Ivelina Ivanova-Kadiri – University of Economics–Varna, Faculty of Management, Marketing Department, Kniaz Boris I Blvd. No 77, 9000, Varna, Bulgaria
Keywords:
Genetic data;
CRM;
CRM-Diamond
Abstract: This paper explores the integration of genetic data into the CRM Diamond model, proposing a new model for CRM-Diamond with the incorporation of customer genetic data. It offers insights into the implications for customer relationship management (CRM), emphasizing enhanced customer segmentation, personalized marketing strategies, and improved engagement. However, this integration presents challenges related to data privacy, ethical considerations, and regulatory compliance. The study examines these challenges and proposes strategies for responsible implementation while ensuring transparency and trust in customer relationships. The proposed integration involves redefining the CRM Vision to prioritize hyper-personalization, adapting core CRM activities to accommodate genetic data, and emphasizing robust data privacy measures. This research aims to inform businesses about the transformative potential of genetic insights in CRM processes and the importance of ethical and compliant practices.

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8th International Scientific Conference – EMAN 2024 – Economics and Management: How to Cope With Disrupted Times, Rome, Italy, March 21, 2024, SELECTED PAPERS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-84-4, ISSN 2683-4510, DOI: https://doi.org/10.31410/EMAN.S.P.2024
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REFERENCES
Avdagić-Golub, E., Kosovac, A., Čolaković, A., & Begović, M. (2022). New trends and approaches in the development of Customer Relationship Management. Lecture Notes in Networks and Systems, 695–703. https://doi.org/10.1007/978-3-031-05230-9_83
Baker, C. (2004). Behavioral genetics: An introduction to how genes and environments interact through development to shape differences in mood, personality, and intelligence. American Association for the Advancement of Science and the Hastings Center.
Ball, C., Huang, K., & Francis, J. (2021). Virtual reality adoption during the COVID-19 pandemic: A uses and Gratifications Perspective. Telematics and Informatics, 65, 101728. https://doi.org/10.1016/j.tele.2021.101728
Boyd, D., & Crawford, K. (2012). Critical questions for Big Data. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118x.2012.678878
Briscoe, F., Ajunwa, I., Gaddis, A., & McCormick, J. (2020). Evolving public views on the value of one’s DNA and expectations for genomic database governance: Results from a national survey. PLOS ONE, 15(3). https://doi.org/10.1371/journal.pone.0229044
Carey, N. (2013). The Epigenetics Revolution: How Modern Biology is rewriting our understanding of genetics, disease, and inheritance. Columbia University Press
Conway, C. C., & Slavich, G. M. (2017). Behavior genetics of prosocial behavior. Compassion, 151-170. https://doi.org/10.4324/9781315564296-9
Dahab, A. A.-A., Haggag, R. M., & Fotouh, S. A.-A. (2023). Enhancing customer relationship management using Fuzzy Association rules and the evolutionary genetic algorithm. International Journal of Advanced Computer Science and Applications, 14(4). https://doi.org/10.14569/ijacsa.2023.0140470
Daviet, R., Nave, G., & Wind, J. (2022). Genetic Data: Potential Uses and Misuses. Journal of Marketing, 86(1), 7–26. https://doi.org/10.1177/0022242920980767
Deliverska, M. (2013). Genetic Discrimination: Essence, Regulation, and Protection. Sofia: Sibi.
Diebold, F. X. (2012). A personal perspective on the origin(s) and development of “big data”: The phenomenon, the term, and the discipline, second version. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2202843
Dodge, M., & Kitchin, R. (2005). Codes of Life: Identification Codes and the Machine-Readable World. Environment and Planning D: Society and Space, 23(6), 851-881. https://doi.org/10.1068/d378t
European Genomic Data Infrastructure (GDI) project. (n.d.). https://gdi.onemilliongenomes.eu/
Fatoki, T. H. (2021). Biomarketing: Understanding brand perception through biological process, and user-friendly materials and platforms. Scientific Bulletin, 26(1), 32-38. https://doi.org/10.2478/bsaft-2021-0004
Garai, G. (2022a). Application of genetic algorithm in numerous scientific fields. Genetic Algorithms. https://doi.org/10.5772/intechopen.105740
Gen, M., & Lin, L. (2023). Genetic Algorithms and Their Applications. Springer Handbooks, 635-674. https://doi.org/10.1007/978-1-4471-7503-2_33
Georgieva, E., & Kehayova, M. (2007). Strategic framework for implementing CRM. Economic Studies, 3/XVI, 94-116
Hoffman, D. L., Moreau, C. P., Stremersch, S., & Wedel, M. (2022). The Rise of New Technologies in Marketing: A Framework and Outlook. Journal of Marketing, 86(1), 1–6. https://doi.org/10.1177/00222429211061636
Ivanova-Kadiri, I. (2023). Customer Genetic Data for Business: Empowering Your Genes For Sustainable Product Development. In: Z. Nedelko, R. Korez Vide (Eds.) Strengthening Resilience By Sustainable Economy And Business – Towards The SDGs. Selected papers from the 7th FEB International Scientific Conference at the University of Maribor. pp. 619- 628 https://doi.org/10.18690/um.epf.3.2023
Ivanova-Kadiri, I. (2023). Genetic Marketing: (R)evolution In Customer Segmentation. In E. Stanimirov, B. Vasileva (Eds.), Remarketing the Reality. Conference Proceedings of the International Scientific Conference Dedicated to the 25th Anniversary of the Marketing Department at the University of Economics – Varna, Bulgaria. (pp. 322-329). Varna: Naouka i ikonomika. ISBN(Print) 978-954-21-1134-4, ISBN(Online) 978-954-21-1134-4.
Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data & Society, 3(1) https://doi.org/10.1177/2053951716631130
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. New Jersey: Wiley.
Kuechle, G. (2019). The Contribution of Behavior Genetics to Entrepreneurship: An Evolutionary Perspective. Journal of Evolutionary Economics, 29, 1263–1284. https://doi.org/10.1007/s00191-019-00634-x
Mack, O., Mayo, M. C., & Khare, A. (2005). A Strategic Approach for Successful CRM: A European Perspective. Problems and Perspectives in Management (2). 98-106. https://www.researchgate.net/publication/265423201_A_Strategic_Approach_for_Successful_CRM_A_European_Perspective
Mayer-Schonberger, V., & Cukier, K. (2013). Big Data: A Revolution that will Change How We Live, Work and Think. London: John Murray.
Meha, A. (2021). Customer Relationship Management. Quality – Access to Success, 22(183), 42- 47. https://www.researchgate.net/profile/Arbresha-Meha/publications
Nasır, S. (2015). Customer Relationship Management Strategies in the Digital Era. IGI Global. https://doi.org/10.4018/978-1-4666-8231-3
O’Doherty, K. C., Shabani, M., Dove, E. S., Bentzen, H. B., Borry, P., Burgess, M. M., Chalmers, D., De Vries, J., Eckstein, L., Fullerton, S. M., Juengst, E., Kato, K., Kaye, J., Knoppers, B. M., Koenig, B. A., Manson, S. M., McGrail, K. M., McGuire, A. L., Meslin, E. M., … Burke, W. (2021). Toward better governance of human genomic data. Nature Genetics, 53(1), 2-8. https://doi.org/10.1038/s41588-020-00742-6
Patel, R., Perret, J. K., & Samunderu, E. (2017). Unbundling CRM – A RFMC Perspective. ISM RJ Heft 1, 1-18
Payne, A. (2006). Handbook of CRM: Achieving excellence through customer management. Amsterdam etc.: Elsevier.
Pine, J., & Gilmore, J. (2013). Handbook on the Experience Economy. Cheltenham, UK: Edward Elgar.
Reali, G., Femminella, M., Nunzi, E., & Valocchi, D. (2018). Genomics as a service: A joint computing and networking perspective. Computer Networks, 145(1), 27-51. https://doi:10.1016/j.comnet.2018.08.005
Sheth, J. N., & Parvatiyar, A. (2000). The evolution of relationship marketing. Handbook of Relationship Marketing, 119–146. https://doi.org/10.4135/9781452231310.n5
Stanimirov, E. (2013). CRM (Management). Science and Economics. University of Economics – Varna.
Stanimirov, E. (2017). Development of customer relationship management practices. In E. Stanimirov, Vasileva, B. (Eds.), Marketing – Experience and Perspectives. Conference proceedings from the International Scientific Conference dedicated to the 20th anniversary of the establishment of the Marketing Department at the University of Economics – Varna. pp. 41-58 Science and Economics.
Steinhoff, L., Palmatier, R. W., Martin, K. D., Fox, G., Henderson, C. M., Clair, J. K. S., Yan, S., Lee, J.-Y., Perko, T., & Harmeling, C. M. (2022). Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services. Journal of Service Management Research, 6(1), 2-27. https://doi.org/10.5771/2511-8676-2022-1-2
Uzunova, Y., Danchev, D., & Vasileva, B. (2010). Marketing leadership, metrics, benchmarking. Library “Tsani Kalyandzhiev”, Book Sixteen. Publishing house “Science and Economics”, University of Economics -Varna.
Vanhala, A., Reijonsaari, K., & PricewaterhouseCoopers Oy. (2013). Direct-to-consumer genome data services and their business models. SITRA [Fact sheet]. https://www.sitra.fi/en/publications/direct-consumer-genome-data-services-and-their-business-models
Xu, Y., Zeng, M., Liu, Q., & Wang, X. (2014). A genetic algorithm based Multilevel Association rules mining for big datasets. Mathematical Problems in Engineering, 1–9. https://doi.org/10.1155/2014/867149
