Araştırma Makalesi
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Illustration of Customer Analytics in Public Procurement

Yıl 2021, Cilt: 1 Sayı: 1, 46 - 54, 23.12.2021

Öz

According to European Commission and OECD, the share of public procurement in national economies (GDP) is 14% in EU countries and 12% in OECD countries. This rate is an important policy tool in Turkey is 7%. Public procurement is essentially made under the Public Procurement Act 4734. Besides, exceptions have been arranged for some institutions and organizations in order to meet the needs quickly and on-site. At this point, the State Supply Office appears as a central purchasing institution based on the role of intermediary between suppliers and public institutions. The aim of the study is to determine the profiles and purchasing tendencies of the customers who buy from the State Material Office by catalog method within the framework of customer analytics. In this context, customer segments based on value and behavior were created through analytical marketing methods RFM (recency, frequency and monetary) analysis. A strategy map was determined with the results obtained and the results were monitored on the business intelligence platform. Customer analytics are used extensively by the leading companies of the banking, telecom and retail sectors and significant outputs are achieved. Within this framework, customer analytical studies conducted in the public market are also important.

Kaynakça

  • Amalnick, M., S., Zadeh, S., A. (2017). Concurrent Evaluation of Customer Relationship Management and Organizational Excellence: An Empirical Study. Performance Improvement Quarterly,30(1) PP. 55–88
  • Balaban, M. E., & Kartal, E. (2015). Veri Madenciliği ve Makine Öğrenmesi Temel Algoritmaları ve R Dili ile Uygulamaları [Data Mining and Machine Learning Basic Algorithms and Applications with R Language]. Çağlayan Kitabevi, İstanbul.
  • Bilgi Toplumu Dairesi (2016). Kamu Bilgi ve İletişim Teknolojileri Yatırımları [Public Information and Communication Technologies Investments]. Ankara: T.C. Kalkınma Bakanlığı.
  • Corbae, J. & Balchandani, A. (2003). Consumer Direct Services. 8th official ECR-Europe Conference, Berlin.
  • Coussement, K., Van den Bossche, F. A., & De Bock, K. W. (2014). Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees. Journal of Business Research, 67(1), 2751-2758.
  • Hiziroglu, A. (2016). A Soft Computing Approach to Customer Segmentation. In Intelligent Techniques for Data Analysis in Diverse Settings (pp. 119-146). IGI Global.
  • Krishna, G. J., & Ravi, V. (2016). Evolutionary computing applied to customer relationship management: A survey. Engineering Applications of Artificial Intelligence, 56, 30-59.
  • Mohammed, A. A., Rashid, B. B., & Tahir, S. B. (2017). Customer relationship management and hotel performance: the mediating influence of marketing capabilities—evidence from the Malaysian hotel industry. Information Technology & Tourism, 17(3), 335-361.
  • Organization of Economic Cooperation and Development. (2017). Government at A Glance 2017 Edition. Public procurement. Retrieved from https://www.oecd.org/gov/government-at-a-glance-2017-highlights-en.pdf
  • Sarvari, P. A., Ustundag, A., & Takci, H. (2016). Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis. Kybernetes, Vol. 45 Issue: 7, pp.1129-1157. Shearer, C. (2000). The CRISP-DM model: the new blueprint for data mining. Journal of data warehousing, 5(4), 13-22.
  • Safari, F., Safari, N., & Montazer, G. A. (2016). Customer lifetime value determination based on RFM model. Marketing Intelligence & Planning.
  • Wei, J. T., Lin, S. Y., Yang, Y. Z., & Wu, H. H. (2016). Applying data mining and RFM model to analyze customers' values of a veterinary hospital. In 2016 International Symposium on Computer, Consumer and Control (IS3C) (pp. 481-484). IEEE.
Yıl 2021, Cilt: 1 Sayı: 1, 46 - 54, 23.12.2021

