Performance evaluation of private universities based on balanced scorecard: empirical study based on Iran

Private universities are new generation of universities in Iran that their existences are less than 20 years. The research in this area was never completed about evaluating of these universities all these years. The aim of this research is to make a framework for evaluating these universities with Balanced Scorecard (BSC) and MCDM methods. Three MCDM methods are applied in this research. DEMATEL is applied for research on cause and effect relations of perspectives of BSC, ANP is applied to calculate weights of indices in perspectives and finally VIKOR for ranking universities that is selected as a case study. This research totally used 38 experts in two groups for evaluating of universities. Results of this research are: (1) Internal Process is the most effective perspective of BSC. (2) Brand, Academic Excellence, Product Quality, Student Satisfaction and Budget Control are five more important indices that calculated with ANP. (3) Shomal University of Amol is the best university among five universities that were selected for this research and they have been established more than ten years

Multicriteria Decision Making in Sustainable Tourism and Low-Carbon Tourism Research: A Systematic Literature Review

Multicriteria Decision Making (MCDM) is increasingly being utilized as an analytical research tool for sectors that require decision-making with specific objectives and constraints, such as the tourism industry. Sustainable tourism, which examines the balance of numerous aspects, including stakeholders’ interests, is the critical feature propelling the increased usage of MCDM. This paper explores the use of Multicriteria Decision Making (MCDM) methods applied in studies of sustainable tourism and its derivative term, low-carbon tourism, using a systematic literature review (SLR) search from the Scopus database. The analysis has identified 189 relevant studies published between 1987 to April 2022. After selection, screening, and synthesizing processes, we selected 135 pertinent studies, which were analysed in general descriptive data, citation impacts, geographical categorization, categorization of the methodologies’ objectives, and possible trajectories of similar research in the future. We find that highly cited authors and articles are related to sustainable tourism indicators\u27 development and case studies. Furthermore, most relevant studies are concentrated in Asia and Europe rather than other regions. We also categorize the reviewed studies into six classifications depending on each method\u27s intended usage and further suggest four contexts for the studies’ future trajectory

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management

Uncertain Multi-Criteria Optimization Problems

Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems

Fuzzy Sets, Fuzzy Logic and Their Applications

The present book contains 20 articles collected from amongst the 53 total submitted manuscripts for the Special Issue “Fuzzy Sets, Fuzzy Loigic and Their Applications” of the MDPI journal Mathematics. The articles, which appear in the book in the series in which they were accepted, published in Volumes 7 (2019) and 8 (2020) of the journal, cover a wide range of topics connected to the theory and applications of fuzzy systems and their extensions and generalizations. This range includes, among others, management of the uncertainty in a fuzzy environment; fuzzy assessment methods of human-machine performance; fuzzy graphs; fuzzy topological and convergence spaces; bipolar fuzzy relations; type-2 fuzzy; and intuitionistic, interval-valued, complex, picture, and Pythagorean fuzzy sets, soft sets and algebras, etc. The applications presented are oriented to finance, fuzzy analytic hierarchy, green supply chain industries, smart health practice, and hotel selection. This wide range of topics makes the book interesting for all those working in the wider area of Fuzzy sets and systems and of fuzzy logic and for those who have the proper mathematical background who wish to become familiar with recent advances in fuzzy mathematics, which has entered to almost all sectors of human life and activity

Rethinking the risk matrix

So far risk has been mostly defined as the expected value of a loss, mathematically PL (being P the probability of an adverse event and L the loss incurred as a consequence of the adverse event). The so called risk matrix follows from such definition. This definition of risk is justified in a long term “managerial” perspective, in which it is conceivable to distribute the effects of an adverse event on a large number of subjects or a large number of recurrences. In other words, this definition is mostly justified on frequentist terms. Moreover, according to this definition, in two extreme situations (high-probability/low-consequence and low-probability/high-consequence), the estimated risk is low. This logic is against the principles of sustainability and continuous improvement, which should impose instead both a continuous search for lower probabilities of adverse events (higher and higher reliability) and a continuous search for lower impact of adverse events (in accordance with the fail-safe principle). In this work a different definition of risk is proposed, which stems from the idea of safeguard: (1Risk)=(1P)(1L). According to this definition, the risk levels can be considered low only when both the probability of the adverse event and the loss are small. Such perspective, in which the calculation of safeguard is privileged to the calculation of risk, would possibly avoid exposing the Society to catastrophic consequences, sometimes due to wrong or oversimplified use of probabilistic models. Therefore, it can be seen as the citizen’s perspective to the definition of risk

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers

İK2018 17th Internationally Participated Business Congress, 26-28 April 2018, Çeşme, İzmir

Çevrimiçi (XLV, 2055 sayfa )26-28 Nisan 2018 tarihlerinde Çeşme’de düzenlenen, 17. Uluslararası Katılımlı işletmecilik Kongresi’nin İzmir Katip Çelebi Üniversitesi, iktisadi ve idari Bilimler Fakültesi, işletme Bölümü ev sahipliğinde gerçekleştirilmesinden dolayı büyük bir mutluluk ve onur duyduk. Türkiye’de işletmecilik alanında uzun süredir başarıyla gerçekleştirilen ‘İşletmecilik Kongresi’ 17. Oturumunda uluslararası bir nitelik kazandırılarak gerçekleştirilmiştir. Bu vesile ile kongrenin 17. Oturumu ‘Uluslararası Katılımlı İşletmecilik Kongresi’ olarak tanımlanmıştır. Kongrenin bu niteliği kazanmasında katkıları olan herkese teşekkür ederiz. Umut ederiz ki bu kıymetli kongrenin ileriki oturumlarının da bu nitelikte gerçekleşmesidir. 17. Uluslararası İşletmecilik Kongresi’ne akademi, iş dünyası, sivil toplum kuruluşları ve bireysel olarak yaklaşık 700 katılımcı ilgi göstermiştir. Kongrede sunulmak üzere 400’den fazla çalışma tarafımıza ulaşmıştır. Bu çalışmalardan kongrede sunumu yapılan 236 tane tebliğ bu kitapta yer almaktadır. Kongrenin düzenlenmesi sırasında her zaman desteklerini hissettiğimiz Danışma Kurulu değerli üyelerine, bildiri tam metin ve özetlerini dikkatle ve özenle değerlendiren Bilim Kurulu üyelerine ve kongre sponsorlarına çok teşekkür ederiz. Prof.Dr. Hayrettin USUL 17. Uluslararası Katılımlı İşletmecilik Kongresi Dönem Başkan