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  • 1. Abd-Alrahman, Ahmed Mustafa
    et al.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Modelling Health Information during Catastrophic Events - A Disaster Management System for Sudan2017In: IST-Africa 2017: Conference Proceedings / [ed] Paul Cunningham, Miriam Cunningham, International Information Management Corporation Limited, 2017, p. 1-9Conference paper (Refereed)
    Abstract [en]

    There is an increasing trend of disastrous events during past decade with significant damage in terms of lives, infrastructure, economics and environment. Disastrous events are affecting communities worldwide and, apart for the actual and personal suffering involved, can fundamentally disrupt societal functions for many years. This is particularly the case in already vulnerable regions, which often require external assistance of various kinds. In order to reduce catastrophic effects of disasters, disaster mitigation measures and crisis reduction must be systematically planned and managed. This includes correct damage assessment, fast, efficient and prepared responses, adequate resource allocation and organisation of the relief processes. Obviously, the conditions and abilities to implement such measures are very different in various locations, where regions have particularly severe conditions. In this paper, we discuss crisis management in Sudan and highlight the need for national and regional disaster management processes and activities as well as general framework for the design of an efficient disaster management program in Sudan.

  • 2.
    Araújo, Marco
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Confraria, João
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Sweden International Institute for Applied Systems Analysis (IIASA), Austria.
    A Utility Based Price Model for High Capacity Rural Networks in the European Union2018In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 253-258Conference paper (Refereed)
    Abstract [en]

    The European Union has been battling against the digital divide for several decades now when trying to mitigate the risk of social exclusion arising from the lack of broadband access, preventing citizens from full social and economic participation in the society. This has been done in the past by ensuring that a minimum set of services would be available to all end-users at an affordable price. However, various aspects of the rapid advances in technology, market developments and changes in user demand as well as the evolution of the telecommunications infrastructure (5G, IoT, Cloud, gigabit access, etc) increase the risk that citizens of rural areas are facing a severe risk of digital exclusion. To avoid this risk, the concept of subsidised rural networks was created by the European Commission. The idea as such is laudable, but the price tag remains unknown, which severely violates its implementability. In this article, based on the actual cost in a subsidised, but competitive, environment, we suggest a novel approach to realistically determine fair end-user's prices.

  • 3.
    Araújo, Marco
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis (IIASA), Austria.
    Confraria, João
    Rural Networks Cost Comparison Between 5G (Mobile) and FTTx (Fixed) Scenarios2018In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 259-264Conference paper (Refereed)
    Abstract [en]

    In this article we simulate the infrastructure costs for very fast networks in rural areas. FTTH technology has been around for at least a decade, but two brand new technologies are expected to launch commercially in the next couple of years: 5G and G. Fast. This could have a strong impact on infrastructure costs and the fulfilment of the European Union, rural coverage objectives. 5G seems to be very promising since LTE is not a reasonable solution for very fast networks. FTTC has so far not been a valid alternative, since for the last mile, the only options for FTTC has been ADSL and VDSL, which however cannot reach very fast data rates. G.Fast is three times faster than VDSL and has the advantage, comparing to FTTH, that the last mile infrastructure is already build in the form of copper local loop.

  • 4.
    Barkhuus, Louise
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rossitto, Chiara
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Forsberg, Rebecca
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Sauter, Willmar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Interactive Performances as a Means of Social Participation and Democratic Dialogue2014In: International Reports on Socio-Informatics (IRSI), ISSN 1861-4280, E-ISSN 1861-4280, Vol. 11, no 1, p. 11-20Article in journal (Refereed)
    Abstract [en]

    In this position paper we present our ongoing research in relation to cultivating democracy and civic participation through the writing and performance of interactive theater experiences1. We provide an example of a performance that facilitates audience participation through expression and sharing of opinions and emotions, by means of digital technologies. The performance leads to further discussion within the community and inspires more artistic and theatrical experiences in this context.

  • 5.
    Bergholtz, Maria
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansson, Karin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Johannesson, Paul
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Snygg, Joakim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Framework for evaluating tools used in edemocracy: transparency, autonomy, consensus and pluralism2014In: DSV writers hut 2014: proceedings, Stockholm: Department of Computer and Systems Sciences, Stockholm University , 2014Conference paper (Other academic)
    Abstract [en]

    The concept of e-democracy has been around for a while. However, the intercontextual understanding of this is still immature which complicates interdisciplinarity and communication with a diversity of stakeholders, resulting in a weak participation and implementation of e-services. This is even more emphasized in an international setting, not the least in the context of various European Union initiatives regarding e-service provision. To increase the participation in the context, e-democracy services can be utilized for strengthening individual capabilities as well as political processes. The effective design of such processes requires tools to support decision-making, collaboration, and collaborative decision-making, voting engagement and involvement in the democratic process. This article presents an evaluation framework suitable for tools for e-democracy aiming at forming a constructive base for implementing an efficient support for enabling an increased participation in vital democratic processes.

