A Conceptual Framework for Instilling a Global Mindset in Business Students

ABSTRACT

This article proposes a conceptual framework for instilling and fostering a global mindset among students of business in general and international business in particular. Students learning to become global managers must first have an open mindset and be aware of changes in themselves. When managers encounter problems at a global firm, they need to consider the unique situations that cause problems and create appropriate solutions. Different settings or environments require different approaches, reflecting the complexity of heterogeneity and indeterminacy in decision-making. We suggest pedagogical methods for teaching international business by instilling a global mindset in business students.     

Coauthorship in academic journals: Implications for international collaboration and alliances

Based on the knowledge-based resource theory of alliance, we analyze coauthorship collaboration. We find that (1) collaboration increases the impact of published articles; (2) articles with nonalphabetical author listing are associated with fewer citations; and (3) barriers to transferring knowledge lowers an article's impact, especially if authors do not take ownership over the article. Coauthors who do not act as if they were senior authors undermine coauthorship collaboration, resulting in lower citations on the article. Our results suggest that articles with alphabetical author listing receive more citations, questioning the norm in journals of some disciplines that advocate nonalphabetical author listing.     

Estimating Long-term Trends in Tropospheric Ozone Levels

This paper develops Bayesian methodology for estimating long-term trends in the daily maxima of tropospheric ozone. The methods are then applied to study long-term trends in ozone at six monitoring sites in the state of Texas. The methodology controls for the effects of meteorological variables because it is known that variables such as temperature, wind speed and humidity substantially affect the formation of tropospheric ozone. A semiparametric regression model is estimated in which a nonparametric trivariate surface is used to model the relationship between ozone and these meteorological variables because, while it is known that the relatinship is a complex nonlinear one, its functional form is unknown. The model also allows for the effects of wind direction and seasonality. The errors are modeled as an autoregression, which is methodologically challenging because the observations are unequally spaced over time. Each function in the model is represented as a linear combination of basis functions located at all of the design points. We also estimate an appropriate data transformation simulataneously with the functions. The functions are estimated nonparametrically by a Bayesian hierarchical model that uses indicator variables to allow a non-zero probability that the coefficient of each basis term is zero. The entire model, including the nonparametric surfaces, data transformation and autoregression for the unequally spaced errors, is estimated using a Markov chain Monte Carlo sampling scheme with a computationally efficient transition kernel for generating the indicator variables. The empirical results indicate that key meteorological variables explain most of the variation in daily ozone maxima through a nonlinear interaction and that their effects are consistent across the six sites. However, the estimated trends vary considerably from site to site, even within the same city.     

THE UNDERPRICING OF IPOS OF FINANCIAL INSTITUTIONS

This paper examines the underpricing of IPOs of financial institutions over the period 1983 to 1987. Based on a sample of 185 banks and savings and loan associations (including S&L conversions) and a control sample of 1,361 industrial firms, results indicate that in general IPOs of financial institutions are significantly less underpriced than those of the non-financial institutions. In particular, the IPOs of non-S&L conversion financial institutions are less underpriced than the IPOs of non-financial institutions.