Exploring technology adoption measures among academicians and its influence on their research practices and performance
The advent of technology may dramatically alter academic research and performance. This study uses the Unified Theory of Adoption and Use of Technology (UTAUT) and Task-Technology Fit (TTF) theories to examine how technology adoption influence Research Performance conducted with sample size of 1,35...
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| Format: | Article |
| Language: | English |
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Italian e-Learning Association
2024-10-01
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| Series: | Je-LKS: Journal of E-Learning and Knowledge Society |
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| Online Access: | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1136038 |
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| author | Indrajit Doddanavar Mr. Amit Subramanyam Vijaylaxmi Dombar Lakshmi Subramanyam Latha B R Chandana H S |
| author_facet | Indrajit Doddanavar Mr. Amit Subramanyam Vijaylaxmi Dombar Lakshmi Subramanyam Latha B R Chandana H S |
| author_sort | Indrajit Doddanavar |
| collection | DOAJ |
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The advent of technology may dramatically alter academic research and performance. This study uses the Unified Theory of Adoption and Use of Technology (UTAUT) and Task-Technology Fit (TTF) theories to examine how technology adoption influence Research Performance conducted with sample size of 1,354 South Indian private institution Assistant Professors, with perception as a moderating factor. The research uses Structural Equation Modelling (SEM) with SmartPLS 4.0 to reveal that Performance Expectancy (PE) greatly influence Behavioral Intention (BI) to adopt technology. Higher Performance Expectancy (PE) leads to a stronger intention to use technology. Effort Expectancy (EE) also boosts BI, emphasizing the role of usability in setting user intentions. Technology adoption depends on Social Influence (SI), along with peer and social norms affect BI. Effective technology adoption requires Facilitating Conditions (FC) and enough resources and infrastructure. Task Characteristics (TC) and Technology Characteristics (TCh) greatly alter Task-Technology Fit (TTF), which enhances research procedures. TTF improves research practices but hurts research performance, demonstrating that improved techniques do not necessarily translate to better performance ratings, highlighting the intricacy of task-technology compatibility and research results.
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| format | Article |
| id | doaj-art-b7cdf4e2760149ef9a9a5e8e95105628 |
| institution | OA Journals |
| issn | 1826-6223 1971-8829 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Italian e-Learning Association |
| record_format | Article |
| series | Je-LKS: Journal of E-Learning and Knowledge Society |
| spelling | doaj-art-b7cdf4e2760149ef9a9a5e8e951056282025-08-20T02:37:23ZengItalian e-Learning AssociationJe-LKS: Journal of E-Learning and Knowledge Society1826-62231971-88292024-10-0120310.20368/1971-8829/1136038Exploring technology adoption measures among academicians and its influence on their research practices and performanceIndrajit DoddanavarMr. Amit Subramanyam0Vijaylaxmi DombarLakshmi SubramanyamLatha B RChandana H SRani Channamma University The advent of technology may dramatically alter academic research and performance. This study uses the Unified Theory of Adoption and Use of Technology (UTAUT) and Task-Technology Fit (TTF) theories to examine how technology adoption influence Research Performance conducted with sample size of 1,354 South Indian private institution Assistant Professors, with perception as a moderating factor. The research uses Structural Equation Modelling (SEM) with SmartPLS 4.0 to reveal that Performance Expectancy (PE) greatly influence Behavioral Intention (BI) to adopt technology. Higher Performance Expectancy (PE) leads to a stronger intention to use technology. Effort Expectancy (EE) also boosts BI, emphasizing the role of usability in setting user intentions. Technology adoption depends on Social Influence (SI), along with peer and social norms affect BI. Effective technology adoption requires Facilitating Conditions (FC) and enough resources and infrastructure. Task Characteristics (TC) and Technology Characteristics (TCh) greatly alter Task-Technology Fit (TTF), which enhances research procedures. TTF improves research practices but hurts research performance, demonstrating that improved techniques do not necessarily translate to better performance ratings, highlighting the intricacy of task-technology compatibility and research results. https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1136038AcademiciansResearch PracticesResearch PerformanceUTAUTTTFModeration |
| spellingShingle | Indrajit Doddanavar Mr. Amit Subramanyam Vijaylaxmi Dombar Lakshmi Subramanyam Latha B R Chandana H S Exploring technology adoption measures among academicians and its influence on their research practices and performance Je-LKS: Journal of E-Learning and Knowledge Society Academicians Research Practices Research Performance UTAUT TTF Moderation |
| title | Exploring technology adoption measures among academicians and its influence on their research practices and performance |
| title_full | Exploring technology adoption measures among academicians and its influence on their research practices and performance |
| title_fullStr | Exploring technology adoption measures among academicians and its influence on their research practices and performance |
| title_full_unstemmed | Exploring technology adoption measures among academicians and its influence on their research practices and performance |
| title_short | Exploring technology adoption measures among academicians and its influence on their research practices and performance |
| title_sort | exploring technology adoption measures among academicians and its influence on their research practices and performance |
| topic | Academicians Research Practices Research Performance UTAUT TTF Moderation |
| url | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1136038 |
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