Accelerating adaptive processes product innovation in the global computer industry
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2011 Fall Seminar on Technological Innovation . Accelerating Adaptive Processes: Product Innovation in the Global Computer Industry . Kathleen M. Eisenhardt and Behnam N. Tabrizi Administrative Science Quarterly, 40 (1995): 84-110 . 2011 . 11. 30 박사과정 4 학기 송경희 박사과정 1 학기 한상연 .

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Accelerating adaptive processes product innovation in the global computer industry

2011 Fall Seminar on Technological Innovation

Accelerating Adaptive Processes: Product Innovation in the GlobalComputer Industry

Kathleen M. Eisenhardt and Behnam N. TabriziAdministrative Science Quarterly, 40 (1995): 84-110

2011. 11. 30

박사과정 4학기 송경희

박사과정 1학기 한상연


Introduction

Uncertainty

Ⅰ. Introduction

  • “2011년 내년 경제 최대 걸림돌은 대외 불확실성”

  • (조선일보, ‘11. 1.15)

  • 윤증현 장관 “세계경제 불확실성 더욱 증가”

  • (연합뉴스, ‘11. 3.29)

  • “우리경제의 시급한 과제는 불확실성의 제거”

  • (동아일보, ’01.2.1)


Accelerating adaptive processes product innovation in the global computer industry

Ⅱ. Summary(1)

  • Compression Model Vs. Experintial Model


Accelerating adaptive processes product innovation in the global computer industry

Ⅱ. Summary(2)

  • Empirical Results(1)

Compressing Model

Experiential

Model

Opposite

Opposite

Opposite

N.S

Confirm

N.S

Confirm

Confirm

Confirm

Confirm


Accelerating adaptive processes product innovation in the global computer industry

Ⅱ. Summary(2)

  • Empirical Results(2) - Split Sample analysis

Compressing Model

Experiential Model

Opposite

N.S

N.S

Confirm

Confirm

N.S

Confirm

Confirm

Confirm

Confirm


Discussion 1

  • The authors suggested computer industries as an example of fast moving industry while mentioningautomobiles and heavy industrial equipmentsas examples of predictable and mature product development. But in fact, many industries are in the fast moving and competitive environment.

Ⅲ. Discussion(1)

  • What industry or products can we think of more as an example

  • we can apply experimental model for faster product development?

  • This paper provides firms with strategies for faster product development. The results implicate that fast product development is more likely to emerge as uncertain than predictable, more experimental than planned, and more iterative than linear.

  • In applying these results to the real industrial world,

  • what are difficult things?


Discussion 2

  • In this paper, “Adaptation” might mean that firms adapt to environmental change somewhat passively.

  • Can we make consideration the firms that penetrate to market and

  • take innovation new to firms or market or world?

  • It may be able to related to variables which used in empirical study.

Ⅲ. Discussion(2)

  • Dependent Variables : NPD can subdivide to new to firm/industry/world

  • Independent Variables : degree of skill, communication within organization

  • In split sample analysis, was the division of certain and uncertain based on insufficient evidence(Business Week)?

  • Information Myopia/ Degree of Uncertainty

  • e.g. ) Relative comparison of each groups’ NPD Cycle


Accelerating adaptive processes product innovation in the global computer industry

Thank You!


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