Time and process in business network research

This Special Issue of Industrial Marketing Management brings together a range of articles by authors who have undertaken the difficult task of researching time and process in business networks. Understanding interaction processes within a business relationship and network perspective requires the elaboration of time, the central construct by which humans grasp and comprehend change. As an introduction to the articles we present the concept of human time and delineate accordingly three methodological approaches available for the study of network processes. We also introduce the authors' contributions to the special issue that broadly divide into two groups: those that deal with methodological issues concerning the study of processes in business networks and those that consider the role of time and timing for studying business processes.     

Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis

Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.First version received: March 2003 / Final version received: June 2004We like to thank two referees for their very helpful comments on a previous version of this paper. The usual disclaimer applies.