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.     

E-Mail and V-Mail Usage: Generalizing Across Technologies

Many researchers and practitioners describe electronic mail (e-mail) and voice mail (v-mail) together and assume that their usage and impacts are similar. However, empirical evidence on the issue is mixed. For example, whereas some research found similar relations to hold across both e-mail and v-mail, other research presents evidence suggesting that e-mail and v-mail are used differently and their impacts are distinct.

This research investigates whether theories derived and tested with respect to e-mail are generalizable to v-mail. Specifically, the research examines whether the antecedents of e-mail use are different than the antecedents of v-mail use. To do so, the research tests a theoretical model for both e-mail and v-mail usage in the same organization. This model expands the technology acceptance model (TAM) to incorporate antecedents of perceived usefulness (PU) and perceived ease of use (PEU). These antecedents, which are based on theories of communications media choice and use, include social influence about usage of the medium, social presence of the medium, physical and informational accessibility of the medium, media style, and availability of training and support on use of the medium.

Results indicate important differences between antecedents of e-mail and v-mail usage, in both the determinants of system use and in the determinants of PU and PEU. Specifically, the relations between use and beliefs appear to be more complex than originally proposed in TAM. The effect of social influence on use and its relation to beliefs differ across the two media, suggesting that strong social norms may have a moderating effect on the relation between beliefs and use.     

An Alternative Lens for Understanding Technology Acceptance: An Equity Comparison Perspective

Many studies of technology acceptance have noted that new technology can have far-reaching effects, dramatically changing the environment (e.g., work, home, school) in which we use the technology. The current research considers an equity comparison perspective on technology acceptance and usage in the context of online discussion tools based on the equity implementation model (EIM). The EIM applies equity theory to assess user net outcomes related to adopting new technology in comparison to the net outcomes of other technology stakeholders. Facilitating conditions with the new technology are investigated as a moderating factor on intentions and usage. Equity theory and social comparisons provide an alternative lens for understanding technology acceptance that may capture broader issues related to the changes resulting from new technology. This research describes what we believe to be a first effort to operationalize social comparisons of equity in the context of technology acceptance. A survey instrument measuring social comparisons of net outcomes is developed, and a longitudinal, empirical study is conducted in the context of online discussion forums. The research model is also investigated within a nomological network of technology acceptance constructs. The results indicate that the model provides explanatory power comparable to existing models of technology acceptance and that outcome comparisons provide unique insight beyond known determinants of intentions and usage.     

Integrating technology readiness into technology acceptance: The TRAM model

Based on previous theoretical streams, the present study integrates technology readiness (TR) into the technology acceptance model (TAM) in the context of consumer adoption of e‐service systems, and theorizes that the impact of TR on use intention is completely mediated by both perceptions of usefulness and ease of use. TAM was originally developed to predict people's technology‐adopting behavior at work environments, but this research stemmed from a questioning of its applicability in marketing (i.e., non‐work) settings. The differences between the two settings are exhibited by consumers' self‐determining selection behavior and their high involvement in the e‐service creation and delivery process. This paper first reviews the TAM and the construct of technology readiness, and then proposes and empirically tests an integrated Technology Readiness and Acceptance Model (TRAM) to augment TAM by taking technology readiness construct into the realm of consumers' adoption of innovations. The results indicate that TRAM substantially broadens the applicability and the explanatory power of either of the prior models and may be a better way to gauge technology adoption in situations where adoption is not mandated by organizational objectives. Further, theoretical and practical implications and future research directions are discussed. © 2007 Wiley Periodicals, Inc.     

Web retailing adoption: exploring the nature of internet users Web retailing behaviour

The interaction of consumers and marketers within the Web environment, particularly for retailing/purchasing is a growing area of importance. This paper focuses on examining Internet users adoption of the Web for retail usage. It uses the Technology Acceptance Model Davis (Int. J. Man-Mach. Studies 38 (1993) 475) as a theoretical foundation to explore adoption of this technology for retail usage. The study also adds what are argued to be key consumer characteristics such as Opinion Leadership, Impulsiveness, Web Shopping Compatibility, Internet Self-Efficacy, Perceived Web Security, Satisfaction with web sites, and Shopping Orientation to understand the adoption of Web retailing by Internet users’. A Web based survey was developed and administered, yielding 392 responses. The findings indicate that TAM is a valid theoretical framework to understand users adoption of the Web for retail purposes. Also Internet users’ perceived usefulness and perceived ease of use were effected differentially by Opinion Leadership, Web Shopping Compatibility, Internet Self-Efficacy, Perceived Web Security, Impulsiveness, Satisfaction with web sites, and Shopping Orientation.     