  • 6.
    Boeva, Veselka
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A transition logic for schemata conflicts2004In: Data & Knowledge Engineering, ISSN 0169-023X, E-ISSN 1872-6933, Vol. 51, no 3, p. 277-294Article in journal (Refereed)
    Abstract [en]

    Conflict detection and analysis are of high importance, e.g., when integrating conceptual schemata, such as UML-Specifications, or analysing goal-fulfilment of sets of autonomous agents. In general, models for this introduce unnecessarily complicated frameworks with several disadvantages regarding semantics as well as complexity. This paper demonstrates that an important set of static and dynamic conflicts between specifications can be diagnosed using ordinary first-order modal logic. Furthermore, we show how the framework can be extended for handling situations when there are convex sets of probability measures over a state-space. Thus, representing specifications as conceptual schemata and using standard Kripke models of modal logic, augmented with an interval-valued probability measure, we propose instrumental definitions and procedures for conflict detection.

  • 7. Borking, Kjell
    et al.
    Danielson, Mats
    Davies, Guy
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Transcending Business Intelligence2011Book (Other academic)
  • 8. Borking, Kjell
    et al.
    Danielson, Mats
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Bortom Business Intelligence2009 (ed. 1)Book (Other academic)
  • 9.
    Brouwers, Lisa
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansson, Karin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Danielson, Mats
    Örebro University, Örebro, Sweden.
    Multi-criteria decision-making of policy strategies with public-private re-insurance systems.2004In: Risk, Decision, and Policy, ISSN 1357-5309, E-ISSN 1466-4534, Vol. 9, no 1, p. 23-45Article in journal (Refereed)
    Abstract [en]

    This article describes an integrated flood catastrophe model as well as some results of a case study made in the Upper Tisza region in north-eastern Hungary: the Palad-Csecsei basin. The background data was provided through the Hungarian Academy of Sciences and complemented by interviews with different stakeholders in the region. Based on these data, for which a large degree of uncertainty is prevailing, we demonstrate how an implementation of a simulation and decision analytical model can provide insights into the effects of imposing different policy options for a flood risk management program in the region. We focus herein primarily on general options for designing a public-private insurance and reinsurance system for Hungary. Obviously, this is a multi-criteria and multi-stakeholder problem and cannot be solved using standard approaches. It should, however, be emphasised that the main purpose of this article is not to provide any definite recommendations, but rather to explore a set of policy packages that could gain a consensus among the stakeholders.

  • 10.
    Brouwers, Lisa
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansson, Karin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Simulation of Three Competing Flood Management Strategies: A Case Study2002In: Applied Simulation and Modelling: Proceedings of the IASTED International Conference / [ed] L. Ubertini, Anaheim: Acta Press , 2002Conference paper (Refereed)
    Abstract [en]

    We argue that integrated catastrophe models are useful for policy decisions, for which a large degree of uncertainty is a natural ingredient. Recently, much attention has been given to the financial management of natural disasters. This article describes the results of a case study performed in northeastern Hungary where different flood management strategies have been explored and compared using an integrated catastrophe model. The area used for the pilot study is the Palad-Csecsei basin (the Pilot basin) where 4 621 persons live. The Pilot basin is located in the Upper Tisza region. An executable and geographically explicit model has been developed, linking hydrological, geographical, financial, and social data. The outcomes of the policy simulations are represented at different granularity-levels; the individual, the aggregated (entire basin), and the governmental.

  • 11.
    Candia, Rodolfo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Programvaruutveckling.
    Glimbert, Lars
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    ICT for Academic Development in Sri Lanka2007Chapter in book (Other academic)
  • 12.
    Caster, Ola
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Uppsala Monitoring Centre, Sweden.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Combining Second-Order Belief Distributions with Qualitative Statements in Decision Analysis2012In: Managing Safety of Heterogeneous Systems: Decisions under Uncertainties and Risks / [ed] Yuri Ermoliev, Marek Makowski, Kurt Marti, Springer Berlin/Heidelberg, 2012, p. 67-87Chapter in book (Refereed)
    Abstract [en]

    There is often a need to allow for imprecise statements in real-world decision analysis. Joint modeling of intervals and qualitative statements as constraint sets is one important approach to solving this problem, with the advantage that both probabilities and utilities can be handled. However, a major limitation with interval-based approaches is that aggregated quantities such as expected utilities also become intervals, which often hinders efficient discrimination. The discriminative power can be increased by utilizing second-order information in the form of belief distributions, and this paper demonstrates how qualitative relations between variables can be incorporated into such a framework. The general case with arbitrary distributions is described first, and then a computationally efficient simulation algorithm is presented for a relevant sub-class of analyses. By allowing qualitative relations, our approach preserves the ability of interval-based methods to be deliberately imprecise. At the same time, the use of belief distributions allows more efficient discrimination, and it provides a semantically clear interpretation of the resulting beliefs within a probabilistic framework.

  • 13.
    Caster, Ola
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Uppsala Monitoring Centre, Sweden.
    Norén, G. Niklas
    Stockholm University, Faculty of Science, Department of Mathematics. Uppsala Monitoring Centre, Sweden.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Edwards, I. Ralph
    Quantitative Benefit-Risk Assessment Using Only Qualitative Information on Utilities2012In: Medical decision making, ISSN 0272-989X, E-ISSN 1552-681X, Vol. 32, no 6, p. E1-E15Article in journal (Refereed)
    Abstract [en]

