2014 - DSS2.0: Supporting Decision Making with New Technologies

Paris, France, 2-5 June

Proceedings edited by Gloria Phillips-Wren, Sven Carlsson, Ana Respicio and Patrick Brezillon


Title Pages
Rajkovič, U., Dinevski, D., Sustersic, O. and Rajkovič, V.
Keywords:Health Care Decision Support Qualitative Modelling Nursing

Evaluating patient’s health status can be viewed as a multi attribute decision making (MADM) problem. Patients’ problems are evaluated on the basis of symptoms. Contemporary information technology enables application of theoretical methods in practice. Such case is Henderson’s model of basic leaving activities for patient health evaluation in nursing. In the paper we present the implementation of this model using DEX methodology. DEX is a qualitative MADM tool and offers user friendly acquisition and explanation of expert knowledge. The solution was tested in clinical practice and evaluated by using SWOT (strengths, weaknesses, opportunities and threats) analysis.

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3-11
Cheung, W. L. and Burstein, F.
Keywords:Medical Decision Making Online Information Provision Health Information Systems Autism Spectrum Disorders

The emerging trend in treatment decision making for complex medical conditions is shifting to a collaborative model, where patients actively participate as decision makers. To facilitate this, online medical information must be fitting to the purpose of making sound treatment decisions. Underpinned by Herbert Simon’s Nobel-winning work Administrative Behavior, we examine the treatment decision process in the context of Internet health information provision. Based on Simon’s propositions, we propose a set of decision support features for evaluating Internet health information websites. We then use them to evaluate official Australian and international websites for Autism Spectrum Disorders (ASD), where the need for treatment decision support is prominent due to the diverse nature of the condition. The evaluation results indicate a general inadequacy in terms of Relevance under the Value proposition among the websites. Genuine individualized information based on patient’s profile of symptoms, delivered by intelligent personalization technologies, should be further deployed to address this inadequacy. The theoretical contributions of this paper are: i) bridging online information quality model and classical decision making theory, and ii) analyzing online information provision based on Simon’s bounded rationality. Whilst, the practical contributions are: i) to provide a set of decision support features as guidelines for ASD websites that ii) are extendable to other health domains and different technologies.

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12-23
Rossignoli, C., Zardini, A. and Benetollo, P.
Keywords:Electonic Medical Record Italy Health Care Decision Process Case Studies

The purpose of this research is to analyse the organisational becoming produced by the implementation of the digitalised system for the Request and Medical Reports of Radiologic Examinations inside the Academic Integrated Hospital of Verona (AOUI) and by the related effects on the actors who interact with it. This system represents a module that will merge into the project of the Electronic Case History, which is currently underdeveloped. The adopted methodology is the qualitative study based on semi-structured interviews. Twelve people have been interviewed among the hospital’s representatives, including the directorate (one interview), health management (two interviews), chief of information systems (one interview), radiologists (four interviews), radiology and neurology technicians (two interviews), health physicists (one interview), head nurse of the medicine ward and some nurses. This study highlights positive and negative elements on the organisational level and on the level concerning all people involved in the becoming.

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24-35
Kim, K. D. and Hossain, L.
Keywords:Health Care Influenza Epidemics Social Media Analytics

This study aims at the possibility of early detection of seasonal influenza causing a major public health concern each year worldwide. Furthermore, the viability of social media analytics for the early detection of disease outbreak is examined. To conduct an analysis, three sets of data are used and investigated; search query data and two influenza related data collected from the nine US census bureau divisions on a weekly basis during a period from week 1, 2012 to week 52, 2013 from Google and Centers for Disease Control and Prevention (CDC), respectively. Pearson’s correlation coefficient is calculated among the data as a statistical measure of the strength of a relationship, and the significant Pearson’s rho confirms the existence of a very strong positive correlation. This study argues that the relative frequency of search queries is highly correlated with the actual number of influenza activity in each division of the US, and that social media analytics may be utilized to make an early detection of influenza epidemics possible. The importance of a detailed analysis is also discussed to assess the statistical methods for the phenomenon because the data from Google is still in its early stage which may contain inaccuracies.

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36-41
Al Qassas, M., Fogli, D., Giacomin, M. and Guida, G.
Keywords:Decision Support Clinical Discussions Argumentation Schemes Knowledge Management Health Care

This paper proposes a new approach to support medical decision making based on the analysis of multidisciplinary clinical discussions, which are becoming routine in hospitals and other health structures. In a medical discussion, participants make important pieces of knowledge explicit, by presenting different opinions, providing evidences that support hypotheses, and possibly arguing about clinical guidelines. However, this knowledge is often lost after the meeting is closed, since only the final decisions are written in patient records. Therefore, a computer-based system is proposed to help physicians manage clinical discussions, analyze them by means of argumentation-based techniques, and arrive, in the long run, at a synthesis of new knowledge fragments useful for future decisions. A preliminary experimentation of the system is presented in the domain of cognitive degeneration diseases.

