Academic
Year 2009-2010
|
# |
Identity |
Years |
Educ. |
Top Tier* |
Other |
Textooks |
Research
Books |
Other |
Salary |
Summer |
Years of |
Research |
Moving |
Course |
Tenure Req |
Number |
Number |
Position |
Campus |
Public |
Union? |
Country |
Region |
School's |
School's |
Accepted? |
1 |
yes |
8 |
Phd/DBA |
4 |
1 |
14 |
15000 |
0 |
0 |
8 |
1 |
0 |
1 |
instructor |
suburban |
private |
Turkey |
unspecified |
Bachelor |
Regional |
Have
accepted |
|||||
2 |
yes |
5 |
Phd/DBA |
0 |
4 |
0 |
1 |
10 |
105000 |
20000 |
3 |
6000 |
5000 |
4 |
2 |
2 |
5 |
Asst |
urban |
private |
X |
U.S. |
US
W. |
Masters |
National |
Have
accepted |
3 |
.5 |
Phd/DBA |
0 |
2 |
0 |
0 |
6 |
95000 |
0 |
0 |
2000 |
2000 |
6 |
2 |
0 |
7 |
Asst |
suburban |
public |
United
States |
US
S. |
Doctorate |
National |
Have
accepted |
||
4 |
yes |
2 |
Phd/DBA |
1 |
1 |
1 |
20 |
110000 |
20000 |
2 |
3000 |
5000 |
3 |
2 |
4 |
10 |
Asst |
urban |
mixed |
X |
USA |
US
N.E. |
Masters |
National |
Have
accepted |
|
5 |
2 |
Phd/DBA |
1 |
2 |
1 |
0 |
0 |
93000 |
5000 |
4 |
3000 |
6 |
1 |
Asst |
urban |
unspecified |
unspecified |
USA |
unspecified |
Masters |
National |
Have
accepted |
||||
6 |
yes |
1 |
Phd/DBA |
2 |
0 |
0 |
0 |
3 |
91500 |
2500 |
1 |
4000 |
2000 |
6 |
2 |
0 |
4 |
Asst |
suburban |
private |
usa |
US
N.E. |
Masters |
unspecified |
Have
accepted |
|
7 |
yes |
2 |
Phd/DBA |
0 |
2 |
0 |
0 |
4 |
85000 |
0 |
6000 |
4000 |
6 |
1 |
0 |
5 |
Asst |
rural |
private |
US |
US
M.W. |
Bachelor |
Regional |
Have
accepted |
||
8 |
yes |
8 |
Phd/DBA |
0 |
14 |
0 |
1 |
3 |
100,000 |
5,000 |
3,500 |
12 |
1 |
0 |
0 |
switched
Asst |
urban |
public |
USA |
US
S. |
Masters |
National |
Have
accepted |
|||
9 |
2 |
Phd/DBA |
2 |
0 |
0 |
0 |
4 |
126000 |
0 |
5000 |
10000 |
4 |
2 |
20 |
80 |
Asst |
suburban |
private |
U.S.A. |
US
W. |
Masters |
National |
Have
accepted |
|||
10 |
3 |
Phd/DBA |
0 |
5 |
11 |
95000 |
0 |
3000 |
3000 |
6 |
2 |
0 |
5 |
Asst |
urban |
public |
unspecified |
Masters |
National |
Have
accepted |
||||||
11 |
1 |
Phd/DBA |
1 |
1 |
0 |
0 |
3 |
95000 |
0 |
0 |
0 |
1000 |
6 |
2 |
0 |
5 |
Asst |
urban |
mixed |
USA |
US
S. |
Bachelor |
National |
Have
accepted |
||
12 |
1 |
Phd/DBA |
1 |
1 |
97500 |
10000 |
8 |
unspecified |
instructor |
suburban |
private |
US
N.E. |
Masters |
National |
might
accept |
|||||||||||
13 |
1 |
Phd/DBA |
0 |
1 |
0 |
0 |
1 |
80000 |
0 |
0 |
8 |
1 |
0 |
2 |
Asst |
suburban |
private |
USA |
US
M.W. |
Masters |
Regional |
might
accept |
||||
14 |
7 |
Phd/DBA |
1 |
3 |
85000 |
4 |
1 |
0 |
6 |
Asst |
urban |
public |
US
S. |
Bachelor |
Regional |
Have
accepted |
||||||||||
15 |
yes |
1 |
Phd/DBA |
0 |
1 |
84000 |
0 |
3000 |
0 |
10 |
0 |
0 |
0 |
Asst |
urban |
