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The aim of this paper is to investigate the role of boundary management when firms should implement open innovation.

The relevant literature on strategic management, firm boundaries and open innovation fields is revised and critically assessed. An interpretive-qualitative methodology is applied to analyse empirical data obtained from a questionnaire and subsequent interviews of a sample of Italian listed firms. By critically integrating literature review and empirical analysis, a framework is provided with the objective of supporting open innovation implementation.

The study shows that on the one hand, open innovation and many modern paths of growth are connected to a firm's boundaries and that on the other hand, boundary management plays a key role in the implementation of open innovation.

The paper has implications for practitioners by driving them to shift the focus of open innovation implementation towards the management of boundaries, in which boundary capabilities and activities play a key role.

This paper sheds light on the advantages and risks that can jeopardize a successful opening up innovation processes without the effective management of boundary studies. Thus, the authors identify and propose causes for reflection and tools maximizing potentiality and reducing risks in the implementation of such processes.

From the organisational perspective, the authors know that management, including innovation management, becomes less “organised” by bureaucracy and administrative tools, and much more impacted by organisational capabilities, competences and hidden, “soft” routines, bringing innovation and creativity to the core of organisation. The purpose of this paper is to focus on competency sets for open innovation (OI) and is to provide recommendations for OI competency development in companies, linked to the core OI processes.

The research is exploratory and aims at theory-based practical indication combining deductive identification of competency clusters and inductive model development. Thus, the authors apply quantitative methods to data collection and analysis. The authors conducted an extensive literature review on competence challenges with regard to execution of OI, and empirical data analysis based on a large-scale structured industrial survey in Europe (N=264), leading to the development of competency sets for companies. SPSS tools are applied for empirical tests.

The authors develop a generic OI competency model applicable across industries, combined with organisational implications for sustaining OI management capabilities. The research clusters competencies based on the empirical analysis, which addresses the various challenges of OI, leading to recommendations for competency management in an OI context.

The data were collected from one key informant per company. Although the authors made efforts to ensure that this was a senior manager responsible for innovation, the authors cannot exclude some bias in the way that OI activities and related competencies are perceived. Exploratory nature of the research, which calls for a more systematic investigation of the OI activity modes and the OI competencies resulting competency model. In particular, the competencies could be tested on an inter-professional sample of employees with involvement in and/or responsibility for innovation, development, and HR management, as well as on leaders of innovating companies. Third, although significant in size for the analyses undertaken, the sample is not large enough to enable a more fine-tuned analysis of regional differences across Europe in the way that OI is managed through the development and implementation of competencies.

The research contributes to the OI management field with an outlined OI competency profile that can be implemented flexibly and tailored to individual firm’s needs. It brings indications for both further theory building and practice of innovation organisation, especially with regard to human resource development and organisational capability building for OI.

The social implications of the paper result from the contribution to innovation management competency development in OI regimes, which is an important tool for designing contemporary educational programmes, contributes to OI management sophistication in business which is especially important during the economy slowdown and search for new sources of growth and productivity, and supports firms productive engagement in OI ecosystems and collective technology upgrading towards higher societal benefits and stakeholder involvement.

An empirically grounded OI competency model is proposed with an implication to support human resource development for OI. To the best of the authors’ knowledge, there has been no prior attempt to build such a model. The distinguished feature of the research is its extensive European coverage of 35 countries and multinational scope. The empirical validation strategy makes the research extremely relevant for management decisions related to human factors related OI capability development in organisations.

This paper aims to contribute to overcoming the gap existing in the supply chain literature related to digital servitization by bridging digital servitization with knowledge management and identifying the rise of digital knowledge servitization as a driver for changes in the supply chain business model towards open innovation.

The study follows an inductive grounded theory approach for theory building. To analyse the impact of digital knowledge servitization, in-depth interviews of managers in the main business units of the Volvo Group supply chain ecosystem were carried out.

