DIAGNOSTIC MODEL FOR DETECTING IMPLEMENTATION FAILURES IN INFORMATION SYSTEMS

Author:

Dhindsa Manavjit Singh1,Kaur Bikram Pal2,Aggarwal Himanshu3

Affiliation:

1. Amdocs Development Center India LLP, Pune, Maharashtra

2. Chandigarh Engineering College, Landran, Mohali, Punjab, India.

3. Deptt.of Computer Engineering, University College of Engineering, Punjabi University, Patiala 147002, India.

Abstract

nformation system (IS) is the current trend in the organizations they are gaining competitive edge due to its successful implementation, which is a major factor to improve performance of the organization. The aim of this paper is to report the method for evaluating the failure factors of Information system implementation based on research conducted at two organisation of telecommunication industry using information systems. A quantitative survey-based method was used to collect the data from the two organizations Reliance Communication Limited, Chandigarh and Punjab Communication Ltd. (Puncom) Mohali. The signicance of the ensuing factors for implementation success/failure factors are diagnosed from the opinion of the respondents of these organizations. Reliance Communication Limited is the global adopter of IS and is doing well in the market and the other one having domestic IS, not doing well in the current market. 21 variables were chosen for the study relating to failure and success factors of Information System. Quantitative analysis was performed by using various testing models, Factor Analysis, Neural Network to check importance and to identify CFF & CSF between Puncom & Reliance. This paper suggests that starting from the implementation phase of IS, the organizations must be able to recognize that IS is a Socio-Technical challenge and not only a technical or a managerial work. Therefore, there is the need of modifying the prevailing processes or remodelling them in the second organization (Puncom, not doing well in the market) so that it may compete globally. The results are discussed along with the implications of the research for the future work and provide suggestions for both the academicians and practitioners on how to achieve holistic improvement under IS.

Publisher

World Wide Journals

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3