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The Economic Dynamics of Desktop and Mobile Customer Analytics in Advancing Digital Branding Strategies: Insights from the Agri-Food Industry

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  • Nikos Kanellos

    (BICTEVAC Laboratory—Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

  • Marina C. Terzi

    (BICTEVAC Laboratory—Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

  • Nikolaos T. Giannakopoulos

    (BICTEVAC Laboratory—Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

  • Panagiotis Karountzos

    (Department of Regional and Economic Development, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

  • Damianos P. Sakas

    (BICTEVAC Laboratory—Business Information and Communication Technologies in Value Chains Laboratory, Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

Abstract

In the agri-food industry, strategic digital branding and digital marketing are essential for maintaining competitiveness. This study examines the economic dynamics and impact of desktop and mobile customer analytics on digital branding strategies within the sector. Through a comprehensive literature review, this research utilizes empirical evidence to validate hypotheses regarding the influence of desktop and mobile analytics metrics on key digital branding metrics and value creation. This study explores various branding indicators by utilizing descriptive statistics, correlation analyses, regression models, and fuzzy cognitive mapping (FCM). The findings reveal significant correlations between desktop and mobile analytics and digital branding outcomes, underscoring the critical role of digital analytics and Decision Support Systems (DSSs) in shaping modern branding strategies in the agri-food industry. This study highlights the economic implications of desktop and mobile customer analytics on digital branding, providing insights to enhance market performance and foster sustainable growth in the agri-food sector.

Suggested Citation

  • Nikos Kanellos & Marina C. Terzi & Nikolaos T. Giannakopoulos & Panagiotis Karountzos & Damianos P. Sakas, 2024. "The Economic Dynamics of Desktop and Mobile Customer Analytics in Advancing Digital Branding Strategies: Insights from the Agri-Food Industry," Sustainability, MDPI, vol. 16(14), pages 1-28, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:5845-:d:1431618
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    References listed on IDEAS

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    1. Tuti Widiastuti, 2021. "The Commodification of Virtual Community Content in Increasing Media Traffic," Media and Communication, Cogitatio Press, vol. 9(2), pages 98-109.
    2. Georgios Filippou & Athanasios G. Georgiadis & Ashish Kumar Jha, 2024. "Establishing the link: Does web traffic from various marketing channels influence direct traffic source purchases?," Marketing Letters, Springer, vol. 35(1), pages 59-71, March.
    3. Sharif, Amir M. & Irani, Zahir, 2006. "Exploring Fuzzy Cognitive Mapping for IS Evaluation," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1175-1187, September.
    4. Shobhana Chandra & Sanjeev Verma, 2023. "Big Data and Sustainable Consumption: A Review and Research Agenda," Vision, , vol. 27(1), pages 11-23, February.
    5. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
    6. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Chan, Hau-Ling & Bryde, David J., 2022. "The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events," International Journal of Production Economics, Elsevier, vol. 251(C).
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