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Article Citation - Scopus: 1An Activity-Based Lessons Learned Model To Support Scheduling Decisions in Construction(Emerald Group Publishing Ltd, 2025) Yilmaz, Anil; Akcay, Emre Caner; Dikmen, Irem; Birgonul, M. TalatPurposeThe 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, thereby increasing the reliability of time estimates in scheduling.Design/methodology/approachScheduling is a knowledge-intensive process that requires the utilization of data and expert opinion elicitation from various levels of an organization in construction projects. This research consists of five successive steps: performing a needs analysis, proposing an activity-based lessons-learned process model, validating the proposed process model, developing a tool to apply the proposed model in a computer environment and testing the applicability of the tool. To implement the proposed model in practice, a web-based tool, namely the Construction Industry Scheduling with Activity-Based Lessons Learned Tool (ConSALL Tool), was developed. Its functionality was evaluated using black-box testing. The tool was then applied in a real construction project.FindingsResults show that ConSALL has the potential to improve scheduling decisions in construction projects by incorporating data and experience from previous projects. Findings from this research can be used to develop similar models and AI tools to foster activity-based learning in other project-based industries as well as the construction industry.Originality/valueThis paper presents an innovative approach to enhancing construction project scheduling by leveraging LL from past projects. The development and application of the ConSALL Tool demonstrate a practical implementation of the proposed model, providing a framework that can be adapted to other industries to improve project planning and execution.Article Citation - WoS: 13Citation - Scopus: 16An Analytic Network Process Based Risk Assessment Model for Ppp Hydropower Investments(Vilnius Gediminas Tech Univ, 2021) Akcay, Emre CanerThe number of public-private partnership (PPP) projects has gone up especially in developing countries. The risk assessment of PPP projects is essential in ensuring project success. The objective of this study is to develop an Analytic Network Process (ANP) based risk assessment model for hydropower investments, and a tool to facilitate quantification of risk ratings based on this model. The results show that the three most important risk factors that affect the overall risk rating of a PPP hydropower investment are legal risks, contractor/subcontractor risks, and operator risks. In addition, the three most important risk clusters were identified as stakeholders, government requirements, and resources, whereas market was the least important cluster. The tool that measures the risk rating of a PPP of hydropower project was tested on ten real cases, and satisfactory results were obtained in terms of its predictive capability. The contributions of this research include (1) identification of the risk factors and clusters of factors associated with PPP hydropower investments; (2) determination of the priority of each risk factor and cluster; (3) development a tool that guides the investors through the risk assessment of PPP hydropower investments.Article Design Team Effectiveness and Architects' Personality Types(Emerald Group Publishing Ltd, 2025) Alan, Ece; Arditi, David; Gunaydin, Husnu Murat; Akcay, Emre CanerPurposeThe personalities of the design team members constitute one of the factors that influence team effectiveness. In this study, 223 members of the "American Institute of Architects" who are employed by the largest architectural design firms in the United States of America were categorized according to their personality types by using "The Enneagram Personality Type Model." Also, the respondents' opinions about eight team effectiveness outcomes were recorded in order to explore the relationship between team members' personality types and team effectiveness outcomes.Design/methodology/approachThe information was collected by a questionnaire where the first part included 144 pairs of statements that were used to identify respondents' personality types. The second part sought designers' opinions about the importance of eight team effectiveness outcomes rated on a Likert scale ranging from 1 to 5. The results were assessed by performing the Kruskal-Wallis test first and Dunn's post-hoc test with Bonferroni adjustment subsequently.FindingsThe findings highlight the significance of personality types in effective design teams. While Type 6 (loyalist and skeptic) and Type 3 (achiever and performer) architects prioritize team effectiveness the most, Type 7 architects (enthusiasts and epicureans) assign the lowest importance. However, the presence of Type 1 (reformist and perfectionist) and Type 8 (challenger and protector) architects within the same design team may involve challenges or conflicts.Originality/valueThe primary contribution of this study is that it is the first study in the construction management literature that utilizes The Enneagram of Personality Test to understand the relationship between team members' personality types and team effectiveness outcomes. This study is of direct relevance to practitioners and could be utilized in design team-building activities.Article Citation - WoS: 9Citation - Scopus: 10Real Options Valuation of Photovoltaic Investments: a Case From Turkey(Pergamon-elsevier Science Ltd, 2024) Or, Bartu; Bilgin, Gozde; Akcay, Emre Caner; Dikmen, Irem; Birgonul, M. TalatInvestments in renewable energy resources have become inevitable due to increasing energy demand and energy prices, diminishing non-renewable energy resources, and the outgrowth of carbon footprints. Photovoltaic (PV) systems offer high solar energy potential in sustainable energy production whereas their high initial costs necessitate critical strategic valuation of investments. Valuation with conventional methods has been challenging due to existence of uncertainties such as fluctuating PV panel prices, changing meteorological conditions with certain effects on power generation, and governmental policies on energy market regulations. This study aims to propose a real options approach to valuation of residential rooftop PV system investments considering these uncertainties and demonstrate benefits of this approach with an application on the residential PV investment decisions in Turkey. The proposed method, Real Options Valuation (ROV) with Least-Squares Monte Carlo Simulation (LSMC) considers the deferral option of the investor by utilizing stochastic simulations, the discounted cash flow method, linear regression, and backward dynamic programming and thus evaluates the effects of uncertainties on financial attractiveness of residential PV investments. The case study findings proved that ROV with LSMC having a 7-years deferral option supported the investment decision with realizable cost-effective options while "NPV method" resulted in an infeasible investment. Scenario analysis was also conducted to explore policy options that can be used to promote solar energy investments in Turkey. This study has a potential to have practical contributions for investors as well as implications for policy-makers.
