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Solving theoretical and empirical conundrums in international strategy research: Linking foreign entry mode choices and performance

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Abstract

Several theoretical and empirical developments in the literature on foreign entry mode and performance, and on (international) strategy more generally, were influenced or prefigured by Brouthers’ (2002) JIBS Decade Award winning paper. Regarding theory, Brouthers is an archetype of the integration of transaction cost and institutional perspectives. I argue that it is also relevant to the growing literature that aims at synthesizing these and other perspectives. Methodologically, Brouthers (2002) contributed several uniquely direct and rich measures. Furthermore, it not only displayed awareness of endogeneity (specifically self-selection) issues, but also was among the pioneers in the comparative analysis of governance choices for a given firm or transaction. I elaborate on the promising if challenging use of such “what if” imputation to identify the impact of more or less well-aligned choices. Overall, I argue that such methodological advances cannot be decoupled from the conceptual advances that enable them, and which they reinforce.

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Figure 1

Notes

  1. By modes of entry, I mean all possible means of expanding into a foreign market. The studies discussed here typically focus on a binary choice such as wholly owned vs jointly owned (Brouthers, 2002) or acquisition vs greenfield entry (Shaver, 1998). MOEs also include licensing and exporting (e.g., Martin & Salomon, 2003a). In the penultimate section of this paper, I return to the challenges that arise when considering the diversity and potential combinations of MOEs.

  2. I refer by “theoretical perspective”, or “theory” in short, to a coherent set of concepts and assumptions that has achieved sufficient paradigmatic recognition to have both theoretical weight and meaning as a commonly understood perspective. While this provides convenient shorthand in academic debate, it remains that the development of specific refutable hypotheses from such a theory requires researchers to explicate causal linkages specific to their topic (Thomas, Cuervo-Cazurra, & Brannen, 2011).

  3. It is of course possible, and not uncommon, to combine types and forms of theorizing. Thus Lu (2002) integrates transaction cost and institutional arguments, and adds an experiential contingency on institutional effects. As another example, Martin and Salomon (2002, 2003b) create a functional synthesis of internalization and knowledge-based arguments depending on tacitness, and then develop a further contingency analysis based on firm capabilities, presented via subgroup representation (see below).

  4. Also, JIBS editors have duly advised on the need for rigor in combining theory (Bello & Kostova, 2012; Cheng, Henisz, Roth, & Swaminathan, 2009).

  5. It is of course common and often proper to conduct an interaction analysis, and then ascertain the robustness and perhaps the directionality of the results though subgroup analysis. Here, I focus on maximizing the insights from either approach and in particular from subgroup analysis. This does not preclude cumulating the two approaches, but entails that each method be used to its full potential. Furthermore, subgroup analysis is compelling for certain nonlinear estimators, where the interpretation of interaction terms is fraught (e.g., Penner-Hahn & Shaver, 2005).

  6. The latter measure is not exclusively an institutional variable, as Brouthers (2002) recognized in classifying his independent variables. However, elements of (perceived) risk from cultural, political, social and economic conditions are now acknowledged to be intrinsic components of the institutional environment (Martin, Salomon, & Wu, 2010).

  7. As Bascle (2008) points out, if the source of endogeneity is errors-in-variables or simultaneous causation, then the researcher should consider instrumental variable methods other than the Heckman approach and its derivatives, on which I focus below.

  8. Reeb et al. (2012) point to a related concern with fixed effects: if unobserved heterogeneity is associated with time-invariant or slow-changing phenomena of interest, then the fixed effects absorb the relevant variance and thus impede studying it. I would add that this might be avoided where the variance in question is at a level that can be used for subgroup analysis (see also Peterson et al., 2012).

  9. Reeb et al. (2012) do not specifically discuss the Heckman method, but as described below it can be considered a form of instrumental variable approach (see also Bascle, 2008).

  10. In a related approach, Aulakh and Kotabe's (1997) study of international channel integration employed a first-stage logit (of the multinomial and ordered kind, which I return to below) and made insightful use of a MANOVA to show both the irrelevance of choices as such, and the relevance of predicted fit.

  11. The representation in Figure 1(b) would require a different split than Shaver's (1998), based on inferred optimal choices rather than observed choices. As such its interpretation is less straightforward, and subject to the ambiguities of finding a proper cutoff. Sampson (2004: Table 8) illustrates this approach. I present Figure 1(b) here to facilitate the comparison with Brouthers and the theoretical discussion to follow.

  12. For this reason, space considerations allowing, it is desirable to report on the impact of adding the self-selection parameter in greater detail. Some applications of the Heckman correction may appear to add little value – for instance, Krishnan, Martin, and Noorderhaven (2006) had to report a first-stage and Heckman correction for an MOE variable that was but a control variable, and an insignificant one at that, in the performance model of interest. However, for the most part JIBS authors and reviewers are prone to err in the opposite direction, with many papers providing few or even no details about how the endogeneity correction was implemented.

  13. The apparent overall effect in terms of (mis)fit, as in Figure 1(b), would depend on the proportions of firms making each type of mistake. The preceding quote by Caves (1998) corresponds to a case of absolute advantage, assuming that firms with weak opportunities and firms with strong opportunities would both be better off with “policy A”.

  14. An ordered probit (or logit) could apply where choices so fit. So might a nested logit. Where predictors are characteristics of the choice rather than (or in addition) of the chooser, a conditional model is relevant, although the conditional probit is less well developed computationally than the conditional logit.

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Acknowledgements

I am grateful for discussions with Keith Brouthers, Susan Feinberg, Mazhar Islam, Shige Makino, Ram Mudambi and Myles Shaver, as well as comments from an anonymous reviewer, and participants at a presentation at Temple University. Koen van den Oever provided superb research assistance.

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Correspondence to Xavier Martin.

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Accepted by John Cantwell, Editor-in-Chief, 24 August 2012. This paper was single-blind reviewed.

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Martin, X. Solving theoretical and empirical conundrums in international strategy research: Linking foreign entry mode choices and performance. J Int Bus Stud 44, 28–41 (2013). https://doi.org/10.1057/jibs.2012.29

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