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A | B | C | D | E | F | G | H | I | J | K | L | M
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A
Albrecht, A., 229, 233
Alexander, C., 81-91, 228, 230, 233
meta-plan, 83
organic order theory, 82-84
Amazon.com example, 211
Ambrose example, 215-16
Aptitude tests, 102-3
Aristotle, 223
Atlantic Systems Guild, 89, 194, 248
Auditions, 103-4, 148
Augustine, N., 229, 233
Automated software development, 33
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B
Bailey, J., 229, 234
Bartol, K., 230, 234
Basili, V., 229, 234
Bell, A., 69-70
Bell Laboratories, 67, 110
Black Team, 129-31, 136
Boehm, B., 26, 228, 229, 234
CoCoMo productivity metric, 26
Bonham, B., 170
Brady, J., 229, 234
Brainstorming, 11-12, 164-65, 231
Branton, R., 169
Bridges, W., 198, 232, 234
Brill, M., 229, 230, 234
Brunner, J., 52, 229, 234
Bureaucracy, 15ff., 135
Bureau of Labor Statistics, 112
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C
Cadre Technologies, 151
Capability Maturity Model (CMM), 187, 188, 189ff.
Key Process Area (KPA) of, 187ff., 192
Change, 194-201
agents of, 194-95
continuum, 196-98, 231
failure and, 201
Machiavelli's ideas on, 195
middle management and, 212-14
modes of, 198-200
organizational learning and, 210
redesign example and, 211
resistance to, 196
responses to, 194, 196-98
Satir model of, 199-200
security in, 200-201
stages of, 198-200
uncertainty in, 195-96
Chaos, 199-200
Cincinnati Gas & Electric, 127
Clique, 127-28, 138-39
Closure, 151-53
CMM: See Capability Maturity Model
Coaching, 182-83
by manager, 182
by team members, 182-83
Codd and Date Consulting Group, 34
Coding War Games, 44-50, 72, 162-64, 228, 229
effects of workplace and, 48-50, 54-56
sample time sheet, 64
Community, 222-26
Aristotelian politics and, 223-24
example of, 225-26
Competition within teams, 181-85, 213
Constantine, L., 147
Cornell University research, 78, 230, 231
Corporate culture:
Coding War Games and, 48
E-Factor and, 67
effect on productivity, 48
effect of relocation on, 108-10, 173-74
entropy, 99
goals and, 124-26, 135
healthy, 31, 144-45, 150-57
hiring and, 95-97
paging system and, 40, 75
of permanence, 111-12
posters and plaques, effect on, 177-79
teams and, 121
telephone and, 72ff.
turnover and, 105-12
Cottage industry, 167-68
Couger, J., 234
Creativity, 178
Crosby, P., 22, 228, 235
Cubicles, 40, 79, 86, 136
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D
Darth Vader example, 192
Data General, 17, 228
Deadlines, 11-12, 25, 29, 34, 232
phony, 137-38
resources and, 20
staffing and, 218-19
deBono, E., 133, 230, 231, 235
DeMarco, T., 198, 227, 228, 229, 232, 235, 248
anecdotes, 10-11, 13, 34, 43, 59, 67, 71-72,
110, 125, 137, 144-45, 167, 184, 188, 201, 215-16,
221, 222
DeMarco/Lister Effect, 56
Deming, W., 183-84, 231, 235
pride of workmanship and, 183-84
Deterministic system, 113-14
Digital Equipment Corp., 147
Dittrich, R., 53, 229, 235
Documentation, 116
Downsizing, 207-8
Dress code, 97-98, 157
DuPont, 118, 127
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E
E-Factor, 66-67, 171
EG&G, 112
E-mail system, 73-74
Environment, office:
characteristics of ideal, 81-91
costs of, 51-59
creative, 78
enclosed area, 75-80
factors correlated to performance, 49-50, 179
floor plans and, 39-40, 52, 56, 79, 86-87,
136
flow and, 63-68
productive, 146
windows in, 40, 87-88
Environmental Factor, 66-67, 171
ESS1 project relocation, 110
