Employee performance evaluation is considered to be a very time consuming and uphlll task by large number of Indian IT industries. Employers every year struggle to find just and fair ways to identify the best performers as it is a quite subjective task. An extensive literature review and a survey with HR managers provided the framework for the model development in this research. Performance evaluations represent a critically important decision that often involves subjective information. This research draws attention to a model for establishing promotion evaluation based on critical criteria. The proposed technique through this research is to produce a logical performance evaluation of various employees. A survey was conducted in IT companies to obtain a list of criteria that are significant for promotion of an employee. Afterwards, another survey was conducted to know about the details of latest promotion done to ascertain the criteria for three employees under consideration for promotion and to evaluate the relative weights of the criteria elements viz employees to demonstrate the proposed model using AHP to optimize the decision. This paper presents a methodology based on Analytical Hierarchy Process (AHP) to enhance the decision making process for performance evaluation of employees. The findings of research will help the HR managers to assess their evaluation process.
Retailing is the most active and attractive sector of the last decade. However, there has been a dismal performance by many domestic and global players because of the Westernised formats followed blindly and then replicated without considering the profound differences in various macro and micro environmental factors. So there is a need to find out the difference in retail purchase behaviour of people with different demographics and geographic locations which is particularly important in case of Food and Grocery segment. This paper projects the variation in Retail Purchase Factors across customers with different demographics and geographic locations and suggests a way out for formulating retail strategy for the upcoming retailers.
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