53460604
Acceptance of e-Learning Systems: a Serial Multiple Mediation Analysis
The success of an e-learning system depends strongly on understanding the factors that influence students’ use and acceptance of this kind of system. Technology acceptance models (TAMs) are frequently used in studies investigating the determinants of adoption and usage of new technologies. Drawing on the findings from extant literature on technology acceptance, this study developed and tested a multiple mediator model using TAM3 framework and concepts. The model was tested on a sample of 220 students using Structural Equation Modeling and serial multiple mediation analysis. The study proved that perceived ease of use and perceived usefulness mediate sequentially the relationships between the four external variables – social influence, facilitating conditions, selfefficacy, perceived enjoyment – and behavioral intention to use the e-learning system . The empirical results provide support for the proposed model. The results indicate that the TAM is a theoretically sound model which can be used to predict students’ behavioural intention (BI) to use e-learning systems.
12476939
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
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.
14580473
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
32642600
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.: Four Longitudinal Field Studies.
The present research develops and tests a theoretical extension of the Technology Acceptance Model (TAM) that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes. The extended model, referred to as TAM2, was tested using longitudinal data collected regarding four different systems at four organizations ( N = 156), two involving voluntary usage and two involving mandatory usage. Model constructs were measured at three points in time at each organization: preimplementation, one month postimplementation, and three months postimplementation. The extended model was strongly supported for all four organizations at all three points of measurement, accounting for 40%--60% of the variance in usefulness perceptions and 34%--52% of the variance in usage intentions. Both social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) significantly influenced user acceptance. These findings advance theory and contribute to the foundation for future research aimed at improving our understanding of user adoption behavior.
10930157
Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan.
Web-based e-learning is not restricted by time or place and can provide teachers with a learning environment that is flexible and convenient, enabling them to efficiently learn, quickly develop their professional expertise, and advance professionally. Many research reports on web-based e-learning have neglected the role of the teacher's perspective in the acceptance of using web-based e-learning systems for in-service education. We distributed questionnaires to 402 junior high school teachers in central Taiwan. This study used the Technology Acceptance Model (TAM) as our theoretical foundation and employed the Structure Equation Model (SEM) to examine factors that influenced intentions to use in-service training conducted through web-based e-learning. The results showed that motivation to use and Internet self-efficacy were significantly positively associated with behavioral intentions regarding the use of web-based e-learning for in-service training through the factors of perceived usefulness and perceived ease of use. The factor of computer anxiety had a significantly negative effect on behavioral intentions toward web-based e-learning in-service training through the factor of perceived ease of use. Perceived usefulness and motivation to use were the primary reasons for the acceptance by junior high school teachers of web-based e-learning systems for in-service training.
65814
The influence of system characteristics on e-learning use
The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested alternative models that seek to explain student intention to use an e-learning system when the system is used as a supplementary learning tool within a traditional class or a stand-alone distance education method. The models integrated determinants from the well-established technology acceptance model as well as system and participant characteristics cited in the research literature. Following a demonstration and use phase of the e-learning system, data were collected from 259 college students. Structural equation modeling provided better support for a model that hypothesized stronger effects of system characteristics on e-learning system use. Implications for both researchers and practitioners are discussed.
16792474
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms and changes over time. The current work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use. The model proposes control (internal and external--conceptualized as computer self-efficacy and facilitating conditions, respectively), intrinsic motivation (conceptualized as computer playfulness), and emotion (conceptualized as computer anxiety) as anchors that determine early perceptions about the ease of use of a new system. With increasing experience, it is expected that system-specific perceived ease of use, while still anchored to the general beliefs regarding computers and computer use, will adjust to reflect objective usability, perceptions of external control specific to the new system environment, and system-specific perceived enjoyment. The proposed model was tested in three different organizations among 246 employees using three measurements taken over a three-month period. The proposed model was strongly supported at all points of measurement, and explained up to 60% of the variance in system-specific perceived ease of use, which is twice as much as our current understanding. Important theoretical and practical implications of these findings are discussed.
