bachelor_thesis/02_Proposal/proposal.bib

@article{hevnerDesignScienceInformation2004,
  langid = {english},
  title = {Design {{Science}} in {{Information Systems Research}}},
  volume = {28},
  number = {1},
  journaltitle = {MIS Quaterly},
  date = {2004},
  pages = {75-105},
  author = {Hevner, Alan and March, Salvatore T. and Park, Jinsoo and Ram, Sudha},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\WJHPP9MZ\\Hevner et al. - 2004 - Design Science in Information Systems Research.pdf}
}

@article{winterInterviewMitAlan2009,
  langid = {german},
  title = {Interview mit Alan R. Hevner zum Thema „Design Science“},
  volume = {51},
  issn = {0937-6429, 1861-8936},
  url = {http://link.springer.com/10.1007/s11576-008-0109-y},
  doi = {10.1007/s11576-008-0109-y},
  number = {1},
  journaltitle = {WIRTSCHAFTSINFORMATIK},
  shortjournal = {Wirtsch. Inform.},
  urldate = {2019-10-04},
  date = {2009-02},
  pages = {148-151},
  author = {Winter, Robert},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\FZ8VR2JX\\Winter - 2009 - Interview mit Alan R. Hevner zum Thema „Design Sci.pdf}
}

@inproceedings{offermannOutlineDesignScience2009,
  langid = {english},
  location = {{Philadelphia, Pennsylvania}},
  title = {Outline of a Design Science Research Process},
  isbn = {978-1-60558-408-9},
  abstract = {Discussions about the body of knowledge of information systems, including the research domain, relevant perspectives and methods have been going on for a long time. Many researchers vote for a combination of research perspectives and their respective research methodologies; rigour and relevance as requirements in design science are generally accepted. What has been lacking is a formalisation of a detailed research process for design science that takes into account all requirements. We have developed such a research process, building on top of existing processes and findings from design research. The process combines qualitative and quantitative research and references well-known research methods. Publication possibilities and self-contained work packages are recommended. Case studies using the process are presented and discussed.},
  eventtitle = {The 4th {{International Conference}}},
  booktitle = {Proceedings of the 4th {{International Conference}} on {{Design Science Research}} in {{Information Systems}} and {{Technology}} - {{DESRIST}} '09},
  publisher = {{ACM Press}},
  date = {2009},
  pages = {1},
  author = {Offermann, Philipp and Levina, Olga and Schönherr, Marten and Bub, Udo},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\8BE6HMR6\\Offermann et al. - 2009 - Outline of a design science research process.pdf}
}

@article{hevnerRolesDigitalInnovation2019,
  langid = {english},
  title = {Roles of {{Digital Innovation}} in {{Design Science Research}}},
  volume = {61},
  issn = {2363-7005, 1867-0202},
  url = {http://link.springer.com/10.1007/s12599-018-0571-z},
  doi = {10.1007/s12599-018-0571-z},
  number = {1},
  journaltitle = {Business \& Information Systems Engineering},
  shortjournal = {Bus Inf Syst Eng},
  urldate = {2019-10-04},
  date = {2019-02},
  pages = {3-8},
  author = {Hevner, Alan and vom Brocke, Jan and Maedche, Alexander},
  options = {useprefix=true},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\6AE5NV89\\Hevner et al. - 2019 - Roles of Digital Innovation in Design Science Rese.pdf}
}

