Global value chains and technology transfer: new evidence from developing countries

Review of World Economics - International trade has long been considered a channel of technology transfer. This paper draws from the World Bank’s Enterprise Surveys to provide a sample of 18...     

The food neophobia scale and young adults’ intention to eat insect products

In the coming years, the new EU Regulation on Novel Food is likely to facilitate the development of a niche market for insects and insect‐based ingredients in many European countries. In this research, the aim is to explore the relationship between willingness to try (WTT) and behavior of eating insects, where the independent variables are food neophobia, sensory property expectations, and previous consumption. In total, 88 Italian participants took part in the study. The food neophobia scale (FNS) was constructed using 9 of the 10 items from the original FNS, and a Structural Equation Modeling approach was used to test the research hypotheses. The results show that males are more open to trying insects than females, and food neophobia is negatively correlated with the willingness to eat insects. Findings also indicate that the first exposure to insects positively increases consumers’ sensory property expectations. Intention to try is a strong predictor of the behavior of eating insects. People who scored lower on the FNS were more likely to try (intention) and consequently eat insects (behavior). These findings enhance knowledge about factors which could lead to lower levels of negative prejudice and greater willingness to taste edible insects among Western consumers. Finally, some marketing implications are discussed, like the need of information campaigns to emphasize positive sensory attributes of edible insects to increase the WTT this unfamiliar food.     

A methodology based on the Analytic Hierarchy Process for the quantitative assessment of emergency preparedness and response in road tunnels

The paper presents and discusses a methodology to judge the effectiveness of the preparedness activities in case of accidents in road tunnels by considering the system from several points of view (i.e. structural/technical, organizational/human, and contextual). Due to the different nature of the criteria involved in the assessment activity, we chose to apply the Analytic Hierarchy Process methodology (Saaty, T.L. (2006). Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process, RWS Publications, Pittsburgh) that allows comparing and appraising quantitatively variables that are incommensurable and that may originate from distinct and separate areas. The paper identifies the hierarchic structure necessary to measure both the performance of the emergency response system for road tunnel accidents and the weights for assessing their relative importance. Finally, the methodology is applied to a case study on a transnational road tunnel between Italy and France to show a feasible evaluation of the sensitivity of the structure to the input variables in order to find the most valuable enhancing and improving actions.     

Drivers of Autonomy of Public Agencies in Italy

The creation of agencies has been and still is a widespread trend in the public sector: governments in many countries often establish semi‐autonomous single‐purpose organizations to carry out a wide range of functions and tasks. The trend to autonomization is problematic as it affects public sector's governance: several bodies operate partly autonomously from the core elective government, and are sometimes loosely coupled with their ‘parent’ administration. Consequently, analysing the drivers of agencies’ autonomy is a crucial issue for public management. This paper, in the light of some major contributions in organizational science, assumes that agencies’ autonomy is influenced by factors that affect post‐delegation relationships: agencies’ structure, culture and nature of the tasks executed. The study was aimed at testing a range of hypotheses about the autonomy of public agencies, using for this purpose the so‐far not investigated case of Italy–much in the spirit of the accumulation of knowledge in an area of public management. Results do not provide any strikingly counter‐intuitive finding, but a mix of confirmations and disconfirmations of previous findings that allow a finer‐grained analysis on the determinants of agency autonomy.     

Su di una politica di bonus

Si prende in considerazione una politica di Bonus attuata da una Compagnia di assicurazione e si studia l'andamento della perdita attesa della Compagnia al variare dell'entità del Bonus nei casi in cui:

1. la funzioneL(s), che esprime il livello minimo dell'entità dei sinistri non occultabili all'istantes, sia lineare ins;
2. la funzioneL(s) renda massima la previsione del guadagno di ogni singolo assicurato.

     

Diversification Strategies and Corporate Coherence Evidence from Italian Leading Firms

This paper investigates the determinants of coherence and coherence change usinga sample of Italian leading firms in the period 1993–1996. Consistently with thehypotheses advanced by Teece et al. (1994), the econometric analysis highlightsthat relatedness between pairs of sectors and coherence of diversification strategiesare higher when firms are active in sectors sharing similar technological and marketingcharacteristics, and when they are positioned at different stages of the productive chain.Moreover, the findings that firms which enter the group of top 5 industry leaders aremore coherent than the average and that coherence is increasing for firms active insectors more sensitive to EU integration are consistent with the prediction that coherentfirms tend to outperform less coherent ones and that coherence is increasing in morecompetitive environments. Finally, the results show that a deepening of vertical integration strategies is good for coherence change, while an increase of diversification brings a reduction in coherence.     

The Open Innovation Journey: How firms dynamically implement the emerging innovation management paradigm

Open Innovation is currently one of the most debated topics in management literature. Nevertheless, there are still many unanswered questions in Open Innovation research. Especially two issues require further investigation: (i) understanding the relevance of Open Innovation beyond high-tech industries and (ii) studying how firms implement Open Innovation in practice. The paper addresses these topics by studying, through an in-depth case study, the journey that the Italian leading cement manufacturer, has undergone to move from a Closed to an Open Innovation paradigm.The paper shows that the Open Innovation paradigm is implemented along a three-phase process that comprises the stages of unfreezing, moving and institutionalising. Moreover, it emerges that the changes through which Open Innovation has been implemented involve four major dimensions, i.e. networks, organisational structures, evaluation processes and knowledge management systems. They should be therefore conceived as the managerial and organisational levers an innovating firm can act upon to streamline its journey toward Open Innovation. Theoretical and managerial implications of using these levers for implementing Open Innovation are discussed at length.     

Threshold bipower variation and the impact of jumps on volatility forecasting

This study reconsiders the role of jumps for volatility forecasting by showing that jumps have a positive and mostly significant impact on future volatility. This result becomes apparent once volatility is separated into its continuous and discontinuous components using estimators which are not only consistent, but also scarcely plagued by small sample bias. With the aim of achieving this, we introduce the concept of threshold bipower variation, which is based on the joint use of bipower variation and threshold estimation. We show that its generalization (threshold multipower variation) admits a feasible central limit theorem in the presence of jumps and provides less biased estimates, with respect to the standard multipower variation, of the continuous quadratic variation in finite samples. We further provide a new test for jump detection which has substantially more power than tests based on multipower variation. Empirical analysis (on the S&P500 index, individual stocks and US bond yields) shows that the proposed techniques improve significantly the accuracy of volatility forecasts especially in periods following the occurrence of a jump.