    Background: Utilities of pertinent clinical outcomes are crucial variables for assessing the benefits and risks of drugs, but numerical data on utilities may be unreliable or altogether missing. We propose a method to incorporate qualitative information into a probabilistic decision analysis framework for quantitative benefit-risk assessment. Objective: To investigate whether conclusive results can be obtained when the only source of discriminating information on utilities is widely agreed upon qualitative relations, for example, ''sepsis is worse than transient headache'' or ''alleviation of disease is better without than with complications.'' Method: We used the structure and probabilities of 3 published models that were originally evaluated based on the standard metric of quality-adjusted life years (QALYs): terfenadine versus chlorpheniramine for the treatment of allergic rhinitis, MCV4 vaccination against meningococcal disease, and alosetron for irritable bowel syndrome. For each model, we identified clinically straightforward qualitative relations among the outcomes. Using Monte Carlo simulations, the resulting utility distributions were then combined with the previously specified probabilities, and the rate of preference in terms of expected utility was determined for each alternative. Results: Our approach conclusively favored MCV4 vaccination, and it was concordant with the QALY assessments for the MCV4 and terfenadine versus chlorpheniramine case studies. For alosetron, we found a possible unfavorable benefit-risk balance for highly risk-averse patients not identified in the original analysis. Conclusion: Incorporation of widely agreed upon qualitative information into quantitative benefit-risk assessment can provide for conclusive results. The methods presented should prove useful in both population and individual-level assessments, especially when numerical utility data are missing or unreliable, and constraints on time or money preclude its collection.

  • 14.
    Chemane, Lourino
    et al.
    UTICT, Mozambique.
    Carrilho, Sérgio
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Taula, Rufino
    MCDM Framework and the Selection of Network Topology: GovNet Case Study2006In: IST-Africa 2006 Conference Proceedings / [ed] Paul Cunningham & Miriam Cunningham, IIMC International Information Management Corporation , 2006Conference paper (Refereed)
  • 15.
    Chemane, Lourino
    et al.
    UTICT, Mozambique.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    e-Government and Architecture Principles Government Portal Case Study2006In: Exploiting the Knowledge Economy: Issues, Applications, Case Studies / [ed] Paul Cunningham & Miriam Cunningham, Amsterdam: IOS Press , 2006Conference paper (Refereed)
  • 16.
    Chemane, Lourino
    et al.
    UTICT, Mozambique.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Finger, Matthias
    eGovernment and Sociotechnical Feedback Control System2008In: IST-Africa 2008 Conference Proceedings / [ed] Paul Cunningham & Miriam Cunningham, IIMC International Information Management Corporation , 2008Conference paper (Refereed)
  • 17.
    Chemane, Lourino
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Popov, Oliver
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Carrilho, S.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Government Network and Information Security MCDM Framework for the Selection of Security Mechanisms:  2005In: Proceedings of CNIS 2005 / [ed] M.H. Hamza, Phoenix, USA: Acta Press , 2005Conference paper (Refereed)
    Abstract [en]

    The establishment of Virtual Private Networks (VPNs), Intranets and Internet access channels by Governments raises the need of making sure that only authorized people access the Government VPN resources. The large base of network security mechanisms and VPN implementation alternatives available makes it difficult to select the “optimal” security mechanisms or controls to be used in order to ensure the required or defined level of security for a specific VPN. This paper addresses the security mechanisms selection problem by proposing a MCDM model for structuring the VPN selection decision problem. Data collected from the Government Network Project (GovNet) being implemented in Mozambique was used to support both the development and validation of the Model.

  • 18.
    Chemane, Lourino
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Popov, Oliver
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cossa, T.
    MCDM Model for Selecting Internet Access Technologies: A Case Study in Mozambique2005In: EUROCON 2005: The International Conference on "Computer as a Tool", Proceedings, volume II, 2005, p. 1738-1741Conference paper (Refereed)
    Abstract [en]

    The development of Internet, networking and access technologies is providing a wide variety of Internet interconnection alternatives. The availability of several options in the Internet interconnection market makes it difficult to select the "optimal" alternative for a specific end-user in a specific context. A MCDM based model for structuring and solving the Internet access technologies selection decision problem is proposed. The applicability and validation of this approach is demonstrated in a case study in Mozambique

  • 19.
    Chemane, Lourino
    et al.
    UTICT, Mozambique.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Popov, Oliver
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Saifodine, Z.
    Government Network and ISP Selection Model - Mozambique Case Study2005In: Innovation and the Knowledge Economy: Issues, Applications, Case Studies / [ed] Paul Cunningham & Miriam Cunningham, Amsterdam: IOS Press , 2005Conference paper (Refereed)
  • 20.
    Cunningham, Paul
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. IIMC / IST-Africa, Ireland.
    Cunningham, Miriam
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. IIMC / IST-Africa, Ireland.
    Ekenberg, Love
    International Institute for Applied, Systems Analysis (IIASA), Austria.
    Assessment of potential ICT-related collaboration and innovation capacity in east Africa2015In: 2015 IEEE Global Humanitarian Technology Conference (GHTC): Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 100-107Conference paper (Refereed)
    Abstract [en]

    Due to a significant investment in digital infrastructure and a pro-innovation policy and regulatory framework, the Innovation Ecosystems in Nairobi, Dar es Salaam and Kampala have considerably expanded over the last five years, incorporating new national and international Innovation Stakeholders. This is important in the context of realising the objectives of National Development Plans, and addressing high levels of youth and graduate unemployment. This paper presents a sub-set of results from a comprehensive baseline analysis of Innovation Ecosystems in these cities with a focus on assessing the current level of ICT-related Collaboration, Innovation Absorption capacity and challenges to be addressed. In order to benefit from these developments, it is recommended that the public sector take a leadership role in establishing necessary mechanisms that will stimulate multi-stakeholder collaboration amongst existing Innovation Actors to foster a sustainable Collaborative Open Innovation and Entrepreneurial culture.

