A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines
Purpose 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. Design/methodology/approach In...
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| Veröffentlicht in: | Journal of knowledge management 2022-03, Vol.26 (3), p.681-721 |
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| creator | Oliva, Fábio Lotti Paza, Andrei Carlos Torresani Bution, Jefferson Luiz Kotabe, Masaaki Kelle, Peter Vasconcellos, Eduardo Pinheiro Gondim de Grisi, Celso Claudio de Hildebrand e Almeida, Martinho Isnard Ribeiro de Fischmann, Adalberto Americo |
| description | Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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 |
| doi_str_mv | 10.1108/JKM-11-2020-0809 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_emera</sourceid><recordid>TN_cdi_proquest_journals_2637507044</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2637507044</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-ac6a4b513f222e25d0cb5f9ec744e9ecac6559d5f9ed3ac3666fb1db324c25f83</originalsourceid><addsrcrecordid>eNptUclOwzAUjBBIlMKdoyXOod6ycasqKEtRL3COHOeldZvYwU6pyoVfx2krISRO85aZkT0vCK4JviUEp6Pnl9eQkJBiikOc4uwkGJAkSsOEp_zU1yxOQkYTfB5cOLfCmPCMx4Pge4waU0KNOoOEFvXuC1C3BLTWZltDuQDU-PECGtAdssqtHVIamRa0R20-RaeMvkOtNa1xqm-8TYlE29ZK7pdoq7rl3lMKB8hUaDqfobGytdLgLoOzStQOro44DN4f7t8mj-FsPn2ajGehZHHahULGghcRYRWlFGhUYllEVQYy4Rw8-H0UZWU_KpnwmjiuClIWjHJJoyplw-Dm4Otf-rEB1-Urs7H-wy6nMUsinGDOPQsfWNIa5yxUeWtVI-wuJzjvY859zL7I-5jzPmYvQQcJSKOV-xUkWUxZxijxlNGR0oAVdfmf6Z_bsR93doqJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2637507044</pqid></control><display><type>article</type><title>A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines</title><source>Standard: Emerald eJournal Premier Collection</source><creator>Oliva, Fábio Lotti ; Paza, Andrei Carlos Torresani ; Bution, Jefferson Luiz ; Kotabe, Masaaki ; Kelle, Peter ; Vasconcellos, Eduardo Pinheiro Gondim de ; Grisi, Celso Claudio de Hildebrand e ; Almeida, Martinho Isnard Ribeiro de ; Fischmann, Adalberto Americo</creator><creatorcontrib>Oliva, Fábio Lotti ; Paza, Andrei Carlos Torresani ; Bution, Jefferson Luiz ; Kotabe, Masaaki ; Kelle, Peter ; Vasconcellos, Eduardo Pinheiro Gondim de ; Grisi, Celso Claudio de Hildebrand e ; Almeida, Martinho Isnard Ribeiro de ; Fischmann, Adalberto Americo</creatorcontrib><description>Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.</description><identifier>ISSN: 1367-3270</identifier><identifier>EISSN: 1758-7484</identifier><identifier>DOI: 10.1108/JKM-11-2020-0809</identifier><language>eng</language><publisher>Kempston: Emerald Publishing Limited</publisher><subject>Air transportation ; Airlines ; Aviation ; Business models ; Competition ; Dispersion ; Domestic markets ; Innovations ; Investigations ; Knowledge management ; Literature reviews ; Market shares ; Pandemics ; Risk management ; Systematic review ; Transportation industry</subject><ispartof>Journal of knowledge management, 2022-03, Vol.26 (3), p.681-721</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ac6a4b513f222e25d0cb5f9ec744e9ecac6559d5f9ed3ac3666fb1db324c25f83</citedby><cites>FETCH-LOGICAL-c368t-ac6a4b513f222e25d0cb5f9ec744e9ecac6559d5f9ed3ac3666fb1db324c25f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/JKM-11-2020-0809/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,776,780,21674,27901,27902,53219</link.rule.ids></links><search><creatorcontrib>Oliva, Fábio Lotti</creatorcontrib><creatorcontrib>Paza, Andrei Carlos Torresani</creatorcontrib><creatorcontrib>Bution, Jefferson Luiz</creatorcontrib><creatorcontrib>Kotabe, Masaaki</creatorcontrib><creatorcontrib>Kelle, Peter</creatorcontrib><creatorcontrib>Vasconcellos, Eduardo Pinheiro Gondim de</creatorcontrib><creatorcontrib>Grisi, Celso Claudio de Hildebrand e</creatorcontrib><creatorcontrib>Almeida, Martinho Isnard Ribeiro de</creatorcontrib><creatorcontrib>Fischmann, Adalberto Americo</creatorcontrib><title>A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines</title><title>Journal of knowledge management</title><description>Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.