Knowledge that Transforms

This study incorporates the external environmental context into the study of corporate acquisitions by examining the performance implications of corporate acquisitions during an environmental jolt that alters the levels of environmental munificence. We posit that compared to the periods before and after an environmental jolt, corporate acquisitions during a jolt would be positively related to firm performance. Furthermore, we suggest that organizational slack would improve firm performance and accentuate the positive relationship between corporate acquisitions and firm performance during an environmental jolt; however, it would have negative impact on firm performance and make the acquisition‐performance relationship more negative before and after a jolt. Using the Asian Economic Crisis as a natural experiment, we found general support for our core arguments based on a sample of firms from Hong Kong and Singapore. Our work demonstrates that firms can capitalize on the opportunities created by the changes in an environmental jolt.

We report on two studies (a single and a multi‐industry) that empirically investigate a nomological network of relationships between strategic business unit product‐market strategy (differentiation, cost‐focus, and product‐market scope), marketing capabilities (architectural and specialized capabilities, as well as their integration), and business unit performance (market effectiveness and subsequent one‐year objective cash flow), along with a series of controls. Addressing important lacunae in the resource‐based view our main research objective is to augment understanding of how critical firm‐level marketing capabilities enable the realization of strategy, thus, further advancing both the resource‐based view and more recent capabilities theorizing. Specifically, we test seven hypotheses and find strong evidence that both architectural and specialized marketing capabilities, and their integration, positively mediate the product‐market strategy and derived business unit performance relationship. In contrast to many extant studies, both survey and objectively measured data are combined, and because the secondary data collected contains both resource‐level (input) data and subsequent one‐year financial data, a higher level of confidence may be attributable to our findings.

Abstract ‘Job hopping’ by engineers and scientists is widely heralded as an important channel for knowledge spillovers within industries. Far less is known, however, about the actions firms take to reduce the outward flow of knowledge through markets for skilled labor. This study investigates the efficacy of a lever that has received little research attention: corporate reputations for toughness in patent enforcement. Drawing on unique data on enforcement activity, intra‐industry inventor mobility, and patent citations in the U.S. semiconductor industry, we find that a firm's litigiousness significantly reduces spillovers otherwise anticipated from departures of employee inventors, particularly when the hiring organizations are entrepreneurial ventures. Surprisingly, the deterrent effects of patent enforcement are similar in magnitude for firms located in California, a state characterized by open norms for knowledge trading, and firms headquartered in other U.S. states. The study sheds new light on the strategic actions firms use to prevent rivals from capturing value from their investments in human capital and research and development.

Bridging the resource‐based view and the institutional perspective, this study explores the performance consequences of firms' alliance partner selections by examining the interactions of resource complementarity and institutional associations (reflected through both societal and network status) between the firm and its partners. The integrative framework suggests that a joint consideration of resource complementarity and status effects, as well as important firm‐ and environmental‐level contingent factors, are critical for understanding the underlying mechanisms of alliance formations and their effects on firm performance. Further, our study suggests that it is necessary to consider both societal and network status as they can have distinct effects under certain conditions. Our analyses of four U.S. industries (computer, steel, pharmaceutics, crude petroleum and natural gas) over a span of 13 years largely support our framework.

Much of the literature on corporate acquisitions has focused on managerial incentives for making acquisitions but has underemphasized the role played by the social context of major shareholders. This study of Fortune 1000 firms argues that the priorities and risk preferences of family owners can have important implications not only for the volume but also for the diversifying nature of their acquisitions. Agency and family business perspectives are used to derive expectations concerning the acquisitions behavior of family owners. Consistent with both perspectives, and owners' desire to reduce business risk, we find that family ownership is inversely related to the number and dollar volume of acquisitions. However, whereas agency theorists differ about how ownership concentration influences whether acquisitions are diversified, the family firm literature is more definitive. The latter suggests that given family owners' desire to retain control of their firms for offspring, their wealth must remain concentrated. Hence they can most easily reduce the risk of their wealth portfolio by diversifying the business—that is, through diversifying acquisitions. Consistent with this logic, we found the propensity to make diversifying acquisitions to increase with the level of family ownership.

This paper examines performance effects of ownership concentration and two types of private equity investors (venture capitalists and business angels) in firms that have recently undergone an initial public offering (IPO) in the United Kingdom and France. We expand and contextualize nascent understanding of multiple agency theory by examining heterogeneity of private equity investors and by suggesting that multiple agency relationships are affected by different institutional contexts. We employ a unique, hand‐collected dataset of 224 matched IPOs (112 in each country). Controlling for the endogeneity of private equity investors' retained share ownership, we find support for the agency theory argument that concentrated ownership improves IPOs' performance. The research also shows that the two types of private equity investors have a differential impact on performance, and the legal institutions in a given country moderate this impact.

In a recent issue of this journal, Glenn Hoetker proposes that researchers improve the interpretation and presentation of logit and probit results by reporting the marginal effects of key independent variables at theoretically interesting or empirically relevant values of the other independent variables in the model, and also by presenting results graphically (Hoetker, 2007: 335, 337). In this research note, I suggest an alternative approach for achieving this objective: reporting differences in predicted probabilities associated with discrete changes in key independent variable values. This intuitive approach to interpretation is especially useful when the theoretically interesting or empirically relevant changes in independent variables values are not very small, and also for models that contain interaction terms (or higher‐order terms such as quadratics). Although the graphical presentations recommended by Hoetker implicitly embody this approach, they typically fail to include appropriate measures of statistical significance, and may therefore lead to erroneous conclusions. In order to calculate such measures, I recommend and demonstrate an intuitive simulation‐based approach to statistical interpretation, developed by King et al . (2000), that has gained widespread adherence in the field of political science. Throughout the article, I provide a running example based on research that has previously appeared in the Strategic Management Journal.

Although one tenet in the alliance literature is that firms learn from prior experience, we posit that any potential learning effects depend on the type of experience. In particular, we hypothesize that alliance exploitation experience has positive effects on R&D project performance, while alliance exploration experience has negative effects. We further posit that an internal exploration competence allows firms to leverage their external exploitation experience more fully. In contrast, when firms combine internal exploitation experience with external exploration experience, the negative effects on R&D project performance become more pronounced. To test this integrative model of organizational learning, we leverage a unique and detailed dataset of 412 R&D projects in biotechnology conducted by large pharmaceutical companies between 1980 and 2000. Using a competing risk event history model predicting successful product approval versus project termination, we find support for our theoretical model.

The resource‐based view of the firm emphasizes the role of firm‐specific resources, especially firm‐specific knowledge resources, in helping a firm to achieve sustainable competitive advantage. However, the deployment of firm‐specific knowledge often requires key employees to make specialized human capital investments that are not easily redeployable to other settings. Thus, in the absence of effective safeguards and trust building devices, employees with foresight may be reluctant to make such specialized investments. This study explores both economic‐ and relationship‐based governance mechanisms that might mitigate this underinvestment problem. Effective use of these governance mechanisms enables a firm to obtain greater performance from its efforts to deploy firm‐specific knowledge resources. Empirical results further support these key arguments.

Strategy researchers are increasingly turning their attention from examining the impact of strategic choices on firm performance to examining the factors that determine strategic choices at the firm level. This shift of research orientation has meant that researchers are increasingly faced with a limited dependent variable (LDV) that takes a limited number of usually discrete values, for which LDV methods such as logit or probit are required. Despite their growing popularity, there appears to be widespread problems in the use of LDV methods. This research note complements recent studies that offer general guidelines by presenting and illustrating the practical steps needed to implement the methods essential for analyzing and interpreting the results from LDV models.