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Time Remaining 03. 02 Time Remaining 01 Time Remaining.

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Presentation on theme: "Time Remaining 03. 02 Time Remaining 01 Time Remaining."— Presentation transcript:

1 Time Remaining 03

2 02 Time Remaining

3 01 Time Remaining

4 00:00

5 JAGANNATH UNIVERSITY Department of Finance Bachelor Of Business Administration

6 Welcome To Our Presentation Presented By : Epimetheus-I

7 Serial No:Name of the members of the groupRoll NumberDesignation 01 Sultan Ahmed Khan091597 Group Leader 02 Md. Mynul Islam091633 Member 03 Md. Mofazzal Hossen091615 Member

8 Behavior of Employees & Its Determinantes

9 History of South East Bank Ltd. It was established in 1995 with a vision to become a pioneer banking institution of the country and contribute to the growth of the national economy. The incumbent Chairman of the Bank is Mr. Alamgir Kabir, FCA, & Mr. Ragib Ali, Vice Chairman of the bank.

10 History of South East Bank Ltd.(Cont.) Particulars200920082007 Authorized Capital10,000.003,500.00 Paid up Capital3,422.642,852.202,281.76 Reserve Fund / Others6,504.624,804.814,186.60 Deposit96,669.0568,714.6755,474.05 Advance77,497.5760,281.2648,164.60 Investment21,350.2312,299.618,462.86 Import Business69,582.9258,019.7738,470.34 Export Business46,724.4742,178.6028,771.36 Guarantee Business11,916.7415,078.999,008.32 Remittance Business23,800.0015,221.8711,040.17 Total Income13,702.2510,250.138,670.47 Total Expenditure9,087.797,237.555,754.27 Operating Profit4,614.663,012.582,916.20 Net Profit after Tax and Provision 1,870.19887.241,222.97

11 Behavior of its employee Southeast Bank is run by a team of efficient professionals. They creat and generate an environment of trust and discipline. It encourages and motivates everyone to work together for achieving the objectives of the Bank. This bank has such environment that helps the employee to create a banchmark of them. Southeast Bank takes pride for bringing women into the banking profession in a significant number for gender equality.

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13 Types of Variable Dependent VariableIndependent variable AbsenteeismValue & Attitude Perception Group Decision Making Power & Politics Organizational Culture Organizational structure & design

14 Questioners  What is the main reason behind absenteeism?  Maintaining your own value & attitude, how far you support absenteeism?  From your perception, how much minimum level of absenteeism affect on your personal productivity?  Do you think absenteeism of another person of your group affect your group decision making?  How absenteeism cause affect on your reputation due to power & politics?  How does your present organizational culture help to decrease absenteeism tendency?  How strict of your organizational structure & design in case of absenteeism?

15 Regression Equation Model Unstandardized Coefficients Standardized Coefficients tSig. B Std. ErrorBeta 1 (Constant) 2.5222.048 1.231.286 Value -.913.788-.480-1.159.311 Perception.935.523.5251.788.148 Decision.804.725.4521.109.329 Power -.913.444-.960-2.056.109 Culture.326.352.299.928.406 The required equation is Y=a+b 1 x 1 +b 2 x 2 +b 3 x 3 +b 4 x 4 +b 5 x 5 Where, Coefficients Y= Absenteeism a= Constant X 1 = Value X 2 = Perception X 3 = Decision X 4 = Power X 5 = Culture Y=2.522-.913X 1 +.935X 2 +.804X 3 -.913X 4 +.326X 5

16 Explanatory power of the independent variables  R 2 = Coefficient of multiple determination Model Summary a Predictors: (Constant), Culture, Decision, Perception, Value, Power R 2 =.745 indicates that independent variables explain 74.5% variation in the absenteeism which is more than 50%. So the variables are very influential. ModelRR Square Adjusted R Square Std. Error of the Estimate 1.863(a).745.427.695

17 Significance of coefficients and multiple regression Coefficients As b 1 is significant at.311 level which is more than.05 or 5% so there is no significant relationship between value and absenteeism. Other variables are also more than 5%. So, there is no significant relationship between Dependent and independent variables. Model Unstandardized Coefficients Standardized Coefficients tSig. B Std. ErrorBeta 1 (Constant) 2.5222.048 1.231.286 Value -.913.788-.480-1.159.311 Perception.935.523.5251.788.148 Decision.804.725.4521.109.329 Power -.913.444-.960-2.056.109 Culture.326.352.299.928.406

18 More influential Variable Coefficients a Predictors: (Constant), Culture, Decision, Perception, Value, Power  It can be understand by Beta coefficients, Perception Variable is most important Variable. Model Unstandardized Coefficients Standardized Coefficients tSig. B Std. ErrorBeta 1 (Constant) 2.5222.048 1.231.286 Value -.913.788-.480-1.159.311 Perception.935.523.5251.788.148 Decision.804.725.4521.109.329 Power -.913.444-.960-2.056.109 Culture.326.352.299.928.406

19 Thank You All for Staying with Us

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