Big data and big data analytics’ (BDA) importance for business management is growing at an unmatched pace. Such datasets, and the techniques to analyse them, are indeed able to inundate organizations with huge quantities of precious information. Building on this premise, the purpose of this research is to develop a unitary holistic framework on the strategic impact of big data on large organizations. In order to do so, a cognitive map was developed from a coding analysis of 523 job offers on the European labour market coming from 124 large organizations. The results show the effects of big data and BDA on marketing strategies, strategic business intelligence and, finally, operation and supply chain management.

Rialti, R., Faraoni, M., Zollo, L., Pieraccini, I. (2019). Assessing the Impact of Big Data on Large Organizations’ Strategies. SYMPHONYA(2), 133-150 [10.4468/2019.2.12rialti.faraoni.zollo.pieraccini].

Assessing the Impact of Big Data on Large Organizations’ Strategies

Rialti, Riccardo;
2019-01-01

Abstract

Big data and big data analytics’ (BDA) importance for business management is growing at an unmatched pace. Such datasets, and the techniques to analyse them, are indeed able to inundate organizations with huge quantities of precious information. Building on this premise, the purpose of this research is to develop a unitary holistic framework on the strategic impact of big data on large organizations. In order to do so, a cognitive map was developed from a coding analysis of 523 job offers on the European labour market coming from 124 large organizations. The results show the effects of big data and BDA on marketing strategies, strategic business intelligence and, finally, operation and supply chain management.
2019
Rialti, R., Faraoni, M., Zollo, L., Pieraccini, I. (2019). Assessing the Impact of Big Data on Large Organizations’ Strategies. SYMPHONYA(2), 133-150 [10.4468/2019.2.12rialti.faraoni.zollo.pieraccini].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1259444