Framework to identify and evaluate the cause of conflicts within a Matrix organization in construction industry using fuzzy expert system

Rathore, Zenith; Radwan, Ahmed E.; Elwakil, Emad

doi:10.1109/nafips-wconsc.2015.7284149

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A fuzzy expert system was used to develop a framework to identify and evaluate the causes of conflicts within a matrix organization in the construction industry. This system will help develop a suitable organizational structure that meets the requirements of the construction industry [163].…”

Section: A New and Promising Area Of Researchmentioning

confidence: 99%

Decision Support Systems in Construction: A Bibliometric Analysis

Minhas

Potdar

2020

Buildings

View full text Add to dashboard Cite

In recent years, the use of decision support systems for selecting sustainable construction materials in the building and commercial construction projects has received a great deal of attention. This paper reports an in-depth and systematic bibliometric analysis of the literature using Decision Support Systems (DSSs) for its construction, based on the papers published during the period from 2000 to 2016. The data were collected from two major databases, Web of Science (WoS) and Scopus, which included 2185 and 3233 peer reviewed articles, respectively. The analysis includes a general bibliometric analysis (publications output, country-wise research output, authorship, and collaboration patterns of these published articles). It also includes a citation analysis (keywords, most cited keywords, organizations, most cited articles, and average citations per article) and a network analysis (authors and countries). Overall, this study provides bibliometric insights and future research directions for researchers and practitioners who use DSSs.

show abstract

Section: A New and Promising Area Of Researchmentioning

confidence: 99%

Decision Support Systems in Construction: A Bibliometric Analysis

Minhas

Potdar

2020

Buildings

View full text Add to dashboard Cite

show abstract

“…The factors that affect organizations' performance must be fully understood to achieve success (Kaplan and Norton 1995), as well as diversity in the perception of success factors between different functional units within the same organization. A Critical Success Factors (CSFs) evaluation has been found to be the most appropriate methodology to assess and evaluate the organization's performance in order to achieve its main goal of developing a comprehensive monitoring system that contains corporate-wide indicators of success (Holohan 1992;Rathore et al 2015;. Tsiga et al (2016) identified 58 success factors that were then classified into 11 groups.…”

Section: Introductionmentioning

confidence: 99%

Integrating AHP-Fuzzy Model for Assessing Construction Organizations’ Performance

Elwakil¹

2016

IJAEC

Self Cite

View full text Add to dashboard Cite

Organizations performance assessment is a critical aspect in today's project management research. Construction organizations face difficulties in performance assessment, stemming from the uncertain, fragmented, and unique nature of construction industry. Most of the research neglected the different perspectives of construction organizations' functional units when assessing their performance. Therefore, the goal of this research is to design a comprehensive performance assessment model through identifying and ranking a set of critical success factors (CSFs). Four assessment models are developed to reflect the different perspectives of four functional units in construction organizations. Analytical Hierarchy Process and Fuzzy Expert System are used for data analysis and models development. The research findings indicate that the CSFs factors in construction organizations have different priorities and weights according to different functional units. The validation results range from 84% to 93%. Overall, performance assessment models will benefit organizations in assessing performance according to the perspectives of different individuals.

show abstract

Framework to identify and evaluate the cause of conflicts within a Matrix organization in construction industry using fuzzy expert system

Cited by 2 publications

References 7 publications

Decision Support Systems in Construction: A Bibliometric Analysis

Decision Support Systems in Construction: A Bibliometric Analysis

Integrating AHP-Fuzzy Model for Assessing Construction Organizations’ Performance

Contact Info

Product

Resources

About