1. What Influences Salary of First-Time Faculty Positions in Marketing? Angeline G. Close, UNLV Julie A. Guidry, LSU Kent Monroe, U. Illinois/U. Richmond 2007 AMA Winter Educators Conference

2. Overview Previous Research Methods Variables of interest Results Discussion Limitations/Next Steps

3. Previous Research No previous research on factors that impact salary in marketing Research has been descriptive DocSIG Who Went Where SurveyDocSIG Focus: initial assistant professor placements Sample: doctoral candidates who have accepted tenure-track positions in marketing departments The Dickson Report Focus: previous hires and future hiring plans at all levels Sample: Department chairs (marketing) Research in other business disciplines

4. Methods Data –Responses (n=151) from the annual Who Went Where survey for 2005 & 2006 –Candidates hired at U.S. institutions Survey Procedures –Conducted in April –Survey announcements Information Collected –Salary & hiring institution characteristics –Information about the job search process –Characteristics about the informant

5. Variables of Interest Factors students had some degree of control Publication record A-level, B-level, proceedings Dissertation status Teaching experience Years in the doctoral program Managerial experience AMA-Sheth doctoral consortium attendee? Number of letters of applications

6. ANOVA: Dissertation Status F = 8.47 p <.001

7. Hierarchical Regression: Steps 1 & 2 VariableβR 2 ΔR 2 Step 1.070*** Year.266*** Step 2.404***.333*** As Submitted.141* As Past 1st Review.116 As Published.330*** Bs Submitted -.099 Bs Past 1st Review -.026 Bs Published -.066 Proceedings -.056 Proposal not defended -.282*** Proposal defended, but no data -.165** Dissertation defended -.224*** * p <.10 ** p <.05 ***p <.01

8. Hierarchical Regression: Steps 3 & 4 VariableβR 2 ΔR 2 Step 3.444***.040*** Teaching experience-.175** Years in program.140* Step 4.482***.039*** Managerial experience-.112 Application letters.109 Doctoral consortium.117* * p <.10 ** p <.05 ***p <.01

9. Descriptive Statistics: A-Level Publication Variables Variable Category Percentage 2005 2006 As Submitted 0 62.3 63.4 1 27.5 26.8 2 4.3 6.1 3 or more 1.4 3.6 As Past 1 Review0 78.3 68.8 1 15.9 26.3 2 1.4 3.8 3 or more 2.8 1.2 As Published/ Forthcoming0 88.4 82.9 1 5.8 9.8 2 2.9 4.9 3 or more 1.4 1.2

10. Descriptive Statistics: Dissertation Status Category Percentage 2005 2006 Proposal not defended 18.8 32.9 Proposal defendedno data 31.9 15.9 Proposal defendedwith data 39.1 43.9 Dissertation defended 5.8 6.1

11. Discussion Shooting for/publishing in A s explains most variance in salary Publishing in other journals/conferences is not significantly related to salary Dissertation status is also critical Those who interviewed at AMA with a defended proposal AND data commanded highest salaries Years in program/doc consortium had positive influence on salary Teaching had negative influence on salary

12. Limitations/Next Steps Currently incorporating interview data from professors on hiring committees Non-response Bias Generalizability Adding other variables that may also influence salary: –Prestige of doctoral program/department –Dissertation topic –Cost of Living Index (COLI)