{"title":"Business Model Grounds and Links","authors":"Jadranka Musulin, V. Strahonja","doi":"10.31341/JIOS.42.2.6","DOIUrl":"https://doi.org/10.31341/JIOS.42.2.6","url":null,"abstract":"The business model concept emerged in theory and practice without a consensus on the understanding of the concept, but it has become a well accepted and useful construct in fields such as strategy, organization, information systems and technology. This paper aims to provide an overview of the research on the use of business models focusing on outstanding works in this field, extracting main converging findings unburdened of extant lists of specific citations. Following the overview, a comparison of the seven respective conceptual frameworks of the business model research is presented. Finally, after determining grounds, the business model concept is linked to related complex concept – enterprise architecture.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48642127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Iterative Automatic Final Alignment Method in the Ontology Matching System","authors":"M. Gulić, B. Vrdoljak, M. Vuković","doi":"10.31341/jios.42.1.3","DOIUrl":"https://doi.org/10.31341/jios.42.1.3","url":null,"abstract":"Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to determine correspondences between ontologies, a set of matchers can be used. After the execution of these matchers and the aggregation of the results obtained by these matchers, a final alignment method is executed in order to select appropriate correspondences between entities of compared ontologies. The final alignment method is an important part of the ontology matching process because it directly determines the output result of this process. In this paper we improve our iterative final alignment method by introducing an automatic adjustment of final alignment threshold as well as a new rule for determining false correspondences with similarity values greater than adjusted threshold. An evaluation of the method is performed on the test ontologies of the OAEI evaluation contest and a comparison with other final alignment methods is given.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47581395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methodology of Evaluating the Sufficiency of Information for Software Quality Assessment According to ISO 25010","authors":"T. Hovorushchenko","doi":"10.31341/JIOS.42.1.4","DOIUrl":"https://doi.org/10.31341/JIOS.42.1.4","url":null,"abstract":"The research is devoted to the development of the formalized and ontological models of the software quality according to ISO 25010. These models provide the possibility of the formalization of the software quality assessment according to ISO 25010. This standard would benefit from a formal description. The paper proves that information sufficiency is a critical aspect of software quality assessment. The methods and system of evaluating the sufficiency of the information for software quality assessment according to ISO 25010 are developed. The developed methods and tools provide the increasing the veracity of software quality assessment. The conducted experiments confirm that the developed methodology of evaluating the sufficiency of information for software quality assessment increased the veracity of the software quality assessment in 12% for the automated system for large-format photo print.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48910841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emotion-Based Content Personalization in Social Networks\u0000","authors":"Anthoniraj Amalanathan, S. Anouncia, U. Wiil","doi":"10.31341/JIOS.42.1.1","DOIUrl":"https://doi.org/10.31341/JIOS.42.1.1","url":null,"abstract":"Personalization is the process of customizing social network pages of users according to their needs and personal interests. It can also be used for filtering unwanted information from an individual's page received from other users, in case this information is unpleasant or unacceptable. To avoid unwanted information from a particular user in current social networks, the user needs to be denied accessibility by blocking them. However, instead of blocking the user, it would be preferable to have a mechanism that prevents the undesirable content in a user's social network page. Thus, this paper presents a model that determine the emotions shared in the content of a social network page by the user. The model determines the dominant emotions for a period of time and uses these to filter the content using the user's dominant emotions. Using the developed model, a novel system based on item based collaborative filtering process to personalize the user's social network page has been developed. A user study involving 5000 Twitter messages shows that the developed system performs satisfactory with a correctness in the filtering process of 87%.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.31341/JIOS.42.1.1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42330318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}