Notice Board :

Call for Paper
Vol. 5 Issue 5

Submission Start Date:
May 01, 2018

Acceptence Notification Start:
May 10, 2018

Submission End:
May 15, 2018

Final MenuScript Due:
May 30, 2018

Publication Date:
June 04, 2018
                         Notice Board: Call for PaperVol. 5 Issue 5      Submission Start Date: May 01, 2018      Acceptence Notification Start: May 10, 2018      Submission End: May 15, 2018      Final MenuScript Due: May 30, 2018      Publication Date: June 04, 2018




Volume IV Issue XII

Author Name
Pritha Chaturvedi
Year Of Publication
2017
Volume and Issue
Volume 4 Issue 12
Abstract
Insurance in India refers to the market for insurance in India which covers both the public and private sector organizations. India’s insurable population is anticipated to touch 750 million in 2020, with life expectancy reaching 74 years. Furthermore, life insurance is projected to comprise 35 per cent of total savings by the end of this decade, as against 26 per cent in 2009-10.The Life insurance industry has went through several changes in the regulatory framework which is further changing the way the industry conducts its business and engages with its customers. Though the penetration and premium collection from the insurance sector has shown positive sign yet there remains a huge untapped segment signaling about the need for penetration. The paper is an attempt to study the current life insurance market and also provides an insight to the people at large regarding selection of an appropriate scheme and provider.
PaperID
2017/IJTRM/12/2017/9416

Author Name
Dr. Vinod Kumar Patidar
Year Of Publication
2017
Volume and Issue
Volume 4 Issue 12
Abstract
Workplace harassment and sex discrimination are a violation of human rights & Internationally condemned. Absenteeism, turnover, less productivity and job dissatisfaction are the result of harassment and sex discrimination at workplace. Due to enactment of various laws still it remains pervasive and underreported so no legislation has been able to eliminate it. In this study the researcher has tried to know the opinion of employees about the harassment and sex discrimination which they had encountered. For this study, total 200 employees from BPO and Hospitality sector were selected randomly. The study has suggested that in reducing the harassment & sex discrimination, strong workplace policies prohibiting harassment, workplace training and complaint process that protect from employees from retaliation seem to offer the most promised.
PaperID
2017/IJTRM/12/2017/9417

Author Name
Anjally Gupta
Year Of Publication
2017
Volume and Issue
Volume 4 Issue 12
Abstract
In today’s competitive economy it is often a race to find the most talented employees. With the culturally diverse population of India, these potential employees can come from many different cultural backgrounds. The objective of the study is to investigate and analyze the influence of culture on human resource management practices. The research is expected to answer the important question: Are HRM practices influenced by working culture or not? This research has been done using the primary data with a sample of 101 which is further categorized into two parts one is HR and another is Employee. Stratified sampling technique has been used in this research. To analyze the data we have applied descriptive statistics, Correlation, Regression, factor analysis and t –test. The results of the descriptive statistics indicates that the recruitment process is strongly influenced by the wage system of different culture impacts his performance in an organization. This research is based on original
PaperID
2017/IJTRM/12/2017/9421

Author Name
Yogesh Vahishtha, Abhishek Raghuvanshi
Year Of Publication
2017
Volume and Issue
Volume 4 Issue 12
Abstract
Data mining is computing process of discovering patterns in large data sets involving methods at the intersection of data base system. Data mining popular problem is High utility item set mining (HUI) or more generally utility mining (UI).The problem of HUI (High utility item set) is mainly introduction to frequently item set. Frequent pattern mining is a popular problem in data mining, which consists in finding frequent patterns in transaction databases. To solve the Problem of High utility item set (HUI) with some particular data and state of art of algorithms. To archive the HUI (High utility item set) many popular algorithm have been proposed for this problem such as “Apriori”, FP growth etc. but Now a days most popular algorithms TKO (mining Top-K utility item sets in One phase) and TKU (mining Top-K Utility item sets) here TKO is Top K in one phases and TKU is Top K in utility.
PaperID
2017/IJTRM/12/2017/9423