To develop a model for financial forecasting using the principles of qualitative reasoning.
Abstract
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/value
The paper will be valuable to those who want to develop such models in business domains.
Details
Keywords
Someswar Kesh, Sridhar Nerur and Sam Ramanujan
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…
Abstract
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.
Details
Keywords
Someswar Kesh, Sam Ramanujan and Sridhar Nerur
This paper presents a framework for analyzing e‐commerce security. The framework is developed by analyzing the relationships between e‐commerce security needs, threats…
Abstract
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.