The Impact of Big Five Personality Traits and Positive Psychological Strengths towards Job Satisfaction: a Review

Human resource can be a dynamic asset or a debilitating liability depending upon how well it is harnessed. Many progressive organizations around the world have begun to internalize this reality and keeping the human resource satisfied is considered one of the key factors for the success of any organization. Dispositional base of job satisfaction has gained renewed interest since job satisfaction is a mixture of beliefs and feelings. With an eye toward research and practice, the current study consolidates various literatures and examines the relationship between Big Five Personality, Positive psychological strengths towards job satisfaction. The study also takes into consideration the demographic impact towards job satisfaction. It provides acumen and a different magnitude for predicting job satisfaction apart from conventional variables like work itself, pay, promotion, supervision, co-workers

A review of customer satisfaction towards service quality of banking sector

Service process performance of an organization should be measured continuously to achieve competitive advantage and this is possible through providing excellent service by any organization. The quality of the products or the quality of customer service determines the degree of customer satisfaction. The customer satisfaction not only means, satisfying the customers but also customer retention in case of service failure. The organization should solve the complaints through various service recovery strategies. It is mandatory to identify the impact of service failure and customer feedback for the survival, success and prosperity of an organization. The real victory of an organization is based on the degree of loyalty of the customers. This paper attempts to summarize the results of literature review on customer satisfaction towards the services of a bank from five different perspectives namely, service encounters, waiting time of the customer to get the service, role of intermediaries, quality of service provid ed and customer complaints towards the bank. Attraction, retention and enhancement of the customer relationship are essential to maintain, delighted and committed customers, who form the basis for the sustainable competitive position of the bank. This study can also be extended to tourism and hospitality, insurance companies, hospitals, transport corporations, railways, airlines, telecommunications, libraries and other service sectors to assess the degree of quality of service offered by them

Strengthening the Team Performance through Personality and Emotional Intelligence: Smart PLS Approach

The aim of the current study is to analyze the relationships of Emotional Intelligence (EI) dimension and Personality (P) traits of individual towards Team Performance (TP). The current study analyses the effect of Emotional Intelligence (Goleman, 1995) and personality (Big Five personality; Gosling et al., 2003) traits for Air India employees’ Team Performance. This study has used a simple random sampling method with a sample size of one hundred and twenty five employees from Air India .The Current study uses Smart PLS based Structural Equation Modeling approach and the results shows that Personality and Emotional Intelligence affects the team performance by 72.080% which is a considerable effect and this concludes that EI is a vital factor and it is considered as work place glue of individual personality and team performance of the contemporary organization.JEL Codes - M12; M54; D9

A study on efficacy of employee training: review of literature

The success of any organization depends on appropriate use of human assets available in the organization. All other assets could only be supplementary to human assets. Towards augmenting the human resources and to cope with changes – both internal and external, the organization has to concentrate necessarily on developing the ability, wisdom and skills of its workforce. For the development of human asset, ‘training’ becomes the base. Training is a tool to attain individual, organizational needs related to the jobs undertaken and is also intended to improve the work culture of the group involved in a group task. An ideal training programme can be expected to change the attitude, skills and develop forward vision of the participants towards the task. This paper summarizes the results of the literature review on the effectiveness of training programmes of employees from diverse perspective

Strengthening the Team Performance through Personality and Emotional Intelligence: Smart PLS Approach

The aim of the current study is to analyze the relationships of Emotional Intelligence (EI) dimension and Personality (P) traits of individual towards Team Performance (TP). The current study analyses the effect of Emotional Intelligence (Goleman, 1995) and personality (Big Five personality; Gosling et al., 2003) traits for Air India employees’ Team Performance. This study has used a simple random sampling method with a sample size of one hundred and twenty five employees from Air India. The Current study uses Smart PLS based Structural Equation Modeling approach and the results shows that Personality and Emotional Intelligence affects the team performance by 72.080% which is a considerable effect and this concludes that EI is a vital factor and it is considered as work place glue of individual personality and team performance of the contemporary organization.

