Abstract. In an highly dynamic social and business environment time becomes one of the most treasured recourses of companies and individuals. However, there are no many research works devoted to explicit analysis of time issues. Therefore, despite of a large number of enterprise and business process representation and analysis tools, it is still impossible to address time to full extent in systems modeling and analysis. This paper proposes linkage between enterprise architecture, process, and time models to promote development of methods for managing time issues in systems development, maintenance and change management. The linkage roots in Bunge's systems ontology and concerns time ontology edited by Hobbs and Pan. Keywords: Upper ontology · Enterprise architecture · Business process · Time ontology IntroductionTime is one of the most treasured resources in highly dynamic business environment. Time also becomes an important issue in development of different information technology solutions, because their impact on users' time shall be considered. For instance, by development of information systems for administrative purposes the time of administration is saved, however the time of other employees might be misused to such an extent that the new administrative information system causes losses instead of benefits in the company in terms of financial resources, job satisfaction, and ability to serve the customers of the company. On the other hand, often the business is run on the global scale and companies from different time zones have to cooperate in providing services and products to their customers. This means that their business process management systems must be supported by information technology solutions that can easily calculate process parameters taking into consideration time zone differences with respect to the current geographical location of the companies and temporal locations of their employees. We assume that, to ensure good possibility to analyze time issues, it is necessary to develop the following two approaches:• The approach how to model time as one of the sub-models of enterprise architecture.• The approach how to relate time model to other models of the enterprise architecture, especially to the business process model.

-The paper presents results of the comparative analysis of business process modelling tools for supporting automated compliance management in organisations. By compliance in the paper we mean compliance to legislation, regulations of municipalities, external regulatory requirements and also internal organisational policies. The goal of the research is (1) to identify main attributes of business process modelling tools relevant in compliance management, and (2) to use the identified attributes for analysis of the tools to better understand the scope of their capability to support compliance management. The attributes of the tools have been derived from the related research. The analysis of the tools has been performed by installing each tool and evaluating it against a set of the identified attributes. The obtained results are useful in choosing the tools for compliance management in general and for open source solutions to develop new compliance management tools in particular.

The goal of effective public administration is to provide qualitative services to citizens. Due to the increasing use of information and communication technologies (ICT), e-government is one of the possible solutions in achieving this goal. This solution includes a good understanding and management of the existing business processes, the use of normative documents and the effective use of information systems in public administration. To get the current view of all mentioned necessary components, the questionnaire was made. This paper is devoted to the analysis of questionnaire results. As a result of the analysis, hypotheses for further study are set.Keywords -Business process (BP), compliance, document management system (DMS), information system (IS), modeling, normative document (ND), quality management system (QMS).

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