ABSTRACT
Information 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
ABSTRACT
A computerized image is a bidimensional image with a limited set of digital values, called pixels (or picture elements). Because of certain elements such as the system's physical attributes, picture capturing instruments etc, noise gets developed in the images. There are various sorts of noise, out of which speckle noise – a type of multiplicative noise, is very hard to extract and remove. Many devices to draw out speckled noise from pictures have been made. To de-speckle the picture, several factors are considered that show the aggregate of speckled noise removed from the picture. This paper discusses speckle noise, methods used to de-speckle a digital image and the defects in de-speckling models which lead to problem formulation.