Estimating methods, 12
Jeffery-Lawrence data on, 26-28, 228, 236-37
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F
FedEx example, 211
Fellows, 168, 170
Floor plans, office, 39-40, 76
cubicles, 40, 86, 136
open plan, 52, 79
patterns of design, 84-90
people density and, 56
possible arrangements, 87
Flow, 63-68
telephone and, 69
Foreign element, 199
Forester, C., 95, 235
Fujitsu, 23, 161
Furniture layouts, 87
Furniture Police, xi, 37-41, 76, 136
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G
General Electric, 127, 144
Getaway ploy, 57, 145-47, 165-66
Gilb, T., 59, 229, 236
Gilbert, T., 229, 236
Gilb's Law, 59
Goleman, D., 229, 236
Gordon, W., 231, 236
Gurus, 168
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H
Hawthorne Effect, 119-20, 160, 230
Hewlett-Packard, 23, 111
High-tech illusion, 5-6, 32, 33, 119
Hiring, 95-97
aptitude tests for, 102-3
auditions and, 103-4, 148
interview for, 100-104
terminating and, 113
Hitachi Software, 23, 112
Hodges, P., 230, 236
Holgar Dansk, xi, 172-74, 231
Hornblower, H., 95, 96, 235
Human capital, 202-8, 210, 221, 224
Humphrey, W., 187, 188, 199
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I
IBM, 161
workplace study, 53-54, 62, 229
Interrupt-free time, 49, 63-67, 75
telephone and, 72ff.
Intrapreneurs, 168, 169
Inversion, 133, 165
Iterative design, 8
Iyengar, S., 227, 238
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J
Jaynes, J., 230, 236
Jeffery, R., 26-29, 228, 229, 236, 237
Job interview, 100-104
Job satisfaction, 60, 105-12, 151-56
Joel, B., 15-16, 228
Johnson, J., 196, 197, 231
Jones, C., 28, 135, 227, 228, 229, 230, 236
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K
Karlstrom, K., 227
Ketchledge, R., 110
Key Process Area (KPA), 187ff., 192
Kidder, T., 228, 236
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L
Laetrile, 30-34
Language, effect on productivity, 32-33, 47
Lawrence, M., 26-29, 228, 229, 236, 237
Leadership, 155, 178
posters, 178
Lister, T., 227, 228, 229, 235, 248
anecdotes, 9-10, 18, 30-31, 38-39, 57, 73-74,
98, 104, 134, 145-46, 189, 196, 201, 210
Loyalty, 178
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M
Machiavelli, N., 195, 231, 237
Maginot Line example, 209
Management, 178, 181-82, 183-84
See also Management sin; The Management Team;
Managers
Aristotelian politics and, 223-24
defensive, 133-35, 144
definition, 9, 34, 96
folklore, xiii, 42
learning and, 213-14
by objectives (MBO), 183-84
Seven Sirens of, 31-34
Spanish Theory, 14-18
style, 7-9
thermodynamic law of, 99
Management sin, 215-21
of fragmentation of time, 219-20
of overstaffing, 217-19
of status meetings, 215-17
Management Team, The, 212-13
Managers:
born versus made, 95-96
communication among, 212-14
community and, 222
competition, approach to, 181ff., 213
deadlines and, 138
disorder and, 159
experience and, 210
hysterical optimism of, 124
middle, 212-14
natural authority and, 148-49
open kimono, 143-49, 159
overtime and, 180
personnel hiring, 95-97
productivity and, 32
teamicide and, 213
teams and, 128ff., 181ff., 212-13
in white space, 213-14
Mao Tse-tung, 120
Matsubara, T., x, 22, 228, 238
Mazzucchelli, L., 151
MBO: See Management by objectives
McCue, G., 53-54, 62, 229, 237
McMenamin, S., ix, x, 168, 194
Meabon, N., 231
Measurement schemes:
of individual performance, 45-46, 61, 183
of productivity, 52-53, 58-61, 229
of workplace costs, 51-59
Medici family, 195
Meetings, 215-17
