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Yönetim Bilişim Sistemleri ve Pazarlama Alanlarının Kesişim Noktaları: Bibliyometrik Bir İnceleme

Yıl 2025, Cilt: 7 Sayı: 3, 286 - 301, 31.12.2025
https://doi.org/10.38009/ekimad.1734428

Öz

Günümüzde bilimsel çalışmalar, farklı alanlardaki etkileşimleri anlamaya yönelik analizlere daha fazla odaklanmaktadır. Son yıllarda dijitalleşme ve veri odaklı karar alma süreçlerinin hız kazanmasıyla birlikte “yönetim bilişim sistemleri” ve “pazarlama” disiplinleri arasındaki etkileşim akademik literatürde dikkat çeken bir araştırma alanı haline gelmiştir. Yönetim bilişim sistemleri, işletmelerin bilgi teknolojilerinden stratejik düzeyde yararlanmasını sağlayan disiplinler arası bir alan olarak pazarlama faaliyetlerinin dijital dönüşüm sürecinde kritik bir rol üstlenmektedir. Bu çalışma, bu iki alan arasındaki akademik etkileşimi ortaya koymak amacıyla bibliyometrik bir analiz yöntemiyle gerçekleştirilen literatür taramasına dayanmaktadır. Bu kapsamda çalışmadaki veriler Web of Science (WoS) veri tabanından elde edilmiş, “information systems” ve “marketing” anahtar kelimeleri gözlem birimi olarak kabul edilmiştir. Yılları 2000-2024 arasında değişen, İngilizce dilinde yayımlanan makaleler listelenmiş ve toplamda 895 makaleye erişilmiştir. Çalışma kapsamında seçilen kriterler ile ulaşılan tüm yayınlar örnekleme dâhil edilmiş ve verilerin analiz edilmesi için VOSviewer programından yararlanılmıştır. Böylece, alandaki araştırma eğilimleri, öne çıkan yazarlar, dergiler ve tematik odak noktaları sistematik bir biçimde değerlendirilmiştir. Analiz sonuçları, yönetim bilişim sistemleri ve pazarlama alanlarının giderek birbirine entegre olduğunu, ABD başta olmak üzere önde gelen ülkelerin bu alanda yoğun akademik katkıda bulunduğunu ve belirli kurum ve yazarların ön plana çıktığını göstermektedir. Ayrıca, bibliyometrik bulgular, yapay zekâ, büyük veri analitiği, makine öğrenmesi ve dijital pazarlama gibi güncel teknolojilerin iki alanın kesişiminde önemli araştırma temaları hâline geldiğini ortaya koymaktadır. Bu bağlamda çalışma, hem akademik araştırmalar hem de uygulamaya yönelik çalışmalar için yönetim bilişim sistemleri ve pazarlama alanlarındaki temel eğilimleri ve odak noktalarını anlamada değerli bir kaynak sunmaktadır.

