Dr Emrah Bilgic

Dr. Emrah Bilgic is a Lecturer in Business Analytics with over 15 years of experience in Higher Education. He holds an Associate Professorship in Turkiye and has an extensive background in teaching analytics-related modules. He holds Fellowship status (FHEA) with the Higher Education Academy, recognising his professional practice and commitment to excellence in teaching and learning in UK Higher Education. He has previously been involved in various research projects in the United States, Sweden, the United Kingdom and Turkey.

He has extensive experience in designing, developing and teaching a wide range of undergraduate and postgraduate modules, including Business Analytics, Operations Research, Operations and Production Management, Supply Chain and Logistics Management, Project Management, Marketing Analytics, Statistical Decision Making,  Digital Marketing and E-Commerce, and Research Methods.

His teaching approach combines theoretical foundations with practical applications, emphasising data-driven decision-making, problem-solving and real-world business challenges. He incorporates digital pedagogy, flipped classroom approaches and hands-on analytical activities to enhance student engagement and learning.

More recently, he has integrated generative artificial intelligence, particularly Microsoft Copilot, into his Business Analytics teaching. Students use AI alongside traditional analytical tools such as Excel to perform quantitative analyses, interpret results, critically evaluate AI-generated outputs and develop responsible AI literacy. He has also explored the use of AI agents and Microsoft Copilot Studio to demonstrate practical applications of AI in business decision-making.

His educational interests include curriculum innovation, AI-enhanced learning, digital transformation in higher education and the development of students' analytical, technological and critical thinking skills.

Institute for Responsible Business and Social Justice 

Articles (Scopus or WoS Indexed)

1) Ak, M., Turkmenoglu, M. A., Uysal, H. T., Yilmaz, F., & Bilgic, E. (2026). Understanding justice at work: The interplay of social comparison and psychological contract in the healthcare industry. SAGE Open, 16(3). doi.org/10.1177/21582440261480220

2) Bilgic, E., Cakir, O., Kantardzic, M., Duan, Y., Cao, G. (2021). Retail analytics: store segmentationusing Rule-Based Purchasing behavior analysis. The International Review of Retail, Distribution andConsumer Research, 31(4), 457-480. doi.org/10.1080/09593969.2021.1915847

3) Tuncalı Yaman, T., Bilgic, E., Fevzi Esen, M. (2021) Analysis of traffic accidents with fuzzy and crispdata mining techniques to identify factors affecting injury severity. Journal of Intelligent & FuzzySystems, 42(1), 575-592.

4) Esen, M. F., Bilgic, E., Basdas, U. (2019). How to detect illegal corporate insider trading? A datamining approach for detecting suspicious insider transactions. Intelligent Systems in Accounting,Finance and Management, 26(2), 60-70. doi.org/10.1002/isaf.1446

Book Chapters in International Publishers

1) Bilgic, E. (2020), Human Resources Information Systems: A Recent Literature Survey", Turkmenoglu,M.A. and Cicek, B. (Ed.) Contemporary Global Issues in Human Resource Management, EmeraldPublishing Limited, Bingley, pp. 73-87. https://doi.org/10.1108/978-1-80043-392-220201008

2) Polat, S., Esen, F., Bilgic, E. (2019). Analysis of the 5Vs of Big Data in Virtual Travel Organizations.In Big Data and Knowledge Sharing in Virtual Organizations (pp. 43-70). IGI Global.

Selected International Conference Papers 

1)  Bilgic, E., & Karagoz, S. (2026). From Excel to Copilot: Exploring student experiences of GEN-AI for analytical learning and responsible AI use in undergraduate business analytics education. 6th International Conference on Educational Management and Leadership, The British University in Dubai, Dubai

2) Bilgic, E., Eryuzlu, H., Tutar, H., & Volkan, P. (2026). Supply chain disruption and workforce vulnerability following the 2023 Türkiye earthquakes: Preliminary evidence from Hatay [Developmental paper presentation]. British Academy of Management Conference 2026 (BAM2026), London.

3) Karagoz, S., Bilgic, E., (2026) Evaluating the Sustainability Consequences of a Disposable Vape Ban: A Comparative Case Study of the UK and Malaysian E-Commerce Markets. 9th International Conference on Social Sciences (ICSS-2026) Malaysia

4) Bilgic, E., Duan, Y., & Karagoz, S. (2024) Business Analytics Education: A Literature Review And Implications. MCCSIS 2024, 198.19^th International Conference on Digital Transformation and Innovation Management,13 – 15 July 2024 Budapest, Hungary (076212webtoc.pdf)

 5) Yaman, T. T.; Bilgic, E. (2019, October). Is Business Analytics Education Sufficient in BusinessSchools? The Case in Turkish Business Schools. In 2019 3rd International Conference on DataScience and Business Analytics (ICDSBA) (pp. 152-156). IEEE.

