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Overcoming open innovation challenges : a contribution from foresight and foresight networks
Calof, Jonathan L.; Meissner, Dirk; Razheva, Anastasia - In: Technology analysis & strategic management 30 (2018) 6, pp. 718-733
Persistent link: https://www.econbiz.de/10011911558
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Networked foresight : the case of EIT ICT labs
Heger, Tobias; Boman, Magnus - In: Technological forecasting & social change : an … 101 (2015), pp. 147-164
Persistent link: https://www.econbiz.de/10011571625
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Identification of technology diffusion by citation and main paths analysis : the possibility of measuring open innovation
Su, Wei-Hao; Chen, Kai-Ying; Lu, Louis Y. Y.; Huang, Ya-Chi - In: Journal of open innovation : technology, market, and … 7 (2021) 1/104, pp. 1-22
This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases,...
Persistent link: https://www.econbiz.de/10012493104
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Estimating innovation risk based on forecasting of its level
Kharchuk, Viktoria; Yastrubskyj, Mychajlo - In: Annales Universitatis Mariae Curie-Skłodowska / H 46 (2012) 4, pp. 319-330
Persistent link: https://www.econbiz.de/10009720622
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Pre-launch new product demand forecasting using the Bass model : a statistical and machine learning-based approach
Lee, Hakyeon; Kim, Sang-gook; Park, Hyun-woo; Kang, Pilsung - In: Technological forecasting & social change : an … 86 (2014), pp. 49-64
Persistent link: https://www.econbiz.de/10010479686
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Open foresight workshops for opportunity identification
Rau, Christiane; Schweitzer, Fiona; Gassmann, Oliver - In: Open innovation : new product development essentials …, (pp. 27-52). 2014
Persistent link: https://www.econbiz.de/10010463993
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Design trend forecasting by combining conceptual analysis and semantic projections : new tools for open innovation
Manetti, Alessandro; Ferrer-Sapena, Antonia; Sánchez … - In: Journal of open innovation : technology, market, and … 7 (2021) 1/92, pp. 1-26
particular design product, becoming in this way, a new instrument for Open Innovation. The mathematical characterization of what … is a semantic projection, together with the use of the theory of Lipschitz functions in metric spaces, provides a broad …
Persistent link: https://www.econbiz.de/10012491187
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Foresight study using scenarios and the Delphi method in the leather agroindustrial chain to 2035 : alignment of results with open innovation
Zartha Sossa, Jhon Wilder; Posada, Nolberto Gutiérrez; … - In: Journal of open innovation : technology, market, and … 10 (2024) 3, pp. 1-16
. The questionnaire was posed by groupings, including product and by-product innovation, sustainability, technology, and … improve leather quality, among others, in which innovation challenges and open innovation strategies can be generated, as well …
Persistent link: https://www.econbiz.de/10015072134
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Citrus yield prediction using deep learning techniques : a combination of field and satellite data
Moussaid, Abdellatif; El Fkihi, Sanaa; Zennayi, Yahya; … - In: Journal of open innovation : technology, market, and … 9 (2023) 2, pp. 1-9
The goal of this paper is to develop a deep learning model for predicting citrus yield. The data used consists of two sources: (1) field data that includes information on fertilization and phytosanitary treatment products, water quantities used for irrigation, climatic data (temperature,...
Persistent link: https://www.econbiz.de/10014365971
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Artificial intelligence for forecasting sales of agricultural products : a case study of a Moroccan agricultural company
Mohamed-Amine, Nebri; Abdellatif, Moussaid; Belaid, … - In: Journal of open innovation : technology, market, and … 10 (2024) 1, pp. 1-10
This paper presents a study focused on the analysis of phytosanitary treatment sales in the Souss Massa region of Morocco. The objective of the study is to predict the sales of agricultural products, particularly crop protection solutions, aiming to optimize supply chain operations and meet...
Persistent link: https://www.econbiz.de/10014518775