The purpose of this study is to explore the potential relationship between a broken organizational contract and organizational commitment, among MBA students. It’s just a first stab at measuring workers’ perceived, vs. desired, organizational values.
race_ethnicity | N | Perc |
---|---|---|
6 | 2.26 | |
Asian/Asian American | 111 | 41.89 |
Black/African American | 4 | 1.51 |
Latino/Hispanic American | 30 | 11.32 |
Middle Eastern/Arab American | 7 | 2.64 |
Not listed | 12 | 4.53 |
White/European American | 95 | 35.85 |
Gender | N | Perc |
---|---|---|
Man | 159 | 60.00 |
Woman | 100 | 37.74 |
other | 6 | 2.26 |
age_mean | age_sd |
---|---|
28.38 | 2.88 |
industry | N | Perc |
---|---|---|
Agriculture | 2 | 0.78 |
Arts/entertainment | 3 | 1.16 |
Construction | 3 | 1.16 |
Consulting | 88 | 34.11 |
Consumer goods | 4 | 1.55 |
Educational services | 3 | 1.16 |
Federal, state, or local government | 3 | 1.16 |
Finance/insurance | 65 | 25.19 |
Food service | 3 | 1.16 |
Health or social care | 6 | 2.33 |
Manufacturing | 8 | 3.10 |
Nonprofit | 2 | 0.78 |
Other (please describe) | 25 | 9.69 |
Real estate, renting, and leasing | 4 | 1.55 |
Retail | 7 | 2.71 |
Technology/information technology | 31 | 12.02 |
Wholesale | 1 | 0.39 |
We want you to think of your most recent workplace.
That workplace’s mission is guided by a certain set of values. What are
the values that this organization stands for?
To indicate that organization’s priorities, you have a sum of 100
points. Please allocate those points to the following values based on
how important you think they are to the organization.
The values, presented in alphabetical order, are: Customer Service;
Diversity, Equity & Inclusion; Employee Well-Being; Innovation;
Passion; Profit; Quality; Sustainability.
So, If you think a certain value is more important than another value,
then the first value would get more points than the second. If you think
a certain value is not important at all, it would get zero points. Must
total 100 points.
value | mean_weight |
---|---|
Customer Service | 18.863636 |
Diversity, Equity, & Inclusion | 7.670454 |
Employee Well-Being | 9.818182 |
Innovation | 11.174242 |
Passion | 8.753788 |
Profit | 21.132576 |
Quality | 16.318182 |
Sustainability | 6.268939 |
Now, we want you to imagine your ideal workplace.
If you could work at any organization you want, what would be its
guiding values?
To that end, you have a sum of 100 points. Please allocate those points
to the following values based on how important they are TO YOU.
The values, presented in alphabetical order, are: Customer Service;
Diversity, Equity & Inclusion; Employee Well-Being; Innovation;
Passion; Profit; Quality; Sustainability.
So, If you think a certain value is more important than another value,
then the first value would get more points than the second. If you think
a certain value is not important at all, it would get zero points. Must
total 100 points.
value | mean_weight |
---|---|
Customer Service | 11.851711 |
Diversity, Equity, & Inclusion | 9.973384 |
Employee Well-Being | 16.068441 |
Innovation | 12.699620 |
Passion | 13.326996 |
Profit | 14.057034 |
Quality | 13.357414 |
Sustainability | 8.665399 |
To calculate difference scores, I took the absolute difference between past and present for each value and then took the mean of those differences. I’ll start here by showing the distributions above laid on top of each other, then the distributions of the difference scores, and then the distribution of the mean difference score.
Please indicate the extent to which agree or disagree with the
following statements as they relate to your most recent
workplace.
1. For me, my most recent workplace was a good place to work in.
2. My most recent workplace is attractive to me as a place for
employment.
3. I felt positive about having a job at that organization.
Cronbach’s alpha = 0.89
Mean difference score -> organizational commitment
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | 5.82 | [5.37, 6.27] | 25.49 | 250 | < .001 |
Diff overall | -0.09 | [-0.15, -0.04] | -3.44 | 250 | < .001 |
With controls:
Predictor | \(b\) | 95% CI | \(t\) | \(\mathit{df}\) | \(p\) |
---|---|---|---|---|---|
Intercept | 5.47 | [3.33, 7.62] | 5.03 | 239 | < .001 |
Diff overall | -0.09 | [-0.14, -0.03] | -3.06 | 239 | .002 |
Age | 0.01 | [-0.07, 0.08] | 0.25 | 239 | .803 |
GenderWoman | 0.23 | [-0.18, 0.65] | 1.11 | 239 | .268 |
Race ethnicityBlack/African American | -1.25 | [-2.90, 0.40] | -1.49 | 239 | .137 |
Race ethnicityLatino/Hispanic American | -0.24 | [-0.90, 0.42] | -0.72 | 239 | .474 |
Race ethnicityMiddle Eastern/Arab American | 0.54 | [-0.69, 1.77] | 0.87 | 239 | .386 |
Race ethnicityNot listed | -0.27 | [-1.22, 0.69] | -0.55 | 239 | .585 |
Race ethnicityWhite/European American | 0.04 | [-0.41, 0.49] | 0.20 | 239 | .844 |
Industry tenure | 0.00 | [-0.07, 0.06] | -0.13 | 239 | .897 |