Informatics Publishing Limited

Meena Sharma

Abstract

Many studies have been done on identifying the personality traits of Generation Y which is broadly categorized as the population born between 1980-2000. These studies found out that this generation is extremely smart, tech-savvy, confident, upbeat, open minded, creative, optimistic and independent, ideally suited for today's new corporations. They are excellent multi-taskers and prefer text-based communication styles through e-mail and text messages over face-toface interaction, vastly different from preceding generations of generation Xs. They demand for a flexible working lifestyle and the freedom to develop and advance them- which shows that they are not intimidated by authority or afraid to speak up. They seek supervisors and mentors who are highly engaged in their professional development. Generation Y have a totally different approach towards their life and career as they prefer challenging and meaningful career and work environment. They are eager to learn and willing to try new pedagogical tools that engage their creative minds. In the light of the previous researches this paper attempts to validate these personality traits of the Gen Y for the selected sample of the population.

Keywords

Generation Y, Personality, Personality Traits, Professional Domain

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V. Singh ¹, Meena Sharma ¹, D. K. Jain ¹

Affiliations
1 School of Plant Morphology, Meerut College, Meerut, IN

Abstract

Structure, development and distribution of trichomes on the floral appendages of 12 species of Salvia have been studied. A total of 17 types of nonglandular'and glandular trichomes have been recognised. They provide good taxonomic criteria on specific level and on the basis of types of trichomes and their distribution a key has been devised to distinguish various species of Salvia investigated.

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Jyoti Singh ¹, A. K. Vashisht ¹, Meena Sharma ¹

Affiliations
1 University Business School, Panjab University, Chandigarh, IN

Abstract

The banking industry is a vital part of the economy and is continually facing intense competition with changing bank reforms. An efficient and stable banking industry is today's demand and essential for productivity of the economy. This paper examines the efficiency of 46 Indian private and public sector banks from 2010 to 2014 using non-parametric DEA methodology. The study reveals that private banks are relatively more efficient than public banks and form a major part of the efficient frontier. The study also reveals that managerial inefficiency is the main cause for overall technical inefficiency of private banks than scale inefficiency. On the other hand, public banks have suffered more from scale inefficiency for some years than managerial inefficiency. Moreover, on an average, the difference between efficiency scores of private and public banks is found to be statistically insignificant except scale efficiency, significant for three years continuously i.e. 2010, 2011 and 2012.

Keywords

Indian Banks, Data Envelopment Analysis, Efficiency.

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Babita Pathik ¹, Meena Sharma ¹

Affiliations
1 Devi Ahilya University, Indore - 452001, Madhya Pradesh, IN

Abstract

Objectives: To portray a framework for change impact analysis. The proposed framework is a briefing about the techniques and methods used for analysis of code change impact. Statistical Analysis: Software change is a part of Software evolution process. Periodically change is required by the user for enhancement of the functionalities of the systems. Any change in a software system may affect some other part of the source code. A profound study and ample analysis are done for code change impact on literature. The study is focused on the properties and objects of analysis techniques and artifacts considered. Findings: Many approaches have been mentioned by researchers to analyze the change impact. A comparative analysis of types of analysis technique, intermediate tools support and various artifacts taken as objects is discussed. The analysis is done on the basis of methodologies used which may be a great help for future researchers. They can consider the combination of objects and apply information retrieval, text processing techniques. Application/Improvements: The change impact analysis helps to estimate testing effort and maintenance cost because testing of the whole system may cost higher.

Keywords

Code Change, Change Impact, Evolution, Software Change, Software, Testing

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