Information-Enabled Marketing Efficiency and Financial Performance in Centralized Finance (CeFi)—An International Study

This study examines the statistical associations between commercialization-related cost structures and financial outcomes on revenue growth, profitability, and scale within a centralized financial system. We estimate four OLS models (M1–M4) using aggregated annual data from 2020 to 2025 and enhance our analysis with a fuzzy cognitive map (FCM) scenario assessment. The findings demonstrate that revenue growth correlates positively with both SG&A growth and commercialization efficiency (revenue per unit of SG&A); however, SG&A intensity exhibits a negative relationship with net margins. Logarithmic estimations indicate a robust co-scaling between operational expenses and revenues, implying growth driven by capacity rather than operating leverage. Lagged analysis also reveals an intertemporal trade-off, wherein phases of accelerated SG&A expansion are succeeded by diminished subsequent growth. The findings underscore the necessity of differentiating between commercialization intensity and efficiency, and advise against viewing SG&A growth as a consistent alignment of financial performance.

Authors

Institutions

Publication Details

Journal
Information
Published
2026-03-11
DOI
https://doi.org/10.3390/info17030280
Primary Topic
Cognitive Science and Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information-Enabled Marketing Efficiency and Financial Performance in Centralized Finance (CeFi)—An International Study

Kanellos Toudas, Dimitrios P. Reklitis, Nikolaos T. Giannakopoulos, Marina C. Terzi et al.
Information
Cognitive Science and Mapping
article

Information-Enabled Marketing Efficiency and Financial Performance in Centralized Finance (CeFi)—An International Study

Kanellos Toudas, Dimitrios P. Reklitis, Nikolaos T. Giannakopoulos, Marina C. Terzi, Damianos P. Sakas, Apostolos G. Christopoulos
article en

Abstract

This study examines the statistical associations between commercialization-related cost structures and financial outcomes on revenue growth, profitability, and scale within a centralized financial system. We estimate four OLS models (M1–M4) using aggregated annual data from 2020 to 2025 and enhance our analysis with a fuzzy cognitive map (FCM) scenario assessment. The findings demonstrate that revenue growth correlates positively with both SG&A growth and commercialization efficiency (revenue per unit of SG&A); however, SG&A intensity exhibits a negative relationship with net margins. Logarithmic estimations indicate a robust co-scaling between operational expenses and revenues, implying growth driven by capacity rather than operating leverage. Lagged analysis also reveals an intertemporal trade-off, wherein phases of accelerated SG&A expansion are succeeded by diminished subsequent growth. The findings underscore the necessity of differentiating between commercialization intensity and efficiency, and advise against viewing SG&A growth as a consistent alignment of financial performance.

InformationVol. 17(3)
Alexandra Hospital (GR), Athens University of Economics and Business (GR), University of the Aegean (GR)
Openalex Percentile: Top 28%
Cognitive Science and Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.