1,720,999 research outputs found
Overview about bias in customer satisfaction surveys and focus on self-selection error
No full textThe present paper provides an overview of the main types of surveys carried
out for customer satisfaction analyses. In order to carry out these surveys it is
possible to plan a census or select a sample. The higher the accuracy of the survey,
the more reliable the results of the analysis. For this very reason, researchers pay
special attention to surveys with bias due to non sampling errors, in particular to
self-selection errors. These phenomena are very frequent especially in web surveys.
Some methods we consider are able to correct the self-selection bias. In literature
these methods have been suggested and applied in other fields as well. Here we
adapt and employ these techniques as far as customer-satisfaction survey data are
concerne
Country dispersion, risk and international performance : an analysis of a sample of Italian manufacturing SMEs
No full textStatistical analysis of the country selection for Italian SMEs
No full textWhen the choice of one firm's internationalisation regards the establishment of a subsidiary in a foreign country, then internationalization is a very complex process involving many variables. Some of these variables concern the internal organization of the firm - as for example its economic status, growth politics and managerial abilities. Other variables instead are external and lie basically in the characteristicss of the country the firm chooses to open its subsidiary. The internationalization processes, which have mainly drawn researchers' interest, are about large firms; while the internationalization of SMEs (with less than 500 employees), has been less investigated so far. Moreover, the internationalization of SMEs is more hazardous, because these companies are less supported by the governmental authority, so the choice of the country where to open a new subsidiary represents a key element for the success of the firm. The aim of this paper is twofold. On the one hand, we will examine the features of the foreign countries in which Italian SMEs formerly established subsidiaries; on the other hand, we will investigated the consequences of SMEs internationalisation through their economic performance. Through the joint analysis of two variable sets (about countries and about firms) and through the statistical method we are going to implement in the following (hierarchical mixed logit model), we will be able to describe both the most signi cant characteristics of the firms that already opened subsidiaries abroad and the characteristics of the country where the opening took place. Our first step will be selecting the variables for the two datasets, while the second step will be choosing the most suitable model for our purposes. The analysis concerns about 400 firms that started an internationalisation process before 200
Statistical analysis of the internationalisation of Italian small and medium sized enterprises
No full textWhen the choice of one rm's internationalisation regards the establishment of a sub-
sidiary in a foreign country, then internationalization is a very complex process in-
volving many variables. Some of them regard the features of the foreign countries in
which Italian Small and Medium sized Enterprises (SMEs) formerly established sub-
sidiaries; others regard the consequences of SMEs internationalisation through their
economic performance. Through the joint analysis of two variable sets (about coun-
tries and rms) and through the statistical method (the Bayesian hierarchical mixed
logit model) we are going to implement, we will be able to describe both the most signi -
cant characteristics of the rms that opened subsidiaries abroad and the characteristics
of the country where the opening took place. The analysis concerns about 400 rms
that started an internationalisation process before 2004
Errors in customer satisfaction surveys and methods to correct self-selection bias
No full textThis paper provides an overview of the main types of surveys carried out for customer satisfaction analysis according to the dimension of the firm and to the data collection method. Different errors can be generated by these methods, causing biases in the results. We focus on the self-selection error and we employ three methods to correct the bias associated to it. A simulation underlines the performances of the three methodologies
Measuring operational risk in a Bayesian framework
No full textWe analyze the relationship between a firm’s export status and its product innovation activity by using a rich firm-level survey on Italian manufacturing. We find that the positive association between exporting
and product innovativeness is robust to controlling for many sources of firm’s observable heterogeneity. Use of an instrumental variables
strategy allows us to conclude that this association can be qualified
as a causal relation: firm’s export status induces product innovations
(learning by exporting). This effect emerges over and above the correlation
accounted for by some of the main channels of influence commonly
emphasized by the existing literature. In the light of this evidence, we discuss the sources from which the residual effect of exporting on product innovation that we observe may originat
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