@article{peffersDesignScienceResearch2007,
  langid = {english},
  title = {A {{Design Science Research Methodology}} for {{Information Systems Research}}},
  volume = {24},
  issn = {0742-1222, 1557-928X},
  abstract = {The paper motivates, presents, demonstrates in use, and evaluates a methodology for conducting design science (DS) research in information systems (IS). DS is of importance in a discipline oriented to the creation of successful artifacts. Several researchers have pioneered DS research in IS, yet over the past 15 years, little DS research has been done within the discipline. The lack of a methodology to serve as a commonly accepted framework for DS research and of a template for its presentation may have contributed to its slow adoption. The design science research methodology (DSRM) presented here incorporates principles, practices, and procedures required to carry out such research and meets three objectives: it is consistent with prior literature, it provides a nominal process model for doing DS research, and it provides a mental model for presenting and evaluating DS research in IS. The DS process includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication. We demonstrate and evaluate the methodology by presenting four case studies in terms of the DSRM, including cases that present the design of a database to support health assessment methods, a software reuse measure, an Internet video telephony application, and an IS planning method. The designed methodology effectively satisfies the three objectives and has the potential to help aid the acceptance of DS research in the IS discipline.},
  number = {3},
  journaltitle = {Journal of Management Information Systems},
  shortjournal = {Journal of Management Information Systems},
  date = {2007-12},
  pages = {45-77},
  author = {Peffers, Ken and Tuunanen, Tuure and Rothenberger, Marcus A. and Chatterjee, Samir},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\7A9P9P9J\\Peffers et al. - 2007 - A Design Science Research Methodology for Informat.pdf}
}

@article{hoangthuanConstructionDesignScience2019,
  langid = {english},
  title = {Construction of {{Design Science Research Questions}}},
  issn = {15293181},
  url = {https://aisel.aisnet.org/cais/vol44/iss1/20},
  doi = {10.17705/1CAIS.04420},
  abstract = {Posing research questions is a fundamental step to guide and direct knowledge development in research. In design science research (DSR), research questions are important to define the scope and the modes of inquiry, characterize the artifacts, and communicate the contributions. Despite the importance of research questions, there are few guidelines on how to construct suitable DSR research questions. We fill this gap by exploring ways of constructing DSR research questions and analyzing the research questions in a sample of 104 DSR publications. The results show that about two thirds of the analyzed DSR publications actually use research questions to link their problem statements to research approaches and that most of the questions are aimed at problem-solving. Based on our analysis, we derive a typology of DSR question formulation to provide guidelines and patterns that help researchers formulate research questions during their DSR projects’ duration.},
  journaltitle = {Communications of the Association for Information Systems},
  shortjournal = {CAIS},
  urldate = {2019-10-04},
  date = {2019},
  pages = {332-363},
  author = {Hoang Thuan, Nguyen and Drechsler, Andreas and Antunes, Pedro},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\B7J5BEGT\\Hoang Thuan et al. - 2019 - Construction of Design Science Research Questions.pdf}
}

@thesis{raabKollaborativeProduktkonfigurationEchtzeit2019,
  langid = {german},
  location = {{Karlsruhe}},
  title = {Kollaborative Produktkonfiguration in Echtzeit},
  pagetotal = {83},
  institution = {{Hochschule Karlsruhe}},
  type = {Masterthesis},
  date = {2019-09-30},
  author = {Raab, Fabian},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\PPAL2KE6\\Raab - 2019 - Kollaborative Produktkonfiguration in Echtzeit.pdf}
}

@collection{felfernigKnowledgebasedConfigurationResearch2014,
  langid = {english},
  location = {{Amsterdam}},
  title = {Knowledge-Based Configuration: From Research to Business Cases},
  isbn = {978-0-12-415817-7},
  shorttitle = {Knowledge-Based Configuration},
  publisher = {{Elsevier/MK, Morgan Kaufmann}},
  date = {2014},
  editor = {Felfernig, Alexander and Hotz, Lothar and Bagley, Claire and Tiihonen, Juha},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\77SR5PQW\\Felfernig et al. - 2014 - Knowledge-based configuration from research to bu.pdf},
  note = {OCLC: 915548311}
}

