Between Supply and Demand: Intermediaries,Social Networks and the Construction of Quality in the Italian Wine Industry

The working of markets implies decisions basedon incomplete and costly information; as aconsequence, the mechanisms through which thisinformation is produced and made available toactors are very important. Most prominent amongsuch mechanisms is the role of intermediaryactors that do not make production orconsumption choices, but influence thesechoices by sorting products into categories. Wefocus on intermediary actors that expressevaluations of products, as a mechanism thatfosters the convergence of supply and demand inexchanges. Personal social networks thatconnect supply and demand perform this rolewhen exchanges are bound to narrow contexts.Intermediaries replace these ties in massmarkets; in such broader context socialnetworks are found here to play an importantrole in the relationships between intermediaryactors and the supply side of the market.The empirical context of our work is theItalian wine industry, characterized by theimportance of wine guides that influence thebehaviors of producers and consumers byevaluating the quality of wines. Theambiguities intrinsic to this evaluationdescribe the grey area within which differentdefinitions of quality are equally legitimate.We analyze the quality ratings of 967 Italianwines reported by the two most prominentItalian wine guides in the period 1996–2000.Our goal is to show that, given the intrinsicambiguity involved in wine evaluation, thereare systematic differences in the scoresassigned to products, and that the pattern ofthese differences reflects variations in thesocial networks that connect the two guides tothe supply side of the market.     

An integrated tool to support engineers for WMSDs risk assessment during the assembly line balancing

This paper wants to present an integrated approach to Line Balancing and Risk Assessment and a Software Tool named ErgoAnalysis that makes it easy to control the whole production process and produces a Risk Index for the actual work tasks in an Assembly Line. Assembly Line Balancing, or simply Line Balancing, is the problem of assigning operations to workstations along an assembly line, in such a way that the assignment be optimal in some sense. Assembly lines are characterized by production constraints and restrictions due to several aspects such as the nature of the product and the flow of orders. To be able to respond effectively to the needs of production, companies need to frequently change the workload and production models. Each manufacturing process might be quite different from another. To optimize very specific operations, assembly line balancing might utilize a number of methods and the Engineer must consider ergonomic constraints, in order to reduce the risk of WMDSs. Risk Assessment may result very expensive because the Engineer must evaluate it at every change. ErgoAnalysis can reduce cost and improve effectiveness in Risk Assessment during the Line Balancing.     

Hazard identification and pre-map with a simple specific tool: synthesis of application experience in handicrafts in various productive sectors

In August 2009, an international group was founded with the task of developing a "toolkit for MSD prevention" under the IEA and in collaboration with the World Health Organization.According to the ISO standard 11228 series and the new Draft ISO TR 12259 "Application document guides for the potential user", our group developed a preliminary "mapping" methodology of occupational hazards in the craft industry, supported by software (Excel?, free download on: www.epmresearch.org).The possible users of toolkits are: members of health and safety committees; health and safety representatives; line supervisors; foremen; workers; government representatives; health workers providing basic occupational health services; occupational health and safety specialists.The proposed methodology, using specific key enters and quick assessment criteria, allows a simple ergonomics hazards identification and risk estimation to be made. It is thus possible to decide for which occupational hazards a more exhaustive risk assessment will be necessary and which occupational consultant should be involved (occupational physician, safety engineer, industrial hygienist, etc.).The methodology has been applied in different situations of small and medium craftsmanship Italian enterprises: leather goods, food, technical dental work, production of artistic ceramics and stained glass, beekeeping activities. The results are synthetically reported and discussed in this paper.     

A Kandinsky Perspective,Dissertation on the Social Aesthetics of Georg Simmel

Simmel and Kandinsky perspectives, in the light of parallel history, intend to be the starting point of an analysis of creativity and complexity. Social aesthetics cannot be observed alone, in this sense the term seems to be double bound; the social probably cannot operate in a significant way without the aesthetic and vice versa. Aesthetics is a sociological experience as well; therefore, aesthetics seems to be in precarious position because of its own position as a result of the information culture at large. Social change takes the artist towards a more complex life, and left without objective truth, but not without informal form, keeping its sociological form of expression and function. In this way, Simmel's theoretical premises and the complex representation of art in Kandinsky, seems to represent a sort of example to begin with, an historical double-exposure or cross-fertilization.

