scholarly journals KNOWLEDGE IN OPEN INNOVATION PROCESS ON AN EXAMPLE OF PHARMACEUTICAL INDUSTRY

2017 ◽  
pp. 274-289
Author(s):  
Elżbieta Pohulak-Żołędowska ◽  
Arkadiusz Żabiński ◽  
Michał Sosnowski
Keyword(s):  
Pharmaceutical Industry ◽  
Open Innovation ◽  
Innovation Process

Collaborations for Innovation in the Bio-Pharmaceutical Industry

2012 ◽  
pp. 72-91
Author(s):  
Mattia Bianchi ◽  
Lorenzo Boscherini ◽  
Davide Chiaroni ◽  
Federico Frattini ◽  
Vittorio Chiesa
Keyword(s):  
Pharmaceutical Industry ◽  
Open Innovation ◽  
Innovation Management ◽  
Innovation Process ◽  
Division Of Labour ◽  
Pharmaceutical Innovation ◽  
Success Factor ◽  
Pharmaceutical Firms ◽  
Critical Success

The advent of biotechnology in the late ’80s revolutionized the pharmaceutical industry and, in particular, caused a strong division of labour in the innovation process. As a result, the capability to master technological collaborations with external organizations has become a critical success factor for incumbent pharmaceutical firms as well as product biotech firms. This chapter investigates the phenomenon by using a rich and purposively collected empirical basis about the organisational forms (e.g., partnerships, in- and out-licensing, outsourcing, technology purchasing) through which inter-organizational collaborations are put into practice along the phases of the bio-pharmaceutical innovation process, and about the specific role played in these collaborations by platform biotech firms. Results are interpreted by drawing into two relatively novel streams of research in the innovation management literature, dealing with the Open Innovation paradigm and the role of Technical and Scientific Services (TSS).

Research on Simulation Customers Participate Type in Open Innovation

2014 ◽  
Vol 926-930 ◽  
pp. 2054-2057
Author(s):  
Jun Hui He
Keyword(s):  
Open Innovation ◽  
Degrees Of Freedom ◽  
New Products ◽  
Innovation Process ◽  
Degree Of Freedom ◽  
Three Dimensions ◽  
Dynamic Evolution ◽  
Evolution Simulation ◽  
High Degree

This paper proposed customers to participate typology based on three dimensions, which are the customers’ autonomy in the process, the nature of the firm‐customer collaboration, and the stage of the innovation process. Then proposed customers to participate in the type of open innovation framework. Through the static comparative and dynamic evolution simulation found: customers tend to be open to participate in the development of new products pre innovation, the tendency to begin to choose the low participation of degrees of freedom, and ultimately tend to opt for a high degree of freedom to participate.

Is Co-working Increase Survivability? Study on how Collaborating and Networking Facilitates Open Innovation Process for Startups

2020 ◽  
Vol 7 (2) ◽  
pp. 68-75
Author(s):  
Elissa Dwi Lestari
Keyword(s):  
Open Innovation ◽  
Deep Understanding ◽  
Innovation Process ◽  
Future Research ◽  
Innovation Ecosystem ◽  
Quantitative Studies ◽  
Multiple Case ◽  
Start Ups ◽  
Community Manager

Startups, as they are bounded to their liabilities of newness and smallness, need to collaborate extensively with their external partners through the open innovation process. This study aims to depict Co-working space's pivotal role in building up a working innovation ecosystem that facilitates open innovation for startups. To get a more deep understanding of the phenomena, this study used an exploratory study based on three case studies of Co-working spaces operated in the Jakarta region. The study shows that the open innovation process among startups is not naturally existed, but instead, it is purposefully designed by the role of a community manager who acts as the ecosystem catalyst. The community manager becomes the ecosystem enablers that facilitate the networking process by connecting members. As a result, these activities will help the emerging of mutual connection and collaboration processes among members that empower open innovation among startups members. The multiple-case design makes the study conclusions might be difficult to generalize. Future research, including quantitative studies, will help the conclusions examination and the knowledge enrichment of start-ups' open innovation process. This paper will enrich the knowledge concerning how Co-working spaces member seizing opportunities that lead to the open innovation process.

