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This study aims to examine open innovation that consists a wide range of external knowledge search activities, such external search breadth and depth, external R&D, cooperation and acquisition activities, as a response to different innovation barriers faced by Indonesian firms.

Data are derived from Indonesia innovation survey. Exploratory factor analysis is used to identify and combine innovation barriers variables. Ordered logistic estimation is used to measure the impact of innovation barriers on firm openness decision. Logistic regression is used to measure the impact of innovation barriers on firm openness indicators such as external R&D, cooperation and acquisition as the variables are binary. Finally, Tobit regression is used to measure the impact of firm openness decision on innovation performance.

The main findings indicate that different barriers to innovation lead to different firms’ openness decisions, and different decisions on openness have differentiated influence on innovation performance.

This study contributes to the innovation barrier literature by empirically testing whether experiencing barriers to innovation is associated with a broader external knowledge search activity. Previous studies tend to link innovation barriers with a narrow activity as indicated by external knowledge searching widely and deeply.

This paper aims to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows.

First, through a comprehensive literature review, the paper identifies the barriers to the acquisition and transfer of knowledge in open innovation processes. Second, it presents and discusses the results of an exploratory case study on Loccioni, an Italian family firm providing high-tech measurement solutions, highlighting how this family firm managed to overcome the barriers in executing an open innovation strategy.

The case study shows that Loccioni faced specific challenges in acquiring and transferring knowledge in its open innovation processes and developed two idiosyncratic capabilities – labelled imprinting and fraternization – that helped the firm overcome the barriers to knowledge acquisition and transfer. The analysis shows that these two capabilities are enabled by the distinctive goals and social capital characterizing family firms.

The paper creates a link between open innovation and family business research with an empirically grounded model illustrating how the idiosyncratic capabilities of a family firm help overcome the critical barriers to the acquisition and transfer of knowledge in executing an open innovation strategy.

Open innovation (OI) is now recognized as one essential innovation paradigm to help small and medium enterprises (SMEs) quell their liability of newness and smallness. However, little is known about SMEs’ OI barriers, particularly in emerging economies. Drawing on both network and transaction cost theory, this study aims to explore the barriers to SMEs’ OI adoption in Ghana.

The study adopted an exploratory sequential research design that involved both qualitative and quantitative study methodologies. A total of 644 responses (21 survey interviews and 623 usable questionnaires) across SMEs in Ghana were collected and analyzed in the study. A qualitative analysis involving quotations extracted from the respondent’s statement was used to present the qualitative findings, whereas SEM-partial least square, co-variance approach, was used to analyze the formulated hypotheses.

Results show that significant barriers to SMEs OI adoption are collaboration barriers – difficulty in finding the right partners and problems of cooperation and coordination of operational functions; organizational barriers – lack of flexible internal procedures and structures and organizational inertia; and strategic barriers – opportunistic behavior of partners and lack of strategic and resource fit. Contrary to existing findings, financial and knowledge barriers were disclosed as driving factors, rather than barriers, to SMEs’ OI adoption; these findings challenge conventional thinking about SMEs’ major OI barriers.

This study focuses on only SMEs in one emerging economy, namely, Ghana, which may limit the generalization of the findings.

The findings of this study, while limited to Ghana, offer useful insights to SMEs managers, development practitioners and policymakers respecting the overall importance of the OI model, its associated impediments, as well as the strategic measures to quell those barriers.

This study provides a pioneering empirical investigation into the main barriers to SMEs’ OI adoption in a less-explored emerging market context through a mixed research approach.

This study aims to investigate the risks associated with managing the dispersed knowledge in inter-organizational arrangements for innovation. Specifically, it proposes a model to analyze the knowledge management risks in open innovation, applied in four steps.

