Macroergomonics' contribution to the effectiveness of collaborative supply chains

This article presents a conceptual model that combines Macroergonomics and Supply chain. The authors combine their expertise on these individual topics, building on their previous research. The argument of the paper is that human factors are key to achieve effective supplier-customer collaboration. A conceptual model is presented, its elements and their interactions are explained. The Content-Context-Process is applied as a departing point to this model. Macroergonomics aspects considered are: a systemic approach, participatory ergonomics, formation of ergonomics teams and evaluation of ergonomics projects. The expected outcomes are: (a) improvement of production and productivity levels, (b) improvement of the product quality, (c) Reduction of absenteeism, (d) Improvement in the quality of work life (from the employees' perspective), and (e) increase in the employees' contribution rate of ideas for improvement. A case study was carried out at a vitroplant production organisation incorporating environmental aspects to obtain sustainable benefits.     

Unemployment Determinants for Women in Spain

Spain has one of the highest rates of unemployment among OECD countries. Some explanations for this stress the importance of unemployment duration compared with entry rates to the unemployment pool. Long‐term unemployment rates are particularly high among women in Spain. The object of this paper is to investigate the determinants of unemployment duration among women. It will consider personal characteristics (education and age), family background, socio‐economic variables (the number of household earners and household income) and the effect of unemployment benefits, using data from the Household Expenditure Survey 1990–91.     

Intergroup contact and prejudice in Moroccan and Spanish users of Spanish public libraries: mediating variables and directionality of the process / Contacto intergrupal y prejuicio en usuarios marroquíes y españoles de bibliotecas públicas españolas: variables mediadoras y direccionalidad del proceso

This study tests two serial models of intergroup contact in intergroup relations between users of Spanish public libraries and the directionality of the contact-prejudice relationship. Participants were selected in libraries that meet IFLA Guidelines in Barcelona (N_Spaniards = 138 and N_Moroccans = 89) and libraries that do not meet these guidelines in Almería (N_Spaniards = 116 and N_Moroccans = 100). They responded to a survey about the quantity of intergroup contact, anxiety, ethnocultural empathy, outgroup knowledge and prejudice. Several serial mediation analyses reveal a model where the indirect effect of quantity of contact in the library on prejudice was mediated by intergroup anxiety and ethnocultural empathy in Moroccans in Almería and Spaniards and Moroccans in Barcelona, and it found that the direction of this relationship is from contact to attitudes, but not attitudes to contact. These results show that the mediating power of affective variables is stronger than that of cognitive variables. Explanations about the absence of significant results in Spaniards in the Almería group are provided.     

R&D AND CREDIT RATIONING IN SMEs

We study the effects of credit rationing on research and development (R&D) investment using survey and accounting data on a large representative sample of manufacturing small‐ and medium‐sized enterprises (SMEs). Our econometric model accounts for the endogeneity of our credit rationing indicator and employs an innovative theory‐based identification strategy. We find that credit rationing has a significantly negative effect on both the probability to set up R&D activities and on the level of R&D spending (conditioned on the R&D decision), but the overall estimated reduction in R&D spending is largely to be associated with the first effect. (JEL G21, D82, O32, C35)     

Responses to global challenges: trends in aid‐financed global public goods

Based on four decades (1973–2013) of OECD‐Development Assistance Committee aid to developing countries, this article aims to show aid‐financed global public goods trends, their changing composition and their main drivers. In particular, a constant increase in the share of aid‐financed global public goods and a shift towards weighted‐sum and weakest‐link global goods are observed. Economic conditions, imitation effects, global engagement and domestic spending result as the main drivers of donors’ demand for aid‐financed global public goods. Besides, a certain complementarity in the provision of global goods plays a role, especially in European countries and Japan, partially easing the prognosis for the collective action problems related to global goods     

Phi-Divergence Statistics for Testing Linear Hypotheses in Logistic Regression Models

In this paper we introduce and study two new families of statistics for the problem of testing linear combinations of the parameters in logistic regression models. These families are based on the phi-divergence measures. One of them includes the classical likelihood ratio statistic and the other the classical Pearson's statistic for this problem. It is interesting to note that the vector of unknown parameters, in the two new families of phi-divergence statistics considered in this paper, is estimated using the minimum phi-divergence estimator instead of the maximum likelihood estimator. Minimum phi-divergence estimators are a natural extension of the maximum likelihood estimator.     

Managing structural and dynamic complexity in supply chains: insights from four case studies

Complexity is regarded a major impediment to Supply Chain (SC) performance. However, very few studies aid SC managers adopt adequate practices in response to structural and dynamic complexity. This study offers a comprehensive review of the practices that four manufacturing companies employ in their SC function to manage the structural and dynamic complexity of their product portfolio, internal SC, and supplier and customer bases. Moreover, leveraging the results of the inductive in-depth case studies, a classification of complexity management practices consisting of four clusters is advanced: variety reducing, confinement and decoupling, coordination and collaboration and decision support and knowledge generation. Each cluster’s distinctive logic and limitations are discussed and propositions on their managerial scope are introduced, therefore providing managers with relevant insights to design effective complexity management approaches in their organisations.     

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.