Query: Enticing online consumers: an extended technology acceptance perspective

title: Enticing online consumers: an extended technology acceptance perspective
abstract: The business to consumer aspect of electronic commerce (EC) is the most visible business use of the World Wide Web (www) A virtual store allows companies to provide product information and offer direct sales to their customers through an electronic channel. The fundamental problem motivating this study is that: in order for a virtual store to compete effectively with both physical stores and other online retailers, there is an urgent need to understand the factors that entice consumers to use it. This research attempted to provide both theoretical and empirical analyses to explain consumers' use of a virtual store and its antecedents.By applying the technology acceptance model (TAM) and innovation diffusion theory (IDT) this research took an extended perspective to examine consumer behavior in the virtual store context. The data from a survey of online consumers was used empirically to test the proposed research model. Confirmatory factor analysis (CFA) was performed to examine the reliability and validity of the measurement model, and the structural equation modeling (SEM) technique was used to evaluate the causal model. The implication of the work to both researchers and practitioners is discussed.

title: Enticing online consumers: a technology acceptance perspective research in progress
abstract: Business to consumer aspect of electronic commerce (EC) is the most visible business use of the World Wide Web (WWW) A virtual store, simply stated, is "a storefront in cyberspace, a place where customers can shop from their home computers and where merchants can offer merchandise and services for a fraction of the overhead required in a physical storefront"  It allows companies to offer direct sales to their customers through an electronic channel  The fundamental problem motivating this research study is that in order for a virtual store to compete effectively with both physical stores and other online retailers, there is an urgent need to understand the factors that entice consumers to use a virtual store. This research aims to provide both theoretical and empirical analysis to explain consumers' use of a virtual store and its antecedents. By applying the Theory of Reasoned Action (TRA) and Technology Acceptance Model (TAM) this research takes a technology acceptance perspective to examine consumer behavior in virtual store context. The data from a survey of online consumers are used to empirically test the proposed research model. Confirmatory factor analysis (CFA) is performed to examine the reliability and validity of the measurement model, and structure equation modeling (SEM) technique is used to evaluate the causal model. The implication of the research model to both researchers and practitioners is also discussed.

title: Adoption of Online Shopping in South Asia: A Technology Acceptance Perspective
abstract: The worldwide proliferation of online shopping during the past decade has created a need to better understand the adoption of such activity across the globe. Viewing online shopping as a 'process' this study addresses some of the gaps in the online shopping adoption literature (i.e. consumer acceptance of online shopping in the Emerging Asian markets) by focusing on culture specific dimensions of the technology acceptance phenomenon. More specifically, it uses an extended version of TAM combined with literature on information technology and culture to identify the drivers of online shopping adoption in Pakistan. It then makes an attempt to validate the applicability of TAM in a cultural setting other than the developed Western world. An empirical study was conducted to test the proposed extended TAM model using data from university students in Pakistan. Contrary to previous research, results of this study render support for the applicability of TAM in a culture that scores high on uncertainty avoidance, collectivism, power distance, and masculinity.

