Investigating Greek employees’ intention to use web-based training

Chatzoglou, Prodromos D.; Sarigiannidis, Lazaros; Vraimaki, Eftichia; Diamantidis, Anastasios D.

doi:10.1016/j.compedu.2009.05.007

Cited by 95 publications

(119 citation statements)

References 72 publications

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“…An in-depth literature review of studies related to the usage intention and satisfaction of using e-learning was undertaken. The theoretical model derived is predominantly based on the model derived by Chatzoglou et al (2009). The model was updated by the findings of the literature review and according to the context of this study.…”

Section: Methodsmentioning

confidence: 99%

“…In the respondent pool of this study, there were two groups of respondents: those who have never used an e-learning system before and those who have used or are currently using such a system. This study measured the first group's intention to use an e-learning system and the second group's satisfaction with e-learning, a metric that was not included by Chatzoglou et al (2009) but has been added for the purpose of this study. It was decided to exclude the metrics of management support and learning goal orientation, since these metrics are outside of the scope of this study.…”

Section: Research Metricsmentioning

confidence: 99%

“…Based on the requirements and scope of this study, it was decided that the metrics to be investigated would be adapted from the metrics used in the study by Chatzoglou et al (2009) and other relevant literature due to the context of the study. In the respondent pool of this study, there were two groups of respondents: those who have never used an e-learning system before and those who have used or are currently using such a system.…”

Section: Research Metricsmentioning

confidence: 99%

“…TAM aims to explain the determinants of computer acceptance and consequently the user behav-iour across a diverse range of end-user computing technologies and user profiles (Davis, Bagozzi, & Warshaw, 1989). The remainder of the metrics included in the study are learning goal orientation, management support, self-efficacy, enjoyment, computer anxiety, and intention to use (Chatzoglou et al, 2009). …”

Section: Intention To Use E-learningmentioning

confidence: 99%

“…A study conducted by Chatzoglou, Sarigiannidis, Vraimaki, and Diamantidis (2009) investigated various metrics that, together, can be combined in the form of a model to determine the intention to use e-learning. Perceived usefulness and perceived ease of use are included in the study by Chatzoglou et al (2009) and originated from the Technology Acceptance Model (TAM). TAM aims to explain the determinants of computer acceptance and consequently the user behav-iour across a diverse range of end-user computing technologies and user profiles (Davis, Bagozzi, & Warshaw, 1989).…”

Section: Intention To Use E-learningmentioning

confidence: 99%

See 4 more Smart Citations

Intention to Use and Satisfaction of e-Learning for Training in the Corporate Context

Esterhuyse

Scholtz

Venter

2016

IJIKM

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Together, the fields of education and information technology have identified the need for an online solution to training. The introduction of e-learning has optimised the learning process, allowing organisations to realise the many advantages that e-learning offers. The importance of user involvement in the success of e-learning makes it imperative that the forces driving intention to use e-learning and satisfaction thereof be determined. The purpose of this paper is to investigate the relationships between the metrics influencing intention to use and the satisfaction of using e-learning in companies.The results of a survey distributed amongst a South African software development company's customer base revealed that the 94 respondents have positive enjoyment and self-efficacy levels, and low computer anxiety levels. Correlation analysis revealed significant relationships between enjoyment and self-efficacy and between enjoyment and satisfaction. Companies should therefore ensure that users enjoy using e-learning as it can directly influence satisfaction and self-efficacy.

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Section: Methodsmentioning

confidence: 99%

Section: Research Metricsmentioning

confidence: 99%

Section: Research Metricsmentioning

confidence: 99%

Section: Intention To Use E-learningmentioning

confidence: 99%

Section: Intention To Use E-learningmentioning

confidence: 99%

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Intention to Use and Satisfaction of e-Learning for Training in the Corporate Context

Esterhuyse

Scholtz

Venter

2016

IJIKM

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Predicting the Intention to Use a Web‐Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model

Çalışır

Gümüşsoy

Bayraktaroglu

et al. 2014

Hum Ftrs & Erg Mfg Svc

125

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The aim of this study is to determine the factors affecting blue‐collar workers’ intention to use a web‐based learning system in the preimplementation phase in the automotive industry. For that purpose an extended technology acceptance model (TAM) is proposed, which included factors such as image, perceived content quality, and perceived system quality as additions to the basic model. Data collected from 546 blue‐collar workers were used to test the proposed research model by using Linear Structural Relations software LISREL, Version 8.54. The findings of the study indicate that perceived usefulness is the strongest predictor of behavioral intention to use a web‐based learning system. In addition, a high proportion of perceived usefulness is explained by perceived content quality, and perceived ease of use is explained by perceived system quality and anxiety.

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Factors Affecting Intention to Use Big Data Tools: An Extended Technology Acceptance Model

Okcu

Koksalmis

Basak

et al. 2019

Lecture Notes in Management and Industrial Engineering

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Investigating Greek employees’ intention to use web-based training

Cited by 95 publications

References 72 publications

Intention to Use and Satisfaction of e-Learning for Training in the Corporate Context

Intention to Use and Satisfaction of e-Learning for Training in the Corporate Context

Predicting the Intention to Use a Web‐Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model

Factors Affecting Intention to Use Big Data Tools: An Extended Technology Acceptance Model

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