Öz

Kaynakça

  • Amalnick, M., S., Zadeh, S., A. (2017). Concurrent Evaluation of Customer Relationship Management and Organizational Excellence: An Empirical Study. Performance Improvement Quarterly,30(1) PP. 55–88
  • Balaban, M. E., & Kartal, E. (2015). Veri Madenciliği ve Makine Öğrenmesi Temel Algoritmaları ve R Dili ile Uygulamaları [Data Mining and Machine Learning Basic Algorithms and Applications with R Language]. Çağlayan Kitabevi, İstanbul.
  • Bilgi Toplumu Dairesi (2016). Kamu Bilgi ve İletişim Teknolojileri Yatırımları [Public Information and Communication Technologies Investments]. Ankara: T.C. Kalkınma Bakanlığı.
  • Corbae, J. & Balchandani, A. (2003). Consumer Direct Services. 8th official ECR-Europe Conference, Berlin.
  • Coussement, K., Van den Bossche, F. A., & De Bock, K. W. (2014). Data accuracy's impact on segmentation performance: Benchmarking RFM analysis, logistic regression, and decision trees. Journal of Business Research, 67(1), 2751-2758.
  • Hiziroglu, A. (2016). A Soft Computing Approach to Customer Segmentation. In Intelligent Techniques for Data Analysis in Diverse Settings (pp. 119-146). IGI Global.
  • Krishna, G. J., & Ravi, V. (2016). Evolutionary computing applied to customer relationship management: A survey. Engineering Applications of Artificial Intelligence, 56, 30-59.
  • Mohammed, A. A., Rashid, B. B., & Tahir, S. B. (2017). Customer relationship management and hotel performance: the mediating influence of marketing capabilities—evidence from the Malaysian hotel industry. Information Technology & Tourism, 17(3), 335-361.
  • Organization of Economic Cooperation and Development. (2017). Government at A Glance 2017 Edition. Public procurement. Retrieved from https://www.oecd.org/gov/government-at-a-glance-2017-highlights-en.pdf
  • Sarvari, P. A., Ustundag, A., & Takci, H. (2016). Performance evaluation of different customer segmentation approaches based on RFM and demographics analysis. Kybernetes, Vol. 45 Issue: 7, pp.1129-1157. Shearer, C. (2000). The CRISP-DM model: the new blueprint for data mining. Journal of data warehousing, 5(4), 13-22.
  • Safari, F., Safari, N., & Montazer, G. A. (2016). Customer lifetime value determination based on RFM model. Marketing Intelligence & Planning.
  • Wei, J. T., Lin, S. Y., Yang, Y. Z., & Wu, H. H. (2016). Applying data mining and RFM model to analyze customers' values of a veterinary hospital. In 2016 International Symposium on Computer, Consumer and Control (IS3C) (pp. 481-484). IEEE.
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Research Articles
Yazarlar

Ümit Cengiz Uysal Bu kişi benim 0000-0001-7821-4955

Abdulkadir Hızıroğlu Bu kişi benim 0000-0003-4582-3732

Muhammed Emin Karabacak Bu kişi benim 0000-0002-6785-0136

Yayımlanma Tarihi 23 Aralık 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 1 Sayı: 1

Kaynak Göster

APA Uysal, Ü. C., Hızıroğlu, A., & Karabacak, M. E. (2021). Illustration of Customer Analytics in Public Procurement. AYBU Business Journal, 1(1), 46-54.
AMA Uysal ÜC, Hızıroğlu A, Karabacak ME. Illustration of Customer Analytics in Public Procurement. AYBU Business Journal. Aralık 2021;1(1):46-54.
Chicago Uysal, Ümit Cengiz, Abdulkadir Hızıroğlu, ve Muhammed Emin Karabacak. “Illustration of Customer Analytics in Public Procurement”. AYBU Business Journal 1, sy. 1 (Aralık 2021): 46-54.
EndNote Uysal ÜC, Hızıroğlu A, Karabacak ME (01 Aralık 2021) Illustration of Customer Analytics in Public Procurement. AYBU Business Journal 1 1 46–54.
IEEE Ü. C. Uysal, A. Hızıroğlu, ve M. E. Karabacak, “Illustration of Customer Analytics in Public Procurement”, AYBU Business Journal, c. 1, sy. 1, ss. 46–54, 2021.
ISNAD Uysal, Ümit Cengiz vd. “Illustration of Customer Analytics in Public Procurement”. AYBU Business Journal 1/1 (Aralık 2021), 46-54.
JAMA Uysal ÜC, Hızıroğlu A, Karabacak ME. Illustration of Customer Analytics in Public Procurement. AYBU Business Journal. 2021;1:46–54.
MLA Uysal, Ümit Cengiz vd. “Illustration of Customer Analytics in Public Procurement”. AYBU Business Journal, c. 1, sy. 1, 2021, ss. 46-54.
Vancouver Uysal ÜC, Hızıroğlu A, Karabacak ME. Illustration of Customer Analytics in Public Procurement. AYBU Business Journal. 2021;1(1):46-54.