810 research outputs found

    Coopetition of software firms in Open source software ecosystems

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    Software firms participate in an ecosystem as a part of their innovation strategy to extend value creation beyond the firms boundary. Participation in an open and independent environment also implies the competition among firms with similar business models and targeted markets. Hence, firms need to consider potential opportunities and challenges upfront. This study explores how software firms interact with others in OSS ecosystems from a coopetition perspective. We performed a quantitative and qualitative analysis of three OSS projects. Finding shows that software firms emphasize the co-creation of common value and partly react to the potential competitiveness on OSS ecosystems. Six themes about coopetition were identified, including spanning gatekeepers, securing communication, open-core sourcing and filtering shared code. Our work contributes to software engineering research with a rich description of coopetition in OSS ecosystems. Moreover, we also come up with several implications for software firms in pursing a harmony participation in OSS ecosystems.Comment: This is the author's version of the work. Copyright owner's version can be accessed at https://link.springer.com/chapter/10.1007/978-3-319-69191-6_10, Coopetition of software firms in Open source software ecosystems, 8th ICSOB 2017, Essen, Germany (2017

    Cooperation among competitors in the open-source arena: The case of OpenStack

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    Interorganizational interactions are often complex and paradoxical. In this research, we transcend two management paradoxes: (competition versus cooperation) and (open-source versus proprietary) technology development. We follow the OpenStack open-source ecosystem where competing firms cooperate in the joint-development of a cloud infrastructure for big data. We provide a narrative, complemented with social network visualizations, which depicts the evolution of cooperation and competition. Our findings suggest that development transparency and weak intellectual property rights (i.e., characteristics of open-source ecosystems) allow a focal firm to transfer information and resources more easily between multiple alliances

    Coopetition in an open-source way : lessons from mobile and cloud computing infrastructures

