GB793 Unit 7 Boundary Condition Analysis Example

Where Going First Stops Paying: A Unit 7 Boundary Condition Analysis of the First-Mover Advantage

[Student Name]

Purdue University Global

GB793: Advanced Topics in Management

Unit 7 Boundary Condition Analysis

[Instructor Name]

[Date]

The proposed test is the candidate's and has not been carried out; the theories and studies cited are real.

Part One: The Relationship Stated Precisely

A boundary condition analysis needs a precise statement of the relationship whose limits it seeks. The relationship here is that order of entry predicts market share among surviving firms several years after entry: the earlier a surviving firm entered, the larger its share. Two features of that statement matter. It concerns surviving firms, so it says nothing about whether first movers are more likely to fail. And it concerns market share, not profitability, which first movers may sacrifice to build share.

Part Two: Three Mechanisms and What Each Requires

Lieberman and Montgomery (1988) identified the mechanisms through which a first mover can gain an advantage. Three are central, and each depends on a condition.

Technological leadership. A first mover can move down the learning curve ahead of rivals or protect its technology with patents. This requires that the technology be stable enough for learning to accumulate and for patents to protect something that will still matter. If the underlying technology changes quickly, a first mover's learning applies to a technology that later entrants can skip.

Preemption of scarce assets. A first mover can secure the best locations, suppliers or distribution channels before rivals arrive. This requires that the assets be genuinely scarce and that their value persist. If new channels open or the valuable assets change, preemption loses its force.

Buyer switching costs. A first mover's customers may face costs of switching to later entrants, from learning a new product to contractual commitments. This requires that customers be acquired early, which in turn requires that a large share of eventual customers arrive while the first mover is alone or nearly so.

Lieberman and Montgomery also noted disadvantages: later entrants can free-ride on a first mover's investments in market development and can learn from its mistakes, and first movers can become locked into early technology.

Part Three: Two Dimensions of Pace

Suarez and Lanzolla (2007) argued that whether these mechanisms work depends on two features of the environment: the pace at which technology evolves and the pace at which the market grows. When technology evolves smoothly and slowly, learning accumulates and patents protect, so technological leadership can be sustained. When the market grows slowly, a first mover can acquire customers before rivals arrive, so switching costs and preemption have time to build.

Their argument produces a two-by-two grid. In the first cell, where both technology and market evolve slowly, first-mover advantages should be strongest and most durable, because every mechanism has time to work. In the second, where technology evolves slowly but the market grows fast, a first mover can still gain an advantage if it has the resources to keep pace with demand, since its technology stays relevant. In the third, where both change quickly, any advantage is likely to be short-lived. In the fourth, where technology changes fast but the market grows slowly, the first mover is in the worst position: by the time customers arrive in numbers, the technology the first mover invested in has been overtaken, and later entrants can offer a better product to customers who were never committed.

A first mover gains most when it can learn and sign up customers before the technology changes, and least when the technology moves faster than the customers arrive.

Part Four: The Breaking Setting and a Test

The breaking setting is fast technological change with slow market take-up. The analysis predicts that in such markets, order of entry will not predict surviving firms' market share, or will predict it weakly, and that the relationship may even reverse.

A test requires measures of both dimensions across many product markets. Technological pace can be measured using patent data, through the citation lag: the median age of the prior patents that new patents in a technology class cite. A short lag indicates that inventors are building on recent work, a sign of fast technological change. Data for this measure are available without charge from the United States Patent and Trademark Office's PatentsView database. Market pace can be measured as the growth rate of unit sales in the years after the first entry, using industry sales data or, for consumer products, adoption figures from government surveys. Order of entry and later market share can be assembled from industry histories and trade publications.

The test would estimate the relationship between order of entry and market share separately for markets in each cell of the grid. The boundary would be confirmed if the relationship were strongly positive in markets with slow technology and slow market growth, and absent or negative in markets with fast technology and slow market growth. If the relationship were equally strong across all four cells, the boundary argument would fail, and the mechanisms would appear more robust to environmental pace than Suarez and Lanzolla proposed.

Two Illustrations

The grid can be illustrated with markets often discussed in this literature. Commercial jet aircraft fit the first cell reasonably well: the core technology evolved gradually over decades and the market grew steadily, and early entrants that survived built lasting positions through learning and customer relationships. Early personal digital assistants fit the breaking cell more closely: the underlying computing and wireless technologies changed rapidly while mass adoption came slowly, and by the time handheld computing reached large numbers of buyers it did so through smartphones built by firms that had not been first into the earlier category. These illustrations are not evidence; they show what the cells mean. The test described above would replace them with systematic measurement across many markets, so that the argument does not rest on cases chosen because they fit.

What the Analysis Contributes

Earlier research often treated the first-mover advantage as a general tendency with exceptions. Whetten (1989) counted the who, where and when of a theory as part of its content rather than as an afterthought, and a boundary condition analysis acts on that idea by replacing exceptions with conditions: it states where the relationship should hold and where it should fail, and it does so before looking at the data. That turns a list of counterexamples into a prediction that could be wrong. The limitation of the proposed test is measurement. Citation lags measure technological pace imperfectly, since citing practices differ across fields, and market growth depends on how the market is defined. Both measures would need to be checked for robustness to alternative definitions.

References

Lieberman, M. B., & Montgomery, D. B. (1988). First-mover advantages. Strategic Management Journal, 9(S1), 41-58. https://doi.org/10.1002/smj.4250090706

Suarez, F. F., & Lanzolla, G. (2007). The role of environmental dynamics in building a first mover advantage theory. Academy of Management Review, 32(2), 377-392. https://doi.org/10.5465/amr.2007.24349587

Whetten, D. A. (1989). What constitutes a theoretical contribution? Academy of Management Review, 14(4), 490-495. https://doi.org/10.2307/258554