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Modeling product choices in a peer network

Fang, Di; Richards, Timothy J.; Grebitus, Carola - In: Forum for health economics & policy : an evolving … 22 (2019) 1, pp. 1-13

Persistent link: https://www.econbiz.de/10012149333

A virus that knows no borders? Exposure to and restrictions of international travel and the global diffusion of COVID-19

Koopmans, Ruud - 2020

"Closing borders is naive, the virus will come regardless" - this was the policy assumption that was repeatedly stated until mid-March by the WHO, the EU, as well as responsible authorities in Germany and other countries. Meanwhile, other states had started closing their borders to travellers...

Persistent link: https://www.econbiz.de/10012299312

Focused model selection for social networks

Pircalabelu, E.; Claeskens, G. - 2016

Persistent link: https://www.econbiz.de/10011658590

When to take or forgo new product exclusivity : balancing protection from competition against word-of-mouth spillover

Peres, Renana; Van Den Bulte, Christophe - In: Journal of marketing 78 (2014) 2, pp. 83-100

Persistent link: https://www.econbiz.de/10010345569

The effect of social networks structure on innovation performance : a review and directions for research

Muller, Eitan; Peres, Renana - In: International journal of research in marketing : IJRM ; … 36 (2019) 1, pp. 3-19

Persistent link: https://www.econbiz.de/10012016487

Naïve Learning in Social Networks: Convergence, Influence and Wisdom of Crowds

Jackson, Matthew O.; Golub, Benjamin - 2007

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors' opinions. A focus is on conditions under which beliefs of all agents in large societies...

Persistent link: https://www.econbiz.de/10010312406

Analysis of the role of international network effects on the diffusion of second and third generation mobile communication networks

Baquero, Maria; Kuroda, Toshifumi - 2015

Using quarterly data of 58 countries, this paper provides empirical evidence that mobile phone diffusion from 2007 to …). In addition, we test if the impact on mobile phone diffusion differs whether technologies are local or global standards … (Global System for Mobile Communications) technology prevent the diffusion of third generation (3G) mobile phones. We show …

Persistent link: https://www.econbiz.de/10011433040

Understanding the diffusion modes of grassroots innovations in India : a study of Honey Bee Network supported innovators

Abrol, Dinesh; Gupta, Ankush - In: African journal of science, technology, innovation & … 6 (2014) 5/6, pp. 541-522

Persistent link: https://www.econbiz.de/10011337823

Diffussion of competing innovation in influence networks

Kim, Jeehong; Hur, Wonchang - In: Journal of economic interaction and coordination : JEIC 8 (2013) 1, pp. 109-124

Persistent link: https://www.econbiz.de/10009730903

Diffusion of environmental business practices : a network approach

Tate, Wendy L.; Ellram, Lisa M.; Gölgeci, Ismail - In: Journal of purchasing and supply management 19 (2013) 4, pp. 264-275

Persistent link: https://www.econbiz.de/10010227146