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42-53
Delir Haghighi, P., Burstein, F., Churilov, L. and Patel, A.
Keywords:DSS Evaluation Mobile Decision Support Clinical DSS Triage Health Care

Mobile Clinical Decision Support Systems (CDSS) aim to assist medical practitioners with decision making and provide an easy access to information on the move using mobile devices such as a mobile phone. Despite many benefits of mobile CDSS, these systems need to undergo a comprehensive evaluation to determine the correctness of the actions that decision maker take and validate the system's knowledge and recommendation. In this paper, we discuss the impact of mobile CDSS on decision making process and outcomes, and describe the multi-criteria evaluation of a mobile field triage decision support system in terms of effectiveness, efficiency, satisfaction and use. In this research, data was collected from a group of qualified paramedics using both quantitative and qualitative methods. The results and findings shed new light on the role of mobile decision support systems in improving healthcare delivery and provided better understanding of the barriers to the adoption of these systems and the impact of different stakeholders’ views in evaluating the success of the DSS.

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54-65
Mohamad Noor, N. M. and Ab Hamid, S. H.
Keywords:DSS Fuzzy Inference System Triangular Membership Function Trapezoidal Membership Function Crime Prevention

Recently, crime prevention is one of the overall strategies to reduce crime around the world including Malaysia. This is in lines with one of the Malaysian government agendas as stated in National Key Result Area (NKRA) which is to reduce crime. Because of the decision making process for crime prevention is manually done by the police, so it is difficult to determine the level of crime based on crime volume. That requires a method of selection to help the police to determine which is the most appropriate decision based on the level of crime. Therefore, this research developed prototype of decision support system (DSS) by using Mamdani-type fuzzy inference system (FIS) to classify the crime level and to improve the process of decision making for crime prevention. But, it is well-known that selection of membership functions (MF) is the key problem in the design of a FIS. Therefore, this paper outlines the basic comparisons between the triangular MF and trapezoidal MF. The experimental results of the two MFs are compared. It also shows which one is a better choice of the two MFs used in FIS in order to improve the efficiency of decision making for crime prevention. The result of the study indicates that triangular MF gives better classification of crime level but trapezoidal MF gives result closer to triangular MF.

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69-79
Brézillon, P., Attieh, E. and Capron, F.
Keywords:Medical Decision Making Decision Process Context Contextual Graphs Knowledge Representation Glocal Search Voting

This work focuses on the formalization of medical practices in chronic inflammatory bowel disease diagnosis as a contextual graph to identify a consensual methodology. Expert knowledge is more than domain knowledge because expert knowledge emerges from a contextualization process and expertise appears as “chunks of contextual knowledge”. The knowledge acquisition phase and the modeling of the expertise were organized around three workshops about the choice of diseases to study, the observation of how pathologists worked, the identification of similarity of pathologists’ approaches and the proposal of a unified view. The “knowledge manager” was a physician knowing the expert knowledge used by experts but without their experience. A glocal search was identified in the decision-making process with a global exploration for detecting zones of interest, and a zoom inside zones of interest. This search concerns contextual elements at different levels of granularity as identified from the analysis of digital slides. The rest of the decision-making process includes the application of a set of criteria that are managed by a voting system that offers flexibility to address the variety of expert approaches. We discuss the role of the glocal approach in other domains like Control & Command rooms for the army and subway-line monitoring.

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80-91
Bohanec, M., Aprile, G., Costante, M., Foti, M. and Trdin, N.
Keywords:Decision Support Banking Reputation Risk Index Risk Hierarchical Multi-Attribute Model Aggreagation Sentiment

A decision support model aimed at the assessment of reputational risks associated with bank operation is presented in this paper. The innovative aspect of the model is that it combines different types and sources of information: structured and unstructured, quantitative and qualitative, internal and external. Unstructured, qualitative and external aspects are represented by sentiment of news and blogs about bank counterpart organisations. The model is multi-attribute and hierarchical, and is composed of three modules: basic data processing, qualitative evaluation, aggregation; these are described in detail. This paper also presents a prototype implementation of the model, illustrates its application on real-life data, and reports on experts’ opinion about the model and its use.

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92-103
Parisot, O., Didry, Y. and Tamisier, T.
Keywords:Regression Trees Clustering Perturbation Decision Support

Regression trees are helpful tools for knowledge discovery and decision support, due to their simple structure and the easiness to obtain them from data. Nonetheless, when applied to non-trivial datasets, they tend to grow according to the complexity of the data, becoming uneasy to interpret. In this work, we propose a clustering perturbation method to reduce the size of the regression tree obtained from each cluster. A prototype has been developed and tested on several regression datasets.

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104-109
Quinzanos, J. M., Cartas, A., Vidales, P. and Maldonado, A.
Keywords:Decision Making Business Rules Insurance Transactional Efficiency

In the insurance sector, the assignment of business transactions to operational roles in the business process is a complex task that usually requires human intervention due to the lack of efficient and powerful automated decision making tools. A number of mechanisms and methods have been proposed to improve workloads’ allocation in core business process in the insurance industry. This paper describes a novel solution, the iDispatcher, to efficiently assign and balance business transactions to line operators, in particular in the processes of underwriting and issuing policies. It is based on the use of a business rule engine that evaluates the intrinsic properties of a particular transaction and the specific abilities and technical skills of all available operators to find the best match. The iDispatcher benefits key business results by generating a more efficient operation based on the correct assignment of business transactions using a flexible and dynamic solution. The insurance companies will be able to make the right decision in the right moment for every incoming business request, and this represents a strategic difference in the market.