Kaynakça

  • Abedin, B., Jafarzadeh, H. & Olszak, C. M. (2021). Thirty Six Years of Information Systems Management: A Bibliometric and Thematic Analysis. Information Systems Management, 38(2), s. 151-164.
  • Alamsyah, D. P., Ratnapuri, C. I., Aryanto, R. & Othman, N. A. (2021). Digital Marketing: Implementation of Digital Advertising Preference to Support Brand Awareness. Academy of Strategic Management Journal, 20(2), s. 1-10.
  • Alfawareh, F. S., Al-Kofahi, M., Al-Kofahi, B. A., Alshirah, M. H., Alshira’h, M. & Ananzeh, H. (2021). A Bibliometric Analysis of Published Articles on Management Information Systems (MIS). Information and Knowledge Management, 11(4), s. 142-149.
  • Anzeh, A.Y.A., Abushaweesh, Q.B., Alfayez, M. & AlQudah, M.Z. (2024). Mapping the Future Information Systems and Marketing Strategy-A Bibliometric Analysis of Emerging Trends. EDPACS, 69(10), s. 1-29.
  • Azis, N., Ahmad, A. & Putra, A.H.P.K. (2023). Unveiling the Synergy: Exploring the Intersection of Artificial Intelligence, Digital Management Information Systems, and Marketing Management in a Qualitative Research Study. International Journal of Artificial Intelligence Research, 7(2), s. 188-212.
  • Bendre, P., Murukate, P., Desai, V., Dhenge, D. & Kelkar, B. (2017). Management Information System. International Journal of Advance Research and Development, 2(4), s. 119-126.
  • Chen, H., Chiang, R. H. & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), s. 1165-1188.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to Conduct a Bibliometric Analysis: An Overview and Guidelines. Journal of Business Research, 133, s. 285-296.
  • Dwivedi Y.K., Lois, H., Slade E.L., Anand, J. & Kar Anirban, K. (2023). So What If ChatGPT Wrote It? Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71, 102642.
  • Dwiwijaya, K. A. (2024). E-Business and Digital Marketing: Integrating Management Information Systems for Competitive Advantage. International Journal of Innovative Research, 2(6), s. 1056-1067.
  • Eppler, M. J. & Mengis, J. (2008). “The Concept of Information Overload-A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004). The Information Society: An International Journal, 20(5), s. 1-20.
  • France, S.L., Vaghefi, M.S. & Kazandjian, B. (2021). Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing. arXiv, preprint arXiv:2107.14019
  • France, S.L., Vaghef, M.S., Kazandjian, B. & Warkentin, M. (2024). Bridging Information Systems and Marketing: Charting Collaborative Pathways. Decision Support Systems, 187, 114328.
  • Gandomi, A. & Haider, M. (2015). Beyond the Hype: Big Data Concepts, Methods and Analytics. International Journal of Information Management, 35(2), s. 137-144.
  • Gözen, H. (2024). Pazarlama Bilişim Sistemleri. Yönetim Bilişim Sistemlerinde Güncel Konular, Eğitim Yayınevi, s. 269-290, ISBN: 978-625-6251-29-8
  • Gangwar, R., Dash, B., Nanda, A. & Ayyub, S. (2024). Impact of Artificial Intelligence (AI) Enabled Management Information System (MIS) in Managerial Decision Making: An Empirical Study of Leading Business Organisation. Journal of Informatics Education and Research, 4(2), s. 1325-1331.
  • Hair, Jr, J. F., Sarstedt, M., Matthews, L. M. & Ringle, C. M. (2016). Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part I–Method. European Business Review, 28(1), s. 63-76.
  • Hair, J. F., Sarstedt, M. & Ringle, C. M. (2019). Rethinking Some of the Rethinking of Partial Least Squares. European Journal of Marketing, 53(4), s. 566-584.
  • Hameed, I. M., Singla, J. & Goel, R. (2024). Management Information Systems and Organizational Agility: A Bibliometric Analysis. Competitiveness Review: An International Business Journal, s. 1-24.
  • Hossain, Q., Yasmin, F., Biswas, T.R. & Asha, N.B. (2024). Integration of Big Data Analytics in Management Information Systems for Business Intelligence. Saudi J Bus Manag Stud, 9(9), s. 192-203.
  • Huang, M. H. & Rust, R. T. (2021). A Strategic Framework for Artificial Intelligence in Marketing. Journal of the academy of Marketing Sscience, 49(1), s. 30-50.
  • Jarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61(4), 577-586.
