The extent to which teachers adopt technology in their teaching practice has long been in the focus of research. Indeed, a plethora of models exist explaining influential factors and mechanisms of technology use in classrooms, one of which—the Technology Acceptance Model (TAM) and versions thereof—has dominated the field. Although consensus exists about which factors in the TAM might predict teachers’ technology adoption, the current field abounds in some controversies and inconsistent findings. This meta-analysis seeks to clarify some of these issues by combining meta-analysis with structural equation modeling approaches. Specifically, we synthesized 124 correlation matrices from 114 empirical TAM studies (N = 34,357 teachers) and tested the fit of the TAM and its versions. Overall, the TAM explains technology acceptance well; yet, the role of certain key constructs and the importance of external variables contrast some existing beliefs about the TAM. Implications for research and practice are discussed.

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The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education

This article reviews the book “Leaders: The Strategies for Taking Charge,” by Warren Bennus and Burt Nanus.

Leaders: The Strategies for Taking Charge

Mail and telephone surveys: The total design method.

Problems and Strategies in Services Marketing

Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.

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Beyond the Usefulness and Ease of Use : Extending the TAM for a World - Wide - Web Context

In order to answer the research questions, it is doubtful that researcher should be able to collect data from all cases. Thus, there is a need to select a sample. This paper presents the steps to go through to conduct sampling. Furthermore, as there are different types of sampling techniques/methods, researcher needs to understand the differences to select the proper sampling method for the research. In the regards, this paper also presents the different types of sampling techniques and methods.

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Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research

Questionnaire is one of the most widely used tools to collect data in especially social science research. The main objective of questionnaire in research is to obtain relevant information in most reliable and valid manner. Thus the accuracy and consistency of survey/questionnaire forms a significant aspect of research methodology which are known as validity and reliability. Often new researchers are confused with selection and conducting of proper validity type to test their research instrument (questionnaire/survey). This review article explores and describes the validity and reliability of a questionnaire/survey and also discusses various forms of validity and reliability tests.

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Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research

A review of technology acceptance and adoption models and theories

The sample size is a significant feature of any empirical study in which the goal is to make inferences about a population from a sample. In order to generalize from a random sample and avoid sampling errors or biases, a random sample needs to be of adequate size. This study presents a summary of how to calculate the survey sample size in social research and information system research.

https://hal.archives-ouvertes.fr/hal-02557333/document

Hamed Taherdoost

Papers

Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research

Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research

A review of technology acceptance and adoption models and theories

Determining Sample Size; How to Calculate Survey Sample Size

Analyzing the Process of Supplier Selection Criteria and Methods