Predicting E-Services Adoption


Book Description

Internet-delivered e-services are increasingly being made available to consumers; however, little is known about how consumers evaluate them for potential adoption. Past Technology Adoption Research has focused primarily on the positive utility gains attributable to system adoption. This research extends that approach to include measures of negative utility (potential losses) attributable to e-service adoption. Drawing from Perceived Risk Theory, specific risk facets were operationalized, integrated, and empirically tested within the Technology Acceptance Model resulting in a proposed e-services adoption model. Results indicated that e-services adoption is adversely affected primarily by performance-based risk perceptions, and perceived ease of use of the e-service reduced these risk concerns. Implications of integrating perceived risk into the proposed e-services adoption model are discussed.




E-Services Adoption


Book Description

Volume 23B includes two chapters covering problems and implementations of solutions in e-services adoption processes in developing nations. These are exciting and useful chapters for executives and researchers seeking knowledge and theory of how to influence e-service adoptions in developing nations!




Predicting Adoption Probabilities in Social Networks


Book Description

In a social network, adoption probability refers to the probability that a social entity will adopt a product, service, or opinion in the foreseeable future. Such probabilities are central to fundamental issues in social network analysis, including the influence maximization problem. In practice, adoption probabilities have significant implications for applications ranging from social network-based target marketing to political campaigns; yet, predicting adoption probabilities has not received sufficient research attention. Building on relevant social network theories, we identify and operationalize key factors that affect adoption decisions: social influence, structural equivalence, entity similarity, and confounding factors. We then develop the locally-weighted expectation-maximization method for Naïve Bayesian learning to predict adoption probabilities on the basis of these factors. The principal challenge addressed in this study is how to predict adoption probabilities in the presence of confounding factors that are generally unobserved. Using data from two large-scale social networks, we demonstrate the effectiveness of the proposed method. The empirical results also suggest that cascade methods primarily using social influence to predict adoption probabilities offer limited predictive power, and that confounding factors are critical to adoption probability predictions.




E-Services Adoption


Book Description

Annotation This volume features exciting and useful chapters for executives and researchers seeking knowledge and theory of how to influence e-service adoptions in developing nations.




Structural Equation Modeling Approaches to E-Service Adoption


Book Description

With the modernization of services offered through the internet, many traditional face-to-face services have adopted new e-service phenomena. Especially prevalent among the younger generations, this change in service has promoted many industries to rethink how to best reach their consumers using modern technology. Structural Equation Modeling Approaches to E-Service Adoption is a pivotal reference source that aims to share the latest empirical research findings within technology acceptance, information systems, information technology, human-computer interaction, and management information systems. While highlighting topics such as e-commerce, internet banking, and technology acceptance, this publication explores the understanding of today’s e-services in a dynamic and complex environment, as well as the methods within the field of information systems and information technologies. This book is ideally designed for academics, students, managers, and scholars interested in the up-and-coming research surrounding the field of information technology.




Predicting Education and Service Industries


Book Description

Is online video and television service is to be affective in predicting technology adoption to influence consumption behavior choice? It seems online video and television and online e-ticket travel package service which are similar to behavioral economy analysis. Such as the online entertainment consumer who can use computer to watch online video and television in anywhere, e.g. library, at home etc. places. Even some online video and television service can provide free charge to let any entertainment consumer to watch any time from internet. So, who will feel no any expense. Online e-ticket buying service can let the travel consumer use whose computer to compare any airline companies' e-tickets prices and travel date and time schedule and travel destination from internet at home conveniently. So, who does not need to spend transportation cost or driver whose car to to to the travel agent or airline to buy paper airline ticket. Hence, both online video and television rent service and e-airline ticket consumption services can help consumers spend less time and expense to make consumption decision at home in short time. It is a popular online consumption behavioral economy model.Nowadays, online video and television services have become one of the most promising activities in terms of advertising revenue. E-Marketer has estimated that online video or television advertising will soar at 56% to 70% in the next five years (Halleman, 2008). To predict user acceptance of online video and television services. Despite a digital growth in online video and television to service over the span of a few years. What factors can influence consumers to choose to buy the product after who watch online video and television advertising? Some psychological experiments shows a greater influence of perceived behavioral control on intention to use this type of services. The effects of attitude toward use and subjective norm were positive, but more moderate. The lesser effect of attitude towards use may be explained by the evidence benefits of watching videos online. However, search recent consumer studies have confirmed that watching online videos and televisions has become one of the favorite online activities for internet users (Hallerman 2008. Mulligan et al. 2008).Hence, airline ticket consumer individual behavior can apply e-service questionnaires survey channel to gather what who needs or expectation are chosen to buy any prefer airlines to predict how to satisfy or attract whom final travel consumption of decision more easily.Can advertising influence consumption behavior?Advertising is a subject on which people tend to hold strong and often opposing views, and economists are not expectations to this. Some economists regard advertising as one means by which firms concentrate on promoting whose tastes and opinions in the direction of their products and also more generally in favor of private consumption ( consumer behavior). Other economists see advertising as an efficient way by which firms supply information to potential consumers. Otherwise, some economists see advertising as a barrier inhibiting new entrants into an industry thereby enabling the established firms to reap high profits, when others see advertising as evidence of competition and an aid to new entrants in establishing themselves. So, it seems advertising can influence consumer choices possibly.




