a primer on and application of competitive dynamics walter ferrier, ph.d. gatton college of business...
TRANSCRIPT
A Primer on and Application of Competitive Dynamics
Walter Ferrier, Ph.D.Gatton College of Business & EconomicsUniversity of Kentucky
Presented at Helsinki School of EconomicsMarch 2008
Page 2
Coke’sStrategicActions
Pepsi’sStrategicActions
Rivalry
CompetitiveOutcomes
IndustryCharacteristics
OrganizationalCharacteristics
Page 3
Karjala
LapinKulta
LapinKulta
Observable … Relative … Dynamic
Page 4
Dethronement of the Shoe Leader
Market Share(U.S.)
1980 1990 20051980 1990 2005
Adidas
Nike
Reebok
Page 5
Dethronement of the Retailing Leader
Market ShareShare
1950 1960 1970 1980 1990 20001950 1960 1970 1980 1990 2000
Wal-MartSears
JC Penney
Page 6
Dethronement of the Aircraft Leader
Market Share
1950 1960 1970 1980 1990 20001950 1960 1970 1980 1990 2000
McDonnell-Douglass
Boeing
Airbus
Page 8
What is Competitive Dynamics?
•…a paradigm•…a theory•…a pre-theory•…a view•…a reasoning•…a lens•…a method
– Research design element– Observational mechanism– Measurement technique
Page 9
Integrated/Contributing Theories
•Info processing•Social networks•Managerial cognition•Multi-market competition•Prospect/Threat rigidity•First-mover•Institutional theory•Complexity•Communication•Knowledge•Signaling
•Resource-based view•Real option theory•Game theory•Strategic groups•Structure-conduct-perform.•Dynamic limit pricing•Austrian economics•Corporate entrepreneurship•Dominant firm/Oligopoly•Force field (from psychology)•Population ecology
Page 10
•What do they explain?– Competitive behavior?– …its antecedents, contexts?– …processes?
•Does competitive dynamics “enable” other theories explain, observe, conceptualize, measure:
– “behavior”– “competition”– “events”– “dynamic interactive processes”– “change”– other things?
Integrated/Contributing Theories
Page 11
•Actor relativity/interdependence•The firm relative to:
– Itself (over time)– Dyadic partners– Groups– Industry members– Other non-rivals
• On factors/dimensions such as:– Competitive actions– Resources/capabilities– Firm characteristics– Outcomes
A Pre-Theory of Competitive Inter-Action:
Some Boundary Conditions
Page 12
•Competitive “action” as fundamental element•“…a visible, externally-directed competitive move
carried out to improve a firm’s relative competitive position”
•Dynamic• Explicitly accounts for:
– Time– Change– Evolution– Contingencies– Processes
Pre-Theory of Competitive Inter-Action
Page 13
•Has impact/consequences on:•Performance
– Relative– Absolute
•Behavior of other firms•Supply chain members
– Customers– Suppliers
•Regulators•Investors•Society
Pre-Theory of Competitive Inter-Action
Page 14
•Other•Uncertainty, unknowability•Imperfect information•Thought, intent, purpose•Not costless
Pre-Theory of Competitive Inter-Action
Page 15
•Awareness•Alertness - attention•Vision•Scanning•Filtering
•Motivation•Intention•Valence•Emotion•Desire
•Capability•Organizational enablers/constraints•Contextual enablers/constraints
Theoretical Scaffolding/Fulcrum
Theoretical Integration Required:“Other theories” supportand explain logic when integrated with this AMC theoretical scaffolding – e.g.:• Behavioral theory of the firm• Institutional theory• Social network theory• RBV
Page 16
Awareness
Motivation
Cap
abili
ty
Firm 1Strategy
Firm 2Strategy
CompetitiveInter-Action
OrganizationalDrivers
Industry StructureDrivers
InstitutionalDrivers
Socio-Relational
Drivers
Other?
