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What Influences Salary of First-Time Faculty Positions in Marketing?

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. Overview. Previous Research Methods Variables of interest Results Discussion

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What Influences Salary of First-Time Faculty Positions in Marketing?

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  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” Survey • 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 Variable βR2 ΔR2 Step 1 .070*** Year .266*** Step 2 .404*** .333*** A’s Submitted .141* A’s Past 1st Review .116 A’s Published .330*** B’s Submitted -.099 B’s Past 1st Review -.026 B’s 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 Variable βR2 ΔR2 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 A’s Submitted 0 62.3 63.4 1 27.5 26.8 2 4.3 6.1 3 or more 1.4 3.6 A’s Past 1 Review 0 78.3 68.8 1 15.9 26.3 2 1.4 3.8 3 or more 2.8 1.2 A’s Published/ Forthcoming 0 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 defended—no data 31.9 15.9 Proposal defended—with 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)

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