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110-119
Agahi, F.
Keywords:Organizing Decision Information Business Intelligence Metadata Decision Support Case Study

The focus in current decision management systems is on supporting selected decisions and transactional processes, rather than including decisions and information resulting from decisions and action processes over time. Thus, specific information is tailored to use specific DSS technology. The purpose of this research was to understand how decision information is organized in a complex, decision-rich organization. Documentation and archival records are the basis of this case study. An object-oriented framework with five key elements for linking decisions and information is introduced: issue, based-on, decision, agents, and consequence. It is suggested that an overall object-oriented approach would contribute to clarifying the decision context, the relationship to other decisions, and defining the roles and responsibilities of the decision and action team. Thus, the framework as a platform facilitates using different DSS technologies.

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120-131
Drosio, S.
Keywords:Web 2.0 Crisis Management Crisis Decision Support Information Systems Crowd Sourcing Information Management

This short paper aims to outline the possibillities of fully utilizing Web 2.0 technologies and methodologies to build IT tools supporting the information and decision process within crisis management. Being a sort of snapshot report, it depicts a portion of research and development efforts on the integrated decision support platform for crisis management which the author has been working on as part of a research team and whose original concept was presented at the last IFIP WG 8.3 conference in Greece.

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132-137
ClÍmaco, J., Fernandes, S. and Captivo, M. E.
Keywords:DSS Solid Waste Management Multicriteria Analysis Geographical Information Systems

In this paper, we discuss a case study regarding transfer stations siting in a Solid Waste Management System, building a multi-criteria model potentially adequate to the involvement of multiple actors. A Decision Support System (DSS), named SABILOC, integrating an Interactive Bi-objective Integer Programming Module and a Multi-attribute Module is used. The last module allows an a posteriori more detailed analysis of the solutions selected during the first module. Furthermore, the DSS includes meaningful graphical tools and integrates a Geographic Information System (GIS).

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141-152
O'Reilly, P., Duane, A., Prasath, R. and Andreev, P.
Keywords:Business Models Evaluation Prioritization Contingency Theory Multi-Attribute Utility Theory

Recently, most organisations feel the need to modify existing business models and create new ones to adjust themselves to a dynamically changing business environment. However, a review of the business models literature reveals a lack of an effective business model construction tool and prioritisation framework. This despite the fact that the need for such a framework is clear, with recent studies revealing that most organisations are modifying existing business models and creating new ones. This paper utilises extant theory to construct a process-based tool whose objective is to enable organisations to construct effective business models. Furthermore, it applies Multi-Attribute Utility Theory to construct a Business Model Prioritisation framework, a rigorous decision making tool in enabling managers to prioritise the developed business models for implementation. Therefore, this paper not only contributes to theory but also has significant practical implications for organisations.

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153-164
Creedon, F., O'Kane, T., O'Donoghue, J., Adam, F., Woodworth, S. and O'Connor, S.
Keywords:Design Science Design Knowledge Artefact Evaluation Clinical Reasoning Health Information Systems Decision Support Vital Sign Data Data Processing

This paper presents a design science evaluation of a vital sign chart for an Aggregate-Weighted Track-and-Trigger System (AWTTS) developed by the Irish Health Service Executive (HSE). This system is known as the National Early Warning Score (NEWS), with the chart incorporated within NEWS known as the Early Warning Score (EWS) Chart. Presentations of patient vital sign data on charts provides an opportunity for healthcare professionals (HCPs) to process vital sign data and identify trends of patient deterioration. Due to the reality of working in a complex work environment processing this data can be difficult for HCPs. This research evaluates how useful experienced nurses perceive the EWS chart to be in the context of supporting them in processing vital sign data presented on the NEWS chart. This paper represents a reflective data-gathering phase for the development of a design framework for improving how vital sign data is visualised on electronic AWTTS charts. This paper also utilises the approach for Reflective Design Knowledge Synthesis (RDKS) to synthesise design knowledge inherent to the NEWS chart. The empirical findings of this study involving interviews of 8 nurses with an average of 21 years’ experience demonstrate that the NEWS chart is significantly more useful than legacy vital sign charts that would have been previously used. Furthermore, the evaluation establishes which design features are perceived to be most useful for nurses when processing vital signs displayed on the NEWS chart.

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165-176
Adla, A., Frendi, M. and Benmessaoud, N.
Keywords:Collective Memory Case Based Reasoning Group Decision Support Systems

The realities of the past that are embedded in the repository and shared by later groups constitute the collective memory. This paper outlines the specification of a collective decision-making system that utilizes the work of prior groups stored in the collective memory. We describe an approach that uses group memory based reasoning. In an effort to enhance utility, our group memory system is tested in a bank loan analysis domain, a semi-structured decision-making environment involving multiple attributes. The main goals are to reduce the time required to come to a decision, particularly, in a critical situation, to compensate for lack of experience of young bank consultant, and to distribute available experience to different sites.

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177-188
Mohemad, R., Hamdan, A. R., Ali Othman, Z. and Mohamad Noor, N. M.
Keywords:Decision Support Systems Ontology Tendering

Tendering management is a large and fragmented process implemented in various industries such as construction, logistics, pharmaceutical, and commerce. Tendering process is vital for a governing body that intends to acquire any goods or services from third parties for ensuring fair and transparent competition. Current electronic tender management does not have the necessary capabilities to automatically extract unstructured information on the tender document and hence, requires the decision maker to examine the information contained on the document one by one. In addition, the isolated tendering process leads to the ineffective communication between different stakeholders such as owners/clients, consultants, and contractors/suppliers to share and reuse information especially during decision-making. The increasing inconsistent and semantic heterogeneity information for the decision-making process requires the need to represent knowledge in a uniform format that is understandable to both humans and computers. Thus, the ontology-based decision support system architecture for tendering management is proposed to support information extraction and decision-making process. A prototype of ontology-based decision support system is developed using the case study of the construction tender evaluation process.

