chung-cheng lee department of business administration, chaoyang university of technology

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Adoption Timing of Technology Innovative Adoption Timing of Technology Innovative Investment Project Investment Project in Economic Rents Perspective in Economic Rents Perspective The New-Generation TFT-LCD Panel Makers The New-Generation TFT-LCD Panel Makers Cases Cases Chung-Cheng Lee Chung-Cheng Lee Department of Business Administration, Department of Business Administration, Chaoyang University of Technology Chaoyang University of Technology May 8 May 8 th th , 2009 , 2009 The Previous Version Had Been Presented at ACME 2008 Annual The Previous Version Had Been Presented at ACME 2008 Annual Meeting, Toronto, Canada, July 25 Meeting, Toronto, Canada, July 25 th th , 2008 , 2008

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Adoption Timing of Technology Innovative Investment Project in Economic Rents Perspective ─ The New-Generation TFT-LCD Panel Makers Cases. Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology May 8 th , 2009 - PowerPoint PPT Presentation

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Page 1: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

Adoption Timing of Technology Innovative Adoption Timing of Technology Innovative

Investment Project Investment Project

in Economic Rents Perspective in Economic Rents Perspective ──

The New-Generation TFT-LCD Panel Makers CasesThe New-Generation TFT-LCD Panel Makers Cases

Chung-Cheng LeeChung-Cheng Lee

Department of Business Administration,Department of Business Administration,Chaoyang University of TechnologyChaoyang University of Technology

May 8May 8thth, 2009, 2009

The Previous Version Had Been Presented at ACME 2008 Annual Meeting, Toronto, The Previous Version Had Been Presented at ACME 2008 Annual Meeting, Toronto, Canada, July 25Canada, July 25thth, 2008, 2008

Page 2: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 22

OutlinesOutlines

• Introduction

• Analytical Tool: Economic Rents

• Using Real Option Approach for Investment Timing Strategy

• Numerical Examples

• Conclusions

Page 3: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 33

Introduction Introduction (1)(1)

• In today’s hyper-competitive marketplace, many products like those that memory chipsmemory chips and TFT-LCD TVsTFT-LCD TVs are characterized by short life cyclesshort life cycles andrapidly-declining sales pricesrapidly-declining sales prices.

Page 4: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 44

Introduction Introduction (2)(2)

• An effective strategic management for the

technology innovative technology innovative investment projects

involves various decisions such as

which new technologywhich new technology to be adoptedto be adopted and

when to implement. when to implement.

Page 5: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 55

Analytical Tool : Economic RentAnalytical Tool : Economic Rent

Innovative Rents are understood here in their Schumpeterian sense of being reward for the first commercialization of an invention

Under rivalry, Rents would exist if the firm has a competitive advantage in realizing the project

Page 6: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 66

Introduction Introduction (3)(3)

• Economic rentsEconomic rents occur only if

comparative competitive advantagecomparative competitive advantage exists.

• A hi-tech firm can capture the economic rentseconomic rents

(the above-normal returnthe above-normal return) if the position with

strategic benefit of technology innovative

activities has been implemented.

Page 7: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 77

Introduction Introduction (4)(4)

• There is a decided preference for the

maximization of product revenues maximization of product revenues under

the innovative technology adoption timingthe innovative technology adoption timing

as an important objectiveas an important objective.

Page 8: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 88

Investment Timing Problem Investment Timing Problem (1)(1)

Deciding on the appropriate investment timing is a critical issue which raises the substantial questions coming from:

• the intrinsic uncertainty surrounding each new technology

• the inherently intangible nature of many of expected benefits

Page 9: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 99

Investment Timing Problem Investment Timing Problem (2)(2)

• the current and future availability of technical and economic information about new technology

• the need to develop new competences and skills

• the role played by learning process

• the partial or complete irreversibility of innovative investment

Page 10: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1010

Real Option - Real Option - Uncertainty Embedded ValuesUncertainty Embedded Values

Real Option View

Traditional View

Inve

stm

ent o

ppor

tuni

ty v

alue

Uncertainty

Mnagerial Options Increase Values

Page 11: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1111

Real Option - Real Option - expected project value might evolve over timeexpected project value might evolve over time

