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Journal ArticleDOI

Technology acceptance model for wireless Internet

01 Aug 2003-Internet Research (MCB UP Ltd)-Vol. 13, Iss: 3, pp 206-222
TL;DR: A technology acceptance model for wireless Internet via mobile devices (TAM for wirelessInternet), a conceptual framework to explain the factors influencing user acceptance of WIMD, is developed and 12 propositions are developed to promote and facilitate future empirical research relating to WIMd.
Abstract: Wireless Internet via mobile devices (WIMD) is leading the world into another spectrum of communications and means of conducting day‐to‐day business and life activities. Full bloom of wireless Internet services depends on user acceptance, as well as technology improvement. This paper develops a technology acceptance model for wireless Internet via mobile devices (TAM for wireless Internet), a conceptual framework to explain the factors influencing user acceptance of WIMD. By revising the technology acceptance model (TAM) to represent some unique features of the wireless system under study, TAM for wireless Internet proposes that constructs such as individual differences, technology complexity, facilitating conditions, social influences, and wireless trust environment determine user‐perceived short and long‐term usefulness, and ease of using WIMD. These, in turn, determine user intention and willingness to adopt WIMD. Twelve propositions are developed to promote and facilitate future empirical research relating to WIMD.
Citations
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Journal ArticleDOI
TL;DR: The findings of the study indicate that perceived usefulness and information on online banking on the Web site were the main factors influencing online‐banking acceptance.
Abstract: Advances in electronic banking technology have created novel ways of handling daily banking affairs, especially via the online banking channel. The acceptance of online banking services has been rapid in many parts of the world, and in the leading e‐banking countries the number of e‐banking contracts has exceeded 50 percent. Investigates online banking acceptance in the light of the traditional technology acceptance model (TAM), which is leveraged into the online environment. On the basis of a focus group interview with banking professionals, TAM literature and e‐banking studies, we develop a model indicating online‐banking acceptance among private banking customers in Finland. The model was tested with a survey sample (n=268). The findings of the study indicate that perceived usefulness and information on online banking on the Web site were the main factors influencing online‐banking acceptance.

1,661 citations


Cites background from "Technology acceptance model for wir..."

  • ...…reliable model explaining information system acceptance and use (Mathieson, 1991; Davis and Venkatesh, 1996,), many extensions to the original TAM have been proposed (e.g. Venkatesh and Speier, 1999; Venkatesh and Davis, 2000; Venkatesh et al., 2002; Henderson and Divett, 2003; Lu et al., 2003)....

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Journal ArticleDOI
TL;DR: Structural equation analysis reveals strong causal relationships between the social influences, personal innovativeness and the perceptual beliefs—usefulness and ease of use, which in turn impact adoption intentions.
Abstract: Technology acceptance research has tended to focus on instrumental beliefs such as perceived usefulness and perceived ease of use as drivers of usage intentions, with technology characteristics as major external stimuli. Behavioral sciences and individual psychology, however, suggest that social influences and personal traits such as individual innovativeness are potentially important determinants of adoption as well, and may be a more important element in potential adopters' decisions. This paper models and tests these relationships in non-work settings among several latent constructs such as intention to adopt wireless mobile technology, social influences, and personal innovativeness. Structural equation analysis reveals strong causal relationships between the social influences, personal innovativeness and the perceptual beliefs—usefulness and ease of use, which in turn impact adoption intentions. The paper concludes with some important implications for both theory research and implementation strategies.

1,227 citations


Cites background or methods from "Technology acceptance model for wir..."

  • ...…operational models and found some empirical support (e.g. Agarwal and Karahanna, 2000; Green, 1998; Karahanna and Straub, 1999; Lewis et al., 2003; Lu et al., 2003b; Lucas and Spitler, 2000; Segrest et al., 1998; Taylor and Todd, 1995a; 1995b; Venkatesh and Davis, 2000; Venkatesh et al., 2003)....

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  • ...Second, this technology is still at its early stage of development and implementation (Lu et al., 2003b), and therefore, is suitable for identifying the nature of influences from individual differences and social networks, if any....

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  • ...To examine the conceptual constructs and hypothesized relationships, the survey questionnaire developed for WIMTAM was adopted for data collection (Lu et al., 2003a,b)....

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  • ...…Lu et al., 2004; Siau et al., 2004b); system complexity in terms of functionality, design, data transfer speed and mobile device capability (e.g. Lu et al., 2003a); mobility, convenience, and cost (e.g. Siau and Shen, 2003; Siau et al., 2004b) have to be addressed to trigger a successful…...

