Bangladesh Journal of Multidisciplinary Scientific Research

THE MANAGEMENT FUNCTIONS ARE THE RIBS OF SUCCESSFUL ENTREPRENEURSHIP: A STUDY ON ENTREPRENEURS IN BANGLADESH

2023-04-11T17:06:41+00:00

A growing number of people, particularly young people, and women, are establishing their own businesses or starting new ventures, resulting in an increase in entrepreneurship in recent years. Within the first 15 years, 75% of new businesses fail. In Bangladesh, very few studies have been conducted on the utilization and roles of management functions in entrepreneurship. This study sought to highlight the protective qualities of management functions in entrepreneurship in Bangladesh by investigating some factors that define management functions and entrepreneurship success. The descriptive statistics design was used in the study. This study was based on a field survey conducted in the Bangladeshi city of Chattogram and an online questionnaire distributed to entrepreneurs from various sectors in Bangladesh. The sample was chosen using the Cluster Random sampling technique. The questionnaire was given to 207 people, and 150 responded; hence analyzed and presented in frequency distribution tables with percentages and some statistical analysis. Other data were obtained from published academic journals, articles, and other relevant internet materials. The findings indicate that utilizing management functions protects and maintains the success of entrepreneurship. According to the study, entrepreneurs should learn more about and utilize management functions to protect themselves from business failure.

JEL Classification Codes: G32, H12, M12, M13, O32.

MATERNAL NUTRITIONAL KNOWLEDGE AND DETERMINANTS OF THE CHILD NUTRITIONAL STATUS IN THE NORTHERN REGION OF BANGLADESH

2023-06-07T18:57:07+00:00

This present study investigates the factors that affect child nutrition and the status of maternal Knowledge in the northern region of Bangladesh. For this purpose, this study employs a cross-sectional data survey of two divisions in the northern region of Bangladesh, namely Rangpur and Rajshahi, from which three districts were chosen from each division using a simple random sampling process. This survey collected data from 527 respondents with face-to-face direct interview method. The questionnaire is in the native language for their understanding. This study applies Weight for Age, Height for Age, Weight for Height, and Weight for Height for the nutritional status of children. This study uses bivariate logistic analysis for factor analysis and descriptive analysis for mothers' nutritional Knowledge. The result shows that sanitation, mothers' Employment, maternal nutritional Knowledge, wealth index, maternal educational status, and antenatal care are the key significant determinants of child nutritional status. In addition, this study also reveals that only 30% of the total respondents were aware of the child's nutritional status while feeding their children, that is 158 out of 537 mothers. The findings of this study indicate that improvement in the rate of a child's dietary diversity, women's dietary diversity, and also self-esteem leads to an improvement in the child's nutritional status in a significant manner. It also indicates that moving towards an upward ceiling for cases including compulsory higher education for women, spreading awareness about child nutritional issues, and prohibiting child marriage and early premature pregnancy may enhance sustaining lives for them.

JEL Classification Codes: C13, C25, C51, J13, I12, I15.

WATER AND VEGETATION COVER CHANGE DETECTION USING MULTISPECTRAL SATELLITE IMAGERY: A CASE STUDY ON JHENAIDAH DISTRICT OF BANGLADESH

2023-08-15T11:58:41+00:00

Water and vegetation are the two most important land cover features of any natural setting. The Jhenaidah District of Bangladesh is known for its remarkable physical geography, featuring diversified vegetation cover and numerous oxbow lakes. Due to several anthropogenic causes, this majestic land cover is degrading rapidly. This study examines the study area's spatiotemporal water and vegetation cover change from 1990 to 2020. Freeware Satellite imageries from the USGS data archive were used as the main secondary data source, ensuring consistency by collecting dry season images. In addition, open discussions with the residents provided valuable insights into the situation. Remote sensing (RS) based Soil Adjusted Vegetation Index (SAVI) was used to detect the water and vegetation cover from the preprocessed satellite imageries. Furthermore, the water and vegetation cover were classified based on a scheme developed by field observation and discussion with the residents. The analysis reveals an overall 84.47% decline in dense vegetation, 63.01% decline in deep water cover, 185.69% increase in shallow water cover, and 16.08% increase in agricultural lands within the mentioned time frame. Almost all the upazila of Jhenauidah district experience the criticality of the land cover change. Among the upazila, Shailkupa faced an unprecedented decline in deep water (95.29%), and Kaliganj faced a heavy decrease in forested vegetation (92.40%). In contrast, shallow water expanded significantly in Sadar Upazila (251.37%), and agricultural land experienced the most increasing trend (32.70%) in Shailakupa Upazila.

JEL Classification Codes: C21, Q24, Q25.