The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction

Clark, Thomas D.; Jones, Mary C.; Armstrong, Curtis

doi:10.2307/25148808

Cited by 196 publications

(117 citation statements)

References 207 publications

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“…Throughout this paper, it was shown that there are some factors deteriorate BI system performance and lead to a huge loss in the invested money. These factors, techno-business, are mostly based on the lack of Planning and scope definition [23] Adoptiong of incremental delivery approch [23] Building a pilot system [31] Project schedule [25] Teamwork Team skills [31] External consultants Business domain committed experise [9] Infrastructure Source systems [16] [23] Technical framework [23] Development of technology and tools [16] System functionality [27] BI tools [29] BI cost [27][25] BI system usability [27] Problem space match [28] Data Data quality and reliable resources [16] [20] Modeling of dimensional data and meta-data Information area readiness [9] organizations' readiness toward BI systems. Thus, the paper reviewed and investigated some possible scenarios that may affect the readiness for BI systems.…”

Section: Discussionmentioning

confidence: 99%

Assessing Organizations Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model

Anjariny

Zeki

Hussin

2012

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)

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Abstract-Nowadays, the concept of Business Intelligence (BI) is being implemented within many organizations around the globe. Organizations invest billions of US dollars aiming to improve their timeliness and quality of the input to the decision process, where BI is the targeted keyword. However, organizations are often faced with many challenges in achieving the expected outcomes of BI systems within their firms. Here, one of the most cumbersome obstacles is the organizations' readiness toward BI systems. Therefore, it is highly justified to assess organization's readiness toward BI systems to avoid any loss and to enhance the overall revenue. This paper presents a brief history on BI systems and the challenges of their implementation within organizations. A review and analysis of models for assessing organizations' readiness toward BI systems is established to understand their weakness and strength points. Finally, this paper proposes a hypothesized framework for solving readiness assessment issues within organizations which will be evaluated in the coming studies.

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Section: Discussionmentioning

confidence: 99%

Assessing Organizations Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model

Anjariny

Zeki

Hussin

2012

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)

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“…Second, we found need for adapting the model. Clark et al (2007) mentioned that user involvement improves user satisfaction, but it does not necessarily lead to a productive usage. They argue that user commitment is a better predictor for successful IS implementation, since committed users pursue a successful usage of the IS.…”

Section: Resultsmentioning

confidence: 99%

“…Looking at the implementation of ICs, the User Involvement Strategy should rather focus on the development of user commitment. This can be realized by Sponsors and Champions from usersside and executive-side, who promote the innovation (Clark et al, 2007). The DIP management already integrates department managers in the community management and promotes this fact.…”

Section: Resultsmentioning

confidence: 99%

Lean on Diffusion Theory to Make Ideas-Communities Fly The Case of DATEV

Hartmann

2014

SSRN Journal

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“…They can use quite different technologies and may support different managerial constituencies" (Arnott and Pervan, 2005 p. 68). Clark, Jones and Armstrong (2007) recognised the need to develop dynamic theoretical models for support systems development such as DSS and related technologies such as EIS (executive support systems), KMS (knowledge management systems) and business intelligence (BI). Their conceptual model (Clark et al, 2007) aimed not only to provide core and fundamental elements such as business process, organisational members, technology and organisational outcomes but also to capture the decision making environment and the use of these systems.…”

Section: Designation Of '(Is) Design Research' Vs '(Is) Designmentioning

confidence: 99%

Ensemble Artifact Design For Context Sensitive Decision Support

Miah

Gammack

2014

AJIS

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Although an improvement of design knowledge is an essential goal of design research, current design research predominantly focuses on knowledge concerning the IT artifact (tool) design process, rather than a more holistic understanding encompassing the dynamic usage contexts of a technological artifact. Conceptualising a design in context as an "ensemble artifact" (Sein et al., 2011) provides the basis for a more rigorous treatment. This paper describes an IS artifact design framework that has been generated from the development of several practitioner-oriented decision support systems (DSS) in which contextual aspects relevant to practitioners' decision making are considered as integral design themes. We describe five key dimensions of an ensemble artifact design and show their value in designing practitioner-oriented DSS. The features are user centredness, knowledge sharing, situation-specific customisation, reduced model orientation, and practice based secondary design abilities. It is argued that this understanding can contribute to design research knowledge more effectively both to develop dynamic DSS, and by its extensibility to other artifact designs.

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The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction

Cited by 196 publications

References 207 publications

Assessing Organizations Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model

Assessing Organizations Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model

Lean on Diffusion Theory to Make Ideas-Communities Fly The Case of DATEV

Ensemble Artifact Design For Context Sensitive Decision Support

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