Performance
CognitiveDrivers
An Emerging Theory of Competitive Dynamics
Page 17
Levels of Analysis
Firm
Finnair
Page 18
Levels of Analysis
Firm Dyad
Finnair Finnair SAS
Page 19
Levels of Analysis
Firm Dyad Triad
Finnair
Blue 1
Finnair SAS Finnair SAS
Page 20
Levels of Analysis
Firm Dyad Triad
Network
Finnair
Lufthansa
Blue 1
US Airways
Virgin
Finnair SAS Finnair SAS
Finnair
KLM
Page 21
Levels of Analysis
Firm Dyad Triad
GroupNetwork
Finnair
Lufthansa
Blue 1
US Airways
Virgin
Finnair SAS Finnair SAS
Finnair
KLM
Lufthansa
Brussels
Air France
KLM
Blue 1
SAS
Ryanair
eos
Page 22
Levels of Analysis
Firm Dyad Triad
GroupNetwork Industry(or Population)
Finnair
Lufthansa
Blue 1
US Airways
Virgin
Finnair SAS Finnair SAS
Finnair
KLM
Lufthansa
Brussels
Air France
KLM
Blue 1
SAS
Ryanair
Finnair
Virgin
KLM
Lufthansa
US Airways
Ryanair
British Airways
Alitalia
eoseos
Page 23
Levels of Aggregation
NewProduct
Introduction
Individual Action(or response)
Page 24
Levels of Aggregation
AdCampaign
NewProduct
Introduction
PriceCut
Individual Action(or response)
Action-ResponseDyad
Page 25
Levels of Aggregation
AdCampaign
NewProduct
Introduction
PriceCut
Individual Action(or response)
Action-ResponseDyad
CompetitiveRepertoire
6 x Price
1 x Product
4 x Ads
2 x Signaling
1 x Law Suit
Page 26
Levels of Aggregation
AdCampaign
NewProduct
Introduction
PriceCut
Individual Action(or response)
Action-ResponseDyad
CompetitiveRepertoire
6 x Price
1 x Product
4 x Ads
2 x Signaling
1 x Law Suit
time
Ad
Product
Price
Ad
Ad Price
Competitive Attack
Signal LegalPrice
Coke
PepsiProduct
attack
counter attack
Page 27
Network Evolution, Competitive Actions and Performance
MktMkt Prod PriceMkt Mkt PriceProd Price
FocalFirm
A
B
C
DE
t1t2 t3
FocalFirm
A
B
CFocalFirm
A
B
Performance
time
Actions
Page 28
Network Evolution, Competitive Actions and Performance
MktMkt Prod PriceMkt Mkt PriceProd Price
FocalFirm
A
B
C
DE
t1 t2t3
FocalFirm
A
B
CFocalFirm
A
B
Performance
time
Actions
Page 29
Network Evolution, Competitive Actions and Performance
MktMkt Prod PriceMkt Mkt PriceProd Price
FocalFirm
A
B
C
DE
t1 t2 t3
FocalFirm
A
B
CFocalFirm
A
B
Performance
time
Actions
Page 30
Globalization, Competitive Action and Performance
MktMkt Prod PriceMkt Mkt PriceProd Price
FocalFirm
A
B
C
DE
t1 t2 t3
FocalFirm
A
B
CFocalFirm
A
B
Performance
time
Actions
Think of internationalization and globalization in this way
Page 31
What is the next “big thing”?
•Phenomena•Constructs•Measures•Levels of analysis or aggregation•Data•Unobservables•Analytical techniques•Theory
Page 32
Non-Organizational/Economic Theories•Physics
•Physical•Optical•Quantum mechanics
•Biology•Molecular/DNA•Virology
•Medicine•Neurology•Psychiatry•Kinesiology
•Music•Perception/appreciation•Composition theory
•Experimental aesthetics•Perception•Interpretation•Subjective judgment
Page 33
What is Competitive Dynamics?
• Coaching a basketball game• Training a hunting dog• Conversation/argument
between husband & wife
Phenomenon
A Z
K
time
• Rivalry: Airbus vs. Boeing• Negotiating a raise• Writing an operatic duet
Page 34
Competitive Dynamics:
Instrumentality, Application and Theory
An (any?) open-system process that:• Is interactive
– Contains multiple actors– Behavior and outcomes relative among actors
• Contains distinct, observable elements, events, or happenings
• Contains some perceptual and actual uncertainty or unknowability
• Requires some thought, intent, purposefulness on behalf of actors
• Is not costless
Page 35
Questions or Comments
The Fast and the Furious:
The Assignment of Stock Risk Based on Investor Perceptions of Competitive Maneuvering and Who’s in the Drivers’ Seat
Page 37
FocalFirm
Actions
Focal FirmPerformance
Rivals’Performance
Dynamic Competitive Interaction
InvestmentCommunity
Dynamic- Subjective Interpretation and Valuation of…
Stock Risk & Returns
Rivals’Actions
Traditional-Objective Valuation Process
TMT
Who’s making it happen?
