Patterns of vertical specialisation in trade: long-run evidence for 91 countries

Review of World Economics - The authors estimate the domestic value-added content in exports of manufacturing goods (VAX-D ratio) for 91 countries over the period from 1970 to 2013. They find a...     

The moderating effect of management behavior for Lean and process improvement

It is commonly agreed that the success of Lean management is not only determined by its technical practices, but also by the so-called soft practices such as behavior and actions of employees and management. Lean Management behavior is in itself paradoxical in nature as it incorporates technical aspects (e.g., fact-based management, analysis and adhering to the standard operating procedures for sake of efficiency) and social, follower-related aspects (e.g., promotion of employee responsibility to continuously improve their work processes). In this paper, we investigate the (moderating) effect of some important Lean related management actions on the relationship between Lean and the level of process improvement: i) envisioning and communicating the meaning of Lean, ii) setting goals and active steering on improvement performance metrics and ii) encouraging continuous improvement. Survey data of 178 responses from Dutch organizations, shows that these management actions have a positive effect on both Lean and the level of process improvement. In addition, active steering on performance improvement has a reinforcing effect on the relationship between Lean and process improvement. For respondents with a low level of steering on performance improvement Lean does not lead to process improvement, while it does for respondents with average and high levels of steering on performance improvement. The more management operates on performance improvement, the more Lean will result in a higher level of process improvement.     

Stochastic non-smooth envelopment of data for multi-dimensional output

The proposed method of Stochastic Non-smooth Envelopment of Data (StoNED) for measuring efficiency has to date mainly found application in the analysis of production systems which have exactly one output. Therefore, the objective of this paper is to examine the applicability of StoNED when a ray production function models a production technology with multi-dimensional input and output. In addition to a general analysis of properties required by a ray production function for StoNED to be applicable, we conduct a Monte Carlo simulation in order to evaluate the quality of the frontier and efficiencies estimated by StoNED. The results are compared with those derived via Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We show that StoNED provides competitive estimates in regard to other methods and especially in regard to the real functional form and efficiency.     

Predicting the equity market with option-implied variables

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.     

Exploring how innovation strategies at time of crisis influence performance: a cluster analysis perspective

This paper analyzes the connection between innovation activities of companies – implemented before crisis – and their performance – measured at time of crisis. The companies listed in the STAR Market Segment of the Italian Stock Exchange are analyzed. Innovation is measured through the level of investments in total tangible and intangible fixed assets in 2006–2007, while performance is captured through growth – expressed by variations of sales, total assets and employees – profitability – through ROI or ROS – and productivity – through asset turnover or sales per employee in the period 2008–2010. The variables of interest are analyzed and compared through statistical techniques and by adopting cluster analysis. In particular, a Voronoi tessellation is also implemented in a varying centroids framework. In accord with a large part of the literature, we find that the behaviour of the performance of the companies is not univocal when they innovate.     

How do leaders' perceptions of organizational health climate shape employee exhaustion and engagement? Toward a cascading-effects model

Although researchers and practitioners increasingly focus on health promotion in organizations, research has been mainly fragmented and fails to integrate different organizational levels in terms of their effects on employee health. Drawing on organizational climate and social identity research, we present a cascading model of organizational health climate and demonstrate how and when leaders' perceptions of organizational health climate are linked to employee well-being. We tested our model in two multisource studies (N_{Study 1} = 65 leaders and 291 employees; N_{Study 2} = 401 leader–employee dyads). Results showed that leaders' perceptions of organizational health climate were positively related to their health mindsets (i.e., their health awareness). These in turn were positively associated with their health-promoting leadership behavior, which ultimately went along with better employee well-being. Additionally, in Study 1, the relationship between perceived organizational health climate and leaders' health mindsets was moderated by their organizational identification. High leader identification strengthened the relationship between perceived organizational health climate and leaders' health mindsets. These findings have important implications for theory and practice as they show how the dynamics of an organizational health climate can unfold in organizations and how it is related to employee well-being via the novel concept of health-promoting leadership.     

Trade openness,FDI, and income inequality: Evidence from sub‐Saharan Africa

The motivation for this study stems from the United Nations Sustainable Development Goals (UN‐SDGs) and their impact by 2030. The UN highlights 17 SDGs that address pertinent local and global issues, one of which—SDG‐10—has been devoted to reducing inequality. This study investigates the nexus between trade openness, foreign direct investment (FDI), and income inequality in sub‐Saharan Africa using panel data from 2000 to 2015 and the generalized method of moment (GMM) technique approach. The findings show that FDI and income have a negative, statistically significant relationship with income inequality, signifying that as FDI and income per capita increase, the level of income inequality decreases. However, trade openness, education, political stability, corruption, and rule of law have a positive, statistically significant relationship with inequality. This study, therefore, offers some recommendations that will help policymakers. First, develop good policies to attract more foreign investors, which will contribute to creating employment opportunities in the region. Second, create more infrastructures to provide good quality education. Third, implement a good policy to motivate local production which will contribute to creating jobs. Fourth, build a strong institution(s) to fight against corruption.     

When innovation in education works: stimulating teachers' innovative work behaviour

The twenty‐first century labour market requires employees that proactively shape innovations and solve complex problems. Professionals in the education sector are expected to perform innovative behaviour that not only entails the generation, but also the realization and sustainable implementation of new ideas. In a sample of 458 employees in Dutch secondary and higher vocational education (abbreviated in Dutch to MBO and HBO, respectively), this study investigated the relation between environmental factors (namely task variety, management support and exposure to innovation) and Innovative Work Behaviour (IWB) across the different phases of the innovation process, including a sustainability phase. Results of hierarchical regression analyses showed that management support and exposure to innovations served as a predictor for all phases of IWB. Teachers with supportive managers and a high degree of exposure to innovations showed higher scores on innovative behaviour across all phases. Linear regressions revealed a significant relationship between task variety and IWB. In the hierarchical model, only management suport and exposure to innovations showed significant relations. Background characteristics, such as gender, age, tenure, number of working hours and type of education, for which we controlled during the analyses, played a role in how much IWB is displayed. It can be concluded that a work environment, in which employees are exposed to innovation and are supported is crucial. Additionally, in view of the role background characteristics play, it is recommended to select teachers with specific profiles for the different phases of the innovation process.     

Multiple Levels of Corporate Sustainability

According to Dr. Clare Graves, mankind has developed eight core value systems,1 as responses to prevailing circumstances. Given different contexts and value systems, a one-solution-fits-all concept of corporate sustainability is not reasonable. Therefore, this paper presents various definitions and forms of sustainability, each linked to specific (societal) circumstances and related value systems. A sustainability matrix– an essential element of the overall European Corporate Sustainability Framework – is described showing six types of organizations at different developmental stages, with different forms of corporate sustainability, each supported by specific institutional arrangements.