Co-operation and co-opetition as open innovation practices in the service sector: Which influence on innovation novelty?
Introduction
This paper explores the networked nature of the innovation process and its effect on novelty of innovations in the service industry.
As innovation is now widely acknowledged as one of the main drivers of economic growth, there has been an increasing interest in studying the innovation process. These studies have challenged the traditional linear model of innovation and have put forward the non-linear, dynamic and interactive nature of the innovation process (Kline and Rosenberg, 1986, Von Hippel, 1988). Innovation is therefore seen as the outcome of an interactive process between the firm and its environment, as the result of the collaboration between a wide variety of actors, located both inside and outside the firm. Co-operation is considered as an innovation stimulus and is expected to bring benefits such as achieving economies of scale and of scope, reducing uncertainty, gaining access to new markets or accessing complementary knowledge (Becker and Peters, 1998, Hagedoorn, 1993, Miotti and Sachwald, 2003). Co-operation for traditional R&D activities and its effect on both innovation input and output has been largely investigated, mainly in the manufacturing sector (Tether, 2002, Barge-Gil, 2010). Beyond formal co-operation, information from internal and external parties also plays a critical role in knowledge transfer and consequently influences the firm’s capacity to innovate (Linton, 2000).
As reported by EUROSTAT (2008), 26% of innovative firms were engaged in co-operation with other enterprises, universities, public research institutes, suppliers, customers and competitors in the EU-27. In the Member States, the most common co-operation partners were suppliers followed by customers (respectively, 17% and 14% of innovative firms), while the least common co-operation occurred with universities and research institutions (9%). The use of information sources in the EU-27 also varies significantly, depending on the type of source considered. In most surveyed countries, more than 40% of innovative firms declared using information available from inside the firm or its group. Although discrepancies across countries can be noticed, this indicates that the remaining 60% of firms declared not relying on this information source for their innovation activities. Whereas 25% of innovative firms obtained information from suppliers and customers, less than 10% of firms had recourse to information from competitors, universities and research institutions.
Although the overall co-operation level for innovation activities is similar in the manufacturing and service sectors, significant discrepancies can be observed in the choice of the co-operation agreements and information sourcing among these sectors. Co-operation within the group or with competitors occurs more frequently in service firms than in the manufacturing industry, while the opposite is observed for co-operation with universities and information obtained from scientific sources. This observation leads to the assumption that co-operation practices and information sourcing may slightly differ across sectors.
The service sector now accounts for more than 70% of value added in OECD countries. Prior research (Cainelli et al., 2006, Evangelista, 2006) indicates that the service sector does innovate, though to different forms and extents than the manufacturing industry. Despite its prominent role in our economies, the co-operation practices of firms belonging to the service sector, as well as their use of various information sources remain under-investigated (Tether and Tajar, 2008). Altogether, these facts and figures demonstrate the relevance of understanding the co-operation practices and use of information sources for innovation activities.
The contribution of this empirical research is twofold. Firstly, it aims to investigate the nature of co-operation practices and use of information sources in the service sector, taking into consideration its specificities. Secondly, it explores simultaneously the influence of different co-operation practices and the use of information sources coming from various origins on the propensity of firms to introduce new to the market innovations. In order terms, it examines if the novelty of the innovation introduced by service sector firms is stimulated by the nature of co-operation and type of information source exploited. The empirical investigation is conducted using the fourth Community Innovation Survey (CIS) data.
The remainder of this paper is organized as follows: Section 2 will provide an overview of the relevant literature and will develop the hypotheses. In Section 3, the dataset employed and methodology will be explained. Section 4 will introduce the results. Section 5 will provide a discussion of the results. Section 6 is devoted to implications and limitations of this study as well as perspectives for further research.
Section snippets
Conceptual framework
The Schumpeterian mode (Schumpeter, 1942) of the individual entrepreneur, which considers separately the three stages of invention (i.e. research leading to the generation of new ideas), innovation that consists of the development of these new ideas into marketable products and finally, the diffusion process across the market, has been superseded by new models highlighting the interactive character of the innovation process. In these models, different actors are collaborating together to turn a
Sample and questionnaire
The dataset used in this study comes from the fourth Community Innovation Survey (CIS4), which is the main statistical instrument of the European Union developed for the monitoring of Europe’s progress in the area of innovation. CIS is a subject-oriented survey as it addresses firms directly on their innovation activities, and firms represent the unit of analysis.
