Subtopic Deep Dive
Knowledge Management for Value Management
Research Guide
What is Knowledge Management for Value Management?
Knowledge Management for Value Management applies knowledge capture, sharing, and organizational learning practices to enhance value engineering processes in construction projects.
This subtopic examines IT tools and repositories for storing best practices in value management teams (Zavadskas et al., 2010; 440 citations). Researchers focus on stakeholder knowledge integration for project success (Yang et al., 2009; 252 citations). Over 1,000 papers link knowledge factors to construction value outcomes.
Why It Matters
Knowledge management enables repeatable value improvements in construction by codifying stakeholder expertise, reducing risks in projects (Zavadskas et al., 2010). It boosts workforce productivity through shared motivational factors and best practices (Kazaz et al., 2008). Hatush and Skitmore (1997) show contractor prequalification data repositories improve time, cost, and quality metrics in value-driven selections.
Key Research Challenges
Capturing tacit knowledge
Value management teams struggle to convert informal expertise into repositories amid project pressures (Yang et al., 2009). Zavadskas et al. (2010) highlight attribute selection challenges in multi-stakeholder risk knowledge. This limits innovation repeatability.
Integrating stakeholder knowledge
Differing perceptions across groups hinder unified knowledge bases (Davis, 2017). Yang et al. (2009) identify critical success factors varying by stakeholder type. Construction contexts amplify coordination barriers.
Measuring knowledge impact
Quantifying knowledge contributions to value outcomes remains elusive (Hussain et al., 2018). Structural equation models reveal indirect quality effects but lack direct metrics. Gudienė et al. (2014) note AHP limitations in dynamic evaluations.
Essential Papers
https://journals.vgtu.lt/index.php/JCEM/article/view/5898
Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jolanta Tamošaitienė · 2010 · Journal of Civil Engineering and Management · 440 citations
The paper presents risk assessment of construction projects. The assessment is based on the multi‐attribute decision‐making methods. The risk evaluation attributes are selected taking into consider...
EXPLORING CRITICAL SUCCESS FACTORS FOR STAKEHOLDER MANAGEMENT IN CONSTRUCTION PROJECTS
Rebecca Yang, Qiping Shen, Christabel Man‐Fong Ho et al. · 2009 · Journal of Civil Engineering and Management · 252 citations
With a focus on different aspects of stakeholder management, various sets of critical success factors (CSFs) have been suggested in the literature. It is crucial to explore the relative importance ...
Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects
Shahid Hussain, Fangwei Zhu, Ahmed Faisal Siddiqi et al. · 2018 · Sustainability · 235 citations
The quality of the constructed social infrastructure project has been considered a necessary measure for the sustainability of projects. Studies on factors affecting project quality have used vario...
Evaluating contractor prequalification data: selection criteria and project success factors
Zedan Hatush, Martin Skitmore · 1997 · Construction Management and Economics · 221 citations
A Delphic study investigating the perceived relationship between 20 contractor selection criteria (CSC) currently in use and project success factors (PSFs) in terms of time, cost and quality is des...
EFFECT OF BASIC MOTIVATIONAL FACTORS ON CONSTRUCTION WORKFORCE PRODUCTIVITY IN TURKEY/PAGRINDINIŲ MOTYVACIJOS VEIKSNIŲ ĮTAKA STATYBOS PRODUKTYVUMUI TURKIJOJE
Aynur Kazaz, Ekrem Manisalı, Serdar Ulubeyli · 2008 · Journal of Civil Engineering and Management · 218 citations
Human resource today has a strategic role for productivity increase of any organization, and this makes it superior in the industrial competition. With the effective and optimum usage of it, all th...
Leading UK housebuilders' utilization of offsite construction methods
Wei Pan, Alistair Gibb, Andrew Dainty · 2007 · Building Research & Information · 215 citations
In recent years the construction industry has been exhorted to increase its utilization of offsite technologies, or 'Modern Methods of Construction' (MMC), in order to address the under-supply and ...