  • 21.
    Cunningham, Paul
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cunningham, Miriam
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Baseline Analysis of 3 Innovation Ecosystems in East Africa2014In: 2014 International Conference on Advances in ICT for Emerging Regions (ICTer), 2014, p. 156-162Conference paper (Refereed)
    Abstract [en]

    The potential impact of computing innovations supporting social and economic development (particularly in developing countries) is very dependent on the level of maturity of National Innovation Ecosystems (including policy environment, infrastructure and socio-economic diversification). East Africa has experienced significant growth in ICT-enabled Innovation (particularly mobile) in recent years. Kenya, Tanzania and Uganda have experienced considerable entrepreneurial growth, facilitated by Innovation friendly regulatory environments, evolution of National Research Education Networks (NReNs) and rollout of fibre optic backbones. While it is clear that ICT, Job Creation and developing a Knowledge Economy are common policy priorities, the Innovation Ecosystems in Nairobi, Dar es Salaam and Kampala are quite fragmented. While support for entrepreneurship is improving, Innovation Spaces have sustainability challenges with their business models and there is a limited availability of funding, and training and mentoring for entrepreneurs. Greater collaboration between different stakeholders and more efficient support systems are required to promote accelerated development. In this paper, we provide a survey of the key Innovation Stakeholders in Nairobi, Dar es Salaam and Kampala. This is based on semi-structured face to face interviews (November 2012 – February 2013), supplemented by IST-Africa Surveys, focus group engagement during Research and Innovation Stakeholder workshops, and supported by desk research, follow-up e-mails and telephone interviews to reflect developments up to July 2014.

  • 22.
    Cunningham, Paul
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Cunningham, Miriam
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Factors Impacting on the Current Level of Open Innovation and ICT Entrepreneurship in Africa2016In: Electronic Journal of Information Systems in Developing Countries, ISSN 1681-4835, E-ISSN 1681-4835, Vol. 73Article in journal (Refereed)
    Abstract [en]

    Across Africa, Innovation and ICT entrepreneurship are increasingly recognised as important enablers of national and regional socio-economic growth. However, the level of skills capacity, indigenous entrepreneurial expertise and policy support varies considerably. This research study was informed by a semi-structured, moderated focus group involving five public and four education and research stakeholders from eight African Member States. It focused on identifying factors impacting on the current level of open innovation and ICT entrepreneurship in Africa. Organised in Lilongwe, Malawi on 08 May 2015 during IST-Africa Week 2015, a purposive approach was applied to identify the nine informants based on intensity sampling. The results highlighted six main factors: a) level of political will reflected by resource prioritisation; b) alignment with national development plans and associated funding priorities; c) level of understanding of strategic benefits by ministers and senior civil servants; d) level of awareness and sensitization of the general public, e) availability of national innovation and entrepreneurial expertise; and f) willingness and capacity to cooperate with other stakeholders to achieve common goals. Future research will capture perspectives from the private, societal and international donor sectors, and create and validate potential models/methodologies to address the challenges and opportunities identified in this study.

  • 23.
    Cunningham, Paul
    et al.
    IIMC / IST-Africa, Ireland.
    Cunningham, Miriam
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. IIMC / IST-Africa, Ireland.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. IIASA, Austria.
    Stakeholder Roles and Potential Models to Support Collaborative Open Innovation in East Africa2015In: Proceedings of the 13th International Conference on Social Implications of Computers in Developing Countries / [ed] Petter Nielsen, Oslo: University of Oslo , 2015, p. 63-77Conference paper (Refereed)
    Abstract [en]

    This paper provides an analysis of the Innovation Ecosystems for three representative instances in East Africa: Nairobi (Kenya), Dar es Salaam (Tanzania) and Kampala (Uganda). The authors propose that to maximise the impact of innovation systems in a developing country context, innovation interventions (including ICT4D) must (a) facilitate shared, local ownership, with objectives driven by end-user community needs and taking account of previous interventions, good practices and socio-cultural norms; (b) be co-designed, co-created or adapted in consultation with key Innovation Stakeholders; (c) strengthen the capacity of local beneficiary and/or contributing Stakeholders and (d) address sustainability and wider socio-economic impact after the interventions ends. Innovation (including ICT4D interventions) that do not address these issues run the risk of damaging the local Innovation Ecosystem or breaching trust with local stakeholders, by not taking account of local socio-cultural differences or not adequately addressing expectations raised.

  • 24. Cöster, Mathias
    et al.
    Westelius, Alf
    Gullberg, Cecilia
    Wettergren, Gunnar
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Organisering och digitalisering: att skapa värde i det 21:a århundradet2017Book (Other academic)
    Abstract [sv]

    Digitaliseringen gör att förändringar sker allt snabbare. Förändringarna innebär stora möjligheter men lika stora risker. För att kunna utnyttja möjligheterna måste vi anpassa oss. Och vi måste göra det medvetet. Förändringarna ger organisationer bättre förutsättningar än någonsin för att lyckas, men för att lyckas behöver man förstå och utnyttja dem. Vissa klarar det, andra inte. Att digitalisera framgångsrikt är inte enkelt. Den här boken visar hur organisationer skapar värde i en digitaliserad verklighet. Boken går igenom digitalisering med utgångspunkt i vad en organisation egentligen är och vad den behöver. Den spänner över mål, affärsmodeller, strategier, organisering, beslut och projekt. Tyngdpunkten ligger på hur man strukturerar för att få effektivare beslutshantering och mer framgångsrika projektgenomföranden. Eftersom beslut och project är grundpelare för att kunna använda digitaliseringen. Boken lämpar sig särskilt väl för kurser i företagsekonomi, industriell ekonomi och data- och systemvetenskap. Men den vänder sig till alla som vill förstå hur organisationer ska hantera och dra nytta av digitaliseringen.

