Industrial clusters and the competitiveness of The Netherlands

Summary In this contribution the application to The Netherlands of Michael Porter's new method for assessing the competitiveness of a nation is presented. Special attention is given to the clustering of Dutch industries, their geographical scope and the integration of services. On this basis we assessed Porter's approach. Our conclusion is that the clustering method is a valuable tool but may be improved upon, and that too much and one-sided emphasis is put on national specificities.     

BANK PRIVATIZATION AND CONVERGENCE OF PERFORMANCE: INTERNATIONAL EVIDENCE

We trace the extent of performance deviation of privatized banks from established private banks in 30 countries from 1994 to 2005 and investigate the role of bank regulatory and supervisory norms, market competition, ownership structure, deposit insurance scheme, and governance structure affecting the deviation. Evidence shows that privatization does improve the performance of banks in the first year of being privatized, but performance gradually declines, which is consistent with the government restructuring argument before the privatization. Governance, foreign ownership, banking freedom (regulations), and the deposit insurance scheme in respective economies are found to affect performance deviation significantly.     

A Study of the Attitude toward Convergent Products: A Focus on the Consumer Perception of Functionalities

The convergent product is an increasingly important phenomenon in the marketplace. The convergent product allows the developer to include more and more diverse functionalities into their products, which can satisfy a broad range of consumer needs. However, failures of convergent products arouse the need to understand its functionalities, and the optimal combination of functionalities and their relationships to attitude and purchase intention. In addition, because convergent product has the potential to offer more diverse functionality, we consider if this will have impacts on instrumental and emotional needs fulfillment and attitude and purchase intention. Additionally, consumer innovativeness was examined to ascertain if there were differences among consumers on their classification of the functionalities, or if it will moderate functional diversity, needs fulfillment, and product attitude. Using the Kano model, this study examined the nature of these relationships by examining the functionalities of a smartphone. Overall, our results show that the convergent products that include functionalities from two of the three categories of the Kano model, must‐have and attractive, were rated more positively. Consumer innovativeness differences were found. Consumers with high innovativeness considered must‐have and one‐dimensional functionalities the most important, and consumers with low innovativeness considered all three important, although one‐dimensional functionalities were considered significantly less important. Although increasing functional diversity positively raises product attitude and purchase intention, it tends to raise emotional needs fulfillment only once instrumental needs have been met, especially for respondents showing low innovativeness. The findings should arouse interest about factors that should not be overlooked when developing new convergent products.     

Social learning in networks: a Quantal Response Equilibrium analysis of experimental data

Individuals living in society are bound together by a social network and, in many social and economic situations, individuals learn by observing the behavior of others in their local environment. This process is called social learning. Learning in incomplete networks, where different individuals have different information, is especially challenging: because of the lack of common knowledge individuals must draw inferences about the actions others have observed, as well as about their private information. This paper reports an experimental investigation of learning in three-person networks and uses the theoretical framework of Gale and Kariv (Games Econ Behav 45:329–346, 2003) to interpret the data generated by the experiments. The family of three-person networks includes several non-trivial architectures, each of which gives rise to its own distinctive learning patterns. To test the usefulness of the theory in interpreting the data, we adapt the Quantal Response Equilibrium (QRE) model of Mckelvey and Palfrey (Games Econ Behav 10:6–38, 1995; Exp Econ 1:9–41, 1998). We find that the theory can account for the behavior observed in the laboratory in a variety of networks and informational settings. This provides important support for the use of QRE to interpret experimental data.     

Cross redundancy and sensitivity in DEA models

Data envelopment analysis (DEA) measures the efficiency of each decision making unit (DMU) by maximizing the ratio of virtual output to virtual input with the constraint that the ratio does not exceed one for each DMU. In the case that one output variable has a linear dependence (conic dependence, to be precise) with the other output variables, it can be hypothesized that the addition or deletion of such an output variable would not change the efficiency estimates. This is also the case for input variables. However, in the case that a certain set of input and output variables is linearly dependent, the effect of such a dependency on DEA is not clear. In this paper, we call such a dependency a cross redundancy and examine the effect of a cross redundancy on DEA. We prove that the addition or deletion of a cross-redundant variable does not affect the efficiency estimates yielded by the CCR or BCC models. Furthermore, we present a sensitivity analysis to examine the effect of an imperfect cross redundancy on DEA by using accounting data obtained from United States exchange-listed companies.