With the goal of all businesses, including those in the
dairy industry, to climb their website rank in the world web, it is particularly
important to implement well-planned promotions and actions in the appropriate communication
channels. These channels are now being used as business tools, and therefore, planning,
monitoring, and constant updating of the corresponding strategy. This paper examines
the effect of big data, collected from the websites of 5 well-known dairy firms,
based on their financial and ESG results, by performing statistical analysis (correlation) and Fuzzy Cognitive Mapping (FCM) scenarios, on the global ranking of these dairy businesses. Throughout this study,
it is discerned that a significant number of dairy firms’ website data, such as
social traffic, unique visitors, backlinks, referring domains, referral traffic,
paid traffic, direct traffic, search traffic, organic keywords, organic traffic,
mobile traffic, and desktop traffic, should be utilized by their marketers and receive
further improvement, through investment, due to their ability to enhance the ranking
of dairy firms’ website in search engine results.
References
[1]
Afrina, Y., Sadia, T., & Kaniz, F. (2015). Effectiveness of Digital Marketing in the Challenging Age: An Empirical Study. International Journal of Management Science and Business Administration, 1, 69-80.
https://doi.org/10.18775/ijmsba.1849-5664-5419.2014.15.1006
[2]
Athanasoula, I., Apostolopoulos, I. D., & Groumpos, P. P. (2022). Intelligent Modeling for the Food Chain Using Fuzzy Cognitive Maps. In UBT International Conference (No. 291). Elsevier.
[3]
Avgeris, L., & Groumpos, P. P. (2022). Modelling Zero Energy Buildings Using Fuzzy Cognitive Maps. In UBT International Conference (No. 281). Elsevier
[4]
Bhat, R., Di Pasquale, J., Bánkuti, F. I., Siqueira, T. T. d. S., Shine, P., & Murphy, M. D. (2022). Global Dairy Sector: Trends, Prospects, and Challenges. Sustainability, 14, Article 4193. https://doi.org/10.3390/su14074193
[5]
Chaffey, D., & Patron, M. (2012). From Web Analytics to Digital Marketing Optimization: Increasing the Commercial Value of Digital Analytics. Journal of Direct, Data and Digital Marketing Practice, 14, 30-45. https://doi.org/10.1057/dddmp.2012.20
[6]
Coleman, S., G?b, R., Manco, G., Pievatolo, A., Tort-Martorell, X., & Reis, M. S. (2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Quality and Reliability Engineering International, 32, 2151-2164. https://doi.org/10.1002/qre.2008
[7]
Dachyar, M., & Christy, E. (2014). Designing Process Improvement of Finished Good on Time Release and Performance Indicator Tool in Milk Industry Using Business Process Reengineering Method. Journal of Physics: Conference Series, 495, Article 012011.
https://doi.org/10.1088/1742-6596/495/1/012011
[8]
Dsouza, A., & Panakaje, N. (2023). A Study on the Evolution of Digital Marketing. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 7, 95-106.
https://doi.org/10.47992/IJCSBE.2581.6942.0248
[9]
FAO (2022). Dairy Market Review: Emerging Trends and Outlook 2022.
https://www.fao.org/markets-and-trade/publications/detail/en/c/1624655/
[10]
Felix, R., Rauschnabel, P. A. & Hinsch, C. (2017). Elements of Strategic Social Media Marketing: A Holistic Framework. Journal of Business Research, 70, 118-126.
https://doi.org/10.1016/j.jbusres.2016.05.001
[11]
Giakomidou, D. S., Kriemadis, A., Nasiopoulos, D. K., & Mastrakoulis, D. (2022). Re-Engineering of Marketing for SMEs in Energy Market through Modeling Customers’ Strategic Behavior. Energies, 15, Article 8179. https://doi.org/10.3390/en15218179
[12]
Giannakopoulos, N. T., Sakas, D. P., Kanellos, N., & Christopoulos, C. (2023). Web Analytics and Supply Chain Transportation Firms’ Financial Performance. National Accounting Review, 5, 405-420. https://doi.org/10.3934/NAR.2023023
[13]
Groumpos, P. P., & Apostolopoulos, I. D. (2021). Modeling the Spread of Dangerous Pandemics with the Utilization of a Hybrid-Statistical-Advanced-Fuzzy-Cognitive-Map Algorithm: The Example of COVID-19. Research on Biomedical Engineering, 37, 749-764. https://doi.org/10.1007/s42600-021-00182-z
[14]
Guce, D., Gujirati, R., & Uygun, H. (2020). Global Trends in Digital Marketing. Amity Journal of Computational Sciences (AJCS), 4, 5-6.
[15]
Hadzhiev, B. I. (2010). Re-Engineering Marketing (RM). Pecvnia: Revista de la Facultad de Ciencias Económicas y Empresariales, Universidad de León, No. 2010, 45-51.
https://doi.org/10.18002/pec.v0i2010.763
[16]
Hair, J., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research. European Business Review, 26, 106-121.
https://doi.org/10.1108/EBR-10-2013-0128
[17]
Hassoun, A., Marvin, H. J. P., Bouzembrak, Y., Barba, F. J., Castagnini, J. M., Pallarés, N., Rabail, R., Aadil, R. M., Bangar, S. P., Bhat, R., Cropotova, J., Maqsood, S., & Regenstein, J. M. (2023). Digital Transformation in the Agri-Food Industry: Recent Applications and the Role of the COVID-19 Pandemic. Frontiers in Sustainable Food Systems, 7, Article 1217813. https://doi.org/10.3389/fsufs.2023.1217813
[18]
Iqbal, M., Kazmi, S. H. A., Manzoor, A., Soomrani, A. R., Butt, S. H., & Shaikh, K. A. (2018). A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges. In 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-7). IEEE.
https://doi.org/10.1109/ICOMET.2018.8346368
[19]
Jayakumar, A., & Ranjitha, P. (2018). Various Innovations in Digital Marketing and Its Issues. Bodhi International Journal of Research in Humanities, Arts and Science, 2, 121-124.
