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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.

The United States and European countries have for a long time affirmed non-pecuniary loss as a proper title of damages. On both sides of the Atlantic in the preceding decades, we have witnessed an escalation in the monetary amounts awarded for the non-pecuniary component of damages in cases of personal injury.¹ As a result of this escalation, the countries referred to have embarked on a shrill debate in trying to decipher a definition of their concrete notions of non-pecuniary damages² and on their awarding methods.³

I reexamine the conflicting results in Frank, Lynch, and Rego (2009) and Lennox, Lisowsky, and Pittman (2013). Frank et al. (2009) conclude that firms can manage book income upward and taxable income downward in the same period, implying a positive relation between aggressive book and tax reporting. Lennox et al. (2013) conclude the relation is negative and aggressive book reporting informs users that aggressive tax reporting is less likely. I identify four key differences in the research designs across the two studies, including measures of aggressive book reporting, measures of aggressive tax reporting, sample time periods, and empirical models. I systematically examine whether each of these differences is responsible for the conflicting results by altering the key difference while holding other factors as constant as possible. I find the relation between aggressive book and tax reporting is driven by the measure of aggressive book reporting, as the relation is positive for some subsets of firms and negative for others. Firms accused of financial statement fraud have a negative relation while nonfraud firms exhibit a positive relation. Using discretionary accruals, I also look for, but do not find a “pivot point” in the relation between aggressive book and tax reporting. I provide a better understanding of the relation between aggressive book and tax reporting by identifying research design choices that are responsible for prior results. I show that measures of both discretionary accruals and financial statement fraud are necessary to gain a more complete picture of the relation between aggressive book and tax reporting.

Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.

Methods/approach – The authors describe a customized web-crawler that was developed for the purpose of collecting, classifying, and interpreting extremist content online and on a large scale, followed by an overview of a relatively novel machine learning tool, sentiment analysis, which has sparked the interest of some researchers in the field of terrorism and extremism studies. The authors conclude with a discussion of what they believe is the future applicability of sentiment analysis within the online political violence research domain.

Findings – In order to gain a broader understanding of online extremism, or to improve the means by which researchers and practitioners “search for a needle in a haystack,” the authors recommend that social scientists continue to collaborate with computer scientists, combining sentiment analysis software with other classification tools and research methods, as well as validate sentiment analysis programs and adapt sentiment analysis software to new and evolving radical online spaces.

Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

The purpose of this study is to conduct a comparative analysis of the economic determinants of the compensation for chief executive officers (CEOs) between the pre- and post-financial crisis periods. To conduct the comparative analysis, the authors consider five years before and five years after the financial crisis of 2008. The authors use the data from the US financial service institutions and run separate regressions for the pre- and post-crisis periods to check if there is any significant difference in the economic determinants of executive compensation before and after the financial crisis. The authors find that total compensation and its incentive components decreased significantly in the post-crisis period. In the pre-crisis period, total compensation was determined by stock performance, accounting profit, growth, and leverage, whereas in the post-crisis period stock returns and leverage are the major factors influencing total compensation. The authors also find that firms’ leverage negatively influences the sensitivity of the pay for performance, but the influence of leverage on pay for performance is weaker in the post-crisis period. Our research is significant in the context of the US economy, the regulatory reforms of financial institutions, and the perspectives of the executive compensations. This is the first study that compares the relationship between compensation and firm performance over the pre- and post-crisis periods. It is an explicit attempt to develop a theoretical understanding of the compensation/performance relationship for the financial industry, which is blamed for the financial crisis and is affected by the Dodd–Frank regulation after the crisis.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.