit a modified TAM model to explain the role of identification with a university on the attitude toward shopping for collegiate products. This research surveyed college students from two large Midwestern universities and utilized structural equation modeling (SEM) to test the hypotheses in a conceptual framework. As expected from previous TAM research, two specific behavioral attributes explained students’ adoption of online channels. Moreover, the results showed that both information search motivation and perceived risk have significant positive effects on attitude toward shopping via online channels. Specifically, the students who have strong information search motivation from concerns about online shopping had a higher level of online channel purchase intention. In addition, the attitude toward ULP online shopping formed by the antecedents gave a different level of purchase intention about the multiple distribution channels. The results suggest that retailers in the ULP industry should build efficient multi-channel strategies by adopting online channels.     

Antecedents of consumer attitudes toward mobile marketing: A comparative study of youth markets in the United States and China

The purpose of this study is to examine factors influencing consumers' attitudes toward mobile marketing across two major markets—the United States and China. Drawing upon the technology acceptance model (TAM), the theory of reasoned action (TRA), and the perceived characteristics of innovations theory (PCI), we develop and test a conceptual model examining the joint influences of TAM constructs (perceived ease of use and perceived usefulness) and individual characteristics (personal attachment, innovativeness, risk avoidance, and privacy concern) and on consumer attitudes toward mobile marketing practices. Focusing on youth consumers, we empirically test the model using data collected in an established (United States) and an emerging market (China). Findings across these two markets reflect cross‐market similarities and differences related to consumers' attitudes toward mobile marketing. © 2012 Wiley Periodicals, Inc.     

The determinants of Women's redemption of geo-targeted m-coupons

This research has two objectives. First, it examines the determinants and consequences of attitude toward geo-targeted mobile coupons (hereafter, m-coupon). Second, it studies the effect of coupon value and store brand preference on women's intention of visiting a store and redeeming geo-targeted m-coupons. Using a scenario method and an online questionnaire, data are collected from 693 women students. The results support the influence of fear of spam on m-coupon usefulness, perceived privacy risks, m-coupon proneness, ease of use, and perceived product utility. The findings also confirm the effects of perceived usefulness of m-coupons, perceived privacy risk, m-coupon proneness, perceived ease of use, and perceived product utility on women's attitudes toward fashion-related m-coupons. In turn, attitude influences intention of visiting the store and intention of redeeming the m-coupon. M-coupon value and store brand preference significantly affect intentions of redeeming the m-coupon and visiting the store.     

Consumer e-shopping acceptance: Antecedents in a technology acceptance model

This study integrates e-shopping quality, enjoyment, and trust into a technology acceptance model (TAM) to understand consumer acceptance of e-shopping. Online surveys with college students (n = 298) were conducted. E-shopping quality for apparel products consists of four dimensions: web site design, customer service, privacy/security, and atmospheric/experiential. A structural equation model reveals that e-shopping quality determines perceptions of usefulness, trust, and enjoyment, which in turn influence consumers' attitudes toward e-shopping. Consumer perceptions of usefulness and attitude toward e-shopping influence intention to shop online, while perceived ease of use does not influence attitude toward e-shopping. Shopping enjoyment and trust play significant roles in consumers' adoption of e-shopping. This study provides important implications for e-tailers whose web site developers must keep in mind that customers are not only web users with trust/safety and information needs, but also shoppers with service and experiential needs.     

Enjoyment and social influence: predicting mobile payment adoption

Models of technology adoption, notably the Technology Acceptance Model and the Unified Theories of Acceptance and Use of Technology, provide good theoretical foundations for understanding mobile payment adoption. This study extends these frameworks by incorporating perceived enjoyment, social influence, knowledge and perceived risk. Replications of established theories are tested in a new context of young people's adoption of mobile payment. Subsequent hypotheses test an extended theoretical framework using an online survey (N?=?316). The extended model improves previous models by explaining 62% of variation in intention to use. Against expectations, perceived ease of use had no significant effect on perceived usefulness and intention to use. The study contributes to advancing understanding of perceived enjoyment which had no direct effect on adoption intention but a significant effect on perceived ease of use and usefulness. Social influence reduces perceived risk, and further contribution is made by noting that perceived enjoyment lowers perceived risk.     

