Data is crucial to the economies of the most advanced countries and their innovation processes. The incorporation of Big Data and Predictive Analytics technologies has often been associated with successful decision-making in organizational management, underscoring the significance of a data-driven approach. Data-driven organizations base their decision-making processes on robust data processing, which becomes a strategic asset for improving performance and gaining a competitive advantage. Although algorithmic management offers undeniable advantages in terms of efficient decision-making, its employment requires careful change management within the organization. Its implementation must cover personnel training, compliance with regulations and laws, data privacy, decision transparency and accountability, security and cybersecurity, ethical considerations and potential social, economic, and environmental impacts. This includes, inter alia, minimizing resource usage and the carbon footprint associated with digital systems
Algorithmic Management in Data-driven Organizations: Ethics and Responsibility for Effective Change Management / Zanda, Stefania; Castaldo, Francesca. - (2024), pp. 1508-1512. (Intervento presentato al convegno 17th ANNUAL CONFERENCE OF THE EUROMED ACADEMY OF BUSINESS “Global Business Transformation in a Turbulent Era” September 11th -13th, 2024, Department of Economics and Management of the University of Pisa tenutosi a Pisa, Italy).
Algorithmic Management in Data-driven Organizations: Ethics and Responsibility for Effective Change Management
Zanda, StefaniaPrimo
Writing – Original Draft Preparation
;Castaldo, Francesca
Ultimo
Writing – Review & Editing
2024
Abstract
Data is crucial to the economies of the most advanced countries and their innovation processes. The incorporation of Big Data and Predictive Analytics technologies has often been associated with successful decision-making in organizational management, underscoring the significance of a data-driven approach. Data-driven organizations base their decision-making processes on robust data processing, which becomes a strategic asset for improving performance and gaining a competitive advantage. Although algorithmic management offers undeniable advantages in terms of efficient decision-making, its employment requires careful change management within the organization. Its implementation must cover personnel training, compliance with regulations and laws, data privacy, decision transparency and accountability, security and cybersecurity, ethical considerations and potential social, economic, and environmental impacts. This includes, inter alia, minimizing resource usage and the carbon footprint associated with digital systemsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.