Davis&#39; Technology Acceptance Model (TAM) (1989)

Information Technologies ◽

New Technology ◽

Cultural Factors ◽

Multinational Organization ◽

Number Of Factors ◽

Systems Models ◽

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.

The Technology Acceptance Model and Other User Acceptance Theories

Handbook of Research on Contemporary Theoretical Models in Information Systems ◽

10.4018/978-1-60566-659-4.ch015 ◽

2010 ◽

pp. 277-294 ◽

Cited By ~ 7

Author(s):

Joseph Bradley

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

New Technology ◽

User Acceptance ◽

Accurate Information ◽

Global Business ◽

Business Markets ◽

As global business markets become increasingly competitive, firms look to information technology to manage and improve their performance. Timely and accurate information is a key to gaining performance efficiency. Yet, firms may invest in technology only to find that their users are not willing to accept and use the new technology. This chapter explores the technology acceptance model and other theories of user acceptance.

Using Technology Acceptance Model to Study Customers’ Perception Towards Green Banking

Think India ◽

10.26643/think-india.v22i3.8270 ◽

2019 ◽

Vol 22 (3) ◽

pp. 402-409

Author(s):

Deepak Shrivastava ◽

Apurva Shrivastava ◽

Gyan Prakash

Keyword(s):

Technology Acceptance ◽

Perceived Risk ◽

New Technology ◽

Banking System ◽

Point Of View ◽

Ease Of Use ◽

Perceived Usefulness ◽

Perceived Ease Of Use ◽

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.

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

10.2196/preprints.13066 ◽

2018 ◽

Author(s):

Weam Alfayez ◽

Arwa Alumran ◽

Dr Saja A. Al-Rayes

Keyword(s):

Information Technology ◽

Electronic Health Record ◽

Technology Acceptance ◽

Health Record ◽

Record System ◽

Factors Influencing ◽

Tam Model ◽

Electronic Health ◽

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

Iranian Health Information Technology Acceptance Model (IHITAM) from Users' Views

Acta Informatica Medica ◽

10.5455/aim.2019.27.245-252 ◽

2019 ◽

Vol 27 (4) ◽

pp. 245

Author(s):

Mehrdad Farzandipour ◽

Somayyeh Ravandi ◽

Hamidreza Gilasi ◽

Nabiallah Soleimani

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

Health Information Technology ◽

Health Information ◽

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

Jurnal Economia ◽

10.21831/economia.v14i2.19547 ◽

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 ◽

Behavioral Intention ◽

Diffusion Theory ◽

Innovation Diffusion Theory ◽

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

Predicting Internet Use

E-Health Systems Diffusion and Use ◽

10.4018/978-1-59140-423-1.ch002 ◽

2011 ◽

pp. 13-29 ◽

Cited By ~ 5

Author(s):

William R. Chrismar ◽

Sonja Wiley-Patton

Keyword(s):

Information Technology ◽

Technology Acceptance ◽

Extended Model ◽

It Adoption ◽

Business Managers ◽

Intention To Adopt ◽

Medical Sector ◽

Acceptance Model ◽

Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

Intentions to Use Information Technologies

End-User Computing ◽

10.4018/978-1-59904-945-8.ch100 ◽

2008 ◽

pp. 1469-1488 ◽

Cited By ~ 1

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 ◽

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.

Technology Acceptance Model

Handbook of Research on Electronic Surveys and Measurements ◽

10.4018/978-1-59140-792-8.ch038 ◽

2007 ◽

pp. 306-308

Author(s):

M. McCord

Keyword(s):

Technology Acceptance ◽

Information Technologies ◽

Employee Performance ◽

User Acceptance ◽

Ease Of Use ◽

Perceived Usefulness ◽

Perceived Ease Of Use ◽

Intent To Use ◽

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation

Computer and Information Science ◽

10.5539/cis.v9n1p47 ◽

2015 ◽

Vol 9 (1) ◽

pp. 47 ◽

Cited By ~ 1

Author(s):

Hussain Mohammad Abu-Dalbouh

Keyword(s):

Technology Acceptance ◽

Evaluation Model ◽

New Technology ◽

End Users ◽

System Technology ◽

Technology System ◽

Acceptance Model ◽

Effective Models ◽

Lack Of Knowledge

<span>Effective evaluation is necessary in order to ensure systems adequately meet the requirements and information processing needs of the users and scope of the system. Technology acceptance model is one of the most popular and effective models for evaluation. A number of studies have proposed evaluation frameworks to aid in evaluation work. The end users for evaluation the acceptance of new technology or system have a lack of knowledge to examine and evaluate some features in the new technology/system. This will give a fake evaluation results of the new technology acceptance. This paper proposes a novel evaluation model to evaluate user acceptance of software and system technology by modifying the dimensions of the Technology Acceptance Model (TAM) and added additional success dimensions for expert users. The proposed model has been validated by an empirical study based on a questionnaire. The results indicated that the expert users have a strong significant influence to help in evaluation and pay attention to some features that end users have lack of knowledge to evaluate it.</span>

Evaluation of Cyber Security Management in Light of the Technology Acceptance Model

International Journal of Research in Social Sciences and Humanities ◽

10.37648/ijrssh.v11i03.029 ◽

2021 ◽

Vol 11 (3) ◽

Author(s):

Rafid Abdulwahid Mhawi ◽

Prof. Dr. Ali Hasson Fandi

Keyword(s):

Information Technology ◽

Data Analysis ◽

Human Resources ◽

Technology Acceptance ◽

Cyber Security ◽

Human Resources Management ◽

Security Management ◽

Resources Management ◽

The main objective of the research is to investigate the correlation and influence between cyber security management and the technology acceptance model in the Iraqi Ministry of Interior. The data was collected from (150) respondents represented by an intentional sample of the Directorate of Systems and Informatics and the Information Technology Department in the General Directorate of Human Resources Management and for data analysis, statistical programs (AMOS, SPSS) were employed. By adopting appropriate statistical methods, the results of the research showed that the Ministry of Interior, whenever it tries to pay attention to cyber security management, the more it is reflected in the level of technology acceptance. In other words, cyber security management has a fundamental and influential role in the extent of acceptance of the technology that will be adopted within the ministry.