Understanding the relationship between organizational culture and inbound open innovation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Franz Barjak ◽  
Fabian Heimsch
Keyword(s):  
Corporate Culture ◽  
Open Innovation ◽  
Innovation Process ◽  
External Pressure ◽  
External Control ◽  
Specific Situation ◽  
Content Type ◽  
Process Innovations ◽  
Innovation Activities ◽  
The Relationship

PurposeThe relationship between corporate culture and inbound open innovation (OI) has been limited to two sub-constructs: a culture for openness and an innovation culture, but until now a richer conceptualization of corporate culture is missing.Design/methodology/approachThe authors apply Quinn and Rohrbaugh's (1983) competing values framework and regress these together with company internal and external control variables on five measures of inbound OI, reflecting product innovation, process innovation and the sourcing of innovation activities. The authors use data from a survey of more than 250 Swiss companies, primarily SMEs.FindingsThe importance of the firms' market environments suggests that the results are affected by the specific situation in which the firms found themselves at the time of the survey: after a strong currency shock, inbound OI activities seem to be a reaction to external pressure that favored planning and rule-oriented (formal) cultures to implement cost-cutting process innovations.Practical implicationsCompanies should develop a vision and a strategy, ensure open and transparent communication, have suitable reward and support mechanisms in place, adjust structures and processes, and institutionalize and formalize any change whenever they are confronted with a situation that requires a quick reaction and an adjustment to their degree of openness.Originality/valueThe paper clarifies the relationship between cultural traits and inbound OI, using a well-established understanding of corporate culture and differentiating between innovation types. It points to the importance of the external environment in order to understand the role of culture.

MAPPING THE PERCEPTION AND REALITY OF OPEN INNOVATION

2013 ◽  
Vol 17 (06) ◽  
pp. 1340016 ◽  
Author(s):  
JUSTYNA DĄBROWSKA ◽  
IRINA FIEGENBAUM ◽  
ANTERO KUTVONEN
Keyword(s):  
Open Innovation ◽  
Innovation Management ◽  
Innovation Process ◽  
Innovation Research ◽  
Innovation Activities ◽  
Current State ◽  
Business Practitioners ◽  
The Right ◽  
Innovation Practices ◽  
Innovation Processes

Open innovation holds great potential for improving the efficiency of companies' innovation processes, but also presents substantial risks. A key issue in innovation management is finding the right balance of openness, i.e., determining how open companies should be in their innovation activities. However, academics and business practitioners hold conflicting notions of what constitutes open innovation practice and of how "open innovation companies" are defined. In this paper, we present three in-depth case studies of global R&D-intensive companies, where we find that the firms' perception of their openness differs from their actual situation (as determined by the innovation practices that they apply), and that each company has a different view as to what constitutes open innovation. We claim that resolving conceptual ambiguity and differentiating between openness (as a philosophical aspect) and open innovation (as a way of structuring the innovation process) in research is critical in order to clarify the current state of open innovation research and enable the communication of results to practitioners.

scholarly journals Open Innovation Session as a Tool Supporting Innovativeness in Strategies for High-Tech Companies in the Czech Republic

Economies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 69 ◽  
Author(s):  
Pavla Matulova ◽  
Petra Maresova ◽  
Mohammad Ali Tareq ◽  
Kamil Kuča
Keyword(s):  
Czech Republic ◽  
Open Innovation ◽  
Innovation Process ◽  
Secondary Data ◽  
Primary Objective ◽  
Primary Data ◽  
High Tech ◽  
Regional Government ◽  
The Czech Republic ◽  
General Managers

