早晚航班对飞行员疲劳程度的影响

航空公司为了提高飞机利用率,导致早晚班的比重明显增加.由于飞行员生物节律的改变,致使其疲劳程度加深.为了保证飞行安全,减缓飞行疲劳,合理排班,需要对执行早晚班的飞行员的疲劳系数进行研究.通过对20名飞行员以及10名飞行学员进行电话访谈,了解到他们早晚班的疲劳程度,进而改进西南航空局可用机组疲劳系数的计算公式,优化了每名飞行员早晚班疲劳系数的计算公式.     

Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.     

The role of human capital in identifying the drivers of product and process innovation: empirical investigation from Italy

Quality & Quantity - Economists recognize that the local availability of higher human capital represents significant knowledge spillovers, especially for innovation process. This research...     

Policy uncertainty and aggregate fluctuations

This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt, and (iv) monetary policy. Uncertainty about government debt has a large and persistent effect on output, consumption, investment, consumer confidence, and business confidence. Uncertainty about tax changes also has detrimental consequences for real activity but the effect of spending and monetary policy uncertainty appears to be small. About 25% of output fluctuations are accounted for by policy uncertainty, with government debt making the largest contribution at longer horizons.     

Obstacles and solutions on the ladder of citizen participation: a systematic review

This article presents a systematic review of the English-language empirical literature about citizen participation to identify the obstacles to its implementation and the most successful ways to address them. Three sets of variables seem to impact effectiveness: contextual factors, including information asymmetries and public officials’ attitude; organizational arrangements, including community representation criteria and process design; and process management patterns, including group dynamics and collaboration quality. Two recommendations stem from our analysis: internalize decisions in organizational procedures, and establish ongoing interactions between government bodies and their stakeholders. We conclude that half-hearted engagement is unlikely to lead to successful citizen participation.     

Hi-tech start-ups: legitimacy challenges and funding dynamics

Studies on the legitimacy challenges faced by hi-tech start-ups are still scarce, leaving room for research, and policymaking debate. Legitimacy issues may become difficult to face for hi-tech firms in comparison with other start-ups, because they work in an extreme environment where the technological challenges are at the edge of the scientific possibility. The paper proposes a conceptual model to grasp the relevance of three legitimacy drivers of the hi-tech start-ups for investment decisions. We investigated the ability of 30 hi-tech start-up firms to obtain financial resources from the US investors, employing a set-theoretic approach and carried out fuzzy-set Qualitative Comparative Analysis. Our findings clarify that the funding decisions of US investors are driven by the location of headquarter and R&D of hi-tech start-ups and by the educational experience of the founders. Our study has significant theoretical, practical, and policymaking implications.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

A hybrid information approach to predict corporate credit risk

This study proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced‐form models to produce a model combination based on credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced‐form models contribute more in the pooled strategies for speculative‐grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names.     

Sustainability Northwest: An Integrative Case of a Not‐for‐Profit Organization

Sustainability Northwest (SNW) is a fictional not‐for‐profit organization (NPO) that seeks to develop thought leaders for a sustainable future. This instructional case allows professors to assign students with up to six different roles, including SNW's chair of the board, executive director, volunteer treasurer, and the external auditor. Unique learning objectives include (i) the application of the CPA Canada Handbook, Accounting—Part III to prepare an NPO's financial statements using fund accounting, (ii) the development of recommendations to improve an NPO's board of directors, (iii) the analysis of system flow documents to identify control weaknesses, and (iv) the preparation of an audit planning memo. Instructors can use this case in several milieus. First, professors can foster a student's ability to integrate technical knowledge by (i) assigning students all six roles in a capstone course to promote integration within an individual course or (ii) assigning multiple roles across multiple courses to promote integration across a program of studies. Second, instructors can focus on a particular technical skill by assigning specific roles. This case is ideal for senior‐level undergraduate students or graduate students.     

Financial Literacy: The Role of the Local Context

In this article, we investigate the role of local factors associated with the financial literacy of Italian adults (no. 945). Using a multilevel regression model, together with the common socioeconomic and sociodemographic variables already used in previous studies, we also add certain environmental variables at the local level. We separately analyze the three indexes that define the OECD financial literacy index—Financial Attitude Index (FAI), Financial Knowledge Index (FKI), and Financial Behavior Index (FBI)—because they show a dynamic of their own in each region. Our findings confirm that the FKI and the FAI are associated to some extent with environmental traits, while the FBI is not. We conclude that not only the sociodemographic and socioeconomic conditions of individuals but also certain features of the regional context where they live have an impact on their financial literacy. Consequences for financial education programs are highlighted.