Technology Readiness and Technology Acceptance Model in New Technology Implementation Process in Low Technology SMEs

Larasati, Niken

doi:10.18178/ijimt.2017.8.2.713

Cited by 48 publications

(56 citation statements)

References 10 publications

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“…However, TAM does not emphasize on people's tendency to use technology. The Technology Readiness Index (TRI) consists of four dimensions, namely optimism, innovativeness, discomfort and insecurity [17]. TRI emphasize on people's tendency to use new technologies for accomplishing their task at home life or workplace.…”

Section: Methodsmentioning

confidence: 99%

The effectiveness of frog VLE implementation: students’ perspective

Majid

Hasim

2019

IJEECS

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This paper presents the effectiveness of the Frog VLE implementation from students’ perspectives. Virtual Learning Environment (VLEs) is an online systems supporting interactions between and amongst learners and teachers in school. The Frog VLE is a web-based learning system that replicates real life learning by incorporating virtual learning equivalent of traditional concepts of education with the aim to enhance the learning experience beyond the bounded classroom background. Previous studies have identified some difficulties in the Frog VLE implementation such as competency of the teachers and student, facilities and infrastructure of implementing the Frog VLE in school. Therefore, the aim of this study is to measure the effectiveness of the Frog VLE implementation from student perspective as VLE platform may lead to the performance improvement among the students. A survey was conducted with 315 participants, consists of Year 4 and Year 5 primary school students in Shah Alam. The result of the study shows that from the “nature of student self, teacher’s competency, useful and ease of use of the application, and conducive learning environment have improve students’ academic performance and motivation.

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Section: Methodsmentioning

confidence: 99%

The effectiveness of frog VLE implementation: students’ perspective

Majid

Hasim

2019

IJEECS

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“…fundamental strength. TAM has been empirically verified as an instrument for predicting technology use (Szajna 1996;Howell 2016;Larasati and Santosa 2017;Xie et al 2017;Verma and Sinha 2018) and emerged as the dominant model in the literature (Davis 1993;Szajna 1994;Venkatesh 2000;Venkatesh and Davis 2000).…”

Section: Apte and Petrovsky (2016)mentioning

confidence: 99%

“…While Optimism and Innovativeness are considered as the motivators of the technology, insecurity and discomfort work as inhibitors. TRI has been used in combination with TAM to predict the technology adoption in the past (Pattansheti et al 2016;Larasati and Santosa 2017). A review of recent studies using TAM, TRI and TPB are presented in Table 2.…”

Section: Technology Readiness Index (Tri)mentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

683

457

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Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories-technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs-Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.

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“…In accordance with the research objective and consistent with the related literature, the research model, as shown in Figure 1, is based mainly on the Technology Acceptance Model (TAM) presented by (Davis 1989) with additional considerations of the Technology Readiness Index (TRI) proposed by Parasuraman (2000). The proposed model consists of the core constructs of both TAM and TRI and is largely similar to Pires, Filho, & Cunha (2011) in a study assessing critical aspects of consumer use and acceptance of technology-based products and services and Larasiti, Widyawan & Santosa (2017)…”

Section: Research Modelmentioning

confidence: 99%

Integration of Technology Readiness Index (TRI) Into the Technology Acceptance Model (TAM) for Explaining Behavior in Adoption of BIM

Lai¹,

Lee²

2020

AES

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Recently, Building Information Modelling (BIM) technology has attracted much attention in the Architecture, Engineering and Construction (AEC) industry and is becoming globally-recognized standards. The primary objective of this study is to gain better understanding of the drivers and barriers to the adoption of BIM.There is abundance of theories on technology adoption among which this study applies the Technology Acceptance Model (TAM) proposed by Davis (1989) to analyze the adoption and the use of the BIM technology by exploring implications of perceived ease of use, perceived usefulness, attitudes, behavioral intention and actual usage. In addition, this study integrates Technology Readiness Index (TRI) to explain adoption of BIM.With data collected through an online survey, findings of this study will assist in explaining behavior in adoption of BIM that may facilitate realizing the advantages of the BIM technology.

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Technology Readiness and Technology Acceptance Model in New Technology Implementation Process in Low Technology SMEs

Abstract: His research expertise is in information systems (business informatics), user experience, interaction design, web design, software engineering, human-computer interaction, mobile computing, usability, gesture recognition, user studies etc. He is a faculty member in the

Cited by 48 publications

References 10 publications

The effectiveness of frog VLE implementation: students’ perspective

The effectiveness of frog VLE implementation: students’ perspective

Understanding the Blockchain technology adoption in supply chains-Indian context

Integration of Technology Readiness Index (TRI) Into the Technology Acceptance Model (TAM) for Explaining Behavior in Adoption of BIM

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