Do CEOs in Mergers Trade Power for Premium? Evidence from "Mergers of Equals"

I analyze chief executive officer (CEO) incentives to negotiateshared control in the postmerger governance of the survivingfirm. In order to do this, I study abnormal returns in a sampleof "mergers of equals" (MOEs) transactions in which the twofirms are approximately equal in postmerger board representation.These transactions are friendly mergers generally characterizedby premerger negotiations that result in both greater sharedcontrol (board and management) and more equal sharing of mergergains between the two firms. On average, the value created measuredby combined event returns is no different between MOEs and amatched sample of transactions. However, target shareholderscapture less of the gains measured by event returns in transactionswith shared governance. Moreover, target shareholders' shareof the gains is systematically related to variables representingpostmerger control rights, and shared governance is more likelyin transactions in which CEOs face greater incentives for control.The evidence suggests that CEOs trade power for premium by negotiatingshared control in the merged firm in exchange for lower shareholderpremiums.     

Clueing in customers

Leonard L. Berry and Neeli Bendapudi When customers lack the expertise to judge a company's offerings, they naturally turn detective, scrutinizing people, facilities, and processes for evidence of quality. The Mayo Clinic understands this and carefully manages that evidence to convey a simple, consistent message: The needs of the patient come first. From the way it hires and trains employees to the way it designs its facilities and approaches its care, the Mayo Clinic provides patients and their families concrete evidence of its strengths and values, an approach that has allowed it to build what is arguably the most powerful brand in health care. Marketing professors Leonard Berry and Neeli Bendapudi conducted a five-month study of evidence management at the Mayo Clinic. They interviewed more than 1,000 patients and employees, observed hundreds of doctor visits, traveled in the Mayo helicopter, and stayed in the organization's many hospitals. Their experiences led them to identify best practices applicable to just about any company, in particular those that sell intangible or technically complex products. Essentially, the authors say, companies need to determine what story they want to tell, then ensure that their employees and facilities consistently show customers evidence of that story. At Mayo, the evidence falls into three categories: people, collaboration, and tangibles. The clinic systematically hires people who espouse its values, and its incentive and reward systems promote collaborative care focused on the patient's needs. The physical environment is explicitly designed for its intended effect on the patient experience. In almost every interaction, an organization's message comes through. "Patients first," the Mayo Clinic's message, is not the only story a medical organization could tell, but the way in which Mayo manages evidence to communicate this message is an example to be followed.     

Confronting the science/value split: notes on feminist economics, institutionalism, pragmatism and process thought

What changes must economics undergo, if it is to become a moreadequate discipline, furthering of survival and flourishing?This essay argues that a break must be made from contemporarymainstream economics at the level of ontology (i.e., about thenature of reality). Drawing on neglected traditions of pragmatistphilosophy and process metaphysics, some elements of ‘old’institutionalist economics, and late-twentieth century naturalscience, it demonstrates that ample argument exists for a viewof the world as open, evolving and permeated with value. Furthermore,feminist scholarship offers an explanation for why such a worldviewfaces an uphill battle for acceptance.     

Predicting nurses' organizational and professional identification: the effect of nursing roles, professional autonomy, and supportive communication

Recruiting and retaining qualified nursing staff is of growing importance to today's hospital and nurse leaders. Findings from a survey completed by 190 RNs at a major teaching hospital revealed that nursing roles, professional autonomy, and supportive communication were differentially related to the nurses' organizational and professional identification. Professional autonomy was by far the strongest predictor of nurse identification, followed by manager and co-worker support. Co-worker support and traditional nursing roles predicted nurse professional identification, but neither traditional nor collaborative roles predicted nurses' identification with their organization. Communication strategies intended to help executives retain qualified nursing staff are presented.     

Outsourcing Canadian Armed Forces logistics in a foreign theatre

Successful outsourcing of military logistics depends much on cooperation and efficiency, and this article provides an in‐depth analysis of challenges this may pose using collaborative competence theory. Using an exploratory approach, this paper is based on a review of the existing literature and on the experience of the Canadian Armed Forces in a foreign theatre. Specifically, the information collected comes from on‐site observation during the UN mission in Bosnia, semistructured interviews, and archives. Our analysis shows that outsourcing military logistics activities in a foreign theatre should be seen as building and managing a “temporary network.” In order to overcome challenges in such a situation, the Armed Forces must specifically act on the adaptability of all individuals in the theatre. The approach should be based on “collaborative competence.” Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

Agricultural development with rainforest conservation: methods for seeking best bet alternatives to slash-and-burn,with applications to Brazil and Indonesia

Forests continue to fall for agricultural purposes throughout the humid tropics, with immediate and potentially large consequences for climate change and biodiversity loss-issues of key interest to the international community. Some of the actors directly responsible for forest conversion fell trees to meet food security needs and alleviate poverty-issues of urgent interest to them and also to national policymakers. This multiplicity of groups with differing (often conflicting) interests in the multifarious goods and services produced by tropical forests complicates the search for alternative agricultural activities for forest margins since these alternatives must satisfy such divergent objectives. This paper sets out a conceptual framework for comparing the impacts of different land use systems and agricultural practices at the margins of tropical rainforests in terms of the concerns and objectives of two key interest groups: small-scale farmers seeking livelihoods at the forest margins and the ‘international’ interests in the global public goods and services supplied by tropical rainforests. This framework should be useful to a third key group, the national and regional policymakers who must consider these and other policy objectives and then decide on courses of action. The paper identifies data needs and analytical methods capable of supplying an empirical base for this conceptual framework, based on quantifiable indicators. It then presents preliminary results of the application of this conceptual framework in Indonesia and Brazil in association with a global, collaborative, multidisciplinary research program. Even using preliminary order-of-magnitude estimates (to be replaced by more precise measurements as they become available), this conceptual framework presents results in ways that allow researchers and policymakers to select clear ‘best bets’ for development, when they exist, and to assess tradeoffs and options for complementary policy action and research efforts, when they do not.     

Predicting mispricing of initial public offerings

This article investigates the ability of neural network models to predict mispricing of initial public offerings (IPOs). The aim is to improve the modest explanatory power of existing models that are based on the theory of asymmetrically informed economic agents surrounding post‐issue market value of IPOs. This study develops and compares linear regression and neural network models. The results show that modelling variable interactions and non‐linearity allows a potentially fruitful approach for stagging in IPOs. Neural networks have been criticized for being a black box; however, this paper shows that, by using sensitivity analysis, neural networks can provide a reasonable explanation of their predictive behaviour and direction of association between variables. Copyright © 2005 John Wiley & Sons, Ltd.