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This paper explores how learning processes supported by intensive use of design can favour absorptive capacity in open innovation contexts characterised by the interaction of a high number of diverse stakeholders.

The paper combines the insights from theory with the empirical evidence gathered by adopting a case study approach.

Findings provide evidence about the role of design-based learning to facilitate intra- and inter-organisational knowledge flows and to sustain absorptive capacity through processes of recognition, internalisation and adoption.

The study integrates currently distinct research streams focussing on (1) design research, particularly on how design can support knowledge processes and specific learning processes and (2) open innovation, particularly regarding how to enhance absorptive capacity in those contexts in which a high number of diverse stakeholders interact.

This study can help companies, research institutions and other organisations leveraging open innovation to reflect on the potential of design-based learning processes and on how to deliberately facilitate such processes in their projects.

The original contribution provided by this study is to explore open innovation through some analytical categories elaborated in design research concerning materially grounded forms of design-based learning. In particular, the study investigates how design supports knowledge transfer, sharing, translation and creation.

The purpose of the paper is to introduce standardization as a neutral arena for open innovation. The aim is to show that different policies towards open membership in standardization initiatives lead to different open innovation processes.

Two cases are used to illustrate the differences in open innovation processes. The cases are the Android mobile operating system and the service platform developed by the Open Mobile Alliance. The core process types introduced by Gassmann and Enkel are used to show the different open innovation approaches.

Both cases use open innovation to create standards. Open membership leads to a coupled process, while a more restricted membership gives separate inside‐out and outside‐in processes. The case lead by established firms in the industry has a process where radical innovations are introduced early in the process, while the case lead by newcomers has a process where radical innovations are introduced late in the process. The two cases have different approaches towards commercialization of the products. Android relies on third‐party developers, while the Open Mobile Alliance relies on their own members.

The cases are from the telecommunication sector and based on standardization of large technical platforms. The findings might not be the same for other sectors.

The paper establishes open innovation as a neutral arena for open innovation outside the domain of any single firm. It shows how the openness towards membership influences the choice of open innovation processes.

As firms turn their innovation activities toward collaborating with external partners, they face additional challenges in managing their knowledge. While different modes of intellectual property right regimes are applied in closed innovation systems, there seems to be tension between the concepts of “open innovation” and “intellectual property rights”. The purpose of this paper is to investigate how firms best manage knowledge via intellectual property rights in open innovation processes.

Following a mixed methods approach, the authors review relevant literature at the intersection of knowledge management, intellectual property rights, strategic management of intellectual property rights and the open innovation process. The authors identify success drivers through the lenses of – but not limited to – intellectual property rights and classify them in five distinct groups. Expending the view on open innovation beyond its modus operandi, the authors develop the Open Innovation Life Cycle, covering three stages and three levels of the open innovation process. The authors apply their findings to a case study in the pharmaceutical industry.

The authors provide four key contributions. First, existing literature yields inconclusive results concerning the enabling or disabling function of intellectual property rights in open innovation processes, but the majority of scholars detect an ambivalent relation. Second, they identify and classify success drivers of successful knowledge management via intellectual property rights in open innovation processes. Third, they advance literature on open innovation beyond its modus operandi to include three stages and three levels. Fourth, they test their findings to a case study and show how management leverages knowledge by properly using intellectual property rights in open innovation.

The findings support firms in managing knowledge via intellectual property rights in open innovation processes. Management should account for the peculiarities of open innovation preparation and open innovation termination to prevent unintentional knowledge drain.

This is one of the first studies to view open innovation as a process beyond its modus operandi by considering the preparations for and termination of open innovation activities. It also addresses the levels involved in managing knowledge via intellectual property rights in open innovation from individual (personal) to project and firm level.

This paper aims to investigate the role of design as a knowledge translation mechanism in R&D-oriented open innovation. In particular, the paper intends to look at how design can be used as a means of knowledge transfer among various stakeholders who speak different languages and have divergent needs and interests in a process where knowledge openly flew across the boundaries of a high number of organizations.

The paper combines the insights from theory with the empirical evidences gathered by adopting an extreme case study approach: the detailed analysis of a case study related to an R&D project funded by the European Commission and aimed to investigate and produce innovative serious games in the area of healthcare. The project gathered a large number of stakeholders and deliberately adopted design to support an open innovation approach.

The paper provides insights into the use of design outputs such as artifacts, sketches, visual representations or prototypes to translate ideas, theoretical and technical requirements, documents and outputs into formats that can be more easily understood and appreciated by various stakeholders. This supports and favors coordination in open innovation projects where many different stakeholders are engaged in.

Although the adoption of an extreme case study approach offers important implications to understand the role of design in R&D-oriented open innovation, the use of a single case study represents the basis both to explore hypothesis and to provide first evidences that need to be further tested with other qualitative and quantitative analysis.

The paper offers practical implications about how design can help individuals and organizations involved in R&D activities to better communicate and share knowledge among various stakeholders by aligning their different needs, interests and languages along the various phases of their project development.

