Understanding the Employee’s Intention to Use Information System: Technology Acceptance Model and Information System Success Model Approach

Martono, S.; Nurkhin, Ahmad; Mukhibad, Hasan; Anisykurlillah, Indah; Wolor, Christian Wiradendi

doi:10.13106/jafeb.2020.vol7.no10.1007

Cited by 29 publications

(17 citation statements)

References 28 publications

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“…In general, the better the quality of information presented by IT, the easier it is for users to use the technology (C. C. Chen & Tsai, 2019; Martono et al, 2020). A possible explanation for this is that during the VR-based teaching process, the information quality of VR technology is first perceived by students, not teachers.…”

Section: Discussionmentioning

confidence: 99%

“…The regression model supported the hypothesis that "the information quality of VR technology will positively influence teachers' perceived usefulness" but rejected the hypothesis that "the information quality of VR technology positively affects teachers' perceived ease-of-use," which contradicts most ISSM studies. In general, the better the quality of information presented by IT, the easier it is for users to use the technology (C. C. Chen & Tsai, 2019;Martono et al, 2020). A possible explanation for this is that during the VR-based teaching process, the information quality of VR technology is first perceived by students, not teachers.…”

Section: Major Findingsmentioning

confidence: 99%

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Factors Influencing School Teachers’ Continuous Usage Intention of Using VR Technology for Classroom Teaching

Liang

Liu

2022

Sage Open

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Teachers’ continuous usage intention for virtual reality (VR) technology is a prerequisite for achieving its expected educational value in elementary and secondary education. Through a comprehensive model considering task-technology fit (TTF) and usage satisfaction, this study involved an analysis framework for the intention of teachers to continue using VR technology for classroom teaching. A questionnaire survey was conducted on 291 teachers of elementary and secondary schools in Jiangsu Province, China, to identify factors affecting their continuous usage intention for VR technology. The results indicated that perceived usefulness and perceived ease-of-usage significantly impacted usage satisfaction. Surprisingly, usage satisfaction did not promote continuous usage intention. System quality and service quality of VR technology were key factors influencing perceived usefulness and perceived ease-of-use, respectively. Meanwhile, TTF promoted teachers’ continuous usage intention while being positively affected by quality factors. Therefore, teachers are more concerned about optimizing pedagogical effectiveness by VR technology. Thus, further applications of VR technology in teaching should focus on improving the application modes. Moreover, a teaching environment supporting the pedagogical application of VR technology and a more autonomous classroom ecology for teachers to conduct VR-supported classroom teaching reform may be important factors to promote teachers’ usage intention for VR technology.

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Section: Discussionmentioning

confidence: 99%

Section: Major Findingsmentioning

confidence: 99%

Factors Influencing School Teachers’ Continuous Usage Intention of Using VR Technology for Classroom Teaching

Liang

Liu

2022

Sage Open

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“…Other areas of study, such as a financial information system in an Indonesian university by Martono et al (2020), an electronic record management system in Yemen's oil and gas industry (Hawash et al, 2021), and a personalized location-based mobile tourism application (C.-C. Chen & Tsai, 2019), showed that system quality had an indirect effect on users' intentions through perceived usefulness. Likewise, the perceived usefulness of a branded sports mobile app mediates the influence of the app's quality and also its content or information on its usage intention among participants from several fitness centers and sports parks in Korea (Won et al, 2022).…”

Section: Perceived Benefits Of Mkmsmentioning

confidence: 99%

The Relationship Between Critical Success Factors, Perceived Benefits, and Usage Intention of Mobile Knowledge Management Systems in the Malaysian Semiconductor Industry