Antecedents and Consequences of Consumers' Attitude toward Social Commerce Sites

Drawing upon technology acceptance model (TAM), this study investigates the antecedents and consequences of consumers' attitude toward social commerce sites. In addition to the antecedents of perceived usefulness and perceived ease of use from TAM, the study includes such factors as perceived trust, perceived shopping enjoyment, perceived shopping risk, and perceived social presence. The study results suggest that consumers' attitudes toward social commerce sites are significantly impacted by perceived usefulness, perceived ease of use, perceived shopping enjoyment, and perceived shopping risk. The study also finds that consumers' attitudes toward social commerce sites significantly influence the effects of e-word-of-mouth (eWOM) intention, intention to return, and e-purchase intention. This study provides an integrative approach to evaluating antecedents and consequences of consumers' attitude toward social commerce sites. Limitations and future research are discussed.     

Factors Affecting Information Technology Usage: A Meta-Analysis of the Empirical Literature

With an estimated investment of over 1 trillion dollars to date on information technology (IT) products and applications, one would hope that there exists a corresponding improvement in organizational performance and productivity. The level of IT usage has widely been accepted as an important indicator of IT success within organizations. This research synthesizes and validates the construct of IT usage using a meta-analysis. It accomplishes that by analyzing the empirical results of various studies over a period of time covering a broad scope of characteristics of both users and information systems (IS), and it examines the relation between these characteristics and the level of IT usage within organizations. In general, the results of this meta-analysis lead to the conclusion that there exists a strong and significant positive relation between the perception of ease of use and the perceived usefulness of an IT system to the actual amount of usage. Another factor that indicates a high level of IT usage is the organizational support of IT within an enterprise. Although the factors of education level, training level, and professional level were found to have a substantial effect on IT usage, the magnitude of these effects were lower than those of the perceptions of the user and organizational support. Managers and IT professionals may have a better chance of avoiding IT system ineffectiveness and even failure by paying attention to the results of this research, especially in view of the fact that it synthesized and validated the results of a significant number of empirical studies published in some of the best IS journals. Rarely do single research experiments provide definitive answers on which to base policy decisions.     

Chatbots in retailers’ customer communication: How to measure their acceptance?

Currently, online retailers evaluate whether chatbots—software programs that interact with users using natural languages—could improve their customers' satisfaction. In a retail context, chatbots allow humans to pose shopping-related questions and receive answers in natural language without waiting for a salesperson or using other automated communication forms. However, until now, it has been unclear which customers accept this new communication form and which factors determine their acceptance. In this paper, we contrast the well-known technology acceptance model (TAM) with the lesser known uses and gratifications (U&G) theory, applying both approaches to measure the acceptance of the text-based “Emma” chatbot by its target segment. “Emma” was developed for the prepurchase phase of online fashion retailing and integrated into Facebook Messenger by the major German online retailer Zalando. Data were collected from 205 German Millennial respondents in a usability study. The results show that both utilitarian factors such as “authenticity of conversation” and “perceived usefulness,” as well as hedonic factors such as “perceived enjoyment”, positively influence the acceptance of “Emma”. However, privacy concerns and the immaturity of the technology had a negative effect on usage intention and frequency. The predictive power of both models was similar, showing little deviation, but U&G gives alternative insights into the customers’ motivation to use “Emma” compared to the TAM.     

E-Government Portal Characteristics and Individual Appeal: An Examination of E-Government and Citizen Acceptance in the Context of Local Administration Portals

E-government applications have become an important interface between citizens and public administration. However, quantitative research on e-government usage shows a tendency toward generic research models and in part lacks statistical rigor. Especially mediating conditions are often not taken into account appropriately. This contribution addresses this gap and provides a conceptually extended model of technology acceptance in the context of online city portals. The proposed model is tested with a large sample (n = 1,273) using structural equation modeling. Ease of use, usefulness, and privacy were found to be determinants of e-government portal acceptance, which in turn determines continuance intention of e-government portals. Furthermore, Internet competence and need for personal interaction were found to be direct determinants of continuance intention on the level of individual user appeal. The findings are discussed in terms of theory, and implications for public managers of online city portals are derived.     

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.     

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.     

International Consumer Attitudes Toward Cloud Computing: A Social Cognitive Theory and Technology Acceptance Model Perspective

The purpose of this article is to examine the factors affecting consumer attitudes toward cloud computing in the United States and Australia. The technology acceptance model and social cognitive theory are utilized to test relationships between technology acceptance model constructs (perceived ease of use and perceived usefulness) with individual characteristics that are shaped by environmental factors as part of social cognitive theory (consumer innovativeness, security concerns, performance expectations, and social networks) on consumer attitudes toward adopting cloud computing services. Consumers in the youth segment are used to test the hypotheses in two different countries (the United States and Australia). The results of the analysis indicate similarities and differences related to behavioral intentions and adoption behavior toward cloud computing services. © 2015 Wiley Periodicals, Inc.     

Consumer Acceptance of Cloud Computing

To date, little research has focused on the consumer's perspective of cloud computing acceptance. Thus, this article explores the drivers of voluntary consumer acceptance of cloud computing in a sample of Moroccan students. Results indicate that in addition to ease of use and perceived usefulness, structural trust is important for voluntary cloud computing acceptance. However, unlike prior studies, results indicate that perceived ease of use has a stronger effect on intention to use cloud computing, than perceived usefulness. The results of this study contribute to theory and provide strategies for cloud computing service providers to attract and retain individual consumers.     

