Indian Institute of Management Tiruchirappalli

About: Indian Institute of Management Tiruchirappalli is a education organization based out in Tiruchchirappalli, India. It is known for research contribution in the topics: Emerging markets & Information technology. The organization has 47 authors who have published 105 publications receiving 1694 citations. The organization is also known as: IIM Trichy.

Analysing ERP Implementations from Organizational Change Perspective: An Exploratory Study

Abstract: This study examines the impact of organisational change management on the outcome of digital transformation initiatives such as ERP implementation. The organisation’s processes change to align with the best practices being brought on by the ERP system. The study examines the initiatives taken to manage such organisational changes during digital transformation and its impact on success of the project. A review of literature in the area of organisation change and digital transformation was conducted to explore the theoretical background. Further in-depth interviews of organisation leaders and industry practitioners involved in digital transformation were collected. Analysis of the data shows that organisations need to plan for continuous evaluation of the need for managing change for a successful digital transformation. A structured approach to the assessment of benefits before and after the change is essential. Implications for change practitioners and ERP implementation managers are discussed.

Decentralized Bagged Stacking Ensemble Mechanism (DBSEM) for Anomaly Detection

Abstract: Intrusion detection has become a major need for the current networked environment due to the high usage levels and the mandatory security that is needed, as sensitive information are being shared in the network. However, there exist several intrinsic issues in the network data that complicates the detection process. Further, real-time detection is also required due to the high velocity of data flow that can be expected in the domain. This paper presents an ensemble-based intrusion detection model to handle data imbalance and noise. Further, the entire approach has been decentralized to enable parallelized detection. The proposed model utilizes a BAgged Stacking Ensemble (BASE) as the detection model. The ensemble architecture initially creates data bags, enabling distributed processing. The bags are processed by multiple heterogeneous base learners. Prediction results from the base learners are passed to a stacked classifier for final predictions. This ensemble model is distributed over the network to enable decentralized processing. Experiments were performed on the NSL-KDD data and the results were compared with recent models. Comparisons with state-of-the-art models indicate the effectiveness of the proposed model.

The Satyam Effect on Related Party Loans in India

Abstract: We examine the impact of the failure of Satyam Computer Services Ltd. (“Satyam”), a major corporate governance related event in India, on related party loans of Indian public companies. Using data ...

Intelligent selection of a server among parallel identical servers

Abstract: Systems with parallel identical servers allow a customer to choose a server based on some criterion. An exemplar is a supermarket billing counters where the decision to choose a counter is not just based on queue length in each counter but customers often resort to use an approximate estimate of the number of items in the customers' baskets in each queue to select a counter. This intelligent server selection behavior sometimes entail joining a longer queue to get processed quicker. Designing a service system of this kind to decide the number of counters required to provide the required level of service through simulation requires explicit modeling of intelligent server selection by customers. A simple simulation model of a parallel identical servers system and its experimentation indicates the benefits of capturing intelligent server selection in the model.

Introduction: Sustainable Operations in India

Abstract: This introductory chapter will serve the purpose of providing a brief history of sustainable operations in general and sustainable operations in India in particular. We also discuss about the various modules and chapters which are a part of this book.