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189-200
Wood, M., Milton, S. and Shanks, G.
Keywords:Personality Traits Information Behaviours Social Networks Information Diffusion Political Campaigns

The adoption of social analytics heralds the arrival of a new paradigm in political campaign practice, driven by both behavioural science and social networks. Yet these domains have historically been in tension with opposite perspectives on political behaviour. The increasing focus on online social networks offers an opportunity to synthesise complementary research traditions on political behaviour to better understand the relationship between individual personality and information behaviour. We propose a model based on core dispositional personality traits, political participation as information consumption and information diffusion theory to explain online information behaviour during election events. Information diffusion requires users to perform several actions in combination - engage, rate content, comment, share and interpret information received. The research model enables us to observe in experimental settings how personality type guides interaction with and diffusion of political information across online social networks. The learned behaviours and direct responses of participants may help political campaigns in the design of future behavioural targeting strategies that activate social network effects to achieve campaign goals.

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203-214
Kim-Chung, Y. R., Hossain, L., Chung, K. S. and Edwards, A.
Keywords:Expertise Discovery Social Network Disaster Management Coordination Theory

This preliminary research investigates the relationship between properties of social networks and coordination of sharing and access to expertise during disasters, which is extremely important in emergency response during disaster incidents. Therefore, knowing where specialized knowledge (expertise) is located, where it is needed and how it may be brought to bear in timely manner is extremely crucial. We also examine a theoretical model for the inherent role of social network structure, ties and position of actors for gaining access to and sharing of expertise. In this study, we explore specific questions such as –by: How centralization and efficiency in an individual’s social network associate with coordination?, and Would network constraint and tie strength in an individual’s social network negatively/positively associate with coordination?. The paper provides a theoretical account of how the social network-coordination model is developed and how the model has been preliminary validated by disaster management experts (CIO and managers) from State Emergency Services (SES), NSW, Australia. Results from semi-structured interviews with key managers from SES shows the significance of informal social network roles in their profession, especially for solving disaster management issues. Interviewees elaborate on the point of how social network directly enable their coordination at work. A research framework is also outlined in the conclusion section with directions for future social network analysis and research pathway.

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215-226
Skyrius, R.
Keywords:Complex Information Needs Decision Support Environment

The paper examines the complex part of business user information needs in terms of IT support and split of support functionality between IT and users. Several dimensions of information needs are combined in respect to possible potential of IT support, and compared to related approaches in other research. The relation between automated efficiency and human flexibility shows that in the process of user informing in complex situations, the “last mile” should be left to human information functions. Regarding this relation, possible ways of flexible satisfaction of complex information needs are discussed.

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227-238
Berndtsson, M., Admyre, M. and Strand, M.
Keywords:Complex Event Processing Decision SUpport Systems Fleet Management Systems Operational Business Intelligence Business Intelligence

This paper describes our approach and experiences of applying techniques in complex event processing to fleet management systems. Current fleet management systems do not have support for complex event processing, hence they are limited to reacting to simple events such as door open, and vehicle reached waypoint. We argue that fleet management systems can benefit from having support for complex event processing. In this paper we present an implemented fleet management system that supports complex event processing.

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241-252
Rivera, D. S. and Shanks, G.
Keywords:Business Analytics Resource-Based View Information Dashboard Design Design Science

Business analytics (BA) systems create value and provide competitive advantage for organisations. They involve technology and data infrastructure, BA capabilities, and business processes that provide useful insights and support decision-making. To provide value and competitive advantage, BA capabilities should be valuable, rare, inimitable and have organisational support (VRIO). In this paper, we develop and evaluate a prototype dashboard for the VRIO assessment of BA capabilities. The dashboard is intended to support the strategic management of BA capabilities. We discuss implications of the prototype dashboard for researchers and practitioners and suggest directions for future research.

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253-264
Gudfinnsson, K., Berndtsson, M. and Strand, M.
Keywords:Business Intelligence Business Analytics Complex Systems Volume Operations Analytic Maturity

Business intelligence (BI) has fundamentally changed how many companies conduct their business. In literature, focus has been on volume- operation companies that provide services to millions of customers. In contrast, complex-systems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results at a case of a complex-systems company with the overall aim to see how a complex-systems company has taken advantage of BI. In addition, a framework was used to measure the BI maturity of the company. Literature also emphasis that complex-system companies may benefit from adopting BI applications from volume-operations companies, but the results indicate that there may be a difference in the importance of BI tools, which in turn may negatively influence such cross-category adoptions.

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265-276
Gendron, M. S., Yeoh, W. and Swarr, R.
Keywords:Business Intelligence Mobile Cloud Big Data

In this paper, we propose the concept: the BI Sweet Spot. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. We provide an overview for each of the key components and explain how these three components support the BI Sweet Spot. We also discuss best practices for managing these essential components. This study is the first-of-its-kind work in the BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.

