Artificial Neural Network based Diagnostic Model For Causes of Success and Failures

TL;DR

This paper develops an artificial neural network model to diagnose success and failure factors in the Indian mobile communication industry, offering a human-like decision-making tool that outperforms traditional methods.

Contribution

It introduces a novel ANN-based diagnostic model tailored for human resource factors in the Indian telecom sector, improving accuracy over existing approaches.

Findings

Achieved 99.99% accuracy with the ANN model.

Demonstrated the model's applicability for predicting HR-related failures.

Provided a tool for companies to identify success and failure factors.

Abstract

In this paper an attempt has been made to identify most important human resource factors and propose a diagnostic model based on the back-propagation and connectionist model approaches of artificial neural network (ANN). The focus of the study is on the mobile -communication industry of India. The ANN based approach is particularly important because conventional approaches (such as algorithmic) to the problem solving have their inherent disadvantages. The algorithmic approach is well-suited to the problems that are well-understood and known solution(s). On the other hand the ANNs have learning by example and processing capabilities similar to that of a human brain. ANN has been followed due to its inherent advantage over conversion algorithmic like approaches and having capabilities, training and human like intuitive decision making capabilities. Therefore, this ANN based approach is likely to help researchers and organizations to reach a better solution to the problem of managing the human resource. The study is particularly important as many studies have been carried in developed countries but there is a shortage of such studies in developing nations like India. Here, a model has been derived using connectionist-ANN approach and improved and verified via back-propagation algorithm. This suggested ANN based model can be used for testing the success and failure human factors in any of the communication Industry. Results have been obtained on the basis of connectionist model, which has been further refined by BPNN to an accuracy of 99.99%. Any company to predict failure due to HR factors can directly deploy this model.