İnanç KABASAKAL
İktisadi Ve İdari Bilimler Fakültesi, İşletme Bölümü, Sayısal Yöntemler Anabilim Dalı
Research areas: Social Sciences and Humanities, Management, Management Information Systems, Quantitative Methods, Production Management, Entrepreneurship and Innovation Management, Marketing, Knowledge Engineering, Test and Measurement in Education, Farming Economy
<p>I received my B.Sc. degree from Computer Engineering, Bilkent University in 2001 and worked for 11 years in Turkish IT industry in various positions (sofware engineer, software development team leader, software application consultant). I have worked for large scale enterprise projects in Turkish Ministry of Finance (2001-2002), TÜBİTAK BİLTEN (2002-2003), BOTT IT Solutions (2003-2004), Mobilsoft & Meteksan IT Group (2004-2007), and Innova IT Solutions in Turkish Telekom Group (2007-2010). Meanwhile I received my MBA degree (2009) from Hacettepe University. Afterwards, I have received my PhD degree (2017) from Ege University on Business Administration. My primary research areas involve Management Information Systems, Data Mining, Machine Learning.</p>
Publications
- CORRELATES OF PSYCHOTIC LIKE EXPERIENCES AMONG YOUNG ADULTS DURING THE COVID19 PANDEMIC ACROSS FOUR COUNTRIES: A DATA MINING STUDY (2026)
- COVİD-19 PANDEMİSİ SIRASINDA DÖRT ÜLKEDE GENÇ YETİŞKİNLER ARASINDA PSİKOTİK BENZERİ DENEYİMLERLE İLİŞKİLİ FAKTÖRLER: BİR VERİ MADENCİLİĞİ ÇALIŞMASI (2026)
- Correlates of Psychotic Like Experiences among Young Adults during the Covid19 Pandemic across Four Countries (2025)
- A Decision-Tree Based Model to Identify Student Drop-Out Predictors in an Online Course: A Case Study (2025)
- Redundant or Interesting? Inspection of Redundant Association Rules in a Psychiatric Dataset (2024)
- MÜŞTERİ YAŞAM BOYU DEĞERİ VE VERİ MADENCİLİĞİ (2023)
- Aktivizm, Sosyal Kimlik Teorisi ve Marka: 8 Mart Kadınlar Günü Odağında Politik ve Protest Tüketici Kimlikleri (2023)
- Predicting Quitting in Students in Speed-Reading Course: A Case Study (2023)
- Mining Sensor Data for Fault Prediction in Wheel Rim Molding (2023)
- A Customized Web-Based Training Platform for Industry 4.0 (2023)
- Çok Oyunculu Mobil Bir Oyun İçin Güncellik Sıklık Parasallık Modeline Dayalı Oyuncu Bölümlendirme (2023)
- A Customized Web-Based Training Platform for Industry 4.0 (2023)
- Competency Gap Identification Through Customized I4.0 Education Scale (2022)
- COVID-19 Enfeksiyonu Geçirmis Ergenlerde Psikoz Benzeri Yaşantılar ve COVID-19 Belirtileri ile İlişkili Faktörlerin Veri Madenciliği Yöntemiyle Araştırılması (2022)
- A Customized Web-Based Training Platform for Industry 4.0 (2022)
- Focal Industries in Information Systems Research (2022)
- Veri Madenciliği: Çocuk ve Ergen Psikiyatrisinde Kullanımı ve Uygulamaları (2022)
- PREDICTION OF HIGH CYCLE TIMES IN WHEEL RIM MOLDING WITH ARTIFICIAL NEURAL NETWORKS (2022)
- Market Basket Analysis of Basket Data with Demographics: A Case Study in E-Retailing (2021)
- Competency Gap Identification Through Customized I4.0 Education Scale (2021)
- A Review of Literature on the Quantitative Methods for Olive Yield Forecasting (2021)
- Zeytin Verim Tahmininde Kullanılan Sayısal Modellere İlişkin Bir Literatür Araştırması (2021)
- Market Basket Analysis of Basket Data with Demographics: A Case Study in E-Retailing (2021)
- Prioritizing Association-Rules for Product Recommendation: A Case Study In E-Retailing (2020)
- Eğitimde Veri Madenciliği (2020)
- A Jaccard Similarity-Based Model to Match Stakeholders for Collaboration in an Industry-Driven Portal (2020)
- Customer Segmentation Based On Recency Frequency Monetary Model: A Case Study in E-Retailing (2020)
- Quantitative Analysis of Stakeholder Perspective on the University-Industry-Government Collaboration in İzmir, Turkey (2020)
- Customer Lifetime Prediction Based on Customer Profile Data in Mobile Game Industry (2020)
- Application of Machine Learning Methods with Dimension Reduction Techniques for Fault Prediction in Molding Process (2020)
- An RFM-Based Customer Segmentation Model for Targeted Offers in Mobile Gaming Industry (2019)