  • 25.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Programvaruutveckling.
    A Method for Decision and Risk Analysis in Probabilistic and Multiple Criteria Situations2007Patent (Other (popular science, discussion, etc.))
  • 26.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems2013In: Integrated Catastrophe Risk Modeling: Supporting Policy Processes / [ed] Aniello Amendola, Tatiana Ermolieva, Joanne Linnerooth-Bayer, Reinhard Mechler, Dordrecht: Springer Netherlands, 2013, p. 231-244Chapter in book (Other academic)
  • 27.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    A Robustness Study of State-of-the-Art Surrogate Weights for MCDM2017In: Group Decision and Negotiation, ISSN 0926-2644, E-ISSN 1572-9907, Vol. 26, no 4, p. 677-691Article in journal (Refereed)
    Abstract [en]

    A vast number of methods for solving multi-criteria decision problems have been suggested for assessing criteria weights requiring more exact input data than users normally are able to provide. In particular, the selection of adequate criteria weights is difficult and in order to be realistic, other methods must be introduced. One class of such methods is to introduce so called surrogate weights, where numerical weights are assigned to each criterion based on a cardinal or ordinal rank ordering, assumed to represent the information extracted from the user. One essential problem is the robustness of such methods. In this article, we compare state-of-the-art methods based on surrogate weights from the literature and, utilising a simulation approach, discuss underlying assumptions and robustness properties. This results in a quantitative measurement of these weighting methods and a methodology applicable also to forthcoming methods.

  • 28.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    An improvement to swing techniques for elicitation in MCDM methods2019In: Knowledge-Based Systems, ISSN 0950-7051, E-ISSN 1872-7409, Vol. 168, p. 70-79Article in journal (Refereed)
    Abstract [en]

    Several approaches that utilise various questioning procedures to elicit criteria weights exist, ranging from direct rating and point allocation to more elaborate methods. However, decision makers often find it difficult to understand how these methods work and how they should be comprehended. This article discusses the SWING family of elicitation techniques and suggests a refined method: the P-SWING method. Based on this, we provide an integrated framework for elicitation, modelling and evaluation of multi-criteria decision problems.

  • 29.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Architectural Considerations for Decision Analysis Software2016In: New Trends in Software Methodologies, Tools and Techniques / [ed] Hamido Fujita, George Angelos Papadopoulos, IOS Press, 2016, p. 3-14Conference paper (Refereed)
    Abstract [en]

    In classic decision theory, it is assumed that a decision-maker can assign precise numerical values corresponding to the true value of each consequence, as well as precise numerical probabilities for their occurrences. However, in real-life situations, the ordering of alternatives from most to least preferred is often a delicate matter and an adequate mathematical representation is crucial. In attempting to address real-life problems, where uncertainty about data prevails, some kind of representation of imprecise information is important and several have been proposed. However, general methods have turned out to be insufficient and we demonstrate in this article that there is not one set of coding techniques that result in the best performing software for decision analysis.

  • 30.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Programvaruutveckling.
    Computing Upper and Lower Bounds in Interval Decision Trees2007In: European Journal of Operational Research, Vol. 181, no 2, p. 808–816-Article in journal (Refereed)
  • 31.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Development of Software for Decision Analysis2013In: 12th IEEE International Conference on Intelligent Software Methodologies, Tools and Techniques, IEEE Computer Society, 2013, p. 171-177Conference paper (Refereed)
    Abstract [en]

    To be useful in reality, decision analytical tools must be able to handle imprecise information. This paper presents the algorithmic software design against a background of an evaluation method for analysing decision situations under semi-strong uncertainty. The design is built on a relaxation of the requirement for precise utilities, probabilities, and weights. To handle this, the calculations involved become computationally intensive to match an interactive work flow and the approach required implementation of new algorithms. We describe some particularly interesting implementation aspects of these and show how these computations can be tractable.

  • 32.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Efficient and Sustainable Risk Management in Large Project Portfolios2018In: Perspectives in Business Informatics Research: Proceedings / [ed] Jelena Zdravkovic, Jānis Grabis, Selmin Nurcan, Janis Stirna, Springer, 2018, p. 143-157Conference paper (Refereed)
    Abstract [en]

    In an ever-increasing competitive business environment, it has become increasingly important to be able to obtain efficient and sustainable business operations not only by efficient core procedures but also by being able to minimise losses incurred by risk taking. The latter by handling both operational risks and financial risks in a unified model. This is important not least in businesses that handle sets of simultaneous large projects, which is the topic of risk handling in project portfolios. In this paper, we present a novel method for business risk handling for project portfolios under strong uncertainty. The method is based on event trees representing each adverse consequence modelled, together with mitigation costs and effects. The aggregation of all consequences for all projects together constitutes the risk portfolio for the business. This method is used in one of Sweden’s largest manufacturing enterprises having a vast portfolio of projects in the form of ongoing tenders for orders.