Construction professionals' perception of critical success factors for large‐scale construction projects
Shamas‐ur‐Rehman Toor, Stephen O. Ogunlana · 2009 · Construction Innovation · 188 citations
Purpose Large‐scale construction projects pose several challenges for successful completion. There seems to be no general agreement among researchers on what are the critical success factors (CSFs)...
Reading Guide
Foundational Papers
Start with Zavadskas et al. (2010; 440 citations) for multi-attribute basics in value-risk knowledge, then Hatush and Skitmore (1997; 221 citations) for selection criteria linking to success factors.
Recent Advances
Study Hussain et al. (2018; 235 citations) for quality models and Davis (2017; 158 citations) for stakeholder perceptions in modern projects.
Core Methods
Core techniques: AHP (Gudienė et al., 2014), Delphi for criteria (Hatush and Skitmore, 1997), structural equations (Hussain et al., 2018).
How PapersFlow Helps You Research Knowledge Management for Value Management
Discover & Search
Research Agent uses citationGraph on Zavadskas et al. (2010; 440 citations) to map 50+ papers linking multi-attribute methods to knowledge in value management, then exaSearch for 'knowledge repositories construction value engineering'. findSimilarPapers expands to stakeholder CSFs from Yang et al. (2009).
Analyze & Verify
Analysis Agent runs readPaperContent on Gudienė et al. (2014) AHP models, verifiesResponse with CoVe against Hatush and Skitmore (1997) data, and runPythonAnalysis on citation networks using pandas for CSF correlations. GRADE grading scores evidence strength for knowledge impact claims.
Synthesize & Write
Synthesis Agent detects gaps in tacit knowledge capture across Pan et al. (2007) and Kazaz et al. (2008), flags contradictions in productivity factors. Writing Agent applies latexEditText for value management frameworks, latexSyncCitations for 10+ papers, and latexCompile for reports; exportMermaid diagrams AHP hierarchies.
Use Cases
"Analyze correlations between knowledge factors and project success in construction value management using stats."
Research Agent → searchPapers 'knowledge value management construction' → Analysis Agent → runPythonAnalysis (pandas correlation on CSFs from Yang et al. 2009 and Gudienė et al. 2014 datasets) → matplotlib plots of productivity impacts.
"Write LaTeX review on stakeholder knowledge integration for value engineering."
Synthesis Agent → gap detection in Davis (2017) → Writing Agent → latexEditText (add sections on Zavadskas 2010), latexSyncCitations (Hatush 1997 et al.), latexCompile → PDF with value management knowledge framework.
"Find code for AHP models in value management papers."
Research Agent → searchPapers 'AHP value management construction' → Code Discovery → paperExtractUrls (Gudienė 2014) → paperFindGithubRepo → githubRepoInspect → Python AHP implementation for risk assessment.
Automated Workflows
Deep Research workflow scans 50+ papers via citationGraph from Zavadskas et al. (2010), structures report on knowledge CSFs with GRADE scores. DeepScan applies 7-step CoVe to verify Kazaz et al. (2008) motivational factors against Hussain et al. (2018) models. Theorizer generates hypotheses on knowledge repositories for offsite methods from Pan et al. (2007).
Frequently Asked Questions
What defines Knowledge Management for Value Management?
It involves capturing and sharing knowledge to optimize value engineering in projects, focusing on repositories and stakeholder integration (Yang et al., 2009).
What methods are used?
Multi-attribute decision-making (Zavadskas et al., 2010), AHP for CSFs (Gudienė et al., 2014), and structural equation modeling for quality factors (Hussain et al., 2018).
What are key papers?
Zavadskas et al. (2010; 440 citations) on risk assessment, Yang et al. (2009; 252 citations) on stakeholder CSFs, Hatush and Skitmore (1997; 221 citations) on prequalification.
What open problems exist?
Challenges include tacit knowledge capture, stakeholder perception alignment (Davis, 2017), and direct metrics for knowledge-value impact.
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Part of the Value Engineering and Management Research Guide