Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model

Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ<0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ<0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.

Authors

Institutions

Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-11-08
DOI
https://doi.org/10.1016/j.chbr.2024.100522
Citations
5
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model

Tamás Vinkóczi, Judit Petra Koltai, Izabella Mária Végvári, Martina Németh
5 citations
Computers in Human Behavior Reports
Consumer Retail Behavior Studies
2.19
article

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model

Tamás Vinkóczi, Judit Petra Koltai, Izabella Mária Végvári, Martina Németh
article en
5 citations

Abstract

Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ<0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ<0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.

Computers in Human Behavior ReportsVol. 16
Széchenyi István University (HU)
Openalex Percentile: Top 11%
Consumer Retail Behavior Studies
2.19
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.

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model — Tamás Vinkóczi, Judit Petra Koltai, et al. · Computers in Human Behavior Reports (2024) | TGRS Research Map | TGRS