  • Jordan, M. I. & Mitchell, T. M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science, 349(6245), s. 255-260.
  • Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in Social Media Research: Past, Present and Future. Information Systems Frontiers, 20, s. 531-558.
  • Koufaris, M. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2), s. 205-223.
  • Laudon, K. C. & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm. (16th ed.), Pearson.
  • Liu, C. & Arnett, K. P. (2000). Exploring the Factors Associated with Web Site Success in the Context of Electronic Commerce. Information & Management, 38(1), s. 23-33.
  • Le, H. T. P. M., Nguyen, P. V., Chebbi, H. & Dinh, D. M. (2025). The Evolution of International Marketing Management: AI Applications and Emerging Markets Driving International Selling in the Digital Era. International Marketing Review, s. 1-36.
  • Luca, M. & Zervas, G. (2016). Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud. Management Science, 62(12), s. 3412-3427.
  • Medina-Quintero, J. M., Sahagun, M. A., Alfaro, J. & Ortiz-Rodriguez, F. (Eds.). (2023). Global Perspectives on the Strategic Role of Marketing Information Systems. IGI Global.
  • Nasır, S. (2005). The Development, Change, and Transformation of Management Information Systems (MIS): A Content Analysis of Articles Published in Business and Marketing Journals. International Journal of Information Management, 25(5), s. 442-457.
  • Pappas, I. O. & Woodside, A. G. (2021). Fuzzy-Set Qualitative Comparative Analysis (fsQCA): Guidelines for Research Practice in Information Systems and Marketing. International Journal of Information Management, 58, 102310.
  • Pehlivan, N. N. & Alayvaz Güngör, C. (2024). Vosviewer ile Yerinde Yaşlanma Çalışmalarının Bibliyometrik Analizi: Mevcut Durum ve Eğilimler. Sosyal Politika Çalışmaları Dergisi, 24(65), s. 737-768.
  • Peng, D. X. & Lai, F. (2012). Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research. Journal of Operations Management, 30(6), s. 467-480.
  • Porter, M. E. & Millar, V. E. (1985). How Information Gives You Competitive Advantage. Harvard Business Review, s. 149-152.
  • Salvador, A.B. & Ikeda, A.A. (2014). Big Data Usage in the Marketing Information System. Journal of Data Analysis and Information Processing, 3(2), s. 77-85.
  • Shaheen, H. (2025). Social Media Marketing Research: A Bibliometric Analysis from Scopus. Future Business Journal, 11(41), s. 1-26.
  • Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R. & Carlsson, C. (2002). Past, Present, and Future of Decision Support Technology. Decision Support Systems, 33(2), s. 111-126.
  • Stoykova, S. & Shakev, N. (2023). Artificial Intelligence for Management Information Systems: Opportunities, Challenges, and Future Directions. Algorithms, 16(8), s. 357.
  • Talvinen, J. M. (1995). Information Systems in Marketing Identifying Opportunities for New Applications. European Journal of Marketing, 29(1), s. 8-26.
  • Taş, B. & Şeker, Ş.E. (2017). Nöropazarlama ve Yönetim Bilişim Sistemleri. YBS Ansiklopedi, 4(2), s. 11-17.
  • Trainor, K. J., Rapp, A., Beitelspacher, L. S. & Schillewaert, N. (2011). Integrating Information Technology and Marketing: An Examination of the Drivers and Outcomes of E-Marketing Capability. Industrial Marketing Management, 40(1), s. 162-174.
  • Turhan, G. & Türkoğlu, Y. (2023). Dijital Diplomasi Alanında Yapılan Akademik Çalışmaların Bibliyometrik Analizi. Elektronik Sosyal Bilimler Dergisi, 22(87), s. 910-924.
  • Van Eck, N. & Waltman, L. (2010). Sofware Survey: VOSviewer, A Computer Program for Bibliometric Mapping. Scientometrics, 84(2), s. 523-538.
  • Wei, M. (2010). Construction of Marketing Management Information System of Travel Agency Based on Customer Relationship Management. Advanced Materials Research, 136, s. 69-76.
  • Zengin, B. & Arslan, H. (2017). Pazarlama Bilişim Sistemleri Kullanımının Konaklama İşletmelerine Etkileri: İstanbul’daki 5 Yıldızlı Otel İşletmeleri Üzerine Bir Araştırma. Akademik Sosyal Araştırmalar Dergisi, 5(48), s. 518-532.
  • Zupic, I. & Čater, T. (2015). Bibliometric Methods in Magement and Organization. Organizational Research Methods, 18(3), s. 429-472.