Open innovation has developed over several decades from a small pool of innovation pioneers, mostly active in high-tech industries, to be widely discussed and implemented in innovation strategy. The primary objective of the Open Innovation Session (OIS) is to create a platform where firms are able to facilitate knowledge transfer. This paper focuses on the contribution of OIS, implemented by regional government, in formulating companies’ strategic management and to overcome barriers to innovation for high-tech companies in the South Moravian region of the Czech Republic. The methodology adopted for this paper includes monitoring and analysing the activities of this programme over seven years, followed by a quantitative study using both primary and secondary data. The primary data for the research were gathered through questionnaires, where the respondents were general managers of companies that had at least some experience of an innovation process. Secondary data were taken from the Czech Statistical Office. This paper has found that the association between an aspiration for innovation leadership and expenditure for research and development is high, further that participation in OIS led to a shift in the perception of the objectives, needs and conditions of the business and finally the major barriers to the innovation process are a lack of highly motivated people with the necessary technical and business experience.

scholarly journals A Critical Review of Open Innovation in SMEs: Implementation, Success Factors and Challenges

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Eristian Wibisono
Keyword(s):  
Developing Countries ◽  
Open Innovation ◽  
Success Factors ◽  
External Environment ◽  
Innovation Process ◽  
Network Access ◽  
Implementation Success ◽  
Technology Entrepreneurship ◽  
Process Stage ◽  
Main Factor

<p><strong><em>Abstract</em></strong></p><p><em>This literature review explores the Open Innovation of SME companies, their application, success factors, impact, and challenges. The theoretical framework is built starting from the definition, a critical pillar, and Open Innovation in SME companies. The main factor in the Open Innovation process stage is finding innovative ideas and establishing network access with the external environment. Balanced, systematic, and thorough collaboration is the key to this process. Although European scholars have done it quite a lot, the study of literature on Open Innovation in SMEs still could continue to be developed. Several research results were found in studies conducted in developing countries such as China, Taiwan, and Korea, distinguishing them from similar studies in Europe.</em></p><p><strong><em>Keywords:</em></strong><em> <em>innovation; SMEs; technology; entrepreneurship; open innovation</em></em></p>

scholarly journals Semi open Innovation: an Approach to the Innovation Typology

2018 ◽  
Vol 10 (1) ◽  
pp. 55-81
Author(s):  
Andréia De Fátima Ribeiro Rocha ◽  
Isabel Cristina dos Santos ◽  
Almir Martins Vieira
Keyword(s):  
Open Innovation ◽  
Design Methodology ◽  
Innovation Process ◽  
Technological Education ◽  
Local Conditions ◽  
Innovation Model ◽  
New Perspective ◽  
National Reputation ◽  
Innovation Mode ◽  
Technology Institute

Purpose: This study aims to contribute to the Innovation Models debate from a new perspective on the innovation process, more frequently discussed in a range from closed to open innovation model. Coming into to the discussion in the recent years, called semi open innovation, this modality of innovation has been referenced as one that uses external knowledge, however considers that this knowledge is not a crucial element for the development of innovation. In this present study, semi-open innovation is characterized when the innovation process meets specific conditions of particular set of technologies and companies bounded by the local conditions. Design/Methodology/Approach: it refers to a qualitative study, supported by case studies. Findings: It was observed that the existence of a local Scientific and Technology Institute is a reason to define the location to produce, but did not find evidences of a large use of STI resources or with other local researchers for a product development. We could not clearly identify real open innovation model in practice. However, the proximity of a technological education and University of great national reputation, in addition to providing skilled labour, becomes a source of knowledge that should be used more frequently. Conclusions pointed out that there is a restricted support given by STI. The cases show that two firms practice an open innovation mode. In one case we conclude it refers to semi-open innovation practice.

scholarly journals Prediction Markets for Crowdsourcing

2018 ◽  
Author(s):  
Christian Horn ◽  
Marcel Bogers ◽  
Alexander Brem*
Keyword(s):  
Stock Market ◽  
Open Innovation ◽  
Innovation Process ◽  
Business Practice ◽  
Prediction Markets ◽  
Knowledge Sources ◽  
Prediction Market ◽  
Online Platform ◽  
External Knowledge ◽  
Opening Up

Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. The act of opening up to external knowledge sources is also in line with the growing interest in open innovation. One example of a prediction market, a virtual stock market, is applied to open innovation through an online platform. We show that use of mechanisms of internal crowdsourcing with prediction markets can outperform use of external crowds.

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