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    An increasing amount of technology is no longer developed in-house. Instead, we are in a new age where technology is developed by a networked community of individuals and organizations, who base their relations to each other on mutual interest. Advances arising from research in platforms, ecosystems, and infrastructures can provide valuable knowledge for better understanding and explaining technology development among a network of firms. More surprisingly, recent research suggests that technology can be jointly developed by rival competing firms in an open-source way. For instance, it is known that the mobile device makers Apple and Samsung continued collaborating in open-source projects while running expensive patent wars in the courts. On top of multidisciplinary theory in open-source software, cooperation among competitors (aka coopetition) and digital infrastructures, I (and my coauthors) explored how rival firms cooperate in the joint development of open-source infrastructures. While assimilating a wide variety of paradigms and analytical approaches, this doctoral research combined the qualitative analysis of naturally occurring data (QA) with the mining of software repositories (MSR) and social network analysis (SNA) within a set of case studies. By turning to the mobile and cloud computing industries in general, and the WebKit and OpenStack opensource infrastructures in particular, we found out that qualitative ethnographic materials, combined with social network visualizations, provide a rich medium that enables a better understanding of competitive and cooperative issues that are simultaneously present and interconnected in open-source infrastructures. Our research contributes back to managerial literature in coopetition strategy, but more importantly to Information Systems by addressing both cooperation and competition within the development of high-networked open-source infrastructures.YhĂ€ suurempaa osaa teknologiasta ei enÀÀ kehitetĂ€ organisaatioiden omasta toimesta. Sen sijaan, olemme uudella aikakaudella jossa teknologiaa kehitetÀÀn verkostoituneessa yksilöiden ja organisaatioiden yhteisössĂ€, missĂ€ toimitaan perustuen yhteiseen tavoitteeseen. Alustojen, ekosysteemien ja infrastruktuurien tutkimuksen tulokset voivat tuottaa arvokasta tietĂ€mystĂ€ teknologian kehittĂ€misestĂ€ yritysten verkostossa. Erityisesti tuore tutkimustieto osoittaa ettĂ€ kilpailevat yritykset voivat yhdessĂ€ kehittÀÀ teknologiaa avoimeen lĂ€hdekoodiin perustuvilla kĂ€ytĂ€nnöillĂ€. Esimerkiksi tiedetÀÀn ettĂ€ mobiililaitteiden valmistajat Apple ja Samsung tekivĂ€t yhteistyötĂ€ avoimen lĂ€hdekoodin projekteissa ja kĂ€vivĂ€t samaan aikaan kalliita patenttitaistoja eri oikeusfoorumeissa. Perustuen monitieteiseen teoriaan avoimen lĂ€hdekoodin ohjelmistoista, yhteistyöstĂ€ kilpailijoiden kesken (coopetition) sekĂ€ digitaalisista infrastruktuureista, minĂ€ (ja kanssakirjoittajani) tutkimme miten kilpailevat yritykset tekevĂ€t yhteistyötĂ€ avoimen lĂ€hdekoodin infrastruktuurien kehityksessĂ€. Sulauttaessaan runsaan joukon paradigmoja ja analyyttisiĂ€ lĂ€hestymistapoja case-joukon puitteissa, tĂ€mĂ€ vĂ€itöskirjatutkimus yhdisti luonnollisesti esiintyvĂ€n datan kvantitatiivisen analyysin ohjelmapakettivarastojen louhintaan ja sosiaalisten verkostojen analyysiin. Tutkiessamme mobiili- ja pilvipalveluiden teollisuudenaloja yleisesti, ja WebKit ja OpenStack avoimen lĂ€hdekoodin infrastruktuureja erityisesti, havaitsimme ettĂ€ kvalitatiiviset etnografiset materiaalit yhdistettyinĂ€ sosiaalisten verkostojen visualisointiin tuottavat rikkaan aineiston joka mahdollistaa avoimen lĂ€hdekoodin infrastruktuuriin samanaikaisesti liittyvien kilpailullisten ja yhteistyökuvioiden hyvĂ€n ymmĂ€rtĂ€misen. Tutkimuksemme antaa oman panoksensa johdon kirjallisuuteen coopetition strategy -alueella, mutta sitĂ€kin enemmĂ€n tietojĂ€rjestelmĂ€tieteeseen, lĂ€pikĂ€ymĂ€llĂ€ sekĂ€ yhteistyötĂ€ ettĂ€ kilpailua tiiviisti verkostoituneessa avoimen lĂ€hdekoodin infrastruktuurien kehitystoiminnassaUma crescente quantidade de tecnologia nĂŁo Ă© desenvolvida internamente por uma sĂł organização. Em vez disso, estamos em uma nova era em que a tecnologia Ă© desenvolvida por uma comunidade de indivĂ­duos e organizaçÔes que baseiam suas relaçÔes umas com as outras numa rede de interesse mĂștuo. Os avanços teĂłrico decorrentes da pesquisa em plataformas computacionais, ecossistemas e infraestruturas digitais fornecem conhecimentos valiosos para uma melhor compreensĂŁo e explicação do desenvolvimento tecnolĂłgico por uma rede de multiplas empresas. Mais surpreendentemente, pesquisas recentes sugerem que tecnologia pode ser desenvolvida conjuntamente por empresas rivais concorrentes e de uma forma aberta (em cĂłdigo aberto). Por exemplo, sabe-se que os fabricantes de dispositivos mĂłveis Apple e Samsung continuam a colaborar em projetos de cĂłdigo aberto ao mesmo tempo que se confrontam em caras guerras de patentes nos tribunais. Baseados no conhecimento cientĂ­fico de software de cĂłdigo aberto, de cooperação entre concorrentes (tambĂ©m conhecida como coopetição) e de infraestruturas digitais, eu e os meus co-autores exploramos como empresas concorrentes cooperam no desenvolvimento conjunto de infraestruturas de cĂłdigo aberto. Ao utilizar uma variedade de paradigmas e abordagens analĂ­ticas, esta pesquisa de doutoramento combinou a anĂĄlise qualitativa de dados de ocorrĂȘncia natural (QA) com a anĂĄlise de repositĂłrios de softwares (MSR) e a anĂĄlise de redes sociais (SNA) dentro de um conjunto de estudos de casos. Ao investigar as industrias de technologias mĂłveis e de computação em nuvem em geral, e as infraestruturas em cĂłdigo aberto WebKit e OpenStack, em particular, descobrimos que o material etnogrĂĄfico qualitativo, combinado com visualizaçÔes de redes sociais, fornece um meio rico que permite uma melhor compreensĂŁo das problemas competitivos e cooperativos que estĂŁo simultaneamente presentes e interligados em infraestruturas de cĂłdigo aberto. A nossa pesquisa contribui para a literatura em gestĂŁo estratĂ©gica e coompetição, mas mais importante para literatura em Sistemas de Informação, abordando a cooperação e concorrĂȘncia no desenvolvimento de infraestruturas de cĂłdigo aberto por uma rede the indivĂ­duos e organizaçÔes em interesse mĂștuo