Intersections of Management Information Systems and Marketing Fields: A Bibliometric Review

Yıl 2025, Cilt: 7 Sayı: 3, 286 - 301, 31.12.2025
https://doi.org/10.38009/ekimad.1734428

Öz

Today, scientific studies are increasingly focusing on analyses aimed at understanding the interactions between different fields. With the acceleration of digitalization and data-driven decision-making processes in recent years, the interaction between the disciplines of “management information systems” and “marketing” has become a prominent research area in academic literature. Management information systems, as an interdisciplinary field that enables businesses to benefit from information technologies at a strategic level, plays a critical role in the digital transformation process of marketing activities. This study is based on a literature review conducted using a bibliometric analysis method to reveal the academic interaction between these two fields. In this context, the data in the study was obtained from the Web of Science (WoS) database, and the keywords “information systems” and “marketing” were accepted as the observation units. Articles published in English between the years 2000-2024 were listed, and a total of 895 articles were accessed. All publications accessed with the selected criteria were included in the sample, and the VOSviewer program was used for data analysis. Thus, research trends in the field, prominent authors, journals, and thematic focus areas have been systematically evaluated. The analysis results show that management information systems and marketing fields are increasingly integrated, with leading countries, particularly the USA, making significant academic contributions in this area, and certain institutions and authors standing out. Furthermore, bibliometric findings reveal that current technologies such as artificial intelligence, big data analytics, machine learning, and digital marketing have become important research themes at the intersection of the two fields. In this context, the study offers a valuable resource for understanding the fundamental trends and focus areas in management information systems and marketing, both for academic research and applied studies.

