Academic Year 2005-2006
MIS Salary Survey Results (Final)

See analysis at www.pitt.edu/~galletta/2005anal.html

Editor: Dennis Galletta
University of Pittsburgh


Scope

Although this survey can and does represent wages from anywhere in the world, this survey makes use of U.S. dollars for comparing and averaging, and forces respondents to do a one-time conversion, freezing the numbers at a point in time. There are advantages and disadvantages from making these simplifying assumptions, but this (over)simplification has been chosen. Philosophically, also, is the fact that in different countries there are different salary models at work. In the U.S. the modal situation is that a faculty salary is high enough to raise a family quite comfortably. In many other countries, there are large numbers of universities that provide extremely low pay, requiring faculty to supplement their pay with substantial amounts of consulting. This survey is not very meaningful for situations in which you need several other engagements to support a family. In many countries there is wide variance on this issue, and some schools pay comfortable wages for university teaching. For those schools this survey can be useful. Thus, the school, not the country, would determine the usefulness of this survey.

Instructions

To enter your data, use the anonymous or non-anonymous form. Also, you might press the refresh or reload button to make sure you have the latest version.

To analyze these data, download the Excel Spreadsheet with Pivot Table, generously provided by Ido Millet of Penn State Erie. The large spreadsheet is useful for slicing and dicing the data to provide meaning to the data. For example, on the chart page, one useful approach for a U.S. research school looking to see average salaries for an assistant professor would be to click on where it says "All" next to the Country tab, and click USA, click on the "All" next to the Teaching/Research tab and select "research," and finally to click "All" next to "Candidate Education" and select "PhD/DBA." Because major salary points are determined by these three factors, you should select your desired combination of these three selections before drawing any conclusions about salaries. Caution: the sample size might become rather small depending on your combination, making the graph exhibit large swings.

Description

These data represent reports by candidates of their academic job offers in Information Systems for the academic year 2004-2005. A new survey will begin each academic year in September. Please feel free to browse the last few years' results at:

Results by Academic Year

[2006-2007 (so far)]
[2005-2006] [Analysis]
[2004-2005] [Analysis]
[2003-2004] [Analysis]
[2002-2003] [Analysis]
[2001-2002] [Analysis]
[2000-2001] [Analysis]
[1999-2000] [Analysis]
[1998-1999] [Analysis]

Some entries were submitted non-anonymously; please do not contact me to discover the identity of any of the entries.

Please use these data at your own risk; there is no guarantee that respondents were truthful, entered the data without error, or represent an unbiased sample of the population.

See the cautions below on importing the table into a spreadsheet.

Results so far:

# Identity
revealed?
Years
teaching
Educ. Top Tier*
Journal
Pubs
Other
refereed
Journal
Pubs
Textooks
Published
Research Books
Published
Other
Publications
Salary Summer
Support
per year
Years of
Summer
Support
Research
budget
Moving
Support
Course
Load
Tenure Req
Level (Note 12)
Number
of "A"
Pubs
Required
for tenure
Number
of Pubs
Required
for tenure
Position Campus
type
Public
or private
Union? Country Region School's
highest
degree
School's
highest
accredit.
Accepted?
1 1 Phd/DBA 1 60,840 3 2000 5000 4 2 0 3 Asst urban public X Australia unspecified Doctorate National Have accepted
2 yes 2 Phd/DBA 0 0 0 0 1 100000 22000 2 5000 4500 4 3 2 6 Asst suburban public USA US M.W. unspecified National Have accepted
3 yes 3 Phd/DBA 0 2 0 0 10 87,500 13,000 5 2000 1000 6 1 0 5 Asst rural public USA US S. Masters National Have accepted
4 1 Phd/DBA 0 5 0 0 10 73,000 0 1,200 4,000 5 2 0 8 Asst urban public X Canada unspecified Masters unspecified Have accepted
5 4 Phd/DBA 3 8 0 0 2 126000 27000 3 11000 3 3 6 12 switched Asst suburban public us US N.E. Doctorate National Have accepted
6 yes 2 Phd/DBA 100000 10000 2 3000 4000 5 2 1 5 Asst urban private U.S. US S. Masters National Have accepted
7 3 MBA/MS 0 0 0 0 2 85000 1 7 0 2 4 instructor urban private US US W. Masters National Have accepted
8 1 Phd/DBA 0 0 0 0 5 90,000 0 4 1 0 2 Asst rural public US US S. Masters National Have accepted
9 1 Phd/DBA 3 6 12 107000 22000 3 5000 6000 4 2 3 8 Asst rural public unspecified US US M.W. Doctorate National Have accepted
10 yes 8 Phd/DBA 5 23 0 0 8 164000 41000 13000 9000 3 2 full/chair suburban public USA US S. Doctorate National Have accepted
11 yes 6 unspecified 0 10 0 0 12 90000 5000 3 2000 5000 5 2 1 7 switched Asst urban public usa US W. Masters National might accept
12 1 Phd/DBA 1 1 1 104000 10000 3 3500 4 2 3 7 Asst suburban public unspecified us US S. Masters National won't accept
13 0 Phd/DBA 0 0 0 0 0 100000 20000 2 1500 7000 3 2 3 12 Asst urban public US US S. Doctorate National Have accepted
14 1 Phd/DBA 0 0 0 0 1 99000 10000 2 0 5000 5 1 5 Asst urban US M.W.
15 10 Phd/DBA 1 9 3 0 27 90000 0 6 1000 1000 6 2 15 85 assoc/not tenured rural public United States US S. Masters National Have accepted
16 4 Phd/DBA 0 12 0 0 40 30000 6 0 switched Asst urban public Taiwan ROC unspecified Masters Regional Have accepted
17 Phd/DBA 10 5 85,000 28,333 1 70,000 6,000 1 1 2 4 switched Asst suburban public unspecified USA US S. Doctorate unspecified Have accepted
18 yes 3 Phd/DBA 0 2 0 0 8 85000 5500 2 0 4000 6 1 0 4 Asst suburban public United States US M.W. Masters National Have accepted
19 1 MBA/MS 3 5 44200 2 unspecified instructor urban public X The Netherlands unspecified Doctorate National Have accepted
20 5 Phd/DBA 1 4 22 95000 2500 2000 6 2 3 switched Asst suburban public USA US M.W. Masters National Have accepted
21 4 Phd/DBA 3 4 10 108,000 12,000 2 5000 4 2 1 6 Asst rural public USA US M.W. Doctorate National Have accepted
22 4 Phd/DBA 3 4 10 95,000 10,000 3 4000 4 2 2 6 Asst rural public USA US W. Doctorate National won't accept
23 12 Phd/DBA 1 42 2 0 12 89000 15000 1 7000 0 18 1 0 4 assoc/not tenured urban public USA US S. Bachelor National Have accepted
24 0 Phd/DBA 1 0 0 0 4 100000 3000 3 6000 3 3 6 10 Asst rural private USA US M.W. Doctorate National Have accepted
25 4 MBA/MS 0 0 0 0 1 12000 0 2 0 0 135 0 instructor suburban public X Mauritius unspecified Doctorate none Have accepted
26 yes 2 Phd/DBA 0 0 0 0 2 91000 5000 2 0 3500 3 2 6 2 Asst urban public unspecified US US N.E. Doctorate National Have accepted
27 yes 1 Phd/DBA 0 5 0 0 6 75000 0 2000 6 2 2 5 Asst suburban public X U.S.A. US N.E. Doctorate National Have accepted
28 yes 6 Phd/DBA 4 1 62000 5 0 4 1 3 5 associate/tenure rural public X USA US N.E. Masters National Have accepted
29 yes 15 Phd/DBA 1 15 0 0 25 94000 0 0 0 0 4 2 1 8 switched Asst suburban public USA US W. Masters National Have accepted
30 5 Phd/DBA 0 0 0 0 8 92000 5000 2 3500 6 1 1 4 Asst urban public unspecified USA US N.E. Doctorate National Have accepted
31 2 Phd/DBA 1 4 0 0 9 52900 7000 8000 3 2 Asst urban public X New Zealand unspecified Doctorate National Have accepted
32 8 Phd/DBA 2 8 0 0 20 85000 0 2800 0 6 2 1-2 6 switched Asst suburban public X USA US N.E. Masters National won't accept
33 0 Phd/DBA 0 0 0 0 7 85,000.00 5,000.00 2,000.00 6 1 0 10 Asst suburban public USA US S. Masters National Have accepted
34 1 Phd/DBA 0 0 0 0 2 90000 5000 0 2000 6 1 1 5 Asst suburban public X USA US S. Masters National Have accepted
35 8 unspecified 0 4 90,000 1 Asst suburban public US S. Bachelor National Have accepted
36 1 Phd/DBA 0 2 0 0 4 102,500 10,000 2 0 2,000 4 2 4 10 Asst suburban public US US M.W. Doctorate National won't accept
37 1 Phd/DBA 0 2 0 0 4 104,000 12,000 2 4,000 4 2 4 8 Asst suburban public US US M.W. Doctorate National Have accepted
38 2 Phd/DBA 0 2 0 0 4 92000 10000 2 1000 5000 4 2 2 6 Asst urban public U.S. unspecified Masters National Have accepted
39 yes 3 Phd/DBA 0 3 0 0 4 82,000 8,200 2 3,000 6 1 0 4 Asst urban private United States US M.W. Bachelor National Have accepted
40 7 Phd/DBA 2 18 0 3 6 75000 8000 1000 3+3 2 2 5 assoc/not tenured unspecified public X us US N.E. unspecified National Have accepted
41 0 MBA/MS 1 5 0 0 7 85,000 4700 8100 4 2 0 3 Asst suburban mixed unspecified Canada unspecified Doctorate National Have accepted
42 yes 13 Phd/DBA 0 20 0 0 25 120,000 0 0 10000 10000 4 2 0 10 assoc/not tenured urban public X US US S. Doctorate National Have accepted
43 yes 1 Phd/DBA 0 1 0 0 0 91000 14000 5 2000 2500 8 2 0 4 Asst suburban public USA US S. Masters National Have accepted
* Top tier: Respondents were asked to provide the number of journal publications accepted (both in print and forthcoming) in journals in this list: (MISQ, CACM, ISR, Management Science, JMIS, Decision Sciences, IEEE Transactions, HBR) (these are journals appearing in the top 10 of over half of the scales shown in the Saunders compilation here on ISWorld, listed above in the order in which they appear in the Saunders list.