45545959
User Acceptance Towards Web-based Learning Systems: Investigating the Role of Social, Organizational and Individual Factors in European Higher Education
Abstract Due to the rapid growth of internet technology, British universities and higher educational institutions around the world are investing heavily in web-based learning systems to support their traditional teaching and to improve their students’ learning experience and performance. However, the success of an e-learning system depends on the factors that influence the students’ acceptance and usage of such learning systems. So far little research has been done on the important role that social, institutional and individual factors may play in the use and adoption of the e-learning system. In this paper, the technology acceptance model (TAM) is extended to include social, institutional and individual factors in the general structural model to empirically investigate and study whether students are willing to adopt and use e-learning systems. Data were collected using a cross-sectional survey completed by a total of 604 British university students who are using web-based learning systems at Brunel University in England. After performing the satisfactory reliability and validity checks, the hypothesized research model was estimated using structural equation modeling. The results have revealed that perceived ease of use (PEOU), perceived usefulness (PU), social norms (SN), quality of work Life (QWL), computer self-efficacy (SE) and facilitating conditions (FC) are all having a significant positive influence on the adoption and usage of Blackboard system. With QWL; the newly added variable; was found to be the strongest and the most important factor. Overall, the proposed model achieves acceptable fit and explains for 69% of its variance of which is higher than that of the original TAM. Our findings have demonstrated policy makers should take into account that e- learning implementation is not simply a technological solution, but they should also address individual differences by considering a set of critical success factors such as social, institutional and individual factors.
10687264
Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry
This study aims to identify, using an extended Technology-Acceptance Model (TAM), the factors affecting the decision of using a web-based learning system among blue-collar workers in the automotive industry. A structural equation-modeling approach was applied to identify the variables that significantly affect the decision of using the system. Using LISREL 8.54, data collected from 546 blue-collar workers were used to test the proposed research model. Empirical testing of the extended TAM found all paths to be significant in the hypothesized directions, that is, the results of the study strongly support the application of extended TAM in predicting the blue-collar workers' intention to use a web-based learning system. Among the factors, social influence is a much stronger predictor of user intention compared to others. The study concludes with the implications of this study for managers and recommendations for possible future research.
41209800
E-learning Motivation and Educational Portal Acceptance in Developing Countries
Purpose – The purpose of this paper is to: empirically validate a modified unified theory of acceptance and use of technology (UTAUT) model by adding an “e‐learning motivation” construct in the South American context; try to determine the role of e‐learning motivation in the use and adoption of e‐learning systems and conversely the effect of technology on students' e‐learning motivation; and to test region and gender as moderators in the model.Design/methodology/approach – A survey method was used to collect data from 47 schools located at different regions: the coast, Andes, and jungle of Peru. The partial least square technique was used for data analysis.Findings – It was found that “e‐learning motivation” and “social influence” had a positive influence on behavioural intention, while “facilitating condition” had no effect on e‐learning portal use. Furthermore, use behaviour had a positive influence on e‐learning motivation. Also found was the moderating role of “region”.Research limitations/implication...
5676829
The acceptance and use of a virtual learning environment in China
The success of a virtual learning environment (VLE) depends to a considerable extent on student acceptance and use of such an e-learning system. After critically assessing models of technology adoption, including the Technology Acceptance Model (TAM), TAM2, and the Unified Theory of Acceptance and Usage of Technology (UTAUT), we build a conceptual model to explain the differences between individual students in the level of acceptance and use of a VLE. This model extends TAM2 and includes subjective norm, personal innovativeness in the domain of information technology, and computer anxiety. Data were collected from 45 Chinese participants in an Executive MBA program. After performing satisfactory reliability and validity checks, the structural model was tested with the use of PLS. Results indicate that perceived usefulness has a direct effect on VLE use. Perceived ease of use and subjective norm have only indirect effects via perceived usefulness. Both personal innovativeness and computer anxiety have direct effects on perceived ease of use only. Implications are that program managers in education should not only concern themselves with basic system design but also explicitly address individual differences between VLE users.
