Changing requirements and mental workload factors in mobile multi‐locational work

Working in multiple locations creates continuously changing physical, virtual and social settings for mobile employees. This paper shows, by exploring locally and globally moving employees, that changing environments arouse varying perceptions of both well‐being and stress. The identification of mental workload factors is necessary both for working in and managing mobile, multi‐locational work.     

Three Factors to Signal Non‐Response Bias With Applications to Categorical Auxiliary Variables

Non‐response causes bias in survey estimates. The unknown bias can be reduced, for example as in this paper by the use of a calibration estimator built on powerful auxiliary information. Still, some bias will always remain. A bias reduction indicator is proposed and expressed as a product of three factors reflecting familiar statistical ideas. These factors provide a useful perspective on the components that constitute non‐response bias in estimates. To illustrate the indicator, we focus on the important case with information defined by one or more categorical auxiliary variables, each expressed by two or more properties or traits. Together, the auxiliary variables may represent a large number of traits, more or less important for bias reduction. An examination of the three factors of the bias reduction indicator brings the insight that the ultimate auxiliary vector for calibration need not or should not contain all available traits; some are unimportant or detrimental to bias reduction. The question becomes one of selection of traits, not of complete auxiliary variables. Empirical examples are given, and a stepwise procedure for selecting important traits is proposed.     

Teaching Macroeconomics After the Crisis: A Survey Among Undergraduate Instructors in Europe and the United States

The Great Recession raised questions of what and how macroeconomists teach at academic institutions around the globe, and what changes in the macroeconomics curriculum should be made. The authors conducted a survey of undergraduate macroeconomics instructors affiliated with colleges and universities in Europe and the United States at the end of 2010. The results show that courses feature very much the same lineups of models as they did before the crisis. A notable exception concerns public debt dynamics, which receives considerably more emphasis. The finer fabric of undergraduate macroeconomics teaching, however, shows substantial shifts: A host of topics related to financial markets has entered the curriculum, and there is more interest in economic history, the history of economic thought, and case studies.     

Mitigating theoretical and coverage biases in the design of theory-building research: an example from international entrepreneurship

In this paper, we advance a three-stage theory-building framework to assist scholars in addressing theoretical and coverage biases by means of the appropriate design of cross-domain theory-building research. In our discussion, we use an example from research in international entrepreneurship, which has been emerging as a cross-domain area for the entrepreneurship and international business research communities since the mid-1990s. Theoretical bias can stem from the situation where the conceptualisation of a phenomenon whose research is currently emerging and depends upon several of the established disciplines of social science and their sub-domains, is in fact dominated by the theoretical approaches of a single domain. As to the coverage bias, the somewhat novel research domain of international entrepreneurship provides us with a means to illustrate how research in an emerging domain tends to focus on positive growth only and rarely takes appropriately into account companies that fare less well; for instance, accounting for survivor bias would require that scholars carefully acknowledge firms that go out of business for one reason or another. Observations from a longitudinal, multiple-case study research on the de-internationalisation of small high-technology firms is used to exemplify the structure of our framework.