title: Exploring the Influence of Perceived Risk and Internet Self Efficacy on Consumer Online Shopping Intentions: Perspective of Technology Acceptance Model
abstract: [Abstract]The objective of this study is to investigate the influence of perceived risk and Internet self efficacy on the consumers' intentions to use online channels for purchases in Jordan. To examine the above perception, a research model is proposed based on an extended version of the Technology Acceptance Model (TAM) A non probability sampling technique has been used in this study to collect data by means of a self administered questionnaire that was developed from previously validated measurements. Ten hypotheses were formulated and tested by Partial Least Squares (PLS) path modeling technique. The empirical findings reveal that perceived risk, perceived usefulness, and perceived ease of use have direct impact on the consumers' behavioral intention to use online channel for purchase. Furthermore, the current findings display that the Internet self efficacy has no direct significant impact on consumers' intention to shop online in Jordan. However, the Internet self efficacy has indirect influence on consumers' intentions toward online shopping through the intermediating factors of perceived usefulness and perceived ease of use. It can be concluded that perceived ease of use, perceived usefulness, perceived risk, and Internet self efficacy can be considered important determinants in influencing consumers' intentions toward online shopping behavior in Jordan. Managerial implications are provided.[Keywords] online shopping; perceived risk; Internet self efficacy; technology acceptance model; Partial Least SquaresIntroductionOnline shopping is a revolutionary change that was brought forth by the innovative Internet technology and has eclipsed traditional shopping channels. Online shopping has become more popular because consumers gain experience and comfort with shopping on the Internet. Also, the increase in online shopping activities is fueled by a steady stream of new online shoppers and new product category sales. Despite the phenomenal growth of Internet users in recent years, the consumers' acceptance of online shopping as a purchasing channel is still rather low. The online shopping is a relatively young discipline, which is attracting a lot of attention in the research territories. There have been intensive studies that tackle the online shopping domains over the last decade and most of them have attempted to clarify, identify, and understand factors contributing to online shopping adoption. Indeed, as a result of carrying out these studies, a lot has been learned about online shopping and its dynamics, irrespective to the fact that most of these studies have approached the online shopping field from varying perspectives and ways.The current study is triggered by the recognition of the fact that online shopping has established a great presence in today's economy. Also, this study recognizes that there is too much to be done for the new medium of online shopping to expand and prosper in Jordan to a level comparable to that of developed countries and some developing countries. Indeed, online shopping is still in evolutionary stage in Jordan. Definitely, it is highly probable to understand the social behavior of a target population through empirically based studies, and accordingly develop appropriate interventions and mechanisms to modify positively such behavior towards acceptance and usage of online channels for purchase. However, there are not many research attempts that investigate the factors influencing the Jordanian consumers' behaviors towards the adoption of the online shopping medium. Therefore, the current study is intended to improve the understanding of the dynamics of online shopping domain in Jordan.Literature ReviewThere has been a highly prolific stream of theoretical research to integrate the emerging IS/GG products into businesses. The outcome of this research has resulted in establishing many adoption theories and models that can be used to examine and predict the determinant factors that are responsible for making end users psychologically and beha vi orally accept and adopt the emerging IS/GG products.

title: Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model
abstract: The purpose of this paper is to propose and verify that the technology acceptance model (TAM) can be employed to explain and predict the acceptance of mobile learning (M learning) an activity in which users access learning material with their mobile devices. The study identifies two factors that account for individual differences, i.e. perceived enjoyment (PE) and perceived mobility value (PMV) to enhance the explanatory power of the model. An online survey was conducted to collect data. A total of 313 undergraduate and graduate students in two Taiwan universities answered the questionnaire. Most of the constructs in the model were measured using existing scales, while some measurement items were created specifically for this research. Structural equation modeling was employed to examine the fit of the data with the model by using the LISREL software. The results of the data analysis shows that the data fit the extended TAM model well. Consumers hold posi.

title: Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective
abstract: The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy.,The present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model along with two additional constructs, i.e. self efficacy and personal innovativeness. The data collection was done through an online survey, wherein a total of 324 valid responses were obtained for the statistical analysis. All the hypothesized relationships were tested through partial least square structural equation modelling (PLS SEM) using an open source programming language and software environment, i.e. R Software along with plspm package.,Significant predictors of smartphone fitness app adoption intention include effort expectancy, social influence, perceived value, habit and personal innovativeness. Further, this study confirms significant relationship between personal innovativeness and habit, self efficacy and effort expectancy and effort expectancy and performance expectation. This study reveals that personal innovativeness is the strongest predictor of behavioural intention. Contrary to the expectations, factors like performance expectancy, facilitating conditions and hedonic motivation did not influence behavioural intention.,This study gives significant clues to app developers that can drastically influence the adoption of fitness apps. The findings suggest that marketers should focus on users with high personal innovativeness that can further act as role models and significantly influence their social circle. Interestingly, the findings suggest that fitness apps, as compared to other apps, should not emphasize much on the hedonic value of their offerings.,This study is one of the few studies to examine the adoption of smartphone fitness apps in an emerging economy context by using extended version of UTAUT2 model. Further, this study shows how new endogenous and exogenous variables (i.e. self efficacy and personal innovativeness) contribute to better explanatory power of the UTAUT2 framework.