Exploring factors influencing US millennial consumers’ use of tap-and-go payment technology

ABSTRACT

Although mobile payment (MP) represents a possibility for traditional brick-and-mortar US retailers to enhance the quality of customer service, mobile payment adoption in the US has lagged, with research regarding this phenomenon in the US seemingly in its embryonic stage. The current study contributes to the literature on mobile payment adoption in the US by investigating the factors on US millennial consumers’ use of mobile payment technology, operationalized in the study as tap-and-go payment systems. The study mirrors a study of the acceptance of mobile shopping technology among German consumers, with some extension. The study incorporated mobile payment risk perception, system trust, and socio-cultural influence into an extended technology acceptance model (TAM) to explore this issue. Results from a survey conducted among 357 US Millennials indicate that perceived ease of use of MP (PEOUMP); perceived usefulness (PUMP); and risk perception all influence attitude toward mobile payment (AttMP). System trust, socio-cultural influence, and AttMP all influence MP use intention. The paper discussed the limitations of the study and future research directions.     

Understanding the intention to use mobile shopping applications and its influence on price sensitivity

This study employs an extended technology acceptance model (TAM) and the theory of diffusion of innovations (DOI) to understand the intention to use mobile commerce applications for shopping purposes. The variables—perceived enjoyment, perceived risk and personal innovativeness—were added to the original model. The price sensitivity criterion was predicted using the variables—perceived risk, personal innovativeness, satisfaction and the intention to use. An online questionnaire was circulated nationwide through email to verified e-commerce users and a sample of 675 respondents was taken for analysis through structural equation modeling approach. Gender, experience and frequency of using mobile shopping applications were used as moderators for all relationships. Findings of this study reveal that personal innovativeness and perceived risk play a major role in deciding the intention to use mobile shopping applications. Users who are highly innovative and with a higher intention to use mobile shopping applications are less sensitive to price. Various managerial implications including applications to differential pricing, improving adoption pace and segmenting consumers to design marketing strategies are discussed.     

Elucidating trust-building sources in social shopping: A consumer cognitive and emotional trust perspective

With the popularity and growth of social commerce, scholars and practitioners are particularly interested in how the integration of social media with e-commerce practice may resolve the challenge related to developing consumer-seller trust. Adopting a cognitive-emotional trust perspective, this study investigated the process by which consumers' trust in seller builds in a social commerce setting. Specifically, perceived familiarity, situational normality, cognitive and emotional trust in platform, and social interactivity were proposed as key antecedents of consumers' cognitive and emotional trust in seller. The model was examined with two complementary data sets collected from leading social commerce platforms in China: WeChat Store (N = 430) and Xiaohongshu (N = 397). This work advances the theoretical understanding of consumer's social shopping intention through extending the cognitive-emotional trust perspective and lends insights into the contextualized sources of trust building. In addition, these findings offer practical implications that help practitioners cost-effectively build consumer trust in the social commerce setting.     

Modeling consumer engagement on social networking sites: Roles of attitudinal and motivational factors

This paper reports on a study that seeks to assess an extended typology of consumer social networking engagement behaviors. Drawing on uses and gratifications theory, this study assesses consumer engagement with social media, where consumer engagement incorporates consumer responses to marketing communications. The paper argues that certain motivations for social media use serve as antecedents to general attitudes toward social networking sites, which subsequently affects attitudes toward marketers' social networking sites. These attitudes then influence subsequent consumer engagement behaviors. The results show that social facilitation motivation, participating and socializing motivation, and information motivation positively influence consumers' general attitudes toward social networking sites, which had a strong effect on their attitude toward marketers' social networking sites. The relationship between attitudes toward social networking sites and engagement with social networking sites was mediated by attitudes toward marketers’ social networking sites also mediated. The current study brings together the online advertising perspective and the consumer motivation/gratifications perspective of using social media in branding and marketing into a conceptual model that holds up to empirical testing. The paper ends with a discussion of some limitations of the study and proposes avenues for future research.     