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279-290
Mackrell, D. and McDonald, C.
Keywords:Action Design Research Business Intelligence Data Warehouse Non-Profit Organization Decision Making Sense Making

The needs of non-profit organizations for accountability are no less than that of for-profit or public sector organizations, yet typically they allocate resources to front-line activities rather than organizational systems. A research and development project is being conducted that aims to develop a conceptual framework which would guide organizations in the non-profit sector in improving their decision-making and reporting performance through the adoption of business intelligence solutions. This paper uses and reflects on Action Design Research, a contemporary socio-technical approach that draws on action research and design research, as a means for framing the project's processes, products, and context. This paper contributes to the understanding of Action Design Research by reflecting on what it reveals about the case study and how related theories for ‘design and action' such as small wins and user participation can be brought into the Action Design Research framework.

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291-302
Tona, O. and Carlsson, S. A.
Keywords:Mobile Business Intelligence Mobile Business Intelligence Organizing Vision Adoption

Mobile Business Intelligence (m-BI) enhances the capabilities of organizations to take decisions ‘on-the-move’. M-BI emerged as an extension of BI and many companies have or are considering implementing it. Being an innovation, m-BI reflects an organizing vision, created by a broad community, which is prominent during the comprehension process of this innovation. Little is known how the organizing vision affects the decision to adopt a certain innovation, and moreover these studies are completely lacking within the m-BI area. A qualitative approach has been embraced and interviews with different organizations that have already decided to adopt m-BI have been conducted. This study revealed that industrial research reports, vendors marketing campaigns and success stories produced by the collaboration among vendors, analysts, journalist and early adopters have a strong influence on the early phases of the organizational decision-making process to adopt m-BI. Increasing internal and external legitimacy, reducing the risk to be left behind, gaining competitive advantage, following the footsteps of high-performing companies, increasing their prestige and reputation, are the main reasons for why organizations may start the decision- making process to adopt m-BI; all this under the umbrella of the organizing vision.

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303-313
Mengash, H. and Brodsky, A.
Keywords:Decision Guidance Group Recommender Systems Decision Optimization Group Decision Support Systems

This paper proposes a Decision-Guided Group Package Recommender (DG-GPR) framework, which provides recommendations on dynamically defined packages of products and services. This framework is based on: (1) defining the space of alternatives; (2) eliciting the utility function for each individual decision maker; (3) estimating the group utility function; (4) using the group utility function to find an optimal recommendation alternative; (5) constructing a set of diverse recommendations which contains the optimal recommendation alternative; and (6) applying a Hybrid Condorcet-Instant Runoff Voting method from social choice theories, to refine the recommendations. A preliminary experimental study is conducted which shows that the proposed framework significantly outperforms its previous extension which in turn had previously outperformed three popular aggregation strategies.

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317-328
Lederman, R. and Dreyfus, S.
Keywords:Decision Making Delivery Services Effectiveness Hospital Data Loss Information Systems Implementation

Hospitals often retain inadequate systems because they are concerned about the organisational and financial cost of IT investments that do not clearly lead to increased revenue. Previous work has not carefully examined the health care, organisational and business process issues caused by widespread under- investment in Health Information Systems, leading to compromised decision making. Methods: This paper describes the processes involved in a common data management problem in hospitals by investigating the use of a legacy semi- integrated system. It combines a number of methods in a novel way - interviews, surveys and a simulation - to show how data loss affects the length of service time for patients. Findings: The paper finds that data delay or loss inclines medical consultants to make decisions about patient care without full access to all requested data, leading to repeat patient scanning, risks to patients and costs to the system. Contribution: It examines how the processes leading to unreliable data delivery influence the decision-making behaviour of actors in a system. It shows how problematic processes lead to doctors making decisions even if data is absent and illustrates how inertia in adopting integrated health IS, providing improved decision support, can have an impact on patient care.

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329-340
Taghezout, N., Benkaddour, F. Z. and Benhacine, F. Z.
Keywords:Collaborative Manufacturing Collaborative Platform Web 2.0 Spunlace Non-Woven Production Small and Medium-Sized Enterprises Social Network Ontology Collaborative Platform

In this paper a collaborative WEB platform is proposed to implement the collaborative manufacturing environment. This is to offer maximum interoper- ability between all the distributed participants of a Collaborative Manufacturing Network (CMN) and their management information systems. Furthermore, this paper develops a simple framework to help to understand the collaboration that is afforded by Web 2.0 applications. The proposed framework is used to examine how production of agents can create, share and exchange experiences on diagnosis and resources failures with each other to have new ideas or useful information for the decision-making. The agent-based approach provides a collaborative WEB in- terface to facilitate the remote interaction with human users involved in the risk management process. The global collaborative decision model is applied to the spunlace nonwovens production industry.

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341-352
Eom, S. B.
Keywords:Business Intelligence Decision Support Systems Multicriteria Decision Making Data Mining Knowledge Management Bibliometrics Cocitation Analysis Multidimensional Scaling

Over the past five decades, the area of decision support systems has made a significant progress toward becoming a solid academic discipline. A number of prior studies have been conducted to assess the extent of progress within these stages in the DSS area. Among them, a study of Eom [1] has provided biblio-metric evidence that the decision support system has made meaningful progress over the past four and a half decades (1969-2004). The primary data for this study were gathered from a total of 498 citing articles in the BI area over the past eight years (2005-2012). This study uses author cocitation analysis (ACA). ACA is a technique of bibliometrics that applies quantitative methods to various media of communication such as books, journals, conference proceedings, and so on. Indeed, the results of this study showed the substantial changes in the intellectual structure of BI research. First, many research subspecialties appeared in the previous investigations up to 2004 have disappeared. They are individual differences/user interfaces, model management, and evaluation research during the period of 1969-2004. Second, through this research, we also noticed that the group support systems and foundation research are weakening in terms of the number of researchers and therefore the substantiality of these research topics are diminishing. On the other hand, the focus of business intelligence research is shifting to knowledge management and data mining.