private |
USA |
US
M.W. |
Masters |
National |
Have
accepted |
|||||
16 |
8 |
Phd/DBA |
1 |
5 |
0 |
0 |
6 |
120000 |
0 |
0 |
2000 |
4 |
2 |
1 |
6 |
switched
Asst |
suburban |
public |
X |
USA |
US
S. |
Masters |
National |
Have
accepted |
||
17 |
2 |
Phd/DBA |
1 |
4 |
11 |
87,000 |
0 |
2,000 |
1,000 |
6 |
1 |
0 |
3 |
Asst |
rural |
public |
USA |
US
M.W. |
Bachelor |
Regional |
Have
accepted |
|||||
18 |
5 |
Phd/DBA |
1 |
3 |
80000 |
0 |
3000 |
1500 |
8 |
1 |
5 |
switched
Asst |
urban |
public |
USA |
US
N.E. |
Doctorate |
National |
Have
accepted |
|||||||
19 |
yes |
0 |
Phd/DBA |
0 |
2 |
0 |
0 |
6 |
95000 |
0 |
0 |
2000 |
2000 |
4/6 |
2 |
0 |
8 |
Asst |
urban |
public |
USA |
US
S. |
Doctorate |
National |
Have
accepted |
|
20 |
5 |
Phd/DBA |
0 |
8 |
30 |
60,000 |
3,000 |
4 |
2 |
0 |
3-4 |
associate/tenure |
urban |
public |
X |
New
Zealand |
unspecified |
Doctorate |
National |
Have
accepted |
||||||
21 |
9 |
Phd/DBA |
0 |
0 |
0 |
0 |
10 |
88000 |
0 |
0 |
2000 |
1000 |
6 |
1 |
0 |
5 |
switched
Asst |
rural |
public |
USA |
US
W. |
Doctorate |
Regional |
Have
accepted |
||
22 |
2 |
Phd/DBA |
1 |
5 |
90000 |
0 |
3 |
2000 |
8000 |
4 |
2 |
3 |
8 |
Asst |
urban |
private |
USA |
US
N.E. |
Doctorate |
National |
won't
accept |
|||||
23 |
0 |
Phd/DBA |
1 |
1 |
4 |
72000 |
5 |
1 |
Asst |
rural |
public |
X |
Canada |
unspecified |
Bachelor |
unspecified |
Have
accepted |
|||||||||
24 |
yes |
3 |
Phd/DBA |
2 |
1 |
0 |
0 |
8 |
106,000.00 |
11,660.00 |
2 |
2500.00 |
10,000.00 |
5 |
2 |
2 |
7 |
switched
Asst |
suburban |
public |
USA |
US
N.E. |
Masters |
National |
Have
accepted |
|
25 |
10 |
Phd/DBA |
0 |
14 |
0 |
6 |
47 |
135000 |
0 |
0 |
4000 |
0 |
7 |
unspecified |
assoc/not
tenured |
urban |
mixed |
USA |
US
N.E. |
Doctorate |
National |
Have
accepted |
||||
26 |
10 |
Phd/DBA |
0 |
14 |
0 |
6 |
47 |
65000 |
0 |
0 |
1500 |
0 |
6 |
1 |
full/chair |
urban |
public |
X |
Fiji |
unspecified |
Masters |
none |
won't
accept |
|||
27 | yes | 2 | Phd/DBA | 0 | 1 | 0 | 0 | 6 | 59432 | 0 | 1000 | 15700 | 3 | unspecified | Asst | urban | public | X | New Zealand | unspecified | Doctorate | Regional | Have accepted | |||
28 | yes | 1 | Phd/DBA | 0 | 0 | 0 | 0 | 3 | 62112 | 0 | 0 | 0 | 0 | 8 | unspecified | 0 | Asst | rural | public | X | USA | US N.E. | Bachelor | 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. Appendix: Data
Issues
The following entries were not added to the database for the reasons indicated. NONE
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. Finally, thanks to Shu Schiller for suggesting that numeric fields should be aligned right. 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
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