220766
Computer Self-Efficacy: Development of a Measure and Initial Test
This paper discusses the role of individuals' beliefs about their abilities to competently use computers (computer self-efficacy) in the determination of computer use. A survey of Canadian managers and professionals was conducted to develop and validate a measure of computer self-efficacy and to assess both its impacts and antecedents. Computer self- efficacy was found to exert a significant influence on individuals' expectations of the outcomes of using computers, their emotional reactions to computers (affect and anxiety), as well as their actual computer use. An individual's self-efficacy and outcome expecta- tions were found to be positively influenced by the encouragement of others in their work group, as well as others' use of computers. Thus, self-efficacy represents an important individual trait, which moderates organizational influences (such as encouragement and support) on an individual's decision to use computers. Understanding self-efficacy, then, is important to the successful implementation of systems in organizations. The existence of a reliable and valid measure of self-efficacy makes assessment possible and should have implications for organizational support, training, and implementation.
46682805
Understanding Web-based learning continuance intention: The role of subjective task value
The success of Web-based learning depends on learner loyalty, i.e., subsequent continued usage (continuance). We extended the Unified Theory of Acceptance and Use of Technology (UTAUT) by introducing components of subjective task value into a model for studying learners' continuance intentions in Web-based learning. Based on survey data from 286 respondents, SEM was employed to assess the model. The results indicated that performance expectancy, effort expectancy, computer self-efficacy, attainment value, utility value, and intrinsic value were significant predictors of individuals' intentions to continue using Web-based learning, while anxiety had a significant negative effect. The results suggested the beneficial effect of positive subjective task value on stimulating learners' intentions to continue using Web-based learning, which is as important as performance expectancy and effort expectancy. Implications and limitations of our study are discussed.
9919021
Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model
With the growing reliance on computerized systems and increasing rapidity of the introduction of new technologies, user acceptance of technology continues to be an important issue. Drawing upon recent findings in information systems, human computer interaction, and social psychology, the present research extends the technology acceptance model by incorporating the motivation variables of self-efficacy, enjoyment, and learning goal orientation in order to predict the use of Web-based information systems. One hundred nine subjects participated in the study, which was conducted in a field setting with the Blackboard system, a Web-based class management system. A survey was administered after a 2-week trial period and the actual use of the system was recorded by the Blackboard system over 8 weeks. The results largely support the proposed model, highlighting the important roles of self-efficacy, enjoyment, and learning goal orientation in determining the actual use of the system. Practical implications of the results are provided.
18308804
Gender differences in perceptions and relationships among dominants of e-learning acceptance
Abstract This research attempts to extrapolate the results of education research about computer usage and IS research about technology acceptance to e-learning. Based on the Technology Acceptance Model (TAM), the objectives of this study are to explore gender differences in perceptions and relationships among dominants affecting e-learning acceptance. A survey of 67 female and 89 male employees taken from six international companies at the Hsin-Chu Science-based Industrial Park in Taiwan shows that men’s rating of computer self-efficacy, perceived usefulness, perceived ease of use, and behavioral intention to use e-learning are all higher than women’s. Additionally, we found that women were more strongly influenced by perceptions of computer self-efficacy and ease of use, and that men’s usage decisions were more significantly influenced by their perception of usefulness of e-learning. These findings also suggest that researchers should take into consideration factors of gender in the development and testing of e-learning theories. Managers and co-workers, moreover, should realize that e-learning may be perceived differently by women and men. Based on these findings, implications for theory and practice are discussed.
