Editorial, Special Issue on “Knowledge-based Decision Systems”

This article was downloaded by: [Faculdade de Ciencias Sociais e Humanas] On: 21 May 2014, At: 07:23 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK

Journal of Decision Systems Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/tjds20

Editorial a

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Shaofeng Liu , Pascale Zaraté & Rita Ribeiro a

University of Plymouth, UK

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University Toulouse 1 Capitole, France

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UNINOVA-CA3, Portugal Published online: 19 May 2014.

To cite this article: Shaofeng Liu, Pascale Zaraté & Rita Ribeiro (2014) Editorial, Journal of Decision Systems, 23:3, 229-231, DOI: 10.1080/12460125.2014.919736 To link to this article: http://dx.doi.org/10.1080/12460125.2014.919736

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Journal of Decision Systems, 2014 Vol. 23, No. 3, 229–231, http://dx.doi.org/10.1080/12460125.2014.919736

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Editorial This Journal of Decision Systems (JDS) Special Issue on ‘Knowledge-Based Decision Systems’ (KBDS) includes selected and extended papers from two major events organised by the Euro Working Group on Decision Support Systems (EWG-DSS) in 2013, complemented by open call submissions. The two events were: EWG-DSS 2013 Annual Workshop held in Thessaloniki, Greece, from 29 to 31 May 2013, and EURO XXVI-INFORMS Joint International Conference – DSS Stream (with seven sessions) held in Rome, Italy, from 1 to 4 July 2013. From the two events, over 60 papers were presented and assessed by a group of eight experts including members of the EWGDSS Co-ordination Board. Nine papers ranked as highest quality by the selection committee were selected and the authors were invited to extend their papers and submit them to the JDS Special Issue for consideration. In the meantime, a Call for Papers was placed on the JDS website which attracted another seven submissions. The combined sixteen papers were then put through a rigorous review process. In the end, eight papers received the best evaluation results from the reviewers and were recommended for publication in this Special Issue. The main focus of this JDS Special Issue is knowledge management for decision support, in particular KBDS. KBDS have been generally accepted as decision systems that contain a knowledge base and a function of inference or reasoning on top of a classical decision support system (DSS). The eight papers included in this Special Issue address the current issues of the topic and represent the most recent advances from different perspectives, contributing to the development of the knowledge base and inference/reasoning function of the KBDS. The first paper, by Javad Jassbi, Rita Ribeiro and Leonide Varela, presents new developments in dynamic spatial-temporal, multi-criteria decision making, to address the issue of considering future knowledge (feed-forward) besides dealing with historical data (feed-back). In the second paper, Daniel O’Leary investigates the extent to which knowledge re-use contributes to knowledge management productivity through empirical analysis. The third paper, authored by Sahar Ghrab, Inès Saad, Faïez Gargouri and Gilles Kassel, describes a DSS for identifying and representing crucial organisational know-how and know-what. This paper discusses in detail the classification, evaluation and cartography of organisational knowledge in the medical field. The next paper by Ali Alkuraiji et al., follows on the issue of organisational knowledge and defines a knowledge networking and mobilisation framework to support changes in management decision making in IT projects. In paper 5, Amel Chaabouni and Imene Ben Yahia explore the contribution of enterprise resource planning (ERP) to the decision-making process through knowledge management. This paper suggests a parallelism among ERP, decision-making process and knowledge management. The integration of interactive dashboards into business process management is the focus of Isabelle Linden’s paper, which offers a platform that can provide global views on resource intelligence and enhance decision support regarding both human and non-human resource management at run-time. The final two papers take into account the recent © 2014 Taylor & Francis

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phenomenon of social impact on KBDS. Paper 7, authored by Valentinos Evripidou and Francesca Toni, describes a social intelligent debating platform, based on computational argumentation, to model and analyse social discussions. Finally, in the eighth paper of this Special Issue, Nesrine Ben Yahia, Narjès Bellamine Ben Saoud, and Henda Ben Ghezala propose the idea of community-based collaboration recommendation to support mixed decision making through individual and collective knowledge sharing. As guest editors, we are glad to have included in this JDS Special Issue a set of eight high quality and interesting pieces of work, authored by experienced researchers from different institutions across different continents. Editing this Special Issue has been a great pleasure for us. We would like to thank a number of people who have greatly contributed to the successful completion of this Special Issue. Firstly, we need to thank the Editors-in-Chief of JDS, Professor Frédéric Adam and Professor Frada Burstein, for giving us the opportunity to edit this Special Issue on a topic we are passionate about. Thanks also go to Paul Naish, the Managing Editor at Taylor & Francis and Ciara Heavin, the JDS Managing Editor, for the wonderful editorial support we have received from them during the process. Of course, we would also like to express our gratitude to the reviewers of this Special Issue, for their constructive feedback on the submissions. Last but not least, we wish to sincerely acknowledge the great help from our fellow colleagues on the EWG-DSS Co-ordination Board, namely Fátima Dargam, Jorge Hernández, Boris Delibasic, Isabelle Linden and Jason Papathanasiou. They have offered their unreserved support to this Special Issue from the initial paper selection through review process to the final decision on the papers included. Hence, to all of you, your help and support is very much appreciated! Reviewers for this Special Issue Ahmed Maalel, University of Manouba, Tunisia Boris Delibašić, University of Belgrade, Serbia Daniel E. O’Leary, University of Southern California, USA Fátima Dargam, ILTC, Brazil & SimTech Simulation Technology, Austria Gilles Kassel, University of Picardie Jules Verne, France Hossein Sharifi, University of Liverpool, UK Imene Ben Yahia, High Institute of Finance and Taxation of Sousse, Tunisia Inès Saad, France Business School, Amiens, France Isabelle Linden, University of Namur, Belgium Jose Xavier Silva, UNINOVA-CA3, Portugal Jason Papathanasiou, University of Macedonia, Greece Jorge Hernandez, University of Liverpool, UK Manish Kumar, Indian Institute of Information Technology, India Mehmet Göktürk, Gebze Institute of Technology, Turkey Norman Gwangwava, Tshwane University of Technology, South Africa Pavlos Deias, Kavala Institute of Technology, Greece Pascale Zaraté, University Toulouse 1 Capitole, France Rita Ribeiro, UNINOVA-CA3, Portugal Shaofeng Liu, University of Plymouth, UK Stavros Valsamidis, Kavala Institute of Technology, Greece Tobias Prokesch, EBS Business School, USA Uchitha Jayawickrama, University of Plymouth, UK Valentinos Evripidou, Imperial College London, UK

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The guest-editors of this Special Issue wish to acknowledge their gratitude for the prompt and highly constructive reviews received from the researchers above in the various phases of this Special Issue’s editing process.

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Shaofeng Liu University of Plymouth, UK Pascale Zaraté University Toulouse 1 Capitole, France Rita Ribeiro UNINOVA-CA3, Portugal