Effective use of analytic DSS and job performance: Looking beyond technology acceptance

This study extends and test the work done on effective use of information systems (IS) by developing measures for this construct which expands the conceptualization of use beyond the popular technology acceptance model (TAM). Effective use posits dimensions of use (informed action, representational fidelity, and transparent interaction) which are intended to measure a user’s ability to effectively use an IS in a given context. Moving beyond simple adoption and use contexts is an important distinction that expands researcher’s and practitioner’s ability to assess usage effectiveness. In a work context, it is more important to have high performance and effective usage of systems in comparison to just having high usage rates. Therefore this study uses the context of analytic decision support systems (DSS) and tests the relationship between the proposed dimensions of effective use and job performance. A survey (N = 265) of executives with work experience using analytic DSS was conducted to maximize realism and generalizability. This study is the first to empirically test the proposed relationships of effective use to performance. Results indicate that informed action is a significant predictor of individual job performance. However, representational fidelity and transparent interaction are not significant predictors of job performance.     

Nanoimplants that Enhance Human Capabilities: A Cognitive‐Affective Approach to Assess Individuals’ Acceptance of this Controversial Technology

Nanotechnology enables the miniaturization of complex devices designed to enhance individuals’ physical and cognitive capabilities and, in the form of nanoimplants, their integration in the human body. It is unknown, however, whether people are willing or not to accept such devices. To shed light on this issue, this research used an extended version of the well‐known technology acceptance model (TAM), adding affective factors to the cognitive components already present in the model. Testing on a sample of 600 individuals yielded statistically significant effects on attitudes toward nanoimplants and intention to undergo nanoimplantation. Conclusions are drawn and implications are discussed.     

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.     

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.     

Beyond the technology adoption: Technology readiness effects on post-adoption behavior

Technology readiness (TR) refers to people's propensity to embrace and use new technologies. Nowadays, the proliferation of technology-based products and services brings consumers not only benefits but also frustration over ineffective use of products and services. A key factor, therefore, in the diffusion and success of these products and services is how well-prepared consumers are for new technologies. Although some studies examine the relationships between TR and technology adoption, the long-term survival and substantial success of firms rely on the continued use of such technology rather than first use. This study focuses on post-adoption behavior and investigates how TR affects the continued use intention of new technology. Specifically, the study classifies usage behavior into the usage rate of basic functions, the usage rate of innovative functions, and the variety of use of innovative functions. The article then, examines how each dimension (optimism, innovativeness, discomfort and insecurity) of TR influences consumer usage patterns, and how usage patterns affect repurchase intention through consumer satisfaction. The empirical results from IPTV users in Korea show that each dimension of TR has a significantly different influence on usage patterns. The findings show that usage patterns, particularly the use of innovative functions, have a significantly positive impact on consumer satisfaction and repurchase intention. Finally, the article suggests several managerial implications and directions for further studies.     

Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews?

Online reviews by users have become an increasingly important source of information. This is true not only for new users of goods or services, but also for their producers. They extend the insight into the acceptance of new goods and services, e.g. at the point of sale, from a mere sales and usage quantity oriented point of view to a cause and effect oriented one. Since online reviews by consumers of many goods and services are nowadays widespread and easily available on the internet, the question arises whether their analysis can replace the more traditional approaches to measure technology acceptance, e.g., using questionnaires with TAM (Technology Acceptance Model) items. This paper tries to answer this question using IKEA׳s mobile catalogue app as an example. For comparisons reasons, data on the acceptance of the current version of this catalogue is collected in four different ways, (1) as answers to batteries of TAM items, (2) as assignments to pre-defined adjective pairs, (3) as textual likes and dislikes of users (simulating online reviews), and (4) as publicly available (real) reviews by users. The source for (1)–(3) is a survey with a sample of respondents, the source for (4) an online forum. The data is analyzed using partial least squares (PLS) for TAM modeling and text mining for pre-processing the textual data. The results are promising: it seems that data collection via surveys can be replaced – with some reservations – by the analysis of publicly available (real) online reviews.     

Understanding the Determinants of User Acceptance of Enterprise Instant Messaging: An Empirical Study

As modern organizations increasingly depend on information systems (IS) to enhance work productivity and seek new business opportunities, communication effectiveness has become one of the key factors that underlie the effective performance of IS implementations and applications. Instant Messaging (IM) presents a revolution in enterprise communication. As more organizations are findings ways to utilize this near-synchronous computing communication technology to enhance communication effectiveness in the workplace, there is a compelling need to understand the factors that are important for the adoption of enterprise IM. We have developed an integrative model based on constructs of the existing IT adoption models as well as theories on motivation, innovation diffusion, and critical mass. Using responses from 140 intended subjects, we have found the results of survey data support the contentions that perceived usefulness, compatibility, enjoyment, and security are significant predictors of intention to use enterprise IM. Although perceived connectivity did not predict the intention directly, it did indirectly through perceived usefulness and perceived ease of use. Implications and future research are discussed.