firm internationalization, first mover advantage, and the nash equilibrium

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1 Firm Internationalization, First Mover Advantage, and the Nash Equilibrium Philip V. Fellman Southern New Hampshire University Manchester, NH [email protected] Nicholas Nugent Southern New Hampshire University Manchester, NH [email protected] David Doyon Southern New Hampshire University Manchester, NH [email protected] Jonathan Vos Post Computer Futures Altadena, CA [email protected] Roxana Wright Plymouth State College [email protected] (Paper presented at the 14 th Annual Meeting of the Association of Japanese Business Studies, Academy of International Business, Indianapolis, IN, May, 2009)

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Firm Internationalization, First Mover

Advantage, and the Nash Equilibrium

Philip V. Fellman

Southern New Hampshire University

Manchester, NH

[email protected]

Nicholas Nugent

Southern New Hampshire University

Manchester, NH

[email protected]

David Doyon

Southern New Hampshire University

Manchester, NH

[email protected]

Jonathan Vos Post

Computer Futures

Altadena, CA

[email protected]

Roxana Wright

Plymouth State College

[email protected]

(Paper presented at the 14th

Annual Meeting of the Association of Japanese Business

Studies, Academy of International Business, Indianapolis, IN, May, 2009)

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Abstract: In the following paper we step outside of the traditional domain of

international business theory. Using techniques from mathematical economics and from

recent developments in game theory, we develop a predictive tool aimed at providing

elements of a prescriptive methodology for strategic international market entry.

Introduction – Firm Internationalization and First Mover Advantage

A recent Harvard Business Review Article by Suarez and Lanzolla (2005) entitled

The Half-truth of First Mover Advantage argued that the concept of first mover

advantage has so much intuitive appeal that its validity is generally taken for granted.

They explain this eloquently, noting:

Some management concepts such intuitive appeal that their

validity is almost taken for granted. First-mover advantage is one

such concept. Although the fate of its most convinced adherents,

the dot-coms, offers a cautionary lesson, managers 'faith that first-

mover status brings important competitive advantages, even when

network effects are not available to accelerate and entrench it,

remains undiminished. Business executives from every kind of

company maintain, almost without exception, that early entry into

a new industry or product category gives any firm an almost

insuperable head start.

Corporations, groups of corporations, and bureaucrats responsible for providing the

administrative guidance which supports many Asian countries’ national investment and

manufacturing strategies often rely on the bundled concepts of first mover advantage,

early market entry, targeted technologies, and market flooding. They adopt this set of

strategies in order to gain early brand loyalty with the expectation that these strategic

moves will, over the long, term yield above average profitability (Porter, 1996). One of

the problems we find with this strategy (again following Porter) is that it is often

excessively imitative in nature, and too frequently relies on unidimensional measures of

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product performance (such as zero defect manufacturing and other, similar quality control

measures). At the same time, best practice (as well as value chain reinforcement and

higher order strategic fit) may actually be rather poorly distributed or maladapted from

the sources of imitation. In this context, sustainable profitability receives insufficient

scientific and managerial consideration. For example, the practices associated with

market flooding can often provoke a series of counterproductive behaviors. As

Eisenmann (2003) argues:

“…The stakes can be enormous when firms race to acquire

customers: if winners take most, little is left for losers. In extreme

cases, racing can yield disastrous results for all parties. This was

true for many industries in which firms pursued learning curve

strategies. After cutting prices, these firms found it difficult to

gain sustainable cost advantages. Often they were unable to keep

their learning proprietary due to technological spillovers:

competitors copied their new and improved techniques.”

However, the ability of firms to profit from this approach is questionable along

several dimensions. For a start, let us consider Suarez and Lanzolla’s literature review:

…for every academic study proving that first-mover

advantages exist, there is a study proving they do not While some

well-known first movers, such as Gillette in safety razors and Sony

in personal stereos, have enjoyed considerable success, others,

such as Xerox in fax machines and eToys in Internet retailing, have

failed. We have found that the differences in outcome are not

random-that first mover status can confer advantages, but it does

not do so categorically. Much depends on the circumstances in

which it is sought. One possible explanation for Sony's success is

that its strong brand name, substantial financial resources, and

excellent marketing skills allowed it to make the most of its first-

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mover status. But Xerox, too, had a great brand name, deep

pockets, and many valuable skills. And Sony, despite its brand and

marketing muscle, could not translate being the first mover in

home VCRs into anything approaching its success with the

Walkman. Yes, a firm's resources – and luck-are important, but

certain other factors and conditions can be decisive as well.

