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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

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

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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 - PowerPoint PPT Presentation

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What Influences Salary of First-Time Faculty

Positions in Marketing?

Angeline G. Close, UNLVJulie A. Guidry, LSU

Kent Monroe, U. Illinois/U. Richmond

2007 AMA Winter Educators’ Conference

Overview

• Previous Research

• Methods

• Variables of interest

• Results

• Discussion

• Limitations/Next Steps

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

Kent B Monroe
The Dickson survey asks schools their hiring plans for the next year or two at all levels. It also seeks data on their most recent hires: salary, summer support. It does not have the individual information that is obtained from the DocSig survey.

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

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

ANOVA:Dissertation Status

DISS_STA

Diss defendedPD--w ith dataPD--no dataProp not defend

Me

an

of

ba

se s

ala

ry110000

100000

90000

F = 8.47

p < .001

Hierarchical Regression:Steps 1 & 2

Variable β R2 ΔR2

Step 1 .070***

Year .266***

Step 2 .404*** .333***A’s Submitted .141*A’s Past 1st Review .116A’s Published .330***B’s Submitted -.099B’s Past 1st Review -.026B’s Published -.066Proceedings -.056Proposal not defended -.282***Proposal defended, but no data -.165**Dissertation defended -.224***

* p < .10** p < .05***p < .01

Hierarchical Regression:Steps 3 & 4

Variable β R2 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

Descriptive Statistics:A-Level Publication Variables

Variable Category Percentage

2005 2006A’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 68.81 15.9 26.32 1.4 3.8

3 or more 2.8 1.2A’s Published/ Forthcoming 0 88.4 82.9

1 5.8 9.82 2.9 4.9

3 or more 1.4 1.2

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

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

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)