Kaynakça

  • Abedin, B., Jafarzadeh, H. & Olszak, C. M. (2021). Thirty Six Years of Information Systems Management: A Bibliometric and Thematic Analysis. Information Systems Management, 38(2), s. 151-164.
  • Alamsyah, D. P., Ratnapuri, C. I., Aryanto, R. & Othman, N. A. (2021). Digital Marketing: Implementation of Digital Advertising Preference to Support Brand Awareness. Academy of Strategic Management Journal, 20(2), s. 1-10.
  • Alfawareh, F. S., Al-Kofahi, M., Al-Kofahi, B. A., Alshirah, M. H., Alshira’h, M. & Ananzeh, H. (2021). A Bibliometric Analysis of Published Articles on Management Information Systems (MIS). Information and Knowledge Management, 11(4), s. 142-149.
  • Anzeh, A.Y.A., Abushaweesh, Q.B., Alfayez, M. & AlQudah, M.Z. (2024). Mapping the Future Information Systems and Marketing Strategy-A Bibliometric Analysis of Emerging Trends. EDPACS, 69(10), s. 1-29.
  • Azis, N., Ahmad, A. & Putra, A.H.P.K. (2023). Unveiling the Synergy: Exploring the Intersection of Artificial Intelligence, Digital Management Information Systems, and Marketing Management in a Qualitative Research Study. International Journal of Artificial Intelligence Research, 7(2), s. 188-212.
  • Bendre, P., Murukate, P., Desai, V., Dhenge, D. & Kelkar, B. (2017). Management Information System. International Journal of Advance Research and Development, 2(4), s. 119-126.
  • Chen, H., Chiang, R. H. & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), s. 1165-1188.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. & Lim, W. M. (2021). How to Conduct a Bibliometric Analysis: An Overview and Guidelines. Journal of Business Research, 133, s. 285-296.
  • Dwivedi Y.K., Lois, H., Slade E.L., Anand, J. & Kar Anirban, K. (2023). So What If ChatGPT Wrote It? Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy. International Journal of Information Management, 71, 102642.
  • Dwiwijaya, K. A. (2024). E-Business and Digital Marketing: Integrating Management Information Systems for Competitive Advantage. International Journal of Innovative Research, 2(6), s. 1056-1067.
  • Eppler, M. J. & Mengis, J. (2008). “The Concept of Information Overload-A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004). The Information Society: An International Journal, 20(5), s. 1-20.
  • France, S.L., Vaghefi, M.S. & Kazandjian, B. (2021). Who Owns the Data? A Systematic Review at the Boundary of Information Systems and Marketing. arXiv, preprint arXiv:2107.14019
  • France, S.L., Vaghef, M.S., Kazandjian, B. & Warkentin, M. (2024). Bridging Information Systems and Marketing: Charting Collaborative Pathways. Decision Support Systems, 187, 114328.
  • Gandomi, A. & Haider, M. (2015). Beyond the Hype: Big Data Concepts, Methods and Analytics. International Journal of Information Management, 35(2), s. 137-144.
  • Gözen, H. (2024). Pazarlama Bilişim Sistemleri. Yönetim Bilişim Sistemlerinde Güncel Konular, Eğitim Yayınevi, s. 269-290, ISBN: 978-625-6251-29-8
  • Gangwar, R., Dash, B., Nanda, A. & Ayyub, S. (2024). Impact of Artificial Intelligence (AI) Enabled Management Information System (MIS) in Managerial Decision Making: An Empirical Study of Leading Business Organisation. Journal of Informatics Education and Research, 4(2), s. 1325-1331.
  • Hair, Jr, J. F., Sarstedt, M., Matthews, L. M. & Ringle, C. M. (2016). Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part I–Method. European Business Review, 28(1), s. 63-76.
  • Hair, J. F., Sarstedt, M. & Ringle, C. M. (2019). Rethinking Some of the Rethinking of Partial Least Squares. European Journal of Marketing, 53(4), s. 566-584.
  • Hameed, I. M., Singla, J. & Goel, R. (2024). Management Information Systems and Organizational Agility: A Bibliometric Analysis. Competitiveness Review: An International Business Journal, s. 1-24.
  • Hossain, Q., Yasmin, F., Biswas, T.R. & Asha, N.B. (2024). Integration of Big Data Analytics in Management Information Systems for Business Intelligence. Saudi J Bus Manag Stud, 9(9), s. 192-203.
  • Huang, M. H. & Rust, R. T. (2021). A Strategic Framework for Artificial Intelligence in Marketing. Journal of the academy of Marketing Sscience, 49(1), s. 30-50.
  • Jarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61(4), 577-586.
  • Jordan, M. I. & Mitchell, T. M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science, 349(6245), s. 255-260.
  • Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in Social Media Research: Past, Present and Future. Information Systems Frontiers, 20, s. 531-558.
  • Koufaris, M. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2), s. 205-223.
  • Laudon, K. C. & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm. (16th ed.), Pearson.
  • Liu, C. & Arnett, K. P. (2000). Exploring the Factors Associated with Web Site Success in the Context of Electronic Commerce. Information & Management, 38(1), s. 23-33.
  • Le, H. T. P. M., Nguyen, P. V., Chebbi, H. & Dinh, D. M. (2025). The Evolution of International Marketing Management: AI Applications and Emerging Markets Driving International Selling in the Digital Era. International Marketing Review, s. 1-36.
  • Luca, M. & Zervas, G. (2016). Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud. Management Science, 62(12), s. 3412-3427.
  • Medina-Quintero, J. M., Sahagun, M. A., Alfaro, J. & Ortiz-Rodriguez, F. (Eds.). (2023). Global Perspectives on the Strategic Role of Marketing Information Systems. IGI Global.
  • Nasır, S. (2005). The Development, Change, and Transformation of Management Information Systems (MIS): A Content Analysis of Articles Published in Business and Marketing Journals. International Journal of Information Management, 25(5), s. 442-457.
  • Pappas, I. O. & Woodside, A. G. (2021). Fuzzy-Set Qualitative Comparative Analysis (fsQCA): Guidelines for Research Practice in Information Systems and Marketing. International Journal of Information Management, 58, 102310.
  • Pehlivan, N. N. & Alayvaz Güngör, C. (2024). Vosviewer ile Yerinde Yaşlanma Çalışmalarının Bibliyometrik Analizi: Mevcut Durum ve Eğilimler. Sosyal Politika Çalışmaları Dergisi, 24(65), s. 737-768.
  • Peng, D. X. & Lai, F. (2012). Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research. Journal of Operations Management, 30(6), s. 467-480.
  • Porter, M. E. & Millar, V. E. (1985). How Information Gives You Competitive Advantage. Harvard Business Review, s. 149-152.
  • Salvador, A.B. & Ikeda, A.A. (2014). Big Data Usage in the Marketing Information System. Journal of Data Analysis and Information Processing, 3(2), s. 77-85.
  • Shaheen, H. (2025). Social Media Marketing Research: A Bibliometric Analysis from Scopus. Future Business Journal, 11(41), s. 1-26.
  • Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R. & Carlsson, C. (2002). Past, Present, and Future of Decision Support Technology. Decision Support Systems, 33(2), s. 111-126.
  • Stoykova, S. & Shakev, N. (2023). Artificial Intelligence for Management Information Systems: Opportunities, Challenges, and Future Directions. Algorithms, 16(8), s. 357.
  • Talvinen, J. M. (1995). Information Systems in Marketing Identifying Opportunities for New Applications. European Journal of Marketing, 29(1), s. 8-26.
  • Taş, B. & Şeker, Ş.E. (2017). Nöropazarlama ve Yönetim Bilişim Sistemleri. YBS Ansiklopedi, 4(2), s. 11-17.
  • Trainor, K. J., Rapp, A., Beitelspacher, L. S. & Schillewaert, N. (2011). Integrating Information Technology and Marketing: An Examination of the Drivers and Outcomes of E-Marketing Capability. Industrial Marketing Management, 40(1), s. 162-174.
  • Turhan, G. & Türkoğlu, Y. (2023). Dijital Diplomasi Alanında Yapılan Akademik Çalışmaların Bibliyometrik Analizi. Elektronik Sosyal Bilimler Dergisi, 22(87), s. 910-924.
  • Van Eck, N. & Waltman, L. (2010). Sofware Survey: VOSviewer, A Computer Program for Bibliometric Mapping. Scientometrics, 84(2), s. 523-538.
  • Wei, M. (2010). Construction of Marketing Management Information System of Travel Agency Based on Customer Relationship Management. Advanced Materials Research, 136, s. 69-76.
  • Zengin, B. & Arslan, H. (2017). Pazarlama Bilişim Sistemleri Kullanımının Konaklama İşletmelerine Etkileri: İstanbul’daki 5 Yıldızlı Otel İşletmeleri Üzerine Bir Araştırma. Akademik Sosyal Araştırmalar Dergisi, 5(48), s. 518-532.
  • Zupic, I. & Čater, T. (2015). Bibliometric Methods in Magement and Organization. Organizational Research Methods, 18(3), s. 429-472.
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Hülya Tuğçe Ülger 0000-0002-6406-8659

Gönderilme Tarihi 3 Temmuz 2025
Kabul Tarihi 29 Aralık 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 3

Kaynak Göster

APA Ülger, H. T. (2025). Yönetim Bilişim Sistemleri ve Pazarlama Alanlarının Kesişim Noktaları: Bibliyometrik Bir İnceleme. Ekonomi İşletme ve Maliye Araştırmaları Dergisi, 7(3), 286-301. https://doi.org/10.38009/ekimad.1734428