    Lessons Learned from Applying Social Network Analysis on an Industrial Free/Libre/Open Source Software Ecosystem

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    Many software projects are no longer done in-house by a single organization. Instead, we are in a new age where software is developed by a networked community of individuals and organizations, which base their relations to each other on mutual interest. Paradoxically, recent research suggests that software development can actually be jointly-developed by rival firms. For instance, it is known that the mobile-device makers Apple and Samsung kept collaborating in open source projects while running expensive patent wars in the court. Taking a case study approach, we explore how rival firms collaborate in the open source arena by employing a multi-method approach that combines qualitative analysis of archival data (QA) with mining software repositories (MSR) and Social Network Analysis (SNA). While exploring collaborative processes within the OpenStack ecosystem, our research contributes to Software Engineering research by exploring the role of groups, sub-communities and business models within a high-networked open source ecosystem. Surprising results point out that competition for the same revenue model (i.e., operating conflicting business models) does not necessary affect collaboration within the ecosystem. Moreover, while detecting the different sub-communities of the OpenStack community, we found out that the expected social tendency of developers to work with developers from same firm (i.e., homophily) did not hold within the OpenStack ecosystem. Furthermore, while addressing a novel, complex and unexplored open source case, this research also contributes to the management literature in coopetition strategy and high-tech entrepreneurship with a rich description on how heterogeneous actors within a high-networked ecosystem (involving individuals, startups, established firms and public organizations) joint-develop a complex infrastructure for big-data in the open source arena.Comment: As accepted by the Journal of Internet Services and Applications (JISA

    Complementors as Innovation Ecosystem Actors: Interactions, Capabilities, Challenges

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    Why are some coalitions more successful than others in setting standards? Empirical evidence from the Blu-ray vs. HD-DVD standard war

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    Standard-setting coalitions are increasingly composed of rival firms from different sectors and are characterized by simultaneous and/or sequential cooperation and competition among their members. This paper examines why firms choose to belong to two standard-setting coalitions instead of one and what determines the success of a standard coalition. We test empirically for network effect, experience effect, and coopetitive effect in the Blu-ray vs. HD-DVD standard war. We find that the higher the similarity of the members in the coalition, the greater the probability of standard coalition success. Furthermore, relatedness leads to a greater probability of joining both competing coalitions, but at a given degree of knowledge difference, an opposite effect exists.Blu-ray; HD-DVD; coalition; coopetition; standard war

    Learning Strategies in Coopetitive Environments

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    The objective of this chapter is to explore the learning strategies that can be deployed by firms in coopetitive configurations with no other choice than deploying an “adverse learning” mechanism to reach their customers through cooperation with their competitors. After exploring the mechanisms of asymmetric learning in a first section, the chapter adopts an ecological perspective (Hawley, 1950) in drawing parallels between animal organization and groups of firms in gaining a strategic advantage through asymmetric learning.coopetition; Learning Behavior; Learning Strategy.
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