Intentions to Use Information Technologies

2011 ◽  
pp. 79-101 ◽  
Author(s):  
Ron Thompson ◽  
Deborah Compeau ◽  
Chris Higgins ◽  
Nathan Lupton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Planned Behavior ◽  
Information Technologies ◽  
Primary Objective ◽  
Integrative Model ◽  
Personal Innovativeness ◽  
Time Periods ◽  
Acceptance Model

An integrative model explaining intentions to use an information technology is proposed. The primary objective is to obtain a clearer picture of how intentions are formed, and draws on previous research such as the technology acceptance model (Davis, Bagozzi, & Warshaw, 1989) and the decomposed theory of planned behavior (Taylor & Todd, 1995a). The conceptual model was tested using questionnaire responses from 189 subjects, measured at two time periods approximately two months apart. The results generally supported the hypothesized relationships, and revealed strong influences of both personal innovativeness and computer self-efficacy.

Intentions to Use Information Technologies

2008 ◽  
pp. 1469-1488 ◽  
Author(s):  
Ron Thompson ◽  
Deborah Compeau ◽  
Chris Higgins
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Planned Behavior ◽  
Information Technologies ◽  
Primary Objective ◽  
Integrative Model ◽  
Personal Innovativeness ◽  
Time Periods ◽  
Acceptance Model

An integrative model explaining intentions to use an information technology is proposed. The primary objective is to obtain a clearer picture of how intentions are formed, and draws on previous research such as the Technology Acceptance Model (Davis, Bagozzi and Warshaw, 1989) and the Decomposed Theory of Planned Behavior (Taylor and Todd, 1995a). The conceptual model was tested using questionnaire responses from 189 subjects, measured at two time periods approximately two months apart. The results generally supported the hypothesized relationships, and revealed strong influences of both personal innovativeness and computer self-efficacy.

scholarly journals A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java

2018 ◽  
Vol 14 (2) ◽  
pp. 113-125
Author(s):  
Mariatul Ulfa Mansyur ◽  
Bambang Hariadi ◽  
Wuryan Andayani
Keyword(s):  
Information Technology ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Diffusion Theory ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

Abstract: A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java. The objective of this study is to examine factors that influence the behavioral intention of consumers in using and adopting m-commerce. This study combines Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Innovation Diffusion Theory (IDT). The data of this study were collected through a survey and samples were selected by using convenience sampling technique with SEM-PLS requirement as many as ten times the number of paths. The data were analyzed using Partial Least Square (PLS). The results of this study show that perceived usefulness, perceived ease of use, social influence, and personal innovativeness affecs behavioral intention. Furthermore, behavioral intention affects actual user, i.e. consumers, to use and adopt m-commerce information technology. This study implies that vendors of m-commerce information technology and management should pay more attention to and reconsider perceived usefulness, perceived ease of use, social influence, personal innovativeness, behavioral intention, and consumers as actual users, when they make decision regarding adoption and appliance of m-commerce.Keywords: m-commerce information technology adoption, consumer behavior, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion TheoryAbstrak: Studi Keperilakuan Konsumen Kelas Menengah dalam Pengadopsian M-Commerce di Jawa Timur. Studi ini bertujuan untuk menguji faktor-faktor yang memengaruhi minat perilaku konsumen dalam menggunakan maupun mengadopsi m-commerce. Studi ini merupakan penggabungan model Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), dan Innovation Diffusion Theory (IDT). Studi ini menggunakan metode survey, sampel dipilih dengan menggunakan teknik convenience sampling, dan teknik analisis yang digunakan adalah SEM-PLS. Studi ini menemukan bahwa konstruk persepsi kegunaan, persepsi kemudahan penggunaan, pengaruh sosial dan keinovatifan pribadi berpengaruh terhadap minat perilaku. Selanjutnya, studi ini juga menemukan bahwa minat perilaku berpengaruh terhadap pengguna yang sesungguhnya, yaitu konsumen, terkait dengan penggunaan maupun adopsi m-commerce. Implikasi studi ini adalah vendor layanan teknologi informasi m-commerce dan manajemen harus memperhatikan dan mempertimbangkan lagi persepsi kegunaan, persepsi kemudahan, pengaruh sosial, keinovatifan pribadi, minat perilaku dan konsumen sebagai pengguna sesungguhnya dalam mengambil keputusan terkait dengan pengenalan dan adopsi m-commerce.Kata kunci: Adopsi Teknologi Informasi M-commerce, Perilaku Konsumen, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion Theory

A Conceptual Model for the Measurement of E-Government 2.0 Adoption by Developing Countries

2015 ◽  
pp. 239-251
Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios
Keyword(s):  
Information Technology ◽  
Developing Countries ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Empirical Model ◽  
Social Computing ◽  
Future Research ◽  
The Public ◽  
The Government ◽  
Acceptance Model

The current work explores the use of social computing as a tool to improve the interactions between the government and other parties. Social computing, which is known as Web 2.0, is applied in the public sector through the concept of e-Government 2.0. This chapter proposes a conceptual model that will measure e-Government 2.0 adoption by combining known information technology theories. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior and indexes from the United Nation's database. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.