Pos

sibl

e Fu

ture

Val

ues

Time Horizon

Range of Possible Future Values

Now Future

Page 12: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1212

Using Real Option Approach for Using Real Option Approach for Investment Timing StrategyInvestment Timing Strategy

• The Investment Timing Investment Timing of

Technology Innovation Project

is Analogous tois Analogous to

the TimingTiming of Exercising of An

American Call Option on a Dividend Paying Stock

Page 13: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1313

Analytical Tool : Economic RentAnalytical Tool : Economic Rent

T h e e x p e c t e d n e t o p e r a t i n g c a s h i n f l o w e s t i m a t i o n i s a st h e o p p o r t u n i t y c o s t o f c a p i t a l p l u s t h e e c o n o m i c r e n t :( S m i t a n d A n k u m , 1 9 9 3 )

C F I k E Rt t ( 1 )

C F t = t h e e x p e c t e d n e t o p e r a t i n g c a s h f l o w

I = t h e i n v e s t m e n t c a s h o u t f l o w

k = t h e o p p o r t u n i t y c o s t o f c a p i t a l

E R t = t h e e x p e c t e d e c o n o m i c r e n t

Page 14: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

Considering the yearly change rate of economic rent is x which is expected to decline exponentially. The expected economic rent of the innovation project:

txt eERER 0 ,3,2,1t (2)

txt eERkICF 0 ,3,2,1t (3)

ER0 = the initial value of the economic rent x = the yearly change rate of economic rent

Let the innovation project value will be (V0):

1

0

10 )1()1( t

t

tx

tt

t

k

eERkI

k

ERkIV ,3,2,1t (4)

Page 15: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

We begin by assuming that the project follows a

multiplicative binomial process over discrete periods.

We consider the option to defer investment in

technology innovation project analogous to a

call option with a changing dividend payout ratio:δ t,s

t st s

t s

CF

V ss d or u,

,

,

, 1

(5)

CF I kk

e V s k It sx

t s, ,(( )

)( ( ) )

1

1

111 (6)

Page 16: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1616

The investment Timing Decision Tree for The investment Timing Decision Tree for Technology Innovation ProjectTechnology Innovation Project

V V uu u u4 3 41 1 11 ( )*

V V uu u u3 2 31 1 11 ( )* C Max V Iu u4 41 1

0 [ , ]

C Max abandon V I investu u3 31 10 [ ,( ); ,( );

( ) / r, (p C p C deferu d 4 41 11( ) )] V V dd u d4 3 41 1 1

1 ( )*

V V uu u u2 1 21 11 ( )* C Max V Id d4 41 1

0 [ , ]

C Max abandon V I investu u2 21 10 [ ,( ); ,( );

V V uu u1 0 11 ( )* ( ) / r, (p C p C deferu d 3 31 11( ) )] V V uu d u4 3 42 1 2

1 ( )*

C Max abandon V I investu u1 10 [ ,( ); ( ); , V V dd d d3 2 31 1 11 ( )* C Max V Iu u4 42 2

0 [ , ]

( ) / r, ( p C p C deferu d 2 21 11( ) ) ] V V dd u d2 1 21 1

1 ( )* C Max abandon V I investd d3 31 10 [ ,( ); , ( );

V0 C Max abandon V I investd d2 21 1

0 [ ,( ); ,( ); ( ) / r, (p C p C deferu d 4 42 21( ) )] V V dd d d4 3 42 1 2

1 ( )*

C Max (abandon)0 0 [ , ; ( ) / r, (p C p C deferu d 3 32 21( ) )] : C Max V Id d4 42 2

0 [ , ]

V I invest0 , ); ( : : : ( ( ) )/ ( )p C p C r deferu d 1 11 , ] : : :

V V dd d1 0 11 ( )* : : :

C Max abandon V I investd d1 10 [ ,( ); ,( ); : : :

( ) / r, ( p C p C deferu d 2 22 21( ) ) ] V V dd d u2 1 22 2

1 ( )* : :

C Max abandon V I investd d2 22 20 [ ( ), ( ), : :

( ) / r ( p C p C deferu d 3 34 41( ) ) ] : V V uu d u4 3 48 4 8

1 ( )*

V V dd d d3 2 34 2 41 ( )* C Max V Iu u4 48 8

0 [ , ]

C Max abandon V I investd d3 34 40 [ ( ), ( ),

( ) / r ( p C p C deferu d 4 48 81( ) ) ] V V dd d d4 3 48 4 8

1 ( )*

C Max V Id d4 48 80 [ , ]

Figure 1. The investment Timing Decision Tree for Technology Innovation Project

Page 17: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1717

Numerical ExampleNumerical Example

• A global top-five TFT-LCD panel company in Taiwan, has planned to invest the eighth-generation (8G)eighth-generation (8G) production lines to upgrade the technology positionupgrade the technology position.