  • 33.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rank Ordering Methods for Multi-Criteria Decisions2014In: Group Decision and Negotiation. A Process-Oriented View: Proceedings, Springer, 2014, p. -135Conference paper (Refereed)
    Abstract [en]

    Criteria weights are typically cognitively demanding to elicit and numeric precision is problematic since information in real-life multi-criteria decision making often is imprecise. One important class of methods rank the criteria and receive a criteria ordering which can be handled in various ways by, e.g., converting the resulting ranking into numerical weights, so called surrogate weights. In this article, we analyse the relevance of these methods and to what extent some validation processes are strongly dependent on the simulation assumptions. We also suggest more robust methods as candidates for modelling and analysing multi-criteria decision problems of this kind.

  • 34.
    Danielson, Mats
    et al.
    Institutionen för data- och systemvetenskap, , .
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Software Development of Linear Programming Algorithms for Decision Analysis Applications2011In: Journal of Communication and Computer, ISSN 1548-7709, no 8, p. 793-806Article in journal (Refereed)
  • 35.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Space-Time Trade-Off in Decision Analysis Software2018In: New Trends in Intelligent Software Methodologies, Tools and Techniques / [ed] Hamido Fujita, Enrique Herrera-Viedma, IOS Press, 2018, p. 251-258Conference paper (Refereed)
    Abstract [en]

    In decision analysis, there are several problems with the assignment of precise numbers to decision components, such as probabilities, values and weighs. These can very seldom realistically be estimated. Therefore, various alternative approaches have been suggested over the years, such as interval, capacity and ranking models. The more general of these are however problematical from several computational viewpoints and in this article, we deal with the server-side issues when converting the application from a stand-alone PC program to a server-client decision analytical software. On a server with a large number of users, space requirements become paramount as opposed to a single user on a PC. On a PC, matrices can be explicitly stored in memory, while on a server, to save space, matrices might have to be stored in an implicit (compacted) way, leading to space-time trade-offs.

  • 36.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    The Car Method for using Preference Strength in Multi-Criteria Decision Making2016In: Group Decision and Negotiation, ISSN 0926-2644, E-ISSN 1572-9907, Vol. 25, no 4, p. 775-797Article in journal (Refereed)
    Abstract [en]

    Multi-criteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes, and in particular the lack of practical means supporting it, is still a significant problem in real-life applications of MCDA. There is obviously a need for methods that neither require formal decision analysis knowledge, nor are too cognitively demanding by forcing people to express unrealistic precision or to state more than they are able to. We suggest a method, the CAR method, which is more accessible than our earlier approaches in the field while trying to balance between the need for simplicity and the requirement of accuracy. CAR takes primarily ordinal knowledge into account, but, still recognizing that there is sometimes a quite substantial information loss involved in ordinality, we have conservatively extended a pure ordinal scale approach with the possibility to supply more information. Thus, the main idea here is not to suggest a method or tool with a very large or complex expressibility, but rather to investigate one that should be sufficient in most situations, and in particular better, at least in some respects, than some hitherto popular ones from the SMART family as well as AHP, which we demonstrate in a set of simulation studies as well as a large end-user study.

  • 37.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute of Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute of Applied Systems Analysis, IIASA, Austria.
    Trade-Offs for Ordinal Ranking Methods in Multi-Criteria Decisions2017In: Group Decision and Negotiation. Theory, Empirical Evidence, and Application: 16th International Conference, GDN 2016, Bellingham, WA, USA, June 20-24, 2016, Revised Selected Papers / [ed] Deepinder Bajwa, Sabine T. Koeszegi, Rudolf Vetschera, Springer, 2017, p. 16-27Conference paper (Refereed)
    Abstract [en]

    Weight elicitation methods in multi-criteria decision analysis (MCDA) are often cognitively demanding, require too much precision and too much time and effort. Some of the issues may be remedied by connecting elicitation methods to an inference engine facilitating a quick and easy method for decision-makers to use weaker input statements, yet being able to utilize these statements in a method for decision evaluation. One important class of such methods ranks the criteria and converts the resulting ranking into numerical so called surrogate weights. We analyse the relevance of these methods and discuss how robust they are as candidates for modelling decision-makers and analysing multi-criteria decision problems under the perspectives of several stakeholders.

  • 38.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute of Applied Systems Analysis, IIASA, Austria.
    Using Surrogate Weights for handling Preference Strength: 15th International Conference, GDN 2015, Warsaw, Poland, June 22-26, 2015, Proceedings2015In: Outlooks and Insights on Group Decision and Negotiation / [ed] Bogumił Kamiński, Gregory E. Kersten, Tomasz Szapiro, Springer, 2015, Vol. 218, p. 107-118Conference paper (Refereed)
    Abstract [en]

    Various proposals for how to eliminate some of the obstacles in multi-criteria decision making exist and methods for introducing so called surrogate weights have proliferated for some time in the form of ordinal ranking methods for the criteria weights. Considering the decision quality, one main problem is that the input information to ordinal methods is often too restricted. At the same time, decision-makers often possess more background information, for example regarding the relative strengths of the criteria, and might want to use that. Thus, some form of strength relation often exists that can be utilised when transforming orderings into weights. In this article, using a quite extensive simulation approach, we suggest a thorough testing methodology and analyse the relevance of a set of ordering methods including to what extent these improve the efficacy of rank order weights and provide a reasonable base for decision making.