Data Problems and Fixes

The following anonymous entries were not added to the database for the reasons indicated.

The following entry indicates an education of "BS/BA" but teaching in an MBA program, the publication history, and salary seem to indicate an error. If a correction is submitted for this entry (use "A" as the entry number), I will include it in the list.
A 7 BS/BA 0 1 0 1 3 85000 6800 6 3 Asst suburban public X US N.E. Masters National won't accept

Recommendations

For analysis, the best approach is to use Ido Millet's (Penn State Erie) Excel Pivot Table analysis tool, available above. If you choose to copy to your own spreadsheet, beware that some of the entries need to be "cleaned" (such as 2/9 for summer support needs to be translated to a dollar amount). If you still want to capture these data yourself, just click and drag all of the cells, copy to the clipboard, then paste into a spreadsheet package. This works well with Excel 97 and above (with Internet Explorer 4.01 and above); but does not work well with Netscape 4* or when using Lotus1-2-3 version 97 (even when parsing columns). You can then analyze the data by sorting by fields of interest, removing rows, computing averages, etc. One very practical approach for department heads to argue for parity is to focus only on schools with teaching loads similar to yours.

*Note: Thanks are in order for Mary Brabston and Vance Cooney. Mary helped me learn about the incompatibility between Netscape and Excel for the procedure outlined above. Vance Cooney of Xavier offers a remedy: "Since I use Netscape exclusively, I saved it as a text file then opened the saved file in Word and did some global replaces to clean it up for import. Once in a database program like Access or FileMaker Pro its cake to select by rank and/or load etc. to slice and dice the data." Also thanks to Steven Morris for advice on capturing research requirements independent of teaching loads.

Limitations

The object of interest is offers, which most likely repeats a given individual. If this concerns you, sort by the "accepted" field before using the data, then concentrate on "Have accepted" in your analysis; these will be unique individuals.

Notes

  1. The "Identity revealed" field addresses questions of trust in the data; some deans will not use anonymous data as the basis for any salary decisions. Note that the identity is revealed only to me; please do not ask me to violate my pledge of confidentiality.
  2. Salary is Base Salary (exclusive of summer support) in US $
  3. Guaranteed Summer Support is stated in US $, for the period of time shown.
  4. The "research budget" indicates amounts of discretionary spending (including travel, technology, and optional secretarial services, but not including required items such as course software, basic telephone, and copying). If not specified separately, an amount was estimated for maximum travel and technology that would reasonably be supported without special requests (or appeals).
  5. Moving support in US $ also includes any signing bonuses.
  6. Course load is an annual teaching load, stated in semester-course equivalents, defined as number of 3-credit semester courses (roughly 3 hrs/week, 15 weeks) to be taught. Thus, a 3+3 (3 fall + 3 spring = 6-course) load would be entered as 6
  7. "Public or private" indicates whether a school is perceived to be substantially public, substantially private, or mixed.
  8. Unions often have large impacts on salary, and unionized business schools are often well below market (beyond their control).
  9. School attributes such as country and region can also affect salaries.
  10. The school's highest degree granted in business administration is listed.
  11. Accreditation is listed as national, such as AACSB, regional, such as Middle States, and local, such as state or county.
  12. Tenure requirements levels:
    (blank): No tenure system
    Level 0: No publications are required
    Level 1: Publications are required, but outlet quality does not matter
    Level 2: Some outlets are weighted more heavily than others
    Level 3: Outlets are weighted, but non-"A" outlets actually can count negatively