http://103.7.193.12:8080/xmlui/handle/123456789/17 DEPARTMENT OF AGRICULTURAL EXTENSION (AEX) 2026-07-26T08:19:49Z http://103.7.193.12:8080/xmlui/handle/123456789/2153 Effect of Work Design on Job Performance of SAAOs of DAE Mahmud, A. B. M. Sohel Work design is important for job performance because it can significantly impact how effectively and efficiently employees are able to carry out their tasks. A study was conducted to (1) determine the work design and the job performance, (2) assess the effects of work design on the job performance, (3) explore the influence of the selected characteristics on their job performance, and finally (4) identify the challenges for improving the work design and the job performance of the SAAOs of the DAE. The investigation was done with the SAAOs, their authority, and their respective farmers of seven upazilas of Dinajpur district: Birganj, Bochaganj, Chirirbandar, Birol, Kaharol, Khansama, and Sadar. Seventy-one (71) SAAOs were selected randomly as samples from the population of 142 SAAOs. To measure the job performance of the SAAOs, their respective supervisors (one for each SAAO) and the respondent farmers (two for each SAAO) were also interviewed to assess their perceptions regarding the job performance of the respective SAAO’s. Data were collected through face-to-face interviews of the respondents using a well-structured interview schedule from 01 October to 31 December 2020. The work design was measured by the four-point rating scale considering the four dimensions: (1) job demands, (2) job control, (3) perceived organizational support, and (4) perceived colleagues’ support. The job performance was also measured using the four point rating scale. Pearson’s Product Moment Correlation Coefficient (r) was computed to explore the relationships between the selected characteristics of the SAAOs and their job performance. To measure the contributions of the selected characteristics to job performance, multiple and step-wise regression analyses were done. The channel effects were measured using path analysis. The overall work design indicated that 52.1% respondents mentioned the existing work design as good followed by 33.8% as excellent and only 14.1% as poor. The Work Design Dimension Indices indicate that out of the four dimensions of the perceived colleagues’ support ranked the top followed by the perceived organizational support, job demands, and job control, respectively. The overall job performance indicates that 43.7% of the respondents had moderate followed by 32.4% had low and only 23.9% had high job performance. Six out of the 13 characteristics of the SAAOs: additional education, job facilities, managerial orientation, self-efficacy, job satisfaction, and work design had significant positive relationships with job performance at the 1% level of significance. The multiple regression analysis indicates that the four independent variables: additional education, job facilities, self-efficacy, and work design had significant positive contribution to job performance. However, the step-wise regression analysis indicates that the work design had the highest contribution (51.8%) in predicting job performance followed by job facilities, additional education, and job satisfaction, respectively. Moreover, the path analysis indicated that the work design had the highest direct effect on job performance followed by job satisfaction, job facilities, and additional education, respectively. In addition, the work design had the highest total indirect effect on job performance followed by job satisfaction, additional education, and job facilities, respectively. The top-ranked challenge for the improvement of the work design was the “training needed for sustainable agriculture” whereas for the improvement of the job performance “necessity of financial support for extra work” ranked the first. So, to improve the performance of the selected SAAOs in their respective jobs, emphasis should be given to improvising the existing work design from time to time keeping in mind the needs of the SAAOs. Moreover, the extension authority should create provisions for the skill development of the SAAOs through training and imparting non-formal education. Work benefits, accolades, appreciation, etc. should also be provided by the DAE to make the SAAOs’ content lucrative with their jobs. Effect of Work Design on Job Performance of SAAOs of DAE; A Dissertation Submitted to Hajee Mohammad Danesh Science and Technology University, Dinajpur In partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY IN AGRICULTURAL EXTENSION By A. B. M. Sohel Mahmud, Student No. 1805169, Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University Dinajpur; November 2022. 