@article{mendoncaCollaborativeProductConfiguration2008,
  langid = {english},
  title = {Collaborative {{Product Configuration}}:},
  volume = {3},
  abstract = {In the Software Product Line approach, product configuration is a key activity in which stakeholders choose features for a product. This activity is critical in the sense that careless feature selections might lead to undesirable products. Even though product configuration is seen as a team activity in which divergent interests and views are merged into a single consistent product specification, current configuration technology is essentially single-userbased. This configuration approach can be error-prone and time-consuming as it usually requires numerous interactions between the product manager and the stakeholders to resolve decision conflicts. To tackle this problem we have proposed an approach called “Collaborative Product Configuration” (CPC). In this paper, we extend the CPC approach by providing efficient dependency analysis algorithms to support the validation of workflow-based descriptions called CPC plans. In addition, we add to previous work by providing a formal description of the approach’s concepts, an augmented illustrated example, and a discussion covering several prototype tools now available.},
  number = {2},
  journaltitle = {Journal of Software},
  date = {2008},
  pages = {69},
  author = {Mendonça, Marcílio and Cowan, Donald and Malyk, William and Oliveira, Toacy},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\RWRMVBZ2\\Mendonça et al. - 2008 - Collaborative Product Configuration.pdf}
}

@inproceedings{felfernigOpenConfiguration2014,
  langid = {english},
  title = {Towards {{Open Configuration}}},
  abstract = {Configuration technologies are typically applied in closed settings where one (or a small group of) knowledge engineer(s) is in charge of knowledge base development and maintenance. In such settings it is also assumed that only single users configure the corresponding products and services. Nowadays, a couple of scenarios exist that require more openness: it should be possible to cooperatively develop knowledge bases and to jointly configure products and services, even by adding new features or constraints in a flexible fashion. We denote this integration of groups of users into configuration-related tasks as open configuration. In this paper we introduce features of open configuration environments and potential approaches to implement these features.},
  eventtitle = {Configuration {{Workshop}}},
  date = {2014},
  pages = {89-94},
  author = {Felfernig, Alexander and Stettinger, Martin and Ninaus, Gerald and Jeran, Michael and Reiterer, Stefan and Falkner, Andreas and Leitner, Gerhard and Tiihonen, Juha},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\KA3YWQCN\\Felfernig et al. - 2014 - Towards Open Configuration.pdf}
}

@inproceedings{felfernigGroupDecisionSupport2011,
  langid = {english},
  title = {Group {{Decision Support}} for {{Requirements Negotiation}}},
  abstract = {Requirements engineering is one of the most critical phases in software development. Requirements verbalize decision alternatives that are negotiated by stakeholders. In this paper we present the results of an empirical analysis of the effects of applying group recommendation technologies to requirements negotiation. This analysis has been conducted within the scope of software development projects at our university where development teams were supported with group recommendation technologies when deciding which requirements should be implemented. A major result of the study is that group recommendation technologies can improve the perceived usability (in certain cases) and the perceived quality of decision support. Furthermore, it is not recommended to disclose preferences of individual group members at the beginning of a decision process – this could lead to an insufficient exchange of decision-relevant information.},
  eventtitle = {International {{Conference}} on {{User Modeling}}, {{Adaptation}}, and {{Personalization}}},
  date = {2011},
  pages = {105-116},
  author = {Felfernig, Alexander and Zehentner, Christoph and Ninaus, Gerald and Grabner, Harald and Maalej, Walid and Pagano, Dennis and Weninger, Leopold and Reinfrank, Florian},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\H3ESBD4X\\Felfernig et al. - 2011 - Group Decision Support for Requirements Negotiatio.pdf}
}

@inproceedings{velasquez-guevaraMultiSPLOTSupportingMultiuser2018,
  langid = {english},
  location = {{Cham}},
  title = {Multi-{{SPLOT}}: {{Supporting Multi}}-User {{Configurations}} with {{Constraint Programming}}},
  volume = {942},
  isbn = {978-3-030-01535-0 978-3-030-01534-3},
  shorttitle = {Applied Informatics},
  series = {Communications in Computer and Information Science},
  publisher = {{Springer}},
  date = {2018},
  pages = {364-378},
  author = {Velásquez-Guevara, Sebastian and Pedraza, Gilberto and Chavarriaga, Jaime},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\5TSAW84B\\ICAI - 2018 - Applied informatics First International Conferenc.pdf}
}

