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How Employees and Organizations Manage Uncertainty: Norms, Implications, and Future Research
Unformatted Document Text:  5 The Uncertainty Management Matrix displayed in Figure 2 joins the individual employee’s tolerance for uncertainty (as measured by the Personal Uncertainty Score) and the organization's desire to embrace uncertainty (as measured by the Work Environment Uncertainty Score). Figure 2 Plotting Scores on the Uncertainty Management Matrix Embrace 84 Personal 58 Stifling Climate 3 Dynamic Climate 4 Uncertainty 57 (Y - Axis) Avoid 12 Status Quo Climate 1 Unsettling Climate 2 12 51 Avoid 52 84 Embrace Work Environment Uncertainty (X - Axis) Databank As of August 2002, 1046 subjects had completed the Working Climate Scale and were included in the database. Cronbach’s alpha for the Personal Uncertainty Scale is .68 and .72 for the Work Environment Uncertainty Scale. Results indicate that 37% of the respondents are male and 63% are female. The average age is 39.79 years, with a range from 16 to 74 years old. Average job tenure is 7.0 years, with a range from 1 month to 45 years. Limited data are available for education since this demographic was added to a later version of the questionnaire. Of the 207 subjects reporting their highest education level, 13.5% completed high school, 6.3% have a professional certification, 15.5% have a technical college degree, 44.4% have some college, 15.9% have an undergraduate college degree, and 4.3% have a graduate degree. Job position percentages are as follows: top management (10.0%), management (38.3%), non-management professional (27.0%), non-management/non-professional (19.8%), and other (4.9%). Organizations included in the database are located primarily in the United States, with some from Canada. The majority are non-profit (39.2%) with the rest distributed as follows: service (18.3%), industrial (17.5%), financial (13.9%), information technology (9.2%) and other (2.1%). We summarize the profile of the databank in Table 1. Method Based on their Working Climate Survey scores, respondents were placed in one of the four climates displayed in Figure 2. If an item on the survey was left blank, the mean score for that item was used to replace the missing value. Distribution of subjects across the four climates was

Authors: Williams, M.. and Clampitt, Phillip.
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background image
5
The Uncertainty Management Matrix displayed in Figure 2 joins the individual employee’s
tolerance for uncertainty (as measured by the Personal Uncertainty Score) and the organization's
desire to embrace uncertainty (as measured by the Work Environment Uncertainty Score).
Figure 2
Plotting Scores on the Uncertainty Management Matrix
Embrace 84
Personal 58
Stifling
Climate
3
Dynamic
Climate
4
Uncertainty 57
(Y - Axis)
Avoid 12
Status Quo
Climate
1
Unsettling
Climate
2
12 51
Avoid
52 84
Embrace
Work Environment Uncertainty
(X - Axis)
Databank
As of August 2002, 1046 subjects had completed the Working Climate Scale and were included
in the database. Cronbach’s alpha for the Personal Uncertainty Scale is .68 and .72 for the Work
Environment Uncertainty Scale. Results indicate that 37% of the respondents are male and 63%
are female. The average age is 39.79 years, with a range from 16 to 74 years old. Average job
tenure is 7.0 years, with a range from 1 month to 45 years. Limited data are available for
education since this demographic was added to a later version of the questionnaire. Of the 207
subjects reporting their highest education level, 13.5% completed high school, 6.3% have a
professional certification, 15.5% have a technical college degree, 44.4% have some college,
15.9% have an undergraduate college degree, and 4.3% have a graduate degree.
Job position percentages are as follows: top management (10.0%), management (38.3%), non-
management professional (27.0%), non-management/non-professional (19.8%), and other
(4.9%). Organizations included in the database are located primarily in the United States, with
some from Canada. The majority are non-profit (39.2%) with the rest distributed as follows:
service (18.3%), industrial (17.5%), financial (13.9%), information technology (9.2%) and other
(2.1%). We summarize the profile of the databank in Table 1.
Method

Based on their Working Climate Survey scores, respondents were placed in one of the four
climates displayed in Figure 2. If an item on the survey was left blank, the mean score for that
item was used to replace the missing value. Distribution of subjects across the four climates was


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