• Together with the current 7G, the start of what is considered to be the world’s most advanced (8G) line will enable to expand production of large screen LCD panels for 50 inch class LCD

TVs

Page 18: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1818

Numerical Example Numerical Example (2)(2)• The first 8G production line investment project in

Taiwan was announced in the beginning of 2006; however, there was no 8G production line has been constructed in the end of 2007.

• Considering the mainstream sizes of LCD TVs in the global market, which keep getting bigger even as LCD TV prices continue going down.

• These imply that the amount of revenue generated These imply that the amount of revenue generated may be decreasing because of completing a product may be decreasing because of completing a product as its adoption timing is delayed as its adoption timing is delayed

Page 19: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 1919

Numerical Example Numerical Example (3)(3)

The Estimated Cash Flows of the 8G TFT-LCD Panel Production Line Investment Project (Unit: Million US$ (Unit: Million US$ Dollars)Dollars)

Time 00 11 22 33 44 55 66 77 88 99 1010 1111 1212

I*k 205205 205205 205205 205205 205205 205205 205205 205205 205205 205205 205205 205205

ERt 315315 241241 185185 142142 187187 8383 6464 4949 3737 29 29 22 22 1717

CFt -2,400-2,400 520520 446446 390390 347347 313313 288288 269269 254254 242242 234234 227227 222222

NPV: 68.1813 ( k : WACC=8.5341%)

IRR: 9.2544% ( ) ,,3,21 , 315117735 2663.00 ,teeERER ttx

t

Page 20: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 2020

The investment Timing Decision Tree for The investment Timing Decision Tree for Technology Innovation Project with Technology Innovation Project with σσ=0.2=0.2

V2u1=2,988,196,939.17C2u1=588,196,939.17

“Invest”

V2d1=2,058,014,480.40C2d1=50,637,719.97

“Defer”

V2u2=2,251,725,644.21C2u2=104,928,162.7

“Defer”

V2d2=1,564,343,008.05C2d2=0

“Abandon”

V1u1=2,694,338,132,36C1u1=321,091,508.78

“Defer”

V1d1=1,911,051,573.42C1d1=53,046,035.05

“Defer”

V0=2,473,999,955.09C0=187,074,175.64

“Defer”

Page 21: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 2121

The investment Timing Decision Tree for The investment Timing Decision Tree for Technology Innovation Project with Technology Innovation Project with σσ=0.4=0.4

V2u1=4,216,973,372.35C2u1=1,816,973,372.35

“Invest”

V2d1=1,986,619,373.66C2d1=220,632,044.26

“Defer”

V2u2=2,381,816,010.45C2u2=344,399,918.46

“Defer”

V2d2=1,162,030,017.25C2d2=0

“Abandon”

V1u1=3,166,643,415.27C1u1=890,732,389.08

“Defer”

V1d1=1,731,844,938.37C1d1=145,866,142.97

“Defer”

V0=2,473,999,955.09C0=457,317,625.52

“Defer”

Page 22: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 2222

Conclusions Conclusions (1)(1)

• With the advantage of option pricing approach, decision maker can evaluate the project value and decide the optimal investment timing base on different degree of uncertainty analysis.

• The results not only extend the advantage of keeping the future uncertain information simple but also provide the decision maker references to make decision under different level of uncertainty.

Page 23: Chung-Cheng Lee Department of Business Administration, Chaoyang University of Technology

ACME Annual Meeting, July 25, 2008ACME Annual Meeting, July 25, 2008 2323

Conclusions Conclusions (2)(2)

• If the hi-tech firm is confident inis confident in its own management ability as well as future technology development process of the project,this firm will be more talent to take higher uncertainty.