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Psychology and Marketing
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Psychology and Marketing
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Mapping the jungle: A bibliometric analysis of research into construal level theory

Authors: Susanne Adler; Marko Sarstedt;

Mapping the jungle: A bibliometric analysis of research into construal level theory

Abstract

AbstractConstrual level theory (CLT) offers a valuable framework to explain the mechanisms that trigger evaluations, predictions, and behaviors by linking the degree of mental abstraction (the construal level) to psychological distance. CLT‐related research has produced numerous publications in a variety of domains, impeding an ongoing overview of the research field and limiting its advancement. Addressing this concern, our paper presents the results of a comprehensive bibliometric analysis of CLT‐related research. This analysis identifies leading authors and the networks in which they operate. We find that a well‐connected, stable core of prominent authors predominantly shaped CLT research and was responsible for its expansion. In addition, we used topic modeling to identify latent topics and research trends, with the results showing that CLT research has expanded into more interdisciplinary and applied contexts. Specifically, although CLT's relevance for consumer research has amplified and applications in areas such as climate change and sustainability have surged, the classic areas of CLT research, such as planning fallacy and impulse control, have lost momentum. Building upon the results of our topic analysis, we identify future research paths and specifically call for a more comprehensive societal focus in CLT‐related research.

Country
Germany
Keywords

info:eu-repo/classification/ddc/330, 330, ddc:330, Topic analysis, Latent dirichlet allocation, Bibliometric analysis, Coauthorship, Construal level theory

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    85
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 1%
Top 10%
Top 1%
Green
hybrid