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Unternehmertum und Organisationsmanagement

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Exploring the Relationship between Demographic Characteristics and Job Satisfaction Indicators: A study on Private Bank Employees in Bangladesh

Abstract

Md. Mostafijur Rahman, Md. RazwanHasan Khan Chowdhury, Md. Abdul Kader, Md. Amirul Islam, Mst. Ummay Tohfa

In this competitive business world satisfied employee is the prime asset of any business organization as employee’s satisfaction can ensure continuous growth. The purpose of this study was to exploring the significant relationships between demographic characteristics and job satisfaction indicators of private bank employees in Bangladesh. By using Yamane (1967) formula the study consisted of 56 (male 89.3% and female 10.7%) respondents and it used semi-structured questionnaire containing pre-coded and open-ended questions. All questions were rated with the Likert 5-point scale. As all the variables used in this study (both dependent and independent) were categorical, Chi-square test was used to assess the relationship. In this study, significant relations were found between some demographic characteristics, such as, sex, age, salary and family income with job satisfaction indicators which were the participation in decision making, training facilities and increase knowledge and capacity. Education and geographic location did not show any significant relationship with job satisfaction indicators. Around 92.5% male employees reported that the current organization helped to increase their knowledge and working capacity (p<0.028). More than half of the employees (55.3 %) of 30-35 age group could not take part in decision making (p<0.013). In addition, family income and salary also exerted significant associations with participation in decision-making and proper training facilities respectively. Several stakeholders and concern authorities should give top priority in these demographic areas while developing strategies to improve job satisfaction level of employees.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

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