@inproceedings{velasquez-guevaraMultiSPLOTSupportingMultiuser2018a,
  langid = {english},
  title = {Multi-{{SPLOT}}: {{Supporting Multi}}-User {{Configurations}} with {{Constraint Programming}}},
  isbn = {978-3-030-01535-0},
  shorttitle = {Multi-{{SPLOT}}},
  abstract = {Nowadays, companies have moved from offering a single product for all their clients, to offer different customized for each one. These companies provide Configuration Systems where a user can decide and discard which features she wants in her final product. However, although almost all of these systems support individual decisions, usually they do not offer an special support for decisions made by multiple users for the same product. This paper introduces Multi-SPLOT, a web-based Configuration System that supports simultaneous decisions from multiple users. This system uses off-the-shelf solvers to determine if these decisions are not conflicting among them, and to propose solutions when the decisions of an user conflict with decisions of the others. This paper shows the design of the solution and details of its implementation using Angular, Firebase and the optimization library in Google App Script.},
  booktitle = {Applied {{Informatics}}},
  series = {Communications in {{Computer}} and {{Information Science}}},
  publisher = {{Springer International Publishing}},
  date = {2018},
  pages = {364-378},
  keywords = {Configuration systems,Feature models,Multi-user configuration},
  author = {Velásquez-Guevara, Sebastian and Pedraza, Gilberto and Chavarriaga, Jaime},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\G8E3GLZR\\Velásquez-Guevara et al. - 2018 - Multi-SPLOT Supporting Multi-user Configurations .pdf}
}

@article{felfernigOpenConfiguration2014a,
  langid = {english},
  title = {Towards {{Open Configuration}}},
  url = {https://researchportal.helsinki.fi/en/publications/towards-open-configuration},
  urldate = {2019-10-15},
  date = {2014},
  author = {Felfernig, Alexander and Stettinger, Martin and Ninaus, Gerald and Jeran, Michael and Reiterer, Stefan and Falkner, Andreas and Leitner, Gerhard and Tiihonen, Juha},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\NAFRZ496\\towards-open-configuration.html}
}

@inproceedings{felferningGroupBasedConfiguration2016,
  langid = {english},
  location = {{Albi}},
  title = {Towards {{Group}}-{{Based Configuration}}},
  isbn = {979-10-91526-04-3},
  shorttitle = {18th {{International}} Configuration Workshop},
  eventtitle = {International {{Workshop}} on {{Configuration}}},
  publisher = {{École des Mines d'Albi-Carmaux}},
  date = {2016},
  pages = {69-72},
  author = {Felferning, Alexander and Atas, Müslüm and Tran, Thi Ngoc Trang and Stettinger, Martin},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\YF83I4TQ\\Felferning et al. - 2016 - Towards Group-Based Configuration.pdf}
}

@article{peffersDesignScienceResearch2007a,
  langid = {english},
  title = {A {{Design Science Research Methodology}} for {{Information Systems Research}}},
  volume = {24},
  issn = {0742-1222, 1557-928X},
  url = {https://www.tandfonline.com/doi/full/10.2753/MIS0742-1222240302},
  doi = {10.2753/MIS0742-1222240302},
  number = {3},
  journaltitle = {Journal of Management Information Systems},
  shortjournal = {Journal of Management Information Systems},
  urldate = {2019-10-15},
  date = {2007-12},
  pages = {45-77},
  author = {Peffers, Ken and Tuunanen, Tuure and Rothenberger, Marcus A. and Chatterjee, Samir},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\GCVWBMVC\\Peffers et al. - 2007 - A Design Science Research Methodology for Informat.pdf}
}