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Journal ArticleDOI
TL;DR: The main aim of the paper is to provide an up-to-date, well-researched resource of past and current references to TAM-related literature and to identify possible directions for future TAM research.
Abstract: With the ever-increasing development of technology and its integration into users' private and professional life, a decision regarding its acceptance or rejection still remains an open question. A respectable amount of work dealing with the technology acceptance model (TAM), from its first appearance more than a quarter of a century ago, clearly indicates a popularity of the model in the field of technology acceptance. Originated in the psychological theory of reasoned action and theory of planned behavior, TAM has evolved to become a key model in understanding predictors of human behavior toward potential acceptance or rejection of the technology. The main aim of the paper is to provide an up-to-date, well-researched resource of past and current references to TAM-related literature and to identify possible directions for future TAM research. The paper presents a comprehensive concept-centric literature review of the TAM, from 1986 onwards. According to a designed methodology, 85 scientific publications have been selected and classified according to their aim and content into three categories such as (i) TAM literature reviews, (ii) development and extension of TAM, and (iii) modification and application of TAM. Despite a continuous progress in revealing new factors with significant influence on TAM's core variables, there are still many unexplored areas of model potential application that could contribute to its predictive validity. Consequently, four possible future directions for TAM research based on the conducted literature review and analysis are identified and presented.

1,053 citations


Cites background from "Technology acceptance model for wir..."

  • ...Wireless Internet technology, widely studied in the last decade, has produced several acceptance models based on TAM, including the model of wireless Internet acceptance [91, 94] and the model of mobile Internet acceptance [56, 74]....

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Journal ArticleDOI
TL;DR: Two versions of the model of the theory of planned behavior (TPB) – pure and decomposed – are examined and compared to the theories of reasoned action (TRA) and TRA and provide a good fit to the data.
Abstract: With the liberalization and internalization of financial markets, in terms of the entrance of the World Trade Organization, banks in Taiwan face pressures in service quality and administrative efficiency. Predicting customers’ intention to adopt Internet banking is an important issue. Attempts to understand how an individual's belief, embracing attitude, subjective norm and perceived behavioral control, can influence intention. Two versions of the model of the theory of planned behavior (TPB) – pure and decomposed – are examined and compared to the theory of reasoned action (TRA). Data are collected from approximately 425 respondents and structural equation modeling is used to analyze the responses. Results generally support TRA and TPB and provide a good fit to the data.

880 citations


Cites background from "Technology acceptance model for wir..."

  • ...For example, Lu et al. (2003) developed a TAM to explain the factors influencing user acceptance for Wireless Internet via mobile devices....

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Journal ArticleDOI
TL;DR: Perceived usefulness, attitude towards computer use, and computer self-efficacy have direct effect on pre-service teachers' technology acceptance, whereas perceived ease of use, technological complexity, and facilitating conditions affect technology acceptance indirectly.
Abstract: The purpose of the study is to build a model that predicts the level of technology acceptance by pre-service teachers at a teacher training institute in Singapore. It examines relationships among variables associated with factors that influence technology acceptance. Data was collected from 475 participants using a survey questionnaire. Employing structural equation modelling, a hypothesized model was tested for model fit in the study. The resulting model is found to have a good fit. Perceived usefulness, attitude towards computer use, and computer self-efficacy have direct effect on pre-service teachers' technology acceptance, whereas perceived ease of use, technological complexity, and facilitating conditions affect technology acceptance indirectly. These six variables account for approximately 27.1% of the variance of behavioural intention. Perceived usefulness appeared to the strongest determinant of behavioural intention.

799 citations

References
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Journal ArticleDOI
TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

65,095 citations

01 Jan 1989
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

40,975 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

40,720 citations

Book
01 Jan 1962
TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
Abstract: Contents Preface CHAPTER 1. ELEMENTS OF DIFFUSION CHAPTER 2. A HISTORY OF DIFFUSION RESEARCH CHAPTER 3. CONTRIBUTIONS AND CRITICISMS OF DIFFUSION RESEARCH CHAPTER 4. THE GENERATION OF INNOVATIONS CHAPTER 5. THE INNOVATION-DECISION PROCESS CHAPTER 6. ATTRIBUTES OF INNOVATIONS AND THEIR RATE OF ADOPTION CHAPTER 7. INNOVATIVENESS AND ADOPTER CATEGORIES CHAPTER 8. DIFFUSION NETWORKS CHAPTER 9. THE CHANGE AGENT CHAPTER 10. INNOVATION IN ORGANIZATIONS CHAPTER 11. CONSEQUENCES OF INNOVATIONS Glossary Bibliography Name Index Subject Index

38,750 citations