More (new) products,more problems? A systems perspective on increased capability deployment and organizational errors

The capabilities-based view postulates that organizational capabilities are a key driver of competitive advantage. However, while increasing the pace of deploying organizational capabilities, such as new product development (NPD), may enable alignment with changing environments, it may also have unintended consequences. In this study, we advance theory on these unintended consequences by investigating how the increased deployment of NPD capability leads to organizational errors. Borrowing from organizational research employing systems theory, we argue that an increase in NPD deployment may increase the likelihood of routine discoordination and, thus, the incidence of intra-firm and interfirm errors. However, we also proffer that firms can mitigate errors from increases in NPD capability deployment by engaging in distinct internal and external activities that enable the accumulation of knowledge on how to coordinate systemic change. We distinguish between internal and external errors, demonstrating that in the context of increased NPD deployments, internal voluntary investigations ameliorate internal manufacturing errors, while supplier alliances mitigate outsourced component errors. We find support for our predictions using data from new product introductions and recalls in the U.S. automotive industry. This study sheds light on the tension inherent to accelerating the deployment of patterned organizational activities and suggests that the outcomes of deploying an organizational capability are best viewed holistically within the milieu of organizational systems the capability spans.     

An empirical comparison of two approaches for CDPCA in high-dimensional data

Statistical Methods & Applications - Modified principal component analysis techniques, specially those yielding sparse solutions, are attractive due to its usefulness for interpretation...     

The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe

Social Indicators Research - To study the Europeans’ perception on the economic conditions, a model that combine Multiple Indicators Multiple Causes (MIMIC) and Combination of Uniform and...     

The Principal Statistical Sources for the Labour Market in Italy

ABSTRACT: The state of disequilibrium which the labour market in Italy (as in all the major industrialised countries) presents, has been the centre of debate in political and economic circles for many years now. How should this disequilibrium be interpreted, considering the complexity of the phenomena found in the labour area? Can they be modeled into global explanatory schemas of general economic theory? The authors believe the complexity of these phenomena can neither be ignored nor simplified, but accepted as a distinguishing feature of the labour market, and thus have to be interpreted on the basis of numerous and often contradictory control variables. This paper hence outlines the principle sources of Italian labour market data available, in order to provide a rational and critical guide to interpreting the available indicators. The sources examined are both institutional (the ISTAT and Ministry of Labour surveys) and private (the employers associations of Confindustria, Assolombarda and Federmec-canica). The paper outlines the areas covered, the methodology, and the qualities and drawbacks that these surveys present.     

Wages and Unemployment in Italy,a Long Term Perspective

ABSTRACT: This paper traces a long-term perspective of the relationship between wages and unemployment in the Italian economy from the end of the fifties to the mid-eighties. During this period, the rate of unemployment exhibited three distinct time profiles. After a cyclical episode from around 1958 to the mid-sixties, the unemployment rates changed very little for a decade, showing only mild fluctuations until 1975. Since then, unemployment has been increasing steadily, and in 1987 it exceeded 12|X% of the labour force. The aim of this paper is not to provide a new interpretation of facts, but rather to assess whether, and when, wage pressure has represented a significant factor in the evolution of unemployment. The main conclusion of the paper is that the considerable rise in unemployment observed since the mid-70s is part of a long term evolution, and that in the long-run wages are not exogenous. Though there have been periods of exogenous wage push temporarily affecting unemployment, the argument that the continuous rise in unemployment depends on inappropriate real wages has no empirical content.     

Economic versus psychological forecasting. Evidence from consumer confidence surveys

Permanent and widespread psychological biases affect both the subjective probability of future economic events and their retrospective interpretation. They may give rise to a systematic gap between (over-critical) judgments and (over-optimistic) expectations – the “forecast” error. When things go bad, then, psychology suggests that people tend to become particularly bullish, amplifying the forecast error. Also, psychology argues that personal/future conditions are systematically perceived to be better than the aggregate/past ones. All this sharply contrasts with standard economic assumptions. Evidence from a unique dataset covering 10 European countries over 22 years confirms the presence of structural psychologically driven distortions in people’s judgments and expectations formation.     

Large-scale commonness is the best predictor of bird species presence in European cities

Urban Ecosystems - Urban bird communities are homogenized across large spatial scales, suggesting that the urban environment acts as an environmental filter. We hypothesize that large scale...     

Adaptive multiple importance sampling for Gaussian processes

In applications of Gaussian processes (GPs) where quantification of uncertainty is a strict requirement, it is necessary to accurately characterize the posterior distribution over Gaussian process covariance parameters. This is normally done by means of standard Markov chain Monte Carlo (MCMC) algorithms, which require repeated expensive calculations involving the marginal likelihood. Motivated by the desire to avoid the inefficiencies of MCMC algorithms rejecting a considerable amount of expensive proposals, this paper develops an alternative inference framework based on adaptive multiple importance sampling (AMIS). In particular, this paper studies the application of AMIS for GPs in the case of a Gaussian likelihood, and proposes a novel pseudo-marginal-based AMIS algorithm for non-Gaussian likelihoods, where the marginal likelihood is unbiasedly estimated. The results suggest that the proposed framework outperforms MCMC-based inference of covariance parameters in a wide range of scenarios.     

From “illegality” to Tolerance and Beyond: Irregular Immigration as a Selective and Dynamic Process

Immigration defined as “illegal” is a typical area where the dominant representations differ from social phenomena. Starting from this point, this article deals with two issues. The first is the selective treatment of irregular immigration by receiving societies. Diverse interests and social representations of irregular immigration tend to redefine it in different ways: formal authorization and social recognition should be distinguished, and they can go in different directions. Their intersection determines four cases: exclusion, stigmatization, tolerance, integration. The second, and related, issue is the easier transition to a legal status of some irregular migrants, especially those who encounter some forms of tolerance in receiving societies. Three devices of regularization will be identified and discussed: deservingness; liberal legalization; victimization. In regard to processes of acceptance and legalization, the action of various intermediaries between the receiving societies and irregular immigrants will be highlighted.