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353-362
Pee, L. G.
Keywords:Decision Making Open Innovation New Product Development

Firms are increasingly organizing virtual new product development (NPD) initiatives to solicit ideas and suggestions from external parties such as customers. While virtual NPD provides firms with unprecedented access to external knowledge, the diversity of input and participants also poses challenges to decision making. This study develops the concept of decision openness and examines whether making decisions with respect to the opinion of external participants influences product sales growth over time. Decision openness in product development activities is distinguished from that in commercialization activities to examine their differential impacts.

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363-368
Corvello, V., Genovese, A. and Verteramo, S.
Keywords:Scientific Social Networks Knowledge Utilization Epistemic Communities Knowledge Sharing Scientific Research Research Collaboration

This study presents an empirical research, which examines how scientific social networking sites can support researchers’ work. In particular, the study investigates knowledge sharing behaviors of users of the scientific platform ResearchGate. A questionnaire was distributed to members of the social network. One hundred and fifteen responses were obtained. The results of this study provide a profile of scientific social networks users. Users consider these platforms mainly as a means to communicate their results and their knowledge. The level of utilization of knowledge obtained from these social networks is still low.

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369-380
Pantano, E. and Migliarese, P.
Keywords:Collaborative Innovation with Consumers Retailing Innovation Management Technology Management Consumers' Motivation Decision Support Systems

Innovating is a prerequisite for competing also for retail sector and has attracted huge interest concerning the role of technology management for successfully adopting technology-based innovations. In this competitive scenario, the design of new and attractive retail environments able to better influence consumer decision-making process plays a critical role, with emphasis on stores characterized by large size (i.e. department stores, huge anchor stores, etc.). Despite the wide deal of research in involving consumers in the design process, identifying the best practices for achieving consumers’ contribution to the co- design process has proven difficult. This study extents previous knowledge on consumers’ involvement in collaborative innovation by focusing on retail environments, starting from the case study of a new collaborative platform devoted the design of a new store in Italy and the experimental design based on the response of 150 potential consumers. Empirical findings suggest a set of users’ motives to participate to the development of the new store, by providing insights for defining novel tools for achieving more consumers’ contribution with benefits for innovation and decision-making process.

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381-391
Nagle, T. and Sammon, D.
Keywords:Big Data Information Supply Chain

Big Data is not the first and most definitely not the last new term that the IT industry is going to coin in order to drive interest and investment in new technology. Moreover, with these new terms, an opportunity is afforded for the research community to objectively understand the impact (or lack thereof) on organizations and decision makers. This paper provides a high-level framework to guide researchers in the area of Big Data through a conceptualization of the Information Supply Chain. The Information Supply Chain can be used as a scoping device for researchers in positioning their work but also as a tool to enable stronger objectivity and prevent an automatic resistance or acceptance of the new term/trend.

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395-400
Phillips-Wren, G. and Hoskisson, A.
Keywords:Big Data Analytics Decision Support Twitter Social Media Sentiment Analysis

The term ‘big data’ is used to describe data that are beyond the capabilities of an organization to store, analyze and use for accurate and timely decision making. They have alternately been described in terms of characteristics of volume, velocity, variety, veracity. We propose another characteristic of volatility for big data that should be considered in their use for decision making. We utilize a case study approach with a mid-sized company in the hospitality industry to elucidate challenges that an organization faces in developing a big data strategy and highlight research needed in this domain. Challenges identified were technical (inconsistent and unstandardized data, implementation and use of new analytics platforms, obtaining a global view of data, visualization of data, integrating mobile data), organizational (finding people with the right skills, users’ desire for customization), and strategic management (finding return on investment in big data, alignment of business and analytics strategies, leadership of analytics initiatives and thought). Decision questions to be addressed in using big data for a marketing decision are illustrated. We demonstrate the use of the decision framework and illustrate challenges identified in the case study with sentiment analysis of Twitter data.

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401-413
O'Flaherty, B. and Heavin, C.
Keywords:Predictive Analytics Decision Support Decision Support Systems Design Science Design Evaluation Knowledge Management Work Practice Evolution

Software as a service, cloud computing and predictive analytics are examples of new phenomena that can have a profound impact on the pervasiveness and accessibility of organizational decision making. The power of propensity scoring based on historic data delivered as a service via cloud computing heralds the availability of capabilities that previously required teams of quantitative specialist to deliver. This paper outlines the development of a predictive analytics cloud service for customer retention and attempts to position the outcomes of this implementation in the context of decision support, knowledge management and work practice evolution.

