Neural Data Mining System for Trust-Based Evaluation in Smart Organizations

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Author(s): T. T. Wong (The Hong Kong Polytechnic University, Hong Kong)
Copyright: 2008
Pages: 18
Source title: Information Communication Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Craig Van Slyke (University of Central Florida, USA)
DOI: 10.4018/978-1-59904-949-6.ch206
ISBN13: 9781599049496
ISBN10: 159904949X
EISBN13: 9781599049502

Keywords: Information Resources Management / Information Science Reference / Library and Information Science

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Abstract

Nowadays, many enterprises manufacture and distribute their products or services globally, and quite a number of smart organizations are formed on the Internet and are expected to evolve to a strategically important e-business model. Although information and communication technologies (ICT) and knowledge management plays an important role in linking the core and partner companies, it remains subservient to the humans that form the smart organizations. This chapter identifies two instances in which trust-based evaluations of partners in the smart organizations are applicable. A review of the literature indicates that neither researchers nor practitioners agree on a single model of interfirm trust that applies to all partner evaluation contexts. A decision-support system based on neural network and data mining technologies is proposed. A case example is given to illustrate a trust-based evaluation in real situation.

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