Quality vs. Strategy

Porter explains some of those factors in terms of the rather unfortunate consequences

of excessive reliance on quality as a proxy for strategy as well as the outward movement

of the production frontier, resulting in a series of improvements in corporate performance

along virtually every dimension except profitability (Porter, 1996). Porter illustrates this

problem as shown in figure 1 below:

Figure 1: Operational Effectiveness vs. Strategic Positioning Along a Shifting

Productivity Frontier.

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We can see that as the productivity frontier moves outward margins are naturally

bound to shrink, as indeed is well known from Boston Consulting Group studies of the

product life cycle (Stern et al, 1998). Unfortunately, it is precisely the element of

profitability which we wish to explore, and which is central to the acquisition and

maintenance of sustainable competitive advantage. If we follow this line of reasoning

with Eisenmann’s graphical illustration of sustainable competitive advantage, it is easy to

see the result of the expanding production frontier (Figure 2, Eisenmann, 2003):

Figure 2: The NPV Impact of Investments in Customer Acquisition

As we can see from figure 2, Eisenmann is not insensitive to Porter’s analysis, and his

approach is to catalogue the standard requirements for competitive advantage as factors

which increase customer acquisition cost. He sees the main pitfall of the customer race,

or the race for first mover advantage to arise from attempts to broaden a company’s

products beyond the core demand characteristics of the bundle of goods and services

most likely to appeal to its customers. Understanding the structure of these bundles is not

prima facie terribly difficult. In Figure 3 we have developed a simplified chart designed

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to express the tradeoffs between price and quality that Porter explores more fully in his

cost-focus matrix.

This kind of analysis of market positioning can easily be related to Suarez and

Lanzolla’s arguments. Essentially, they distinguish between what they describe as

“durable” first mover advantages, where a firm obtains the type of first mover advantage

which allows it to gain a long term advantage over competitors, as compared to short-

term benefits, particularly shareholder value creation in U.S. companies, advantaged by

early positioning in competitive markets. A distinguishing factor is the question of

whether a short-term investment can, in fact, be translated into a long term competitive

advantage. One example of this which they use is the competitive positioning of

Netscape as an internet browser and its ultimate effect on Microsoft and Apple

Computer’s relative stock performance:

…even when a company cannot build a durable first-mover

advantage, it may obtain some benefits from early entry. The

pioneering efforts of Netscape, the first to market an internet

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browser, briefly produced enormous gains for shareholders until

the stock price plummeted in 1997 following the rise of

Microsoft's browser, Explorer. Apple declined more gradually-it

was profitable for several years before pressure from Microsoft

and Intel took a toll, forcing it to restructure in the early 1990s.

Whether the end comes suddenly or slowly, profits can be great

enough to make a short-lived first entry a worthwhile investment-

and perhaps to make it a strategic objective. Of course, a business

is free to choose not to enter a new market at all. But even a

runner-up's margins may look good compared to the opportunity

cost of staying out of a new market.

However, unlike Suarez and Lanzolla, and like Michael Porter, we believe that in

international markets the rush to gain first mover advantage, is too often imitative, too

often leads to destructive competition, and too often leads to all sorts of gains which

translate into everything but profitability. In this sense, our approach is rather critical of

the rush to first mover advantage in general, even before we apply the Nash equilibrium

to obtain what we believe is a novel mapping of where one can locate or, alternatively

positively rule out a first mover advantage. In a weaker form, we would agree with

Suarez and Lanzolla that it is almost always possible, in some form, for a firm to obtain a

first mover advantage. However where we disagree is that we feel it is categorically,

(and as we shall demonstrate later in this paper, mathematically) not always possible to

obtain a profitable first mover position.

Industry Dynamics

Much of Suarez and Lanzolla’s approach hinges on appraising industry dynamics.