A Dispositional Approach to Examine the Impact towards Students Stressors in Indian Context

The current study explored the relationship between big five personality factors and various stressors of the students who are undergraduate, postgraduate and research scholars from nine colleges in North Chennai. The study is based on quantitative data with descriptive research design. The 20-item personality inventory developed by Donnellen et al. (2006) was used to analyse their personality and the stressors was measured using MSSQ (Medical Student Stressor Questionnaire) scale developed by Yusoff (2011). A total of 250 students were selected as respondents using cluster random sampling technique. It revealed a significant positive relationship with neuroticism and three types of stressors (academic, inter and intra personal and social). It also throws light on the personality trait, namely openness to experience played a major role in predicting the academic performance (CGPA). Through regression, it can be concluded that personality has a significant positive relationship with both academic and social stressors. The findings will provide appropriate measures for educators by realizing the importance of personality the student possesses and applying suitable strategies for them to improve their academic performance. The dispersal of the study’s findings will significantly help students and the educators in the region

A study on efficacy of induction training programme in Indian railways using factor analysis

The induction training is very vital for all the new recruits. It helps to reduce the time and cost for the employees to adhere to the organization and facilitate the new employees to perform effectively. It helps the employees to feel with greater morale and they create oneness and cohesiveness among the members of the organization. Hence this internal motivation, the warm feeling as well as initial level of   skills and knowledge imparted by the induction training helps the new recruits to glue themselves easily to their job and towards the organization. The study analyze the factors that influences the effectiveness of induction training programme and the impact of induction training programme towards middle and lower level employees using factor analysis

The viability of neural network for modeling the impact of individual job satisfiers on work commitment in Indian manufacturing unit

This paper provides an exposition about application of neural networks in the context of research to find out the contribution of individual job satisfiers towards work commitment. The purpose of the current study is to build a predictive model to estimate the normalized importance of individual job satisfiers towards work commitment of employees working in TVS Group, an Indian automobile company. The study is based on the tool developed by Spector (1985) and Sue Hayday (2003).The input variable of the study consists of nine independent individual job satisfiers which includes Pay, Promotion, Supervision, Benefits, Rewards, Operating procedures, Co-workers, Work-itself and Communication of Spector (1985) and dependent variable as work commitment of Sue Hayday (2003).The primary data has been collected using a closed-ended questionnaire based on simple random sampling approach. This study employed the multilayer Perceptron neural network model to envisage the level of job satisfiers towards work commitment. The result from the multilayer Perceptron neural network model displayed with four hidden layer with correct classification rate of 70% and 30% for training and testing data set. The normalized importance shows high value for coworkers, superior satisfaction and communication and which acts as most significant attributes of job satisfiers that predicts the overall work commitment of employees

The viability of neural network for modeling the impact of individual job satisfiers on work commitment in Indian manufacturing unit

This paper provides an exposition about application of neural networks in the context of research to find out the contribution of individual job satisfiers towards work commitment. The purpose of the current study is to build a predictive model to estimate the normalized importance of individual job satisfiers towards work commitment of employees working in TVS Group, an Indian automobile company. The study is based on the tool developed by Spector (1985) and Sue Hayday (2003).The input variable of the study consists of nine independent individual job satisfiers which includes Pay, Promotion, Supervision, Benefits, Rewards, Operating procedures, Co-workers, Work-itself and Communication of Spector (1985) and dependent variable as work commitment of Sue Hayday (2003).The primary data has been collected using a closed-ended questionnaire based on simple random sampling approach. This study employed the multilayer Perceptron neural network model to envisage the level of job satisfiers towards work commitment. The result from the multilayer Perceptron neural network model displayed with four hidden layer with correct classification rate of 70% and 30% for training and testing data set. The normalized importance shows high value for coworkers, superior satisfaction and communication and which acts as most significant attributes of job satisfiers that predicts the overall work commitment of employees