Urban crowdsourcing: selection of stakeholders and dynamic knowledge flows

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Urban crowdsourcing is a new form of open innovation that aims to develop smart cities.Using a qualitative approach with experts involved in the Casablanca Smart City project, this research contributes by studying complex and multi-stakeholder ecosystems. More specifically, this research identifies and analyses the role of external stakeholders at each stage of the innovation process, and the resulting dynamic knowledge flows that contribute to improving the urban crowdsourcing process in the development of Smart City solutions. Depending on the complexity of the innovation project, the results identify three main stakeholders (citizens, public authorities and private and public companies) and three secondary stakeholders (NGOs, universities, consulting firms). The results reveal when they intervene during the four stages of urban crowdsourcing. In addition, the results reveal a dynamic learning environment consisting of two streams of knowledge (‘learning with’ and ‘learning from’ stakeholders).

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Urban crowdsourcing is a new form of open innovation that aims to develop smart cities. Using a qualitative approach with experts involved in the Casablanca Smart City project, this research contributes by investigating complex multi-stakeholder ecosystems. More specifically, this study identifies and examines the role of external stakeholders at each stage of the innovation process, and the resulting dynamic knowledge flows that help improve the process of urban crowdsourcing in the development of smart city solutions. Depending on the complexity of the innovation project, findings identify three primary stakeholders (citizens, public authorities, and private and public firms) and three secondary stakeholders (NGOs, universities, consulting companies). Results show at which of the four steps of urban crowdsourcing they intervene. Furthermore, the findings reveal a dynamic learning environment composed of two knowledge flows (“learning with” and “learning from” stakeholders).
STEILS Nadia - IAE Lille |
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Research in health risk communication has shown the persuasive effectiveness of ultra-personalized fear calls using Virtual Future Self projection technologies, but the ethical acceptability of the use of these devices has not been examined. This article develops a characterization of the persuasive threat experience (history, components of the experience, consequences), it associates several criteria of ethical acceptability. A qualitative study of young adults analyses the ethical acceptability of the Future Virtual Obese Self to promote physical activity. Results are compared for four respondent profiles based on the stage of engagement in behavioural change and perceived a priori vulnerability to the risk in question. Theoretical contributions and results can serve as a basis for new health marketing research and contribute to good practices for using the Virtual Future Self as a persuasive threat device.
BERRICHE Amira - IAE Lille |
MARTIN-SALERNO Annabel - IAE Lille |
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Pitch for the FNEGE Prize for Best Thesis in 180 seconds AGRH Thesis Prize IAE of Lille Thesis directors: Julienne BRABET
MASSON Léna - IAE Lille |
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Research Question - The purpose of this study is to examine the role of two structural factors - the threat level of the health warning on the cigarette package and the size of the warning - as well as two contextual factors - repeated exposure and the plain package - on smokers' emotional and behavioral responses.
LACOSTE BADIE Sophie - IAE Lille |

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CAPELLI Sonia - iaelyon School of Management |
Due to the heterogeneous nature of the crowd in online crowdsourcing, one key question discussed by academics and practitionersiswhether participants are skilledenough to makevaluable contributions...
STEILS Nadia - IAE Lille |
Urban crowdsourcing is a new form of open innovation that aims to develop smart cities. Using a qualitative approach with experts involved in the Casablanca Smart City project, this research contributes by studying complex, multi-actor ecosystems...
STEILS Nadia - IAE Lille |

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