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The Influence of Information-Sharing...

Abhulimen, Peter E.,

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The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management // Peter E Abhulimen.
Author:	Abhulimen, Peter E.,
Description:	1 electronic resource (162 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
Contained By:	Dissertations Abstracts International86-06B.
Subject:	Architectural engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31763186
ISBN:	9798346806530

The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management /
Abhulimen, Peter E.,

The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management /Peter E Abhulimen. - 1 electronic resource (162 pages)

Source: Dissertations Abstracts International, Volume: 86-06, Section: B.

The construction industry is highly competitive and complex, requiring effective information sharing and trust among stakeholders to enhance competitiveness and organizational performance. This dissertation examines the influence of information sharing and trust on construction firms' competitiveness and organizational performance. Utilizing quantitative research methodology, data were collected from 324 respondents in the construction industry through structured surveys. The study employed Pearson correlation and regression analyses to explore the relationships among the variables. The Pearson correlation results indicated strong positive relationships between information sharing, trust, competitiveness, and organizational performance. Specifically, information sharing and trust enhanced competitiveness and organizational performance significantly. Regression analyses further confirmed these findings, with robust Durbin-Watson statistics indicating minimal autocorrelation and standard P-P plots supporting the normality of residuals. The Shapiro-Wilk test results showed that the data for all variables were not normally distributed, prompting the use of appropriate statistical techniques to ensure the validity of the results. The residual scatterplots for the regression models showed a relatively random distribution of residuals around zero, with minor deviations suggesting some degree of heteroscedasticity. However, these deviations were minimal and did not significantly impact the overall model fit. This research underscores the critical role of effective information sharing and trust in enhancing construction firms' competitiveness and organizational performance. The findings provide valuable insights for construction industry practitioners and policymakers, emphasizing the need for strategies that foster open communication and trust among stakeholders to achieve sustainable competitive advantage and improved performance outcomes.

English

ISBN: 9798346806530Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Competitiveness

The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management /
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100 1 $a Abhulimen, Peter E., $e author. $3 3816533
245 1 0 $a The Influence of Information-Sharing and Trust on Competitiveness and Organizational Performance in Construction Supply Chain Management / $c Peter E Abhulimen.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (162 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
500 $a Advisors: Tucker, David Committee members: Eggertson, Matthias; Djokic, Boris.
502 $b D.B.A. $c Keiser University $d 2024.
520 $a The construction industry is highly competitive and complex, requiring effective information sharing and trust among stakeholders to enhance competitiveness and organizational performance. This dissertation examines the influence of information sharing and trust on construction firms' competitiveness and organizational performance. Utilizing quantitative research methodology, data were collected from 324 respondents in the construction industry through structured surveys. The study employed Pearson correlation and regression analyses to explore the relationships among the variables. The Pearson correlation results indicated strong positive relationships between information sharing, trust, competitiveness, and organizational performance. Specifically, information sharing and trust enhanced competitiveness and organizational performance significantly. Regression analyses further confirmed these findings, with robust Durbin-Watson statistics indicating minimal autocorrelation and standard P-P plots supporting the normality of residuals. The Shapiro-Wilk test results showed that the data for all variables were not normally distributed, prompting the use of appropriate statistical techniques to ensure the validity of the results. The residual scatterplots for the regression models showed a relatively random distribution of residuals around zero, with minor deviations suggesting some degree of heteroscedasticity. However, these deviations were minimal and did not significantly impact the overall model fit. This research underscores the critical role of effective information sharing and trust in enhancing construction firms' competitiveness and organizational performance. The findings provide valuable insights for construction industry practitioners and policymakers, emphasizing the need for strategies that foster open communication and trust among stakeholders to achieve sustainable competitive advantage and improved performance outcomes.
546 $a English
590 $a School code: 1704
650 4 $a Architectural engineering. $3 3174102
650 4 $a Engineering. $3 586835
653 $a Competitiveness
653 $a Effective information sharing and trust
653 $a Regression analyses
653 $a Supply chain management
653 $a Organizational performance
690 $a 0462
690 $a 0310
690 $a 0537
710 2 $a Keiser University. $b Keiser University Graduate School-Business. $e degree granting institution. $3 3816534
720 1 $a Tucker, David $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-06B.
790 $a 1704
791 $a D.B.A.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31763186