A meta-analysis of the technology acceptance model

Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines there is near-exclusive use of statistical modeling for causal explanation and the assumption that models with high explanatory power are inherently of high predictive power. Conflation between explanation and prediction is common, yet the distinction must be understood for progressing scientific knowledge. While this distinction has been recognized in the philosophy of science, the statistical literature lacks a thorough discussion of the many differences that arise in the process of modeling for an explanatory versus a predictive goal. The purpose of this article is to clarify the distinction between explanatory and predictive modeling, to discuss its sources, and to reveal the practical implications of the distinction to each step in the modeling process.

To Explain or to Predict

Many universities implement e-learning for various reasons. It is obvious that the number of e-learning opportunities provided by higher educational institutes continues to grow in Korea. Yet little research has been done to verify the process of how university students adopt and use e-learning. A sample of 628 university students took part in the research. The structural equation modeling (SEM) technique was employed with the LISREL program to explain the adoption process. The general structural model, which included e-learning selfefficacy, subjective norm, system accessibility, perceived usefulness, perceived ease of use, attitude, and behavioral intention to use e-learning, was developed based on the technology acceptance model (TAM). The result proved TAM to be a good theoretical tool to understand users’ acceptance of e-learning. E-learning selfefficacy was the most important construct, followed by subjective norm in explicating the causal process in the model.

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An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning

Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

– The purpose of this paper is to contribute to a growing body of research on cloud computing, by studying the small to medium‐sized enterprise (SME) adoption process. If SMEs have access to scalable technologies they could potentially deliver products and services that in the past only large enterprises could deliver, flattening the competitive arena., – By adopting the Technological, Organisational and Environmental (TOE) framework as a theoretical base, this qualitative exploratory study used semi‐structured interviews to collect data in 15 different SMEs and service providers in the north east of England. The north east of England was selected as it is a region that aspires to become home to innovative digital firms and most of the companies in the region are SMEs., – The main factors that were identified as playing a significant role in SME adoption of cloud services were: relative advantage, uncertainty, geo‐restriction, compatibility, trialability, size, top management support, prior experience, innovativeness, industry, market scope, supplier efforts and external computing support. In contrast, this study did not find enough evidence that competitive pressure was a significant determinant of cloud computing adoption., – These findings have important implications and great value to the research community, managers and information and communication technologies (ICT) providers, in terms of formulating better strategies for cloud computing adoption. For service providers, using the research model in this study can assist in increasing their understanding of why some SMEs choose to adopt cloud computing services, while seemingly similar ones facing similar market conditions do not. Also, cloud computing providers may need to improve their interaction with SMEs which are involved in the cloud computing experience, in an effort to create a healthy environment for cloud computing adoption, and to remove any vagueness surrounding this type of technology., – This study is an attempt to explore and develop an SME cloud computing adoption model that was theoretically grounded in the TOE framework. By adopting the TOE framework this study has shown that the three contexts of this framework (technological, organisational, and environmental) are connected to each other.

Cloud computing adoption by SMEs in the north east of England: A multi‐perspective framework

Electronic commerce adoption: an empirical study of small and medium US businesses

Purpose – The purpose of this paper is to empirically test the causal relationships in the Malcolm Baldrige National Quality Award (MBNQA) Education Performance Excellence Criteria.Design/methodology/approach – Using a sample of 220 respondents from 15 United Arab Emirates (UAE) universities and colleges, results of regression analysis and confirmatory structural equation modeling show that all of the hypothesized causal relationships in the Baldrige model are statistically significant.Findings – A comprehensive “measurement model” grounded in the Baldrige Performance Excellence in Education Criteria for the 33 items of measurement is developed, tested, and found to be valid and reliable. Leadership is identified as a driver for all components in the Baldrige System, including measurement, analysis and knowledge management, strategic planning, faculty and staff focus and process management. All Baldrige components (categories) are significantly linked with organizational outcomes as represented by the two...

The Baldrige Education Criteria for Performance Excellence Framework

Although the adoption of e-commerce is widely studied in the industrialized world, only a small number of these studies focus on developing countries. An even smaller fraction of these studies focus on small and medium sized enterprises (SMEs), which account for a high percent of the economy generated in developing countries. In this study, managers/owners of SMEs in Chile identified variables that differentiate between adopters and non-adopters of e-commerce. The analysis suggests that Chilean managers/owners most receptive to adopting e-commerce possess the financial and technological resources to implement it, see e-commerce as increasing managerial productivity and supporting strategic decisions, feel external pressure to put ecommerce into operation, perceive e-commerce as compatible with preferred work practices and existing technology infrastructure, and perceive e-commerce as useful for their firms.

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E-Commerce Adoption:Perceptions of Managers/Owners of Small and Medium Sized Firms in Chile

Even though there is a vast amount of research devoted to distance education and related topics, the study of factors that influence students' intention to take online classes has not been thoroughly developed Furthermore, most of the existing studies have focused on homogeneous samples taken from one population There is a lack of cross-cultural research that may help in explaining differences among students' perceptions about online instruction This study proposed a research model to examine factors that influence students' intentions to take online courses To validate the research model, data were collected from college students in the United States and South Korea For American students, convenience, quality, subjective norm, and perceived ease of use were significant predictors of students' intention Only quality and subjective norms were significant factors impacting Korean students' intentions Self-efficacy was found to have indirect impact on students' intentions through perceived ease of use only for American students Conversely, self-efficacy did not have indirect impact on student's intentions through perceived usefulness for students in both countries

Factors influencing student intention to adopt online classes: a cross-cultural study

The adoption of information technology (IT) has been widely studied in the industrialized world. Particularly, the adoption of electronic commerce (ecommerce) has been a hot topic among researchers in the MIS community in recent years. However, only a tiny fraction of these studies have been devoted to developing countries and an even smaller portion of them have focused on small and medium sized enterprises (SMEs). Due to the potential benefits that ecommerce may provide to SMEs and the fact that a small number of SMEs are currently using ecommerce, the objective of this study is the development of an instrument to study the initial adoption of ecommerce in SMEs in Chile. This instrument could also help other developing countries to determine the ecommerce adoption intention. The instrument is developed using Ajzen's Theory of Planned Behavior that suggests the steps to elicit important constructs from a target population. A detailed explanation of the elicitation process is offered and the final instrum...

Elizabeth E. Grandon

Papers

Electronic commerce adoption: an empirical study of small and medium US businesses

The Baldrige Education Criteria for Performance Excellence Framework

E-Commerce Adoption:Perceptions of Managers/Owners of Small and Medium Sized Firms in Chile

Factors influencing student intention to adopt online classes: a cross-cultural study

Theory-Based Instrumentation to Measure the Intention to Use Electronic Commerce in Small and Medium Sized Businesses