Editorial

It is tradition that the Electronic Journal of Information Systems Evaluation (EJISE) publish a special issue containing the full versions of the best papers that were presented in a preliminary version during the 8th European Conference on Information Management and Evaluation (ECIME 2014). The faculty of Economics and Business Administration of the Ghent University was host for this successful conference on 11-12th of September 2014. ECIME 2014 received a submission of 86 abstracts and after the double-blind peer review process, thirty one academic research papers, nine PhD research papers, one master research paper and four work-in-progress papers were accepted and selected for presentation. ECIME 2014 hosted academics from twenty-two nationalities, amongst them: Australia, Belgium, Bosnia and Herzegovina, Brazil, Finland, France, Greece, Ireland, Lebanon, Lithuania, Macedonia (FYROM), Norway, Portugal, Romania, Russia, South Africa, South Korea, Spain, Sweden, The Netherlands, Turkey and the UK. From the thirty-one academic papers presented during the conference nine papers were selected for inclusion in this special issue of EJISE. The selected papers represent empirical work as well as theoretical research on the broad topic of management and evaluation of information systems. The papers show a wide variety of perspectives to deal with the problem

Towards an ontology and modeling approach for service science

Service Science is an academic discipline that investigates the organization and operation of service systems and that designs novel solutions for their innovation, engineering and management. As a new interdisciplinary field, Service Science is in need of a solid conceptual foundation that could act as a unifying paradigm for researchers having backgrounds in different disciplines. Apart from common research abstractions and a shared vocabulary, the field would also benefit from modeling artifacts for studying and designing service systems. This paper reports on a research-in-progress that addresses these needs by developing a Service Science ontology, which will be elaborated as the meta-model of a new service system modeling language. The paper summarizes our current research results and contributes to the Service Science literature by presenting a new graphical conceptual model for service systems