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414-425
Ölmez, M. and Lindemann, U.
Keywords:Decision-Maker Modeling Decision-Making Decision Support Systems Human-Centred Design Product Development Decisions

Product development decisions represent challenging processes with various stakeholders from different disciplines and with different perspectives involved. Decisions can be highly complex due to the high amount of influencing factors that have to be considered simultaneously. Among other methods and tools, decision support systems (DSS) were developed to support decision-makers in handling complex decisions. One main disadvantage of DSS is the little adaptation to and integration of decision-maker needs and characteristics. Thus, current trends focus on the development of human- and decision-maker-centered DSS. This paper aims in providing a multilevel stepwise procedure for the modeling of decision-makers in order to enable a more effective decision support. The decision-maker modeling procedure is based on findings from literature research and results from research projects performed in cooperation with industry partners. The procedure serves as a guideline for generating diverse decision-maker models for different applications and for integrating human cognitive thinking procedures within the design and functionality of decision support methodologies and systems. The procedure represents an important design element of the human-centered decision support methodology currently being developed at the Institute of Product Development of the Technische Universität München (Germany).

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429-440
Gambelli, D., Solfanelli, F. and Zanoli, R.
Keywords:Bayesian Networks Decision Support for Inspection Visits Risk Assessment Organic Certification

The aim of this paper is to provide a DSS to improve the effectiveness of the inspection procedures in organic certification. The analysis is based on data from the archives of the largest Italian organic control body. Bayesian Networks are used to develop a DSS combining available data and expert information, with the aim to support inspectors in the design of inspection schemes that could lead to a high likelihood of non-compliance detection. Results show that there is scope to increase the effectiveness of inspections, and in particular by organizing the sampling at key times during the year.

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441-446
Mohamad Noor, N. M., Ghazali, A. F., Saman, M. Y. M. and Mohd Noor, M. N.
Keywords:Decision Support Systems Risk Framework

Decision-making processes involve conscious and unconscious consideration that can be estimated qualitatively or quantitatively. It can be divided into several phases, including before or after making decisions. Risk concept can be integrated into decision-making processes in order to provide more evaluation besides merely depends on criteria and alternatives. Risk impact, risk averse, risk acceptance, and risk residual are some of the parts from risk assessment that can be included in computerized decision-making using decision support system (DSS). This DSS can then be implemented in either many organizations’ strategic plan, any private companies, public universities or law enforcements.

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447-458
Bessedik, I. and Taghezout, N.
Keywords:Production Agents Web-Based Decision Support System Web 2.0 Coordination Protocol Flow Shop Manufacturing

Web 2.0 is quickly growing because contents are mostly generated by users and it represents now a wide and borderless source of information that can be used for innovation purposes. In this paper, we envisage a combination of Software agents and Web 2.0 technologies within a platform of a Web-Based Decision Support System, the coordination among the Production Agents (PA) in our approach is made possible by a dynamic agent coordination protocol in which sorting solutions are modeled and filtered by using Analytical Hierarchy Process methodology (AHP). This paper develops a simple framework to help understand the collaboration that is afforded by Web 2.0 applications. The proposed framework is used to examine how production agents can create, share and exchange experiences on diagnosis and resources failures with each other to have new ideas or useful information for the decision-making process. ALFATRON electronics industry is selected as an application domain in this study. Agents are communicating by using the JADE plate form.

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459-470
Bednar, P. M., Welch, C. and Imrie, P.
Keywords:Personal Decision Support Situated Problems Virtual Personal Assistant Contextual Dependencies Little Data

This paper discusses the potential for personalized, user-owned decision-support systems. It can be readily seen that there are benefits from analysis of ‘Big Data’ that could not be attained through more traditional means, e.g. insurance and credit card fraud can be detected more readily when it is possible to analyze integrated data across multiple servers owned and controlled by separate organizations. However, high-level data analysis, though useful, cannot be trusted to provide all the answers to organizational ‘questions’. Individuals need to be able to inform themselves in complex decision situations and for this purpose there can be no substitute for ‘little data’ from wherever this is to be drawn. We explore a potential type of support that could overcome the barriers to professional creativity arising through lack of trust in decision-support systems owned and controlled from senior management. The Virtual Personal Assistant described uses natural language processing to interact with a professional user in the context of messy, situated problems, and in private. It has capability to learn from user-interactions and therefore to co-evolve contextually. A ‘little data’ system such as this can therefore help to improve relevance of user understandings in a relatively risk free environment.

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471-482
Stanek, S., Drosio, S. and Namyslo, J.
Keywords:Decision Support Computer-Mediated Communication Collaborative Decision Making Crisis Management

The paper aims to outline the possibility of using an integrated, computer assisted communication platform to improve crisis management processes. The authors draw on a previous paper contributed to the 2012 IFIP conference Fusing Decision Support System into the Fabric of the Context to indicate further evolution paths for crisis management support and to showcase a solution developed over the past two years, along with some of its applications.

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483-494
Inghirami, I. E.
Keywords:Decision Support Systems Business Intelligence Accounting Information Systems In-Memory Technology Mobile Technology Management OLTP OLAP Strategic Management Accounting Real-Time Applications

Two technologies are currently reshaping Accounting Information Systems: In-Memory Technology and Mobile Technology. It is not only a matter of generic increase of performances, as it usually occurs in the IT field, but a dramatic improvement that is affecting hardware and software architecture and even the organization of the actual systems. We are facing a new generation of BI tools that will greatly improve the capabilities of Strategic Management Accounting systems. In fact, the improved tools available will finally deliver capabilities that enable end users to directly support their decision, as long- promised.

