The role of perceived risk in the behavioral intention to use and accept algorithm-based news aggregators
(2020) SKDK11 20201Department of Strategic Communication
- Abstract
- The purpose of this research was to examine whether the opportunities or the risks are most significant for consumers when they are using algorithm-based news aggregators, this was accomplished by using an expanded Unified Theory of Acceptance and Use of Technology 2 model (UTAUT2). In addition to examining the significance of the original UTAUT2 parameters, we sought to reveal if our additional parameter - perceived risk - was significant for the use and acceptance of news aggregators. We collected empirical data using an online survey, this resulted in 117 usable responses from people who currently use news aggregators. We conducted a multiple regression analysis with the collected data as well as two reliability tests. The findings of... (More)
- The purpose of this research was to examine whether the opportunities or the risks are most significant for consumers when they are using algorithm-based news aggregators, this was accomplished by using an expanded Unified Theory of Acceptance and Use of Technology 2 model (UTAUT2). In addition to examining the significance of the original UTAUT2 parameters, we sought to reveal if our additional parameter - perceived risk - was significant for the use and acceptance of news aggregators. We collected empirical data using an online survey, this resulted in 117 usable responses from people who currently use news aggregators. We conducted a multiple regression analysis with the collected data as well as two reliability tests. The findings of the multiple regression analysis indicated that habit had the most significant influence on the behavioral intention to use and accept algorithm-based news aggregators, followed by effort expectancy, facilitating conditions, and performance expectancy. Further, we found that our additional category perceived risk did not show a significant influence on the behavioral intention. The data of our sample further showed an indication of unawareness concerning the risks related to algorithm-based news aggregators. Our findings have the opportunity to expand the existing literature as well as interest in the subject of news aggregators from a consumer perspective. (Less)
- Popular Abstract (Swedish)
- Syftet med den här studien var att undersöka huruvida det är fördelarna eller riskerna som är mest signifikanta för konsumenter vid användandet och acceptansen av algoritm-baserade nyhetsappar, vi åstadkom detta genom att använda oss av en expanderad Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) modell. Utöver att undersöka signifikansen av de originella UTAUT2 kategorierna, avsedde vi att undersöka om den upplevda risken med nyhetsappar har någon påverkan på intentionen att fortsätta använda och acceptera nyhetsappar. Vi samlade in empiri med hjälp av en internetbaserad enkät som resulterade i 117 användbara svar från personer som använder nyhetsappar i dagsläget. Vi utförde en multipel regressionsanalys med den insamlade... (More)
- Syftet med den här studien var att undersöka huruvida det är fördelarna eller riskerna som är mest signifikanta för konsumenter vid användandet och acceptansen av algoritm-baserade nyhetsappar, vi åstadkom detta genom att använda oss av en expanderad Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) modell. Utöver att undersöka signifikansen av de originella UTAUT2 kategorierna, avsedde vi att undersöka om den upplevda risken med nyhetsappar har någon påverkan på intentionen att fortsätta använda och acceptera nyhetsappar. Vi samlade in empiri med hjälp av en internetbaserad enkät som resulterade i 117 användbara svar från personer som använder nyhetsappar i dagsläget. Vi utförde en multipel regressionsanalys med den insamlade datan, utöver regressionsanalysen utförde vi även två reliabilitetstest. Vårt resultat från regressionsanalysen indikerade att habit (vanan) hade starkast signifikans för intentionen att använda och acceptera algoritm-baserade nyhetsappar följt av effort expectancy (enkelheten), facilitating conditions (system support) och performance expectancy (förväntade möjligheter). Vi fann dessutom att vår adderade kategori perceived risk (upplevd risk) inte var signifikant för användningen och acceptansen av nyhetsappar. Utöver vår hypotesprövning fann vi att det finns kunskapsbrist gällande vilka risker som finns med algoritm-baserade nyhetsappar. Vårt resultat har möjligheten att bidra till befintlig forskning och ytterligare intresse kring algoritm-baserade nyhetsappar från ett konsumentperspektiv. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9014809
- author
- Corell, Rebecka LU and Horn, Kajsa
- supervisor
- organization
- alternative title
- A quantitative study using an expanded UTAUT2 model
- course
- SKDK11 20201
- year
- 2020
- type
- M2 - Bachelor Degree
- subject
- keywords
- news aggregators, algorithms, UTAUT2, multiple regression, perceived risks, filter bubbles, democracy, risk communication
- language
- English
- id
- 9014809
- date added to LUP
- 2020-06-15 09:30:00
- date last changed
- 2020-06-15 09:30:00
@misc{9014809,
abstract = {{The purpose of this research was to examine whether the opportunities or the risks are most significant for consumers when they are using algorithm-based news aggregators, this was accomplished by using an expanded Unified Theory of Acceptance and Use of Technology 2 model (UTAUT2). In addition to examining the significance of the original UTAUT2 parameters, we sought to reveal if our additional parameter - perceived risk - was significant for the use and acceptance of news aggregators. We collected empirical data using an online survey, this resulted in 117 usable responses from people who currently use news aggregators. We conducted a multiple regression analysis with the collected data as well as two reliability tests. The findings of the multiple regression analysis indicated that habit had the most significant influence on the behavioral intention to use and accept algorithm-based news aggregators, followed by effort expectancy, facilitating conditions, and performance expectancy. Further, we found that our additional category perceived risk did not show a significant influence on the behavioral intention. The data of our sample further showed an indication of unawareness concerning the risks related to algorithm-based news aggregators. Our findings have the opportunity to expand the existing literature as well as interest in the subject of news aggregators from a consumer perspective.}},
author = {{Corell, Rebecka and Horn, Kajsa}},
language = {{eng}},
note = {{Student Paper}},
title = {{The role of perceived risk in the behavioral intention to use and accept algorithm-based news aggregators}},
year = {{2020}},
}