The Roles of User Psychological Perceptions on the Adoption of Web-Based Service Innovations


Book Description

This study expands the traditional TAM by considering direct and mediating effects of users' psychological factors on the adoption of e-service innovations. Specifically, this study proposes the influential paths from innovation design characteristics to innovation adoption through user perceptions in order to better understand how to design an acceptable innovation and identify the targeted consumer segments. This study developed experiments to test the results of various designs for a simulated new e-learning website. The results of the investigation indicate significant direct and mediating effects of user psychological factors on the innovation adoption. In other words, for predicting e-service adoption, the expanded model is more effective than the traditional TAM. The conclusions support the expanded framework with two pathways - one innovation characteristic-based and the other user perception-based - connecting to the acceptance of new technologies. The results also help partially explain the divergent and even conflicting effects of innovation characteristics of past research in TAM.




Optimizing Current Practices in E-Services and Mobile Applications


Book Description

In the modern world of mobile applications, the expansion of e-services, self-services, and mobile communication constantly allows for new multidisciplinary developments in academia and industry. Optimizing Current Practices in E-Services and Mobile Applications is a critical scholarly resource that examines issues in the production management, delivery, and consumption of e-services. Featuring coverage on a broad range of topics, such as marketing, management, social media, and entrepreneurship, this book is an ideal resource for professionals, researchers, academicians, and industry consultants with an interest in the emergence of e-services.




Big Data Gathering Predicts Sevice Industry Consumption Behavior


Book Description

Is online video and television service is to be affective in predicting technology adoption to influence consumption behavior choice? It seems online video and television and online e-ticket travel package service which are similar to behavioral economy analysis. Such as the online entertainment consumer who can use computer to watch online video and television in anywhere, e.g. library, at home etc. places. Even some online video and television service can provide free charge to let any entertainment consumer to watch any time from internet. So, who will feel no any expense. Online e-ticket buying service can let the travel consumer use whose computer to compare any airline companies' e-tickets prices and travel date and time schedule and travel destination from internet at home conveniently. So, who does not need to spend transportation cost or driver whose car to to to the travel agent or airline to buy paper airline ticket. Hence, both online video and television rent service and e-airline ticket consumption services can help consumers spend less time and expense to make consumption decision at home in short time. It is a popular online consumption behavioral economy model.Nowadays, online video and television services have become one of the most promising activities in terms of advertising revenue. E-Marketer has estimated that online video or television advertising will soar at 56% to 70% in the next five years (Halleman, 2008). To predict user acceptance of online video and television services. Despite a digital growth in online video and television to service over the span of a few years. What factors can influence consumers to choose to buy the product after who watch online video and television advertising? Some psychological experiments shows a greater influence of perceived behavioral control on intention to use this type of services. The effects of attitude toward use and subjective norm were positive, but more moderate. The lesser effect of attitude towards use may be explained by the evidence benefits of watching videos online. However, search recent consumer studies have confirmed that watching online videos and televisions has become one of the favorite online activities for internet users (Hallerman 2008. Mulligan et al. 2008).




Electronic Services: Concepts, Methodologies, Tools and Applications


Book Description

With the increasing reliance on digital means to transact goods that are retail and communication based, e-services continue to develop as key applications for business, finance, industry and innovation.Electronic Services: Concepts, Methodologies, Tools and Applications is an all-inclusive research collection covering the latest studies on the consumption, delivery and availability of e-services. This multi-volume book contains over 100 articles, making it an essential reference for the evolving e-services discipline.