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495-506
Daly, M. and Adam, F.
Keywords:Decision Support Systems Decision Making Decision Makers Case Study Business Intelligence

The provision of decision support tools for highly uncertain and unstructured decision situations has occupied researchers in the Decision Support Systems (DSS) area since the term was coined by Gorry and Scott Morton in 1971. We propose an empirical evaluation of Silver’s [20] concept of decisional guidance in a case study of Big Bank, a large financial services firm. Our analysis provides evidence of the impact of decision support on the decision making of managers, in ways that are qualitatively different at the different stages of development of management thinking. The conclusions deliver fresh insights into the difficulties which even large and well equipped firms face in developing applications that support managers in their day-to-day decision making processes, let alone in their tactical and strategic reasoning. Thus, despite all the renewed hype in the DSS area, the achievement of seemingly simple decision support is still problematic.

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507-518
Rokou, E., Chatzoglou, K., Kirytopoulos, K. and Tatsiopoulos, I. P.
Keywords:Risk Management Emergency Management Road Tunnels Decision Support Systems Real-Time Data

Most of the times in emergency situations, individuals need to act decisively within tight time schedules having no or limited information. In this paper we propose the exploration of a real time data Decision Support System (DSS) for emergency management. The proposed conceptual construct is based on the idea that a bridge should be built between the road operator that has the knowledge on how to react in emergency situations and as many drivers located in the tunnel, who hold pieces of information about the situation, sometimes relevant, other times not, and need guidance on how to react. Furthermore, providing individualised guidelines to different groups of people based on their location, health conditions and even ability to help others can be of paramount importance. Therefore, the proposed DSS, named SOSTunnel, is composed of two parts: a) a GPS or smart phone embedded application that acts as the user interface for drivers and the data collector for the operator and b) a DSS located in the operator’s control centre that gathers, classifies and filters data while suggesting possible evacuation plans per drivers group. Apart from the proposed DSS, limitations of such systems in road tunnels are highlighted and guidelines for experimentation before their use in practice are offered.

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519-530
Bekmamedova, N., Shanks, G. and Carlsson, S. A.
Keywords:Social Media Analytics Resource-Based View Dynamic Capabilities

Social media analytics (SMA) involves the analysis of vast amounts of social media data to provide insights to organisational decision-makers. Many organisations are investing in SMA but few describe themselves as effective adopters. In this paper, a framework for achieving benefits with social media analytics is presented, based on SMA motivations, the resource-based view (RBV) and dynamic capabilities theory. Concepts in the framework are clearly defined and two propositions are developed, based on relationships in the framework. Finally, we discuss implications of the framework for researchers and practitioners and suggest directions for future research.

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533-544
Pousti, H. and Burstein, F.
Keywords:Social Media Decision Making Chronic Care Management Affordance

In the recent years, there has been a strong trend of using social media by the patients, carers, and practitioners to support chronic care management decisions. Studies also show that social media have promising potentials in this area; however, the findings from our exploratory study suggested that there are yet many uncertainties and barriers perceived around the usefulness of using social media for healthcare decision making. The purpose of this study is to explore and unravel the barriers of using social media in the management of chronic disease. We argue that sociomaterial perspective provides a new way of understanding the relation between technology and human decision-making in a complex social phenomenon such as the management of chronic disease.

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545-556
Doyle, C., Neville, K. and Sammon, D.
Keywords:Social Media Literature Review/Analysis Social Media Characteristics

Due to the popularity of social media amongst individuals and organsiations, it has become an emerging phenomena for academic research, evidenced by the volume of papers published in ICIS, AMCIS, and ECIS. This paper gives a snapshot of this research, highlighting the trends across the following categorisations: paper type (empirical vs. non empirical), research design, theories used and theory type, and theoretical strength. This provides an understanding of the emerging field of social media, with the results indicating that it remains consistent with the IS discipline. Empirical research is much more published than non-empirical, as well as case studies and surveys being the dominant research designs. It is also evident that there is tentative agreement on what the underpinning characteristics of social media are, so these are extracted and explained from the literature.

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557-568
Sugrue, A., Feller, J. and Carton, F.
Keywords:Design Principles Feedback Profile-Centric Social Computing Digital Objects Performativity Sociomateriality Exhibitionist

Decisions to use technology are often based on an instrumental desire to achieve some immediate result. An enduring principle of effective design is the presentation of clear and comprehensive feedback to the user to facilitate their assessment of whether or not the interaction with a particular object resulted in a desired and expected outcome. However, emerging systems in the realm of social computing appear to often violate this principle as a user is typically provided with limited observable feedback on the full consequences of their ephemeral interactions with the social computing system. The design of such technologies often result in feedback presented to the user which, although sufficiently comprehensive to ensure the users’ instrumental need is satisfactorily met, conceals the full spectrum of future consequences. Such limited but ‘sufficient’ feedback may lead to the user continuing to engage with the social computing technology without fully appreciating the entire consequences of same. This limited feedback becomes problematic when considering profile-centric social computing platform use, which is intimately associated with an individuals’ identity. Towards addressing this issue, this conceptual paper presents a novel framework, built using a sociomaterial performativity perspective along with an exhibitionist perspective, which seeks to enable current and prospective users to interrogate potential consequences of their intended social computing use. The implications of this a priori interrogation of potential consequences of IT use suggest the importance of questioning the conventional wisdom of “learn by doing” when considering contemporary technologies: indeed “learn before doing” may be more appropriate in certain scenarios.

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569-579