Social commerce website design,perceived value and loyalty behavior intentions: The moderating roles of gender,age and frequency of use

Drawing on the stimulus-organism-response (SOR) framework, a model is tested that improves the understanding of customer loyalty toward social commerce websites. The results showed that: information and service quality are key antecedents of perceived value, whereas rewards and recognition, and customization are non-significant. Perceived value is an important driver of customer loyalty toward these websites. The model's relationships are affected by gender and frequency of use. Overall, the findings of this study extend the understanding in the social commerce context of: (i) the antecedents of customer perceived value and behavioral intentions; and (ii) the moderating effects of age, gender and frequency of social commerce use on the model relationships.     

Sensory enabling technology acceptance model (SE‐TAM): A multiple‐group structural model comparison

Sensory enabling technology (SET) can deliver product information that is similar to the information obtained from direct product examination, thus reducing product risk. In addition, the interactivity and customer involvement created by sensory enabling technologies can enhance the entertainment value of the online shopping experience. The proposed model examined this dual role of sensory experience enablers in the online soft goods shopping process for three types of sensory enabling technologies that are widely applied in online retail sites. The results provided empirical support for perceived usefulness and perceived entertainment value as strong predictors of consumers' attitudes toward using all three of the sensory enabling technologies tested in this study. The impact of perceived ease of use differed by technology. Attitudes toward using sensory enabling technologies had a significant impact on the actual use of all three SETs; however, the impact of technology anxiety and innovativeness on the use of SET also appeared to differ by technology. Virtual try‐on played a strong hedonic role, increasing the entertainment value of the online shopping process, whereas 2D views (larger view and alternate views) showed a strong functional role. The 3D rotation view served both functional and hedonic roles. The results indicate that each sensory enabling technology makes a unique contribution to online shopping—either by reducing product risk perceptions or by increasing perceived entertainment value. © 2008 Wiley Periodicals, Inc.     

Cash,credit, or phone? An empirical study on the adoption of mobile payments in the United States

The purpose of this study is to investigate the effects of consumer factors on behavioral intention to adopt mobile payments. We focus on the proximity mobile payment, which is made feasible by the near-field communications (NFCs) technology. Building upon the theory of reasoned action and technology acceptance model (TAM), a behavioral intention model was established consisting of enhanced cognitive antecedents as well as affective and social antecedents. Cognitive antecedents encompass the factors including relative advantage, perceived usefulness and ease of use in the TAM, and technology characteristics (e.g., responsiveness and mobility); affective antecedents focus on positive and negative emotions associated with using NFC mobile payments. Both antecedents are expected to affect attitudes. In addition, social antecedents examine subjective norms and the influence of network externalities. Data were collected from 394 adult nonusers of NFC mobile payments in the United States via an online survey. The research model was tested using structural equation modeling. The results showed that all three antecedents significantly affected individual consumers’ intention to adopt NFC mobile payments, explaining a significant amount of variance. Both theoretical and marketing implications are discussed in the context of NFC mobile payments.     

Checkout button and online consumer impulse-buying behavior in social commerce: A trust transfer perspective

To enhance social media users' shopping experiences, social media platforms launched an online shopping feature – the checkout button –allowing users to browse new products, examine items via multiple photos and videos, and purchase items without leaving the platform. Yet, few studies have examined the impacts of the ‘checkout button’ on social commerce users' perceptions and impulse-buying behaviors. Thus, this study seeks to investigate the impact of the ‘checkout button’ on consumers' trust and impulse-buying behavior based on the trust transfer theory, as well as how the impact will differ based on social factors and brand familiarity in social commerce. This study provides valuable insights into social commerce. Checkout within Instagram does not facilitate impulse-buying behavior, but brand familiarity and social factors influence consumer trust and impulse-buying intention. This indicates that well-known brands might be more suitable for social commerce. Furthermore, active social interaction is conducive to impulse-buying intentions in social commerce.