Information technology (IT) acceptance research has yielded many competing models, each with different sets of acceptance determinants. In this paper, we (1) review user acceptance literature and discuss eight prominent models, (2) empirically compare the eight models and their extensions, (3) formulate a unified model that integrates elements across the eight models, and (4) empirically validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology acceptance model and the theory of planned behavior, the model of PC utilization, the innovation diffusion theory, and the social cognitive theory. Using data from four organizations over a six-month period with three points of measurement, the eight models explained between 17 percent and 53 percent of the variance in user intentions to use information technology. Next, a unified model, called the Unified Theory of Acceptance and Use of Technology (UTAUT), was formulated, with four core determinants of intention and usage, and up to four moderators of key relationships. UTAUT was then tested using the original data and found to outperform the eight individual models (adjusted R 2 of 69 percent). UTAUT was then confirmed with data from two new organizations with similar

University in Washington, DC. Professor DeLone’s primary areas of research include the assessment of information systems effectiveness and value, the implementation and use of information technology in small and medium-sized businesses, and the global management of information technology. He has been published in various

The growing interest in Structured Equation Modeling (SEM) techniques and recognition of their importance in IS research suggests the need to compare and contrast different types of SEM techniques so that research designs can be appropriately selected. After assessing the extent to which these techniques are currently being used in IS research, the article presents a running example which analyzes the same dataset via three very different statistical techniques. It then compares two classes of SEM: covariance-based SEM and partial-least-squares-based SEM. Finally, the article discusses linear regression models and offers guidelines as to when SEM techniques and when regression techniques should be used. The article concludes with heuristics and rule of thumb thresholds to guide practice, and a discussion of the extent to which practice is in accord with these guidelines.

Communicated by S. Wiedenbeck Along with increasing investments in new technologies, user technology acceptance becomes a frequently studied topic in the information systems discipline. The last two decades have seen user acceptance models being proposed, tested, refined, extended and unified. These models have contributed to our understanding of user technology acceptance factors and their relationships. Yet they have also presented two limitations: the relatively low explanatory power and inconsistent influences of the factors across studies. Several researchers have recently started to examine the potential moderating effects that may overcome these limitations. However, studies in this direction are far from being conclusive. This study attempts to provide a systematic analysis of the explanatory and situational limitations of existing technology acceptance studies. Ten moderating factors are identified and categorized into three groups: organizational factors, technological factors and individual factors. An integrative model is subsequently established, followed by corresponding propositions pertaining to the moderating factors.

This paper illustrates the potential for management information system (MIS) technology to integrate information collection, management and reporting within a single program or network of organizations. Properly devised and created, MIS applications improve administration, service delivery and practice evaluation. Three strategies are offered to guide the design and development of MIS software. This paper is based on lessons from the production and implementation of MIS software that serves as a management and evaluation tool for a nationwide policy demonstration. Data from the MIS have helped to shape state and federal policy. The Center for Social Development (CSD) at Washington University in St. Louis created an MIS application to serve both as an administrative support and evaluation tool for a network of thirteen community-based organizations (CBO) offering matched savings programs throughout the United States. The goal of these Individual Development Account (IDA) programs is to assist low-income individuals and households to accumulate sufficient savings to invest in

Globalization and the ubiquitous nature of the Internet facilitate e-commerce activities across nations. These activities demand a new conceptualization of online consumer behavior that transcends national boundaries and takes into consideration cross-cultural effects. To better understand what drives e-commerce across cultures, we apply a theory of planned behavior (TPB) perspective to capture behavioral intentions to transact online in two dissimilar countries – China and the United States. We argue that adoption of e-commerce depends primarily on consumer behavioral intentions to engage in product purchases. The model first draws upon the TPB to interrelate online transaction intentions with attitude, subjective norm, and perceived behavioral control. Second, given the uncertainty present in e-commerce, trust in a Web retailer is hypothesized as a salient belief that indirectly influences transaction intentions through attitude and perceived behavioral control. The paper’s major contribution is to incorporate Hofstede’s (2001) cultural dimensions- individualism/collectivism, power distance, and long-term orientation- in studying cross-cultural e-commerce adoption. We argue that these cultural differences influence the proposed e-commerce adoption model and moderate its key relationships. An empirical study was conducted to test the proposed cross-cultural model using data from consumers in China and the United States. The results render support for most of the proposed hypotheses, emphasizing the role of cultural differences on consumer e-commerce adoption. The paper discusses several insights from this exploratory study that contribute to the cross-cultural e-commerce literature. Finally, we discuss the study’s implications for theory and practice, concluding with several suggestions for future research on cultural aspects of e-commerce. 1.

This paper uses the original Technology Acceptance Model (TAM) and its extension models to explain the factors affecting the use of the mobile Internet services in Korea. Based on data collected from a questionnaire survey, we show that social influence and self-efficacy variables significantly affect perceived usefulness and perceived ease of use, respectively. The data also reveal that both perceived usefulness and ease of use explain a significant percentage of the variations in the attitude toward using the mobile Internet, which in turn influences the actual usage frequency.

One of the recent phenomena information systems (IS) practitioners are currently facing in their continuous process of adopting new technology is the utilization of Extensible Markup Language (XML). In this paper we propose an XML adoption framework, a corresponding adoption space model, and a probit model of technology diffusion to examine the decision of adopting XML-based applications in the context of electronic business. First, an XML adoption framework is proposed. The framework helps companies examine their current status in the electronic business environment from the perspective of three electronic business domains, namely enterprise intranets, value-chain extranets, and the global Internet. This framework also provides guidelines for companies seeking to understand the potential benefits of adopting XML technology, and then further suggests the appropriate path and proper applications. Second, we propose an XML adoption space model. Considering its current status of IT applications, a company can utilize this model to measure the efforts/costs that will be incurred by developing XML-enabled IT applications. Third, we use a probit model of technology diffusion to explore the feasibility of a company's adoption of XML technology. This probit model considers a company's specific characteristics and evaluates benefits and efforts/costs of its XML adoption decision. Keywords: E-Business, Decision Model, Framework, XML 1.

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In the HISS (Hospital Information System for Students) project, run by Campus Bio-Medico University of Rome, students of Medicine, Nursing and Dietetics practising in the wards were trained to use handheld devices connected through a WLAN to record patients ’ data. Beside learning this new technology and applying it for freely accessing teaching resources from any place in the Campus, the students were able to design new user interfaces for accomplishing daily tasks. The work done by Dietetics students was a good basis for the development and implementation of a real solution in the University Hospital.