Online vásárlási- és elektronikus fizetési szokások feltérképezése UTAUT modellel – szakirodalmi áttekintés

The literature identifies several theories and frameworks for assessing user acceptance and adoption of new technologies, of which the TAM (Technology Acceptance Model) and its extensions, and the UTAUT (Unified Theory of Acceptance and Use of Technology) are the most popular. Several studies confirm that the UTAUT model has proven to be effective in investigating the causal relationships between behavioral intentions. In the literature review, we aimed to explore, alongside specific parameters, which dependent and independent variables are relevant to investigate individuals' attitudes towards online shopping and electronic payments. In addition, we aimed to explore how the basic UTAUT model could be complemented to increase the effectiveness of the study. By acquiring the relevant literature background, we laid the foundation for the implementation of our primary research, which aims to map the online shopping and electronic payment behavior of university students using the UTAUT model. The literature review concluded that the variables of the basic UTAUT model should be extended to include perceived trust and risk, as well as service quality and awareness. If users believe that a technology will improve their performance, they are more likely to adopt and use it. Individuals are more likely to adopt a new technology if it is easy to use. This is determined by user interfaces, user-friendliness, the complexity of the tasks required to use the technology, and the perceived ease of interaction. The way in which individuals relate to a new technology or system is also influenced by the social circles in which they participate.

Authors

Institutions

Publication Details

Journal
Economica
Published
2024-12-31
DOI
https://doi.org/10.47282/economica/2024/15/3-4/14231
Citations
1
Primary Topic
Hungarian Social, Economic and Educational Studies
Type
article
Field-Weighted Citation Impact
1.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Online vásárlási- és elektronikus fizetési szokások feltérképezése UTAUT modellel – szakirodalmi áttekintés

Edina Piros, András Fehér
1 citations
Economica
Hungarian Social, Economic and Educational Studies
1.96
article

Online vásárlási- és elektronikus fizetési szokások feltérképezése UTAUT modellel – szakirodalmi áttekintés

Edina Piros, András Fehér
article en
1 citations

Abstract

The literature identifies several theories and frameworks for assessing user acceptance and adoption of new technologies, of which the TAM (Technology Acceptance Model) and its extensions, and the UTAUT (Unified Theory of Acceptance and Use of Technology) are the most popular. Several studies confirm that the UTAUT model has proven to be effective in investigating the causal relationships between behavioral intentions. In the literature review, we aimed to explore, alongside specific parameters, which dependent and independent variables are relevant to investigate individuals' attitudes towards online shopping and electronic payments. In addition, we aimed to explore how the basic UTAUT model could be complemented to increase the effectiveness of the study. By acquiring the relevant literature background, we laid the foundation for the implementation of our primary research, which aims to map the online shopping and electronic payment behavior of university students using the UTAUT model. The literature review concluded that the variables of the basic UTAUT model should be extended to include perceived trust and risk, as well as service quality and awareness. If users believe that a technology will improve their performance, they are more likely to adopt and use it. Individuals are more likely to adopt a new technology if it is easy to use. This is determined by user interfaces, user-friendliness, the complexity of the tasks required to use the technology, and the perceived ease of interaction. The way in which individuals relate to a new technology or system is also influenced by the social circles in which they participate.

EconomicaVol. 15(3-4)
University of Debrecen (HU)
Openalex Percentile: Top 9%
Hungarian Social, Economic and Educational Studies
1.96
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.