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Business Intelligence and Decision Support Systems Research
Seminars, workshops, interviews and other material produced by Monash University's DSS Laboratory.
Duration: 58:28 m - Filetype: mp3 - Bitrate: 128 KBPS - Frequency: 44100 HZ
Episode 7 - Peter O'Donnell 21st March 2012 Visual Psychodynamics and BI 'Hot' Issues
This audio-only episode features Monash DSS Laboratory researcher Peter O'Donnell discussing two research projects he has been working on. The first investigates issues of data visualisation - in particular the ability of people to compare data values using different kinds of graphical charts.
The second project Peter discusses is a list of 'hot' topics in business intelligence, work that he did in conjunction with the The Eventful Group. The topics were identified by genuine BI practitioners, as opposed to BI consultants or vendors who may have a commercial interest in promoting certain features and technologies.
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Duration: 59:46 m - Filetype: quicktime
Episode 6 - Rob Meredith 14th March 2012 Dynamic Capability Theory 
- This presentation is a discussion of plans for a study based on dynamic capability theory. Dr Rob Meredith presents an overview of the theory and highlights a finding that different styles of strategic decision-making are appropriate for firms operating in moderately versus highly dynamic markets. This leads to the hypothesis that operational business intelligence tools may not be appropriate for firms in highly dynamic markets.
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Duration: 106:52 m - Filetype: quicktime
Episode 5 - Sindy Madrid 23rd September 2011 Structuration Theory
Structuration theory is a theory from the social sciences that attempts to describe the structures in groups and their relationships with individuals. Sindy Madrid is a PhD student with the Monash DSS Lab working on the topic of information governance and explores how the theory might provide a useful lens for understanding governance issues.
You can download the slides from http://dsslab.infotech.monash.edu.au/downloads/structuration%20theory.pdf
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Duration: 64:27 m - Filetype: quicktime
Episode 4 - Michael Addorisio September 14th 2011 Absorptive Capacity
Download powerpoint slides (pdf): http://dsslab.infotech.monash.edu.au/downloads/absorptive capacity michael addorisio.pdf
Michael is a Monash Decision Support Systems Laboratory student intern working on Absorptive Capacity theory and its use in information systems research. This informal presentation to our weekly Lab lunch meeting gives an overview of the theory.
Absorptive Capacity theory (ACAP) describes the capacity of a firm to acquire and use new information and knowledge to change its capabilities. The Lab is currently working on a project looking at the role that business intelligence plays (if any) in transforming organisations, and we think that ACAP may be a useful way of describing data we collect.
Listen in to the audio, and download the slides from Michael's presentation above.
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Duration: 50:47 m - Filetype: quicktime
Episode 3 - Caddie Gao 23rd November 2010 Exception Management in Logistics
- With the increased complexity and uncertainty in business operations, adaptive and collaborative business processes and exception management (EM) are gaining attention. In the logistics industry, the growing importance of logistics worldwide as well as the increasing complexity of logistics networks and the service requirement of customers has become a challenge. The current logistics EM practice however offers inadequate decision support for flexibility and adaptability in EM. It is limited when monitoring activities in real-time to detect and resolve exceptions in a timely manner. To mitigate these problems, a design science research approach, specifically an intelligent-agent decision support approach in logistics EM has been proposed and investigated in this research.
Informed by the sense-making framework, logistics exceptions were identified and classified via an exploratory case study. Grounded in real-time business intelligence and decision-making theories, a decision-making conceptual framework (an artefact) for design and development of real-time logistics EM system was developed. Based on the logistics EM conceptual framework, a Web-service-multi-agent-based real-time logistics EM system (an artefact) was designed and developed. Two designed artefacts were evaluated via a confirmatory case study and a field experiment. The confirmatory case study was conducted to collect feedback on the two designed artefacts (i.e., conceptual framework and prototype system) to refine them. The field experiment was then conducted to investigate the proposed logistics EM prototype system decision support effectiveness and efficiency. The results of the user-focused evaluation indicated that the proposed logistics EM conceptual framework can guide the analysis, design, and development for a real-time logistics EM DSS to a successful implementation.
The two designed artefacts were the major contributions of this research. They add knowledge to decision theory and practice. This research provides the first attempt (to the best of the researcher’s knowledge) to design a real-time logistics EM decision support mechanism based on decision science theories. To demonstrate the usability of the proposed conceptual framework, a logistics EM decision support prototype was designed, developed, and evaluated. For practice, the logistics exceptions classification, logistics EM conceptual framework, and incorporating agent technologies into logistics EM all will assist logistics companies to develop their logistics exception handling decision-making strategies and solutions.
About the Presenter:
Dr Caddie Gao is a lecturer at the Caulfield School of Information Technology, Monash University and a researcher with the Monash DSS Laboratory. Her research interests include business intelligence, decision science, risk management, financial information systems, business process management, and knowledge management. In particular, she has been doing research in the area of intelligent agent assisted business decision support systems, such as exception management systems, financial planning systems, anti-money laundering systems, knowledge management systems, and the like.
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Duration: 49:22 m - Filetype: quicktime
Episode 2 - David Arnott 26th October 2010 Senior Executives Information Behaviour
- About the Presentation:
David will be presenting a paper that he was to present at the DSS2010 conference in Lisbon in July 2010. Most decision support systems (DSS) and BI research and practice treats managers as a homogenous group, but management research reports differences between senior executives and other levels of management, and individual differences between managers. This is a significantly more complex development environment than that assumed by current DSS and BI research. There are no specialist methods for analyzing the decision support requirements of senior executives. This paper discusses the rationale and design of a research project that uses a design-science strategy that aims to develop and test such a method. The method will be based on a sound understanding of senior executive information behaviors.
The paper's full citation details are:
Arnott, D. (2010). Senior executive information behaviors and decision support: A research agenda. In A. Respicio, F. Adam, G. Phillips-Wren, C Teixeira, & J. Telhada (Eds.). Bridging the socio-technical gap in decision support systems: Challenges for the next decade (pp. 37-48). Amsterdam: IOS Press.
About the Presenter:
David Arnott is Professor of Information Systems, Monash University and a researcher with the Monash DSS Laboratory. His research interests include the development of personal DSS, business intelligence, and IT governance. He is the author of more than 70 scientific papers in the decision support area, including papers in journals such as the European Journal of Information Systems, Information Systems Journal, Decision Support Systems, and the Journal of Information Technology.
A copy of the conference paper can be requested by emailing Rob.Meredith@monash.edu
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Duration: 82:48 m - Filetype: quicktime
Episode 1 - Rob Meredith 19th October 2010 Social Media and BI
Dr Rob Meredith of Monash's DSS Lab presents a paper co-authored with Peter O'Donnell titled "A Functional Analysis of Social Media and its Application to Business Intelligence." Send an email to Rob.Meredith@monash.edu for a copy of the paper.
Abstract:
The marketing departments of the major business intelligence (BI) software vendors have been quick to associate their products with the popular term ‘Web 2.0,’ branding the new releases of their product suites ‘BI 2.0.’ This paper argues that beyond its value as a device to enhance sales and marketing, the functions typically found in Web 2.0 web sites can be usefully applied to BI applications. It explores the application and role of Web 2.0 concepts within BI applications. The paper develops a simple framework to help understand the collaboration that is afforded by Web 2.0 applications. It classifies the functions that are provided in social media platforms to foster user collaboration and contribution. The framework is then used to examine how these forms of collaboration can be used to create more effective and ‘active’ BI applications.
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