XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. THE FIRST DECADE OF PUBLICATIONS ON OPEN INNOVATION: A BIBLIOMETRIC ANALYSIS Giseli Valentim Rocha (UNIFEI) [email protected] Barbara Elizabeth Pereira Sotomonte (UNIFEI) [email protected] Jose da Silva Ferreira Junior (UNIFEI) [email protected] Carlos Henrique Pereira Mello (UNIFEI) [email protected] The term open innovation is relatively new in science, but has had a large increase in research since its inception. This research aims to address this growth, focusing on an analysis of articles developed in the last decade on this topic and give general information on the same. The method used for it was the bibliometric research with compiling data in specific software, getting to the end of the study, the results of the most cited authors and the research lines with a greater focus on this issue. Palavras-chave: Open Innovation; Bibliometric Analysis; Research Areas XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. 1. Introduction Companies always developed technologies and applied them in their own products; they had closed innovation strategies that did not allow interaction with their environment. However, these strategies began to change in the 1980s when companies from various sectors began to seek external expertise to complement their processes (VON HIPPEL, 1998; CHESBROUGH, 2003; CASSIMAN and VEUGELERS, 2006). Thus, the term Open Innovation has emerged, which was only coined in the early 2000s, by Chesbrough. By studying the history and the behavior of large US companies during the twentieth century, Chesbrough found that innovation management models used in these firms were quite closed in relation to the emergence of new ideas and their application in the market. However, this began to change as profound social changes occurred in the dissemination of knowledge and the division of labor for innovation (FERRO, 2010). The open innovation model became important in the discussion of innovation processes and models, being quoted in many articles, conferences and lectures around the world (INSTITUTE INNOVATION, 2014). This topic has received much acceptance from the academic and business world as a possibility to traditional practices of innovation management. Since the emergence of the term, the subject has grown in interest by academics and businesses worldwide. This assertion can be validated by research carried out in March 2014, in the academic base ISI Web of Knowledge, which with only the search of the word "Open Innovation" were obtained the data presented graphically in Figure 1. Figure 1 - Number of publications on “Open Innovation” 2003/2013 2 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. Promoting further the theme, Rahman and Ramos (2010) argue that, in terms of process, open innovation covers the management and the accumulation of ideas, knowledge, licenses, intellectual property, patents and inventions. In terms of innovation, it can be considered userinnovation, marketing innovation, cumulative innovation and distributed innovation. Briefly, open innovation incorporates joint efforts of internal initiatives the organization and possible outsourcing or combination of multiple inputs coming from the external environment during the process of design and product development. Figure 2 illustrates these concepts that have also coined in the funnel ideas. Figure 2 - Open innovation model Source: Adapted from Chesbrough, 2013 3 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. It is important, given this context that last the first decade of its release, for a review of how the subject has evolved in terms of academic research and, if possible, indicate the trend where these studies go. To identify how to have research on open innovation, this study presents a bibliometric study to identify which areas of research were more addressed, what are the main authors, the main journals and other information that guided the theme will be shown. Thus, the study shows, in three phases, which is differential to research on the subject, an analysis of publications, citations and bibliometric network, which can present patterns and future trends that will guide another authors to better understand the topic and carry out more researches. 2. Closed Innovation X Open Innovation The open innovation theory corresponds to a number of innovative approaches whose basic element is made innovation beyond the research and development departments of the organization. In the context of open innovation initiatives, the term "open innovation" has been used to describe various phenomena, such as open source, user-centered innovation, distributed innovation and co-creation (FRANKE and PILLER, 2004; SAWHNEY and PRANDELLI, 2000; VON HIPPEL, 2005). Due to these new perspectives, Wang (2012) points out that the open innovation model represents a break values, in which knowledge becomes conquered through partners that jointly acquire skills necessary for innovation. From the closed innovation’s point of view it was necessary to break paradigms. The organization in R & D departments led to many important achievements and numerous commercial successes. Thus, this was the mental model that the management of large companies used to manage their research centers. In fact, it is the same model used by most US corporations to manage their research laboratories for most of the twentieth century (CHESBROUGH, 2013). However, the past success of closed innovation responds negatively by its persistence in the face of