Examining technology readiness constructs: A validation study

This study validates technology readiness (TR) constructs in the context of public sector higher education institutions (HEIs) of Sultanate of Oman.Using a structured self ministered questionnaire, the data was duly collected from three hundred and thirty four educationists ranking from assistant le...

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Main Authors: Ali, B., Nawanir, G., Nasidi, Y., Bamgbade, Jibril Adewale
Format: Article
Language:English
Published: Akademia Baru 2016
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/19493/1/JARBMS%203%201%202016%2071%2084.pdf
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author Ali, B.
Nawanir, G.
Nasidi, Y.
Bamgbade, Jibril Adewale
author_facet Ali, B.
Nawanir, G.
Nasidi, Y.
Bamgbade, Jibril Adewale
author_sort Ali, B.
collection UUM
description This study validates technology readiness (TR) constructs in the context of public sector higher education institutions (HEIs) of Sultanate of Oman.Using a structured self ministered questionnaire, the data was duly collected from three hundred and thirty four educationists ranking from assistant lecturers to full professors.While employing PLS-SEM technique, the data was analyzed using Smart-PLS 2.0 M3 software. Results of this study revealed that all the dimensions of technology readiness namely; optimism, innovativeness, discomfort and insecurity were highly relevant.It also established an adequate level of internal consistency reliability, convergent validity and discriminant validity for each of the constructs of the technology readiness. Based on the results, it is suggested that the TR instrument could be useful for measuring all the constructs of technology readiness to study consumers’ tendency to adopt innovations or to accept the latest technologies.
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spelling uum-194932016-11-15T02:08:51Z https://repo.uum.edu.my/id/eprint/19493/ Examining technology readiness constructs: A validation study Ali, B. Nawanir, G. Nasidi, Y. Bamgbade, Jibril Adewale T Technology (General) This study validates technology readiness (TR) constructs in the context of public sector higher education institutions (HEIs) of Sultanate of Oman.Using a structured self ministered questionnaire, the data was duly collected from three hundred and thirty four educationists ranking from assistant lecturers to full professors.While employing PLS-SEM technique, the data was analyzed using Smart-PLS 2.0 M3 software. Results of this study revealed that all the dimensions of technology readiness namely; optimism, innovativeness, discomfort and insecurity were highly relevant.It also established an adequate level of internal consistency reliability, convergent validity and discriminant validity for each of the constructs of the technology readiness. Based on the results, it is suggested that the TR instrument could be useful for measuring all the constructs of technology readiness to study consumers’ tendency to adopt innovations or to accept the latest technologies. Akademia Baru 2016 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/19493/1/JARBMS%203%201%202016%2071%2084.pdf Ali, B. and Nawanir, G. and Nasidi, Y. and Bamgbade, Jibril Adewale (2016) Examining technology readiness constructs: A validation study. Journal of Advanced Research in Business and Management Studies, 3 (1). pp. 71-84. ISSN 2462-1935 http://www.akademiabaru.com/doc/ARBMSV3_N1_P71_84.pdf
spellingShingle T Technology (General)
Ali, B.
Nawanir, G.
Nasidi, Y.
Bamgbade, Jibril Adewale
Examining technology readiness constructs: A validation study
title Examining technology readiness constructs: A validation study
title_full Examining technology readiness constructs: A validation study
title_fullStr Examining technology readiness constructs: A validation study
title_full_unstemmed Examining technology readiness constructs: A validation study
title_short Examining technology readiness constructs: A validation study
title_sort examining technology readiness constructs a validation study
topic T Technology (General)
url https://repo.uum.edu.my/id/eprint/19493/1/JARBMS%203%201%202016%2071%2084.pdf
work_keys_str_mv AT alib examiningtechnologyreadinessconstructsavalidationstudy
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