- Understanding Shopping Behaviors With Category- and Brand-Level Market Basket Analysis (2019)
- Understanding Shopping Behaviors With Category- and Brand-Level Market Basket Analysis (2019)
- RFM Model for Segmentation in Retail Analytics: A Case Study (2019)
- Application of Machine Learning Methods with Dimension Reduction Techniques for Fault Prediction in Molding Process (2019)
- Pazar ve Müşteri Yönlü IoT (Internet of Things-Nesnelerin İnterneti) Uygulamalarının İş Yazılımları Kapsamında Analizi (2019)
- Artificial Neural Network Based Cycle-Time Prediction Model for Wheel Rim Molding (2019)
- A Conceptual Framework for Developing a Customized I 4.0 Education Scale: An Exploratory Research (2019)
- Lisans Öğrencilerinin Not Dökümü ile Derslere İlişkin Performansına Dayalı Bir Veri Madenciliği Uygulaması (2019)
- Associative Classification for Failure Prediction in Aluminum Wheel Molding: A Case Study (2019)
- Urban Information Systems in Industry 4.0 and Digital Transformation (2019)
- A Software Prototype for Collecting Meta-Data from Academic Databases (2019)
- A Prediction Model for Fault Detection in Molding Process Based on Logistic Regression Technique (2019)
- A Real-Time Quality Control Model for Perishable FoodTransportation Based on Outlier Analysis of Sensor Data (2018)
- A Literature Review On Industry 4.0 – Enabler Technologies And Future Prospects On Decision Support Systems (2018)
- Future Prospects on Maintenance Through Industry 4.0 Transformation (2018)
- An Assessment Model for Organizational Adoption of Industry 4.0Based on Multi-criteria Decision Techniques (2018)
- Quantitative Methods For Olive Harvest Prediction: A Classification Based On Prior Research (2018)
- Industry 4.0, IoT and Future Prospects in Agriculture: Opportunities and Challenges (2018)
- Major Industries in Information Systems Research: A Quantitative Analysis on the NAICS Codes in Article Meta-Data (2017)
- From Mass Customization to Product Personalization in Automotive Industry: Potentials of Industry 4.0 (2017)
- TEDARİKÇİ DEĞERLENDİRME VE SİPARİŞ MİKTARI BELİRLEME PROBLEMİ İÇİN BULANIK BİR YAKLAŞIM (2017)
- From Mass Customization To Product Personalization In Automotive Industry: Potentials Of Industry 4.0 (2017)
- TEDARİKÇİ DEĞERLENDİRME VE SİPARİŞ MİKTARI BELİRLEME PROBLEMİ İÇİN BULANIK BİR YAKLAŞIM (2017)
- A Model On Baggage Management Processes in Aviation Industry Based on Industry 4.0 Applications (2017)
- A Decision Support System Based On Genetic Algorithm For Variable Sized Bin Packing Problem With Item Conflicts (2017)
- Genetic Algorithm for the Two-Dimensional Bin Packing Problem With Conflicts (2017)
- Tedarikçi Değerlendirme ve Sipariş Miktarı Belirleme Problemi İçin Bulanık Bir Yaklaşım (2017)
- 1996-2015 Arası Yayımlanan Bilgi Sistemleri Makalelerinin Anahtar Kelimelerine İlişkin Retrospektif Bir Çalışma (2017)
- Discovering Frequent Keyword Pairs Addressed in Operations Management Related Articles Published Between 2000 and 2016 with Data Mining (2017)
- 2000-2016 ARASI İŞLEMLER YÖNETİMİ ALANIYLA İLGİLİ MAKALELERDE YAYGIN ANAHTAR KELİME ÇİFTLERİNİN VERİ MADENCİLİĞİ İLE BELİRLENMESİ (2017)
- Bilgi Sistemleri Literatüründe 1996-2015 Arasında Kullanılan Anahtar Kelimelerin Analizi (2016)
- İŞLEMLER YÖNETİMİ ALANINDAKİ MAKALELERİN ANAHTAR KELİME BİRLİKTELİKLERİNİN VERİ MADENCİLİĞİ İLE BELİRLENMESİ VE TREND ANALİZİ (2016)
- VERİ MADENCİLİĞİNDE ÇOK BOYUTLU SEPET ANALİZİ UYGULAMALARI BİR SANAL MARKET UYGULAMASI (2014)
- Üretim Yönetiminde Değişen Akademik Eğilimler Üzerine Bir Araştırma (2014)
- Veri Madenciliğinde Çok Boyutlu Sepet Analizi Uygulamaları Bir Sanal Market Uygulaması (2014)
- Üretim Yönetiminde Değişen Akademik Eğilimler Üzerine Bir Araştırma (2014)
- Prioritizing Association-Rules for Product Recommendation: A Case Study In E-Retailing
- SCADA Data Analysis with Decision Trees for Fault Prediction in Wheel Rim Molding
- Redundant or Interesting? Inspection of Redundant Association Rules in a Psychiatric Dataset
- Redundant or Interesting? Inspection of Redundant Association Rules in a Psychiatric Dataset
- An Assessment Model for Organizational Adoption of Industry 4.0 Based on Multi-criteria Decision Techniques