THE DETERMINATION OF TECHNOLOGICAL INNOVATION LEVEL OF LOGISTICS COMPANIES IN ISTANBUL STOCK EXCHANGE (ISE) MARKET

Year 2016, Volume: 34 Issue: 4, 49 - 70, 31.12.2016

İskender Peker , İlker Murat Ar Emine Yılmaz

https://doi.org/10.17065/huniibf.310519

Abstract

Technological and scientific
developments have closely affected business to use innovation as an
important tool to compete in a global sense. The purpose of this study is to
determine the importance of the level of technological innovation criteria and
to rank logistics companies traded in İstanbul Stock Exchange (BIST) by the
level of their technological innovation. For this purpose, Fuzzy AHP method is
used to weight the criteria and Fuzzy VIKOR is used to rank the logistics
companies. As a result of this study, “radical innovation” is identified as the
most important main criteria and “automated material transport systems” is
identified as the most important sub-criteria in determining the level of
technological innovation. The G logistics company is identified as the highest
level of technological innovation.

 

Keywords

Logistics, Innovation, Technological Innovation, Fuzzy AHP, Fuzzy VIKOR

BORSA İSTANBUL’DA (BIST) İŞLEM GÖREN LOJİSTİK FİRMALARININ TEKNOLOJİK YENİLİK DÜZEYLERİNİN BELİRLENMESİ

Abstract

Teknolojik
ve bilimsel alanda yaşanan gelişmeler, işletmelerin küresel anlamda rekabet
edebilmeleri, büyümeleri ve üstünlük sağlamaları için yeniliği önemli bir araç
haline getirmiştir. Bu çalışmanın amacı, teknolojik yenilik kriterlerinin önem
düzeyinin belirlenerek Borsa İstanbul’da (BIST) işlem gören lojistik
firmalarını teknolojik yenilik seviyelerine göre sıralamaktır. Bu amaçla
kriterlerin ağırlıklandırılmasında Bulanık AHP, firmaların sıralanmasında ise
Bulanık VIKOR yöntemleri kullanılmıştır. Çalışma sonucunda, teknolojik yenilik
seviyesinin belirlenmesinde “radikal yenilik” en önemli ana kriter ve “otomatik
malzeme taşıma sistemleri” de en önemli alt kriter olarak tespit edilmiştir. G
lojistik firması ise teknolojik yenilik düzeyi en yüksek firma olarak
belirlenmiştir. 

