Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies

Ong, Chorng‐Shyong; Lai, Jung‐Yu; Wang, Yi-Shun

doi:10.1016/j.im.2003.08.012

Cited by 513 publications

(403 citation statements)

References 31 publications

Supporting

Mentioning

336

Contrasting

Unclassified

Order By: Relevance

“…Elearning is the term broadly used to describe instructional material or learning experience disseminated or enabled by electronic technologies [3]. In general, E-learning can be thought of as the learning process created by interaction with digitally delivered content, services, and support.…”

Section: Imentioning

confidence: 99%

“…[1] and Rosenberg [2] defined e-learning as the utilization of internet and related technologies to provide a wide array of solutions that improves knowledge and performance. Elearning is the term broadly used to describe instructional material or learning experience disseminated or enabled by electronic technologies [3]. In general, E-learning can be thought of as the learning process created by interaction with digitally delivered content, services, and support.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Technology Availability and Self-Efficacy on E-learning Usage

Thakkar¹

2018

IJRASET

View full text Add to dashboard Cite

India is on the road of incorporating electronic learning and related technologies in the education system. The goal is to develop standard learning environment for the large population with resources on hand. Despite of several advantages of elearning, it would not be meaningful if leaners don't adapt to it. The factors that influence students' intensions towards using elearning systems are worth to study. This empirical study is based on revised Technology Acceptance Model (TAM) and it analyses the effect of two external factors, technology availability and self-efficacy on the behavioural intention of students to use e-learning. The responses were collected from 54 diploma engineering students and the collected data was assessed for their inclination towards using e-learning. The results of the study may be significant to educationists and decision makers to implement e-learning strategies. Keywords: e-learning, online learning, self-efficacy, behavioural intention, technology acceptance model I.INTRODUCTION There are many definitions of e-learning across available literature. Wentling et. al.[1] and Rosenberg [2] defined e-learning as the utilization of internet and related technologies to provide a wide array of solutions that improves knowledge and performance. Elearning is the term broadly used to describe instructional material or learning experience disseminated or enabled by electronic technologies [3]. In general, E-learning can be thought of as the learning process created by interaction with digitally delivered content, services, and support. It involves intensive use of information and communication technology to serve, facilitate, and revolutionize the learning process. E-learning can theoretically incorporate all the other types of learning. The government is very keen on incorporating information and communication technologies in academics. Universities along with government bodies have put steps in the direction of making Wi-Fi-enabled campuses and hence building necessary technological infrastructure for the coming era of e-learning. Availability of technology to access online learning resources plays a vital role in the process of digital learning. In addition, the young generation is regarded as digital natives. Therefore, it is crucial to reveal the effect of their computer self-efficacy (SE) on their behavioural intention (BI) towards use of e-learning systems. Technology acceptance model (TAM) is widely used for predicting user's behavioural intention to use the system [4, 5 and 6]. This paper uses revised technology acceptance model [7] and tries to examine the effect of two crucial factors technology availability (TA) and self-efficacy (SE) on behavioural intention (BI) to use e-learning. The relationship of these factors with TAM elements perceived usefulness (PU) and perceived ease of use (PEOU) is examined which influences behavioural intention (BI) that in turn leads to actual system usage.

show abstract

Section: Imentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of Technology Availability and Self-Efficacy on E-learning Usage

Thakkar¹

2018

IJRASET

View full text Add to dashboard Cite

show abstract

“…Esto coincide con los resultados que se obtuvieron en otras investigaciones similares (Al-Mushasha & Ieee, 2013;Arteaga & Duarte, 2010;Cheng, 2011;Hsiao et al, 2013;Kiliç, 2014;Y.-H. Lee, Hsieh & Ma, 2011;Mbarek & Zaddem, 2013;Ong, Lai & Wang, 2004;RamirezAnormaliza et al, 2015).…”

Section: Discusión Y Conclusiónunclassified

Aceptación y uso de los sistemas e-learning por estudiantes de Grado de Ecuador: El caso de una universidad estatal

Ramírez-Anormaliza

Sabaté²,

Llinàs‐Audet

et al. 2017

View full text Add to dashboard Cite

ResumenObjeto: El objetivo de esta investigación fue adaptar el Modelo de Aceptación de la Tecnología (TAM) para predecir el uso y la intención de uso de los sistemas e-learning entre los estudiantes de grado de una universidad estatal en Ecuador, con la intención de mejorar el entendimiento de los factores que puedan potenciar el uso de estos sistemas y facilitar la aplicación de políticas para incrementar los beneficios que éstos aportan al proceso de enseñanza y aprendizaje.Diseño/metodología/enfoque: El análisis tiene fundamento epistemológico en lo empírico-inductivo, basado en la observación de la percepción. En base a la revisión de la literatura científica sobre la evaluación y aceptación de los sistemas e-learning, se ha adaptado el modelo al caso de Ecuador y se ha elaborado un cuestionario con 52 ítems basado en escalas de Likert. El instrumento fue enviado por correo electrónico a 600 estudiantes de grado de una universidad estatal en Ecuador, respondiendo satisfactoriamente 423 de ellos. Se realizaron comprobaciones de validez y fiabilidad del modelo de ecuaciones estructurales por mínimos cuadrados parciales (PLS), con el soporte del software estadístico SmartPLS.-548-

show abstract

“…The technology acceptance model (TAM) proposed by Davis [10] and Davis et al [11] derived from TRA has been widely used in explaining the adoption and usage of information technologies (IT) [21,22,28,48,61,62]. TAM predicts user acceptance of any technology to be determined by two factors: perceived usefulness and perceived ease of use.…”

Section: The Theory Of Reasoned Action and Trusting Beliefsmentioning

confidence: 99%

The importance of trusting beliefs linked to the corporate website for diffusion of recruiting-related online innovations

2010

View full text Add to dashboard Cite

Recruiting-related online innovations represent growing and high-potential opportunities for employers to broaden the reach of their recruiting efforts as well as reduce costs. The diffusion of innovative approaches for online recruiting, however, may experience bias due to potential employees' lack of trust in firms offering positions online, particularly when the firms are small, operate in a risky industry, or are relatively unknown. We use the theory of reasoned action to propose that users of a corporate website develop trust beliefs with regard to three characteristics of the firm: ability, integrity, and benevolence. We have proposed three hypotheses highlighting the importance of trust generated by the corporate website in potential employees. Our experimental results involved a sample of 218 potential employees. These subjects were offered a consulting position in a fictional firm, which could only be known through its corporate website. Although previous literature has paid marginal attention to the influence of users' beliefs regarding corporate integrity and benevolence, our findings showed that users' perceptions of the corporate website regarding firm integrity and benevolence increased the users' willingness to accept a job at the firm. We propose implications of our results for practitioners and for the literature of trust in online contexts.

show abstract

Factors affecting engineers’ acceptance of asynchronous e-learning systems in high-tech companies

Cited by 513 publications

References 31 publications

Impact of Technology Availability and Self-Efficacy on E-learning Usage

Impact of Technology Availability and Self-Efficacy on E-learning Usage

Aceptación y uso de los sistemas e-learning por estudiantes de Grado de Ecuador: El caso de una universidad estatal

The importance of trusting beliefs linked to the corporate website for diffusion of recruiting-related online innovations

Contact Info

Product

Resources

About