Architecture / Mimarlık
Permanent URI for this collectionhttps://hdl.handle.net/11147/24
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Article Citation - WoS: 2Citation - Scopus: 2Exploring House Price Dynamics: an Agent-Based Simulation With Behavioral Heterogeneity(Springer Verlag, 2019) Özbakan, Tolga A.; Kale, Serdar; Dikmen, İremThe objective of this study is to contribute to the understanding of price formations in housing markets through an agent-based simulation that conceptualizes insights from behavioral economics. For this purpose, the study uses a prominent real estate market model as a benchmark and extends it to account for (1) behavioral heterogeneity and (2) dynamic agent interaction. The validation of the model is carried out by using real data from the Turkish housing market. The results show that the introduction of a fitness-based behavior-switching regime with myopic agents improves the extent to which the observed market behavior can be replicated, in comparison to the benchmark model.Article Citation - WoS: 9A Fuzzy Logic Model for Benchmarking the Knowledge Management Performance of Construction Firms(NRC Research Press, 2011) Kale, Serdar; Karaman, Erkan A.Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management in this capacity poses enormous challenges to executives of construction firms. This paper proposes a model for benchmarking the knowledge management performance of construction firms that can guide and assist construction business executives in meeting these challenges. The proposed model incorporates benchmarking and knowledge management concepts with fuzzy set theory to adequately handle imprecision, vagueness, and uncertainty that prevail in this process. It uses the fuzzy-weighted average (FWA) algorithm to evaluate the knowledge management performance of construction firms. It is an internal reporting model that can provide powerful diagnostic information to executives of construction firms by evaluating their firm's knowledge management performance, identifying their firm's strengths and weaknesses with regard to each knowledge management practice, and setting priorities for managerial actions related to knowledge management practices that need improvement. A real-world case study is presented to illustrate the implementation and utility of the proposed model.Article Citation - WoS: 28Citation - Scopus: 31Benchmarking the Knowledge Management Practices of Construction Firms(Vilnius Gediminas Technical University, 2012) Kale, Serdar; Karaman, Erkan A.Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management in this capacity poses enormous challenges to executives of construction firms. This paper proposes a model for benchmarking those knowledge management practices of AEC firms that can guide and assist construction business executives in meeting these challenges. The proposed model incorporates benchmarking and knowledge management concepts with importance-performance analysis (IPA) maps. It is a simple visual tool that can provide powerful diagnostic information to executives of AEC firms by evaluating their firm's knowledge management practices, identifying their firm's comparative advantages and disadvantages with regard to each knowledge management practice, and setting priorities for managerial actions related to knowledge management practices that need improvement. A real-world case study is presented to illustrate the implementation and utility of the proposed model.Article Citation - WoS: 13Citation - Scopus: 25A Diagnostic Model for Assessing the Knowledge Management Practices of Construction Firms(Korean Society of Civil Engineers, 2012) Kale, Serdar; Karaman, Erkan A.Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management as a key organizational capability for creating competitive advantage poses enormous challenges to executives of construction firms. This paper proposes a model for benchmarking the knowledge management practices of construction firms that can guide and assist construction business executives to meet these challenges. The proposed model incorporates benchmarking and knowledge management concepts with Importance-Performance Analysis (IPA) and Comparative Performance Analysis (CPA) maps. The IPA and CPA maps are visual management tools that have been commonly used for continuous improvements in processes and the performance of firms. Yet they have not been used in the construction management literature or for evaluating the knowledge management practices. The proposed model can be used by construction firms as an internal performance measurement tool to evaluate their knowledge management practices. It can provide powerful diagnostic information to construction business executives of construction firms in order to evaluate their firm's knowledge management practices, identify their firm's comparative advantages and disadvantages with regard to each knowledge management practice, and set priorities for managerial actions related to knowledge management practices that need improvement. A real-world case study was conducted by administering a survey to 105 construction firms operating in Turkey and is presented to illustrate the implementation and utility of the proposed model.Article Citation - WoS: 29Citation - Scopus: 31Evaluating the Knowledge Management Practices of Construction Firms by Using Importance-Comparative Performance Analysis Maps(American Society of Civil Engineers (ASCE), 2011) Kale, Serdar; Karaman, Erkan A.The emergence of the effective management of knowledge resources as a key factor in gaining and sustaining competitive advantage presents new challenges to construction firms. Evaluating knowledge management practices is considered one of the most important challenges facing firms in today's business environment. This paper proposes a model for evaluating the knowledge management practices of construction firms. The proposed model incorporates knowledge management concepts and multilayer perceptron (MLP) neural networks to construct an importance-comparative performance analysis (ICPA) map, a simple visual tool that can provide powerful diagnostic information to executives of construction firms. The model evaluates a firm's knowledge management practices, identifies its competitive advantages and disadvantages in each knowledge management practice, and sets priorities for managerial actions to improve knowledge management practices. A real-world case study was conducted by administering a survey to 105 construction firms operating in Turkey and is presented to illustrate the implementation and utility of the proposed model. The case study findings provided preliminary support for the validity of the proposed model.