Measuring the Success of Recommender Systems: A PLS-SEM Approach
Recommender systems, which suggest relevant products to internet users, have become an integral part of our daily lives. The factors responsible for their success from the different stakeholder perspectives, however, have never been thoroughly investigated. This study proposes a novel model for meas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9734033/ |
| _version_ | 1811322533673172992 |
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| author | Maximilian Gotthardt Vitaliy Mezhuyev |
| author_facet | Maximilian Gotthardt Vitaliy Mezhuyev |
| author_sort | Maximilian Gotthardt |
| collection | DOAJ |
| description | Recommender systems, which suggest relevant products to internet users, have become an integral part of our daily lives. The factors responsible for their success from the different stakeholder perspectives, however, have never been thoroughly investigated. This study proposes a novel model for measuring the success of recommender systems that consolidates different success factors. The model is a modified version of the DeLone and McLean Information Systems Success Model with trust as an additional latent variable. The model was evaluated in an empirical study with PLS-SEM. The proposed model exhibits a high predictive power and all structural paths were significant. The integration of trust is an important contribution as the path between information quality and trust yielded the highest path coefficient. The proposed model can be used by recommendation system providers to explain and predict the successful use of the systems and to improve business processes. |
| first_indexed | 2024-04-13T13:36:45Z |
| format | Article |
| id | doaj.art-488b13c304134cb49093658f8cc9292c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T13:36:45Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-488b13c304134cb49093658f8cc9292c2022-12-22T02:44:45ZengIEEEIEEE Access2169-35362022-01-0110306103062310.1109/ACCESS.2022.31596529734033Measuring the Success of Recommender Systems: A PLS-SEM ApproachMaximilian Gotthardt0Vitaliy Mezhuyev1https://orcid.org/0000-0002-9335-6131Institute of Industrial Management, FH Joanneum University of Applied Sciences, Kapfenberg, AustriaInstitute of Industrial Management, FH Joanneum University of Applied Sciences, Kapfenberg, AustriaRecommender systems, which suggest relevant products to internet users, have become an integral part of our daily lives. The factors responsible for their success from the different stakeholder perspectives, however, have never been thoroughly investigated. This study proposes a novel model for measuring the success of recommender systems that consolidates different success factors. The model is a modified version of the DeLone and McLean Information Systems Success Model with trust as an additional latent variable. The model was evaluated in an empirical study with PLS-SEM. The proposed model exhibits a high predictive power and all structural paths were significant. The integration of trust is an important contribution as the path between information quality and trust yielded the highest path coefficient. The proposed model can be used by recommendation system providers to explain and predict the successful use of the systems and to improve business processes.https://ieeexplore.ieee.org/document/9734033/Information systems success modelPLS-SEMrecommender systemssuccess factors |
| spellingShingle | Maximilian Gotthardt Vitaliy Mezhuyev Measuring the Success of Recommender Systems: A PLS-SEM Approach IEEE Access Information systems success model PLS-SEM recommender systems success factors |
| title | Measuring the Success of Recommender Systems: A PLS-SEM Approach |
| title_full | Measuring the Success of Recommender Systems: A PLS-SEM Approach |
| title_fullStr | Measuring the Success of Recommender Systems: A PLS-SEM Approach |
| title_full_unstemmed | Measuring the Success of Recommender Systems: A PLS-SEM Approach |
| title_short | Measuring the Success of Recommender Systems: A PLS-SEM Approach |
| title_sort | measuring the success of recommender systems a pls sem approach |
| topic | Information systems success model PLS-SEM recommender systems success factors |
| url | https://ieeexplore.ieee.org/document/9734033/ |
| work_keys_str_mv | AT maximiliangotthardt measuringthesuccessofrecommendersystemsaplssemapproach AT vitaliymezhuyev measuringthesuccessofrecommendersystemsaplssemapproach |