Determinants of User Intention in Using e-Learning Technology in Indonesian Context: An Empirical Study

Tanduklangi, Amri

doi:10.5901/mjss.2017.v8n3p69

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…For example, organizational support for innovation (OSI), namely 'the expectation, approval, and practical support of attempts to introduce new and improved ways of doing things in the work environment' [69] (p. 28), seems to be a key factor that can facilitate the adoption of new technologies [38]. Indeed, some studies found significant relationships among OSI and the usefulness/ease of use of technology [69][70][71][72], as well as intention to use [73]. On the contrary, a lack of organizational support can undermine the company's efforts to introduce new technology [38,74].…”

Section: Organizational Variablesmentioning

confidence: 99%

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Paganin

Simbula

2021

IJERPH

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Organizations are interested in finding new and more effective ways to promote the well-being of their workers, to help their workers manage work-related stress. New technologies (e.g., smartphones) are cheaper, allow more workers to be reached, and guarantee their anonymity. However, not all employees agree on the use of new technological interventions for the promotion of well-being. Consequently, organizations need to investigate technological acceptance before introducing these tools. By considering the technology acceptance model (TAM) framework, we investigate both the influence of workers’ perceived usefulness and ease of use on their intentions to use apps that help them managing work stress. Moreover, we contribute to the extension of this model by considering both personal (i.e., self-efficacy, personal innovativeness) and organizational (i.e., organizational support for innovation) variables. Our research involved 251 participants who completed an online self-report questionnaire. The results confirm the central hypothesis of the TAM and the influence of other variables that could influence acceptance of new technologies, such as apps that help manage work stress, and the intentions to use them. These results could help organizations ensure technological acceptance and usage by their workers, increasing the effectiveness of new technologies and interventions to promote well-being.

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Section: Organizational Variablesmentioning

confidence: 99%

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

Paganin

Simbula

2021

IJERPH

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“…With the Internet getting more powerful day by day and along with it are the e-learning environments as one of the direct beneficiaries, researchers and academicians have been extending their studies into advanced courses and fields such as Engineering [5], Mathematics [6], Economics [7], Physics [8], Medicine [9] and many more just to dive deeper into students' perceptions. Apart from these, there are also a lot of research papers that extensively studied factors that affect e-learning technology readiness and acceptance in different setting from neighboring countries such as Malaysia [10][11], Thailand [12][13], Indonesia [14][15] to a not so much outside Asia like Turkey [16] and Sri Lanka [17] up to other continents like Africa [18] and America [19].…”

Section: Introductionmentioning

confidence: 99%

E-Learning Technology Adoption in the Philippines: An Investigation of Factors Affecting Filipino College Students' Acceptance of Learning Management Systems

Garcia¹

2017

IJEETDM

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When combined, education and technology can build dynamic teaching and learning experiences that are tailored to developing and transforming the educators and learners needed to power the digital economy. For some reasons, however, there is still a big chunk of people especially students who aren't ready yet to embrace the technological change in the field of education. This study aims to determine the factors affecting students' e-learning technology acceptance particularly on Learning Management Systems (LMS) in the Filipino context. A conceptual model was proposed based on the Technology Acceptance Model (TAM) which was extended through the inclusion of Internet Connectivity Experience (ICE), Social Media Influence (SMI), Integrated Multimedia Instruction (IMI), System Interactivity (SI) and Perceived Quality Work of Life (PQWL) as additional predictor values. The constructs were determined according to the three-tier use model (3-TUM) which was characterized to explore users' attitudes towards IT at three levels. The target population in this research was Filipino students from colleges that are considered as promoters of elearning integration in the educational sphere in the Philippines. The collected data from 629 Filipino college students were analyzed using structural equation modeling (SEM) technique based on AMOS methods. Finally, a path model was created to examine the relationships between the factors to explain students' adoption of e-learning technology from the information systems acceptance point of view. As a result, it provided practical and technical implications applicable for local and global school environments that could help educational leaders, educational technologists, educators and learners in their development, implementation, and acceptance of e-learning technology like LMS.

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“…This result is consistent with past studies like Davis (1989), Venkatesh and Davis (1996), Muk and Chung (2015), Sanchez-Prieto et al (2016) who also found that perceived ease of use positively affects customers' intention of using SST. According to Tanduklangi (2017) and Setiawan et al (2018), the level of individual intention on using SST increases when the person feels it is relatively simple to operate the technology without over-relying on others for help.…”

Section: Resultsmentioning

confidence: 99%

Factors Affecting Generation Z’s Intention to Use Self-Service Technology (Sst)

Chow

Yeow

See

2022

JBMA

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As the world moves towards a technological era, various innovations have been introduced across different industries in order to meet customers’ expectations and enhance service quality. Self-service Technology (SST) is one innovation that can be commonly found across industries, and has gained high popularity among users. The main objective of this study is to examine the factors that affect customer intention in using SST, specifically among Generation Z. It examines the relationship between the independent variables of perceived ease of use, perceived usefulness, need of interaction, and technology anxiety and the dependent variable of customer intention in using SST. A questionnaire survey adopted in this study secured the required information from 152 target respondents. Analyses of responses explained 65.5% variances in customer intention of using SST. The research findings established through data analysed with SPSS version 27 application, suggest that perceived ease of use and perceived usefulness have positive significant relationships towards customer intention of using SST, but no significant relationship was found on need of interaction and technology anxiety in customer intention of using SST. Therefore, in order to encourage and attract potential and future users to utilise the service of SST, the system and function of SST need to be upgraded consistently to ensure it brings benefits and usefulness to users. Besides, a company can also educate users on ways to operate the SST in order to enhance the level of ease of use, and to increase the awareness of the usefulness of SST among users. The limitations and recommendations of future study are discussed at the end of the paper.

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Determinants of User Intention in Using e-Learning Technology in Indonesian Context: An Empirical Study

Cited by 9 publications

References 22 publications

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?

E-Learning Technology Adoption in the Philippines: An Investigation of Factors Affecting Filipino College Students' Acceptance of Learning Management Systems

Factors Affecting Generation Z’s Intention to Use Self-Service Technology (Sst)

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