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Table 1.1
Simon is initiating an organizational behavior effort at his company.He wants to look at how people communicate with each other and coordinate their work efforts. His boss, Bill, is skeptical, "We conducted a study of this kind ten years ago. I'm not sure we need to do it again at this time." Simon convinces his boss they need to press ahead anyway. As Bill and Simon discuss the OB effort, Simon learns several things about his boss. Bill believes that the key thing for a business is to fit the right person to the right job. He agrees with Simon's interest in careful selection and training of current and future employees.But, Bill believes that there is only one right way to run a company and do a job. Simon thinks that the company should create clearer lines of authority by eliminating their matrix organizational structure, they should encourage employees to formulate and implement plans, and they should increase specialization among employees and managers. As Bill and Simon discuss the company's problems and ways to improve performance, they mutually come to the conclusion that company's current poor performance is probably a function of the fact that they are setting the same goals and expectations for everyone and not considering individual strengths and weaknesses or taking the different work circumstances into consideration.
-Refer to Table 1.1. Simon's and Bill's agreement on the problem makes ________ the best management approach to take in solving the problem.
Interaction Term
A variable in statistical models that captures the effect of two or more variables simultaneously affecting a response variable.
Significance Level
The probability of inappropriately disapproving the null hypothesis in a study of statistics, generally labelled as alpha.
Linearly Related
Shows a direct correlation between two variables in which the rate of increase or decrease in one variable is consistent with the rate in the other variable.
Indicator Variables
Indicator variables, also known as dummy variables, are used in statistical models to represent categorical data by assigning a binary value (usually 0 or 1) to each category.
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