Davis' Technology Acceptance Model (TAM) (1989)

2015 ◽  
pp. 205-219 ◽  
Author(s):  
Patrícia Silva
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
New Technology ◽  
Cultural Factors ◽  
Multinational Organization ◽  
Number Of Factors ◽  
Systems Models ◽  
Acceptance Model

This chapter reviews the literature about the Technology Acceptance Model (TAM), which is an information systems models theory that explain how users come to accept use a technology determined. The model suggests that when users are presented with a new technology, a number of factors influence their decision about how and when they will use it. While TAM is one of the most influential models used in the studies of the technology acceptance and empirically proved to have high validity, it must be used to a certain extent with caution, because with the internationalization of companies, there is a growing need to understand how cultural factors can affect the ability of a multinational organization to adopt and use information technologies. This model provides a foundation for further research to understand why users accept or reject information technology and how to improve the acceptance.

scholarly journals Information Technology Acceptance in Health Information Management

2014 ◽  
Vol 53 (01) ◽  
pp. 14-20 ◽  
Author(s):  
M. Abdekhoda ◽  
A. Dehnad ◽  
A. F. Hosseini ◽  
M. Ahmadi
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Health Information ◽  
Information Management ◽  
Information Technologies ◽  
User Acceptance ◽  
Health Information Management ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Acceptance Model

SummaryObjective: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM.Methods: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users’ perception of applying information technology was studiedby a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis.Results: The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the per -ceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users’ attitudes towards HIM. PU was relatively more associated ( r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM.Conclusions: Users’ perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

scholarly journals Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

2021 ◽  
Author(s):  
Svenja Mohr ◽  
Rainer Kühl
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Behavioral Control ◽  
Labor Costs ◽  
Online Questionnaire ◽  
Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

A new technology acceptance model: a mixed-method of grounded theory and system dynamics

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Bastan ◽  
Masoumeh Zarei ◽  
Reza Tavakkoli-Moghaddam ◽  
Hamed Shakouri G.
Keyword(s):  
Grounded Theory ◽  
System Dynamics ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Technology Acceptance Model ◽  
Holistic Model ◽  
Content Type ◽  
Systemic Model ◽  
Effective Policy ◽  
Acceptance Model

Purpose The Iranian construction industry has been grappling with numerous problems in recent years, including rework, high costs and design errors. Engineers in this field have always highlighted the use of modern technological methods of construction to improve quality and productivity and reduce time and cost. One of these technologies is the so-called building information modeling (BIM), which has been very difficult to adopt and implement in Iran. The purpose of this study is to propose a systemic and holistic model to analyze the dynamics of adoption and implementation of BIM in this country. The purpose of this paper is to understand the dynamics of BIM acceptance to identify the most effective policy to maximize it in the Iranian manufacturing industry. Design/methodology/approach A two-stage methodology has been developed to achieve the purpose of the research. In the first stage, a technology acceptance model for BIM acceptance was developed using the grounded theory (GT) method. This conceptual model provides a holistic basis for building a simulation model. Thus, in the second stage, we used the dynamics system methodology to extract a dynamic model from the conceptual one. This dynamic model can simulate different policies and may be used to evaluate their respective effectiveness. Findings In this study, using the GT method, we obtained 510 primary codes, 118 secondary codes, 50 concepts and 17 categories. After determining the relationships between categories through axial coding, we reached a conceptual model based on selective coding. Mention some of the variables of the conceptual model. Awareness, security, perceived usefulness and perceived ease of use are some of the most important variables of this model. In the next part, this conceptual model was run using system dynamics and, thus, turned into a causal model in which all the effective variables on BIM technology and their relationships with each other are specified. The stock and flow diagram of the problem and its related equations were presented. To improve the model and solve the problem, we examined the four policies as four future scenarios on the model: continuing the status quo, development of specialist workforce training, bolstering governmental support and increasing awareness via advertisement within. The simulation results showed that government support is the most effective policy for maximizing BIM acceptance in Iran. Practical implications In addition to enumerating all the factors affecting BIM technology, this paper proposes a systemic model that provides an accurate and comprehensive view of the acceptance of this technology. In this regard, by introducing feedback loops, as well as reinforcing and balancing factors versus factors causing stasis, the model offers a much deeper insight into mechanisms associated with BIM development and its barriers. Therefore, this study provides a very useful perspective and basis for policy-makers and all stakeholders to accept and implement BIM technology. The findings of this study can lead to more accurate policy-making, removal of acceptance barriers, promotion of incentives, and consequently more effective acceptance of BIM technology. Originality/value In this study, a new mixed research method was used. The innovation of our study lies in its simultaneous use of GT method to construct an accurate and holistic model and applying the system dynamics methodology to build a holistic and systemic model of the BIM acceptance problem. This research also provides a suitable standard and tool for studying BIM technology in developing countries.

Sign in / Sign up

Export Citation Format

Share Document