Customer Oriented Product Design with Conjoint Analysis

  • Selçuk AlpEmail author
  • Ersoy Öz
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 279)


Conjoint analysis is a technique used to measure consumer preferences related to the production of a product or service. This analysis can be used to decide if it is possible for the so-called product to retain in the market and compete with other products. In the study, the factors to be used in conjoint analysis were determined as RAM, Graphic Card, Processor Model, Storage Type, Screen Size and Operating System. This chapter has revealed the attributes that academic staff working on data analysis at Yildiz Technical University attaches the highest importance to when choosing a laptop. Sincsatisfaction with product dee all of the cards identified within the context of research would be complicated, 18 cards were prepared using orthogonal design. Apart from the 18 cards prepared, 3 simulation cards were also created. Results of the analysis reveal that the computer processor ranks first and other attributes are ranked as memory capacity (RAM), operating system, storage type, graphics card, and screen size respectively.


  1. 1.
    Rencher, A.C.: Methods of Multivariate Analysis. Wiley, New York (2002)zbMATHCrossRefGoogle Scholar
  2. 2.
    Kobu, B.: Üretim Yönetimi, Geliştirilmiş ve Değiştirilmiş 9. Avcıol Basım Yayım, Baskı, İstanbul (1999)Google Scholar
  3. 3.
    Matsuo, M.: Customer orientation, conflict, and innovativeness in Japanese sales departments. J. Bus. Res. 59(2), 242–250 (2006)CrossRefGoogle Scholar
  4. 4.
    Hair, J.J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. Pearson, New Jersey (2006)Google Scholar
  5. 5.
    Moody, K.A., LAL, R.R., PANDEY, V.: Analysis of customer oriented product development with quality function deployment. Int. J. Mech. Eng. Technol. 8(5), 270–279 (2017)Google Scholar
  6. 6.
    Lin, M.C., Wang, C.C., Chen, T.Z.: A strategy for managing customer-oriented product design. Concur. Eng. Res. Appl. 14(3), 231–244 (2006)CrossRefGoogle Scholar
  7. 7.
    Üçler, Ç., Vayvay, Ö., Çobanoğlu, E.: Customer-focused product development and a case study in turkish refrigerator market. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 5(10), 81–97 (2006)Google Scholar
  8. 8.
    AKBABA, A.: The quality function deployment (QFD) approach in customer focused service production: an application study for hospitality industry, Anatolia: Turiz. Araştırmaları Derg. 16(1), 59–81 (2005)Google Scholar
  9. 9.
    Chen, C.C., CHUANG, M.C.: integrating the kano model into a robust design approach to enhance customer satisfaction with product design. Int. J. Prod. Econ. 114(2), 667–681 (2008)CrossRefGoogle Scholar
  10. 10.
    Lin, M.C., Wang, C.C., Chen, T.Z., Chang, A.A.: Using AHP and TOPSIS apprioaches in customer-driven product design process. Comput. Ind. 59, 17–31 (2008)CrossRefGoogle Scholar
  11. 11.
    Fuller, J., Bartl, M., Ernst, H.,Mühlbacher, H.: Community based innovation: How to integrate members of virtual communities into new product development. Electronic. Commer. Res. 6(1), 57–73 (2006)CrossRefGoogle Scholar
  12. 12.
    Kaulio, M.A.: Customer, consumer and user involvement in product development: a framework and a review of selected methods. Total Qual. Manag. 9(1), 141–149 (1998)CrossRefGoogle Scholar
  13. 13.
    Tunc, T., Corba, B. Ş.: Determining the optimal combinations of the factors affecting the choice of health facility. Int. J. Arts Commer. 6(5), 37–50 (2017)Google Scholar
  14. 14.
    Arslan, H.: Konjoint Analizi ile En Uygun Yatırım Aracının Belirlenmesi. İstanbul ticaret Üniversitesi Sosyal Bilimler Dergisi 29(2), 305–317 (2016)Google Scholar
  15. 15.
    Karaarslan, M.H., Altuntaş, B.: Kariyer Tercihini Etkileyen Faktör Düzeylerinin Öneminin Konjoint Analizi ile Belirlenmesi. İnsan ve Toplum Bilimleri Araştırmaları Dergisi 5(7), 1972–1988 (2016)CrossRefGoogle Scholar
  16. 16.
    Cacace, M., Franz, I., Ratz, D.: Using conjoint analysis to elicit preferences for occupational health services in small and microenterprises. Athens J. Health 1(4), 237–254 (2014)CrossRefGoogle Scholar
  17. 17.
    Yavuz, S., Çemrek, F.: The determination of residential preferences of healthcare workers through conjoint analysis. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 17(2), 379–396 (2013)Google Scholar
  18. 18.