Initially, the authors carried out a systematic literature review (SLR) on the concepts that connect knowledge management, inter-organizational arrangements for innovation and risks. The SLR results led to a complementary theoretical review on the conceptual elements in question. Based on the findings, the authors have developed a model to analyze the knowledge management risks in open innovation, which was validated by experts. It was then studied the case of GOL Airlines, a company that uses innovation to overcome the paradox between low-cost and full service in the commercial air transportation industry, considering the application and adjustment of the proposed model.

Open innovation is one of the inter-organizational arrangement types most applied in the context of innovation. Relations between agents are the primary sources of risks when managing the dispersed knowledge in these arrangements. The authors have found five main risks associated, namely, risk of the innovative effort does not reach the expected objective, risk of knowledge transfer being ineffective, risk of misappropriation of value, risk of dependency (lock-in) and risk of relations.

The practical implication is the proposition of a procedure for applying the model to analyze the knowledge management risks in open innovation, which makes it a prescriptive model for identifying risks. The proposed model is described in four steps, namely, to identify the agents in the environment of the value of open innovation; to identify the types of relations of each agent; to consider the barriers to knowledge management in innovation; and to assess the risks considering the possibilities derived from the agents, their relationships and the barriers. The model is applied in the GOL case and the results are presented.

First, it uses a novel approach to investigate open innovation while studying its risks. This approach considers the knowledge is dispersed and flows from one organization to another through a combination of relations inside the environment of value where the open innovation materializes. Second, it contributes to theory development by opening a research front that fuses four areas: risk management, knowledge management, innovation and inter-organizational arrangements. Third, this paper proposes a theoretical model and presents its operationalization. The study aims to make an impact beyond academia and uses a case study to illustrate the model application in a real and interesting open innovation project to support the business model at GOL Airlines.

Although there is a growing body of literature on the benefits of innovation ecosystem participation for keystone/focal firms, there are limited studies on what motivates or impedes other actors’ participation (i.e. suppliers and complementors) in collaborative innovation. Hence, this study aims to address the root causes of collaborative innovation failure and develop a better understanding of the hindering factors for the generation of collaborative innovation performance in ecosystem-based manufacturing.

This study adopted a qualitative research study with 45 managers involving an online survey with open-ended questions followed by an expert focus group with seven managers from a UK-based high value manufacturing ecosystem. Data analysis and coding followed a highly iterative process using a thematic analysis approach.

This study identified six common barriers to collaborative innovation from the perspective of supplier firms. Particularly, this study found unique impeding factors in relation to revealed and deterring barriers in an ecosystem-based manufacturing context. This paper argues that suppliers and small- and medium-sized enterprises not only require financial support but also need to develop a strategic mindset, confidence, effective partnerships and knowledge about risks and returns to participate in collaborative innovation.

The extant literature identifies the motivations for joining innovation ecosystems and the prominence of value co-creation activity from the perspective of focal firms or orchestrators. However, this study offers insights into the need for an effective value co-appropriation setup amongst the ecosystem actors including suppliers. Importantly, this study proposes that effective value co-appropriation is essential for making collaborative innovation happen in manufacturing ecosystems.

This study aims to examine factors influencing potential commercial innovators' intention to innovate with open government data (OGD) via a risk perspective.

The authors develop a theoretical model that explains how different forms of uncertainty (i.e. financial, technology, competitive, demand, and data) and their inter-relationships influence potential commercial innovators' intention to innovate with OGD. The model is tested using survey data collected from 144 potential commercial innovators from a developed Asian country.

The results suggest that all other forms of uncertainty, except competitive uncertainty, negatively influence potential commercial innovators' intention to innovate, mediated by their perceived risk of innovating with OGD. The results also show positive relationships between different forms of uncertainty, i.e. competitive and financial, demand and competitive, data and financial uncertainty.

This paper identifies major forms of innovation uncertainty, perceived risk, their inter-relationships, and impacts on the intention to innovate with OGD. It also finds support for a unique form of uncertainty for OGD innovation (i.e. data uncertainty).

Despite the multiple calls for research on the dark side of open innovation, very few studies have approached the topic so far. This study aims to analyse successful and unsuccessful open innovation projects.

