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Exploring the Impact of Business Int...

Summers, Christopher.

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Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study./
Author:	Summers, Christopher.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	147 p.
Notes:	Source: Dissertations Abstracts International, Volume: 79-11, Section: B.
Contained By:	Dissertations Abstracts International79-11B.
Subject:	Information Technology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10811559
ISBN:	9780355939361

Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study.
Summers, Christopher.

Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 147 p.

Source: Dissertations Abstracts International, Volume: 79-11, Section: B.

Thesis (Ph.D.)--Northcentral University, 2018.

This item is not available from ProQuest Dissertations & Theses.

The researcher pursued research to address the problem of how business intelligence impacts competitive advantage for small to medium enterprises (SMEs). The purpose the of researcher's non-experimental, quantitative study investigated 91 key participants at the manager and director-level; the researcher assessed their perceptions toward the impact of business intelligence on competitive advantage. Using the technology acceptance model (TAM) as a theoretical foundation, the researcher developed non-experimental, quantitative, internet-based questionnaire to determine if there was a relationship between business intelligence and competitive advantage for SMEs based in the United States. The researcher evaluated operationalized variables using partial least squares structural equation modeling (PLS-SEM) to address the research premise with significance at p <.05 to present results. There were several hypotheses tested and the researcher's results showed the following: business intelligence did not negatively influence firm performance; organizational performance did not positively impact its competitive advantage; information systems infrastructure positively impacted organizational performance; and lastly, the researcher's results showed that environment conditions did not support the positive impact of business intelligence use on competitive advantage. The researcher also presented several recommendations; however, the replication of this study using a longitudinal approach could yield additional insights of the impact of business intelligence on competitive advantage over time.

ISBN: 9780355939361Subjects--Topical Terms:

1030799
Information Technology.

Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study.
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245 1 0 $a Exploring the Impact of Business Intelligence on Competitive Advantage for Small to Medium Enterprises (SMEs): A Quantitative Study.
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500 $a Allen, Brian.
502 $a Thesis (Ph.D.)--Northcentral University, 2018.
506 $a This item is not available from ProQuest Dissertations & Theses.
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506 $a This item must not be sold to any third party vendors.
520 $a The researcher pursued research to address the problem of how business intelligence impacts competitive advantage for small to medium enterprises (SMEs). The purpose the of researcher's non-experimental, quantitative study investigated 91 key participants at the manager and director-level; the researcher assessed their perceptions toward the impact of business intelligence on competitive advantage. Using the technology acceptance model (TAM) as a theoretical foundation, the researcher developed non-experimental, quantitative, internet-based questionnaire to determine if there was a relationship between business intelligence and competitive advantage for SMEs based in the United States. The researcher evaluated operationalized variables using partial least squares structural equation modeling (PLS-SEM) to address the research premise with significance at p <.05 to present results. There were several hypotheses tested and the researcher's results showed the following: business intelligence did not negatively influence firm performance; organizational performance did not positively impact its competitive advantage; information systems infrastructure positively impacted organizational performance; and lastly, the researcher's results showed that environment conditions did not support the positive impact of business intelligence use on competitive advantage. The researcher also presented several recommendations; however, the replication of this study using a longitudinal approach could yield additional insights of the impact of business intelligence on competitive advantage over time.
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