Self-Service Management Support Systems: Findings from a New-Generation Manager Perspective

2015 ◽  
pp. 113-136
Author(s):  
Jörg H. Mayer ◽  
Jens Hartwig ◽  
André Röder ◽  
Reiner Quick
Keyword(s):  
Service Management ◽  
Support Systems ◽  
Management Support ◽  
Management Support Systems ◽  
Self Service ◽  
New Generation

Self-Service Management Support Systems— There’s an App for That

2013 ◽  
pp. 420-424 ◽  
Author(s):  
Bernhard Krönke ◽  
Alexa Reinecke ◽  
Jörg Hans Mayer ◽  
Gotthard Tischner ◽  
Hannes Feistenauer ◽  
...  
Keyword(s):  
Service Management ◽  
Support Systems ◽  
Management Support ◽  
Management Support Systems ◽  
Self Service

Understanding Based Managing Support Systems

2010 ◽  
pp. 91-102
Author(s):  
Lidia Ogiela ◽  
Ryszard Tadeusiewicz ◽  
Marek R. Ogiela
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Semantic Analysis ◽  
Support Systems ◽  
Expert Knowledge ◽  
Management Support ◽  
Economic Data ◽  
Economic Information ◽  
Management Support Systems ◽  
Intelligent Information

This publication presents cognitive systems designed for analysing economic data. Such systems have been created as the next step in the development of classical DSS systems (Decision Support Systems), which are currently the most widespread tools providing computer support for economic decision-making. The increasing complexity of decision-making processes in business combined with increasing demands that managers put on IT tools supporting management cause DSS systems to evolve into intelligent information systems. This publication defines a new category of systems - UBMSS (Understanding Based Management Support Systems) which conduct in-depth analyses of data using on an apparatus for linguistic and meaning-based interpretation and reasoning. This type of interpretation and reasoning is inherent in the human way of perceiving the world. This is why the authors of this publication have striven to perfect the scope and depth of computer interpretation of economic information based on human processes of cognitive data analysis. As a result, they have created UBMSS systems for the automatic analysis and interpretation of economic data. The essence of the proposed approach to the cognitive analysis of economic data is the use of the apparatus for the linguistic description of data and for semantic analysis. This type of analysis is based on expectations generated automatically by a system which collects resources of expert knowledge, taking into account the information which can significantly characterise the analysed data. In this publication, the processes of classical data description and analysis are extended to include cognitive processes as well as reasoning and forecasting mechanisms. As a result of the analyses shown, we will present a new class of UBMSS cognitive economic information systems which automatically perform a semantic analysis of business data.

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