This study uses thematic analysis to describe the factors determining their (un)success. The researchers interviewed 27 managers and owners in the manufacturing sector. Then, the respondents were asked to discuss one successful and one unsuccessful open innovation project to explore the differences in triggers and setbacks, focusing on the causes that determined the failures.

Findings show that many interviewees are reluctant to identify failure cases, which somewhat explains the paucity of studies on the topic, and others do so when the failure is recognised by a third party (such as a public institution not granting funds to the project). This study discussed how this phenomenon is linked with the paradoxical relation between innovation success and failure. It is also found that triggers and setbacks determining the project's (un)success are markedly differently based on the technological intensity of the firm. Implications for scholars and practitioners are also drawn.

This study provides a balanced view between open innovation successes and failures to offer informative recommendations to practitioners. Furthermore, it contributes to filling the scarcity of studies related to risks and failures of open innovation projects. This gap has been addressed by studying the factors that determine the success and unsuccess of an open innovation project.

The purpose of this paper is to present an overview of the current practices in “corporate-startup collaboration” and “Open Innovation” (OI) in Europe. OI has increasingly become mainstream. A growing number of European corporates are adopting OI approaches to innovate and benefit from a more agile business environment. As Henry Chesbrough – the father of OI – finds out, there is “no single best model for engagement”. It highly depends on the goals that companies want to achieve. Models and approaches of corporate-startup collaboration are continuously evolving. A study of the variety of their effective-implementations in a real business context is therefore beneficial.

For the purpose of this research, the authors analyzed the European corporates that are considered as “innovation leaders” according to “SEP Europe’s Corporate Startup Stars” annual ranking. According to experts’ evaluations, these companies represent the most advanced case studies in open innovation. The paper analyses the experience of 31 European large corporates implementing effective corporate-startup collaboration. The research approach is exploratory and descriptive.

By adopting a practitioner-oriented perspective, the authors contribute to shed new light on how European corporates adopt OI and internalize arising innovations across organizational boundaries. Six key areas of OI activities have been identified and compared based on required resources’ commitment. Nearly all of the corporates have implemented low-commitment strategies such as organizing one-off startup events and/or sharing free resources with startups. By contrast, only a limited number of corporates engaged actively through acquisitions (M&A), which requires the highest level of commitment. Startup procurement and investments seem to be the most effective approaches to startup-corporate collaboration, while corporate accelerators and innovation outposts are adopted by only nearly half of the companies considered.

Although the research is not a comprehensive survey, it is useful to identify current and future trends of successful corporate-startup collaboration as well as best practices by European leading companies working at the forefront of OI.

This study provides evidence of the main trends in corporate-startup collaborations, both opening up their innovation processes for mutual benefits. The results have important implications both for corporates and policy makers since the study also highlights the main barriers that hinder successful corporate-startup collaborations. Although many of the analyzed corporates report to have introduced “startup-friendly procedures” – including shortening payments times, simplification of vendor registration and qualification process – the vast majority of companies still need to be educated about the opportunities and benefits arising from Open Innovation (OI). This is particularly true for mid-size companies and small and medium-sized companies that based on some preliminary evidences have not yet fully engaged in open innovation due to limited resources and lack of ability to understand the disruption threats posed by recent technology and market evolution.

To date, there is little evidence on current practices of “Open Innovation” and “corporate-startup collaboration” in Europe. Only recently, large European corporations have concretely started to engage with startups. This paper attempts to shed new light on this so-far under-explored issue.

This paper aims to study the results of open innovation initiatives in Spain under the lockdown during the first stages of the COVID-19 crisis. Based on the most recent literature on open innovation in the public sector, this paper explores the following research questions, namely, what are the key features of collaborative governance processes that guided open innovation initiatives in the Spanish public sector during the COVID-19 crises? How open public innovation cases generated public value to the society during the COVID-19 crises in Spain?