The results show how the digital servitization process affects the supply chain business model, highlighting the central role of knowledge in the service ecosystem and the rise of the theoretical concept of digital knowledge servitization. In particular, through the Innovation Lab (Volvo Group) study, the paper contributes to bringing together the theoretical knowledge-based view of servitization with the digital servitization concept, which demonstrates the role of this combined perspective in the transformation of the supply chain; this is carried out by introducing a new business model based on open innovation in inbound and outbound processes.

The research offers interesting insights from a managerial perspective, as increasingly advanced and complex digital solutions require shorter times in supply chain management (SCM). Companies need to be able to quickly manage information and knowledge flows deriving from internal and external interactions and involvement with external actors upstream and downstream of the supply chain ecosystem. Therefore, the digital knowledge servitization of the supply chain also highlights implications for managers in terms of human resources management.

The novel research goal is to contribute to the supply chain literature by integrating the digital servitization with the knowledge view and analysing the impact on the inbound and outbound supply chain through the introduction of an open innovation business model.

Inspired by new findings on and perceptions of risk governance, such as the necessity of taking a broader perspective in coping with risks in companies and working together in interactive groups with various stakeholders to deal with complex risks in the modern world, the purpose of this paper is looking for new ways to deal with financial risks. Current methods dealing with those risks are confronted with the problems of being primarily based on past data and experience, neglecting the need for objectivity, focusing on the short-term future and disregarding the interconnectedness of different financial risk categories.

A literature review of risk governance, financial risk management and open foresight was executed to conceptualize solutions to the mentioned-above problems.

Collaborative financial risk assessment (CFRA) is a promising approach in financial risk governance with respect to overcoming said problems. It is a method of risk identification and assessment, which combines aspects of “open foresight” and the financial risk management and governance literature. CFRA is characterized as bringing together members of different companies in trying to detect weak signals and trends to gain knowledge about the future, which helps companies to reduce financial risks and increase the chance of gaining economic value. By overcoming organizational boundaries, individual companies may gain the knowledge they would probably not have without CFRA and achieve a competitive advantage.

A conceptual paper like the one at hand wants empirical proof. Therefore, the authors developed a research agenda in the form of five propositions for further research.

This paper discusses the existing problems of financial risk identification and assessment methods. It contributes to the existing literature by proposing CFRA as a solution to those problems and adding a new perspective to financial risk governance.

This study aims to understand the interaction between capabilities inherent in open innovation and dynamic capabilities (sensing, seizing and transforming) as a source of competitive advantage.

Qualitative method and grounded theory were used as guidelines for data collection and analysis.

The study identifies a set of capabilities in the practice of open innovation related to dynamic capabilities, which indicates the importance of developing dynamic capability in the strategic management of internal and external knowledge in the company.

The number of interviewees approached herein do not allow generalizations, but the use of grounded theory through various strategies of data collection in the interviews allowed the triangulation of the data, increasing the credibility, validity and quality of the research.

This study presents capabilities identified in open innovation and their relationship with dynamic capabilities, identifying the importance of the dynamic capability in the strategic management of internal and external knowledge in the company as a source of competitive advantage.

Institutional, economic, social and technological advancements enable openness to cope with wicked public management issues. Although open innovation (OI) is becoming a new normality for public sector entities, scholarly knowledge on this topic is not fully systematized. The article fills this gap, providing a thick and integrative account of OI to inspire public management decisions.

Following the SPAR-4-SLR protocol, a domain-based literature review has been accomplished. Consistently with the study purpose, a hybrid methodology has been designed. Bibliographic coupling permitted us to discover the research streams populating the scientific debate. The core arguments addressed within and across the streams were reported through an interpretive approach.

Starting from an intellectual core of 94 contributions, 5 research streams were spotted. OI in the public sector unfolds through an evolutionary path. Public sector entities conventionally acted as “senior partners” of privately-owned companies, providing funding (yellow cluster) and data (purple cluster) to nurture OI. An advanced perspective envisages OI as a public management model purposefully enacted by public sector entities to co-create value with relevant stakeholders (red cluster). Fitting architectures (green cluster) and mechanisms (blue cluster) should be arranged to release the potential of OI in the public sector.

The role of public sector entities in enacting OI should be revised embracing a value co-creation perspective. Tailored organizational interventions and management decisions are required to make OI a reliable and dependable public value generation model.