as ceremony, 216, 217
Menninger Business Institute, 196, 231
Meta-plan, for facility design, 83
Methodology, 8, 114-20, 135
Big-M, 186
Methods, standardized, 116, 118
convergence of, 118
survey, 196
MicroSage Computer Systems, 170
Mills, H., 48, 229, 237
Morrissey, J., 228, 237
Motivation, worker, xi, 28-29, 60, 117
posters and plaques for, 177-79
Mushet, M., 169
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N
Negroponte, N., 211, 232
New South Wales data, 26-29, 228
Noise, effect on productivity, 37, 40, 43, 49-57,
75-80, 91, 136
Cornell research on, 72, 230
people density and, 56-57
telephone, 49, 72
work modes and, 62-68
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O
Office environment: See Environment, office
Open office plan, 52, 79
Organic order, 82-84
Organizational learning, 209-14
employee turnover and, 209-11
experience and, 209-11
via management communication, 211-13
middle management and, 212-14
redesign example, 211
in white space, 213-14
Orr, K., 117, 152, 230, 231, 237
Overstaffing, 217-19
Overtime, 13-18, 42-43, 179-80, 231
negative impact of, 179-80
teamicide and, 179-80
time accounting and, 64-65
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P
Pacific Bell, 112
Page-Jones, M., ix-x
Paging system, 40, 75, 173
Paperwork, 116, 135
Parkinson, C., 228, 237
Parkinson's Law, 23, 24-29, 145, 171, 228
Parsons, H., 230, 237
Partitioned workspace, 40, 79, 86, 136
Patterns, for office design, 84-90
Peer review, 118
People Store, 9-10
Personnel, 205-7
See also Human capital
investment in, 204-8
retention of, 210
turnover, 205-8, 210-11, 224
Pilot project, 160-62
Politics, Aristotelian, 223-24
Popcorn standard, 98-99
Portfolio, 101-2
Prideful workmanship, 178
Privacy, effect on productivity, 40, 54-55, 75-80,
89-90
Process improvement programs, 186-93
Big-M methodologies, 186
history of, 186-87
staff turnover and, 224
Production environment, 7
Productivity:
See also Privacy, effect on productivity
definition of, 14, 17
estimating and, 26-29
factors, 31-34, 44-50, 229
fragmentation of time and, 219-20
improvement, 31-34
Japanese, 22
languages and, 32-33, 47
Lawrence-Jeffery studies, 26-29
Louise and Ralph example, 205-6
measurement of, 26-29, 45-50, 52-53, 58-61,
229
noise, effect on, 37, 40, 43, 49-57, 62-68,
72, 75-80, 91, 136, 230
overtime and, 13-18, 42-43
pilot project and, 160-62
programmer, 27-28
relocation and, 110
of software industry, 32
technology and, 3-6, 31-32
turnover and, 205-6
windows and, 40, 87-88
Product quality, 137, 151
defined, 17
Japanese, 22, 23
MTBF and, 21
resources and, 20
schedules and, 11-12, 17-23, 26-29, 34
self-esteem and, 19-20, 144-45
windowed office space and, 40
workspace quality and, 55-57
Professional, as code word, 98-99, 157
Profit-and-loss example, 202-3
Project:
catalyst, 10-11
development environment, 7-8
personnel, 9-10, 96, 148, 227
pilot, 160-62
politics, 4, 217-19
risk and, 189-90, 191ff.
schedules, 11-12, 17-18, 19-23, 25-29
sociology, 4, 8, 103
staffing plan, 217-19, 232
surveys, 3-4, 26-29, 44-50, 72, 162-64, 227
tournament, 163-64
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Q
Quality, 178
CMM and, 190
cult of, 151-52
motivation and, 178
of products, 19-20, 23, 137, 144-45, 178
of workspace, 37ff., 55-57
of work time, 42-43, 59, 64-68, 74, 136-37
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R
Reader's Digest, 111
Resistance-to-Change Continuum, 196-98, 231
Risk, 189-90, 191ff.