    Zardari, N.H., Cordery, I.: Determining irrigators preferences for water allocation criteria using conjoint analysis. J. Water Resour. Prot. 4, 249–255 (2012)CrossRefGoogle Scholar
  19. 19.
    Bridges, J.F.P., Dong, L., Gallego, G., Blauvelt, B.M., Joy, S.M., Pawlik, T.M.: Prioritizing strategies for comprehensive liver cancer control in Asia: a conjoint analysis. BMC Health Serv. Res. 12(376), 1–12 (2012)Google Scholar
  20. 20.
    Lee, S.J., Newman, P.A., Comulada, W.S., Cunningham, W.E., Duan, N.: Use of conjoint analysis to assess HIV vaccine acceptability: feasibility of an innovation in the assessment of consumer health-care preferences. Int. J. STD AIDS 23, 235–241 (2012)CrossRefGoogle Scholar
  21. 21.
    Fisher, K., Orkin, F., Frazer, C.: Utilizing conjoint analysis to explicate health care decision making by emergency department nurses: a feasibility study. Appl. Nurs. Res. 23(1), 30–35 (2010)CrossRefGoogle Scholar
  22. 22.
    Miletic, M., Miseti̇c, A.: University campus borongaj in zagreb; application of conjoint analysis. Prost.: Sch. J. Arch. Urban Plan. 18–2(40), 412–423 (2010)Google Scholar
  23. 23.
    Şen, H., Çemrek, F.: Konjoint Analizi ile Özel Dersane Tercihine Yönelik Bir Uygulama. Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 5(2) (2004)Google Scholar
  24. 24.
    Gürbüz, H., Kaygisiz, Z.: Conjoint analysis and a practice in arrival sector. Süleyman Demirel Ünivesitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 9(1), 139–148 (2004)Google Scholar
  25. 25.
    Ness, M.R., Gerhardy, H.: Consumer preferences for quality and freshness attributes of eggs. Br. Food J. 96(3), 26–34 (1994)CrossRefGoogle Scholar
  26. 26.
    Katoshevski, R., Timmermans, H.: Using conjoint analysis to formulate user-centred guidelines for urban design: the example of new residential development in Israel. J. Urban Des. 6(1), 37–53 (2001)CrossRefGoogle Scholar
  27. 27.
    Luce, R.D., Tukey, J.W.: Simultaneous conjoint measurement: a new type of fundamental measurement. J. Math. Psychol. 1(1), 1–27 (1964)zbMATHCrossRefGoogle Scholar
  28. 28.
    Green, P., Rao, V.: Conjoint measurement for quantifying judgmental data. J. Mark. Res. 8(3), 355–363 (1971). Scholar
  29. 29.
    Sönmez, H.: The usage of conjoint analysis in marketing research and an application. PhD thesis. Anadolu University Graduate School of Natural and Applied Science Statistics Program (2001)Google Scholar
  30. 30.
    Sönmez, H.: Müşteri tercihleri için konjoint analizi uygulaması: ev bilgisayarı nasıl seçilir. Anadolu Üniversitesi Sosyal Bilimler Dergisi 2006(2), 185–196 (2006)Google Scholar
  31. 31.
    Aydin, N., Yalçin, E.: Choice based conjoint analysis and an application. Dumlupinar Univ. J. Soc. Sci. 50, 26–48 (2016)Google Scholar
  32. 32.
    Erdoğan, C.: Tüketicinin Otomobil Tercihinin Konjoint Analizi İle Belirlenmesi. Yüksek Lisans Tezi. Gazi Üniversitesi Fen Bilimleri Enstitüsü, Ankara (2006)Google Scholar
  33. 33.
    Green, P.E., Srinivasan, V.: Conjoint analysis in consumer research :issues and outlook. J. Consum. Res. 5, 103–123 (1978)CrossRefGoogle Scholar
  34. 34.
    Green, P.E., Srinivasan, V.: Conjoint analysis in marketing: new developments with implications for research and practice. J. Mark. 54, 3–19 (1990)CrossRefGoogle Scholar
  35. 35.
    Rao, R.V.: Applied Conjoint Analysis. Springer, New York (2014)CrossRefGoogle Scholar
  36. 36.
    ORME, B.: Formulating attributes and levels in conjoint analysis. Sawtooth Software Inc (2002)Google Scholar
  37. 37.
    BAŞARAN, Z.K.: Çok Değişkenli İstatistiksel Analiz Tekniklerinden Bulanık Konjoint Analizi ve Çay İşletmelerine Uygulanması. Yüksek Lisans Tezi. İstanbul: Marmara Üniversitesi Sosyal Bilimler Enstitüsü (2010)Google Scholar
  38. 38.
    Yalniz, A., ve Bilen, L.: Kasko Sigortalarında Konjoint Analizi ile Tüketici Tercihi. Hazine Dergisi 8, 53–70 (1997)Google Scholar
  39. 39.
    Tatlidi̇l, H.: Konjoint Analizi. Ders Notları, Hacettepe Üniversitesi, İstatistik Bölümü, Ankara (1995)Google Scholar
  40. 40.
    Cengi̇z, M., Gi̇rgi̇ner, N.: Determining consumers’ preferences with using conjoint analysis: case of refrigerator. Eskişehir Osman. Univ. J. Econ. Adm. Sci. 7(1), 269–290 (2012)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Industrial EngineeringYildiz Technical UniversityIstanbulTurkey
  2. 2.Department of StatisticsYildiz Technical UniversityIstanbulTurkey

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