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Estimating new product success with the use of intelligent systems
Relich, Marcin; Bzdyra, Krzysztof - In: Foundations of Management : the journal of Warsaw … 6 (2014) 2, pp. 7-20
The paper presents identifying success factors in new product development and selecting new product portfolio. The critical success factors are identified on the basis of an enterprise system, including the fields of project management, marketing and customer’s comments concerning the previous...
Persistent link: https://www.econbiz.de/10011855261
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Does big data-embedded new product development influence project success?
Wang, Yufan; Zhang, Haili; Song, Michael - In: Research-technology management : RTM 63 (2020) 4, pp. 35-42
Persistent link: https://www.econbiz.de/10012258786
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Exploring project knowledge acquisition and exchange through action research
Algeo, Chivonne - In: Project management journal : PMJ 45 (2014) 3, pp. 46-56
Persistent link: https://www.econbiz.de/10010381527
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Recommendation of project management practices : a contribution to hybrid models
Bianchi, Michael J.; Conforto, Edivandro C.; … - In: IEEE transactions on engineering management : EM 69 (2022) 6,2, pp. 3558-3571
Persistent link: https://www.econbiz.de/10013545820
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Knowledge integration in government-industry project network
Tiwari, Shailini Rahul - In: Knowledge and process management : the journal of … 22 (2015) 1, pp. 11-21
Persistent link: https://www.econbiz.de/10011459803
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R&D project evaluation at a university with knowledge acquisition and knowledge engineering
Haász, Gabriella; Czakó, Katalin; Baracskai, Zoltán - In: International journal of project organisation and … 15 (2023) 3, pp. 332-350
Persistent link: https://www.econbiz.de/10014364301
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The critical success factors of the ERP system project : a meta-analysis methodology
Zouine, Abdesamad; Fenies, Pierre - In: The journal of applied business research 30 (2014) 5, pp. 1407-1448
Persistent link: https://www.econbiz.de/10010470518
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Impact evaluation of an emerging European health project : the MIDAS model
Connolly, Justin; Staines, Anthony; Connolly, Regina; … - In: Business systems research : a system view accross … 11 (2020) 1, pp. 142-150
Background: This paper describes the impact evaluation of a large big data platform initiative that is being undertaken in order to increase the probability of its success. The initiative, MIDAS (Meaningful Integration of Data Analytics and Services), is a European health-based Horizon 2020...
Persistent link: https://www.econbiz.de/10012215747