2023-11-01T00:00:00Z http://103.7.193.12:8080/xmlui/handle/123456789/2081 FARMERS’ IMPROVEMENT OF SOCIO-ECONOMIC STATUS THROUGH PARTICIPATION IN CIGs The study is aimed at exploring the improvement of socio-economic status of the CIG farmers and finding out the relationships between the selected characteristics of the farmers and their improvement of socio-economic status. Data were collected by using a pre-tested interview schedule from the farmers of three unions of Biral Upazila under Dinajpur district. Data were collected from randomly selected 105 respondents of the total 1050 CIG farmers from 20 December, 2018 to 25 January, 2019. The selected 10 characteristics of the farmers such as age, education, family size, farm size, farming experience, annual income, training experience, organizational participation, desirability, and use of information sources were considered as the explanatory variables where improvement of socio-economic status of the farmers considered as the focus issue of the study. Improvement of socio-economic status of the farmers was measured by 4-point rating scale. The observed score of overall improvement of socio-economic status of the farmers ranged from 2 to 48 while the possible range was 0 to 48. The mean improvement of socio-economic status score was 25.90 with a standard deviation of 9.64. Among the farmers, 67.6 percent belonged to medium improvement of socio-economic status while 16.2 percent of them had high improvement of socio-economic status and 16.2 percent had low improvement of socio-economic status. The variation regarding different aspects of improvement of socio-economic status was medium, the highest improvement of socio-economic status was observed in food security aspects and that was the lowest in technological aspects. Six out of ten selected characteristics of the farmers are education, farm size, training experience, organizational participation, desirability and use of information sources had significant positive relationships with their improvement of socio-economic status. Rests of the characteristics are age, family size, farming experience and annual income had no significant relationship with their improvement of socio-economic status. FARMERS’ IMPROVEMENT OF SOCIO-ECONOMIC STATUS THROUGH PARTICIPATION IN CIGs; A Thesis By LABONI; MASTER OF SCIENCE IN AGRICULTURAL EXTENSION, Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University, Dinajpur; JUNE, 2019. 2019-06-01T00:00:00Z http://103.7.193.12:8080/xmlui/handle/123456789/2042 SAAO’S PERCEPTION TOWARDS E-AGRICULTURE OF DAE: EXPERIENCES FROM NORTHERN BANGLADESH Islam, Md. Rabiul e-Agriculture is a new field that combines agricultural informatics, technology diffusion, and information that is transmitted over the internet or improved unite related technology. Thus, the present study aimed at determine the extent of Sub-Assistant Agriculture Officer’s (SAAO’s) perception towards e-Agriculture, to explore the factors associates with SAAO’s perception towards e-Agriculture, and to examine the challenges and opportunities of e Agriculture used by SAAOs. This study was covering the area of Dinajpur, Thakurgaon and Panchagarh district. A total of 198 SAAO’s were selected by proportionate random sampling from 409 SAAO’s of three districts constituted the sample of this study. Data were collected from the respondents during the period from 15 Sep 2020 to 15 March 2021 using pre structured interview schedule by the researcher. SAAO’s perception towards e-Agriculture was determined following 5 dimensions. These was a) weather information, b) smart cultivation, c) pest and diseases information, d) nutrients and water usage and e) market information. Each dimension have ten statements. Perception was measured by constructing Likert scale. For more clear understanding of the SAAO’s perception towards e-agriculture Perception Index (PI) was computed. Pearson’s Product Moment Correlation Coefficient (r) used for testing the relationships between the concerned variables. Stepwise multiple regression analysis and path analysis were conducted to determine the explanation of total variation of a given variable based on one or more variables. The Perception Index (PI) of fifty statements revealed that the SAAOs had considerable perception in ‘pest and diseases information’ and ‘smart cultivation’ dimensions. Slightly near about three-fifths (59.1 %) of the SAAO’s had moderately agreed total perception towards e-Agriculture