| A | B | C | D | E | F | G | H | I | J | K | L | M N | O
| P | Q | R | S
| T | U | V | W
| X | Z
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 top
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 top
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 top
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 top
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 top
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 top
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 top
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 top 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 top 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 top
K Karlstrom, K., 227 Ketchledge, R., 110 Key
Process Area (KPA), 187ff., 192 Kidder, T., 228, 236 top
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 top
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 top
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 top
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 top
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 top
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 top
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 top
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 top
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 top
U Uniformity, corporation's
need for, 96-97, 99, 156 Uninterrupted hours, 63-67, 72-75 top
V Voice-mail system,
xii, 73 top 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 top X
Xerox Corp., 153 top
Z Zawacki, R., 234
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