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Leveraging user behavior and data science technologies for management: An overview

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  • Blasco-Arcas, Lorena
  • Kastanakis, Minas N.
  • Alcañiz, Mariano
  • Reyes-Menendez, Ana

Abstract

This article introduces the special section on leveraging user behavior and data science technologies for management. It reviews 12 articles and discusses their contribution towards establishing a new dynamic paradigm of leveraging user behavior and data science technologies for management. User data has become a promising and relevant area to explore in order to improve decision-making. However, and despite increasing access to this kind of data, several challenges remain related to how to successfully collect, manage and incorporate user data to managerial decisions. In this special issue, we focus on exploring different facets related to impactful data practices in management as well as envisaging future developments related to new sources of user data and methods. Overall, the special issue contributes to deepening the understanding of data usage and management for business through a series of articles that highlight promising further developments in areas such as data collection, data disclosure and privacy, data usage and data analysis methods.

Suggested Citation

  • Blasco-Arcas, Lorena & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2023. "Leveraging user behavior and data science technologies for management: An overview," Journal of Business Research, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:jbrese:v:154:y:2023:i:c:s0148296322007809
    DOI: 10.1016/j.jbusres.2022.113325
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    References listed on IDEAS

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    1. Anna-Sophia Christ & K. Valerie Carl & Christian Kurtz & Lara Lobschat & Benjamin Mueller & Markus P. Zimmer, 2025. "Taking Digital Responsibility for Data: Toward a Governance Model for User-Generated Data," Schmalenbach Journal of Business Research, Springer, vol. 77(3), pages 527-556, September.
    2. Kastanakis, Minas N. & Magrizos, Solon & Belk, Russell W., 2026. "“No pain no Gain”: understanding and applications of pain in marketing scholarship and practice," Journal of Business Research, Elsevier, vol. 203(C).

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