ever-changing scenario of knowledge today, that is, being a fundamentally focused approach inside, it was well suited to the environment of the beginning of century XX, but meets with the scenario of knowledge at the beginning of the century XXI. To elucidate these differences, Table 1 shows a comparison between Closed Innovation and Open Innovation. Table 1 Closed Innovation X Open Innovation 4 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. Characteristic Team Closed Innovation The best people in the area work for us. Open Innovation We work with talented people from inside and outside the organization. Where do R & D To profit from R & D, we have to discover, develop and market for ourselves. R & D outside can increase the value significantly. The internal R & D is required to take each other for part of this amount. Source Technology If we discover high, we have to take it to market before. We do not need to lead a search for profit from it. Pioneering The company to bring innovation to the market first win Build better business models is more important than getting to market first. If we create more and better ideas to market, we win. If we make better use of internal and external ideas, we will win. We should control our IP so that our competitors do not profit from our ideas. We benefit for others to use our IP, and we must acquire third party technology whenever they bring benefits to our business. Quantity Quality Intellectual Property and Source: Adapted from Chesbrough (2006) Thus, according to Chesbrough (2013) the new open approach is based on a different knowledge scenario, focusing on valuable ideas that can arise from the inside and / or outside the company, and can go to market. Corroborating, Ferro (2010) believes that companies that adopt such a model seeking to differentiate them through collaborative knowledge, valuing creativity and use of ideas arising from internal and external sources. This does not mean abandoning of all the old model of competition to the detriment of an exclusive performance by means of open innovation, but think open in order to create competitive intelligence able to identify opportunities. 3. Research Method The research method selected for the study was the bibliometric analysis. By bibliometrics, it is understood as quantitative and statistical technique for measuring production rates and dissemination of scientific knowledge (ARAÚJO, 2006). The bibliometrics has three basic laws: Bradford's Law (productivity periodicals), Lotka's Law (productivity of authors) and Zipf's Law (occurrence frequency of words). The first is 5 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. also known as the law of dispersion and allows, by measuring the productivity of magazines, establish the core and the areas of dispersion on a particular subject in the same set of journals (VANTI, 2002). The bibliometrics has interdisciplinary scope and can be applied to various areas of knowledge. In general, the principle of bibliometrics is analyze the scientific or technical activity by the quantitative study of publications and its main objective is the development of increasingly reliable indicators. Indicators can be defined as the parameters used in the evaluation processes of any activity (HAYASHI et al .; 2007). For this bibliometric study the database that was chosen is the ISI Web of Knowledge that, according to Targino and Garcia (2000), is an important tool for the diagnosis of scientific literature, it is the most comprehensive database of scientific information in the world. Thus, it is the basis most widely used by experts and researchers in bibliometric studies for its wider coverage areas, the large volume of journals, and especially for compiling quotes that the basis receive annually. For the development of the work, the following steps were followed: a) We used the ISI Web of Knowledge platform for data collection, specifically the base Web on the Science; b) Data collection occurred in March 2014, considering the periods of 2003 to 2006; 2007 to 2010 and 2011 to 2013. These three phases have been defined within the first decade of 2003 to 2013 (when the term Open Innovation comes up with Henry Chesbrough article). The division of the decade aimed a detailed deepening theme evolution; c) We conducted the research for topics using the keyword "open innovation" delimiting the periods mentioned above which resulted in 1173 published works, 43 between 2003 and 2006, 263 between 2007 and 2009 and 867 between 2010 and 2013; d) We used as filter areas of research "Social Sciences" and "Technological Science" and the types of documents classified as articles, abstracts and books; e) Focused only on articles in which the word "open innovation" appeared in the title, abstract or keywords. This last filter resulted in a total of 845 articles. 6 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. The articles were added to a list that allowed us to analyze some of the results generated by the Web of Science. The file was generated with the input data and used this information in specific software, such as Word, Excel and CiteSpace, the first two being for reading and generation of tables and charts and the latter used to generate graphics. 