They take a tactical approach to this and categorize industry strategies as falling into one

of three positions: (a) creating a technological edge; (b) pre-empting later arrivals’ access

to scarce access and (c) building an early base of customers who would find it

inconvenient to switch to the products of subsequent entrants. Our point of disagreement

with them is not that their analysis is wrong but rather that it is what physicists would

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describe as too grossly grained to capture the critical market dynamics. Suarez and

Lanzolla do illustrate some mechanisms of common market penetration, but their analysis

is quite primitive compared to that of Theodore Modis (1998) and others who have

approached the problem from a quantitative modeling direction rather than from a

comparative business, or qualitative history of economics direction. They raise some

interesting questions about product introduction and the relationship of the production

frontier to product introduction, but their comparative analysis of the pace of change (p.

123) falls far short of Modis systematic approach through the use of sigmoid growth

curves and their derivatives to explain product life cycles and product replacement. More

troubling, Suarez and Lanzolla do not look nearly deeply enough into the process of

technology shock, which can undermine the entire dynamics of all three of their strategies

and which has a characteristic shape to switching costs and the definition of adopter

practices. Most likely, they are simply unfamiliar with the simulation and evolutionary

economics literature which describes these processes, which is unfortunate, because

while their basic analysis is, in fact, relatively on target, they miss some of the most

important dynamics of technology replacement, which makes it difficult to apply their

reasoning on anything beyond a metaphorical or analytical level.

Mauro Guillen (2001) characterizes the problem with this approach when he cites the

largely imaginary homogeneity which most business authors attribute to the process of

globalization:

Conventional wisdom has it that the world is undergoing rapid

globalization and that this process compels countries, industries,

and firms to converge toward a homogeneous organizational

pattern of “best practice” or “optimal efficiency”. Those who fail

to conform are doomed to fail in the global economy. I argue

against this modernist, flat-earth view of globalization. Countries

and organizations do not gravitate toward a supposedly universal

model of economic success and organizational form as they

attempt to cope with globalization. Rather, the mutual awareness

that globalization entails invites them to be different, namely, to

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use their unique economic, political, and social advantages as

leverage in the global marketplace.

In our own research, we have used the non-equilibrium economic approach pioneered

by W. Brian Arthur to examine a more precise definition of what it means to introduces

new technologies, pre-empt a user base or attempt to control switching costs, including

pre-emption by first-mover market flooding. The Arthur approach allows us to introduce

network externalities, “open” systems and non-equilibrium dynamics, all features which

we believe are particularly characteristic of the global information revolution (see also

Katz, Shy, Shapiro and Varian, etc.) Arthur’s methodology can be used to develop a

more comprehensive treatment of technology diffusion and technology replacement, as

demonstrated by the work of Paul Windrum and Chris Birchenhall (2001) as well as that

of simulation experts at the New England Complex Systems Institute and the Santa Fe

Institute (Mertz et al., 2006; Bonabeau, 1999). When we combine the foregoing research

with insights from the Nash equilibrium, we arrive at both a more systematic treatment of

new technology introduction than that offered by Suarez and Lanzolla as well as a more

precise, and ultimately quite different characterization of first mover advantage than the

layman’s description provided by Suarez and Lanzolla.

For a start, the adoption of new technologies is not nearly as simple as Suarez and

Lanzolla make it out to be. Market advantage is driven by complex evolutionary

dynamics. These dynamics are perhaps best described by Stuart Kauffman (1993, 1996)

in his transfiguration of the neo-Darwinist evolutionary paradigm, particularly in his

explanation of the structure of “rugged fitness landscapes” and characteristic efficiencies

of search patterns in rugged multi-peaked dynamic fitness landscape type environments.

Effective search, which can be closely tied to core products, core competencies and

Michael Porter’s value chain (McKelvey, 1999) is very different on a rugged multi-

peaked environment than it is on the Kilimanjaro-like single peaked global optimum of

neo-classical microeconomics (Macready, 2006; Fellman, et al, 2009).

In particular, it appears that emergent patterns of technological networking typically

follow a “punctuated” collapse when a new technology is introduced. Paul Windrum

explains this process in his 1999 study, whose findings were subsequently verified in

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Windrum and Birchenhall’s 2001 simulation. Windrum and Birchenhall discovered and

subsequently mapped a strongly dichotomous grouping of technology adopters arising

after a technology shock or the sudden introduction of new technologies to the

marketplace (Windrum, 1999, Windrum and Birchenhall, 2001). What this means is that,

dependent on product characteristics1, some products produce a universal shift from the

old technology to the new technology, while other products result in some retention of

the old technology by old users while a new user population adopts the new technology

(Windrum and Birchenhall 2001).

