Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/4013
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dc.contributor.authorRouhani, Saeed-
dc.contributor.authorAshraf, Amir-
dc.contributor.authorZare Ravasan, Ahad-
dc.contributor.authorAfshari, Samira-
dc.date.accessioned2020-11-12T01:03:34Z-
dc.date.available2020-11-12T01:03:34Z-
dc.date.issued2018-
dc.identifier.urihttp://localhost/handle/Hannan/4013-
dc.description.abstractDecision support and business intelligence systems have been increasingly adopted in organizations while understanding the nature of affecting factors on such adoption decisions need receiving much academic interest. This article attempts to provide an in-depth analysis toward understanding the critical factors which affect the decision to adopt business intelligence (BI) in the context of the banking and financial industry. In this regard, it examines a conceptual model that shows the impacts of different technological, organizational, and environmental factors in the decision to adopt BI by a firm. Structural equation modeling (SEM) was used for data analysis and test the relevant hypothesis. The results of this article which are derived from the theoretical discussion of hypothesizes show that from nine hypothesized relationships—perceived tangible and intangible benefits, firm size, organizational readiness, strategy, industry competition, and competitors absorptive capacity—affect BIS adoption in the surveyed cases.en_US
dc.language.isoenen_US
dc.subjectAdoption Model, Business Intelligence, Partial Least Squares (PLS), TOE Frameworken_US
dc.titleBusiness Intelligence Systems Adoption Model: An Empirical Investigationen_US
dc.typeArticleen_US
Appears in Collections:مدیریت فناوری اطلاعات

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Business-Intelligence-Systems-Adoption-Model_-An-Empirical-Investigation.pdf696.02 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRouhani, Saeed-
dc.contributor.authorAshraf, Amir-
dc.contributor.authorZare Ravasan, Ahad-
dc.contributor.authorAfshari, Samira-
dc.date.accessioned2020-11-12T01:03:34Z-
dc.date.available2020-11-12T01:03:34Z-
dc.date.issued2018-
dc.identifier.urihttp://localhost/handle/Hannan/4013-
dc.description.abstractDecision support and business intelligence systems have been increasingly adopted in organizations while understanding the nature of affecting factors on such adoption decisions need receiving much academic interest. This article attempts to provide an in-depth analysis toward understanding the critical factors which affect the decision to adopt business intelligence (BI) in the context of the banking and financial industry. In this regard, it examines a conceptual model that shows the impacts of different technological, organizational, and environmental factors in the decision to adopt BI by a firm. Structural equation modeling (SEM) was used for data analysis and test the relevant hypothesis. The results of this article which are derived from the theoretical discussion of hypothesizes show that from nine hypothesized relationships—perceived tangible and intangible benefits, firm size, organizational readiness, strategy, industry competition, and competitors absorptive capacity—affect BIS adoption in the surveyed cases.en_US
dc.language.isoenen_US
dc.subjectAdoption Model, Business Intelligence, Partial Least Squares (PLS), TOE Frameworken_US
dc.titleBusiness Intelligence Systems Adoption Model: An Empirical Investigationen_US
dc.typeArticleen_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File SizeFormat 
Business-Intelligence-Systems-Adoption-Model_-An-Empirical-Investigation.pdf696.02 kBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRouhani, Saeed-
dc.contributor.authorAshraf, Amir-
dc.contributor.authorZare Ravasan, Ahad-
dc.contributor.authorAfshari, Samira-
dc.date.accessioned2020-11-12T01:03:34Z-
dc.date.available2020-11-12T01:03:34Z-
dc.date.issued2018-
dc.identifier.urihttp://localhost/handle/Hannan/4013-
dc.description.abstractDecision support and business intelligence systems have been increasingly adopted in organizations while understanding the nature of affecting factors on such adoption decisions need receiving much academic interest. This article attempts to provide an in-depth analysis toward understanding the critical factors which affect the decision to adopt business intelligence (BI) in the context of the banking and financial industry. In this regard, it examines a conceptual model that shows the impacts of different technological, organizational, and environmental factors in the decision to adopt BI by a firm. Structural equation modeling (SEM) was used for data analysis and test the relevant hypothesis. The results of this article which are derived from the theoretical discussion of hypothesizes show that from nine hypothesized relationships—perceived tangible and intangible benefits, firm size, organizational readiness, strategy, industry competition, and competitors absorptive capacity—affect BIS adoption in the surveyed cases.en_US
dc.language.isoenen_US
dc.subjectAdoption Model, Business Intelligence, Partial Least Squares (PLS), TOE Frameworken_US
dc.titleBusiness Intelligence Systems Adoption Model: An Empirical Investigationen_US
dc.typeArticleen_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File SizeFormat 
Business-Intelligence-Systems-Adoption-Model_-An-Empirical-Investigation.pdf696.02 kBAdobe PDF