12 1 J. R. R. To l k i e n B i l b o B a g g i n s B i l b o B i l b o A b e r c r o m b i e & L i v i n g s t o n A b e r c r o m b i e & L i v i n g s t o n A & L Te l l u r i d e K a t m a n d u G e n a v a L i m a G u a t e m a l a Dar es Salaam A & L A & L MIS D S S 12.1 2 Peter Drucker
344 12.1.1 3 4 A & L mission statement A & L We b 12-1 12-1 We b 12.1.2 4 12-2 A & L 12-2 4
12 345 A & L A & L A & L A & L 4 12.1.3 Michael Porter 1 2-3 5 12-3 C D B e n c h m a r k A & L
346 A & L 1892 A & L A & L 50 A & L 7 0 A & L A & L 6 8 0 A & L T Q M T Q M A & L 7 A & L 1992 A & L A & L B e n c h m a r k A 1. 2. 3. 4. 5. 6. 7. 12.2
12 347 A & L 1 2-4 8 12-4 ( f a n s o u t ) 12.2.1 12-5
348 A & L A & L 20 % 12-5 A & L A & L A & L A & L 12-6 A&L
12 349 12-6 A & L 12.2.2 executive managers middle managers s u p e r v i s o r s 12-7 12-7 A & L A & L 5 ~ 10 A & L A & L A & L A & L A & 12.2.3 Herbert Simon( )
350 A & L A & L A & L A & L A & L 12.2.4 We b 12-8 Zack We b
12 351 1 2-8 12-9 12-9 Criterium Decision B 1. 2. 20 % 3. 4. 5. 6. 12.3 A & L
352 12.3.1 12-1 12-1 Document distribution P r e s e n t a t i o n s L A N s 9 A & L A & L 12.3.2 10 T P S 12-10 P O S
12 353 12-10 1. 4. 2. A & L A & L 5. m o d e m 6. 3. 7. 1 2-11 A&L
354 12.3.3 A & L 12-11 A & L M I S 12-12 MIS 12-12 M I S 12-13 A & L
12 355 12-13 M I S A & L M I S A & L T P S M I S A&L 12.3.4 11 D S S D S S D S S D S S D S S D S S D S S 12-14 A & L D S S A & L D S S A & L... D S S A & L D S S A & L 5 D S S 3
356 DSS 12-14 5 % 12.3.5 12 D S S D S D S S 12-15
12 357 12-15 12-16 Campbell Soup S h e l l S h e l l S h e l 12-16 85 % 98 % 13
358 C 1. 2. P O S 3. 4. 5. 6. 12.4 7. 8. J. R. R. To l k i e n F r o d o Bilbo Baggins To l k i e n 12-17 B a g g i n s L i n d a B u n g o 14 12-17 Baggins L i n d a B u n g o L i n d a B u n g o 12-17 L i n d a B u n g o
12 359 12-17 12.4.1 3 B e l l a d o n n a B i l b o B e l l a d o n n a B i l b o B i l b o B i b l o B e l l a d o n n a B a g g i n s B a l b o Balbo Baggins B i l b o B e r y l l a S h e l l B e l l a d o n n a P r o l o g B i l b o B i b l o B e l l a d o n n a B u n g o p a r e n tb i b l o B e l l a d o n n a B u n g o 12-18 12-18 B a g g i n s 12-19 12-19 B a g g i n s
360 12.4.2 I F... T H E N I F... T H E N I F T H E N I F I F... T H E N IF father- o f - p e r s o n 1 = f a t h e r- o f - p e r s o n 2 THEN person1 and person2=related I F... T H E N A N D O R N O T IF father- o f - p e r s o n 1 = f a t h e r- o f - p e r s o n 2 AND mother- o f - p e r s o n 1 = m o t h e r- o f - p e r s o n 2 AND person1=female AND person2=female THEN person1 and person2 = sisters A B A B A B s i b l i n g s P e r s o n A P e r s o n B P e r s o n A Person A P e r s o n A P e r s o n A P e r s o n P e r s o n A A p e r s o n P e r s o n A M o t h e r F a t h e r M o t h e r F a t h e r Person B p e r s o n P e r s o n B M o t h e r F a t h e r Person B Person A Person B M o t h e r F a t h e r Person A p e r s o n P e r s o n B M a P a Person A Person B i f - and 12-20 B a g g i n s 12-20
