Ramakrishnan Raman

A Fuzzy Petri-Net Based Conceptual Model for Risk Prediction in Enterprise Resource Planning (ERP) Acquisition Decisions for Small and Medium Enterprises

This study identifies and evaluates certain critical pitfalls in the acquisition phase of ERP adoption in Small and Medium Enterprises (SMEs) and develops a model for evaluating the risk of failure. On the acquisition stage a set of risks has been identified based on past research work and each of these risks have been explained through a set of well-defined risk factors or pitfalls. An evaluation model based on the concept of Fuzzy Petri Nets (FPN) is proposed in this study. FPN is used because it is simple and efficient and can quantitatively evaluate the risks inherent in the acquisition stage of ERP adoption by SMEs.

A Strategic Approach Using Governance, Risk and Compliance Model to Deal with Online Counterfeit Market

One major aspect that attracts Indian online retail customer is buying products at ease & convenience at competitive prices. The India e-commerce growth story has so far been remarkable. The starts ups are being immensely funded by angel investor and venture capitalists and the valuation game is keeping them lucrative. Although the growth of many e-commerce in the past five to six years have been impressive, sale of counterfeit products and the online counterfeit market is a chronic problem for many industries, brands and also to the government. In this paper the authors have analyzed the factors that influence online counterfeit market to flourish, the present policies, framework and strategies available to deal with this threat. This paper also attempts to understand using a survey, if youngsters in the age group of 20 to 30 years, who shop online are aware of the online counterfeit market and the existing solution to deal with it. An attempt has been made to propose strategies to deal with the online counterfeit market. The authors have given a terminology for online counterfeit market and also have created a Governance Risk Compliance model at al level to deal with online counterfeiting.