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Hybrid Recommender System for IT Governance Tasks


 

The concept "Business Informatics" became popular about fifteen years ago when the usual concepts had lost their generality, abstractness and actuality. Business Informatics is the scientific discipline targeting information processes and related phenomena in their socio-economical business context, including companies, organizations, administrations and society in general. Business Informatics is a fertile ground for research with the potential for immense and tangible impact. As a field of study, it endeavors to take a systematic and analytic approach in aligning core concepts from management science, organizational science, economics information science, and informatics into an integrated engineering science. This research paper is connected with recommender systems that are used for management of economic efficiency of business informatics with the support of Business Intelligence and Data Mining. Current recommender approaches are analyzed and a flexible model is developed. This model based on recommender systems is used to evaluate methods regarding requirements in the context of IT Governance.

 

 


Keywords

business management systems, recommendation
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  • Hybrid Recommender System for IT Governance Tasks

Abstract Views: 163  |  PDF Views: 1

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Abstract


The concept "Business Informatics" became popular about fifteen years ago when the usual concepts had lost their generality, abstractness and actuality. Business Informatics is the scientific discipline targeting information processes and related phenomena in their socio-economical business context, including companies, organizations, administrations and society in general. Business Informatics is a fertile ground for research with the potential for immense and tangible impact. As a field of study, it endeavors to take a systematic and analytic approach in aligning core concepts from management science, organizational science, economics information science, and informatics into an integrated engineering science. This research paper is connected with recommender systems that are used for management of economic efficiency of business informatics with the support of Business Intelligence and Data Mining. Current recommender approaches are analyzed and a flexible model is developed. This model based on recommender systems is used to evaluate methods regarding requirements in the context of IT Governance.

 

 


Keywords


business management systems, recommendation