12 361 12.5 To l k i e n Bilbo Baggins S i m C i t y 15 C D accounting firm Coopers & Ly b r a n d C D 50000 C D C 1. C D - R O M w w w. c c i w. c o m / n p 3 J. R. R. To l k i e n ( h o b b i t ) To l k i e n We b G r e y
362 H a v e n s ( t o l k i e n. c r o. n e t ) w w w.geocities. c o m / A r e a 5 1 / Va u l t / 7 8 8 2 / t o l k i e n n a v. h t m l h o b b i t b i 0 1 2. Peter Drucker Peter Drucker w w w. c g s. e d u / d r u c k e r / p f d b i o. h t m l Digital Drucker w w w.dgsys.com/ ~tristan/technodrucker. h t m l D r u c k e r 3. w w w. e u r o. n e t / i n n o v a t i o n / M a n a g e m e n t _ B a s e / M a n t e c. D i c t i o n a r y. h t m l Management and Technology Dictionary / C D - R O M Yogesh Malhotra w w w. b r i n t. c o m O u t l o o k w w w. a c. c o m / o u t l o o k / o _ f r i n t r o _ 1. h t m l U p s i d e w w w. u p s i d e. c o m w e b. m i t. e d u / t e c h r e v i e w / w w w / t r. h t m l Technology Review from MIT 4. We b mission statements SOHO Guidebook w w w. t o o l k i t. c c h. c o m / Te x t / P 03 _ 4001. h t m Edward O.We l l e s w w w. i n c. c o m / i n c m a g a z i n e / a r c h i v e s / 0 5 9 6 0 6 9 1. h t m l 5. Michael Porter Harvard Business Review i i r 1. u w a t e r l o o. c a / M O T W 9 6 / r e a d i n g s 9 6 / P o r t e r 7 9. h t m lp o r t e r 1985 Roger Clarke w w w. a n u. e d u. a u / p e o p l e / R o g a r. C l a r k e / S O S / S t r a t l S T h 6. TQM We b w w w. a s q. o rg FA Q Wi l l i a m W. S c h e r k e n b a c h M e r c u r y 1991 1988 Malcolm Baldrige w w w. q u a l i t y. n i s t. g o v / l a w. h t m b e n c h m a r kamerican Productivity & Quality Center
12 363 w w w. a p q c. o rg / b 1 / B 1. H T M w w w. q u a l i t y. c o. u k / q u a l i t y / b e n c h a d v. h t m Peter Griff i n b e n c h m a r k i n g N A S A m i j u n o. l a r c. n a s a. g o v / d f c / k a i. h t m l K a i z e n 7. BPR B P R w w w. a b s. u c i. e d u / d e p t s / f a c i l / r e n o v a t e / b p i _ w h a t. h t m l w w w. b r i n t. c o m / p a p e r s / b p r. h t m B P R w w w. d t i c. d l a. m i l / c 3 i / b p r c d / 0 11 3. h t m 8. o rg a n i z a t i o n a l c h a r t w e b. m i e p. o rg / b u s _ p l a n / o rg a n _ c h a r t. h t m l Ethan Wi n n i n g T h e O rg Chart-Whither thou Goest w w w. a l l - b i z. c o m / o rg. h t m 9. B i l l s Corner w w w. b a n k i n g. c o m / a r t i c l e 1. h t m C o a s t a l z u l e. c e r c. w e s. a r m y. m i l / o a / o a _ d e s c r i p t i o n / F C S I w w w. d b c a m s. c o m / c a s e 1. h t m J o h n 7 10. Christopher Av r a m w w w. c t. m o n a s h. e d u / a u / ~ c a v r a m / p a p e r s / t p / t r 94-02 h. h t m l I B M C I C S ( w w w. h u r s l e y. i b m. c o m / c i c s ) 11. DSS Daniel