Somayeh Koohborfardhaghighi, J. Altmann, K. Tserpes
{"title":"Social analytics framework for intelligent information systems based on a complex adaptive systems approach","authors":"Somayeh Koohborfardhaghighi, J. Altmann, K. Tserpes","doi":"10.1145/3106426.3109430","DOIUrl":null,"url":null,"abstract":"An employee profile record within a human resource management department includes information about the employee's past activities within the enterprise. These profile records are valuable sources of information for any enterprise. Using this information requires an intelligent enterprise information system. In this study, we emphasize the importance of having detailed analyses on the employees' knowledge base within an enterprise by applying dynamic social impact theory. We argue that the richer the knowledge base within an enterprise with respect to its human and social capital is, the more it can empower its employees to be creative and innovative during group works. We propose a framework for effectively modeling the ever-changing knowledge bases of big enterprises for delivering optimal and automated team composition techniques. Our discussions cover the complete pipeline from data management and knowledge modeling, via graph analysis, to decision support services.","PeriodicalId":20685,"journal":{"name":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3106426.3109430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An employee profile record within a human resource management department includes information about the employee's past activities within the enterprise. These profile records are valuable sources of information for any enterprise. Using this information requires an intelligent enterprise information system. In this study, we emphasize the importance of having detailed analyses on the employees' knowledge base within an enterprise by applying dynamic social impact theory. We argue that the richer the knowledge base within an enterprise with respect to its human and social capital is, the more it can empower its employees to be creative and innovative during group works. We propose a framework for effectively modeling the ever-changing knowledge bases of big enterprises for delivering optimal and automated team composition techniques. Our discussions cover the complete pipeline from data management and knowledge modeling, via graph analysis, to decision support services.