  • 39.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekengren, Anders
    Hökby, Torsten
    Lidén, Jan
    A Process for Participatory Democracy in Electronic Government2008In: Journal of Multi-Criteria Decision Analysis, ISSN 1057-9214, E-ISSN 1099-1360, Vol. 15, no 1-2, p. 15-30Article in journal (Refereed)
    Abstract [en]

    This paper presents a project and case study integrating decision methods into democratic processes. The case discussed is a set of three complicated decisions in a municipality in Sweden. The decisions had been postponed on several occasions prior to bringing in the method described in the paper. The method employed consists of two main parts. The interaction part contains the communication channels directed to the stakeholders. The decision-process part consists of a three-layered working process model. As a part of the method, the project was highly visible on the web. Citizens were encouraged to submit material to the project. All intermediate results of the process were continuously published, enhancing transparency. For each decision, the analysis consisted of comparing all alternatives, taking the respective criteria into account as weighted or ranked by the participants. A method for recording compromises analytically was also used. The purpose was not to replace the political process but to support it in a structured way.

  • 40.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Grönlund, Å.
    Larsson, A.
    Public Decision Support - Using a DSS to Increase Democratic Transparency2005In: International Journal of Public Information Systems, ISSN 1653-4360, Vol. 1, no 1Article in journal (Refereed)
    Abstract [en]

    We present a case study in which a decision support method (ADL) was employed by a local government in order to guide and aid decisions on three complicated and politically infected issues which had remained unresolved for many years. The research inquiry was whether a well-defined and openly accessible method would aid a common understanding of the decision problems, and whether people would be able to accept a clearly motivated decision even if politically they preferred a different option. The ADL method has been used in several public sector projects ranging from very large purchasing decisions to the selection of national policies, but this test case was novel in that it involved close inspection by the public. This case was also devised as a test of new methods for potential inclusion into normal practices. The post-case analysis shows mixed understanding of and belief in the method. The results raise issues concerning both the potential for decision support methods in a political context and the nature of political decision making.

  • 41.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Laxenburg, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, Laxenburg, Austria.
    Göthe, Mattias
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Department of Information and Communications Systems, Mid Sweden University, Sundsvall, Sweden.
    A Decision Analytical Perspective on Public Procurement Processes2016In: Real-World Decision Support Systems: Case Studies / [ed] Jason Papathanasiou, Nikolaos Ploskas, Isabelle Linden, Cham: Springer, 2016, p. 125-150Chapter in book (Other academic)
    Abstract [en]

    If procurement processes are to be taken seriously, purchase managers need decision support tools beyond those that only ascertain that the formal requirements are met. This chapter demonstrates some fundamental flaws with common models used in procurement situations, flaws that are so serious that the evaluations of tenders often become meaningless and may lead to large and costly miscalculations. We demonstrate how the equitability of the tender evaluations can be significantly improved through the use of multi-criteria decision analysis with numerically imprecise input information. Due to this, the computational part of the evaluation step becomes more complex, and algorithms targeted for decision evaluation with imprecise data are used. We therefore present a procurement decision tool, Decide IT, implementing such algorithms that can be used as an instrument for a more meaningful procurement process. Of importance is to allow for a more realistic degree of precision in the valuation and ranking of tenders under each evaluation criterion, as well as the associated weighting of the criteria, since the criteria are often of a more qualitative nature. Through this, both quantitative and qualitative statements could be easily managed within the same framework and without the need to introduce ad-hoc and often arbitrary conversion formulas supposed to capture the trade-off between criteria.

  • 42.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Hansson, Karin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Idefeldt, Jim
    Larsson, Aron
    Påhlman, Mona
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Riabacke, Ari
    Sundgren, David
    Högskolan i Gävle.
    Cross-Disciplinary Research in Analytic Decision Support Systems2006In: ITI 2006: proceedings of the 28th International Conference on Information Technology Interfaces / [ed] V. Luzar-Stiffler & V. Hljuz Dobric, Zagreb: University Computing Centre SRCE, University of Zagreb , 2006, p. 123-128Conference paper (Refereed)
    Abstract [en]

    A main problem in decision support  contexts is that unguided decision making is difficult and can lead to inefficient decision processes and undesired consequences. Therefore, decision support systems (DSSs) are of prime concern to any organization and there have been numerous approaches to delivering decision support from, e.g., computational, mathematical, financial, philosophical, psychological, and sociological angles. A key observation, however, is that effective and efficient decision making is not easily achieved by using methods from one discipline only. This paper describes some efforts made by the DECIDE Research Group to approach DSS development and decision making  tools in a cross-disciplinary way.

  • 43.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    He, Ying
    Augmenting Ordinal Methods of Attribute Weight Approximation2014In: Decision Analysis, ISSN 1545-8490, E-ISSN 1545-8504, Vol. 11, no 1, p. 21-26Article in journal (Refereed)
    Abstract [en]

    Multicriteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes and the lack of supporting practical means are problematic in real-life applications. Various proposals have been made for how to eliminate some of the obstacles and methods for introducing so-called surrogate weights have proliferated in the form of ordinal ranking methods for criteria weights. Considering the decision quality, one main problem is that the input information allowed in ordinal methods is sometimes too restricted. At the same time, decision makers often possess more background information, for example, regarding the relative strengths of the criteria, and might want to use that. We propose combined methods for facilitating the elicitation process and show how this provides a way to use partial information from the strength of preference judgment over weights in assessing weights for multiattribute utility functions.

