Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures

We compare the predictive validity of single-item and multiple-item measures utilized in Just-in-Time (JIT) research. The study examines if single-item measures could be used for some of the JIT practices, especially if the object of inquiry is concrete singular and if the attribute to be researched is concrete. Arguments are developed for the concrete nature of the JIT practice of “set-up time reduction” and we examine the ability of a single-item measure of this variable to predict the criterion variable (delivery performance). In addition, the study also examines the efficacy of using multiple-item measures for variables that are abstract in nature, and thereby attempts to develop a continuum of JIT constructs ranging from concrete to abstract. The results obtained by analyzing two sets of survey data show that multiple-item measures are not necessarily more valid than single-item measures for all constructs. The findings provide evidence that multiple-item measures and single-item measures for scale development should be contingent upon the nature of constructs. For concrete constructs, single-item measures are as valid as multi-item measures. Meanwhile, for abstract constructs it is important to ensure that multiple items are considered to capture the multi-dimensional nature of these constructs. Results also reveal that JIT practices display significant differences in terms of abstract/concrete perceptions. The paper presents theoretical and practical implications of the findings, and offers directions for future research.     

Productivity growth,Smith effects and Ricardo effects in Euro Area's manufacturing industries

We analyse the determinants of labour productivity across (a sample of) EA member states. We focus on the divergent dynamics before and after the financial crisis, and of core countries relative to peripheral countries. We ground our empirical analysis in Paolo Sylos-Labini's productivity equations. We test different models, including a Panel 2S-LS model and a Panel vector autoregression model. Our preliminary findings confirm and strengthen Sylos-Labini's main insights. Labour productivity in manufacturing industries is strongly and positively correlated with the market size (Smith effect), the relative cost of labour (Ricardo effect), the absolute cost of labour (organization effect) and past investment, whereas it is negatively correlated with current investment. Furthermore, we find evidence that the crisis has affected the size of these effects. Focusing on the core periphery dichotomy, the signs of the effects are the same for both groups of countries, although the Smith, Ricardo and long-run investment effects are usually stronger for core countries compared to peripheral countries. The opposite holds for the organization effect, while investment effects are less clear.     

Network valuation in financial systems

We introduce a general model for the balance‐sheet consistent valuation of interbank claims within an interconnected financial system. Our model represents an extension of clearing models of interdependent liabilities to account for the presence of uncertainty on banks' external assets. At the same time, it also provides a natural extension of classic structural credit risk models to the case of an interconnected system. We characterize the existence and uniqueness of a valuation that maximizes individual and total equity values for all banks. We apply our model to the assessment of systemic risk and in particular for the case of stress testing. Further, we provide a fixed‐point algorithm to carry out the network valuation and the conditions for its convergence.     

Students’ perception of CSR and its influence on business performance. A multiple mediation analysis

Firm managers play an important role in the implementation of corporate social responsibility (CSR) actions. Education is emerging as the key factor in developing a sense of moral responsibility amongst the business students who will eventually become company managers and decision makers. The aim of this research is, thus, twofold. First, to analyze the existence of a direct positive correlation between university students’ perception of CSR and its impact on business performance; and second, to examine the extent to which two factors (advantages brought by CSR and responsibilities toward stakeholders) act as mediation variables in the aforementioned correlation. The analysis was performed with a sample of 390 business‐related university students. Amongst the potential contributions made by this study we can highlight the possibility of knowing future managers’ way of thinking and of knowing the aspects where educational centers might improve their CSR teaching.     

Why Is Italy Doing So Badly?

We analyse the current Italian economic crisis as a phase of a major systemic decline. We argue that ‘Italy's system’ has forced the country to abandon a dynamic view of comparative advantage, crucial for sustained economic growth, in favour of a static view of specialisation. Creative destruction has been hampered and sectoral restructuring has not occurred, resulting in stagnation. The roots of this decline lie in collective action issues and an implicit contract between elites and civil society. We suggest that these issues must be resolved if the Italian economy and society are to revive.     

Strategic Planning and Institutional Collective Action in Italian Cities

Long-run and sustainable development is a main source of concern for contemporary cities. To address this issue, strategic plans have been introduced in several cities. In this paper, we investigate the determinants of strategic plan adoption in Italian cities by relying on the institutional collective action theory which predicts that collaboration among institutions is more likely to occur in areas with larger social capital stock and where public bodies share a common history of collaboration. Our econometric evidence shows that a larger stock of social capital and a history of past institutional collaboration increases the probability of adopting a strategic plan, confirming the central prediction of the institutional collective action theory.     

Construction,dimension reduction and uncertainty analysis of an index of trust in public institutions

Research on social capital in general and trust in particular is markedly increased. The worldwide problem of low and decreasing levels of trust in many public institutions is greatly debated. This is a very important problem because the trust citizens have in public institutions may foster democratic practices and facilitate better provision of public services. Moreover, trust is a central element of social order and survival of any democratic regime: it affects institutional performance, wellbeing, economic development and crime reduction. Public institutions should pay very much attention to citizens’ trust in them and in particular when introducing reforms aiming at improving their functioning. Trust is difficult to be assessed due to its quite elusive meaning. An index of general trust in public institutions is proposed within the framework of composite indicators. It is shown how to reduce the dimension of the index by finding out the most and least important aspects of it. Uncertainty analysis is used to test whether dimension reduction results are robust or not with respect to plausible changes in variable values and variable transformations. An application to data from the European Social Survey is discussed. The results show the very important role of the trust in politicians and political parties in explaining the level of general trust in public institutions.     

Measuring dynamics and structural change of time-dependent socio-economic networks

This paper addresses the issue of measuring temporal dynamics of complex socio-economic relational systems, represented as time-dependent networks. Network dynamics is first splitted into a structural component, accounting for changes in the network topology, and a non-structural component, accounting for permutation of vertex labels. A quantitative measure of the dynamics and its components is then proposed and it is shown how it can be used to investigate and interpret the time evolution of networks. A real example is discussed, pertaining to the dynamics of a subnetwork of the Italian corporate board network.     

Fitting observed inflation expectations

The paper provides evidence on the extent to which inflation expectations generated by a standard Christiano et al. (2005)/Smets and Wouters (2003)-type DSGE model are in line with what observed in the data. We consider three variants of this model that differ in terms of the behavior of, and the public's information on, the central banks' inflation target, allegedly a key determinant of inflation expectations. We find that (i) time-variation in the inflation target is needed to capture the evolution of expectations during the post-Volcker period; (ii) the variant where agents have Imperfect Information is strongly rejected by the data; (iii) inflation expectations appear to contain information that is not present in the other series used in estimation, and (iv) none of the models fully capture the dynamics of this variable.