Globally networked: Intraorganizational boundary spanning in the global organization

Multinational corporations (MNCs) need to sense, source, and mobilize knowledge when and where it arises, whether at home, or elsewhere in the world. For this reason, MNCs benefit from employee networks of relationships that span across intraorganizational barriers, allowing for the efficient mobilization of knowledge across boundaries. Yet, which organizational members are more likely to be able to develop these boundary spanning networks? We leverage a unique data set from a large multinational corporation to empirically test a comprehensive model that captures the effect of an employee’s mandate, expertise, and behavioral orientations on her likelihood to span intraorganizational boundaries that manifest themselves in the form of hierarchies, intra-functional domains, and geographic territories. We find that the employees that are more likely to be boundary spanners are those having mandates with a global impact, high levels of expertise, and a collaborative orientation in their networking behaviors. In addition, we find that these effects are stronger for those employees that have large formal workflow networks.     

Co‐integration Rank Determination in Partial Systems Using Information Criteria

We investigate the asymptotic and finite sample properties of the most widely used information criteria for co‐integration rank determination in ‘partial’ systems, i.e. in co‐integrated vector autoregressive (VAR) models where a sub‐set of variables of interest is modelled conditional on another sub‐set of variables. The asymptotic properties of the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the Hannan–Quinn information criterion (HQC) are established, and consistency of BIC and HQC is proved. Notably, the consistency of BIC and HQC is robust to violations of weak exogeneity of the conditioning variables with respect to the co‐integration parameters. More precisely, BIC and HQC recover the true co‐integration rank from the partial system analysis also when the conditional model does not convey all information about the co‐integration parameters. This result opens up interesting possibilities for practitioners who can now determine the co‐integration rank in partial systems without being concerned about the weak exogeneity of the conditioning variables. A Monte Carlo experiment based on a large dimensional data generating process shows that BIC and HQC applied in partial systems perform reasonably well in small samples and comparatively better than ‘traditional’ methods for co‐integration rank determination. We further show the usefulness of our approach and the benefits of the conditional system analysis in two empirical illustrations, both based on the estimation of VAR systems on US quarterly data. Overall, our analysis shows the gains of combining information criteria with partial system analysis.     

Managing liquidity with portfolio staleness

Decisions in Economics and Finance - Liquidity is a risk factor of primary relevance that can significantly affect the asset allocation decisions of investors. In this paper, we introduce the...     

Quantitative methods for the economic valuation of a cultural tourism destination: case study of the Pisa Charterhouse

Quality & Quantity - This paper aims to provide an economic valuation of the Pisa Charterhouse, a renowned monastic complex built in the fourteenth century, located in the Tuscany region of...     

Optimal strategies in linear multisector models: Value function and optimality conditions

In this paper we study an optimal control problem with mixed constraints related to a multisector linear model with endogenous growth. The main aim is to establish a set of necessary and a set of sufficient conditions which are the basis for studying the qualitative properties of optimal trajectories. The presence of possibly degenerate mixed constraints, the unboundedness and non-strict convexity of the Hamiltonian, make the problem difficult to deal with. We develop first the dynamic programming approach, proving that the value function is a bilateral viscosity solution to the associated Hamilton–Jacobi–Bellman (HJB) equation. Then, using our results, we give a set of sufficient and a set of necessary optimality conditions which involve so-called co-state inclusion: this can be interpreted as the existence of a dual path of prices supporting the optimal path.     

Existence of optimal strategies in linear multisector models with several consumption goods

In this paper, we give a sufficient and almost necessary condition for the existence of optimal strategies in linear multisector models when time is continuous.     

Performance measurement in universities: ambiguities in the use of quality versus quantity in performance indicators

Performance measurement (PM) is now common in Western universities. This is also the case in Finland, where a new funding scheme was implemented to ensure that quality was included in universities’ PM. However, this paper shows that the quality indicators in use are, in practice, quantitative. The paper is based on a large survey and has implications for university PM systems in Finland and internationally.     

What is the CSR’s Focus in Healthcare?

The concept of corporate social responsibility (CSR) has been the subject of several academic contributions, but in the health sector the development of an interest in this subject is very recent. Although many practices in healthcare are already socially responsible, progressing from a series of socially responsible behaviours to a socially responsible organization entails a more consolidated awareness of the health sector’s mission and the needs of its participants. In this paper, we will review the different studies published that address the relationship between the healthcare sector’s corporate responsibility and society, with the aims of individuating the prevailing foci that are emerging and categorizing the proposed contributions according to these foci: social responsibility and organization; social responsibility and social impact; social responsibility and competitiveness. Finally, the paper finishes with a personal definition of CSR and its correlated ethical roots.     

Financial capital and banks in Hilferding and Sraffa: lessons for today

Rudolf Hilferding’s Das Finanzkapital dealt with the increasing role of finance in the German economy and the resulting structural transformations. The young Sraffa shared with Hilferding an interest on the role played by the banks in the transformation of capitalism. The relationship among banking and industrial capital implied different business models of the German and UK banks and determined the resulting domination of financial capital on the economy. We deepen the methodological and practical similarities and differences of the two scholars, discussing the aspects that are still relevant today to understand financialisation and instability of capitalism.