Robbins, T., 144, 230, 238
Robertson, J., x
Robertson, S., x, 214
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S
Sackman, H., 229, 238
Salary:
programmer performance and, 47
teamicide and, 183
workspace cost and, 51-52
Santa Teresa study, 53-54, 62, 229
Satir, V., 199-200, 232, 238
Satir change model, 199
Schedules, 11-12, 17-18
Self-esteem, and product quality, 19-20, 144-45
Ski trip example, 201
Skunkworks project, 147
Software backlog, 33
Software Engineering Institute (SEI), 186-87,
188, 190, 192
Soloway, E., 227, 238
Southern California Edison, 112
Southern Company Services, 161, 169
Spanish Theory of Management, 14-18
Staffing: See Personnel; Project staffing plan
Standardization:
of methods, 7, 116, 187-88
of products, 161, 187
Status quo, and change model, 198ff.
Survey of development projects, 3-4
Coding War Games, 44-50, 72, 162-64, 228
Lawrence-Jeffery data, 26-29
Swogger, E., 231
System, all-human, 113
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T
Tajima, D., 22, 228, 238
Team, 121ff., 179-80, 181-85, 213
Black, 129-31
catalyst, 11
as choir, 185
competition within, 181-85, 213
elite, 153-54
flexibility of, 179
formation, 26, 132-39, 150-56
goals and, 124-26
heterogeneity of, 156, 180
hiring, 103-4
interactions, 136-37, 183
jelled, 123-29, 132-35, 143ff., 149, 156, 179,
182, 213
member selection, 96, 148, 174
purpose, 126
quality and, 23, 144-45, 178
sociology, 8, 147-48
as sports metaphor for, 184-85
uniformity of, 156, 180
workspace, 89-90, 136
Teamicide, xi, 132-39, 177-80, 183-84, 213, 220
competition and, 183-184
overtime and, 179-80
performance measurement and, 183
time fragmentation and, 220
Technology, 32
Telephone, xii, 69ff., 173
effect on productivity, 49
ethic, 72ff.
interruption by, xii, 63-64
Termination, 113
Thomis, W., 67
Thomsett, R., 143, 230, 238
Time accounting, 64-65
Timeless Way of Building, 81-91
Time sheet, 64
Townsend, R., 109, 230, 238
Training, 108, 112, 118, 165
Turnover, worker, 105-12, 205-7, 210-11, 224
costs of, 105-8
promoting and, 107
teams and, 127
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U
Uniformity, corporation's need for, 96-97, 99,
156
Uninterrupted hours, 63-67, 72-75
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V
Voice-mail system, xii, 73
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W
Wall Street and staffing policies, 207-8
War games, 162-64
See also Coding War Games
Weinberg, J., 180, 231
Weinberg, S., 34
White space example, 213-14
Wiener, J., 144
Windowed office space, 39-40, 87-88, 228
Women on teams, 156
Workaholics, 16
Workers, as interchangeable parts, 7, 108
Workplace:
characteristics of ideal, 81-91
cleanliness, 38
community, 222-26
costs, 51-59
decor, 76-77
design, 37, 40, 75-80
indoor versus outdoor, 89
noise, 37, 43, 49-57, 62-68, 75-80, 91, 136
privacy, 37, 40, 54-55, 75-80, 89-90
quality and product quality, 55-61
Work to rule, 117
Work time, 42, 59
accounting system, 64-65
brain time, 62-68
quality, 42ff., 74, 136-37
time sheet example, 64
work modes, 62
Wu, S., 228, 237
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X
Xerox Corp., 153
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Z
Zawacki, R., 234
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