[20]
Jung, S.-U., & Shegai, V. (2023). The Impact of Digital Marketing Innovation on Firm Performance: Mediation by Marketing Capability and Moderation by Firm Size. Sustainability, 15, Article 5711. https://doi.org/10.3390/su15075711
[21]
Kontogiorgou, F., Sakas, D., Giannakopoulos, N., Kanellos, N., & Christopoulos, C. (2023). Utilization of DSS to the Promotion and Conclusion of Charters in the Shipping and Supply Chain Context. Modern Economy, 14, 1142-1163.
https://doi.org/10.4236/me.2023.149059
[22]
Kotane, I., Znotina, D., & Hushko, S. (2019). Assessment of Trends in the Application of Digital Marketing. Periodyk Naukowy Akademii Polonunej, 33, 30-32.
https://doi.org/10.23856/3303
[23]
Krimpas, G. A., Krimpas, N. A., & Groumpos, P. P. (2023). An Overview of Making Decisions on Medical Problems Using Fuzzy Cognitive Maps. In 14th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-6). IEEE.
https://doi.org/10.1109/IISA59645.2023.10345851
[24]
Martínez-Peláez, R., Ochoa-Brust, A., Rivera, S., Félix, V. G., Ostos, R., Brito, H., Félix, R. A., & Mena, L. J. (2023). Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology. Sustainability, 15, Article 11221. https://doi.org/10.3390/su151411221
Migkos, S. P., Sakas, D. P., Giannakopoulos, N. T., Konteos, G., & Metsiou, A. (2022). Analyzing Greece 2010 Memorandum’s Impact on Macroeconomic and Financial Figures through FCM. Economies, 10, Article 178.
https://doi.org/10.3390/economies10080178
[27]
Mohapatra, S. K., & Mohanty, M. N. (2020). Big Data Analysis and Classification of Biomedical Signal Using Random Forest Algorithm. In S. Patnaik, A. Ip, M. Tavana, & V. Jain (Eds.), New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing (pp. 217-224). Springer.
https://doi.org/10.1007/978-981-13-9330-3_20
Papageorgiou, E. I., & Salmeron, J. L. (2012). A Review of Fuzzy Cognitive Maps Research during the Last Decade. IEEE Transactions on Fuzzy Systems, 21, 66-79.
https://doi.org/10.1109/TFUZZ.2012.2201727
[30]
Papagiannis, N. (2020). Effective SEO and Content Marketing: The Ultimate Guide for Maximizing Free Web Traffic. John Wiley & Sons.
[31]
Pearson, K. (1895). Notes on Regression and Inheritance in the Case of Two Parents. Proceedings of the Royal Society of London, 58, 240-242.
https://doi.org/10.1098/rspl.1895.0041
[32]
Porter, M. (2001). Strategy and the Internet. Harvard Business Review, 62-78.
https://hbr.org/2001/03/strategy-and-the-internet
[33]
Sakas, D. P., Giannakopoulos, N. T., Kanellos, N., Christopoulos, C., & Toudas, K. S. (2023b). Determining Factors for Supply Chain Services Provider Selection and Long-Term Relationship Maintenance: Evidence from Greece. Logistics, 7, Article 73.
https://doi.org/10.3390/logistics7040073
[34]
Sakas, D. P., Giannakopoulos, N. T., Panagiotou, A. G., Kanellos, N., & Christopoulos, C. (2023c). Search Engine Results Optimization for Supply Chain SMEs through Digital Content Management and Fuzzy Cognitive Models. Journal of Computational and Cognitive Engineering, 1-12. https://doi.org/10.47852/bonviewJCCE32021763
[35]
Sakas, D. P., Giannakopoulos, N. T., Terzi, M. C., & Kanellos, N. (2023a). Engineering Supply Chain Transportation Indexes through Big Data Analytics and Deep Learning. Applied Sciences, 13, Article 9983. https://doi.org/10.3390/app13179983
[36]
Saura, J. R., Palos-Sanchez, P., & Suarez, L. M. (2017). Understanding the Digital Marketing Environment with KPIs and Web Analytics. Future Internet, 9, Article 76.
https://doi.org/10.3390/fi9040076
[37]
Semrush (2024). https://www.semrush.com
[38]
Shahbandeh, M. (2023). Global Dairy Industry—Statistics & Facts. Statista Consumer Goods & FMCG, Food & Nutrition.
https://www.statista.com/topics/4649/dairy-industry/#topicoverview
[39]
SimilarWeb (2024). https://www.similarweb.com
[40]
Talwar, R. (1993). Business Re-Engineering—A Strategy-Driven Approach. Long Range Planning, 26, 22-40. https://doi.org/10.1016/0024-6301(93)90204-S
[41]
Veleva, S. S., & Tsvetanova, A. I. (2020). Characteristics of the Digital Marketing Advantages and Disadvantages. IOP Conference Series: Materials Science and Engineering, 940, Article 012065. https://doi.org/10.1088/1757-899X/940/1/012065
[42]
We are Social (2023). Digital 2023 Global Overview Report.
https://indd.adobe.com/view/15280b35-8827-433f-9e5a-07f1ec8c23f2?allowFullscreen=true&wmode=opaque
[43]
Web Analytics Association (2008). Web Analytics Definitions.
https://www.slideshare.net/leonaressi/waa-web-analytics-definitions