Toward a Data-Driven Social Intelligence System: Bridging Societal and Organizational Well-being

Francesca Mochi (), Alessandra Lazazzara (), Franca Maino (), Asia Guerreschi (), Alessandro Margherita () and Davide Antonioli ()
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Francesca Mochi: Università degli Studi di Milano
Alessandra Lazazzara: University of Milan
Franca Maino: Università degli Studi di Milano
Asia Guerreschi: Università degli Studi di Ferrara
Alessandro Margherita: Università del Salento
Davide Antonioli: Università degli Studi di Ferrara

A chapter in Technologies for Organizations and Society, 2025, pp 267-287 from Springer

Abstract: Abstract The aim of this research is to systematize existing knowledge on the social sustainability dimension of well-being by identifying and organizing its key constructs and related indicators. Although studies on social and organizational well-being have developed along separate paths, there is a growing interest in bridging these perspectives, particularly in light of recent transformations of work modalities that blur the boundaries between personal and professional life. Furthermore, the Strategic Human Resources Management (SHRM) literature urges consideration of the effects of HRM practices, including those related to organizational well-being, both inside and outside organizational boundaries. Through a systematic review, the research collects and analyzes contributions from both fields to clarify how well-being is defined and measured across different contexts. Particular attention is given to the variety of indicators used, the methodological approaches adopted, and the ways in which organizational practices and policy decisions influence individual and collective well-being. This systematization serves as a foundation for future empirical work, which will be further developed and validated using a citizen science approach in the next phase of the research.

Keywords: Sustainability; Well-being; Systematization (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-032-01697-3_13

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