6) Bilgic, E.; Duan, Y. (2019, April). E-commerce and business analytics: A literature review. InInternational Conference on Digital Economy (pp. 173-182). Springer, Cham.

7) Bilgic, E., Kantardzic, M., Cakir, O. (2015, July). Retail store segmentation for target marketing. InIndustrial Conference on Data Mining (pp. 32-44). Springer, Cham.

Other Publications (Indexed Journals)

1) Eryüzlü, H., Mutlu, H. T., Bilgic, E., & Yılmaz, M. (2026). Assessment of Earthquake Preparedness Among Companies in the TR63 Region: An Analysis Based on Demographic and Structural Variables After the February 6, 2023 Earthquakes. Akdeniz Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 18, 62-88.

2) Bilgic, E., Türkmenoğlu, M. A., & Koçak, A. (2020). Examining Digitalization in the Context of Logistics Management. Akademik İzdüşüm Dergisi, 5(1), 56-69.

3) Bilgic, E., Türkmenoğlu, M. A., & Bozoğlu Batı, G. (2019). Business analytics and value chain: A comprehensive and systematic literature review. Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi(54), 1-24. https://doi.org/10.18070/erciyesiibd.510774

4) Bilgic, E. (2019). Market Basket Analysis with R programming Language: An Application on consumer purchasing behavior of a Supermarket in Mus. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 7(3), 89-97. https://doi.org/10.18506/anemon.462998

5) Bilgic, E., & Çakır, Ö. (2019). Store Segmentation Of Retail Chains Via Socioeconomic Approach. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 41(2), 338-363. https://doi.org/10.14780/muiibd.665054

6) Esen, M., & Bilgic, E. (2018). Decision Making With Topsis And K-Medoids: An Application On Customer Recovery With R Programming Language. Yönetim Ve Ekonomi Araştırmaları Dergisi, 16(1), 221-237. https://doi.org/10.11611/yead.446094 

7) Bilgic, E. (2019). A comparative application of clustering mixed-type datasets using KAMILA, K-Means, K-Medoids and K-Prototypes algorithms. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 20(2), 48–70. https://doi.org/10.37880/cumuiibf.507182

8) Bilgic, E., & Kocak, A. (2019). Sentiment and opinion mining: Recent developments and an application to the Third Airport. Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(17), 327–338. https://doi.org/10.29029/busbed.502586

9) Bilgic, E., & Cakir, O. (2018). Comparing clusterings: A store segmentation application. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 32(44), 41–57. https://dergipark.org.tr/en/pub/erusosbilder/issue/38479/369803

10) Bilgic, E., & Esen, M. F. (2018). Data mining and marketing in the era of Industry 4.0: Recent developments and emerging trends. İşletme Ekonomi ve Yönetim Araştırmaları Dergisi, 1(2), 21–29. https://dergipark.org.tr/en/pub/baybem/article/419591

 Other Conference Papers and Presentations

1. Bozoğlu Batı, G., Türkmenoğlu, M. A., Bilgic, E., & Uslu, T. (2021). Investigating business analytics applications in a Turkish e-commerce retailer. Online International Conference on Empirical Economics and Social Sciences (e-ICEESS'21), 3–4 July 2021, Bandırma, Türkiye.

2. Bilgic, E., & Esen, M. F. (2019). Multiclass classification with decision trees, Naive Bayes and logistic regression: An application with R. Conference paper. Antalya, Turkey

3. Bilgic, E., & Baydar, V. (2018). Panel data clustering with R: An application on macroeconomic variables of European countries. 19th International Symposium on Econometrics, Operations Research and Statistics, Antalya, Türkiye, 17–20 October, pp. 258–259.

4. Bilgic, E., et al. (2021). Dropshipping: A new business model and research topic in e-commerce. Conference presentation.

5. Bilgic, E., et al. (2020). Analysis of traffic accidents to identify factors affecting injury severity using fuzzy and crisp techniques. Conference presentation. Istanbul, Turkey

6. Bilgic, E., et al. (2017). Insider trading fraud detection: A data mining approach. Conference presentation. Ankara, Turkey

His key research outputs span Business Analytics, Artificial Intelligence, Data Mining, Digital Transformation, and Operations and Supply Chain Management.

His research has contributed to the application of data-driven analytical techniques in business decision-making, including retail store segmentation, customer behaviour analysis, marketing analytics, and the detection of suspicious financial transactions. His work has been published in international peer-reviewed journals, including The International Review of Retail, Distribution and Consumer Research, Intelligent Systems in Accounting, Finance and Management, and SAGE Open.

He has also contributed to research on Business Analytics education, examining its integration into business school curricula and exploring opportunities to enhance quantitative business education through digital technologies. His recent work focuses on integrating Generative AI, particularly Microsoft Copilot, into Business Analytics teaching to support students' analytical skills, critical thinking, and responsible AI literacy.

His wider research interests include AI-driven business applications, supply chain resilience, sustainability, and organisational decision-making, with recent research examining the impacts of the 2023 Türkiye earthquakes on businesses and supply chains.

