Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context
The purpose of this confirmatory study is to explore the factors influencing the acceptance of e-District services by the citizens in Assam, a north-east state of India. Taking Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) and Technology Acceptance Mo...
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Format: | Article |
Language: | English |
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EconJournals
2017-01-01
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Series: | International Review of Management and Marketing |
Online Access: | https://www.econjournals.com/index.php/irmm/article/view/3445 |
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author | Kuldeep Baishya Harsh Vardhan Samalia Rohit Joshi |
author_facet | Kuldeep Baishya Harsh Vardhan Samalia Rohit Joshi |
author_sort | Kuldeep Baishya |
collection | DOAJ |
description |
The purpose of this confirmatory study is to explore the factors influencing the acceptance of e-District services by the citizens in Assam, a north-east state of India. Taking Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) and Technology Acceptance Model 3 (TAM3) as the basis, a conceptual framework is developed. The study uses semi-structured interviews, focus groups, and a questionnaire based survey through 166 valid data points to validate the conceptual framework. Moreover, the internal consistency of the scale items is checked with Cronbach's alpha coefficient while the convergent and discriminant validities are checked with multitrait-multimethod matrix. This study confirms the positive relationship of ‘Perceived Usefulness' and ‘Facilitating Conditions' with ‘Behavioral Intention' while the expected positive relationship of ‘Effort Expectancy' and ‘Social Influence' with ‘Behavioral Intention' are found to be insignificant. Also, the study cannot find a significant negative relationship between ‘Computer Anxiety' and ‘Behavioral Intention'.
Keywords: E-governance, Adoption, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, E-District.
JEL Classifications: M00, M15, M38
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first_indexed | 2024-04-10T14:11:41Z |
format | Article |
id | doaj.art-0b316911a9344198b43b8c35c5387d58 |
institution | Directory Open Access Journal |
issn | 2146-4405 |
language | English |
last_indexed | 2024-04-10T14:11:41Z |
publishDate | 2017-01-01 |
publisher | EconJournals |
record_format | Article |
series | International Review of Management and Marketing |
spelling | doaj.art-0b316911a9344198b43b8c35c5387d582023-02-15T16:09:42ZengEconJournalsInternational Review of Management and Marketing2146-44052017-01-0171Factors Influencing E-district Adoption: An Empirical Assessment in Indian ContextKuldeep Baishya0Harsh Vardhan Samalia1Rohit Joshi2Rajiv Gandhi Indian Institute of Management, ShillongRajiv Gandhi Indian Institute of Management, ShillongRajiv Gandhi Indian Institute of Management, Shillong The purpose of this confirmatory study is to explore the factors influencing the acceptance of e-District services by the citizens in Assam, a north-east state of India. Taking Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM) and Technology Acceptance Model 3 (TAM3) as the basis, a conceptual framework is developed. The study uses semi-structured interviews, focus groups, and a questionnaire based survey through 166 valid data points to validate the conceptual framework. Moreover, the internal consistency of the scale items is checked with Cronbach's alpha coefficient while the convergent and discriminant validities are checked with multitrait-multimethod matrix. This study confirms the positive relationship of ‘Perceived Usefulness' and ‘Facilitating Conditions' with ‘Behavioral Intention' while the expected positive relationship of ‘Effort Expectancy' and ‘Social Influence' with ‘Behavioral Intention' are found to be insignificant. Also, the study cannot find a significant negative relationship between ‘Computer Anxiety' and ‘Behavioral Intention'. Keywords: E-governance, Adoption, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, E-District. JEL Classifications: M00, M15, M38 https://www.econjournals.com/index.php/irmm/article/view/3445 |
spellingShingle | Kuldeep Baishya Harsh Vardhan Samalia Rohit Joshi Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context International Review of Management and Marketing |
title | Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context |
title_full | Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context |
title_fullStr | Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context |
title_full_unstemmed | Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context |
title_short | Factors Influencing E-district Adoption: An Empirical Assessment in Indian Context |
title_sort | factors influencing e district adoption an empirical assessment in indian context |
url | https://www.econjournals.com/index.php/irmm/article/view/3445 |
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