Journal article
Choices in networks: a research framework
Marketing letters, v 31(4), pp 349-359
01 Dec 2020
Abstract
Networks are ubiquitous in life, structuring options available for choice and influencing their relative attractiveness. In this article, we propose an integration of network science and choice theory beyond merely incorporating metrics from one area into models of the other. We posit a typology and framework for "network-choice models" that highlight the distinct ways choices occur in and influence networked environments, as well as two specific feedback processes that guide their mutual interaction,emergent valuationandcontingent options. In so doing, we discuss examples, data sources, methodological challenges, anticipated benefits, and research pathways to fully interweave network and choice models.
Metrics
Details
- Title
- Choices in networks: a research framework
- Creators
- Fred Feinberg - University of Michigan–Ann ArborElizabeth Bruch - University of Michigan–Ann ArborMichael Braun - Southern Methodist UniversityBrett Hemenway Falk - Univ Penn, Comp & Informat Sci, Philadelphia, PA 19104 USANina Fefferman - University of Tennessee at KnoxvilleElea McDonnell Feit - Drexel UniversityJohn Helveston - George Washington UniversityDaniel Larremore - University of Colorado BoulderBlakeley B. McShane - Northwestern UniversityAlice Patania - Indiana UniversityMario L. Small - Harvard University
- Publication Details
- Marketing letters, v 31(4), pp 349-359
- Publisher
- Springer Nature
- Number of pages
- 11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Marketing
- Web of Science ID
- WOS:000574731800002
- Scopus ID
- 2-s2.0-85091846852
- Other Identifier
- 991019189207504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Business