| 1. |
- Bednar, Peter, et al.
(författare)
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Supporting Business Decision-making: One Professional at a Time
- 2014
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Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - 9781614993988 - 9781614993995 ; 261, s. 471-482
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Bokkapitel (refereegranskat)abstract
- 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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| 2. |
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| 3. |
- Berndtsson, Mikael, et al.
(författare)
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A Fleet Management System Based on Complex Event Processing
- 2014
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Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - : IOS Press. - 9781614993988 - 9781614993995 ; , s. 241-252
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Konferensbidrag (refereegranskat)abstract
- 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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| 4. |
- Gudfinnsson, Kristens, et al.
(författare)
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Taking Advantage of Business Intelligence in a Complex-Systems Environment
- 2014
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Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - : IOS Press. - 9781614993988 - 9781614993995 ; , s. 265-276
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Konferensbidrag (refereegranskat)abstract
- 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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| 5. |
- Agahi, Faramarz, 1954
(författare)
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Linking and Organizing Decision Information Object-oriented Promote Using Different DSS Technologies
- 2014
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Ingår i: DSS 2.0 – Supporting Decision Making With New Technologies. - 0922-6389 .- 1879-8314. - 9781614993988 ; 261, s. 120-131
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Konferensbidrag (refereegranskat)abstract
- 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 platfonn facilitates using different DSS technologies.
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| 6. |
- Tona, Olgerta, et al.
(författare)
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The Impact of the Organizing Vision on Mobile BI Adoption
- 2014
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Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - 0922-6389. - 9781614993988 ; 261, s. 303-313
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Konferensbidrag (refereegranskat)abstract
- 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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