in five dimensions while 21.7 percent of the SAAO’s had highly agreed total perception towards e Agriculture in five dimensions and only 19.2 percent of the respondents had highly agreed total perception towards e-Agriculture in five dimensions. Thus, huge majority (80.8 %) of the SAAOs had moderately agreed to highly agreed total perception towards e-Agriculture in five dimensions. Among the 14 factors associated with SAAO’s, eight factors such as job facilities, job satisfaction, job performance, usage of e-agriculture tools, ICT self-efficacy, scientific orientation, knowledge on e-Agriculture and role of ICT had positive and significant relationship with perception towards e-Agriculture. Age, family size, professional experience, annual family income, professional commitment and training received on ICT had no significant relationship. Linear multiple regression analysis was computed with eight significant variables which revealed that the regression coefficient of only five variables usage of e-agriculture tools, ICT self-efficacy, scientific orientation, knowledge on e Agriculture, and role of ICT had significant contribution to the perception of the SAAO’s towards e- Agriculture. Among these five, role of ICT contributed the highest, (20.60 %) followed by (11.40 %) variation by knowledge on e-Agriculture and (6.80 %) by scientific orientation. ‘Inadequacy of ICT training’ (89.39 %) emerged as the most important challenge expressed by the SAAO’s. The foremost (95.45 %) opportunity cited by the SAAO’s was ‘Provides by ICT related training’. SAAO’S PERCEPTION TOWARDS E-AGRICULTURE OF DAE: EXPERIENCES FROM NORTHERN BANGLADESH; A Dissertation Submitted in accordance with the requirements of the Hajee Mohammad Danesh Science and Technology University, Dinajpur for the degree of DOCTOR OF PHILOSHOPHY IN AGRICULTURAL EXTENSION By Md. Rabiul Islam, Student No. 1805186, Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University Dinajpur, Bangladesh; December 2022 . 2022-12-01T00:00:00Z http://103.7.193.12:8080/xmlui/handle/123456789/2022 FARMERS’ INFORMATION NEEDS FOR GOOD AGRICULTURAL PRACTICES (GAPs) IN DINAJPUR DISTRICT GAZI, RAYHAN FARUQ The main objectives of the study were to assess the information needs of farmers for good agricultural practices (GAPs), to explore the relationship between farmers‟ selected characteristics with their information needs for good agricultural practices (GAPs), and to determine the problems perceived by farmers in adopting good agricultural practices (GAPs). The study was conducted in two unions namely Betdighi and Aladipur of Phulbari upazila of Dinajpur district. One hundred four (104) farmers were interviewed using an interview schedule from 9 March to 2 April 2023. Simple and direct questions and appropriate scales were used in order to measure the selected variables. To measure farmers‟ information needs of good agricultural practices (GAPs), 20 items under four dimensions were considered. The selected items were measured on a four-point rating scale. Scores were assigned as 3, 2, 1, and 0 for „high‟, „medium‟, „low‟, and „no‟ information needs, respectively. The finding of the study revealed that the highest proportion (68.3 percent) of the respondents had the medium information needs while 28.8 percent had the high information needs and 2.9 percent of them had low information needs. Among four dimensions of good agricultural practices (GAPs) farmers expressed their utmost need of information for „sustainable and healthy production‟ and based on the Standardized Information Needs Index (SINI), „appropriate cultivation practices according to GAP policies‟ (SINI=92.31) was ranked first. Correlation analyses indicate that age, educational qualification, agricultural training received, knowledge of good agricultural practices, and contact with sources of information had significant negative relationships with farmers‟ information needs while attitude towards good agricultural practices had the significant positive relationship with the focus issue. Moreover, “lack of specialized skills in practicing complex GAP technologies and methods” (SPPI=95.83) was found to be the major problem perceived by the farmers in adopting good agricultural practices (GAPs). FARMERS’ INFORMATION NEEDS FOR GOOD AGRICULTURAL PRACTICES (GAPs) IN DINAJPUR DISTRICT; A Thesis By MD. RAYHAN FARUQ GAZI, Student No. 1905414, Semester: July-December; MASTER OF SCIENCE IN AGRICULTURAL EXTENSION, Department of Agricultural Extension, Hajee Mohammad Danesh Science and Technology University, Dinajpur; December 2022. 2022-12-01T00:00:00Z