What’s happening?
Page 38
FocalFirm
Actions
Focal FirmPerformance
Empirical Model
Rivals’Actions
TMTHeterogeneity
beta
Industry Characteristics
X
Page 39
Subjective Valuation of the Top Management TeamDemographic diversity among TMT members serves as a signal for:
– Cognitive/experiential breadth– Decision quality/comprehensiveness– Environmental scanning– Legitimacy/reputation
…and for:– Interpersonal conflict/dysfunction– Slow decision speed– Lack of agreement-seeking/consensus
Page 40
Subjective Valuation of Competitive Strategy
Interpretation and valuation related to perceptions of collative structure in the pattern of competitive behaviors:
– Simplicity… complexity
– Predictability… unpredictability
– Conformity … non-conforming
– Long duration … single blip
Page 41
Perceptions of Gestalts in Sensory Information
Gestalt psych.• Simplicity• Proximity• Similarity• Common direction
Exp. aesthetics• Simplicity• Familiarity• Predictability• Orderly• Stability
Comp. dynamics• Simplicity• Conformity• Predictability• Duration
Outcomes • Recognition of Gestalts or ‘wholes’
• Subjective judgment; hedonic value…”pleasingness”• Subjective judgment of strategy-performance relationship
Page 42
Pattern Recognition, Interpretive Certitude and Hedonic Value
“Sensory information”
organized into meaningful wholes…Gestalts
• Computer screen pixels• Paintbrush strokes• Musical notes• DNA nucleotides• Pitch sequence• etc.
Page 43
Hypotheses
Investors will assign higher levels of stock risk to firms with heterogenous TMTs that carry out competitive attacks that are perceived as being:
– Simple– Predictable– Conforming– Significant duration
Page 44
Sensory Information: Competitive Actions
• Pricing• Marketing• New Product• Service• Capacity• Overt Signals
c db ea
Page 45
Competitive Action Sequences
•Ordered sample of “things” ‘Orderliness’ among elements (alphabet)
– Logically unified sequence– Succession of market-based decisions– Patterns in stream of behaviors – Coordinated series of actions – Actions in a sequential strategic thrust
•COMPETITIVE ATTACK: An uninterrupted series/sequence of competitive actions
c db ea
Coke’sActions
Pepsi’sAction
Rivalry
CompetitiveOutcomes
IndustryCharacteristics
OrganizationalCharacteristics
da b ec da b ec
ActionPair 1
ActionPair 2
ActionPair 3
ActionPair 4
Coca-Cola
Pepsi
Action-Reaction Dyads
b b b a
ac c e
Prior Studies: Action “Repertoires”
time
Year-EndTallies
Coca-ColaCoca-Cola
PepsiPepsi
b bb
c
b
ba
c e
b
Page 55
a
b
c
d
e
ca bec a b de ca bd
Coke Pepsi
d
aa
b
e
c
e
b
a
d
b
c c
Observed Sequence Observed Sequence
Competitive Actions Over Time = Attack
Page 57
Total
a
b
c
d
e
ca b
d
aca a dc e aad
c c
a a
e
a
d
b
a a aa 7
1
1
2
2
Observed Sequence of Competitive Actions
Competitive Attack Simplicity
Page 58
Total
a
b
c
d
e
ea b
d
aca c de c bdd
e
c
d
a
c c
d
b b
a
e
a 3
2
2
3
3
Observed Sequence of Competitive Actions
Competitive Attack Complexity
Page 59
a
b
c
d
e
ca eeca bde ca bd
d
e
aa a
d
b
b
e
c cc
Focal Firm in time1 Focal Firm in time2
b
Observed Sequence Observed Sequence
Competitive Attack Predictability
Page 60
a
b
c
d
e
c ab eca bde ca bd
Focal Firm in time1
d
e
b
aa a
d
bb
e
c cc
Focal Firm in time2
Observed Sequence Observed Sequence
Competitive Attack Unpredictability
Page 61
a
b
c
d
e
ca beca b de cab d
Focal Firm
d
aa
b
e
c
e
b
a
d
b
c c
Observed Sequence Observed Sequence
Competitive Attack Conformity
Industry Norm
Page 62
a
b
c
d
e
ca bec a b de ca bd
Focal Firm Industry Norm
d
aa
b
e
c
e
b
a
d
b
c c
Observed Sequence Observed Sequence
Competitive Attack Non-Conformity
Page 63
a
b
c
d
e
ea b aca de cd
e
c
d
a
c
d
b
a
e
a
Observed Sequence of Competitive Actions
Competitive Attack [Long] Duration
timetime
Page 64
a
b
c
d
e
ac dc
c
a
c
d
Observed Sequence of Competitive Actions
