Application of Organizational Change

question 136

Multiple Choice

Application of Organizational Change
Krista is unsure what to do next. Her company is about to implement a radical new technology transformation that will affect every person in the organization. They are basically updating their plant to the 21st century, and almost everything is changing. Krista is in charge of assisting the members of the company with the planned changes. Since it is a long- term change that is organization- wide, management felt that someone needed to facilitate the change because, in essence, it was changing the culture of the company. The first thing Krista did was to ask employees a specific set of questions about the perceived changes. From this data, Krista then needed to decide what to do next. An outside consultant has been hired to help Krista diagnose the interpersonal processes that needed improvement. The move from functional departmentalization to work teams was a change necessitated by the new technology. This was a major change for employees who had worked in specific departments for most of their careers. Furthermore, the teams will have to interact with each other as they use the new technology. Krista feels that her task is almost overwhelming.
-Krista is in charge of

• A)cultural change.
• B)organizational development.
• C)strategic human resource planning.
• D)human resource management.

---

Definitions:

Degrees Of Freedom

A concept in statistical analysis that represents the number of values in a calculation that are free to vary without violating any given constraints.

Area Under Curve

A measure or area in graphical analysis, often used in statistics to quantify the total value represented by the graphed data.

Student T-Distribution

A distribution of probability that occurs when the average of a population with a normal distribution is being estimated under conditions where the sample size is limited and the standard deviation of the population is not known.

Degrees Of Freedom

Degrees of freedom refer to the number of values in a statistical calculation that are free to vary when estimating some kind of parameter, influencing the shape of various statistical distributions.