Keywords

Lojistik, yenilik, teknolojik yenilik, bulanık AHP, bulanık VIKOR

References

• Ar, İ. M., Baki, B., Özdemir, F. (2014), “Kuruluş Yeri Seçiminde Bulanık AHS-VIKOR Yaklaşımının Kullanımı: Otel Sektöründe Bir Uygulama”, Uluslararası İktisadi ve İdari İncelemeler Dergisi, 7(13), 93-114.
• Akyıldız, M., O. Tuna (2007), “Lojistik Değer ve Ek Değer: Bir Odak Grup Çalışması”, Ege Akademik Bakış, 7(2), 645-659.
• Buckley, J.J. (1985), “Ranking Alternatives Using Fuzzy Numbers”, Fuzzy Sets and Systems, 15, 233-247.
• Burmaoğlu, S. (2012), Ulusal İnovasyon Göstergeleri ile Ulusal Lojistik Performans Arasındaki İlişki: AB Ülkeleri Üzerine Bir Araştırma, Ege Akademik Bakış, 12(2), 193- 208.
• Busse, C., W.C. Marcus (2011), “Innovation Management of Logistics Service Providers: Foundations, Review, and Research Agenda”, International Journal of Physical Distribution & Logistics Management, 41(2), 187-218.
• Chang, D., (1996), “Applications of the Extend Analysis Method on Fuzzy AHP”, European Journal of Operational Research, 95, 649-655.
• Chapman, R.L., C. Soosay, J. Kandampully (2003), “Innovation in Logistic Services and the New Business Model: A Conceptual Framework”, International Journal of Physical Distribution & Logistics Management, 33(7), 630-650.
• Chen, C.T. (2000), “Extensions of the TOPSIS for Group Decision Making Under Fuzzy Environment”, Fuzzy Sets and Systems, 114, 1-9.
• Chen, F.T.S., N. Kumar (2007), “Global Supplier Development Considering Risk Factors Using Fuzzy Extended AHP - Based Approach”, Omega International Journal of Management Science, 35(4), 417-431.
• Chen, L.Y., T. Wang (2009), “Optimizing Partners’ Choice in IS/IT Outsourcing Projects: The Strategic Decision of Fuzzy VIKOR”, International Journal of Production Economics, 120, 233-242.
• Chu M., J. Shyu, G., Tzeng (2006), “Comparison Among Three Analytical Methods For Knowledge Communities Group-Decision Analysis”, Expert Systems With Applications, 33(4), 1011-1024.
• De Martino, M., L. Errichiello, A. Marasco, A. Morvillo (2013),”Logistics Innovation in Seaports: An Inter-Organizational Perspective”, Research in Transportation Business&Management, 8, 123-133.
• Evangelista, P. (2012), “Disruptive Innovation Trends in Transport and Logistics”, INNO-GripsWorkshop on Disruptive Innovation, 24th January, Brussels.
• Flint, D.J., E. Larsson, B. Gammelgaard, J.T. Mentzer (2005), “Logistics Innovation: A Customer Value-Oriented Social Process”, Journal of Business Logistics, 26(1), 113-147.
• Germain, R. (1996), “The Role of Context and Structure in Radical and Incremental Logistics Innovation Adoption”, Journal of Business Research, 35, 117-127.
• Glenn Richey, R., S.E. Genchev, P.J. Daugherty (2005), “The Role of Resource Commitment and Innovation in Reverse Logistics Performance”, International Journal of Physical Distribution & Logistics Management, 35(4), 233-257.
• Görener, A. (2013), “Tedarik Zinciri Stratejisi Seçimi: Bulanık Vikor Yöntemiyle İmalat Sektöründe Bir Uygulama”, International Journal of Alanya Faculty of Business, 5(3), 47-62.
• Grawe, S.J. (2009), “Logistics Innovation: A Literature-Based Conceptual Framework”, The International Journal of Logistics Management, 20(3), 360-377.
• Hou, Z. (2014), A Comprehensive Evaluation of Athletes’ Professional Skills Based on Fuzzy Theory”, Journal of Chemical and Pharmaceutical Research, 6(7), 784-788.
• Javanbarg, M.B., C. Scawthorn, J. Kiyono, B. Shahbodaghkhan (2012), “Fuzzy AHP-Based Multicriteria Decision Making Systems Using Particle Swarm Optimization”, Expert Systems with Applications, 39, 960–966.
• Kandampully, J. (2002), “Innovation as the Core Competency of a Service organisation: The Role of Technology, Knowledge and Networks”, European Journal of Innovation Management, 5(1), 18-26
• Kaptanoğlu D., A.F. Özok (2006), “Akademik Performans Değerlendirmesi İçin Bulanık Model”, İTÜ Mühendislik Dergisi, 5(1), 193-204.