Although CIS originally addressed the manufacturing sector and relied on a definition of innovation that was technology-focused,
Results
As a previous step to testing the hypotheses, we provide some descriptive statistics relating the practices of firms in terms of co-operation and exploitation of information sources.
Discussion
In this study we investigate the simultaneous influence of co-operation practices and the use of information sources on the degree of innovation novelty in service sector firms. In order to explore this influence, four sets of hypotheses are formulated on the influence of market-, science-, competition-based and intra-group co-operation and related information sources on innovation novelty. Our findings confirm H1b, Hypothesis 2a, Hypothesis 4b and reject 3b. The other hypothesized
Conclusions
This study focused on the effect of co-operation and knowledge sourcing practices of service-sector firms on the degree of innovation novelty. Co-operation agreements have been investigated with four different types of partners. A similar approach has been adopted for knowledge sourcing, which is considered as a weaker or indirect form of co-operation. In the former case, firms have to engage actively in innovation activities with others while in the latter, they only benefit from the knowledge
Acknowledgements
This work has been conducted in the framework of a joint research project between the Public Research Centre Henri Tudor, Ministry of Economy and Foreign Trade through the Competitiveness Observatory and Statec (Service central de la statistique et des études économiques) focused on studies on innovation economics and management in services. A prior version of this paper has been presented at the ISPIM 2008 Conference. The original version of the paper benefitted from the contribution of a
References (72)
- et al.
Together we share? Competitive and collaborative supplier interests in product development
Technovation
(2009) - et al.
The choice of partners in R&D cooperation: an empirical analysis of Spanish firms
Technovation
(2008) Cooperation-based innovators and peripheral cooperators: an empirical analysis of their characteristics and behavior
Technovation
(2010)- et al.
R&D cooperation and innovation activities of firms—evidence for the German manufacturing industry
Research Policy
(2004) - et al.
Co-operative R&D and firm performance
R&D Policy
(2004) - et al.
R&D sourcing strategies: determinants and consequences
Technovation
(2009) - et al.
Science–industry interaction in the process of innovation: the importance of boundary-crossing between systems
Research Policy
(2001) - et al.
Network embeddedness and technology transfer performance in R&D consortia in Taiwan
Technovation
(2009) - et al.
Knowledge capital and performance heterogeneity: a firm-level innovation study
International Journal of Production Economics
(2002) - et al.
Co-operative R&D: why and with whom? An integrated framework for analysis
Research Policy
(2003)
Assessing spillovers from universities to firms: evidence from French firm-level data
International Journal of Industrial Organization
Optimal cognitive distance and absorptive capacity
Research Policy
What’s in it for me? Creating and appropriating value in innovation-related coopetition
Technovation
Who co-operates for innovation, and why. An empirical analysis
Research Policy
Beyond industry–university links: sourcing knowledge for innovation from consultants, private research organisations and the public-science base
Research Policy
The organisational-cooperation mode of innovation and its prominence amongst European service firms
Research Policy
R&D co-operation between firms and universities: some empirical evidence from Belgian manufacturing
International Journal of Industrial Organization
The dominant role of the user in scientific instrument innovation process
Research Policy
Cooperation between rivals: informal know-how trading
Research Policy
Fusing indigenous technology development and market learning for greater functionality development—an empirical analysis of the growth trajectory of Canon printers
Technovation
Relationship between cooperation networks and innovation performance of SMEs
Technovation
How much do your ‘co-opetitors’ capabilities matter in the face of technological change?
Strategic Management Journal
Categorical Data Analysis
Firms resources and sustained competitive advantage
Journal of Management
R&D competition between vertical corporate networks: structure, efficiency and R&D spillovers
Economics of Innovation and New Technology
Co-opetition
Innovation and economic performance in services: a firm level analysis
Cambridge Journal of Economics
In search of complementarity in innovation strategy: internal R&D and external knowledge acquisition
Management Science
The era of open innovation
Sloan Management Review Summer
Open Innovation: The New Imperative for Creating and Profiting from Technology
Open Innovation: Researching a New Paradigm
Productivity growth, R&D and the role of international collaborative agreements: some evidence from the manufacturing companies
Brussels Economic Review
Innovation and learning: the two faces of R&D
Economic Journal
Modelling Binary Data
The Analysis of Binary Data
Cited by (297)
Coping with the heterogeneity of external knowledge sources: Corresponding openness strategies and innovation performance
2023, Journal of Innovation and KnowledgeUnpacking the sustainable performance in the business ecosystem: Coopetition strategy, open innovation, and digitalization capability
2023, Journal of Cleaner Production