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An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors./
Author:	Walker, Karen M.
Description:	1 online resource (103 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Contained By:	Dissertation Abstracts International79-03A(E).
Subject:	Business administration. -
Online resource:	click for full text (PQDT)
ISBN:	9780355507799

An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors.
Walker, Karen M.

An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors. - 1 online resource (103 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.

Thesis (D.B.A.)

Includes bibliographical references

Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between variables and BI solutions by examining the independent covariates (size and environment) on the dependent variable of BI maturity. In addition, the research examined the extent that BI maturity is leveraged as an organizational asset. Research questions selected for this study considered the relationship between enterprise size, environment, and SMEs' BI maturity. Contingency theory was used to examine the relationship between variables, characteristics, and performance. A Qualtrics panel was used to distribute the BI maturity model survey to for-profit employers, with 1000 or fewer employees, located within the state of California. Respondents completed 102 surveys, which served as the data source. Descriptive analysis and chi-square were conducted on a sample size of 102. The results of the study revealed no significant relationship between the dependent and independent variables. While the domains of strategy and quality are findings in this research, this study found a significant relationship does not exist between either the organizational size, environment and SMEs' BI maturity. Consideration of the implications that are found in this study apply to both covariances (size and environment). These findings strengthen the need for further SME BI research.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355507799Subjects--Topical Terms:

1148568
Business administration.
Index Terms--Genre/Form:

554714
Electronic books.

An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors.
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100 1 $a Walker, Karen M. $3 1182835
245 1 3 $a An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors.
264 0 $c 2017
300 $a 1 online resource (103 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
500 $a Advisers: Raymond Marbury; William J. McKibbin.
502 $a Thesis (D.B.A.) $c Capella University $d 2017.
504 $a Includes bibliographical references
520 $a Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between variables and BI solutions by examining the independent covariates (size and environment) on the dependent variable of BI maturity. In addition, the research examined the extent that BI maturity is leveraged as an organizational asset. Research questions selected for this study considered the relationship between enterprise size, environment, and SMEs' BI maturity. Contingency theory was used to examine the relationship between variables, characteristics, and performance. A Qualtrics panel was used to distribute the BI maturity model survey to for-profit employers, with 1000 or fewer employees, located within the state of California. Respondents completed 102 surveys, which served as the data source. Descriptive analysis and chi-square were conducted on a sample size of 102. The results of the study revealed no significant relationship between the dependent and independent variables. While the domains of strategy and quality are findings in this research, this study found a significant relationship does not exist between either the organizational size, environment and SMEs' BI maturity. Consideration of the implications that are found in this study apply to both covariances (size and environment). These findings strengthen the need for further SME BI research.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Business administration. $3 1148568
650 4 $a Information science. $3 561178
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0723
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Capella University. $b Business and Technology. $3 1179557
773 0 $t Dissertation Abstracts International $g 79-03A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10682877 $z click for full text (PQDT)