Guest editorial: Data-driven orientation and open innovation: the role of resilience in the (co-)development of social changes

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Orlando Troisi, Mara Grimaldi
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引用次数: 5

Abstract

The adoption of an integrated set of smart technologies for data analysis can contribute to facilitating real-time communication, engaging actors in decision-making but and enabling the constant redefinition of the connections between users and technology to improve systems’ well-being and gain, over time, innovation and resilience. [...]the investigation of how new technologies for data analysis can increase citizen’s collaboration and distributed decision making can help private and public managers understand how to challenge social and economic crisis such as COVID-19 pandemic and to pursue continuous growth by developing a resilient attitude that can develop a constant search for improvement and the incessant redefinition of technological ecosystem to address the changing contextual needs. In today’s uncertain context, in which the global crisis remodel economic and social systems and the relationships between them, scientific research should investigate the different kinds of technologies, processes, people (human component, entrepreneurial attitude) and resources (employees’ and citizens’ digital competencies and willingness to use technology) that can act as key enablers for the identification of innovation opportunities, and, thus, the development of a resilient attitude in organizations considered as embedded systems. 2. The investigation of the main resilient features (restructuring, adaptation, transformation) of smart communities can contribute to detect the transition from the emergence of innovation to the development of social changes. [...]the goal of the current Special Issue is to advance new theoretical and empirical contributions that analysze how contemporary resilient data-driven organizations and communities can integrate technologies with human component (Bang et al., 2021) to reframe innovation emergence and foster the attainment of societal transformation. The papers included in this Special Issue can be grouped into two areas: papers dealing with topics related to policy-making, governance and public management of Big data and open data, including citizens engagement and accountability;and papers that adopt a managerial standpoint to understand how Big data can redefine value co-creation, knowledge co-creation and innovation development to attain resilience. 3.1 Big data impact on policy-making, governance and citizenship The first group of contributions investigates the use of technologies and data-driven orientation in public sector and, in particular, in policy-making dynamics (Maione et al., 2022), in community’s perception (Loia et al., 2022) and citizens’ behaviour (Marino and D’Arco, 2022).
嘉宾评论:数据驱动导向和开放式创新:弹性在社会变革(共同)发展中的作用
采用一套集成的智能技术进行数据分析,有助于促进实时通信,使行动者参与决策,并能够不断重新定义用户与技术之间的联系,从而改善系统的健康状况,并随着时间的推移获得创新和复原力。[…对数据分析新技术如何增强公民协作和分布式决策的调查,可以帮助私营和公共管理人员了解如何挑战COVID-19大流行等社会和经济危机,并通过培养一种有弹性的态度来追求持续增长,这种态度可以不断寻求改进,不断重新定义技术生态系统,以应对不断变化的环境需求。在当今不确定的背景下,全球危机重塑了经济和社会系统及其之间的关系,科学研究应该调查不同类型的技术、流程、人(人的组成部分、企业家的态度)和资源(员工和公民的数字能力和使用技术的意愿),它们可以作为识别创新机会的关键推动因素,从而,在被认为是嵌入式系统的组织中弹性态度的发展。2. 对智慧社区的主要弹性特征(重构、适应、转型)的研究有助于发现从创新出现到社会变革发展的过渡。[…本期特刊的目标是推进新的理论和实证贡献,分析当代弹性数据驱动的组织和社区如何将技术与人类成分相结合(Bang etal ., 2021),以重新构建创新出现并促进实现社会转型。本期特刊收录的论文可分为两大类:一类是涉及大数据和开放数据的政策制定、治理和公共管理的论文,包括公民参与和问责;另一类是采用管理观点,了解大数据如何重新定义价值共创、知识共创和创新发展,以实现弹性的论文。第一组贡献调查了公共部门技术和数据驱动导向的使用,特别是在政策制定动态(Maione等人,2022)、社区感知(Loia等人,2022)和公民行为(Marino和D ' arco, 2022)方面。
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来源期刊
Transforming Government- People Process and Policy
Transforming Government- People Process and Policy INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
6.70
自引率
11.50%
发文量
44
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