İrem Dikmen Toker

E-mail

idikmen@metu.edu.tr

Department

Department of Civil Engineering

ORCID

0000-0002-6988-7557

Scopus Author ID

6507940743

Web of Science Researcher ID

AAC-9737-2019

An activity-based lessons learned model to support scheduling decisions in construction Yılmaz, Anıl; Akcay, Emre Caner; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2025-01-01) Purpose: The aim of this study is to develop an activity-based lessons-learned model that allows construction companies to capture, store, classify and reuse activity-related lessons learned (LL) from previous projects, th...
Developing an ontology-based tool for relating risks to the energy performance gap in buildings Yılmaz, Derya; Tanyer, Ali Murat; Dikmen Toker, İrem (2025-01-01) Purpose: Despite extensive research on the underlying reasons for the energy performance gap in buildings, there is a critical need for stakeholders to standardize and facilitate the use of this knowledge and support its b...
Communication of project risk assessment information through visuals Dikmen Toker, İrem; Karakocak, Elif; Birgönül, Mustafa Talat (2024-12-01) Risk assessment is aimed at providing necessary risk-related information to decision-makers for formulating risk mitigation strategies. Poor communication of its context and outputs may lead to misperceptions and wrong jud...
Perceptions of built environment professionals on intelligent office buildings: The interplay between technology, design for sustainability and responsiveness Gündoğan, Handan; Dikmen Toker, İrem; Atasoy Özcan, Güzide (2024-10-15) The confluence of technological advances, climate mitigation efforts, and evolving user expectations has significantly transformed how the built environment is conceptualized, designed, and delivered; Intelligent Buildings...
Using System Dynamics to Support Strategic Digitalization Decisions Kaya, Hazal Deniz; Dikmen Toker, İrem (2024-04-01) Although digitalization has become a prospect that is counted on for many problems in the construction industry, there have been limited attempts at exploring decision-making processes in construction firms concerning the ...
Disputes Using Machine Learning Techniques Classifying Compensations in Construction Ayhan, Murat; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2023-03-01) It is highly probable to encounter disputes in construction projects and construction disputes are detrimental as they may lead to cost overruns and delays. Knowing the compensation with some certainty can avoid parties fr...
A network-based model for the assessment of success in PPP healthcare projects Ongel, Begum; Tanyer, Ali Murat; Dikmen Toker, İrem (2023-01-01) With the objectives including the reduction of whole life costs, increasing construction and operation efficiencies and enhancing service quality, Public-Private Partnership (PPP) schemes have been increasingly used in hea...
Narratives of Project Risk Management: From Scientific Rationality to the Discursive Nature of Identity Work Green, Stuart D.; Dikmen Toker, İrem (2022-12-01) The dominant narrative of project risk management pays homage to scientific rationality while conceptualizing risk as objective fact. Yet doubts remain regarding the extent to which the advocated quantitative techniques ar...
Exploring pattern of complexity in mega construction projects Bilgin, Gizem; Erol, Hacı Hüseyin; Atasoy Özcan, Güzide; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2022-11-01) Purpose Megaprojects are known as complex projects that involve high levels of uncertainty. This interpretive study explores and portrays perceived complexity in mega construction projects by lived experiences of project m...
A Decision Support System for Project Portfolio Management in Construction Companies Bilgin, Gozde; Dikmen Toker, İrem; Birgönül, Mustafa Talat; ÖZORHON ORAKÇAL, BELİZ (2022-11-01) Project portfolio management requires a systematic process that comprises assessment of portfolio risk and expected profitability, as well as strategic fit of individual projects with company objectives. After a needs anal...

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