An Empirical Investigation of the Predictors of Executive Career Success

The present study examined the degree to which demographic, human capital,motivational, organizational, and industry/region variables predicted executive career success. Career success was assumed to comprise objective (pay, ascendancy) and subjective (job satisfaction, career satisfaction) elements. Results obtained from a sample of 1,388 U.S.executives suggested that demographic, human capital, motivational, and organizational variables explained significant variance in objective career success and in career satisfaction. Particularly interesting were findings that educational level, quality, prestige, and degree type all predicted financial success. In contrast, only the motivational and organizational variables explained significant amounts of variance in job satisfaction. These findings suggest that the variables that lead to objective career success often are quite different from those that lead to subjectively defined success

Entrepreneurial orientation and international performance: the moderating effect of decision-making rationality

This research examines how entrepreneurial orientation (EO) influences international performance (IP) of the firm taking into account the moderating effect of decision-making rationality (DR) on the EO–IP association. Such an investigation is significant because it considers the interplay of strategic decision-making processes supported by the bounded rationality concept in the entrepreneurship field. Drawing from a study on activities of 216 firms in the United States and United Kingdom, the evidence suggests that DR positively moderates the EO–IP association. The findings suggest that managers can improve IP by combining EO with rational (analytical) processes in their strategic decisions

Seeking out non-public information : sell-side analysts and the freedom of information act

A number of sell-side healthcare analysts gain access to information outside the purview of management through Freedom of Information Act requests to the Food and Drug Administration for records on factory inspections, complaints, and drug and medical device applications. Using a difference-in-differences methodology, we find that buy (sell) recommendations and upgrades (downgrades) earn higher (lower) stock returns over the year following the receipt of FDA records. We also examine the type of information revealed in FDA factory inspection reports, and find that analysts are less likely to downgrade and are less pessimistic in their recommendations than the consensus recommendation when the information contained in the FDA report is not particularly severe. Our findings are consistent with a subset of analysts utilizing non-public information channels independent of management to gain value-relevant information about their covered firms

A systematic review of software development cost estimation studies

This paper aims to provide a basis for the improvement of software estimation research through a systematic review of previous work. The review identifies 304 software cost estimation papers in 76 journals and classifies the papers according to research topic, estimation approach, research approach, study context and data set. A web-based library of these cost estimation papers is provided to ease the identification of relevant estimation research results. The review results combined with other knowledge provide support for recommendations for future software cost estimation research, including: 1) Increase the breadth of the search for relevant studies, 2) Search manually for relevant papers within a carefully selected set of journals when completeness is essential, 3) Conduct more studies on estimation methods commonly used by the software industry, and, 4) Increase the awareness of how properties of the data sets impact the results when evaluating estimation methods

Empirical Capital Structure Research: New Ideas, Recent Evidence, and Methodological Issues

Even 50 years after Modigliani/Miller’s irrelevance theorem, the basic question of how firms choose their capital structure remains unclear. This survey paper aims at summarizing and discussing corresponding recent developments in empirical capital structure research, which, in our view, are promising for future research. We first present some “stylized facts” on capital structure issues. The focus of the discussion is set on studies taking on the key idea to differentiate between competing theories by testing for firm adjustment behavior following shocks to their capital structure. In addition, we discuss empirical studies examining additional factors that may influence capital structure decisions, but have gained only recently attention in the literature (like corporate ratings or irrational managers). Since some of the available contradictory evidence on capital structure issues might be explained by econometric challenges due to the typical data structure, we also discuss methodological issues like panel data, endogeneity, and partial adjustment models in the capital structure context. Finally, we illustrate the methodological and empirical aspects discussed in this survey by providing corresponding evidence for exchange-listed German companies in the period 1987-2006