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Article Dans Une Revue Management & Data Science Année : 2020

Taxonomy for real-time digital data initiatives

Elisabetta Raguseo
Federico Pigni
  • Fonction : Auteur

Résumé

Real-time digital data are becoming important assets in a growing number of organizations. This paper, applying the affordance theory, describes the development of a taxonomy for understanding real-time digital data initiatives. The proposed taxonomy is composed by two categories, the Technology affordance and the Affordance actualization, respectively gathering four and five dimensions. Specifically, the Technology affordances of the real-time digital initiatives are real-time sensing, real-time mass visibility, real-time experimentation and real-time coordination, while the Affordance actualizations are service, efficiency, analytics, aggregation and generation.

Dates et versions

hal-03511357 , version 1 (04-01-2022)

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Claudio Vitari, Elisabetta Raguseo, Federico Pigni. Taxonomy for real-time digital data initiatives. Management & Data Science, 2020, ⟨10.36863/mds.a.9967⟩. ⟨hal-03511357⟩
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