@inproceedings{atasSociallyAwareDiagnosisConstraintBased2019,
  langid = {english},
  location = {{Larnaca, Cyprus}},
  title = {Socially-{{Aware Diagnosis}} for {{Constraint}}-{{Based Recommendation}}},
  doi = {10.1145/3320435.3320436},
  abstract = {Constraint-based group recommender systems support the identification of items that best match the individual preferences of all group members. In cases where the requirements of the group members are inconsistent with the underlying constraint set, the group needs to be supported such that an appropriate solution can be found. In this paper, we present a guided approach that determines socially-aware diagnoses based on different aggregation functions. We analyzed the prediction quality of different aggregation functions by using data collected in a user study. The results indicate that those diagnoses guided by the Least Misery aggregation function achieve a higher prediction quality compared to the Average Voting, Most Pleasure, and Majority Voting. Moreover, another major outcome of our work reveals that diagnoses based on aggregation functions outperform basic approaches such as Breadth First Search and Direct Diagnosis.},
  eventtitle = {The 27th {{ACM Conference}}},
  booktitle = {Proceedings of the 27th {{ACM Conference}} on {{User Modeling}}, {{Adaptation}} and {{Personalization}}  - {{UMAP}} '19},
  publisher = {{ACM Press}},
  date = {2019},
  pages = {121-129},
  author = {Atas, Muesluem and Samer, Ralph and Felfernig, Alexander and Tran, Thi Ngoc Trang and Erdeniz, Seda Polat and Stettinger, Martin},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\3CYBXHM5\\Atas et al. - 2019 - Socially-Aware Diagnosis for Constraint-Based Reco.pdf}
}

@article{tiihonenIntroductionPersonalizationMass2017,
  langid = {english},
  title = {An Introduction to Personalization and Mass Customization},
  volume = {49},
  doi = {10.1007/s10844-017-0465-4},
  abstract = {Mass customization as a state-of-the-art production paradigm aims to produce individualized, highly variant products and services with nearly mass production costs. A major side-effect for companies providing complex products and services is that customers quite often get confused by the high variety and do not make a purchase. Personalization technologies can help to alleviate the challenges of mass customization. These technologies support customers in specifying products and services that fit their wishes and needs in a fashion where decision and interaction efforts with sales support systems are significantly reduced. We provide a short overview of related research and the articles that are part of this special issue on Personalization and Mass Customization.},
  number = {1},
  journaltitle = {Journal of Intelligent Information Systems},
  date = {2017-08},
  pages = {1-7},
  author = {Tiihonen, Juha and Felfernig, Alexander},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\7LGAYLZB\\Tiihonen und Felfernig - 2017 - An introduction to personalization and mass custom.pdf}
}

@article{elahiSurveyActiveLearning2016,
  langid = {english},
  title = {A Survey of Active Learning in Collaborative Filtering Recommender Systems},
  volume = {20},
  issn = {15740137},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S1574013715300150},
  doi = {10.1016/j.cosrev.2016.05.002},
  abstract = {In collaborative filtering recommender systems user’s preferences are expressed as ratings for items, and each additional rating extends the knowledge of the system and affects the system’s recommendation accuracy. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, the usefulness of each rating may vary significantly, i.e., different ratings may bring a different amount and type of information about the user’s tastes. Hence, specific techniques, which are defined as “active learning strategies”, can be used to selectively choose the items to be presented to the user for rating. In fact, an active learning strategy identifies and adopts criteria for obtaining data that better reflects users’ preferences and enables to generate better recommendations.},
  journaltitle = {Computer Science Review},
  shortjournal = {Computer Science Review},
  urldate = {2019-10-18},
  date = {2016-05},
  pages = {29-50},
  author = {Elahi, Mehdi and Ricci, Francesco and Rubens, Neil},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\4IR8QEFN\\Elahi et al. - 2016 - A survey of active learning in collaborative filte.pdf},
  note = {ZSCC: 0000118}
}

@collection{ricciRecommenderSystemsHandbook2015,
  langid = {english},
  location = {{New York Heidelberg Dordrecht London}},
  title = {Recommender Systems Handbook},
  edition = {Second edition},
  isbn = {978-1-4899-7636-9 978-1-4899-7637-6},
  pagetotal = {1003},
  publisher = {{Springer}},
  date = {2015},
  editor = {Ricci, Francesco and Rokach, Lior and Shapira, Bracha},
  file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\26HADE8N\\Ricci et al. - 2015 - Recommender systems handbook.pdf},
  note = {ZSCC: NoCitationData[s0] 
OCLC: 935904837}
}