Dergiler / NATURENGS / 2020 / Cilt: 1 - Sayı: 2

Determination of Consumer Preferences for Goose Meat Using Conjoint Analysis

Sayfa
62–75
Yayın Tarihi
2020-12-31
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Considering the results of the data obtained from the study, it is thought that the market share of the goose meat will increase if its recognition is increased by applying a reasonable pricing strategy, and standardizing the quality of the product.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study examines the consumer preferences for goose meat purchases of consumers who had previously purchased goose meat.
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Temel Bulgular & Veri:According to data of the Turkish Statistical Institute (TURKSTAT) for 2019, 44.07% of the goose population of Turkey (1,157,049) spread among the provinces of Kars (27.26%), Ardahan (8.68%), and Mus (8.13%).
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Sonuç & Katkı:Considering the results of the data obtained from the study, it is thought that the market share of the goose meat will increase if its recognition is increased by applying a reasonable pricing strategy, and standardizing the quality of the product.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:2019 Verileri
⚙️Değişkenler:Goose Meat · Consumer Preferences · Market Research

Abstract

This study examines the consumer preferences for goose meat purchases of consumers who had previously purchased goose meat. The main purpose of this study is to determine which factors are more important for consumers when purchasing goose meat. Accordingly, the conjoint analysis technique, which is one of the multivariate statistical analysis methods, is used to determine the factors affecting goose meat purchases and the reasons for preferring goose meat. According to data of the Turkish Statistical Institute (TURKSTAT) for 2019, 44.07% of the goose population of Turkey (1,157,049) spread among the provinces of Kars (27.26%), Ardahan (8.68%), and Mus (8.13%). A sample of 172 people was selected by using the convenience sampling technique, one of the non-probability sampling methods, among the people who lived or have been living in these provinces and consumed goose meat. Market research and a questionnaire, which was prepared to determine consumer preferences, were conducted on this sample. According to the results of the analysis, the most significant factor determining the consumer preference for goose meat was found to be the price of goose meat per kilo (37.3%). This was followed by the region where the goose was raised (32.8%), the place where the goose meat was sold (21.6%), and the presence of the product label (8.3%) with the identification information of the product. Considering the results of the data obtained from the study, it is thought that the market share of the goose meat will increase if its recognition is increased by applying a reasonable pricing strategy, and standardizing the quality of the product.

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Bu Makaleye Atıf Yap

GÜNDÜZ, S. (2020). Determination of Consumer Preferences for Goose Meat Using Conjoint Analysis. NATURENGS, Cilt: 1 - Sayı: 2, 62–75. https://ajindex.com/articles/793325

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Kaynakça (2)

  1. Aktaş, S., Akkuş, Ö. and Osmanoğlu, S. (2012). A Practical Study on the Performances of the Conditional Logit and Conjoint Analyses in the Modelling of the Polychotomous Dependent Variable. Istanbul Commerce University Journal of Science, 11(21): 25-40. [2] Álvarez-Farizo, B. and Hanley, N. (2002). Using Conjoint Analysis to Quantify Public Preferences over the Environmental Impacts of Wind Farms. An Example from Spain. Energy Policy, 30(2): 107-116. [3] Arslan, C. (2018).
  2. Kazların Ekstansif, Yarı Entansif ve Entensif Üretim Sistemlerine Göre Belirlenmesi. Türkiye Kaz Yetiştiriciliği Çalıştayı ve Kaz Günü Etkinliği Sonuç Raporu, 22-23 February 2018, Yozgat, 85-94. [4] Aşkın, Y. and İlaslan, M. (1976). Kars Bölgesi Kazlarında Ekonomik Önemi Olan Bazı Karakterler Üzerinde Araştırmalar. Ankara Üniversitesi Ziraat Fakültesi Yıllığı, 26: 542-552. [5] Baki, F., Saner, G., Adanacıoğlu, H., and Güler, D. (2017). A Conjoint Analysis of Consumer Preferences for Honeydew Honey in Turkey: A Case of İzmir Province. Balkan and Near Eastern Journal of Social Sciences, 3(2): 50-57. [6] Boz, M.A. and Sarıca, M. (2018). Türkiye’de Kaz Yetiştiriciliğinin Durumu ve Geleceği. Türkiye Kaz Yetiştiriciliği Çalıştayı ve Kaz Günü Etkinliği Sonuç Raporu, 22-23 February 2018, Yozgat, 36-44. [7] Bridges, J. F., Hauber, A. B., Marshall, D., Lloyd, A., Prosser, L. A., Regier, D. A., Johnson, F. R., and Mauskopf, J. (2011). Conjoint Analysis Applications in Health a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value in Health, 14(4): 403-413. [8] Çamlıdere, Ö. (2005). Conjoint Analysis and an Application to Mobile Phones Preference. Master Thesis, Gazi University, Institute of Natural and Applied Sciences, Ankara, 64 pp. [9] Çatpınar, H. (2005). Özel Sağlık Sigortalarında Konjoint Analizi ile Tüketici Tercihi. Sigorta Araştırmaları Dergisi, 1. [10] Çetinel, B. and Yeniay, O. (1997). Konjoint Analiz ve Cep Telefonu Pazarı Üzerine Bir Araştırma. 3. Ulusal Ekonometri ve İstatistik Sempozyumu Bildiri Kitabı, Bursa, 15-24. [11] Çevik, O. and Yiğit, A. M. (2011). Determining Office Furniture Consumers’ Preferences with Conjoint Analysis. Karamanoglu Mehmetbey University Journal of Social and Economic Research, 13 (20): 105-110. [12] Ceylan, H. H. (2013). Market Segmentation Based on Benefit in Retail Sector by Using Conjoint and Cluster Analysis. CBU, Journal of Management and Economics, 20(1): 141-154. [13] Deniz Akıncı, E., Bacanlı, S., and K