Subtopic Deep Dive

Risk Management in Value Engineering
Research Guide

What is Risk Management in Value Engineering?

Risk Management in Value Engineering applies systematic risk identification, assessment, and mitigation techniques within value engineering processes to optimize project value while minimizing uncertainties in construction and engineering projects.

This subtopic integrates probabilistic models and decision tools into value engineering for construction risks (Kineber et al., 2021, 113 citations; Gündüz and Almuajebh, 2020, 123 citations). Researchers categorize critical success factors for sustainable projects incorporating risk controls (Oke et al., 2021, 79 citations). Over 10 key papers since 2013 address barriers and implementation in developing countries.

Curated Papers

Key Challenges

Why It Matters

Risk management in value engineering improves project reliability by addressing uncertainties during value optimization, reducing cost overruns in construction (Barrie and Paulson, 1992, 109 citations). Kineber et al. (2020, 74 citations) show value management activities enhance sustainability in Egypt by mitigating risks. Gündüz and Almuajebh (2020, 123 citations) identify CSFs that lower failures in sustainable projects, while Aghimien et al. (2022, 68 citations) highlight digital barriers affecting risk deployment.

Key Research Challenges

Barriers to VM Implementation

Construction industries in developing countries face insufficient VM adoption due to cultural and organizational hurdles (Kim et al., 2016, 68 citations). Surveys reveal limited awareness among practitioners (Bowen et al., 2010, 37 citations). This delays risk mitigation in value processes.

Digital Technology Deployment

Pervasive digital tools struggle with integration into VM practices for risk assessment (Aghimien et al., 2022, 68 citations). Barriers include resistance and infrastructure gaps in construction firms. This limits probabilistic modeling efficiency.

Front-End Risk Identification

Early project stages lack structured risk tools within value engineering (Edkins et al., 2013, 143 citations). Multi-case studies show undefined front-end phases increase uncertainties. Decision frameworks remain underdeveloped for briefing (Yu et al., 2005, 71 citations).

Essential Papers

Exploring the front-end of project management

Andrew Edkins, Joana Geraldi, Peter W. G. Morris et al. · 2013 · Engineering Project Organization Journal · 143 citations

This paper is a multi-case study exploratory investigation into the earliest stages of projects and their management.We refer to this throughout the paper as the 'front-end'.We provide a definition...

Critical Success Factors for Sustainable Construction Project Management

Murat Gündüz, Mohammed Almuajebh · 2020 · Sustainability · 123 citations

It is necessary to identify critical success factors (CSFs) that affect the construction process. This paper’s aim is to define the CSFs considering views of all construction project stakeholders. ...

Exploring the value management critical success factors for sustainable residential building – A structural equation modelling approach

Ahmed Farouk Kineber, Idris Othman, Ayodeji Emmanuel Oke et al. · 2021 · Journal of Cleaner Production · 113 citations

Professional construction management : including C.M., design-construct, and general contracting

Donald S. Barrie, Boyd C. Paulson · 1992 · McGraw-Hill eBooks · 109 citations

1 Management in the Engineering and Construction Industry 2 Development And Organization Of Projects 3 Applications And Requirements For Management Organizations 4 Introduction To An Example Projec...

Building information modeling acceptance and readiness assessment in Taiwanese architectural firms

Yi‐Kai Juan, Wan-Ying Lai, Shen-Guan Shih · 2016 · Journal of Civil Engineering and Management · 93 citations

Building information modeling (BIM) has received considerable recognition in the architecture, engineering, and construction (AEC) industry because it can potentially reduce costs and delivery time...

Assessment of Cloud Computing Success Factors for Sustainable Construction Industry: The Case of Nigeria

Ayodeji Emmanuel Oke, Ahmed Farouk Kineber, Ibraheem Albukhari et al. · 2021 · Buildings · 79 citations

Cloud Computing has become a valuable platform for sustainability in many countries. This study evaluates the cloud computing implementation and its Critical Success Factors (CSFs) towards ensuring...

