Exploring the influence of travel Instagrammers on follower behavior: a heuristic-systematic model

Purpose The study aims to investigate the impact of heuristic cues (influencer homophily, interactivity and expertise) on the systematic cue (commercial content orientation) and their combined effect on follower behavior (willingness to seek additional information, and intention to visit the destination and buy the tourism product) during the pre-travel stage. Design/methodology/approach Using partial least squares structural equation modeling, it analyzes data from 621 Instagram users (Generations Y and Z), employing the heuristic-systematic model (HSM). Findings The results indicate that influencer interactivity significantly influences the systematic cue and follower behavior. Furthermore, attitude and background homophily are essential in enhancing perceptions of influencer interactivity, whereas value homophily positively impacts intention to visit and buy. Research limitations/implications The results are limited to influencers active on Instagram and followers from Generations Y and Z. Practical implications This study offers insights into selecting suitable influencers for endorsing tourism products and destinations. Originality/value By employing the HSM and an integrated approach, this research explores the additivity and bias effects of heuristic and systematic cues within influencer marketing in the tourism sector. It extends the literature by considering influencer homophily as a multidimensional concept and examines how influencer interactivity affects perceptions of other influencer characteristics.

Authors

Institutions

Publication Details

Journal
Consumer Behavior in Tourism and Hospitality
Published
2025-08-22
DOI
https://doi.org/10.1108/cbth-03-2024-0092
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the influence of travel Instagrammers on follower behavior: a heuristic-systematic model

Maria Amélia Machado Carvalho
1 citations
Consumer Behavior in Tourism and Hospitality
Digital Marketing and Social Media
4.20
article

Exploring the influence of travel Instagrammers on follower behavior: a heuristic-systematic model

Maria Amélia Machado Carvalho
article en
1 citations

Abstract

Purpose The study aims to investigate the impact of heuristic cues (influencer homophily, interactivity and expertise) on the systematic cue (commercial content orientation) and their combined effect on follower behavior (willingness to seek additional information, and intention to visit the destination and buy the tourism product) during the pre-travel stage. Design/methodology/approach Using partial least squares structural equation modeling, it analyzes data from 621 Instagram users (Generations Y and Z), employing the heuristic-systematic model (HSM). Findings The results indicate that influencer interactivity significantly influences the systematic cue and follower behavior. Furthermore, attitude and background homophily are essential in enhancing perceptions of influencer interactivity, whereas value homophily positively impacts intention to visit and buy. Research limitations/implications The results are limited to influencers active on Instagram and followers from Generations Y and Z. Practical implications This study offers insights into selecting suitable influencers for endorsing tourism products and destinations. Originality/value By employing the HSM and an integrated approach, this research explores the additivity and bias effects of heuristic and systematic cues within influencer marketing in the tourism sector. It extends the literature by considering influencer homophily as a multidimensional concept and examines how influencer interactivity affects perceptions of other influencer characteristics.

Consumer Behavior in Tourism and HospitalityVol. 20(4)
Universidade Estadual do Oeste do Paraná (BR)
Openalex Percentile: Top 6%
Digital Marketing and Social Media
4.20
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.

Exploring the influence of travel Instagrammers on follower behavior: a heuristic-systematic model — Maria Amélia Machado Carvalho · Consumer Behavior in Tourism and Hospitality (2025) | TGRS Research Map | TGRS