144063242
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1
Previous research indicates that perceived usefulness is a major determinant and predictor of intentions to use computers in the workplace. In contrast, the impact of enjoyment on usage intentions has not been examined. Two studies are reported concerning the relative effects of usefulness and enjoyment on intentions to use, and usage of, computers in the workplace. Usefulness had a strong effect on usage intentions in both Study 1, regarding word processing software (β=.68), and Study 2, regarding business graphics programs (β=.79). As hypothesized, enjoyment also had a significant effect on intentions in both studies, controlling for perceived usefulness (β=.16 and 0.15 for Studies 1 and 2, respectively). Study 1 found that intentions correlated 0.63 with system usage and that usefulness and enjoyment influenced usage behavior entirely indirectly through their effects on intentions. In both studies, a positive interaction between usefulness and enjoyment was observed. Together, usefulness and enjoyment explained 62% (Study 1) and 75% (Study 2) of the variance in usage intentions. Moreover, usefulness and enjoyment were found to mediate fully the effects on usage intentions of perceived output quality and perceived ease of use. As hypothesized, a measure of task importance moderated the effects of ease of use and output quality on usefulness but not on enjoyment. Several implications are drawn for how to design computer programs to be both more useful and more enjoyable in order to increase their acceptability among potential users.
62819711
Enabling Idea Generation through Computer-Assisted Collaborative Learning
This article puts forward a three related case study series, using a Virtual Reality Learning Environment (VRLE) with a view to supporting the development of students' ideation skills in conventional primary and secondary education. Since this learning environment is fairly new it is necessary to examine its educational uses and determine if the new learning environment will meet teachers’ expectations. Therefore, the overall goal for this research was twofold: a) to explore the ways in which idea generation was developed during students’ work in an enjoyable environment b) to assess the way VRLE affects students’ ability to generate new ideas and pass on knowledge. The data collected was qualitative and the analysis was based on grounded theory principles and an interpretive paradigm.
168139204
Evaluating structural equation models with unobservable variables and measurement error.
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...
145392590
Tests of the Three-Path Mediated Effect
In a three-path mediational model, two mediators intervene in a series between an independent and a dependent variable. Methods of testing for mediation in such a model are generalized from the more often used single-mediator model. Six such methods are introduced and compared in a Monte Carlo study in terms of their Type I error, power, and coverage. Based on its results, the joint significance test is preferred when only a hypothesis test is of interest. The percentile bootstrap and bias-corrected bootstrap are preferred when a confidence interval on the mediated effect is desired, with the latter having more power but also slightly inflated Type I error in some conditions.
4833016
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.
154562456
Theorizing, testing, and concluding for mediation in SCM research: Tutorial and procedural recommendations
Abstract Empirical research in Supply Chain Management is increasingly interested in complex models involving mediation effects. We support these endeavors by directing attention to the practices for the theorizing of, the testing for, and the drawing of conclusions about mediation effects. Our paper synthesizes diverse literature in other disciplines to provide an accessible tutorial as to the mathematical foundation of mediation effects and the various methods available to test for these effects. We also provide guidance to SCM scholars in the form of eight recommendations aimed at improving the theorizing of, the testing for, and the drawing of conclusions about mediation effects. Recommendations pertaining to how mediation effects are hypothesized and stated and how to select among methods to test for mediation effects are novel contributions for and beyond the Supply Chain Management discipline.
197460696
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Mediation is said to occur when a causal effect of some variable X on an outcome Y is explained by some intervening variable M. The authors recommend that with small to moderate samples, bootstrap methods (B. Efron & R. Tibshirani, 1993) be used to assess mediation. Bootstrap tests are powerful because they detect that the sampling distribution of the mediated effect is skewed away from 0. They argue that R. M. Baron and D. A. Kenny's (1986) recommendation of first testing the X --> Y association for statistical significance should not be a requirement when there is a priori belief that the effect size is small or suppression is a possibility. Empirical examples and computer setups for bootstrap analyses are provided.
2016309
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. Confidence limits for the indirect effect are also typically based on critical values from the standard normal distribution. This article uses a simulation study to demonstrate that confidence limits are imbalanced because the distribution of the indirect effect is normal only in special cases. Two alternatives for improving the performance of confidence limits for the indirect effect are evaluated: (a) a method based on the distribution of the product of two normal random variables, and (b) resampling methods. In Study 1, confidence limits based on the distribution of the product are more accurate than methods based on an assumed normal distribution but confidence limits are still imbalanced. Study 2 demonstrates that more accurate confidence limits are obtained using resampling methods, with the bias-corrected bootstrap the best method overall.