My research interests focus on Business Analytics, Artificial Intelligence in Business, Data-Driven Decision Making, and Digital Transformation. I am particularly interested in applying data mining, machine learning, statistical modelling, and optimisation techniques to address business and management challenges.

My research also covers Operations Research, Supply Chain Management, Marketing Analytics, Business Intelligence, organisational resilience, and sustainability.

A growing area of my research focuses on Generative AI in Higher Education, particularly the integration of Microsoft Copilot and AI agents into quantitative business education. I am interested in responsible AI adoption, AI literacy, digital pedagogy, and the development of students' analytical and critical thinking skills through technology-enhanced learning.

 

Currently Teaching (De Montfort University)

• Business Analytics and Managing Data (UG - Year 3)

• Business Research and Analysis (UG- Year 2)

• Supply Chain Management (PG - MBA)

• Sustainability Issues in Business (UG- Year 2)

Teaching Portfolio – Previously Taught Modules

Throughout my academic career, I have designed, developed and delivered a wide range of undergraduate and postgraduate modules across business, management, analytics and quantitative disciplines.

Business Analytics, Quantitative Methods and Decision Sciences

• Operations Research

• Statistical Decision Making

• Statistics I and II

• Quantitative Methods

• Business Mathematics (Mathematics I and II)

• Logistics Planning and Modelling

Operations, Logistics and Management

• Operations Management

• Production Management

• Production and Inventory Management

• Project Management

Marketing, Digital Business and Technology

• Marketing Analytics

• Digital Marketing and E-Commerce

• Digital Media Literacy

My teaching experience includes both undergraduate and postgraduate education, with an emphasis on practical applications, analytical problem-solving and data-driven decision-making.

• PGCert in Empowering Education (FHEA), 2025, De Montfort University, Leicester/UK
• PhD, 2016 Marmara Business School, Business Analytics, Istanbul/Turkey
• MA, 2007 University of Skovde, Finance, Skovde/Sweden
• BSc, 2005 Osmangazi University, Statistics, Eskisehir/Turkey

Contemporary Sustainability Issues (2023-2024-2025)

Business Research and Analysis (2023-2024-2025-2026-2027)

Business Analytics (2024-2025-2026)

Supply Chain Management (2025-2026-2027)

British Academy of Management 

Fellow of the Higher Education Academy (FHEA)
Advance HE, United Kingdom
Awarded: 14 March 2025
Fellowship Reference: PR311945

Associate Professorship in Information Systems
Interuniversity Council of Türkiye (Üniversitelerarası Kurul Başkanlığı)
Awarded: 21 October 2022
Certificate No.: 85271

. Business Analytics Applications in E-Commerce Companies (2020–2021)

Scientific Research Project, Yalova University, Türkiye

• Role: Researcher

• Project Period: 1 August 2020 – 1 November 2021

• Principal Investigator: Gülgönül Bozoğlu Batı

This project investigated the application of Business Analytics in e-commerce companies, focusing on the use of analytical approaches to support business operations and data-driven decision-making.

2. Business Resilience and Recovery Following the 2023 Türkiye Earthquakes

TÜBİTAK 1001 – Scientific and Technological Research Projects Funding Programme, Türkiye

• Role: Researcher

• • Project Period: 1 August 2024 – 1 April 2026

• Principal Investigator: Prof. Dr. Hakan Eryüzlü

• Study Region: TR63 Region (Hatay, Kahramanmaraş and Osmaniye)

• Status: Completed

This project examined the impacts of the February 2023 earthquakes on businesses in the TR63 region, focusing on organisational resilience, operational disruptions, workforce challenges and recovery processes. The research involved data collection from 67 businesses and contributed to academic outputs on disaster preparedness, supply chain disruptions and business resilience.

2026 – British Academy of Management (BAM) Conference, London, UK
Developmental paper presentation: Supply Chain Disruption and Workforce Vulnerability Following the 2023 Türkiye Earthquakes: Preliminary Evidence from Hatay.

2026 – Responsible AI in Practice Summit, De Montfort University, Leicester, UK
Academic speaker on responsible artificial intelligence and its applications in higher education and business.

2026 – De Montfort University Business and Law Research and Innovation Conference, Leicester, UK
Research presentation.

2026 – 9th International Conference on Social Sciences (ICSS-2026)

9 April 2026, Kuala Lumpur, Malaysia.

2024 – International Conference on Computer Science and Information Systems (MCCSIS 2024)
Conference paper: Business Analytics Education: A Literature Review and Implications.

2019 – 3rd International Conference on Data Science and Business Analytics (ICDSBA)
Conference paper: Is Business Analytics Education Sufficient in Business Schools? The Case in Turkish Business Schools.

2019 – International Conference on Digital Economy
Conference paper: E-Commerce and Business Analytics: A Literature Review.

2015 – Industrial Conference on Data Mining
Conference paper: Retail Store Segmentation for Target Marketing.