The originality of the paper lays at the intersection of three different fields: open innovation, knowledge management and design for innovation, thus integrating mature, but so far isolated, research streams. It provides insights for theory building by explaining the use of design as knowledge translational mechanism as well as it informs the practice by highlighting the power of design as a mean to support knowledge flows into open innovation-based R&D projects.

This paper aims to suggest a procedure for successfully transforming a firm’s innovation processes in a systematic way.

This is a conceptual paper, which draws on prior academic and practitioner papers.

Changes in a firm’s environment, such as new technological trends or customer needs, regularly call for the dynamic renewal of a firm’s innovation processes. Nonetheless, most firms proceed in a surprisingly unsystematic way if they transform their innovation processes. This approach contrasts with the systematic innovation processes that many firms have established to manage their product development from initial idea to final market launch.

To overcome this discrepancy, this paper distinguishes reconfiguration and realignment challenges in the transformation of a firm’s innovation processes. These different activities are illustrated with the example of transforming firms’ innovation processes towards open innovation. Furthermore, a five-step procedure is suggested to ease implementation. On this basis, implications for managers are discussed with respect to proficiently adapting their firms’ innovation processes over time.

The purpose of this paper is to examine the influence of an open outside‐in innovation management strategy on companies' innovativeness and innovation performance. Specifically, it focuses on the adoption of the open innovation paradigm in practice and the extent of collaboration with different stakeholders.

The proposed hypotheses are tested empirically using survey data collected from stock‐listed companies in Germany, Switzerland and Austria. The data include the complete responses from 141 R&D managers for the period from 2004 to 2008.

The openness of the outside‐in process in R&D management is of crucial importance for achieving high direct and indirect innovation output effects. In particular, openness towards customers, suppliers and universities has a significant positive impact on the different innovation performance measures. Regarding openness towards cross‐sector companies, the analysis reveals a significant negative effect on innovation performance.

The utilization of cross‐sectional data and its dependency on the perceptions and experiences of the respondents has its limitations. Thus, future research should be based on a more longitudinal design that emphasizes quantitative measurement techniques.

To date, the adoption of open innovation in practice has not been examined in depth. This study provides empirical insights into the open innovation approaches in German‐speaking countries and, by drawing important conclusions for managers involved in the R&D processes, fills a gap in the innovation management literature.

The purpose of this paper is to design a research model and analyze the relationship between open innovation and cleaner production. The paper maps and characterizes the conditions of open innovation against cleaner production in Indonesian batik small and medium enterprise (SME), particularly in Java and Madura. The mapping process is executed by classifying the batik SME into four quadrants. The diagram is a quadrant in which there are four parts to distinguish each of the ability of batik SMEs in understanding and achieving cleaner production through open innovation. This research will obtain a new method or model that can be applied by organizations to achieve cleaner production through an open innovation. The data is obtained from 182 batik SMEs located in Laweyan, Madura and Lasem (in Java Island, Indonesia).

One of the problems in batik SME is the waste management from the dyeing and wax removal process. In the first stages of this research, a number of initial models were elaborated as a reference, then the results of the elaboration became a new research model. The research model that has been produced is then tested using data from respondents. Based on the test results, the model can be stated valid or not. In this study, the model is valid after testing data from 182 respondents, because all outer loading for all indicators is above 0.7. The composite reliability and AVE values of all constructs were above 0.7 and 0.5. Based on the validated research model, the data is statistically processed by using the Structural Equation Modeling (SEM). By using the SEM method and statistical software SMART PLS 3.0this research can be supported to achieve the research objectives.

Based on data testing and processing, open innovation climate could predict a sustained relationship to open innovation with an accuracy rate of 0.466 and influence rate of 0.427, whereas open innovation could predict a sustained relationship to cleaner production with an accuracy rate of 0.183 and influence rate of 0.324. The relationships between open innovation climate and open innovation; including open innovation toward cleaner production, are statistically significant because all prediction values and accuracy in the model have met the criteria for measurement parameters based on the value of R², p value and T-statistics to be stated as a significant relationship.

This research provides an overview of the influence and importance of open innovation in creating an environmentally friendly production process in the context of cleaner production. Cleaner production on batik SMEs can be achieved through open innovation, both for inbound open innovation and outbound open innovation. Open innovation comprehensively provides support for batik SMEs in achieving cleaner production. Open innovation can be run well and optimally if it gets support from a conducive climate open innovation. Furthermore, the implementation of cleaner production could be a guideline for the owner to minimize the waste from batik SME production, both for natural and synthetic dyes. Some limitations in these study include the absence of influence from the existing stakeholders on batik SMEs on the implementation process of open innovation; the use of the cross-sectional approach that results in the unavailability of further analysis regarding the dynamics or improvements that occur in attaining cleaner production through open innovation; and finally providing no analysis of the differences in characteristics at each location of batik SMEs.