This set of findings also suggests that in examining network relationships and

resource based strategies of international market entry, some of the relative network

characteristics may be rather different than those traditionally suggested in the literature.

The “punctuated collapse” finding, for example, suggests that with rapidly shifting

technologies, firm alliances across emerging technologies with, as yet, low market

penetration, may be of equal or greater importance than network relationships across

established clusters. Also, as Butts (2000, 2001) and Carley (2003) have suggested in a

slightly different, but nonetheless relevant context, differentiating between cohesive and

adhesive networks may likewise be an important function of addressing the behavior and

value of network relationships. For new technologies, adhesion to new standards, such as

open source software, or software as a service, may provide the foundation of emergent

relationships and network externalities, ultimately driving who gets the actual first mover

advantage (Fellman, Nugent and Mertz, 2007; Pring, 2007).

First Mover Advantage, Second Mover Advantage and the Nash Equilibrium

To help unravel the complexities surrounding technology evolution and its

relationship to first and second mover advantage in new, international markets we will

turn to a rather interesting explanation by game theorist Paul Hofer (Hofer, 1998), taken

in part from Cambridge University lectures by Sir Partha Dasgupta (see also Dasgupta,

2005), the first economist in its three hundred odd year history to be appointed as a

1 Variations in product characteristics are represented by Windrum and Birchenhall by their simulation of

non-linear design characteristics. While they have simplified this in the 2001 study, it does in fact

approximate Stuart Kauffman’s next nearest neighbor methodology used by the Ernst and Young Center

for Business Innovation in advising clients on new product development strategies.

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Fellow of the Royal Society. We provide a close reading of Hofer here because we feel

the importance of his work demands more than a brief summary or even a modest

synthesis.

In order to demonstrate the basic use of Nash equilibrium in strategic planning, Hofer

first provides an example of a game in normal form with independent Nash equilibria.

Here, players move independently and there is no differential advantage or disadvantage

arising out of sequential play or sequential implementation of strategies. This approach is

characteristic to the simplified explanation which Nash provides at the beginning of his

thesis where he notes that “it turns out that the set of equilibrium points of a two-person,

zero-sum game is simply the set of all pairs of ‘opposing good strategies” (Nash, 1950).

player 2

plan A plan B

player 1

plan A 7; 9 0; 1

plan B 3; 5 4; 2

Figure 4: Hofer’s first example: A normal, bi-matrix, zero-sum strategy game

Hofer then modifies the payoff matrices as shown below, giving the advantage to

whoever moves first, thus forcing the expansion of the game from normal form, where all

the moves may be played simultaneously to the extensive form, where strategies are

executed and outcomes are reaped sequentially:

Figure 5: The Bimatrix game in extensive form, expressed as a decision tree.

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Hofer’s next step, which is really the key step in exploring alternative strategies and

applying the model to the analysis of decisions under conditions of uncertainty, is then to

modify the payoff at the extreme lower right from 4;2 to 4;10. This modification

produces a new structure which contains not one but two Nash equilibria. What is

important here is that the sequential nature of the game, something which all students of

international trade and negotiations are familiar with, allows the player who moves to

determine which of the two Nash equilibria the game actually arrives at.

In being able to force a single, specific Nash equilibrium from one of multiple

outcomes, by an early mover choice, we now have a scientific explanation of what

constitutes an actual first mover advantage. We will further explain this process below.

In comparison to the example given above, Hofer argues that the traditional approach

to understanding the second mover advantage has generally been fallacious. Some of the

common errors in this regard are likely just the consequence of poor choices in

explanatory language, often coupled with a weak technical understanding of the

mathematics of game theory. However, the deeper point to be made here is that a proper

understanding of the application of the Nash equilibrium can, in fact, be used to replace

weak or questionable examples of “second mover advantage” with a new category of

arguments which properly define the second mover advantage position and process.

Naturally, we believe that this kind of scientific advance should be of some

considerable interest to those involved in strategic planning, particularly when that

planning involves new international market entry and a decision as to whether or not to

become the first entrant in a new, foreign market.

