The progress in knowledge offered by Computer Science and Information and Communication Technology (ICT) is changing the world in which we live (Bijker & Law 1994; Rip et al. 1995; Klein et al. 2012; Barile et al. 2015; Del Giudice et al. 2016; Evangelista et al. 2016). As underlined by several researchers and research streams (Danneels 2004, 2006; Kostoff et al. 2004; Latzer 2009; Del Giudice et al. 2012), the technology is ‘disrupting’ traditional market balances and rules by supporting the emergence of a more efficient, effective, and sustainable world. In such a context, the emerging view of world is addressed by an increasing relevance of information and technology in supporting a better understanding of social and economic dynamics (Castells 1997; Bassellier & Blaize Horner Reich 2001; Turban et al. 2008; Di Nauta et al. 2015). As consequence, decision makers are paying more attention to the acquisition and processing of data as a strategic pathway on which act to enlarge the existing knowledge about the emerging rules of the market (Bhatt 2001; Caputo et al. 2016a, 2016b). Reflecting on this trend, some relevant research questions appear with reference to the utility of this increasing attention to data management in solving social and economic dynamics and in better understanding social and economic problems (Michael & Miller 2013; Chen & Zhang 2014). In such a line, different contributions have been offered with reference to the way in which the management of data can change our daily life (Saha & Mukherjee 2003). More specifically, several authors have pointed out the risks and opportunities of so called big data (McAfee et al. 2012; Mayer-Schönberger & Cukier 2013), and the possible future developments of a society strongly based on the information sharing (Beniger 2009; Castells 2011). Despite the increasing attention on these topics, a clear conceptual framework to explain the impact of big data and technologies on our daily life seems to be still missing (Holmes 2005). In order to bridge this gap, the paper focuses on the domain of Smart City as a relevant example of ‘contamination’ among users, suppliers, resources, information, and technologies direct to improve the quality of citizen lives and the effectiveness of citizen management (Nam & Pardo 2011; Jin et al. 2014; Scuotto et al. 2016). In such a context, the paper aims to investigate in which way the Smart City represents an evidence of disruptive technology direct to change the ways in which citizen perceive and interact within the citizen ecosystem (Dickinson et al. 2012; Zygiaris 2013; Caputo et al. 2016c; Polese et al. 2016; Dominici et al., 2017Miei). More specifically, by analysing the Smart City in terms of complex adaptive system (Buckley 1968; Holland 1992), the paper aims to identify in which ways smart technologies and big data impact on the system’s ability to adapt itself to the challenging environment in order to better satisfy markets’ needs and expectations (Barile et al. 2014; Saviano et al. 2016).

How smart technologies and big data affect systems’ lives? Conceptual reflections on the Smart City’ ecosystem

Caputo Francesco
;
2017-01-01

Abstract

The progress in knowledge offered by Computer Science and Information and Communication Technology (ICT) is changing the world in which we live (Bijker & Law 1994; Rip et al. 1995; Klein et al. 2012; Barile et al. 2015; Del Giudice et al. 2016; Evangelista et al. 2016). As underlined by several researchers and research streams (Danneels 2004, 2006; Kostoff et al. 2004; Latzer 2009; Del Giudice et al. 2012), the technology is ‘disrupting’ traditional market balances and rules by supporting the emergence of a more efficient, effective, and sustainable world. In such a context, the emerging view of world is addressed by an increasing relevance of information and technology in supporting a better understanding of social and economic dynamics (Castells 1997; Bassellier & Blaize Horner Reich 2001; Turban et al. 2008; Di Nauta et al. 2015). As consequence, decision makers are paying more attention to the acquisition and processing of data as a strategic pathway on which act to enlarge the existing knowledge about the emerging rules of the market (Bhatt 2001; Caputo et al. 2016a, 2016b). Reflecting on this trend, some relevant research questions appear with reference to the utility of this increasing attention to data management in solving social and economic dynamics and in better understanding social and economic problems (Michael & Miller 2013; Chen & Zhang 2014). In such a line, different contributions have been offered with reference to the way in which the management of data can change our daily life (Saha & Mukherjee 2003). More specifically, several authors have pointed out the risks and opportunities of so called big data (McAfee et al. 2012; Mayer-Schönberger & Cukier 2013), and the possible future developments of a society strongly based on the information sharing (Beniger 2009; Castells 2011). Despite the increasing attention on these topics, a clear conceptual framework to explain the impact of big data and technologies on our daily life seems to be still missing (Holmes 2005). In order to bridge this gap, the paper focuses on the domain of Smart City as a relevant example of ‘contamination’ among users, suppliers, resources, information, and technologies direct to improve the quality of citizen lives and the effectiveness of citizen management (Nam & Pardo 2011; Jin et al. 2014; Scuotto et al. 2016). In such a context, the paper aims to investigate in which way the Smart City represents an evidence of disruptive technology direct to change the ways in which citizen perceive and interact within the citizen ecosystem (Dickinson et al. 2012; Zygiaris 2013; Caputo et al. 2016c; Polese et al. 2016; Dominici et al., 2017Miei). More specifically, by analysing the Smart City in terms of complex adaptive system (Buckley 1968; Holland 1992), the paper aims to identify in which ways smart technologies and big data impact on the system’s ability to adapt itself to the challenging environment in order to better satisfy markets’ needs and expectations (Barile et al. 2014; Saviano et al. 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4707803
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