Power p o w e r. c b a. u n i. e d u / i s w o r l d / d s s h i s t o r y. h t m l Clyde Holsapple Andrew Whinston DSS w w w. u k y.edu/ BusinessEconomics / d s s a k b a / p e r i o d c l. h t m l I B M D S S d i r e c t. b o u l d e r. i b m. c o m / b i / We b C a r e e r A g e n tcareeragent.computerworld.com w w w.mcs.anl.gov/home/otc/guide /CaseStudies/diet D i e t P r o b l e m H o m e b u y e r w w w. h o m e f a i r. c o m M i c r o s o f t w w w. e x p e d i a. c o m
364 12. C L I P S w w w. g h g c o r p. c o m / c l i p s / E x p e r t S y s t e m s. h t m l M u l t i L o g i c w w w. e x s y s. c o m / I n f o / w h a t i s i t. h t m l PC AI w w w. p r i m e n e t. c o m / p c a i Knowledge Box M u l t i L o g i c Shell EXSYS w w w. e x s y s. c o m / Wr e n / m e n u. h t m l Acquired Intelligence We b v v v. c o m / a i / d e m o s / w h a l e. h t m l v v v.com/ai/demos /gradorig.html 13. 50 Bernard Wi d r o w Introduction to Neural Networks ( w w w. o s. s t i r. a c. u k / ~ I s s / N N I n t r o / I n v S l i d e s. h t m l ) o u r w o r l d. c o m p u s e r v e. c o m / h o m e p a g e s / I t e c h n o l o g i e s / t u t o r i a l. h t m Neural Network Tu t o r i a l Pacific Northwest National Laboratory w w w. p n l. g o v S c i e n c e Neural Network 14. 1 2. 4 P r o l o g P r o l o g P r o l o g A m z i w w w. a m z i. c o m P r o l o g P r o l o g w w w. a m z i. c o m / p r o l o g. h t m P r o l o g w w w. a m z i. c o m / p r o f u n. h t m P r o l o g P r o l o P r o l o g C l o c k s i n M e l l i s h S p r i n g e r- Ve r l a g 1987 15. w w w. o rg m i n d. c o m / c h a o s / w h a t i s. s h t m l Chaos ThinkSite FA Q Joseph O C o n n o r w w w. r a d i x. n e t / ~ c r b n b l u / a s s o c / o c o n n o r / c h a p t 1. h t m William Green w w w. f a s t c o m p a n y. c o m / 01 / c h a o s. h t m l F o r b e s w w w. f o r b e s. c o m / f o r b e s / 97 / 0407 / 5907100 a. h t msanta Fe w w w. s a n t a f e. e d u / p r o j e c t s / s w a r m / e x a m p l e s / i n d e x. h t m l 1. 5 2. 12-2
12 365 1 2-2 3. 12-3 1 2-3 Wi c h i t a 4. 12-3 Michael Porter J e e p 31 / 2 TV 5. 6. 7. Shades S h a d e s 8. 9. 10. 11. 12. 13.
366 m a l e ( s a m ). m a l e ( c h a r l i e ). m a l e ( l i n u s ). m a l e ( p a t ). male (georg e ). f e m a l e ( l u c y ). f e m a l e ( l y n n ). f e m a l e ( a m a n d a ). f e m a l e ( g r e t c h e n ). p a r e n t s ( l i n u s, a m a n d a, s a m ). p a r e n t s ( l y n n, a m a n a d a, s a m ). p a r e n t s ( p a t, g r e t c h e n, g e o rg e ). b r o t h e r s ( X, Y ):- m a l e ( X ). p a r e n t s ( X, M o t h e r, F a t h e r ). m a l e ( Y ). p a r e n t s ( Y, M o t h e r, F a t h e r ). 14. 1. Michael Porter N e t s c a p e N I K E Black & Decker H a r l e y - D a v i d s o n M a t t e l I n t e l Royal Caribbean Cruise Line 2. 3. 4. 5.
12 367 6. 7. 10 D S S 8. 12. 4