• Karadoğan, D. (2011), Lojistik İnovasyon (Yenileşim)-1, http://www.lojistikci.com/?p=4070, (20.02.2012).
• Kuo M.S., G.S. Liang, W.C. Huang (2006), “Extension of The Multicriteria Analysis With Pairwise Comparison Under A Fuzzy Environment”, International Journal of Approximate Resoning, 43(3), 268-285.
• Kwong, C.K., H. Bai (2002), “A Fuzzy AHP Approach to the Determination of Importance Weights of Customer Requirements in Quality Function Deployment”, Journal of Intelligent Manufacturing, 13, 367-377.
• Laarhoven, P., W. Pedrytcz (1983), “A Fuzzy Extension of Sati’s Priority Theory”, Fuzzy Sets and Systems, 11(1-3), 229-241.
• Lin, C.Y. (2007), “Factors Affecting Innovation in Logistics Technologies for Logistics Service Providers in China”, Journal of Technology Management in China, 2(1), 22-37.
• Lin, C-Y. (2008), “Determinants of the Adoption of Technological Innovations by Logistics Service Providers in China”, International Journal of Technology Management & Sustainable Development, 7(1), 19-38.
• Lin, C.Y., Y.H. Ho (2008), “An Empirical Study on Logistics Service Providers’ Intention to Adopt Green Innovations”, Journal of Technology Management & Innovation, 3(1), 17-26.
• Mahmoodzadeh, S., J. Shahrabi, M. Pariazar, M.S. Zaeri (2007), “Project Selection by Using Fuzzy AHP and TOPSIS Technique”, International Journal of Social, Education, Economics and Management Engineering, 1(6), 301-306.
• Opricovic, S. (1998) Multi Criteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, Belgrade.
• Opricovic, S., G.H. Tzeng (2004), “Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS”, European Journal of Operational Research, 156, 445-455.
• Özkök, A.F., Kozanoğlu, O. (2009), “Takım Lideri Seçiminde Bulanık Kalite Fonksiyonu Açınımı Modeli Uygulaması”, Journal of Yasar University, 4(15), 2403-2418.
• Panayides, P.M. (2006), “Enhancing Innovation Capability Through Relationship Management and Implications for Performance”, European Journal of Innovation Management, 9(4),466-483.
• Patier, D., ve Browne, M. (2010), “A Methodology for the Evaluation of Urban Logistics Innıvations”, Procedia Social and Behavioral Scineces, 2, 6229-6241.
• Roumboutsos, A., S. Kapros, T. Vanelslander (2014), “Green City Logistcs: Systems of Innovation to Assess the Potential of E-Vehicles”, Research in Transportaion Business&Management, 11, 43-52.
• Sakchutchawan, S., P.C. Hong, S.K. Callaway, A. Kunnathur (2011), “Innovation and Competitive Advantage: Model and Implementation for Global Logistics”, International Business Research, 4(3), 10-21.
• Samvedi A., Jain V., Chan T.S., (2013), “Quantifying Risks in a Supply Chain Through Integration of Fuzzy AHP and Fuzzy TOPSIS”, International Journal of Production Research, 51(8), 2483-2442.
• Şafak, İ.T., (2012), “Lojistik ve İnovasyon”, Fortune Dergisi, Nisan.
• Şengül, Ü., M. Eren, S.E. Shıraz (2012), “Bulanık AHP ile Belediyelerin Toplu Taşıma Araç Seçimi”, Erciyes Üniversitesi, İİBF Dergisi, 40, 143-165.
• Taniguchi, E., R.G. Thompson, T. Yamada (2014), “Recent Trends and Innovations in Modelling City Logistics”, Procedia-Social Behavioral Sciences, 125, 4-14.
• Wagner, S.M. (2008), “Innovation Management in the German Transportation Industry”, Journal of Business Logistics, 29(2), 215-231.
• Wagner, S.M., R. Sutter (2012), “A Qualitative Investigation of Innovation Between Third- Party Logistics Providers and Customers”, International Journal of Production Economics, 140, 944-958.
• Wallenburg, C.M. (2009), “Innovation in Logistics Outsourcing Relationships: Proactive Improvement by Logistics Service Providers as a Driver of Customer Loyalty”, Journal of Supply Chain Management, 45(2), 75-93.
• Wang, Y., Y. Lou, Z. Huo (2008), “On the Extend Analysis Method for Fuzzy AHP and its Applications”, European Journal of Operational Research, 186, 735-747.
• Zadeh, L.A. (1965), “Fuzzy Sets”, Information and Control, 8, 338-353.