4. Results and Bibliometric Analysis in Phases Using the data collected and analyzed it may be constructed Table 2, which shows the most discussed research areas throughout the three phases described. Table 2 The most researched areas Research Areas Phase 1 (2003/2006) Phase 2 (2007/2010) Phase 3 (2011/2013) Management X X X Business & Economics X X X Computer Science X Information Science X Operation Research & Management Science Engineering X X X X In relation to research areas explored in this first phase it was noticed a great diversity. The authors were not focused on any specific topic related to Open Innovation, and in many works can be noted that lacked even understanding the central theme. The second phase of research on Open Innovation, between the years 2007 and 2010 revealed that it was a very significant increase in the number of publications, since the issue had become a little more known and called more attention of the academic community. However, it was still remarkable and intense the concern in simply understanding what is and about the term itself and the topic itself. There is a need to define closed and open innovation and innovation always converge to a central theme of the works. The third phase of bibliometric research on Open Innovation, between the years 2011 and 2013 revealed a further significant increase in the number of publications, since the subject is currently already much better known and draws more attention of the academic community in various areas. 7 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. The cluster analysis identifies groups of documents that share references. Thus, the articles are engaged when bibliographically different authors cite one or more common in articles (GARFIELD, 2001). The study aimed to identify the cluster relationship with abstracts which is identified for the three temporal phases as shown in Figure 3 demonstrated, being respectively to A, B and C phases 1, 2 and 3. Figure 3 - Cluster-Abstract phase 1, 2 and 3 A B C Co-word analysis using patterns of co-occurrence of pairs of items, or words or phrases to identify the relationship between ideas within an area in the text (HE, 1999). This analysis enables a new researcher in an area becomes instantly familiar, facilitating the identification of key issues and their relationships, beyond what allows us to discover and describe the interaction between different research fields (MUÑOZ-LEIVA et al., 2012). The keywords were also surveyed, as they are those that, in sequence or isolated, were entered in the research tool. The keywords related to the topic open innovation, which again appeared in the studies published in all the phases: Open Innovation, Research and Development, Innovation, Strategic Alliances, Networks, Management, Knowledge, Business, Strategy, 8 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. Technology and Performance. Figure 4 shows how they appear in each stage of the decade studied, respectively. Figure 4 - Key-Words phase 1, 2 and 3 B A C Also the journals that published more about the Open Innovation theme in the decade 2003/2013 were analyzed. Prominent among international: New Open Innovation, Science Administration Quart, Research Police, MIT Sloan Manage Review. It is shown in Figure 5, as the periodical publication for each test phase, respectively. Figure 5 - Journals phase 1, 2 and 3 9 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. A B C In the co-citation analysis is performed by counting the number of times that two articles, authors, journals are cited together in third article. In this case, the point of view of the citing author there is similarity between the subject (MIGUEL, MOYA-ANEGON and HERRERO-SOLANA, 2008). Regarding the co-citation network, this allocates items that are frequently cited together in a close space. In this network you can see the flow of information between the analyzed articles and references with more citations. The sizes of the nodes represent the frequency of citation. Figure 6 shows the reference phases of the analyzed network, respectively A, B and C. Figure 6 - Cross-reference phase 1, 2 and 3 A B C 10 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. Finally, Figuge 7 illustrates the References Network of the three phases. It references from the co-occurrence of the reference, respectively. The node refers to the article and its size and color is related to the amount of quote. In these networks, the most common are green and is represented by the first article Chesbrough 2003. Note that this work is the most cited in all phases to be the theme of the precursor. As for bonds, they reflect the amount of references two articles share. Table 3 shows the number of references by authors in the analyzed phases. Figure 7 - References Network phase 1, 2 e 3 A B C Table 3 Number of references by authors and stage Phase 1 Author Chesbrough 2003ª Cohen 1990 Chesbrough 2003b Von Hippel 1988 Teece 1986 Total 17 10 7 6 6 Phase 2 Author Chesbrough 2003a Cohen 1990 Chesbrough 2006 Laursen 2006 Chesbrough 2003 b Total 166 75 66 61 60 Phase 3 Auhtor Chesbrough 2003a Cohen 1990 Laursen 2006 Chesbrough 2006a Chesbrough 2006b Total 200 108 104 89 69 5. Conclusion This work conducted a literature review on the tenth anniversary of the matter open innovation based on bibliometrics, divided into three periods. It identified the main areas of research, clusters, keywords, the network of citations and references. With this it is noted that the interest in open innovation theme has grown since 2003, when the first work. This 11 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. increase is given by the growing interest of researchers in better understanding the topic, the environment in which it develops the practice of open innovation and the network of relationships