The study is based on two in-depth case studies of open innovation in the public sector: the collaborative platform Frena la Curva and the hackathon Vence al Virus, both launched during the first moments of the COVID-19 crisis. The methodology is based on 13 semi-structured interviews, content observation and documentary analysis. The data were interpreted according to the dimensions described in the analytical framework: descriptive dimensions of both initiatives but also their degree of elaboration, incentives and objectives, characteristics of governance and collaboration between actors and challenges for the accountability processes; and finally, their procedural legitimacy, considering the COVID-19 crisis context.

The results of the study show that citizens have played a key role during the hardest stage of the crisis, collaborating with governments and advancing their innovative capabilities, mostly in the digital sphere. The analysis also identified different outcomes, including the improvement of citizen’s involvement, deliberation practices or network building. Besides, this paper has identified some limitations and barriers to open innovation and collaborative governance processes in terms of accountability and legitimacy of these initiatives. Here, their contribution was constrained by the emerging stage of implementation and by the unique circumstances of the lockdown under the COVID-19 crisis.

Future advancements of open innovation initiatives to consolidate collaborative governance processes will need further exploration. Although this paper diversified the contacts and the data collection in the fieldwork to avoid social biases, the results of the interviews might reflect very positive outcomes. Despite the case studies that took place during the COVID-19 crisis and their planned actions to maintain their existence, the post-crisis analysis will be needed to assess the impact of these open innovation cases in collaborative governance structures.

Open innovation is an emerging narrative and practice in the public sector requiring time and energy from public officials and managers. The study also highlighted the problem of how to legitimate open innovation cases in the public sector and the implications for their institutionalization. Public managers involved in these types of initiatives need to keep the momentum both inside and outside their organizations. Regarding the utilization of information and communications technologies (ICTs), open innovation processes do not need technology to develop their full potential, whereas the COVID-19 crisis and the ongoing digitalization of work settings, accessibility, etc., could transform ICTs into a critical tool for public managers leading innovation initiatives within their organizations.

The social implications of this paper are manifold. This study provides evidence of one of the future avenues of public management: open innovation. New avenues for the involvement and collaboration of citizens with public authorities are another social implication pinpointed by this paper. Democratic legitimacy and procedural accountability are assessed using the open innovation case studies during the COVID-19 crisis. Finally, transforming governments using collaborative platforms deserves social oversight understanding if they really contribute to build trust in political institutions.

Despite their differences, both Frena la Curva and Vence al Virus demonstrated the potential and limitations of public innovation and collaborative governance to cope with an unprecedented crisis such as the COVID-19. The special features of this emergency, including the long period of confinement, posed challenges and also opportunities to develop these initiatives: as several interviewees stated, these projects helped to channel the civic energy to co-produce solutions in collaboration with a wide range of actors. Data allow us to identify the key features of collaborative governance that guided open innovation initiatives in the Spanish public sector during the COVID-19 crisis.

There is a growing trend of open innovation (OI) in small and middle enterprises (SMEs) these days, yet the implementation of OI in SMEs is a challenge because of their financial and resource constraints. This study aims to identify and analyze the past trends, barriers and outcomes and major factors influencing the implementation of OI in SMEs.

This review is based on 40 published articles from the Scopus database. It selects highly cited papers published from 2010 to 2019. The PRISMA statement template is used to explain the overall process of selection and rejections of the relevant articles.

The study contributes in two ways. First, through a comprehensive literature review, the authors highlight the overall development of the concept of OI in the literature over the past 10 years and highlight the findings of the significant studies. Second, the authors provide detailed representations of the OI literature by calculating yearly publications and identifying the SMEs which mostly implement OI practices, journals that publish a relevant article, OI-related publications in different disciplines and geographical locations in which most of the OI studies have been conducted. The study also reveals the most cited articles, journals and authors.

The authors conclude this paper with the argument that although much research has been done in the OI field, still there is a need to establish tools, models and methods that could facilitate SMEs in OI, especially for developing economies.