The world in which we live is hyper-dynamic with multiple inputs, outputs and
expectations. As it relates to the fast pace of corporate America, customers
want products and services within a tighter market window, with no defects and
for lower costs. Stakeholders insist that managers do more with less human and financial resources yet more aggressive technological and sales
goals. These realities translate into a more complex work environment in that the
emotional toll of pending economic outcomes act to motivate or paralyze the
very engine designed to produce the desired outcomes the employees.
The body of work presented in this dissertation directly addresses the empirical
relationship between the perceptions of the work context factors of leadership,
task autonomy and social support networks with respect to the positive and negative emotions of the employees of the engineering firm that participated in
this study. The empirical results from this research indicate that a positive and
significant interrelationship does exist among the factors examined in this study.
The employees studied included 249 middle to upper level managers of whom
78.7% were men and 21.3% were women. The range of years of experience for
the participants varied from new hire to more than 20 years. Homogeneity of
Variance tests confirms the validity of comparative analysis for the segmented
data population. Multivariate statistics were used to address the four research
questions. The strongest correlations occurred for the subgroups of women and
non-managers with respect to the relationship of social support networks and
positive emotions. Until now, there has been no empirical research linking the
social support networks factor directly to emotions.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3074 |
| Date | 12 April 2006 |
| Creators | Wickliff, Tanya Verniece Dugat |
| Contributors | Watson, Karan L. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 915461 bytes, electronic, application/pdf, born digital |
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