title: Predicting the Consumers' Intention to Adopt Mobile Shopping: An Emerging Market Perspective
abstract: Technological advancement in mobile devices and the growth of wireless internet connections have fundamentally altered the way consumers shop. Mobile shopping (m shopping) provides benefits such as time saving, convenience and improvement of the overall quality of life. With such tremendous benefits, the adoption rate of m shopping however is still at the infancy stage. To explore further on this, the study analyses the factors that influence the consumers' intention to adopt m shopping which have been sparsely explored by extending the traditional technology acceptance model (TAM) with three additional constructs, namely perceived risk (PR) subjective norms (SN) and personal innovativeness in information technology (PIIT) Using online survey method, 142 usable questionnaires were obtained and subsequently analyzed using multiple regression analysis. The results found that the intention to adopt m shopping is only determined by PU, PEOU and SN. PR and PIIT, however, require further investigation as they were found to be insignificant with the intention to adopt m shopping. The study includes not only the implications for researchers but also suggestions on mobile marketing plans for practitioners.

title: Exploring consumers' use behavior on internet finance in China: From the perspective of the financial products similar to Yu'e Bao
abstract: The purpose of this paper is to explore the key factors affecting consumer's use behavior on financial products similar to Yu'e Bao. Considering the financial market and policy environment in China, theoretical model is founded based on extending Unified Theory of Acceptance and Use of Technology (UTAUT) and the hypotheses are put forward. Then, to test the model and hypotheses, 199 valid data is collected by online survey and analyzed with the help of software SPSS 19.0 and AMOS 17.0. The results show that performance expectancy, social influence, trust, government e readiness and facilitating conditions have positive effects on user's usage intention towards financial products similar to Yu'e Bao. Then the corresponding countermeasures and advices are put forward. The findings will not only help Chinese internet financial companies to improve their service, but also provide specific directions to regularize the industry of internet finance in China.

title: Theory Development in Nursing and Healthcare Informatics: A Model Explaining and Predicting Information and Communication Technology Acceptance by Healthcare Consumers
abstract: About 110 million American adults are looking for health information and services on the Internet. Identification of the factors influencing healthcare consumers' technology acceptance is requisite to understanding their acceptance and usage behavior of online health information and related services. The purpose of this article is to describe the development of the Information and Communication Technology Acceptance Model (ICTAM) From the literature reviewed, ICTAM was developed with emphasis on integrating multidisciplinary perspectives from divergent frameworks and empirical findings into a unified model with regard to healthcare consumers' acceptance and usage behavior of information and services on the Internet.

title: Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model
abstract: This study developed and empirically tested a model to predict the factors affecting students' behavioral intentions toward using mobile learning (m learning) This study explored the behavioral intention to use m learning from the perspective of consumers by applying the extended unified theory of acceptance and use of technology (UTAUT) model with the addition of perceived enjoyment, mobile self efficacy, satisfaction, trust, and perceived risk moderators. A cross sectional study was conducted by employing a research model based on multiple technology acceptance theories. Data were derived from an online survey with 1,562 respondents and analyzed using structural equation modeling. Partial least squares (PLS) regression was used for model and hypothesis testing. The results revealed that (1) behavioral intention was significantly and positively influenced by satisfaction, trust, performance expectancy, and effort expectancy; (2) perceived enjoyment, performance expectancy, and effort expectancy had positive associations with behavioral intention; (3) mobile self efficacy had a significantly positive effect on perceived enjoyment; and (4) perceived risk had a significantly negative moderating effect on the relationship between performance expectancy and behavioral intention. Our findings correspond with the UTAUT model and provide a practical reference for educational institutions and decision makers involved in designing m learning for implementation in universities.