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Abstract In the Turkish green building industry, firms need to do an industrial analysis as this market has an emerging nature and potentially unstable business environment. By performing such a strategic analysis, they may determine their own holistic sustainability approaches and thereby become long-lasting enterprises. Therefore, this paper presents a fuzzy model of the macro-environmental assessment (FMMA) in the green building industry in Turkey through PESTLE (political, economic, social, technical, legal, and environmental) framework. To achieve this objective, fuzzy synthetic evaluation was used in quantifying macro-environmental conditions (MECs). The required data for this analysis were obtained from professionals working in the national industry. To illustrate how FMMA works, the current case of the industry was presented. As a result, FMMA offers a comprehensive and practical tool. Given empirical findings, the effect of MECs on the industry was found to be medium-to-high. Also, technological factors were identified as the most effective group, followed by environmental, economic, legal, political, and social factors, respectively. Subsequent researches may examine other regions and industries by modifying the existing criteria and weights. Similarly, the green building industry may be investigated from the viewpoint of other parties in the market. Consequently, this study is first to offer a structured PESTLE quantification model and to evaluate MECs in this emerging industry. Highlights • This research presents a structured novel model for macro-environmental assessment. • To quantify the assessment, PESTLE and fuzzy synthetic evaluation were integrated. • As a case, macro-environmental conditions of green building industry were examined. • The effect of these conditions on the industry was calculated as medium-to-high. • Technological and environmental factors were found to be the most effective groups. [ABSTRACT FROM AUTHOR]

Abstract: For manufacturing industries, financial performance evaluation is very important in a highly competitive environment. Therefore, an accurate and appropriate performance evaluation is critical. As financial performance indicators reflect the competitiveness of a company, they must be carefully identified in the evaluation process. Generally, traditional accounting-based financial performance (AFP) measures are used for performance evaluation. However, these measures are not sufficient for performance evaluation solely in the modern industry time. So, value-based financial performance (VFP) measures have recently been introduced to express the company value. In this paper, we propose a new financial performance evaluation approach to rank the companies of each sector in the Turkish manufacturing industry. For this purpose, a hierarchical financial performance evaluation model is structured based on the AFP and VFP main-criteria and their sub-criteria. We use fuzzy analytic hierarchy process (FAHP) to determine the weights of the criteria. The companies are ranked according to their own manufacturing sector by using TOPSIS and VIKOR comparatively. The results show that the obtained ranks of the companies by these methods are almost same with respect to their own sectors. [Copyright &y& Elsevier]

Abstract: This paper proposes the Fuzzy Logic Model for Location Decisions of Taxicab Stands (FMOTS), which is a decision support system for decision makers, who wish to alleviate taxicab stand complexity in the short to medium term. In this study, an integrated model of GIS and fuzzy logic for taxicab stand location decision is built. The location decisions of taxicab stands in Ankara (Turkey), where organizational problems of taxicab stands slow down a better quality of service, have been examined by this integrated model and their appropriateness has also been evaluated according to the selected parameters. [Copyright &y& Elsevier]

Abstract: Outsourcing refers to a company that contracts with another company to provide services that might otherwise be performed by in-house employees. Information system (IS) outsourcing policies define the criteria that organizations utilize to decide upon the scope and degree of reliance of their IS capabilities upon external sources. IS outsourcing is an innovative organizational tool for IS management in both private and public sector organizations. In this paper, an interactive group decision-making methodology is proposed to select/rank IS providers under multiple criteria. A measure for the consensus level of the group preferences is developed to satisfy an acceptable level of group agreement and reliability. The Spearman coefficients for both the aggregated rank order and each DM''s rank order have also been calculated. The group and the individual evaluations are gathered through a fuzzy TOPSIS approach. The proposed methodology is applied in the largest office furniture manufacturer in Konya-Turkey. Eight alternative IS providers are evaluated based on seven criteria by five decision makers. Sensitivity analyses are also provided to see the effects of parameter changes on the final decision. [Copyright &y& Elsevier]

Abstract: More recently Turkey has witnessed fast housing development and real estate sector growth because of the mortgage preparations. With this development, property location quality has been considered important for selecting and paying them. It is aimed to examine the applications of grading property at the neighborhood level based on property location quality by testing traditional method and fuzzy logic method. This study uses a data set of new single-family housing units in Kocaeli University Campus Area. By using four location quality criteria, 27 single-family housing units are graded at the neighborhood level. This paper provides understanding fuzzy logic grading approach at the neighborhood level based on property location quality that is more accurate and realistic than traditional grading approach. [Copyright &y& Elsevier]