Price Dispersion and the Role of Stores*

In this paper, we study price dispersion in the Norwegian retail market for 766 products across 4,297 stores over 60 months. Price dispersion for homogeneous products is significant and persistent, with a coefficient of variation of 37 percent for the median product. Price dispersion differs between product categories and over time. Store heterogeneity accounts for 30 percent of the observed variation in prices for the median product–month, and for around 50 percent for the sample as a whole. Price dispersion is still prevalent after correcting for store heterogeneity.     

Foreign direct investment and growth in East Asia: lessons for Indonesia

Foreign direct investment (FDI) has been important in the growth and global integration of developing economies. Both Northeast and Southeast Asia, especially the latter, have been part of this development, with increasing inflows of FDI and greater foreign participation in local economies. However, Indonesia has been an outlier within the region. Inflows of FDI have been lower to Indonesia than to other countries, especially in manufacturing, and they have been lower than could be expected from Indonesia's size, population and other country characteristics. We show that the inflows that have occurred have benefited Indonesia, and use the East Asian experience to identify measures that are likely to increase these flows. A relatively poor business environment, inefficient government institutions, low levels of education and poor infrastructure all seem to be important explanations for the low inflows of FDI to Indonesia.     

Statistical approximation of plane convex sets

Summary

Given a convex set F in the plane with a sufficiently smooth boundary we try to approximate it by polygons in the following way. Using some specified sampling procedure we pick out n points on the boundary. Through each such point we draw the tangent. Consider the polygon F*_n spanned by all these tangents. If n is large we would expect F*_n to be close to F. Measuring the deviation by the area of F*_n — F we will derive an asymptotic expression for this area when n becomes large. This expression can be used to choose the optimum sampling procedure in the sense of smallest asymptotic deviation.

The problem arose from a problem of statistical approximation in propositional calculus, see section 1.     

In-store demonstrations as a promotion tool

Retailers and manufacturers jointly do their best to influence in-store customer behavior. One promotional tool often used by the industry but rarely studied by academics is in-store demonstrations. In this article we look at when and how demonstrations work the best. Two large field experiments were run and the results indicate that in-store demonstrations are powerful tools to increase sales. Furthermore, the results from the experiments show that the effectiveness of the demonstrations vary widely depending on when they and how they are executed.     

Easy come, easy go

A growing number of experimental studies focus on the differences between the lab and the field. One important difference between many lab and field experiments is how the endowment is obtained. By conducting a dictator game experiment, we investigate the influences of windfall and earned endowment on behavior in the laboratory and in the field. We find subjects donate more in both environments if the endowment is a windfall gain. However, although the experimental design was intended to control for all effects other than environment, there are significant differences in behavior between the lab and the field for both windfall and earned endowment. This points to the importance of discussing the context when interpreting both laboratory and field experiment results as well as when conducting replication studies.     

Convergence and interdisciplinarity in innovation management: a review,critique, and future directions

Knowledge integration in the interstices between different disciplinary fields is becoming a critical challenge to innovation management. As disciplines converge into new hybrid fields, such as information and communication technology or nano-biotechnology, it ultimately creates winners and losers, be they new firms that displace incumbents or individual scientists better positioned to reap rewards from new targeted grants. While received literature recognizes the importance of interdisciplinarity, little is known about its theoretical and conceptual antecedents. To meet this challenge, we first review and critique the literature on interdisciplinarity from a knowledge-based perspective, and, second, identify challenges for innovation management and formulate implications for further research. In particular, we outline how individual and team-level heterogeneity should be addressed. By adopting such a micro-level perspective, innovation management can embrace heterogeneity and effectively unlock the true value of interdisciplinary knowledge.     

The tyranny of international index rankings

International index rankings are popular, but perhaps too persuasive. They emphasize country differences where similarity is the dominant feature. Rankings based on Doing Business, the Human Development Index and Freedom House can be misleading, not because of wrong indicators, but because the estimation of the scores ignores inherent uncertainty. Re-estimated with a method that captures this uncertainty, it becomes clear that ranking every adjacent country is a rather courageous activity.     

SCOR template—A simulation based dynamic supply chain analysis tool

The supply chain operations reference model model (SCOR) is developed and maintained by the Supply Chain Council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR template is a simulation based analysis tool, developed to capture the dynamics of supply chain operations. The first version of the SCOR template was presented in a previous article by Persson and Araldi (2009). Since the finalisation of the first article concerning the SCOR template, a second version of the SCOR template has been constructed and tested in at a case company; Alfa Laval at Ronneby, Sweden—a manufacturer of heat exchangers. Version 2 of the SCOR template is more complete than the previous version. More metrics were introduced and the return processes included. Emphasis has been on making supply chain analysis simple with the introduction of a new building block—the metric module. The case study at Alfa Laval has been based on data from a value stream mapping (VSM) and aimed at comparing different scenarios in the production networks for one specific product. The results of the comparison are one of the pieces of data that the company managers will use when deciding where to allocate production resources in the international production network.