Someswar Kesh

Evaluating the quality of entity relationship models

Abstract Entity Relationship (E-R) models are at the core of logical database design. This paper describes the development of a model, associated metrics and methodology for assessing the quality of an E-R model. The model was developed by investigating into the causal relationships between ontological and behavioural factors influencing data quality. The methodology describes aggregation of the scores on various metrics to calculate an overall quality score for an E-R model, and use of the model to identify problem areas if the individual quality scores on different factors do not meet organizational standards. Further possible improvement of the model and future research issues are also discussed.

A knowledge architecture for IT security

The major benefits of knowledge management, particularly as it pertains to security measures, makes it critical that organizations have a mechanism for defining and identifying knowledge needs.

A framework for analyzing e-commerce security

This paper presents a framework for analyzing e‐commerce security. The framework is developed by analyzing the relationships between e‐commerce security needs, threats, technologies and tools. Organizations can use the framework to evaluate and select security for e‐commerce.

Quality of service – technology and implementation

This paper discusses various facets of quality of service (QOS), a technology that allows network managers to prioritize data to optimize bandwidth use and maintain data quality. Given the wide variety and high volume of data as well as bandwidth limitations on networks today, QOS has gained great importance in recent years. Successful implementation of QOS requires selecting from the wide array of models and algorithms available and careful consideration of other technical and organizational issues. Different QOS models and algorithms have been discussed to provide the network manager with an insight into these technologies that can aid in the selection of QOS models and algorithms. Various technical and organizational implementation issues, including how QOS is implemented in routers, have been discussed to assist the network manager to be aware of these issues and properly implement QOS.

Development of a qualitative reasoning model for financial forecasting

Purpose – To develop a model for financial forecasting using the principles of qualitative reasoning.Design/methodology/approach – The model was developed using theories in the accounting, finance, and marketing literature. Quantitative equations were transformed into their equivalent qualitative forms. Qualitative equations, where applicable, were developed and integrated with the quantitative equations.Findings – The research demonstrated that qualitative reasoning models can be used for financial forecasting, decision making and control.Research limitations/implications – The model used is experimental and relatively simple. More complex models should be developed for real life applications.Practical implications – Development of this model demonstrates that more complex models for specific applications in various business domains can be developed and used. Since business decision making requires both qualitative and quantitative inputs, models such as these may be of great practical value.Originality/...