Luck & Uncertainty & Heuristics Flashcards

1
Q

courting luck

A

March 1991

managers can court luck by remaining flexible and open to opportunities

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2
Q

Icarus Paradox

A

businesses bring about their own downfall through success leading to over-confidence and complacency

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3
Q

ROR

A

Myers 1977
Real Options Reasoning is the right, but not the obligation to undertake certain business initiatives
- it forces decision makers to be explicit in assumptions underlying a project and postpone commitment until a considerable amount of uncertainly is resolved - it also allows for the project to be altered as the environment changes

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4
Q

ROR in R&D

A

Mitchell & Hamilton 1988

by treating R&D action as an option, the priority of earlier and more basic R&D is improved

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5
Q

example of ROR

A

Microsoft had a wait-and-see strategy for 3-D Xbox

they developed the technology and waited to let the 3d market further develop

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6
Q

Issues with ROR

A

Adner & Levinthal 2004
it is overly seductive and tempts managers to take on risky projects that might fail
managers need the discipline to know when to let go

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7
Q

example of issue with ROR

A

Procter and Gamble 2005
announced experiment in selling personalized women’s cosmetics, fragrances, and shampoos - it failed after 6 years and more than 60 million invested

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8
Q

Attention-based view

A

Barnett 2008

what decision-makers do depends on where they focus their attention

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9
Q

Harrison’s 4 arguments for the role of luck

A
  1. performance data is noisy
  2. unpredictable factors matter
  3. ability distribution is compressed
  4. Even sustained performance could be chance
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10
Q

luck & Data issues

A

Alchian 1950

unpredictable factors reduce the ability of data to signal effective management

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11
Q

difficult to distinguish between luck and skilled management

A

Denrell 2004
even if performance differs often there is no evidence that strategy differs (Denrell is against RBV and traditional strategists)

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12
Q

success can indicate low capabilites

A

Denrell & Fang 2010

individuals who make extreme predictions are likely to be reliant on intuition rather than information

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13
Q

uncertainty arrises from?

A
Kernei & Wenerfelt 1988
4 sources:
demand structure
supply structure
competitors
externalities
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14
Q

Heuristics

A

Tversky and Kahnemann 1973, 1974
people make decisions quickly but not rationally and rely on a number of heuristic principles which reduce the complex tasks to simpler judgement operations (intuition, profiling, common sense) and can lead to systematic errors

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15
Q

3 heuristic biases

A

Tversky & Kahnemann
Representativeness: find representative evidence without probabilities of the event occurring
Availability: assess probability of the event by how easily it is brought to mind
AnchoringL forecasting on outcomes anchored on overly optimistic hope for success

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16
Q

Managerial hubris - M&A

A

Hayward & Hambrick - more hubris more likely to undertake M&A activity

17
Q

Managerial hubris entrepreneurs

A

Cooper et al 1988 found entrepreneurs assigned a 59% chance of success but in findings by the US Bureau of Labor stats in 2011 only 4% of new small businesses made it to the second year

18
Q

nudge and choice architecture

A

Felin & Powell 2014
nudge and choice architecture (steer people in a direction but allow them to go their own way - like a reminder) in strategy can nudge organizations to increase variance in overall choice/possibility sets

19
Q

ex nudge and choice

A

valve corporation: rule of 3 - if people think a project is worthwhile they engage with it
individual biases are checked and social biases are partly checked by the lure of alternatives

20
Q

high performance - industry

A

McGahan & Porter 2002 - by failing to look at industry differences can’t accurately gauge differences in strategy leading to high profitability - pharma has notoriously high profits but also used in support of competitive advantage

21
Q

selection bias and reverse causality in high performance

A

Denrell 2005:
strong selection bias towards surviving companies
reverse causality: only looking at high performance companies for clues about high performance - also need to look at failures