Using the Reversible Jump MCMC Procedure for Identifying and Estimating Univariate TAR Models

One way that has been used for identifying and estimating threshold autoregressive (TAR) models for nonlinear time series follows the Markov chain Monte Carlo (MCMC) approach via the Gibbs sampler. This route has major computational difficulties, specifically, in getting convergence to the parameter distributions. In this article, a new procedure for identifying a TAR model and for estimating its parameters is developed by following the reversible jump MCMC procedure. It is found that the proposed procedure conveys a Markov chain with convergence properties.     

Knowledge Creation within Industrial Systems

Intangible resources are the source of competitive advantage in theknowledge economy. Knowledge and intellectual capital within firms havegathered worldwide attention; theories and methods for knowledgecreation management have been developed for organizations and alliances.Economic reality shows the importance of industrial districts becausesocial systems in districts provide dynamic contexts of multifacetedrelationships. These dynamic contexts or district ba (Japanesefor place) enable firms to create and harness knowledge that resides innetwork relationships.The paper develops a theoretical frame of four kinds of district ba thatsupport four knowledge processes. Organizational networks within andbetween different district ba are conceptualized. The creationof knowledge within district ba is used to analyze differentlevels of interaction between firms in the same or different districtsand in the same or different industries. The case study of the JETROlocal-to-local program between Ishikawa prefecture in Japan and Como andVarese in Italy is used to illustrate the theoretical concepts. Districtba are used to analyze the knowledge creation dynamics withinand between districts and to identify possible strategies for districtgovernance.     

What happens if you single out? An experiment

We present an experiment investigating the effects of singling out an individual on trust and trustworthiness. We find that (a) trustworthiness falls if there is a singled out subject; (b) non-singled out subjects discriminate against the singled out subject when they are not responsible of the distinct status of this person; (c) under a negative frame, the singled out subject returns significantly less; (d) under a positive frame, the singled out subject behaves bimodally, either selecting very low or very high return rates. Overall, singling out induces a negligible effect on trust but is potentially disruptive for trustworthiness.     

Teaching examples for the design of experiments: geographical sensitivity and the self‐fulfilling prophecy

Many scientists believe that small experiments, guided by scientific intuition, are simpler and more efficient than design of experiments. This belief is strong and persists even in the face of data demonstrating that it is clearly wrong. In this paper, we present two powerful teaching examples illustrating the dangers of small experiments guided by scientific intuition. We describe two, simple, two‐dimensional spaces. These two spaces give rise to, and at the same time appear to generate supporting data for, scientific intuitions that are deeply flawed or wholly incorrect. We find these spaces useful in unfreezing scientific thinking and challenging the misplaced confidence in scientific intuition. Copyright © 2015 John Wiley & Sons, Ltd.     

Georg Simmel from a different standpoint. Cultural variants and the limits of interpretation

Georg Simmel was recently included among sociology's founding fathers, after years of neglect. This article contends that it happened because Western culture is facing a deep crisis and is no longer able to ostracize authors who think along different lines. Simmel's success proves that the cultural variant that dominated the West for three centuries is losing its supremacy and can no longer cope with thinkers belonging to alternative variants. On the basis of Dumont's work on European culture and the German variant it is possible to deconstruct the main issues that were raised against Simmel. They turn out to stem from prejudice and misunderstanding, as those who criticized Simmel either could not understand his Weltanschauung or did not share it and considered it a threat to the modern way of life.     

Measuring the adoption of innovation. A typology of EU countries based on the Innovation Survey

Based on the Community Innovation Survey, this paper suggests new indicators of innovation adoption. The magnitude of innovation adoption is assessed for 22 EU countries and different industries. The most striking feature is the correlation between the innovation activities and the adoption rate. Countries with strong R&D and human resources and high innovation output exhibit the highest adoption rates. This supports the idea that innovation adoption requires an absorption capability. In addition, the specificities of each country regarding the prevailing types of innovation and adoption (product or process, cooperation-based adoption or internal adoption) allow us to draw up a typology of the EU countries, for which a specific geographical pattern is observed.     

MDCgo takes up the association/correlation challenge for grouped ordinal data

AStA Advances in Statistical Analysis - The subjective assessment of quality of life, personal skills and the agreement with a certain opinion are common issues in clinical, social, behavioral and...     

Logistic Game™: learning by doing and knowledge-sharing

The aim of this article is to define a new simulation game in operation management called Logistic Game?. The main objectives are to introduce a new simulation game approach in solving the different correlated subsystems based on ‘visual interactive learning’ and to verify its positive effects on the learning process with respect to the usual simulation games. The game is based on an inside plant virtual supply chain simulation and copes with the educational challenges of teaching Industrial Logistics in a new, effective way. By applying a visual interactive simulation package, the game creates a virtual dynamic scenario directly visible by participants, with an improvement of experimentation and conceptualisation phases, and offers several logistic decisions and their strategic links from a holistic point of view. The challenge goes beyond a pure theoretical setting and students learn strategies and gain experience directly by operating in a virtual supply chain and sharing knowledge. The Logistic Game has been used to train more then 300 students since December 2006 in three different Italian workshops and has been designed to encourage the employment selection process by the companies involved.     

Exploring the impact of motivations on the attraction of innovation roles in open innovation web-based platforms

Recently, a large number of new innovative enterprises engaged in different competitive markets by promoting innovation both in products and in services through open innovation web-based platforms, which allow for the collaboration of individual users and companies and for so-called crowdsourcing. A key issue concerns the identification of the most important motivations that could attract users with a specific role to proactively participate and contribute to the open and collaborative innovation processes. This article, after highlighting the theoretical background, grounded on large body of psychology and sociology literature on the motivation behind collaboration, discusses the results of the analysis of 26 open innovation web-based platforms based on a multiple research methodology (qualitative empirical study, factor analysis and multi-dimensional scaling). It also discusses the effects of ‘motivational systems’ and platform models on the attraction of the individuals characterised by different innovation roles.