The Traditional View of Second Mover Advantage

Hofer’s example of the conventional treatment of second mover advantage uses as the

setting of the industrial revolution with England being the first mover and Continental

Europe being the second mover (a type of explanation familiar to students of political

economy). Coincidentally, this also happens to be the kind of over-generalized approach

of which Mauro Guillen is so rightfully critical in his analysis of the literature on

globalization. This example is illustrated below in figure 6.

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Continental Europe

industrialise don't industrialise

England

industrialise 20; 45 60; 10

don't

industrialise 10; 60 0; 0

Figure 6: Dasgupta and Hofer’s Game Theoretic Depiction of Early Industrialization

Hofer then points out that if one examines this game carefully, its form is not really

different from that of game 1. What is perhaps more significant is that upon close

inspection, there is no way to change these payoffs. Whether Britain industrializes first

or second, the payoff remains the same (i.e., 20 for England and 45 for Europe):

Figure 7: The industrialization problem expressed in extensive form as a game-theoretic

decision tree (the nodes are determined by game moves not by probabilities)

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This treatment demonstrates that, at least in a scientific or mathematical sense, there

is no meaningful way in which one can define the so-called “second mover advantage” in

such circumstances or a game theoretic framework in this kind of hypothetical setting.

The payoff for industrializing is simply higher for the second player. Choice, however,

the sine qua non of strategic planning, is simply not involved! This means that such

characterizations of second mover advantage cannot be measured, nor can they provide

meaningful decision heuristics for strategic planners. They are, at best, academic

fictions, and at worst, crackpot misrepresentations of game-theoretic metaphors which

confuse and confound serious strategic issues.

An even worse consequence of this choice of game metaphor is the fact that if one

tries to change the sequence of moves, then the outcome must change as must the

equilibrium payoffs. This leads a depressing set of “surprising, but irrefutable results”

(Hofer, 1998). Because this kind of game has only a single Nash Equilibrium, the payoff

remains at 20 for England and 45 for Europe no matter who moves first. Thus,

mathematically speaking, it is essentially nonsense to speak of a second mover, or at least

a second mover advantage or in mathematical language “an extensive form game” in this

context. If one attempts to get around this difficulty by incorporating other factors, such

as a postulated learning curve effect, then one can get different numbers, but the different

payoffs generated as the result of such modifications of the basic framework then mean

that the comparison is unavoidably being made between two entirely different games,

leading to an incommensurability which is even worse than the problems generated by

the initial case.

The best that such an approach can do is lead to a “fortuitous mistake”. In more

ordinary terms it means that this type of analysis will always provide a false rationale and

lead to false or unsupported strategic conclusions. In simple terms this kind of game

theoretic metaphor (in part because it is just metaphor and not proper mathematical game

theory) is the kiss of death to sound strategic forecasting. As a guide to international

market entry its shiny bells and whistles are inherently and profoundly misleading.

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A New View of the Second Mover Advantage

Fortunately, this is not the end of the story. Behind this foregoing analysis lies an

alternative second mover advantage of a very different kind. Something which one might

label “real second mover advantage”. This kind of second-mover advantage is one which

is mathematically and methodologically properly stated, and which is purely defined by

its Nash Equilibrium characteristics. That is, it is a market situation which has no Nash

equilibrium, but which constitutes a solvable game via backward induction.2

The example which Hofer uses is one where competing firms must decide whether to

use common or proprietary technologies. This is the kind of issue which has played a

strong role in the development of modern, information age technologies (Evans and

Wurster, 1997; Windrum and Birchenhall, 2001, Fellman, Mertz and Nugent, 2007).

Dasgupta and Hofer disguise the participants in the game by calling them Apple and

Microsoft. We have restructured their example to reflect the actual competitors,

Microsoft and Apple, and the game runs along the lines discussed below.

Two competing firms, Apple and Microsoft both produce similar products. However,

Apple has only a small market share, while Microsoft controls a major portion of the

market. Both companies want to bring a new product onto the market, which will require

them to introduce one of two new operating systems. In this regard Microsoft, despite its

size has also has an inferior product technology compared to Apple, something like the

current competitive situation between Apple’s iPod ™ and Microsoft’s Zune ™ system. If

both firms decide to launch their products using the same operating system (i.e. the same

digital storage, music and video download and playback formats), then the whole market

would be encompassed by that system (i.e. .mp3, .mp4 or .wma, etc.) and in terms of the

hardware (iPod vs. Zune), everybody would be able to choose between the two

technologies and the products of the two companies.

