Abhulimen, P E (2024) The influence of information-sharing and trust on competitiveness and organizational performance in construction supply chain management. DBA thesis, Keiser University, USA.
Abstract
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.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Tucker, D |
| Uncontrolled Keywords: | communication; competitive advantage; competitiveness; construction firms; construction supply chain; quantitative research; supply chain management; trust |
| Index terms: | practitioner, methodology, construction firm, survey, strategy, regression analysis, dissertation, statistics, construction industry, construction supply chain, organizational performance, competitiveness, information sharing, validity, deviation, performance outcome, quantitative research, competitive advantage, regression model |
| Subjects: | financial and cost management, data analysis and analytics, value management, construction logistics, mathematical modelling, data collection methods, statistical analysis, industry analysis, data exchange, performance measurement, management, practitioner, organization, research dissemination and communication, evaluation and assessment methods, market analysis, research methods |
| Topics: | Digital Applications, Cost Management, Business Strategy, Research Practice, Roles and Professions, Quality Management, Supply Chain Management, Project Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here