Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence
Recommender systems are in widespread use in many areas, especially electronic commerce solutions. In this contribution, we apply recommender functionalities to business process modeling and investigate their potential for supporting process modeling. To do so, we have implemented two prototypes, de...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2018-04-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/2122 |
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| _version_ | 1832542954117398528 |
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| author | Michael Fellmann Novica Zarvić Oliver Thomas |
| author_facet | Michael Fellmann Novica Zarvić Oliver Thomas |
| author_sort | Michael Fellmann |
| collection | DOAJ |
| description | Recommender systems are in widespread use in many areas, especially electronic commerce solutions. In this contribution, we apply recommender functionalities to business process modeling and investigate their potential for supporting process modeling. To do so, we have implemented two prototypes, demonstrated them at a major fair and collected user feedback. After analysis of the feedback, we have confronted the findings with the results of the experiment. Our results indicate that fairgoers expect increased modeling speed as the key advantage and completeness of models as the most unlikely advantage. This stands in contrast to an initial experiment revealing that modelers, in fact, increase the completeness of their models when adequate knowledge is presented while time consumption is not necessarily reduced. We explain possible causes of this mismatch and finally hypothesize on two “sweet spots” of process modeling recommender systems. |
| format | Article |
| id | doaj-art-53405d31fb384b899a57cc9bcbaa2abc |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2018-04-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-53405d31fb384b899a57cc9bcbaa2abc2025-02-03T12:03:21ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222018-04-01014647910.7250/csimq.2018-14.051148Business Processes Modeling Recommender Systems: User Expectations and Empirical EvidenceMichael Fellmann0Novica Zarvić1Oliver Thomas2Institute of Computer Science, University of Rostock, RostockInformation Management and Information Systems Group, Osnabrück University, OsnabrückInformation Management and Information Systems Group, Osnabrück University, OsnabrückRecommender systems are in widespread use in many areas, especially electronic commerce solutions. In this contribution, we apply recommender functionalities to business process modeling and investigate their potential for supporting process modeling. To do so, we have implemented two prototypes, demonstrated them at a major fair and collected user feedback. After analysis of the feedback, we have confronted the findings with the results of the experiment. Our results indicate that fairgoers expect increased modeling speed as the key advantage and completeness of models as the most unlikely advantage. This stands in contrast to an initial experiment revealing that modelers, in fact, increase the completeness of their models when adequate knowledge is presented while time consumption is not necessarily reduced. We explain possible causes of this mismatch and finally hypothesize on two “sweet spots” of process modeling recommender systems.https://csimq-journals.rtu.lv/article/view/2122Recommender systemsSemantic modelingProcess-Oriented information systemEmpirical evaluationExperiment |
| spellingShingle | Michael Fellmann Novica Zarvić Oliver Thomas Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence Complex Systems Informatics and Modeling Quarterly Recommender systems Semantic modeling Process-Oriented information system Empirical evaluation Experiment |
| title | Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence |
| title_full | Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence |
| title_fullStr | Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence |
| title_full_unstemmed | Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence |
| title_short | Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence |
| title_sort | business processes modeling recommender systems user expectations and empirical evidence |
| topic | Recommender systems Semantic modeling Process-Oriented information system Empirical evaluation Experiment |
| url | https://csimq-journals.rtu.lv/article/view/2122 |
| work_keys_str_mv | AT michaelfellmann businessprocessesmodelingrecommendersystemsuserexpectationsandempiricalevidence AT novicazarvic businessprocessesmodelingrecommendersystemsuserexpectationsandempiricalevidence AT oliverthomas businessprocessesmodelingrecommendersystemsuserexpectationsandempiricalevidence |