Both history and game theory show that such a situation would significantly favor

Apple. On the other hand, if the two firms operate different systems, Microsoft's

customers are stuck with Microsoft's system and hence have no access to Apple's

2 The caveat, which is both reasonable and relatively commonplace is that the sequence of moves must be

known. This is akin to mapping the set of possible strategy spaces for the particular problem, again

something often done on a two by two matrix.

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advanced technology, as well as Apple’s software distribution system, iTunes, which

could then only be sold to Apple's customers, thus limiting iTunes and presumably even

the iPod’s market share.

When Dasgupta and Hofer set up a problem of this type, they used the following game

theoretic payoffs for this type of bivariate matrix (Hofer, 1998):

Microsoft

iTunes Windows Media Audio (.wma) file

Apple

iTunes 10; 4 3; 6

.wma 2; 7 9; 5

Figure 8: iPod vs. Zune as a function of downloads and operating systems

Hofer’s argument is that even in a situation like this, where there is no Nash

Equilibrium, as long as the sequence of moves is know, we can calculate the outcome. If

Apple enters the market first, they will choose System A (.mp3 and .mp4 and iTunes), to

which Microsoft will respond by choosing system B (Microsoft Windows Media Audio

files and an alternative array of Windows compatible video files). If Microsoft had

moved first, they would still have chosen System B, but in that case, it would have been

to Apple’s advantage to have used the same (although admittedly inferior) system rather

than the iTunes format which they were able to choose to their considerable advantage as

the nominal first mover in the personal digital media player market.

What is, perhaps, most interesting about the game theory analysis is that both players

do better (i.e., enjoy a second-mover advantage, or a higher payoff) when they go second.

Unlike the counter-factual hypothetical explanation advanced for industrialization, this

type of setting possesses a real second mover advantage, precisely because the second

mover enjoys a higher payoff than if they had moved first. Microsoft would have had

higher hardware sales but all of the profits from their content would have accrued to

Apple through iTunes and the iTunes store. This is a model of second mover advantage

which can be measured and directly applied to strategic planning decisions, particularly

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those regarding first or second mover strategies not just for new product market entry but

for foreign market entry as well.

Conclusion: Identifying Real First Mover and Second Mover Advantage

In defining the game theoretic characteristics of authentic first mover advantage,

Hofer uses a simple game of “musical chairs” in the Princeton University dining hall to

illustrate how one can achieve an optimal payoff by moving second (see Hofer, 1998). In

the more complex setting of international business, anticipating one’s rival is often a

function of possessing accurate information. In this context, disinformation may well be

one of the most powerful tools available for developing competitive strategies where a

real second mover advantage is involved.

Here, the principal identifier for the second mover advantage is being able to

calculate the absence of a Nash equilibrium. However, there is also a second identifier

which can easily be observed, and that is the presence of mixed strategies. If a

competitive dynamic possesses mixed strategies, then the game will have at least one

Nash Equilibrium. This is a direct consequence of Nash’s proof where the

correspondence of mixed and pure strategies define the combinatorics of his argument

(Nash, 1950, pp. 2-3). This feature of the Nash equilibrium leads us to two important

conclusions. First, if we are attempting to formally define a true second mover

advantage, then we can immediately rule out any strategic situation with mixed strategies

(i.e., in order to satisfy the conditions of genuine second mover advantage, there must be

no Nash Equilibrium, which necessarily means no mixed strategies.)

In defining authentic and mathematically rigorous first mover advantage, exactly the

opposite situation obtains. If we are attempting to discover whether there is a real first

mover advantage in new market entry, then we should be looking for a situation which

demonstrates at least one Nash Equilibrium, and we should be looking for the kind of

competition which is characterized by mixed strategies (i.e., bundled goods and services,

strategic solutions, competition along more dimensions than simply price, etc.) As a final

thought, or perhaps even as an afterthought, from the standpoint of competitive

intelligence or what we might call the competitive strategy of market intelligence a

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company or a business group may quite possibly find it highly rewarding to inject a

deliberate element of disinformation into the marketplace, especially if they can do this

immediately prior to a new international product launch, simply to make conditions more

difficult for rivals attempting to determine and counter the first company or business

group’s strategy (Egnor 1999; Billings, 1999; Sato, Akiyama and Farmer, 2002).

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