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SCENARIO 3-1 Making sense of behaviour in organizations is challenging at the best of times.Many changes occur on almost a daily basis, which affects a company's ability to compete and maintain profitability while at the same time paying attention to employee needs, globalization and increasing multiculturalism.
Jack Fraser, director of human resources at Central Telecom, decided he wished to take some further training and join managers from other organizations to learn about the forces that shape workplace diversity.During his training sessions, Jack became keenly aware of the many factors that cause and contribute to diversity and what some of the impacts are upon employees individually and collectively.
Jack determined that if Central Telecom is to keep pace with the competition and provide a good place for employees to work and also retain their services over the longer term, he would have to develop some sort of program and standards to facilitate the process.Good dialogue with company personnel, accurate information from others with similar experiences, and a dedication toward a quality work life would all assist in this direction.
Sensitive issues centered on employee values and attitudes would have to be carefully addressed and the impact from the larger society considered and incorporated.In short, Jack needs to grasp not only a full understanding of organizational dynamics, but must use his experience and expertise to apply the process to his company.
To design a successful diversity training program Jack will need to design an approach that will focus on
Data Collection
The process of gathering and measuring information on variables of interest in a systematic fashion, enabling one to answer stated research questions, test hypotheses, and evaluate outcomes.
Null Hypothesis
A statement or hypothesis set up to be nullified or refuted in order to support an alternative hypothesis in statistical testing.
Significance Tests
Statistical tests used to determine whether the observed data deviates significantly from the null hypothesis or not.
Significance Test
A statistical test used to determine if there is enough evidence in a sample of data to infer that a condition holds true for the entire population.
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