Abstract
AbstractResearch on context effects shows that the composition of choice sets and choice framing strongly influences consumer decision-making. Researchers have identified various context effect types and provide insight into their antecedents, consequences, and mechanisms of action. However, the research on context effects is spread across several fields, making it difficult to grasp the entire scope. Reviews focusing on specific effect types can facilitate rigorous research and publication practices, but they focus primarily on prominent context effects, neglecting others. Furthermore, those reviews do not provide insight into the structure of scholarly networks that result from research collaborations and shape, generate, distribute, and preserve the intellectual knowledge of the context effect domain. Addressing these issues, we present a large-scale bibliometric analysis of the field, that helps navigate the context effect landscape, highlights its themes, and identifies knowledge gaps. An interactive web application also allows for our analyses to be customized and extended.
Funder
Ludwig-Maximilians-Universität München
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,Business and International Management
Reference150 articles.
1. Aaker J (1991) The negative attraction effect? A study of the attraction effect under judgment and choice. ACR North American Advances, NA-18. https://www.acrwebsite.org/volumes/7202/volumes/v18/NA-18
2. Adam M, Wessel M, Benlian A (2019) Of early birds and phantoms: how sold-out discounts impact entrepreneurial success in reward-based crowdfunding. RMS 13(3):545–560. https://doi.org/10.1007/s11846-018-0311-2
3. Adler S, Sarstedt M (2021) Mapping the jungle: a bibliometric analysis of research into construal level theory. Psychol Mark 38(9):1367–1383. https://doi.org/10.1002/mar.21537
4. Allaire JJ (2022) quarto: R interface to ’quarto’ markdown publishing system. https://CRAN.R-project.org/package=quarto
5. Almende BV, Thieurmel B, Robert T (2019) visNetwork: network visualization using ’vis.js’ library. https://CRAN.R-project.org/package=visNetwork
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