Multi-level analysis framework for reviewing IDT-based studies

Researchers have for years emphasized the value of multi-level studies. This research attempts to develop a framework for analyzing IT adoption studies from a multi-level perspective. Specifically, it examines research involving Innovation Diffusion Theory (IDT), using a framework devised on the mul...

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Autores principales:	Mahdi Omidi, Qingfei Min, Ali Omidi
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2017
Materias:	multi-level analysis innovation diffusion theory it adoption construct it systems Business HF5001-6182 Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/4ea791c748a3487792deb825fdc3757b
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spelling	oai:doaj.org-article:4ea791c748a3487792deb825fdc3757b2021-12-02T10:44:30ZMulti-level analysis framework for reviewing IDT-based studies2331-197510.1080/23311975.2017.1339338https://doaj.org/article/4ea791c748a3487792deb825fdc3757b2017-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2017.1339338https://doaj.org/toc/2331-1975Researchers have for years emphasized the value of multi-level studies. This research attempts to develop a framework for analyzing IT adoption studies from a multi-level perspective. Specifically, it examines research involving Innovation Diffusion Theory (IDT), using a framework devised on the multi-level analysis guidelines proposed by two studies. Four empirical IDT-based research papers are reviewed by applying the developed multi-level analysis framework. In doing so, this paper finds that by following the proposed framework, researchers can avoid the weakness of level bias caused by single-level analysis. In addition, the framework provides insights for managerial strategies in successful information system implementation, adoption and diffusion. Finally, the proposed framework can be referenced by future researchers for conducting multi-level analysis on IT adoption-related topics.Mahdi OmidiQingfei MinAli OmidiTaylor & Francis Grouparticlemulti-level analysisinnovation diffusion theoryit adoptionconstruct it systemsBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 4, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-level analysis innovation diffusion theory it adoption construct it systems Business HF5001-6182 Management. Industrial management HD28-70
spellingShingle	multi-level analysis innovation diffusion theory it adoption construct it systems Business HF5001-6182 Management. Industrial management HD28-70 Mahdi Omidi Qingfei Min Ali Omidi Multi-level analysis framework for reviewing IDT-based studies
description	Researchers have for years emphasized the value of multi-level studies. This research attempts to develop a framework for analyzing IT adoption studies from a multi-level perspective. Specifically, it examines research involving Innovation Diffusion Theory (IDT), using a framework devised on the multi-level analysis guidelines proposed by two studies. Four empirical IDT-based research papers are reviewed by applying the developed multi-level analysis framework. In doing so, this paper finds that by following the proposed framework, researchers can avoid the weakness of level bias caused by single-level analysis. In addition, the framework provides insights for managerial strategies in successful information system implementation, adoption and diffusion. Finally, the proposed framework can be referenced by future researchers for conducting multi-level analysis on IT adoption-related topics.
format	article
author	Mahdi Omidi Qingfei Min Ali Omidi
author_facet	Mahdi Omidi Qingfei Min Ali Omidi
author_sort	Mahdi Omidi
title	Multi-level analysis framework for reviewing IDT-based studies
title_short	Multi-level analysis framework for reviewing IDT-based studies
title_full	Multi-level analysis framework for reviewing IDT-based studies
title_fullStr	Multi-level analysis framework for reviewing IDT-based studies
title_full_unstemmed	Multi-level analysis framework for reviewing IDT-based studies
title_sort	multi-level analysis framework for reviewing idt-based studies
publisher	Taylor & Francis Group
publishDate	2017
url	https://doaj.org/article/4ea791c748a3487792deb825fdc3757b
work_keys_str_mv	AT mahdiomidi multilevelanalysisframeworkforreviewingidtbasedstudies AT qingfeimin multilevelanalysisframeworkforreviewingidtbasedstudies AT aliomidi multilevelanalysisframeworkforreviewingidtbasedstudies
_version_	1718396761298436096

Multi-level analysis framework for reviewing IDT-based studies

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