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164 Pages·2007·2.5 MB·English
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ORGANIZATIONAL DECLINE AND BANKRUPTCY PREDICTION MODEL FOR THE TURKISH CONSTRUCTION COMPANIES A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY NURDAN EĞİLMEZER ŞAPÇI IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN CIVIL ENGINEERING JULY 2007 Approval of this thesis: ORGANIZATIONAL DECLINE AND BANKRUPTCY PREDICTION MODEL FOR THE TURKISH CONSTRUCTION COMPANIES submitted by NURDAN EĞİLMEZER ŞAPÇI in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering Department, Middle East Technical University by, Prof. Dr. Canan Özgen Dean, Graduate School of Natural and Applied Sciences Prof. Dr. Güney Özcebe Head of Department, Civil Engineering Prof. Dr. Talat Birgönül Supervisor, Civil Engineering Dept., METU Assoc. Prof. Dr. İrem Dikmen Toker Co-Supervisor, Civil Engineering Dept., METU Examining Committee Members: Asst. Prof. Dr. Metin Arıkan Civil Engineering Dept., METU Prof. Dr. Talat Birgönül Civil Engineering Dept., METU Assoc. Prof. Dr. İrem Dikmen Toker Civil Engineering Dept., METU Inst. Dr. Osman Acar Civil Engineering Dept., METU Caner Anaç M.Sc. Civil Engineering, İÇTAŞ INC. Date: 25.07.2007 I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last name : Nurdan EĞİLMEZER ŞAPÇI Signature : ABSTRACT ORGANIZATIONAL DECLINE AND BANKRUPTCY PREDICTION MODEL FOR THE TURKISH CONSTRUCTION COMPANIES EĞİLMEZER ŞAPÇI, Nurdan M.S., Department of Civil Engineering Supervisor : Prof. Dr. Talat Birgönül Co-Supervisor: Assoc. Prof. Dr. İrem Dikmen Toker July 2007, 150 pages Within the scope of this research, factors contributing to the decline and failure in the Turkish construction industry are examined by the aid of a broad literature review and a Delphi Study conducted among respondents selected to be civil engineers who experienced organizational decline and/or bankruptcy throughout their professional lives. Based on the identified factors and their interrelations, Analytical Network Process (ANP) is used to quantify the relative importance of these factors on “Organizational Decline/Bankruptcy of the Turkish Construction Companies”. Organizational Decline/Bankruptcy evaluation and prediction model to be used by the construction company managers as a decision support tool is constructed. As a result of the ANP analysis, importance of management competency and companies’ intangible resources such as organizational knowledge and its technical and technological capabilities came out to be the most important factors effective on the fate of the company to success or bankruptcy whereas external factors such as economic and political changes; which are effective on all kind of industries commonly, occurred to be the least effective factors that directly affect business failure. Key Words: organizational decline, bankruptcy, Turkish construction industry iv ÖZ TÜRK İNŞAAT ŞİRKETLERİ İÇİN ORGANİZASYONEL ÇÖKÜŞ VE İFLAS MODELİ EĞİLMEZER ŞAPÇI, Nurdan Yüksek Lisans, İnşaat Mühendisliği Bölümü Tez Yöneticisi : Prof. Dr. Talat Birgönül Y. Tez Yöneticisi : Doç. Dr. İrem Dikmen Toker Temmuz 2007, 150 sayfa Bu tez kapsamında; Türk İnşaat Şirketleri’nin çöküş mekanizmasında etkili olan faktörler geniş bir literatür taraması yapılmak suretiyle irdelenmiş ve profesyonel yaşamlarında “Organizasyonel Çöküş / İflas” yaşamış inşaat mühendislerinden oluşan katılımcı grubunun tecrübeleri ışığında Delphi Çalışması yapılarak incelenmiştir. Belirlenen faktörlere ve aralarındaki ilişkilere dayanarak, bu faktörlerin “Türk İnşaat Şirketlerinin Organizasyonel Çöküş / İflası” üzerinde teşkil ettikleri önemin birbirlerine göre derecelendirilmesinde Analitik Ağ Prosesi (ANP) kullanılmıştır. Şirket yöneticilerinin profesyonel yaşamlarında, şirketlerinin içerisinde bulunduğu durumu değerlendirmek amacıyla karar destek aracı olarak kullanabilecekleri bir “Organizasyonel Çöküş / İflas” modeli oluşturulmuştur. ANP analizi sonucunda yönetimin becerisi ile organizasyonel bilgi ve teknik/teknolojik yeterlilik gibi kaynakların şirketi başarıya ya da çöküş/iflasa götüren en etkili faktörler oldukları ortaya çıkarken, ekonomik ve politik değişimler gibi tüm sektörler için geçerli olan dış kaynaklı faktörlerin inşaat şirketlerinin iflasında en az doğrudan etkiye sahip olan faktörler olduğu belirlenmiştir. Anahtar Kelimeler: organizasyonel çöküş, iflas, Türk inşaat sektörü v ACKNOWLEDGEMENTS Firstly, I would like to thank gratefully to Assoc. Prof. Dr. İrem Dikmen Toker, who is the most patient person I have ever seen besides being a perfect supervisor; for her unconditional guidance, support and tolerance which appear at every sentence