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Hierarchical Database Model for Querying Economic Network Independence Distribution

Hierarchical Database Model for Querying Economic Network Independence Distribution

Akinwale Adio Taofiki
Copyright: © 2011 |Volume: 3 |Issue: 3 |Pages: 10
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781613506394|DOI: 10.4018/jdsst.2011070104
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MLA

Taofiki, Akinwale Adio. "Hierarchical Database Model for Querying Economic Network Independence Distribution." IJDSST vol.3, no.3 2011: pp.58-67. http://doi.org/10.4018/jdsst.2011070104

APA

Taofiki, A. A. (2011). Hierarchical Database Model for Querying Economic Network Independence Distribution. International Journal of Decision Support System Technology (IJDSST), 3(3), 58-67. http://doi.org/10.4018/jdsst.2011070104

Chicago

Taofiki, Akinwale Adio. "Hierarchical Database Model for Querying Economic Network Independence Distribution," International Journal of Decision Support System Technology (IJDSST) 3, no.3: 58-67. http://doi.org/10.4018/jdsst.2011070104

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Abstract

The development of the internet has been triggering numerous mutations in the visualization of actors in economic network independence distribution (ENID) of goods. ENID overcomes the physical barriers of shop-floor space so unprecedented variety of products could be offered to the customers. Avoidance of expensive trade space allows suppliers to reduce price compared to those in the physical world. User friendly and easy contact with the supplier of the goods make shopping very convenient. Despite these advantages of ENID, there is a need to develop better theories about how this system should behave in order to protect participants’ interests. This work employed hierarchical database model using B-tree and pre-order algorithm to insert and traverse participant records for easy processing. N-level models were adopted to calculate each level and sub-level cluster commission. The implementation was carried out using C# and sql. The application of the model permits the participants to query any information about ENID for on line real time decision makings.

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