  • 44.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Programvaruutveckling.
    Idefeldt, J
    Larsson, Aron
    Using a Software Tool for Public Decision Analysis - the Case of Nacka Municipality2007In: Decision Analysis, Vol. 4, no 2, p. pp. 76-90Article in journal (Refereed)
  • 45.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kollerbaur, Anita
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Salberg Ström, Helena
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rätt utvärdering ger rätt leverantör2013In: Upphandling24, ISSN 1654-725X, no 5, p. 44-48Article in journal (Refereed)
  • 46.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. International Institute for Applied Systems Analysis, IIASA, Austria.
    Komendantova, Nadejda
    A Multi-Stakeholder Approach to Energy Transition Policy Formation in Jordan2018In: Group Decision and Negotiation in an Uncertain World: Proceedings / [ed] Ye Chen, Gregory Kersten, Rudolf Vetschera, Haiyan Xu, Cham: Springer, 2018, p. 190-202Conference paper (Refereed)
    Abstract [en]

    We present the method used in an ongoing project in Jordan for a multi-stakeholder, multi-criteria problem of formulating a nationwide energy strategy for the country for the next decades. The Jordanian government has recognized the need for energy transition and the main goal of the energy strategy is to provide a reliable energy supply by increasing the share of local energy resources in the energy mix, while reducing dependency on imported fossil fuels, by diversifying energy resources, also including renewable energy sources, nuclear and shale oil, and by enhancing environmental protection. There were strong incentives for a collaborative approach, since the ways in which different stakeholder groups subjectively attach meanings to electricity generation technologies are recognized as important issues shaping the attainment of energy planning objectives. To understand the meaning of these constructs, we are using a multi-stakeholder multi-criteria decision analysis (MCDA) approach to elicit criteria weights and valuations.

  • 47.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Programvaruutveckling.
    Larsson, Aron
    Distribution of Belief in Decision Trees2007In: International Journal of Approximate Reasoning, Vol. 46, no 2, p. pp. 387-407Article in journal (Refereed)
  • 48.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Generalised Risk Constraints in Decision Trees with Second-Order Probabilities2012In: Advances in Economics, Risk Management, Political and Law Science: Proceedings of the 1st WSEAS International Conference on Economics, Political and Law Science (EPLS '12). Proceedings of the 1st WSEAS International Conference on Risk Management, Assessment and Mitigation (RIMA '12) / [ed] D. Pavelkova, J. Strouhal, M. Pasekova, World Scientific and Engineering Academy and Society, 2012, p. 376-383Conference paper (Refereed)
    Abstract [en]

    Recently, representations and methods analysing decision problems where probabilities and values (utilities) are associated with belief distributions over them (second order representations) have been suggested. Inthis paper we present an approach to how imprecise information can be modelled by means of second-order distri-butions and how a risk evaluation process can be elaborated by integrating procedures for numerically impreciseprobabilities and utilities. We discuss some shortcomings in the use of the principle of maximising the expectedutility and of utility theory in general, and offer remedies by the introduction of supplementary decision rules basedon a concept of risk constraints taking advantage of second-order distributions.

  • 49.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Riabacke, Mona
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Transparent Public Decision Making: Discussion and Case Study in Sweden2010In: e-Democracy:  A Group Decision and Negotiation Perspective / [ed] David Ríos Insua, Simon French, Dordrecht: Springer , 2010, no 1, p. 263-281Chapter in book (Other academic)
    Abstract [en]

    The Swedish city of Örebro has since long faced complex problems with poor water quality in a local river. This problem is a typical example of a regional decision problem, since there are several different stakeholders that might be affected, and there are different views on the need for, and effect of, different measures. The problems also strongly relate to the environmental condition of the river and involve other municipalities as well. In this chapter, we describe how to address this problem using an implementation of a systematic democratic deci-sion process for enhancing the transparency and the decision quality in itself. The process is in conformity with common democratic processes, but with higher em-phasis on accuracy and precision and on the interaction between civil servants and decision makers. A main issue here is to clearly separate the various views in-volved in these processes from the actual facts and, at the same time, facilitate input from various stakeholders. Therefore, we allow for modelling of outcomes based on different preferences and facilitate an elicitation process where views are extracted and combined with basic data from the background investigations preceding the decision. The process is divided into two stages. The first one is em-phasized in this chapter and concerns the internal democracy, i.e. the formulation and refinement of the original and extended decision problems and the interaction between politicians and civil servants, while the second stage deals with the external democracy, i.e. the communication with the public, where communication channels directed towards citizens will be formed.

  • 50.
    Danielson, Mats
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Riabacke, Mona
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process2014In: International Journal of Computational Intelligence Systems, ISSN 1875-6891, Vol. 7, no S1, p. 105-112Article in journal (Refereed)
    Abstract [en]

    The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less cognitively demanding. Furthermore, it should not be too time consuming and must be able to actually use of the information the decision-maker is able to supply. In this paper, we propose a useful weight elicitation method for MAVT/MAUT decision making, which builds on the ideas of rank-order methods, but increases the precision by adding numerically imprecise cardinal information as well.

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