Applying the Technology Acceptance Model to the introduction of healthcare information systems
TL;DR: A conceptual model, appropriate for the intention to use healthcare information systems, is proposed by adopting the system, service, and information qualities covered in the Information System Success Model proposed by DeLone and Mclean as the external variables and integrating the three dimensions of perceived usefulness, perceived ease of use, and intention toUse.
About: This article is published in Technological Forecasting and Social Change.The article was published on 2011-05-01. It has received 436 citations till now. The article focuses on the topics: Technology acceptance model & Information system.
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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
TL;DR: This study confirms the applicability of UTAUT model in the context of mHealth services among the elderly in developing countries like Bangladesh and provides valuable information for mHealth service providers and policy makers in understanding the adoption challenges and the issues.
556 citations
TL;DR: This study illustrates the dichotomous constitution of trust in applied AI and provides tangible approaches to increase trust in the technology and illustrates the necessity of a democratic development process for applied AI.
385 citations
TL;DR: A research model based on the value attitude behavior model, theory of planned behavior, and four aging characteristic constructs revealed that perceived value, attitude, perceived behavior control, and resistance to change can be used to predict intention to use mobile health services for the middle-aged group.
323 citations
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TL;DR: In this paper, the authors proposed an acceptance model for augmented reality in the context of urban heritage tourism, and five focus groups with young British female tourists visiting Dublin and experiencing a mobile AR application were conducted.
Abstract: Latest mobile technologies have revolutionized the way people experience their environment. Recent research explored the opportunities of using augmented reality (AR) in order to enhance user experience; however, there is only limited research on users’ acceptance of AR in the tourism context. The technology acceptance model is the predominant theory for researching technology acceptance. Previous researchers used the approach of proposing external dimensions based on the secondary literature; however, they missed the opportunity to integrate context-specific dimensions. This paper therefore aims to propose an AR acceptance model in the context of urban heritage tourism. Five focus groups, with young British female tourists visiting Dublin and experiencing a mobile AR application, were conducted. The data were analysed using thematic analysis and revealed seven dimensions that should be incorporated into AR acceptance research, including information quality, system quality, costs of use, recommendations, ...
308 citations
Cites background from "Applying the Technology Acceptance ..."
...Within previous TAM research, a number of researchers (Lucas & Spitler, 1999; Pai & Huang, 2011; Venkatesh & Bala, 2008) confirmed the importance of information quality for perceived usefulness and perceived ease of use....
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...facilitating conditions into their TAM (Lu, Yu, Liu, & Yao, 2003; Maldonado, Khan, Moon, & Rho, 2010; Pan and Jordan-Marsh, 2010; Teo, 2010). Teo (2010) supported the path of facilitating conditions towards perceived usefulness and Lu et al....
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...For instance, Lin (2010) supported the strong effect of system quality on perceived usefulness, while Pai and Huang (2011) confirmed the effect of system quality on perceived ease of use....
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References
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TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Abstract: In this final installment of the paper we consider the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now. To a considerable extent the continuous case can be obtained through a limiting process from the discrete case by dividing the continuum of messages and signals into a large but finite number of small regions and calculating the various parameters involved on a discrete basis. As the size of the regions is decreased these parameters in general approach as limits the proper values for the continuous case. There are, however, a few new effects that appear and also a general change of emphasis in the direction of specialization of the general results to particular cases.
65,425 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
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
01 Jan 1973
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each.
Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations.
Table of Contents
1. Introduction.
I. PREPARING FOR A MULTIVARIATE ANALYSIS.
2. Examining Your Data.
3. Factor Analysis.
II. DEPENDENCE TECHNIQUES.
4. Multiple Regression.
5. Multiple Discriminant Analysis and Logistic Regression.
6. Multivariate Analysis of Variance.
7. Conjoint Analysis.
8. Canonical Correlation Analysis.
III. INTERDEPENDENCE TECHNIQUES.
9. Cluster Analysis.
10. Multidimensional Scaling.
IV. ADVANCED AND EMERGING TECHNIQUES.
11. Structural Equation Modeling.
12. Emerging Techniques in Multivariate Analysis.
Appendix A: Applications of Multivariate Data Analysis.
Index.
37,124 citations
Book•
01 Jun 1975
36,032 citations