Advanced Information Systems Engineering

The traditional role of an Information System (IS) is to support operation and management within an organization. In the presentation, we will discuss the specific role that IS can also play to support the management aspects related to the governance of an organization regarding its compliance to norms and regulations. In the new service economy, governance issues are no longer limited to a single organization but should be extended at the level of service value networks, i.e. service systems. In such systems, one of the challenges is for each organization to demonstrate its compliance in a transparent way. In this paper, we discuss how to organize a global governance framework and we illustrate its use in the IT service management. On the basis of some research on TIPA, a process reference model making possible to objectively measure the quality of delivered IT services, we illustrate how IS and Enterprise Architecture can effectively support the deployment of such global governance model.

[1]  Goiuria Sagardui Mendieta,et al.  Process Variability through Automated Late Selection of Fragments , 2013, CAiSE Workshops.

[2]  Richard Coyne,et al.  Wicked problems revisited , 2005 .

[3]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[4]  Christoph H. Loch,et al.  On Uncertainty, Ambiguity, and Complexity in Project Management , 2002, Manag. Sci..

[5]  Daniel M. Yellin,et al.  Protocol specifications and component adaptors , 1997, TOPL.

[6]  Laurence Duchien,et al.  Context awareness for dynamic service-oriented product lines , 2009, SPLC.

[7]  Kyo Chul Kang,et al.  Feature-Oriented Domain Analysis (FODA) Feasibility Study , 1990 .

[8]  K. Weick,et al.  Organizing for high reliability: Processes of collective mindfulness. , 1999 .

[9]  Anand Nair,et al.  Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective , 2007, Decis. Sci..

[10]  Niek J. E. Wijngaards,et al.  Scenario reliability assessment to support decision makers in situations of severe uncertainty , 2012, 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support.

[11]  Selmin Nurcan,et al.  Context-awareness for adequate business process modelling , 2009, 2009 Third International Conference on Research Challenges in Information Science.

[12]  Jonathan Rosenhead,et al.  Problem structuring methods in action , 2004, Eur. J. Oper. Res..

[13]  P. Schoemaker.  MULTIPLE SCENARIO DEVELOPMENT: ITS CONCEPTUAL AND BEHAVIORAL FOUNDATION , 1993 .

[14]  S. Frosdick.  The techniques of risk analysis are insufficient in themselves , 1997 .

[15]  Don S. Batory,et al.  Feature Models, Grammars, and Propositional Formulas , 2005, SPLC.

[16]  Yacov Y Haimes,et al.  Risk Filtering, Ranking, and Management Framework Using Hierarchical Holographic Modeling , 2002, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  Xiang Yao,et al.  The Design of a Dynamic Emergency Response Management Information System (DERMIS) , 2004 .

[18]  Manfred Reichert,et al.  Capturing variability in business process models: the Provop approach , 2010, J. Softw. Maintenance Res. Pract..

[19]  Steven R. Rakitin,et al.  Coping with defective software in medical devices , 2006, Computer.

[20]  Peter C. Fishburn,et al.  Foundations of Risk Measurement. I. Risk As Probable Loss , 1984 .

[21]  Eng Wah Lee,et al.  A business process management approach for RFID enabled supply chain management , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[22]  Alain Wegmann,et al.  Context based reasoning in business process models , 2003, Proceedings Fifth IEEE Workshop on Mobile Computing Systems and Applications.

[23]  Moe Thandar Wynn,et al.  Soundness of workflow nets: classification, decidability, and analysis , 2011, Formal Aspects of Computing.

[24]  Saifallah Benjaafar,et al.  The strategic value of flexibility in sequential decision making , 1995 .

[25]  E. Weber,et al.  Wicked problems, knowledge challenges, and collaborative capacity builders in network settings , 2008, IEEE Engineering Management Review.

[26]  Luciano Baresi,et al.  Service-Oriented Dynamic Software Product Lines , 2012, Computer.

[27]  David King.  Post Disaster Surveys: Experience and Methodology , 2002 .

[28]  Wil M. P. van der Aalst,et al.  Configurable Workflow Models , 2008, Int. J. Cooperative Inf. Syst..

[29]  H. Rittel,et al.  Dilemmas in a general theory of planning , 1973 .

[30]  Jens Weiland,et al.  Variability Mechanisms for Process Models , 2005 .

[31]  Gio Wiederhold,et al.  Mediators in the architecture of future information systems , 1992, Computer.

[32]  George Gaskell,et al.  A theory of risk colonization: The spiralling regulatory logics of societal and institutional risk , 2006 .

[33]  Carina Alves,et al.  A Systematic Mapping Study on Business Process Variability , 2013 .

[34]  Sébastien Gérard,et al.  Consolidated Product Line Variability Modeling , 2006, Software Product Lines.

[35]  Bartel Van de Walle,et al.  Exploring the future: : Runtime scenario selection for complex and time-bound decisions , 2015 .

[36]  S. Albers,et al.  Crisis Construction and Organizational Learning: Capability Building in Catching-Up at Hyundai Motor , 1998 .

[37]  Niek J. E. Wijngaards,et al.  Efficient scenario updating in emergency management , 2012, ISCRAM.

[38]  Krzysztof Czarnecki,et al.  A survey of variability modeling in industrial practice , 2013, VaMoS.

[39]  Damian Daniluk,et al.  Business Object Model for Realization of Individual Business Processes in the Logistics Domain , 2013 .

[40]  Wil M. P. van der Aalst,et al.  A configurable reference modelling language , 2007, Inf. Syst..

[41]  Feng Gao,et al.  Configurable Process Models for Logistics Case Study for Customs Clearance Processes , 2011, Business Process Management Workshops.

[42]  David Draper,et al.  Assessment and Propagation of Model Uncertainty , 2011 .

[43]  Sergio Segura,et al.  Automated analysis of feature models 20 years later: A literature review , 2010, Inf. Syst..

[44]  Manfred Reichert,et al.  Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies , 2012 .

[45]  Brice Morin,et al.  Models@ Run.time to Support Dynamic Adaptation , 2009, Computer.

[46]  Marlon Dumas,et al.  Business process variability modeling : A survey , 2017 .

[47]  Nelly Bencomo,et al.  A View of the Dynamic Software Product Line Landscape , 2012, Computer.

[48]  M. Hort,et al.  Volcanic ash hazard climatology for an eruption of Hekla Volcano, Iceland , 2011 .

[49]  Nicola Guarino,et al.  Business Process Management , 2016, Business & Information Systems Engineering.

[50]  Erik-Hans Klijn,et al.  Dealing with Wicked Problems in Networks: Analyzing an Environmental Debate from a Network Perspective , 2003 .

[51]  U. Juettner,et al.  Supply chain resilience in the global financial crisis: an empirical study , 2011 .

[52]  J. Dutton.  THE PROCESSING OF CRISIS AND NON‐CRISIS STRATEGIC ISSUES , 1986 .

[53]  Alexandr Murashkin,et al.  Clafer tools for product line engineering , 2013, SPLC '13 Workshops.

[54]  Jens Rasmussen,et al.  Risk management in a dynamic society: a modelling problem , 1997 .

[55]  P. Goodwin,et al.  Decision making and planning under low levels of predictability: enhancing the scenario method , 2009 .