Development of a Technology Education Cascading Theory through community engagement site-based support

If teachers are not equipped to teach Technology Education subject nationally and internationally, the continent of Africa will continue to bear the brunt of unsavoury results unless radical interventions are implemented to transform the situation. It is against this background that action research methods became a useful site-based support to empower Technology teachers at three sampled schools from Tshwane South Circuit in Gauteng Province of South Africa. The purpose of this study was to share fresh perspectives on how a sample of Technology teachers responded to content-related classroom practices during reflective action research activities that took place during community engagement contact sessions. These teachers, who are under qualified and unqualified to teach this subject, were engaged in circular and spiral action research cycles. The teachers’ engagement brought forth the development of Technology Education Cascading Theory. It was evident that community engagement activities served as a podium to transform teachers’ teaching of Technology Education and enhance learners’ achievement. The study was underpinned by cooperative enquiry theory and engaged participants in reflective practices of developmental action paradigm. Interaction with Technology Education teachers further revealed that most of them need their schools to budget for this Technology subject they are teaching.     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

Towards Normative Theories of Social Entrepreneurship. A Review of the Top Publications of the Field

Journal of Business Ethics - In this article, we apply deductive content analysis to the 100 most influential publications in the field of social entrepreneurship (SE) to identify...     

GMM with Multiple Missing Variables

We consider efficient estimation in moment conditions models with non‐monotonically missing‐at‐random (MAR) variables. A version of MAR point‐identifies the parameters of interest and gives a closed‐form efficient influence function that can be used directly to obtain efficient semi‐parametric generalized method of moments (GMM) estimators under standard regularity conditions. A small‐scale Monte Carlo experiment with MAR instrumental variables demonstrates that the asymptotic superiority of these estimators over the standard methods carries over to finite samples. An illustrative empirical study of the relationship between a child's years of schooling and number of siblings indicates that these GMM estimators can generate results with substantive differences from standard methods. Copyright © 2015 John Wiley & Sons, Ltd.     

Advanced models of quality function deployment: a literature review

In this paper, a literature review conducted to study the characteristics of advanced models of quality function deployment (QFD) that have appeared in the literature arena is reported. QFD technique emerged in Japan in the 1970s. QFD has been proving to be a powerful tool that can be used for translating the voice of customers into technical languages. Yet from the beginning of this century, researchers began to point out the need to refine, modify and improve the features of QFD technique. In order to fulfil this need, few researchers brought out several advanced models of QFD. While conducting the literature review reported in this paper, six types of such advanced models of QFD were identified in the literature arena and their characteristics were studied. The result of this study revealed that the procedural and computational complexities are least in the case of an advanced model called total quality function deployment (TQFD). TQFD technique replaces the complex computations involved in applying conventional QFD technique with simple ratings. Besides the formation of teams to translate the voice of customers into work instructions ensures the quick reactions to the customers’ desires in the actual field of implementation. In this background, at end of this paper, it is suggested to adopt TQFD for implementation in traditional organizations in which the prevalence of adequate education for adopting complex procedures is found to be least.     

The impact of network configurations on value constellations in business markets — The case of an innovation network

A growing body of scholars are advocating a better understanding of how value is created in business networks, rather than merely in business relationships or at the level of single actors. Among such networks, innovation networks, i.e. the configurations of strategic entrepreneurial nets aimed at improving the effectiveness of innovation performance, have come under scrutiny in the business marketing literature. However, research that explicitly connects value considerations with innovation network configurations is still in its infancy, with empirical evidence being notably scarce. This study is aimed at identifying if and how network configurations affect value constellation aspects in business networks, in terms of value recipients and value outcomes. We interviewed key informants representing 46 high-technology entrepreneurial firms co-located in an innovation network (Daresbury Science and Technology Park — UK). Our study identifies that different network configurations can co-exist in the same overall network; these, nevertheless, are not alternative independent structures, but rather they interact with each other through actors spanning their boundaries. Our study thus provides an understanding of network configurations relating to specific value consequences, but also provides evidence relating to the interactions between different configurations. By doing this, we establish a bridge between a business marketing and a strategy perspective on value in networks. Important managerial implications and implications for policy makers also emerge from our study.     

Romanians,Hungarians and their wages,in transition,in Romania

Legally binding treaties or memorandums have been used over time to regulate the issue of national borders of many European countries. As a result, relatively large groups of people have become ethnic minorities in other countries. They may conserve their ethnic identities, and therefore their children may accumulate ethnic human capital (e.g., language, culture, and religion) in addition to the general human capital of the country. Therefore, they can get access to an appropriate occupation linked by tradition or other factors to their ethnic group. This paper uses estimates from a selection model with an endogenous switch among three broad types of occupational groups to analyze the composition of the wage gap between Romanians and ethnic Hungarians in Romania before and during the transition from a planned to a market economy. The results suggest that the institutional settings of the controlled economy allowed Romanians to work in occupations that gave them the best returns, while the changes during the transition years allowed ethnic Hungarians to work in occupations that gave them the best returns.     

Nowcasting the French index of industrial production: A comparison from bridge and factor models

Governments and central banks need to have an accurate and timely assessment of indicators for the current month, as this is essential for providing a reliable and early analysis of the current economic situation. The index of industrial production (IIP) is probably the most important and widely analyzed monthly indicator, given the relevance of the manufacturing activity as a driver of the whole business cycle. This paper presents a series of models conceived to forecast the current French monthly IIP, based on regression models and dynamic factor models. The combination of these two approaches allows selecting economically relevant explanatory variables among a large data set. In addition, a rolling forecast study is carried out to assess the forecasting performance of the estimated models, using predictive ability and model confidence set tests. This latter allows getting several models displaying equivalent forecasting performance and therefore gives robustness to the forecasting exercise rather than to base the forecasting analysis only on one model.