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The role of absorptive capacity in the use of digital marketing analytics for effective marketing decisions

Author

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  • Marina Proença

    (Universidade Federal do Paraná (UFPR), Federal University of Paraná)

  • Tomas Sparano Martins

    (Universidade Federal do Paraná (UFPR), Federal University of Paraná)

Abstract

According to the literature, companies that use consumer data from digital marketing can have better results than those that do not. However, investments in analytics have gradually declined and most research does not place the use of data in strategic processes. Thus, this paper proposes a model to evaluate the incorporation of external knowledge generated by data, with the organization's internal knowledge, through the insertion of the absorptive capacity as a mediator between the use of digital marketing data and the effectiveness of marketing decision-making. To this end, a survey of 144 Brazilian retail companies was conducted and it was found that there is mediation, but it is partial. The findings suggest some insights into actions that can be taken to improve the use of data by the organization, such as the importance of disseminating marketing data, so that it can be used strategically by decision-makers.

Suggested Citation

  • Marina Proença & Tomas Sparano Martins, 2024. "The role of absorptive capacity in the use of digital marketing analytics for effective marketing decisions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 687-700, September.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:3:d:10.1057_s41270-023-00224-8
    DOI: 10.1057/s41270-023-00224-8
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    References listed on IDEAS

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    1. Wang, Zhiying & Wang, Nianxin & Su, Xiang & Ge, Shilun, 2020. "An empirical study on business analytics affordances enhancing the management of cloud computing data security," International Journal of Information Management, Elsevier, vol. 50(C), pages 387-394.
    2. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    3. Luigi M. De Luca & Dennis Herhausen & Gabriele Troilo & Andrea Rossi, 2021. "How and when do big data investments pay off? The role of marketing affordances and service innovation," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 790-810, July.
    4. Matthew D. Vollrath & Salvador G. Villegas, 2022. "Avoiding digital marketing analytics myopia: revisiting the customer decision journey as a strategic marketing framework," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 106-113, June.
    5. Rajeev Sharma & Sunil Mithas & Atreyi Kankanhalli, 2014. "Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(4), pages 433-441, July.
    6. Rajan Varadarajan, 2015. "Strategic marketing, marketing strategy and market strategy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(3), pages 78-90, December.
    7. Said Elbanna & John Child, 2007. "The Influence of Decision, Environmental and Firm Characteristics on the Rationality of Strategic Decision‐Making," Journal of Management Studies, Wiley Blackwell, vol. 44(4), pages 561-591, June.
    8. Shelby D. Hunt, 2015. "The theoretical foundations of strategic marketing and marketing strategy: foundational premises, R-A theory, three fundamental strategies, and societal welfare," AMS Review, Springer;Academy of Marketing Science, vol. 5(3), pages 61-77, December.
    9. Rajan Varadarajan, 2015. "Strategic marketing, marketing strategy and market strategy," AMS Review, Springer;Academy of Marketing Science, vol. 5(3), pages 78-90, December.
    10. Flatten, Tessa C. & Engelen, Andreas & Zahra, Shaker A. & Brettel, Malte, 2011. "A measure of absorptive capacity: Scale development and validation," European Management Journal, Elsevier, vol. 29(2), pages 98-116, April.
    11. Apriliyanti, Indri Dwi & Alon, Ilan, 2017. "Bibliometric analysis of absorptive capacity," International Business Review, Elsevier, vol. 26(5), pages 896-907.
    12. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    13. Gonchar V. & Kalinin O., 2015. "Marketing aspects of steady growth business strategy," Економічний вісник Донбасу Экономический вестник Донбасса, CyberLeninka;Институт экономики промышленности НАН Украины, issue 4 (42), pages 131-135.
    14. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    15. Shelby Hunt, 2015. "The theoretical foundations of strategic marketing and marketing strategy: foundational premises, R-A theory, three fundamental strategies, and societal welfare," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(3), pages 61-77, December.
    16. Arbussa, Anna & Coenders, Germa, 2007. "Innovation activities, use of appropriation instruments and absorptive capacity: Evidence from Spanish firms," Research Policy, Elsevier, vol. 36(10), pages 1545-1558, December.
    17. Wierenga, Berend, 2011. "Managerial decision making in marketing: The next research frontier," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 89-101.
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