Cheak

Chong

Yuen

et al. 2022

IJIKM

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Aim/Purpose: This study examined the relationship between critical success factors (CSFs), perceived benefits, and usage intention of Mobile Knowledge Management Systems (MKMS) via an integrated Technology Acceptance Model (TAM) and Information Systems Success Model (ISSM). Background: This study investigates the CSFs (i.e., Strategic Leadership, Employee Training, System Quality, and Information Quality) that impact the usage intention of KMS in mobile contexts which have been neglected. Since users normally consider the usefulness belief in a system before usage, this study examines the role of perceived benefits as a mediator between the CSFs and usage intention. Methodology: A survey-based research approach in the Malaysian semiconductor industry was employed via an integrated model of TAM and ISSM. At a response rate of 59.52%, the findings of this study were based on 375 usable responses. The data collected was analyzed using the Partial Least Squares with SmartPLS 3.0. Contribution: This study contributes to the body of knowledge in the areas of mobile technology acceptance and knowledge management. Specifically, it helps to validate the integrated model of TAM and ISSM with the CSFs from knowledge management and information system. In addition, it provides the would-be adopters of MKMS with valuable guidelines and insights to consider before embarking on the adoption stage. Findings: The findings suggest that Employee Training and Information Quality have a positive significant relationship with Perceived MKMS Benefits. On the contrary, Strategic Leadership, System Quality, and Perceived User-friendliness showed an insignificant relationship with Perceived MKMS Benefits. Additionally, Employee Training and Information Quality have an indirect relationship with MKMS Usage Intention which is mediated by Perceived MKMS Benefits. Recommendations for Practitioners: The findings are valuable for managers, engineers, KM practitioners, KM consultants, MKMS developers, and mobile device producers to enhance MKMS usage intention. Recommendation for Researchers: Researchers would be able to conduct more inter-disciplinary studies to better understand the relevant issues concerning both fields – knowledge management and mobile computing disciplines. Additionally, the mediation effect of TAM via Perceived Usefulness (i.e., perceived MKMS benefits) on usage intention of MKMS should be further investigated with other CSFs. Future Research: Future studies could perhaps include other critical factors from both KM and IS as part of the external variables. Furthermore, Perceived Ease of Use (i.e., Perceived User-friendly) should be tested as a mediator in the future, together with Perceived Usefulness (i.e., perceived MKMS Benefits) to compare which would be a more powerful predictor of usage intention. Moreover, it may prove interesting to find out how the research framework would fit into other industries to verify the findings of this study for better accuracy and generalizability.

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“…Performance expectancy is defined as a way to determine the extent to which someone believes using technology will follow the desired expectations (Subawa et al, 2021). Research by Martono et al (2020),…”

Section: Performance Expectancymentioning

confidence: 99%

Consumer Behavior in Adopting Application-Based Transportation Services

Lie

Efendi

Siregar

et al. 2022

IJGOIA

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With the rapid development and use of information technology in various fields, who can say that information technology is the main pillar that provides added value to society in the development process towards a developed nation? Moreover, information technology has entered all fields or sectors, especially transportation. One transportation service that takes advantage of the speed of access to information is the JAKET application-based transportation. The urgency of this study is to determine the level of acceptance of consumer technology in adopting JAKET application-based transportation services using the UTAUT 2 model approach. The sample used in this study was 120 respondents who used the JAKET application. The data collection process will be carried out from January to February 2021. The data collection used a survey with 33 question constructs, summarized in eight manifest variables. This study uses Structural Equation Modeling with a variance-based or component-based approach with Partial Least Square. This study's results indicate that performance expectancy, effort expectancy, hedonic motivation, and perceived risk significantly affect behavioral intention. Following that, there was no significant influence of social influence, facilitating conditions, or behavioral intention habits.

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Understanding the Employee’s Intention to Use Information System: Technology Acceptance Model and Information System Success Model Approach

Cited by 29 publications

References 28 publications

Factors Influencing School Teachers’ Continuous Usage Intention of Using VR Technology for Classroom Teaching

Factors Influencing School Teachers’ Continuous Usage Intention of Using VR Technology for Classroom Teaching

The Relationship Between Critical Success Factors, Perceived Benefits, and Usage Intention of Mobile Knowledge Management Systems in the Malaysian Semiconductor Industry

Consumer Behavior in Adopting Application-Based Transportation Services

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