“Who’s Running this Operation?” 1,2. Dr. Jake Simons Professor of Operations Management Department of Finance & Quantitative Analysis Georgia Southern University. 1 Soli Deo Gloria 2 Funded by SU04 COBA Summer Research Grant. Overview. Background Objectives Significance Methodology
Dr. Jake Simons
Professor of Operations Management
Department of Finance & Quantitative Analysis
Georgia Southern University
1 Soli Deo Gloria
2 Funded by SU04 COBA Summer Research Grant
Note: After an initial review of responses, I chose to exclude those from the Education sector.
Over 80% had bachelor’s or higher. (Over 30% had higher.)
Over- and under- representation of engineers makes sense.
Chi square test fails to recognize some predictable differences. However, there are also some similarities across sectors.
62% of degrees were from out of state!
(79% from public universities)
Regardless of business sector, the type of degree possessed was generally ranked second or third most important. (Prior work experience was most often ranked first and the academic major competed for type of degree for second most important.) (See follow-up on next slide.)
Although the differences from expected values were slight, the greatest deviations related to respondents in the manufacturing and wholesale sectors placing lower value on their particular majors. (See follow-up on next slide.)
Makes I.E. appear very strong in Manufacturing, but seems somewhat counter to the more general results of Q3 vs. Q11c.
Not that Chi square can detect, given numerous cells w/zero observations.
Irrespective of business sector, most respondents seemed satisfied.
(See follow-up on next slide.)
Chi square borderline only due to small numbers.
Chi square significant due only to small numbers.
Chi square mostly significant due to small numbers.
It's interesting that the IEs were MORE positive about an OM major than expected, given that their degree may be the closest to OM.