Competitive Attack [Short] Duration
timetime
Page 69
Hypotheses
Investors will assign higher levels of stock risk to firms with heterogenous TMTs that carry out competitive attacks that are perceived as being:
– Simple– Predictable– Conforming– Significant duration
Page 70
Sample and Data Sources
All Fortune 500 Members who were:• Top two in market share (1987-1993)• Undiversified (i.e. single or dominant business)
– 35 different industries over 7 years– 490 firm-years
Competitive Actions• News, Press Releases from F&S Predicasts
TMT Demographics• Dun & Bradstreet
Industry and Firm Financial Data• Compustat
Page 71
Analysis
• Structural Equations Model– Five-indicator model for TMT Heterogeneity
–Median split -- Best SEM model fit for low TMT Heterogeneity condition
• Educational background• Functional background• Industry background
• Attendance at elite schools• Military experience
“Moderated-Effects” SEM Results:
Attack Characteristics in Low TMT Hetero Conditionbeta
StrongCollative
Properties
Duration
Predictability
Simplicity
WeakCollativeProperties
Conformity
“Moderated-Effects” SEM Results:
Attack Characteristics in Low TMT Hetero Conditionbeta
StrongCollative
Properties
Duration
Predictability
Simplicity
WeakCollativeProperties
Conformity Support
Opposite
Page 74
Conclusions
• Human capital (TMT) and behavioral capital (competitive maneuvering) are important components of risk assessment
• Collative properties of competitive strategy:
… increase interpretability and valuation of competitive strategy…
…but attenuated by perceptions of TMT processes and capabilities
• Simplicity• Predictability
• Conformity• Duration
• Cognitive breadth• Decision comprehensiveness
• Interpersonal conflict• Slow decision-making
Page 75
Questions or Comments
The Influence of Verbal Exchange among TMT Members on Decision Quality and Innovation
Page 77
Extant ResearchTMT
Members
Performance
GroupCohesion
GroupDysfunction
Agreement-seeking
Debate
ConstructiveConflict
DecisionComprehensive-
ness
StrategicConsensus
DecisionSpeed
StrategicChange
CompetitiveDynamics
Innovation
Page 78
TMTMembers
Performance
GroupCohesion
GroupDysfunction
Agreement-seeking
Debate
ConstructiveConflict
DecisionComprehensive-
ness
StrategicConsensus
DecisionSpeed Strategic
Change
CompetitiveDynamics
Innovation
ConversationAnalysis
Page 79
“The Decision Funnel”Inputs and Processes Presumed by TMT Demographic Proxies
DecisionOutcomesDecision
Process
RawDecision
Inputs
Field ofVision
Page 80
Tunnel Vision: Homogenous TMT – Industry Background
DecisionOutcomesDecision
Process
RawDecision
Inputs
Field ofVision
Page 81
Dysfunction: Interpersonal Conflict – Poor Social Cohesion
DecisionOutcomes
DecisionProcess
RawDecision
Inputs
Field ofVision
Page 82
Constructive Conflict:Cognitive/Experiential Breadth + DA/DI
DecisionOutcomesDecision
Process
RawDecision
Inputs
Field ofVision
Page 83
Decision Process in Real-Time
DecisionOutcomesDecision
Process
RawDecision
Inputs
Field ofVision
Page 84
Decision Process in Real-Time
Conversational, verbal statements uttered in group decision-making sessions
Page 85
Pilot Study
•MBA New Product Development Simulation
•Student Teams (3 for now) – 5-7 members each– Experiential & functional diversity
•Strategic, Multifunctional Task – Build “New Car”– 3 hours– Strategic position vs. other teams– Product features– Marketing– Assemble and test prototype
•Audio Transcript of Decision Session– Coded into different verbal statements
Page 86
Preliminary Categories of Verbal Statements•NEW - New Idea/Concept Statement
“Based on the marketing reports, I think we should offer a really big luggage compartment.”
•EXT - Idea/Concept Advocacy/Extension“Oh, yea. We can cut manufacturing costs even more by
outsourcing almost all our parts [production].”
