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

Call for papers for: Transforming Government: People, Process and Policy

Guest Editors: Orlando Troisi and Mara Grimaldi


This special issue of Transforming Government: People, Process and Policy aims to provide a forum for scholars to critically analyse how contemporary resilient data-driven organizations and communities can integrate technologies with human component to reframe innovation emergence and foster the attainment of societal transformation.

The Editors invite high-quality original contributions that address, but are not limited to, the following issues:


Data-driven orientation and open innovation: impact on decision-making

• The impact of data-driven orientation on open innovation organizational models and on their key dimensions (main strategic drivers and tools);

• Implications of data-driven approach on distributed and collaborative decision-making and on the effectiveness of organizational decisions;

• The redefinition of open innovation strategies through data-driven and multi-channel/omni-channel strategies;

• How data-driven orientation in open organizations and communities can enhance the continuous transformation and the adaptation to the complex environment for the attainment of resilience.


Technologies, platforms and tools to reframe smart organizations and communities according to Data-driven orientation

• The categorization of big data tools and analytics for a proper implementation of data-driven orientation in open organizations and communities;

• How the implementation of Open Innovation Digital Platforms (OIDPs) according to data-driven orientation can enable the emergence of innovation;

• Strategic drivers and key dimensions for the enhancement of decisions through cognitive computing and/or decision support systems and/or fuzzy logic;

• Challenges in the adoption of data-driven strategies for IT infrastructure, data collection, data integration and sharing;

• Possible frameworks, drivers and practices for the integration of Big Data lifecycle and value chain (data generation, data acquisition, data storage, and data analysis) into decision-making.


E-Governance and Policy-making: integrating technology and people

• The implications of data-driven orientation on power mechanisms, governance and open/diffused policy-making in smart communities;

• Data-driven voluntary disclosure and ethics of public sector accountability;

• How government can harmonize governance mechanisms through the combination of technology (process), dynamic capabilities and human competencies (people) for the attainment of sustainable growth;

• The impact of digitalization on the effectiveness of policy-making and on the improvement of well-being (from smart mobility, to energy, waste reduction, etc.) and resilience in smart communities;

• The co-development of policies and actions in resilient communities for the exploitation of innovation opportunities;

• The impact of citizens engagement through open government on social changes and societal transformation;

• The adoption of multi-levelled governance in the co-development of social innovation.


Data-based Knowledge management, innovation and social innovation

• Knowledge management, knowledge creation and generation in data-driven organizations and communities based on open innovation;

• The impact of data-driven orientation on knowledge and value co-creation;

• The differences, similarities and potential transition from technology innovation and/or market innovation to data-driven innovation and social innovation;

•The conceptualization of data-driven innovation in smart organizations/communities that adopt open governance and distributed decision-making;

• The role of human (people) in the co-development of technological innovation, process innovation and social innovation;

• The co-development of social innovation in open organizations based on a data-oriented approach;

• Conceptualization of resilience (and of its main enablers) as communities’ ability to develop continuous innovation and transformation to meet societal challenges.


Deadline and submission details

The submission deadline for all papers is 4th June 2021

Acceptance deadline: early December 2021

Publication date: March 2022

Articles should be between 3,000  and 6,000 words in length. This includes all text, for example, the structured abstract, references, all text in tables, and figures and appendices. Please allow 280 words for each figure or table


To submit your research, please visit Scholar One manuscript portal:

To view the author guidelines for this journal, please visit the journal homepage:


Contact the Guest Editors:

Orlando Troisi, University of Salerno, Fisciano, Italy

Email: [email protected]


Mara Grimaldi, University of Salerno, Fisciano, Italy

Email: [email protected]



In the current interconnected world, the availability of large amount of data across organizations’ activities, operations, strategies and decision-making has changed inevitably the configuration of economic, political and social systems. In this scenario, public institutions, for-profit and non-profit companies have the possibility to transform raw data into information and valuable knowledge promptly and to undertake effective decisions thanks to the adoption of a data-based orientation. 

To exploit the opportunities offered from technology, new collaborative and open models are understood strategically according to a network view that considers the relationships with a broad set of stakeholders (from for-profit companies to users, non- profit and public institutions) as critical factors enabling well-being and innovation.

For this reason, Open Innovation (OI) is conceptualized to describe the way in which emergent models of innovation can enable the development of innovative insights thanks to the knowledge exchanged through a complex set of relationships enhanced by smart technologies.

However, the application of technology to organizational processes does not permit to attain innovation automatically: the key role of interactions and collaborations between users and providers, citizens and public institutions emphasizes that the application of human intervention is the only way to employ technology successfully to enable innovation.

Smart organizations based on open innovation models can be reread as smart communities, as technology-mediated networks that through the collaboration between people and the sharing of a set of norms, rules and values can improve well-being in different areas, from economy to environment and social inclusion.

The ability of communities to challenge environmental complexity through their constant evolution can help rereading the concept of resilience as the complex result of system’s adaptation, maintenance, change and disruption. 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.


Context and originality

The reinterpretation of open and multi-levelled organizations as communities aims at exploring the most suitable strategic drivers to foster collaborative innovation thanks to the introduction of a new perspective, which marks the shift from the analysis of innovation strategies to the “way in which” the emergence of change can be (co-)developed and managed through the engagement of multiple stakeholders (from profit to non-profit to institutions).

However, despite the proposition of different frameworks designed to analyze how organizations can create innovation the digital era, there is the need to grasp the way in which the data flows that surround communities’ lives can be optimized. There is the necessity for a clear understanding of how the possibilities offered from ICTs (information and communication technologies), smart technologies, analytics and Internet of Thing (Iot) can be transformed into advantages and innovation opportunities to avoid the risk of turning them into threats.

Therefore, the Editors welcome theoretical and empirical contributions that address the urgent need to detect how new technologies can redefine strategies and operations, decision-making processes, knowledge integration and generation and encourage the emergence of innovation.

Reframing organizations as networks embedded in smart communities can allow the identification of 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.

In this way, according to a collaborative approach, resilient smart communities can develop innovation solutions to address relevant social issues thanks to the constant reshaping of culture and knowledge and to co-learning processes that can address the evolving community needs.

Hence, the proposition of original contributions that explore the different ways to reframe organizational processes and policies thanks to human’s interactions mediated through technology can help the identification of how social, economic and health challenges can be met through continuous transformation.



Therefore, a set of complex, multidisciplinary and interconnected issues arises. What is the disrupting impact of new technologies, Big Data analysis and analytics on the design of collaborative and open models? Is there a link between Big data, enhanced decision-making and innovation? Which are the main implications of a data-driven orientation for governance and policy-making redefinition? How can technology and the human application of technology enable the identification of innovation opportunities? How can the development of resilience in smart communities foster the continuous emergence of innovation and the attainment of social changes?

To address these questions, researchers and practitioners are invited to send conceptual and empirical papers to encourage the growth of these complex and fascinating topics and to propose advancements in theory and practice according to an interdisciplinary approach. Studies on all related fields are welcoming, including information management, economics, management, operation research, design, marketing, social sciences, computer science, organization theory and so on.