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The effective management of knowledge exchange is critical for open innovation in ecosystem contexts where organizations may partner with potential competitors. This study contributes to existing knowledge by detecting the conditions for knowledge transfer success between both coopetitive and non-competitive ecosystem partners. The study uses a qualitative approach. Semi-structured interviews were conducted with 20 stakeholders across multi-industry ecosystems to compare the presence of knowledge transfer conditions between competitors and non-competitors. Through fuzzy-set qualitative comparative analysis (fsQCA), configurational recipes of conditions were identified, revealing the distinct configurations required of either coopetitive or non-competitive partnerships in the context of innovation ecosystems. The findings show the need for organizations to tailor knowledge exchange practices to the competitive nature of each relationship. Notable theoretical and practical implications are provided for ecosystem stakeholders that engage in coopetitive partnerships to develop innovations.

Open innovation ecosystems involve the transfer of knowledge between multiple stakeholders to contribute toward product and service innovation, and to an extent, have superseded network-level approaches to co-creation. Effective management of the knowledge and information transferred between ecosystem partners is crucial for the process of open innovation. However, to date, limited research has focused on ascertaining the conditions required for knowledge transfer success, particularly where the context involves collaboration between diverse organizational actors. Correspondingly, this study extends existing knowledge by presenting an exploration of conditions for knowledge transfer success between ecosystem partners. Semi-structured interviews were conducted with thirty key stakeholders in order to acquire their perceptions of the presence of specific conditions within their ecosystem partnerships. Empirical data were analyzed using a fuzzy-set Qualitative Comparative Analysis approach, resulting in the production of success recipes from multinational, small and medium-sized enterprise, and academic institution perspectives. Results indicate that combinations of knowledge, relationship, and organizational characteristics contribute to knowledge transfer success. However, these combinations are found to be dependent on the type of ecosystem partnership involved. Theoretical and practical implications of the study are presented, along with acknowledged limitations and suggestions for further work.

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Abbey J., Davies G. and Mainwaring L. Vorsprung durch Technium: towards a system of innovation in south-west Wales, Regional Studies. Begun in 2001, Technium is a Welsh university-business interface project presently consisting of ten facilities. Seven of these are jointly managed by the Welsh Development Agency and Swansea University. Taken together with other, linked developments at the university, Technium is helping to generate a distinct sub-regional innovation system incorporating many features that researchers have identified as critical to successful localized collective learning and innovation. A provisional evaluation of costs and benefits suggests that recent criticism of the project is unfounded. With its initial dependence on European Union Structural Funds, the Technium model incorporates design elements that may be appropriate to other relatively deprived regions of the European Union. [image omitted] Abbey J., Davies G. et Mainwaring L. Vorsprung durch Technium: vers un systeme d'innovation dans le Sud-ouest des pays de Galles, Regional Studies. Lancee en 2001, Technium est une interface entre le secteur universitaire et le milieu du commerce comportant actuellement dix complexes, dont sept administres conjointement par la Welsh Development Agency (commission chargee de la promotion des pays de Galles) et par l'Universite de Swansea. Considere avec d'autres developpements universitaires connexes, Technium contribue a la creation d'un different systeme d'innovation sousregional qui embrasse beaucoup des traits qu'ont identifies les chercheurs comme essentiels pour assurer un apprentissage collectif et une innovation localises reussis. Une evaluation provisioire des couts et des benefices laisse supposer que la critique recente du projet est sans fondement. Avec sa dependance initiale des Fonds structurels de l'Ue, le modele Technium inclut des elements qui pourraient s'averer appropries aux autres regions relativement defavorisees de l'Ue. Technium Systemes d'innovation locaux Sud-ouest des pays de Galles Abbey J., Davies G. und Mainwaring L. Vorsprung durch Technium: auf dem Weg zu einem System der Innovation in Sudwest-Wales, Regional Studies. Technium ist ein 2001 gegrundetes Schnittstellenprojekt zwischen Universitaten und Unternehmen in Wales, das derzeit zehn Einrichtungen umfasst. Sieben dieser Einrichtungen stehen unter der gemeinsamen Verwaltung der Welsh Development Agency und der Universitat Swansea. Gemeinsam mit anderen, verknupften Entwicklungen an der Universitat tragt Technium zum Aufbau eines eigenen subregionalen Innovationssystems bei, das zahlreiche Merkmale aufweist, die von Wissenschaftlern als entscheidend fur erfolgreiches kollektives Lernen und Innovation vor Ort bezeichnet wurden. Eine provisorische Bewertung von Kosten und Nutzen lasst darauf schliessen, dass die jungste Kritik am Projekt unbegrundet ist. Mit seiner anfanglichen Abhangigkeit von EU-Strukturfonds weist das Technium-Modell Merkmale auf, die sich auch fur andere relativ benachteiligte Regionen der EU als gee...

We consider a fixed size Markov chain model which suffers losses and admits controlled recruitment. The family of n-step maintainable structures is described geometrically and examined.

Control is exercised on the parameters of a Markov chain model for a graded manpower system, and the effects on the structure of the system are examined. Questions of attainability and maintainability of structures are discussed for both fixed size and expanding systems. Examples are presented to illustrate the theory.

Purpose The purpose of this paper is to understand the integrated impact of the application of protection measures against identity theft on consumers’ synergistic perception of trust, the cost of products/services and operational performance (OP) – all of which in turn is postulated to contribute to purchase intention (PI) when shopping online. Design/methodology/approach In order to accomplish the specified aim, this study first conducted an experiment by involving the students from a university in Bangladesh. Then a survey was conducted to capture their opinion based on the previous experiment. Findings The study identified that in e-commerce, OP and trust have potential impact on pursuing consumers’ PI. Traditionally, price is always an issue in marketing; however, for e-commerce, this issue does not have direct impact on PI. Research limitations/implications The main limitation of this study is that a less established e-commerce example was utilized to conduct the experiment and survey for validating the model. Also, the study was conducted only in the context of Bangladesh and a student sample was utilized. Future studies can test the model in different contexts (particularly to verify the impact of privacy) by utilizing data from consumers. Practical implications This study has resolved a controversial issue by generating clear guidelines that the overall conjoint effect of OP, trust, and price on PI is neither negative nor neutral. Synergistically, the application of these controlling tools of identity theft can substantially enhance consumers’ trust, which is the single most predictor to pursue consumer PI. Originality/value This study has provided in-depth insight into the impact of different controlling measures in e-commerce PI. Practitioners have potential learning from this study that if consumers find the application of different controlling mechanisms against cybercrimes, particularly identity theft, enhancing the reliability, authenticity and security of transactions in this virtual medium, they do not mind paying a higher price. Such insights have not been provided by existing studies on this topic. Developing trust on e-commerce purchase is the driving force, not the price.