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There has been a growing interest in the field of strategic management to understand the relationship between the organizational capabilities of firms and (a) the direction of strategies pursued and (b) the impact on competitive performance. Much of this literature has been influenced by the resource-based view of the firm. As indicated in early formulations of this theory, one implication is that the organization of resources is equally important as the resources themselves. Accordingly, the organizational and integration of resources and knowledge can be viewed as a core facet of the organizational capabilities of firms that are difficult to imitate for competitors. This paper explores a particular kind of organization referred to as the “P-form corporation” (Project-Form), its organizational capabilities and options for strategic alternatives. The chapter addresses three broad questions: (1) What are the main characteristics of P-form corporations? (2) What are the capabilities acquired and developed by P-form corporations and how are these acquired? (3) How do these capabilities vary across different strategic alternatives in the P-form corporation? The chapter concludes with a discussion about the implications for strategy and management.

This chapter estimates a regime switching Taylor Rule for the European Central Bank (ECB) in order to investigate some potential nonlinearities in the forward-looking policy reaction function within a real-time framework. In order to compare observed and predicted policy behavior, the chapter estimates Actual and Perceived regime switching Taylor Rules for the ECB. The former is based on the refi rate set by the Governing Council while the latter relies on the professional point forecasts of the refi rate performed by a large investment bank before the upcoming policy rate decision. The empirical evidence shows that the Central Bank’s main policy rate has switched between two regimes: in the first one the Taylor Principle is satisfied and the ECB stabilizes the economic outlook, while in the second regime the Central Bank cuts rates more aggressively and puts a higher emphasis on stabilizing real output growth expectations. Second, the results point out that the professional forecasters have broadly well predicted the actual policy regimes. The estimation results are also robust to using consensus forecasts of inflation and real output growth. The empirical evidence from the augmented Taylor Rules shows that the Central Bank has most likely not responded to the growth rates of M3 and the nominal effective exchange rate and the estimated regimes are robust to including these additional variables in the regressions. Finally, after the bankruptcy of Lehman Brothers the policy rate has switched to a crisis regime as the ECB has focused on preventing a further decline in economic activity and on securing the stability of the financial system.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.

Change in ownership among U.S. community hospitals has been frequent and, not surprisingly, remains an important issue for both researchers and public policy makers. In the past, investor-owned hospitals were long suspected of pursuing financial over other goals, culminating in several reviews that found few differences between for-profit and nonprofit forms (Gray, 1986; Sloan, 2000; Sloan, Picone, Taylor, & Chou, 2001). Nevertheless, continuing to the present day, several states prohibit investor-ownership of community hospitals. Conversions to investor-ownership are only one of six types of ownership change, however, with relatively less attention paid to the other types (e.g., for-profit to nonprofit, public to nonprofit). This study has two parts. We first review the literature on the various types of ownership conversion among community hospitals. This review includes the rate at which conversions occur over time, the relative frequency in conversions between specific ownership categories and the observed effects of conversion on hospital operations (e.g., strategic direction and decision-making processes) and performance (e.g., access, quality, and cost). Overall, we find that the impact of ownership conversion on the different measures is mixed, with slightly greater evidence for positive effects on hospital efficiency. As one explanation for these findings, we suggest that the impact of ownership conversion on hospital performance may be mediated by changes in the hospital's strategic content and process. Such a hypothesis has not been proposed or examined in the literature. To address this gap, we next study the role of strategic reorientation following hospital conversion in a field study. We conceptualize ownership conversion within a strategic adaptation framework, and then analyze the changes in strategy content and process across sixteen hospitals that have undergone ownership conversions from nonprofit to for-profit, public to for-profit, public to nonprofit, and for-profit to nonprofit. The field study findings delineate the strategic paths and processes implemented by new owners post-conversion. We find remarkable similarity in the content of strategies undertaken but differences in the process of strategic decision making associated with different types of ownership changes. We also find three main performance effects: hospitals change ownership for financial reasons, experience increases in revenues and capital investment post-conversion, and pursue labor force reductions post-conversion. Membership in a multi-hospital system, however, may be a major determinant of both strategy content and decision-making process that is confounded with ownership change. That is, ownership conversion may mask the impact of system membership on a hospital's strategic actions. These findings may explain the pattern of performance effects observed in the literature on ownership conversions.

This paper provides a perspective on the field of nonmarket strategy. It does not attempt to survey the literature but instead focuses on the substantive content of research in the field. The paper discusses the origins of the field and the roles of nonmarket strategy. The political economy framework is used and contrasted with the current form of the resource-based theory. The paper argues that research should focus on the firm level and argues that the strategy of self-regulation can be useful in reducing the likelihood of challenges from private and public politics. The political economy perspective is illustrated using three examples: (1) public politics: Uber, (2) private politics: Rainforest Action Network and Citigroup, and (3) integrated strategy and private and public politics: The Fast Food Campaign. The paper concludes with a discussion of research issues in theory, empirics, and normative assessment.