The article originally systematizes the scholarly knowledge about OI, presenting it as a new normality for public value generation.

The emergence of Research Management and Administration (RMA) is a result of the pressure on academics to secure research funding from external sources, the increasing competition for these funds, as well as the rising requirements of research funders in terms of reporting and compliance with regulations. This is relevant in the case of the current Horizon Europe Framework Programme for Research and Innovation (HEU) funded by the European Union (EU) which requires important level of professionalisation of the research support staff on behalf of the applicant institutions. Data management, open science, research ethics and integrity, achieving impact beyond academia and the valorisation of project results can be regarded as non-research specific criteria which have to be met by applicant organisations to secure the highly competitive funding. Meeting these non-specific criteria is not always possible in countries whose performance is lagging behind compared to the Western European competitors in EU-funded programmes, such as Hungary.

Our findings reveal two things. First, research support in Hungary is in its early stage of maturity, similary to many countries in Central and Eastern Europe. In several cases, Research Managers and Administrators (RMAs) do not possess the knowledge necessary to meet the non-research specific criteria even if the knowledge is present at the institution or with other colleagues. Second, due to the continuously increasing participation in EU-funded framework programmes (FPs), the state of research support in Hungary is constantly evolving. There is also willingness to learn and improve capacities, which needs strategic planning, studying others’ examples and their adaptability. Such processes can support the capacity building and professionalisation of research offices not only in Hungary, but in countries of the Central and Eastern European region with a similar maturity level of RMA.

The purpose of this paper is to introduce the special issue about generation of public value through smart technologies and strategies. The key argument is that smart technologies have the potential to foster co-creation of public services and the generation of public value in management processes, based on the collaborative, social and horizontal nature of these smart technologies. Understanding these processes from a public management perspective is the purpose of this paper and the rest of the special issue.

The approach to this paper is a theoretical and conceptual review, whereas practical implications both for scholars and practitioners arise from the review of the literature and the conceptual approximation to the notion of smartness in technologies and government. This approach is rooted in the potential of the latest smart technologies and strategies to transform public administrations and to better understand and cope societal problems.

The conceptual and theoretical perspective of this paper offers ideas for future developments. The content of this paper shows that new smart technologies and strategies will shape, and will be shaped by, the future of public organizations and management. This paper illustrates the process of change in public value generation over time, as a result of different public management paradigms (from traditional public administration to new public management), but also different types of technologies (from mainframes to websites and social media and beyond). The empirical evidence of the articles of this special issue supports this conclusion; that open and collaborative innovation processes developed under this emergent technological wave could become encouraging transformative practices in the public sector.

The theoretical and conceptual nature of this paper needs further empirical research to validate some of the discussed assumptions and ideas.

Although this paper is oriented to present the main contents of the special issue, it also provides an original approach to the theme of public value generation using smart technologies and strategies in public sector management.

The purpose of this research is to better understand the human aspects of open innovation in small- and medium-sized enterprises (SMEs) by exploring how intrinsic and extrinsic motivation influence enjoyment in helping others, knowledge sharing and knowledge hiding and consequently firms' open innovation.

We collected data with a survey among CEOs in 140 SMEs and performed confirmatory factor analysis applying structural equation modeling in IBM SPSS AMOS (v. 26).

Results reveal that intrinsic motivation is positively associated with helping behavior and knowledge sharing and negatively associated with knowledge hiding. We also confirm the positive relationship between extrinsic motivation and knowledge sharing. Moreover, we find that knowledge sharing increases and knowledge hiding decreases the firm-level open innovation. Especially in high-tech industry, knowledge sharing is a vital determinant of open innovation.

Responding to the calls for a deeper understanding of the individual-level factors that determine organization-level open innovation, in this research we focus on the human aspect of open innovation in SMEs. Open innovation is a widely recognized and implemented concept among large corporations and facilitates better understanding of new technological and market developments both within and outside of organizations. However, understanding of the microfoundations of open innovation in smaller firms is still limited, but this steam of research is growing rapidly.