</description><subject>Air transportation</subject><subject>Airlines</subject><subject>Aviation</subject><subject>Business models</subject><subject>Competition</subject><subject>Dispersion</subject><subject>Domestic markets</subject><subject>Innovations</subject><subject>Investigations</subject><subject>Knowledge management</subject><subject>Literature reviews</subject><subject>Market shares</subject><subject>Pandemics</subject><subject>Risk management</subject><subject>Systematic review</subject><subject>Transportation industry</subject><issn>1367-3270</issn><issn>1758-7484</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptUclOwzAUjBBIlMKdoyXOod6ycasqKEtRL3COHOeldZvYwU6pyoVfx2krISRO85aZkT0vCK4JviUEp6Pnl9eQkJBiikOc4uwkGJAkSsOEp_zU1yxOQkYTfB5cOLfCmPCMx4Pge4waU0KNOoOEFvXuC1C3BLTWZltDuQDU-PECGtAdssqtHVIamRa0R20-RaeMvkOtNa1xqm-8TYlE29ZK7pdoq7rl3lMKB8hUaDqfobGytdLgLoOzStQOro44DN4f7t8mj-FsPn2ajGehZHHahULGghcRYRWlFGhUYllEVQYy4Rw8-H0UZWU_KpnwmjiuClIWjHJJoyplw-Dm4Otf-rEB1-Urs7H-wy6nMUsinGDOPQsfWNIa5yxUeWtVI-wuJzjvY859zL7I-5jzPmYvQQcJSKOV-xUkWUxZxijxlNGR0oAVdfmf6Z_bsR93doqJ</recordid><startdate>20220311</startdate><enddate>20220311</enddate><creator>Oliva, Fábio Lotti</creator><creator>Paza, Andrei Carlos Torresani</creator><creator>Bution, Jefferson Luiz</creator><creator>Kotabe, Masaaki</creator><creator>Kelle, Peter</creator><creator>Vasconcellos, Eduardo Pinheiro Gondim de</creator><creator>Grisi, Celso Claudio de Hildebrand e</creator><creator>Almeida, Martinho Isnard Ribeiro de</creator><creator>Fischmann, Adalberto Americo</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7TA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K6~</scope><scope>K8~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0T</scope><scope>M1O</scope><scope>M2M</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20220311</creationdate><title>A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines</title><author>Oliva, Fábio Lotti ; Paza, Andrei Carlos Torresani ; Bution, Jefferson Luiz ; Kotabe, Masaaki ; Kelle, Peter ; Vasconcellos, Eduardo Pinheiro Gondim de ; Grisi, Celso Claudio de Hildebrand e ; Almeida, Martinho Isnard Ribeiro de ; Fischmann, Adalberto Americo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-ac6a4b513f222e25d0cb5f9ec744e9ecac6559d5f9ed3ac3666fb1db324c25f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air transportation</topic><topic>Airlines</topic><topic>Aviation</topic><topic>Business models</topic><topic>Competition</topic><topic>Dispersion</topic><topic>Domestic markets</topic><topic>Innovations</topic><topic>Investigations</topic><topic>Knowledge management</topic><topic>Literature reviews</topic><topic>Market shares</topic><topic>Pandemics</topic><topic>Risk management</topic><topic>Systematic review</topic><topic>Transportation industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oliva, Fábio Lotti</creatorcontrib><creatorcontrib>Paza, Andrei Carlos Torresani</creatorcontrib><creatorcontrib>Bution, Jefferson Luiz</creatorcontrib><creatorcontrib>Kotabe, Masaaki</creatorcontrib><creatorcontrib>Kelle, Peter</creatorcontrib><creatorcontrib>Vasconcellos, Eduardo Pinheiro Gondim de</creatorcontrib><creatorcontrib>Grisi, Celso Claudio de Hildebrand e</creatorcontrib><creatorcontrib>Almeida, Martinho Isnard Ribeiro de</creatorcontrib><creatorcontrib>Fischmann, Adalberto Americo</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Materials Business File</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Healthcare Administration Database</collection><collection>Library Science Database</collection><collection>Psychology Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of knowledge management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oliva, Fábio Lotti</au><au>Paza, Andrei Carlos Torresani</au><au>Bution, Jefferson Luiz</au><au>Kotabe, Masaaki</au><au>Kelle, Peter</au><au>Vasconcellos, Eduardo Pinheiro Gondim de</au><au>Grisi, Celso Claudio de Hildebrand e</au><au>Almeida, Martinho Isnard Ribeiro de</au><au>Fischmann, Adalberto Americo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines</atitle><jtitle>Journal of knowledge management</jtitle><date>2022-03-11</date><risdate>2022</risdate><volume>26</volume><issue>3</issue><spage>681</spage><epage>721</epage><pages>681-721</pages><issn>1367-3270</issn><eissn>1758-7484</eissn><abstract>Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.</abstract><cop>Kempston</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/JKM-11-2020-0809</doi><tpages>41</tpages></addata></record> |
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| ispartof | Journal of knowledge management, 2022-03, Vol.26 (3), p.681-721 |
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| language | eng |
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| source | Standard: Emerald eJournal Premier Collection |
| subjects | Air transportation Airlines Aviation Business models Competition Dispersion Domestic markets Innovations Investigations Knowledge management Literature reviews Market shares Pandemics Risk management Systematic review Transportation industry |
| title | A model to analyze the knowledge management risks in open innovation: proposition and application with the case of GOL Airlines |
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