TY - JOUR T1 - Investigating Some Classification Methods To Evaluate Efficiency Results: A Case Study By Using Conjoint Analysis TT - Investigating Some Classification Methods To Evaluate Efficiency Results: A Case Study By Using Conjoint Analysis AU - Nazman, Ezgi AU - Olmuş, Hülya AU - Erbaş, Semra PY - 2019 DA - September DO - 10.2339/politeknik.459097 JF - Politeknik Dergisi PB - Gazi Üniversitesi WT - DergiPark SN - 2147-9429 SP - 687 EP - 694 VL - 22 IS - 3 LA - en AB - A new product development is animportant step of competitive advantage for producers. There are several issuesto be considered during developing a new product from the point of view of bothcustomers and producers. Costumer preferences require a great deal ofconsideration in order to able to address consumer needs in marketing. ConjointAnalysis (CA) is often preferred to reveal utility of the new product by meansof customer preferences order on a certain type of product or service which iswidely used to reveal how people value different attributes on a new productconcept. On the other hand, Data Envelopment Analysis (DEA) can be used todetermine efficient product concepts considering both utility and developmentexpenses of the products. In this study, CA was applied with the aim ofdetermining utilities of new car concepts. Then, DEA was used to revealefficient and inefficient car concepts on a real data set. Finally, mostcommonly used classification methods Linear Discriminant Analysis (LDA), binaryLogistic Regression (LR) and Artificial Neural Networks (ANN) were compared tovalidate the results of DEA in terms of accuracy.   KW - Conjoint analysis KW - data envelopment analysis KW - linear discriminant analysis KW - binary logistic regression KW - artificial neural networks N2 -  ABSTRACTA new product development is animportant step of competitive advantage for producers. There are several issuesto be considered during developing a new product from the point of view of bothcustomers and producers. Costumer preferences require a great deal ofconsideration in order to able to address consumer needs in marketing. ConjointAnalysis (CA) is often preferred to reveal utility of the new product by meansof customer preferences order on a certain type of product or service which iswidely used to reveal how people value different attributes on a new productconcept. On the other hand, Data Envelopment Analysis (DEA) can be used todetermine efficient product concepts considering both utility and developmentexpenses of the products. In this study, CA was applied with the aim ofdetermining utilities of new car concepts. Then, DEA was used to revealefficient and inefficient car concepts on a real data set. Finally, mostcommonly used classification methods Linear Discriminant Analysis (LDA), binaryLogistic Regression (LR) and Artificial Neural Networks (ANN) were compared tovalidate the results of DEA in terms of accuracy.   CR - [1] Chaney, P.K. and Devinney, T.M., “New product innovations and stock price performance”, Journal of Business, Finance and Accounting, 19: 677-695, (1992). CR - [2] Tone, K., “A slacks-based measure of efficiency in data envelopment analysis”, European Journal of Operational Research, 130: 498-509, (2001). 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