•INQ - Idea/Concept Inquiry“What do you mean by customer-driven design?”
•CHAL - Idea/Concept Challenge“I just don’t get it. Why would customers care about dealer
margin?”
•DEF - Idea/Concept Defense“Well, if you think the other companies are going to do the same
thing, then we should stick with being different.”
Page 87
•ACQ - Idea/Concept Acquiescence“I guess. Maybe we can’t really get the car to do all that in a 5-
minute demonstration.”
•VAL - Idea/Challenge Validation Statement“I don’t know about you, but I think we should go ahead with a big
luggage rack.”
•TRAN - Transitional Statement“Can we talk about how to get this done before 3:00 p.m.?”
•AGR - Agreement-seeking Statement“Anybody else wanna go for this?”
Page 88
•REA – Task/Process Reassurance Statement“We’ll get the numbers when you need them.”“I think we’re on the right track.”
•CRIT – Task/Process Criticism/Doubt“There’s no way the audience will see these all little parts.”“If we can’t decide by 2:45, then let’s bag it.”
•HUM – Humor“How many MBAs does it take to build a Lego car?”
•SMALL - Task- or Process-related Small Talk“This is a pretty cool steering program.”“I can’t wait to see what the other guys have.”
Page 89
‘Alphabet’ of Verbal Statements
•NEW – New idea
•CHAL – Challenge of idea
•AGR – Agreement with idea
•SMALL – Small talk
•VAL – Validation of idea
•DEF – Defense of idea
•HUM - Humor
c db ea
Page 91
Total
a
b
c
d
e
ea b
d
aca c de c bdd
e
c
d
a
c c
d
b b
a
e
a 3
2
2
3
3
Observed Sequence of Verbal Statements
Conversation Complexity – Low Herfindahl Index
Page 93
a
b
c
d
e
c ab eca bde ca bd
Focal Team Decision Phase1
d
e
b
aa a
d
bb
e
c cc
Focal Team Decision Phase2
Observed Sequence Observed Sequence
Conversation Unpredictability – High Distance Scores
Page 95
a
b
c
d
e
ca bec a b de ca bd
Focal Team Industry Norm
d
aa
b
e
c
e
b
a
d
b
c c
Observed Sequence Observed Sequence
Conversation Non-Conformity – High Distance Scores
Page 97
a
b
c
d
e
ca b
d
eca b de c abd
e
c
b
a
c
b
d
b
a
e
c
a
Observed Sequence of Verbal Statements
Conversation Chunking – Low Separation Scores
Page 100
(+)1.0 -------------------------------------------------------------------------------------- (-)1.0
a
b
c
d
e
ca b
d
eca bde ca bd
e
c
b
a
Observed Sequence of Verbal Statements
Conversation Motif – High Variance of Precedence Scores
Page 101
Other Dimensions of Verbal Statements
•Task- vs. Interpersonal-directed
•Task Relatedness/Relevance
•Statement Complexity (number of distinct ideas within
statement)
•Scope (the breadth of total task addressed by statement)
•Statement Duration
•Tone (directive/confident, condescending, worrisome, etc.)
Page 102
Decision Process in Real-Time
• Conversation Phase Predictability• Conversation Complexity• Conversation Motif• Conversation Chunking
Propositions
Innovation & Creativity
Conversational SequenceCharacteristics
Conversation Complexity
Conversation Chunking
Conversation Motif
Conversation Unpredictability
HighLow
Page 104
Moderated Mediation Model
ConversationalStructure
PerformanceInnovation
TMTComposition-
Demographics-Processes
Page 105
Food for thought…
•Sequence of decision “process” matters– Decision phases– Dynamic dimensionality– Potential impact on decision quality and innovation
•Verbal exchange as informative level of analysis– Verbal statements as fundamental decision points
• Artifactual data with qualitative flavor• Avoid self-report bias
– Group-level construct/measure
• Avoid multi-level problems (i.e., aggregating TMT demographics or questionnaire scales)
Page 106
Dynamic Event Sequencing
• “Event” coding, phasing, and sequencing technique used for other organizational processes
– Resource acquisition or allocation events– Inter-organizational alliances events– New product development phases– Globalizing or internationalizing events
• Explore link between patterns in a variety of organizational processes and patterns of behavior
c db ea
xy wz v
CompetitiveBehavior
OrganizationalProcesses
Page 107
Questions or Comments
Page 108
Thank you