between areas of society who benefit from this practice. The pioneers articles Chesbrough in 2003 were the most cited by researchers. This is natural in science since these works present basic concepts on the subject, opening the topic for discussion and influencing all other researchers, according to the citation network and reference demonstrates. Keywords showed that the theme also addresses concepts of Open Innovation, Research and Development, Innovation and Network. Thus, the journals that most published on Open Innovation are those that focus on such areas as International Research Policy, R & D Manage, Open Innovation and New Strategic Manage. On the implementation process of Open Innovation in the first two phases, most studies showed that companies had a tendency to look over the inside out for innovation. In other words, the studies show that companies were still in the outbound phase, ie innovation from the inside out. Interestingly, over the years there was a reversal, ie, in the third stage of the decade there are far fewer companies with Outbound approach. Currently, the majority of published studies have demonstrated a strong Inbound process innovation inwardly, which is a clear tendency. Most companies are already safe to the point of wanting to share what is developed in innovation within it. They have realized that they will not lose intellectual property, knowledge, R & D and other resources generated, or are ripe in understanding the benefits that open innovation can bring to their development. It is worth noting that this work is one of the few in Brazil who dedicated itself to examine the first "decade of open innovation" with a bibliometric look. The use of bibliometric analysis software analyzes the value making them more quantitative than qualitative. It is important to know about two limiting factors in the research. The first is the quality of information, ie, as each journal has your article formatting requirements that often results in the absence of certain information that may influence the results. The second factor is the sample set to the analysis, which were selected journal articles. Finally, as future research, it is suggested that papers published in conference proceedings are also analyzed by clusters and to indicate trends, since this can complement the results. 12 XXXV ENCONTRO NACIONAL DE ENGENHARIA DE PRODUCAO Perspectivas Globais para a Engenharia de Produção Fortaleza, CE, Brasil, 13 a 16 de outubro de 2015. References ARAÚJO, C. A. Bibliometrics: development history and current issues. in Question, Porto Alegre, v. 12, n. 1, p. 11-32, jan./jun., 2006. CASSIMAN, B.; VEUGELERS, R. In search of complementary in innovation strategy: internal R&D and external knowledge acquisition. Management Science, 52, 68-82, 2006. CHESBROUGH, H. Open innovation: creating and profiting from technology (L C C Q Faria, Trad). Porto Alegre: Bookman, 2013. CHESBROUGH, H. Open Innovation: The new imperative for creating and profiting From. Harvard Business, 2006. CHESBROUGH, H. The era of open innovation. MIT Sloan Management Review. Cambridge, v. 44, n. 3, p. 35-41, 2003. FERRO, A. F. P. Management of Open Innovation: practice and skills in collaborative R & D. PhD Thesis, University of Campinas, Campinas, SP, Brasil, 2010. FRANKE, N.; Piller, F. Toolkits for user innovation and design: an exploration of user interaction and value creation. Journal of Product Innovation Management, 21 (6), 401-415, 2004. GARFIELD, E. From bibliographic coupling to co-citation analysis via algorithmic historiobibliography: a citationist’s tribute to belver C. Griffith, 2001. HAYASHI, M. C. P. I..; HAYASHI, C. R. M.; SILVA, M. R.; LIMA, M. Y. A bibliometric study of the scientific literature on the Jesuit education in colonial Brazil. Biblios, n. 27. Mar. 2007. HE Q. Knowledge discovery through co-word analysis. Library Trends, v. 48, p. 133–159, 1999. INSTITUTE INNOVATION - Accelerating Business of the future. available in: http://institutoinovaçao.com.br. Access: 28 de out. 2014. MIGUEL, S.; MOYA-ANEGON, F.; HERRERO-SOLANA, V. A new approach to institutional domain analysis: Multilevel research fronts structure. Scientometrics, v. 74, n.3. p. 331-344, 2008. MUÑOZ-LEIVA, F.; VIEDMA-DEL-JESUS, M. I.; SÁNCHEZ-FERNÁNDEZ, J.; LÓPEZHERRERA, A. G. An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective. Quality & Quantity, v. 46, n. 4, p. 1077-1095, 2012. RAHMAN, H.; RAMOS, I. Open Innovation in SMEs: From Closed Boundaries to Networked Paradigm. Issues in Informing Science and Information Technology. v. 7, 2010. SAWHNEY, M.; PRANDELLI, E. Communities of creation: Managing distributed innovation in turbulent markets. California Management Review 42 (4) 24-54, 2000. TARGINO, M. G.; GARCIA, J. C. R. Brazilian science in the Institute database for Scientific Information (ISI). Ci. Inf, Brasília, v. 29, n. 1, p. 103-117, jan./apr., 2000. VANTI, N. A. P. Bibliometrics to webometrics: a conceptual exploration of the mechanisms used to measure the registration information and the dissemination of knowledge. Information Science, Brasilia, v. 31, n. 2, p. 152162, may/agu., 2002. Von HIPPEL, E. Democratizing innovation: The evolving phenomenon of user innovation. J. Betriebswirtschaft, v. 55, n. 1, p. 63–78, 2005. Von HIPPEL, E. The source of innovation. New York: Oxford University Press., 1998. WANG, M. Exploring potential R&D collaborators with complementary technologies: The case of biosensors. Technological Forecasting & Social Change, 79, 862-874, 2012. 13