The implementation of cleaner production model is considered as one of the new methods and references in conjunction with reducing the negative impact of waste toward the environment, particularly in the traditional textile industry which is limited in waste management capability.

The purpose of this paper is to shed light on how family firms execute open innovation strategies by managing internal and external knowledge flows (KF) to provide a deeper understanding of family firms’ ability to innovate through traditions and create value across generations.

Empirical evidence was collected using an online survey of a sample of 208 Apulian entrepreneurs, who were members of the association of young entrepreneurs of Confindustria in the Apulia region (southern Italy).

The study derives a model that explains the most relevant factors behind the innovation processes developed by young entrepreneurs in family firms: network membership benefits; KF; track record of innovation; and the entrepreneurial attitude of employees.

By integrating insights from different research streams, namely, innovation management, open innovation and family firms, the study provides a novel contribution to the open innovation process in family firms.

The study offers interpretative lenses for entrepreneurs and managers to understand the most suitable knowledge transfer process for encouraging open innovation in family firms, taking into consideration young entrepreneurs’ traditions and interpersonal skills, the KF in local ecosystems and network benefits as the main variables supporting the innovation process.

This study creates a link between open innovation and family firm research by providing an empirically grounded model illustrating how the innovation process is realized in family firms.

The impact of the e-globalization combined with staggering costs for R & D across industries has resulted in the call for new approach to innovation where openness and interconnectivity is the role. This new approach is designated as “open innovation”. The new paradigm calls for the sharing of knowledge and resources in conducting innovation activities within and among organizations. As such, one needs to re-orient the structure of the organization to meet these new requirements. On the conceptual level, it becomes a significant undertake to try to grasp how our traditional understanding of the organization can be fitted within the requirements of the open innovation when the environment of the e-globalization is taken in consideration. The purpose of this paper is to discuss the question of how organization structure theories can be coupled to the open innovation paradigm. Out of that analysis the authors propose a new theoretical framework of organizational analysis that takes both the classical knowledge and the new economic context of e-globalization.

The contemporary period is recognized by the term “new economy”, as a replacement for the “old economy”. Another term of importance is “globalization”, which is coupled to the issue of economy categorization. Humanity launched the modern age of globalization some decades ago, but we are going through a new type of globalization, e-globalization. In the e-globalization, processes are induced basically by the impact of the new tools of communication and information technologies. These dynamic processes have forced a re-thinking of the traditional innovation practices. In the paper, the authors reflect on the changes in relation to the traditional knowledge about organization structure, using a deductive approach and textual analysis and relate that to the requirements of an open innovation paradigm. In the process, the authors introduce the basics of the “theory of internetisation dynamics” as a new potential organizational theoretical framework.

From the analysis, it was found that some traditional concepts about organization structure and organizing mechanism theories are responsive to the needs of the open paradigm settings while other theories are not. However, each of these is able to contribute to one of the five components of the theory of internetisation dynamics.

The authors argue that by using the correct framework for the analysis of the organizational structure, one can propose a set of strategic steps which would help the companies to re-structure. That would save time and effort for policy-makers and managers of firms, as well as researchers active in this field of organization and organizing processes, who are focused on the open innovation transformation requirements of the firms. Running this analysis would add some input into organizational re-orientation in troubled sectors such as in pharmaceutical industries.

Despite the abundance of research in open innovation, few contributions explore it at inter-organizational level, and particularly with a focus on healthcare ecosystem, characterized by a dense network of relationships among public and private organizations (hospitals, companies and universities) as well as other actors that can be labeled as “untraditional” player, i.e. doctors, nurses and patients. The purpose of this paper is to cover this gap and explore how knowledge is transferred and flows among all the healthcare ecosystems’ players in order to support open innovation processes.

The paper is conceptual in nature and adopts a narrative literature review approach. In particular, insights gathered from open innovation literature at the inter-organizational network level, with a particular attention to healthcare ecosystems, and from the knowledge transfer processes, are analyzed in order to propose an interpretative framework for the understanding of knowledge transfer in open innovation with a focus on healthcare ecosystem.

The paper proposes an original interpretative framework for knowledge transfer to support open innovation in healthcare ecosystems, composed of four main components: healthcare ecosystem’s players’ categories; knowledge flows among different categories of players along the exploration and exploitation stages of innovation development; players’ motivations for open innovation; and players’ positions in the innovation process. In addition, assuming the intermediary network as the suitable organizational model for healthcare ecosystem, four classification scenarios are identified on the basis of the main players’ influence degree and motivations for open innovation.

The paper offers interpretative lenses for managers and policy makers in understanding the most suitable organizational models able to encourage open innovation in healthcare ecosystems, taking into consideration the players’ motivation and the knowledge transfer processes on the basis of the innovation results.

The paper introduces a novel framework that fills a gap in the innovation management literature, by pointing out the key role of external not R&D players, like patients, involved in knowledge transfer for open innovation processes in healthcare ecosystems.