of this thesis and to Prof. Dr. Talat Birgönül for his realistic approaches and invaluable comments especially to shape the scope formation and data collection stages. I wish to express my appreciation to Asst. Prof. Dr. Rıfat Sönmez and Mr. Kerem Tanboğa, Mr. Tezcan Öztürk, Mr. Ergin Oral Demirel for the sound advice and many good ideas that they provided. I am grateful to Asst. Beliz Özorhon for her valuable hours she spent to assist me in understanding ANP Methodology and Superdecisions Software. I gratefully thank to Mr. A. Kadir Ferahlı for his support in encouraging me complete my thesis. I have to designate here my special thanks to my dear mother; Mrs. Sabiha Eğilmezer, for her endless support and love I feel in every breath of mine, to my dearest father Mr. Zafer Ziya Eğilmezer for his patience and sacrifice by which I could become a university graduate and a sound person, to my dearest brothers Mr. Nural and Mehmet Eğilmezer, who are lifelong pieces of my soul. Besides all, I thank by my heart to my beloved husband B. Emrah Şapçı who made me believe that I am that much strong to get over every situation against me, taught me and loved me. vi To My Family vii TABLE OF CONTENTS ABSTRACT...........................................................................................................iv ÖZ............................................................................................................................v ACKNOWLEDGEMENTS....................................................................................vi TABLE OF CONTENTS......................................................................................viii LIST OF TABLES..................................................................................................iv LIST OF FIGURES..................................................................................................v LIST OF ABBREVIATIONS.................................................................................vi CHAPTERS 1 INTRODUCTION.................................................................................................1 2 LITERATURE REVIEW.......................................................................................4 2.1 Definitions of Organizational Decline.............................................................4 2.2 Decline Literature from Construction Industry................................................7 3 CONCEPTUAL OD&B PREDICTION MODEL................................................17 3.1 Introduction...................................................................................................17 3.2 Factors Effective on OD & B........................................................................18 3.2.1 Factors related with “Value Chain” (VC)...............................................18 3.2.1.1 Lack of Efficiency in Corporate Level Value Chain (LECLVC)......19 3.2.1.1.1 Poor environmental scanning (PES)..........................................19 3.2.1.1.2 Poor value-chain analysis at the corporate level (PVCACL)......21 3.2.1.1.3 Poor strategic planning (PSP)....................................................22 3.2.1.1.4 Poor human resources management (PHRM)............................23 3.2.1.1.5 Poor financial management (PFM)............................................24 3.2.1.1.6 Management incompetency (MI)...............................................25 3.2.1.1.7 Poor communication (PC).........................................................29 3.2.1.2 Lack of efficiency in project level value chain (LEPLVC)...............30 3.2.1.2.1 Poor planning/scheduling (PPS)................................................30 viii 3.2.1.2.2 Poor organization of resources (POR).......................................31 3.2.1.2.3 Poor leadership (PL).................................................................33 3.2.1.2.4 Poor monitoring and control (PMC)..........................................34 3.2.1.2.5 Poor project risk management (PPRM).....................................34 3.2.1.2.6 Poor change order and claims management (PCOCM)..............36 3.2.1.2.7 Poor selection and management of suppliers and subcontractors (PSMSS).................................................................................................36 3.2.1.2.8 Poor quality management and control (PQMC).........................37 3.2.2 Factors related with “Resources” (Rs).....................................................39 3.2.2.1 Lack of tangible resources (LTR).....................................................40 3.2.2.1.1 Poor technical / technological capability (PTTC)......................40 3.2.2.1.2 Scarcity of financial resources (SFR)........................................41 3.2.2.2 Lack of intangible resources (LIR)...................................................42 3.2.2.2.1 Poor company image (PCI).......................................................42 3.2.2.2.2 Lack of experience and organizational knowledge (LEOK).......43 3.2.2.2.3 Poor relations with government, politicians and/or clients (PRGPC).................................................................................................45 3.2.3 Factors related to “Decisions” (Ds).........................................................45 3.2.3.1 Wrong market strategies (WMS)......................................................46 3.2.3.1.1 Excessive expansion (EE).........................................................46 3.2.3.1.2 Wrong level of diversification (WLD).......................................47 3.2.3.1.3 Poor investment decisions (PID)...............................................48 3.2.3.2 Wrong organizational decisions (WOD)..........................................49 3.2.3.2.1 Unsuccessful restructuring / reorganization (URRO).................49 3.2.3.2.2 Saving non-value adding activities (SNVAA)...........................50 3.2.3.3 Wrong project strategies (WPS).......................................................51 3.2.3.3.1 Wrong project selection (WPSl)................................................51 3.2.3.3.2 Wrong project cost estimation (WPCE).....................................52 3.2.4 Factors depicted as “Chance Factors” (CF).............................................53 3.2.4.1 Company specific chance factors (CSCF)........................................53 3.2.4.1.1 Sudden death of the company leader (SDCL)............................53 3.2.4.1.2 Difficulty in collecting money from clients (DCMC)................54 3.2.4.1.3 Sudden change within the workforce / braindrain (SCWB)........55 3.2.4.2 General chance factors (GCF)..........................................................56 3.2.4.2.1 Shrinkage in construction demand (SCD)..................................56 iv 3.2.4.2.2 Change in economy (CE)..........................................................56 3.2.4.2.3 Change in politics (CP).............................................................57 4 RESEARCH METHODOLOGY.........................................................................59 4.1 The Research Methodology...........................................................................59 4.2 The Steps of ANP in Multivariate Decision Making......................................62 4.3 ANP Applications in Construction Management...........................................66 4.4 Data Collection.............................................................................................66 4.4.1 Introduction............................................................................................66 4.4.2 The Delphi Method................................................................................70 4.4.3 Steps of Data Collection Form................................................................71 4.4.3.1 Data Collection Form Step 1............................................................71 4.4.3.2 Data Collection Form Step 2............................................................74 4.4.3.3 Data Collection Form Step 3............................................................78 4.5 Data Analysis................................................................................................79 5 RESEARCH FINDINGS.....................................................................................85 5.1 Interpretation of the Results...........................................................................85 5.2 Testing of the Prediction Model....................................................................90 5.3 Comparison of the Results with the Previous Literature.................................92 6 SUMMARY AND CONCLUSION.....................................................................95 REFERENCES.....................................................................................................100 APPENDICES: A (Summary of the OD&B Literature)..................................................................110 B (Questionnaires)................................................................................................112 v

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submitted by NURDAN EĞİLMEZER ŞAPÇI in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering external factors such as economic and political changes; which are effective on fundamentals of ANP, steps of data analysis and interpretation of findings ar
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