Knowledge management and administration depend on semiotic information systems

Will, H. J.

doi:10.1504/ijmdm.2006.008170

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…In addition the requirements of decision tasks are not always stable in this dynamic and fast changing world. Believable online information – knowledge provided for various decision makers to solve different business problems – must be syntactic for structural consistency, semantic for proper meaning, and pragmatic for appropriate purposes (Will, 2006). It remains very difficult in the current internet‐based DWS environment to support various decision makers in efficient ways with appropriate and understandable information.…”

Section: Discussionmentioning

confidence: 99%

“…However decision makers must still look for the best solution to their problems and fully understand the “pushed‐up” answers in the ad hoc situation in response to the “pull‐up” questions. Likewise decision supporters must fully understand the decision situation when designing routine solutions (Will, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Business intelligence has been defined as solutions applying information technologies to retrieve heterogeneous and distributed resources in order to interpret, categorise, and integrate them, and then to formulate any potentially usable knowledge by employing analysis mechanisms (Vine, 2000). However knowledge is a result of a rational process of critically understanding data and information in their contexts (Will, 2006). In today's world data are so numerous that technology is needed to cope with this knowledge resource.…”

Section: Introductionmentioning

confidence: 99%

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Architectural support for business intelligence: a push‐pull mechanism

Hua

Huang²,

Yen³

2012

Online Information Review

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PurposeAs business globalisation and internet usage continue to grow, the internet‐based version of data warehouse systems (DWS) is expected to improve traditional DWS. However applying the web‐based interfaces to client‐server‐based DWS structures may cause problems such as inflexibility, inefficiency, loss of scalability, and threats to security. These arise due to the complexity of manipulation and management of heterogeneous data with various categories of decisional tasks. This paper seeks to develop a flexible mechanism by applying Extensible Markup Language as a foundation for an internet‐based DWS and to overcome the weaknesses of solely client‐server‐based DWS architecture.Design/methodology/approachFor better control and security the proposed architecture utilises an embedded pull‐push mechanism to propagate the distributed decision information. This research also justifies the feasibility of the proposed mechanism by implementing a prototype, evaluating its performance, and conducting a real business case study.FindingsThe results indicate that the mechanism can not only improve DWS scalability and efficiency, but also enhance security.Originality/valueThe proposed architecture provides a support mechanism for business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities and gain competitive advantage.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Architectural support for business intelligence: a push‐pull mechanism

Hua

Huang²,

Yen³

2012

Online Information Review

View full text Add to dashboard Cite

show abstract

“…Both are the enduring characteristics of individual that summarize transsituational consistencies in characteristic styles of responding to the environment [9]. They can be considered as endogenous basic tendencies tied to underlying biophysiological response systems or explained by the dispositional nature of human behavior [8,9,10]. It is therefore justified to assume that in a socialized setting, the behavioral characteristics of its members can be recognized as endogenous ones.…”

Section: Socialized Locality For Resource Sharing Behaviormentioning

confidence: 99%

Resource Sharing Behavior in a Socialized Peer-to-Peer Internet Environment

Hsueh

Hua

Huang

et al. 2009

2009 Eighth International Conference on Mobile Business

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Retrieving resources which are interesting, useful, relevant, and valuable to users is always a challenge for researchers and vendors of Information Retrieval in a Peer-toPeer (P2PIR) environment. Current research of documentbased P2PIR focused mainly on the feasibility of extending IR operations and the concept of social network analysis (SNA) has been adopted as a methodology to model interrelationships among actors in ad hoc environments. The authors demonstrate the possibility to discover characteristics of users in a P2P environment by means of the Zipf long-tail distribution. It can efficiently categorize the shared information with small portions of its contents. The results indicate that for any document corpus shared by users in a P2P environment the long-tail distribution applies also. Since behavioral profiles of users can be systematically and efficiently discovered by analysis based on the long-tail distribution, the research result of this socialized approach to resource discovery in a P2P environment can provide a feasible and efficient solution.

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Rethinking revenue recognition the case of construction contracts under International Financial Reporting Standards

Dobler¹

2008

IJRM

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Accounting scandals and deficiencies in standards have persuaded international accounting standard-setters to rethink revenue recognition. The proposals of the joint IASB/FASB-project Revenue Recognition feature an asset-liability approach relying on measurement at fair values or at allocated customer consideration amounts. This paper chooses construction contracts to illustrate and to evaluate the far-reaching changes implied by the proposals in a multi-period context. Main results suggest that the proposals are ambivalent in terms of relevance but critical in terms of reliability compared to the recent IAS 11. A pure fair value approach which yields irritating patterns of revenue recognition, is inappropriate for stewardship purposes, and unlikely to be adopted because of regulatory incompatibilities. Measuring performance obligations at allocated consideration amounts partly mitigates these concerns.

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Knowledge management and administration depend on semiotic information systems

Cited by 3 publications

References 16 publications

Architectural support for business intelligence: a push‐pull mechanism

Architectural support for business intelligence: a push‐pull mechanism

Resource Sharing Behavior in a Socialized Peer-to-Peer Internet Environment

Rethinking revenue recognition the case of construction contracts under International Financial Reporting Standards

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