Identifying and Assessing Sustainable Value Management Implementation Activities in Developing Countries: The Case of Egypt

Ahmed Farouk Kineber, Idris Othman, Ayodeji Emmanuel Oke et al. · 2020 · Sustainability · 74 citations

Value management (VM) has become a useful tool for achieving sustainability in many countries. This paper aims to assess VM implementation and its activities towards achieving sustainable building ...

Reading Guide

Foundational Papers

Start with Barrie and Paulson (1992, 109 citations) for construction management basics including preconstruction risk planning; Edkins et al. (2013, 143 citations) defines front-end project risks; Yu et al. (2005, 71 citations) establishes VM frameworks for briefing risks.

Recent Advances

Study Kineber et al. (2021, 113 citations) for SEM on sustainable VM CSFs; Oke et al. (2021, 79 citations) on cloud CSFs for risks; Aghimien et al. (2022, 68 citations) on digital barriers.

Core Methods

Core methods: critical success factors categorization (Gündüz and Almuajebh, 2020); earned value analysis for cost control (Bhosekar and Vyas, 2012); structural equation modeling for VM activities (Kineber et al., 2021).

How PapersFlow Helps You Research Risk Management in Value Engineering

Discover & Search

PapersFlow's Research Agent uses searchPapers and citationGraph to map 250M+ papers, starting from Kineber et al. (2021, 113 citations) on value management CSFs, revealing clusters around sustainable construction risks. exaSearch uncovers niche barriers like those in Aghimien et al. (2022), while findSimilarPapers expands to related VM implementations.

Analyze & Verify

Analysis Agent employs readPaperContent on Edkins et al. (2013) to extract front-end risk definitions, then verifyResponse with CoVe checks claims against Gündüz and Almuajebh (2020). runPythonAnalysis simulates probabilistic risk models from Bhosekar and Vyas (2012) using NumPy/pandas, with GRADE grading for evidence strength in CSFs.

Synthesize & Write

Synthesis Agent detects gaps in digital VM barriers (Aghimien et al., 2022) and flags contradictions in implementation studies. Writing Agent uses latexEditText, latexSyncCitations for risk framework papers, latexCompile for reports, and exportMermaid for CSF flowcharts.

Use Cases

"Model construction cost overrun risks using EVM from value engineering papers."

Research Agent → searchPapers('earned value analysis value engineering') → Analysis Agent → runPythonAnalysis (pandas on Bhosekar and Vyas 2012 data) → matplotlib risk plot output.

"Draft LaTeX report on VM barriers in developing countries."

Synthesis Agent → gap detection (Kim et al. 2016 + Kineber et al. 2020) → Writing Agent → latexEditText + latexSyncCitations (10 papers) → latexCompile → PDF with risk mitigation sections.

"Find GitHub repos for BIM risk tools in value management."

Research Agent → paperExtractUrls (Juan et al. 2016 BIM paper) → Code Discovery → paperFindGithubRepo → githubRepoInspect → verified risk simulation code snippets.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ VM papers, chaining citationGraph from Edkins et al. (2013) to generate structured risk CSF report. DeepScan applies 7-step analysis with CoVe checkpoints on Kineber et al. (2021) for barrier verification. Theorizer builds probabilistic risk theory from Gündüz and Almuajebh (2020) CSFs.

Try Doxa for Risk Management in Value Engineering Research

Frequently Asked Questions

What is Risk Management in Value Engineering?

It applies risk identification, assessment, and mitigation within value engineering to optimize construction projects while minimizing uncertainties (Kineber et al., 2021).

What methods are used?

Methods include critical success factors analysis (Gündüz and Almuajebh, 2020), structural equation modeling (Kineber et al., 2021), and earned value management (Bhosekar and Vyas, 2012).

What are key papers?

Top papers: Edkins et al. (2013, 143 citations) on front-end risks; Gündüz and Almuajebh (2020, 123 citations) on CSFs; Kineber et al. (2021, 113 citations) on sustainable VM.

What open problems exist?

Challenges include digital deployment barriers (Aghimien et al., 2022) and VM adoption in developing countries (Kim et al., 2016), lacking integrated probabilistic tools.