A Computational Social Science Framework For Visualizing the Possibility Space of Consumer-Object Assemblages From Iot Interaction Data
We develop a computational science approach for understanding consumer experience from IoT interactions that is anchored using assemblage theory. Our approach operationalizes the concept of an assemblage’s underlying topological space of possibilities. We analyze structured IoT discourse data to reveal the realized possibility space of consumer-object interactions.
Donna Hoffman and Thomas Novak (2018) ,"A Computational Social Science Framework For Visualizing the Possibility Space of Consumer-Object Assemblages From Iot Interaction Data", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 33-38.
Donna Hoffman, George Washington University, USA
Thomas Novak, George Washington University, USA
NA - Advances in Consumer Research Volume 46 | 2018
L12. Should I Stay or Should I Go: When Our Companies Have Eyes for Other Consumers
Na Ri Yoon, Indiana University, USA
Jenny Olson, Indiana University, USA
Adam Duhachek, Indiana University, USA
Q10. Social Media Agency: Exploring the Role of Social Media Structures in Shaping Consumers’ Identity Projects
Gabrielle Patry-Beaudoin, Queens University, Canada
Jay Handelman, Queens University, Canada
Placing Identity into the Self-Concept: The Role of Causal Beliefs in Identity-Based Consumption
Stephanie Chen, London Business School, UK
Oleg Urminsky, University of Chicago, USA