Don't be afraid of Life Alyosha, in, The Brothers Karamazov,

Fyodor Dostoyevsky     

Assessing Risk Factors in the Organic Control System: Evidence from Inspection Data in Italy

Certification is an essential feature in organic farming, and it is based on inspections to verify compliance with respect to European Council Regulation—EC Reg. No 834/2007. A risk‐based approach to noncompliance that alerts the control bodies to activate planning inspections would contribute to a more efficient and cost‐effective certification system. An analysis of factors that can affect the probability of noncompliance in organic farming has thus been developed. This article examines the application of zero‐inflated count data models to farm‐level panel data from inspection results and sanctions obtained from the Ethical and Environmental Certification Institute, one of the main control bodies in Italy. We tested many a priori hypotheses related to the risk of noncompliance. We find evidence of an important role for past noncompliant behavior in predicting future noncompliance, while farm size and the occurrence of livestock also have roles in an increased probability of noncompliance. We conclude the article proposing that an efficient risk‐based inspection system should be designed, weighting up the known probability of occurrence of a given noncompliance according to the severity of its impact.     

Which are the Factors Influencing Innovation Performances? Evidence from Italian Cohesion Policy

Our paper aims at evaluating the role that the local administrations play on Italian regional innovation performance, by using a revised version of Regional Innovation Scoreboard. Carrying out a panel data analysis and a logistic regression, the analysis is based on a combined approach towards institutions, involving socio-political aspects, considered by the institutional quality index, and the capability of regional administrators of expending Structural and Cohesion Funds, by a quantitative index. Firstly, a panel data analysis helped us to highlight the role of institutions and which sectoral themes of EU investments affected the most regional innovative performances in the time span 2007-2015. Secondly, the logistic regression captures which investment is more likely to affect innovation performances within Italian Regions. The results underline that major effect on innovation performance derive from the combined effect of high quality institutions and efficient public expenditure.

     

Organizational Learning under Organizational Impermanence: Collaborative Ties in Film Project Firms

In the last two decades a lot of research has been devoted to unveiling the processes through which organizations learn and store knowledge. This research is typically concerned with organizations lastingly engaged in the provision of goods or services. Permanency is usually presumed in order for the encoding of inferences from history to take place. But what if organizational permanency cannot be assumed ex-ante? Project firms represent an interesting case in point. A project firm is a transient form of organization that ceases to exist as soon as its single target is achieved, as such it does not exhibit stable structures nor does it exhibit ostensible history-based paths upon which to build its choices and nurture its organizational knowledge. This apparent paradox can be resolved, in part, by extending the view from the isolated project to the relational context in which project firms operate. Using longitudinal data from the U.S. feature film industry, we show that the process of organizational formation and dissolution that characterizes this context is underpinned by patterns of enduring collaborations among interdependent industry participants. We build on these findings to speculate on processes of learning and remembering that interpenetrate project firms’ boundaries, by being embedded within a texture of stable interpersonal ties.     

Estimation,prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times

We propose a class of Bayesian semiparametric mixed-effects models; its distinctive feature is the randomness of the grouping of observations, which can be inferred from the data. The model can be viewed under a more natural perspective, as a Bayesian semiparametric regression model on the log-scale; hence, in the original scale, the error is a mixture of Weibull densities mixed on both parameters by a normalized generalized gamma random measure, encompassing the Dirichlet process. As an estimate of the posterior distribution of the clustering of the random-effects parameters, we consider the partition minimizing the posterior expectation of a suitable class of loss functions. As a merely illustrative application of our model we consider a Kevlar fibre lifetime dataset (with censoring). We implement an MCMC scheme, obtaining posterior credibility intervals for the predictive distributions and for the quantiles of the failure times under different stress levels. Compared to a previous parametric Bayesian analysis, we obtain narrower credibility intervals and a better fit to the data. We found that there are three main clusters among the random-effects parameters, in accordance with previous frequentist analysis.     

Computational challenges and temporal dependence in Bayesian nonparametric models

Müller et al. (Stat Methods Appl, 2017) provide an excellent review of several classes of Bayesian nonparametric models which have found widespread application in a variety of contexts, successfully highlighting their flexibility in comparison with parametric families. Particular attention in the paper is dedicated to modelling spatial dependence. Here we contribute by concisely discussing general computational challenges which arise with posterior inference with Bayesian nonparametric models and certain aspects of modelling temporal dependence.