INFLUENCER MARKETING MANAGEMENT IN ADVERTISING ACTIVITIES: BUSINESS PROCESSES, PERFORMANCE EVALUATION, AND RISK MANAGEMENT

Abstract: Amid rapid digitalization and media consumption fragmentation, influencer marketing is transforming from an occasional communication tool into a strategic stream of an enterprise's advertising activities. The aim of this research is to substantiate the theoretical and methodological foundations and develop practical recommendations for building effective influencer marketing management through business process regulation, systematic performance evaluation, and the mitigation of reputational and operational risks. The study employs a combination of general scientific and specialized methods, including systems and process approaches, analysis and synthesis, comparative analysis, matrix modeling, and analytical methods. The paper systematizes the key stages of the influencer marketing management cycle, develops a multi-tiered performance indicator framework (KPIs/ROAS), and proposes a comprehensive risk management mechanism for interacting with creators. It is demonstrated that systematic business process regulation combined with automated search and analytical procedures ensures higher return on marketing investments and protects company's brand equity. Keywords: influencer marketing management, business processes, influencers, performance evaluation, KPIs, risk management, reputational risks, advertising integrations.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-04
DOI
https://doi.org/10.5281/zenodo.23942058
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INFLUENCER MARKETING MANAGEMENT IN ADVERTISING ACTIVITIES: BUSINESS PROCESSES, PERFORMANCE EVALUATION, AND RISK MANAGEMENT

Anastasiia Haichenko
Zenodo (CERN European Organization for Nuclear Research)
Digital Marketing and Social Media
article

INFLUENCER MARKETING MANAGEMENT IN ADVERTISING ACTIVITIES: BUSINESS PROCESSES, PERFORMANCE EVALUATION, AND RISK MANAGEMENT

Anastasiia Haichenko
article en

Abstract

Abstract: Amid rapid digitalization and media consumption fragmentation, influencer marketing is transforming from an occasional communication tool into a strategic stream of an enterprise's advertising activities. The aim of this research is to substantiate the theoretical and methodological foundations and develop practical recommendations for building effective influencer marketing management through business process regulation, systematic performance evaluation, and the mitigation of reputational and operational risks. The study employs a combination of general scientific and specialized methods, including systems and process approaches, analysis and synthesis, comparative analysis, matrix modeling, and analytical methods. The paper systematizes the key stages of the influencer marketing management cycle, develops a multi-tiered performance indicator framework (KPIs/ROAS), and proposes a comprehensive risk management mechanism for interacting with creators. It is demonstrated that systematic business process regulation combined with automated search and analytical procedures ensures higher return on marketing investments and protects company's brand equity. Keywords: influencer marketing management, business processes, influencers, performance evaluation, KPIs, risk management, reputational risks, advertising integrations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Digital Marketing and Social Media
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.

Laika access coming soon