The Use of UTAUT Model for Understanding Academicians’ Perception Towards Online Faculty Development Programs (FDP)

Srivastava, Sachin; Bhati, Narender Singh

doi:10.1109/icatmri51801.2020.9398475

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…UTAUT proved to be more successful than the other eight theories in explaining up to 70% of user variance [7]. There are several studies that have tested the acceptance of technology using the UTAUT method and ensured the effectiveness of this model, including the evaluation of the use of WhatsApp for learning during the COVID-19 period at the University of Zimbabwean [8], factors influencing lecturers' intention to use e-learning inenvironment hybrid [9], evaluation of the application of MyUMN as an academic information system using UTAUT at Multimedia Nusantara University [10], and the use of UTAUT to understand academics' perceptions of the Online Faculty Development Program [11]leading to learning through online portals. In the prevailing covid-19 situation, countries experienced lockdown, work from home, and online learning has emerged in a big way.…”

Section: Methods a Unified Theory Of Acceptance And Use Technology (U...mentioning

confidence: 99%

“…Partial Least Square (PLS) becomes the method used in conducting the analysis and then the data is processed with SmartPLS. PLS is a prophetic method that allows to analyze various independent variables, although there is a close correlation between two or more independent variables on these variables [11]. PLS is a method similar to SEM with the use of finding solutions to problems in fairly complex variable relationships.…”

Section: B Outer Model Testmentioning

confidence: 99%

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Academic Information System Assessment of AKRB Yogyakarta Using UTAUT

Reza

Sunardi

Herman

2022

khif

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Implementation of Academic Information System (AIS) at the Radya Binatama Communication Academy (AKRB) had some problems for some users. That problems are known from interviews with several AIS users. This caused a delay in data exchange with other divisions. This study aims to assess the implementation of AIS to the AKRB by using the Unified Theory of Acceptance and Use of Technology (UTAUT) method. UTAUT has four main constructs that affect user acceptance namely performance expectations, effort expectations, social influences, and facilitating conditions. The data were obtained from distributing questionnaires to all AIS users as many as 40 respondents. Then the data is processed using Structural Equation Modeling (SEM) techniques with the help of SmartPLS. The results of the analysis show that only construct facilitating conditions is valid with a t-statistic value of 2.733. While the other three constructs have values that are in the range of invalid values between -1.96 to 1.96 with the values of each construct being 1.891, 0.050, 1.440. It can be concluded that the application of SIA in AKRB has not been well received by all AIS users. Therefore, it is necessary to conduct an evaluation that represents the other three constructs.

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Section: Methods a Unified Theory Of Acceptance And Use Technology (U...mentioning

confidence: 99%

Section: B Outer Model Testmentioning

confidence: 99%

Academic Information System Assessment of AKRB Yogyakarta Using UTAUT

Reza

Sunardi

Herman

2022

khif

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“…In the past, academic researchers have explained and interpreted students' awareness, attitudes, and intentions for e-learning systems at both undergraduate and postgraduate levels (Abu-Al-Aish & Love, 2013;Bellaaj et al, 2015;Olasina, 2019;Salloum & Shaalan, 2019). There are also well-documented studies on the perception of academicians (Abu-Shanab & Ababneh, 2015;Srivastava & Singh Bhati, 2020;Summak et al, 2010) and technology readiness concerning e-services system adoption by consumers (C.-H. , professional students (Ling & Moi, 2007), students pursuing MBA (van der Rhee et al, 2007), and primary school teachers (Summak et al, 2010). What is missing, however, is a detailed study that provides a current state of intentions of doctoral students to learn from online platforms.…”

Section: Introductionmentioning

confidence: 99%

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Singh Bhati,

Srivastava,

Singh Rathore

2023

JITE:IIP

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Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the doctoral students are not yet known. They are an important source of knowledge production in academics by way of teaching and research. Methodology: The researchers collected data from universities in the Delhi National Capital Region (NCR) using a survey method from doctoral students using a convenience sampling method. The model studied was the Technology Readiness and Acceptance Model (TRAM), an integration of the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM). Contribution: TRAM provides empirical evidence that it positively predicts behavioral intentions to learn from online platforms. Hence, the study validated the model among doctoral students from the perspective of a developing nation. Findings: The model variables predicted 49% of the variance in doctoral students’ intent. The TRAM model identified motivating constructs such as optimism and innovativeness as influencing TAM predictors. Finally, doctoral students have positive opinions about the usefulness and ease of use of online learning platforms. Recommendations for Practitioners: Academic leaders motivate scholars to use online platforms, and application developers to incorporate features that facilitate ease of use. Recommendation for Researchers: Researchers can explore the applicability of TRAM in other developing countries and examine the role of cultural and social factors in the intent to adopt online learning. Future Research: The influence of demographic variables on intentions can lead to additional insights.

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Determinants for Adoption of MOOCs from the Perspective of UTAUT

Srivastava

Bhati

2022

2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)

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The Use of UTAUT Model for Understanding Academicians’ Perception Towards Online Faculty Development Programs (FDP)

Cited by 5 publications

References 18 publications

Academic Information System Assessment of AKRB Yogyakarta Using UTAUT

Academic Information System Assessment of AKRB Yogyakarta Using UTAUT

Measurement of Doctoral Students’ Intention to Use Online Learning: A SEM Approach Using the TRAM Model

Determinants for Adoption of MOOCs from the Perspective of UTAUT

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