Search results

This paper contributes to the existing literature on the gender gap in academic career advancement by focusing on the very early stage of the academic career, i.e. the transition from Ph.D. completion to a tenured position.

Using Italian individual-level data, our econometric analyses estimate the likelihood of holding a tenured position conditional on a set of individual-level covariates.

Our findings support the idea that women have a lower probability of obtaining a tenured position. Results hold even when research productivity and experience are controlled for.

Our conclusions suggest that there is a significant gender gap in progression through an academic career.

This paper contributes to the empirical analysis of PhD holders' transition into the non-academic labor market (i.e. their intersectoral mobility). The research focuses on doctoral graduates specialized in a field of study supposed to have notable non-academic applications, namely Industrial and Information Engineering. We inspect whether these doctoral graduates experience lower satisfaction with PhD knowledge use on the job when they work outside universities and non-public research centers.

We use cross-sectional survey data collected by the Italian National Institute of Statistics in 2014. Ordinary least squares and ordered logit analyses provide baseline results; furthermore, we apply a multinomial endogenous treatment model to control for potential bias arising from self-selection into employment sectors.

We find evidence that for PhD holders Industrial and Information Engineering being employed in the industrial and services sector implies lower satisfaction with the use of doctoral knowledge than that reported by their counterparts working in universities or public research centers.

These results complement and extend previous evidence about PhD holders' career outcomes by focusing on the intersectoral mobility issue and on a specific group of doctoral graduates whose intersectoral mobility potential is expected to be high. Our findings call for policies that might trigger a better alignment between doctoral education and non-academic jobs.

The purpose of this paper is to test and develop a method for generation and selection of six sigma projects. This is done by testing the use of the generation and selection method for six sigma projects (GSM_SSP) in a Brazilian manufacturing industry with the participation of managers, aiming to gather the user’s perspective and improvement opportunities for the approach itself.

The work adopts the action research (AR) approach once the researchers were busily involved in the training, implementation and use of the GSM_SSP. The intervention was performed in on a series of 15 workshops, with a group of managers, during six months.

The application of the eight steps of the GSM_SSP approach assisted the company’s management team to generate nine project candidates and also to select three six sigma projects. This study also finds and discusses barriers and lessons learned used to improve the GSM_SSP.

This study presents an example of how six sigma project generation and selection has been applied to a manufacturing industry by adapting AR to the process using the eight steps of GSM_SSP, demonstrating how the management team was involved. This study should be replicated in different companies because AR is limited in its generalization.

To the best of the authors’ knowledge, this study represents the first use of AR methodology in six sigma project selection. This study contributes a method that can generate and select six sigma projects. In doing so, the research offers a simple approach that can be used by managers. In addition, the steps of the approach before selection were explored.

European justice systems are facing a dramatic performance crisis due to the frequent inability to resolve cases without incurring unreasonable delays and backlogs. In this framework, the Italian Judicial system places itself well below the European countries average, in terms of speed of resolution of administrative, civil and criminal trials. The purpose of the paper was to (1) identify factors affecting Italian judicial system efficiency and (2) identify potential actions to manage them, improving judicial system efficiency.

In order to achieve the aims of this paper, a systematic review to map all critical factors discussed in previous studies was performed. Studies were extracted from Google Scholar, Web of Science and SSRN databases. In total, 22 studies were included.

The identified factors of inefficiency of the Italian judicial system have been divided into three macro-classes depending on whether they concern human resource management, the judicial process or whether they pertain to internal or external outside the judicial organization. For each of these, possible strategies have been developed in a new conceptual framework.

The framework seeks to assist policymakers in forming policy measures that can significantly increase court effectiveness. This is the first attempt to review and map all factors affecting judicial system efficiency systematically, providing a new conceptual framework to manage them.

What would have been the hypothetical effect of monetary policy shocks had a country never joined the euro area, in cases where we know that the country in question actually did join the euro area? It is one thing to investigate the impact of joining a monetary union, but quite another to examine two things at once: joining the union and experiencing actual monetary policy shocks. The authors propose a methodology that combines synthetic control ideas with the impulse response functions to uncover dynamic response paths for treated and untreated units, controlling for common unobserved factors. Focusing on the largest euro area countries, Germany, France, and Italy, the authors find that an unexpected rise in interest rates depresses inflation and significantly appreciates exchange rate, whereas gross domestic product (GDP) fluctuations are less successfully controlled when a country belongs to the monetary union than would have been the case under the independent monetary policy. Importantly, Italy turns out to be the overall beneficiary, since all three channels – price, GDP, and exchange rate – deliver the desired results. The authors also find that stabilizing an economy within a union requires somewhat smaller policy changes than attempting to stabilize it individually, and therefore provides more policy space.

To highlight innovative welding technology exhibited at the Automatica exhibition in Munich.

Visited major companies participating at Automatica and spoke with them about important new developments.

New processes for welding thick and thin sheet were exhibited including novel applications for both the automotive industry and the heavy construction machinery sector.

Informs industry about new developments and potential benefits to be achieved.

The purpose of this essay is to illustrate how project management “pull” and AI or analytics technology “push” are likely to result in incremental and disruptive evolution of project management capabilities and practices.

This paper is written as a critical essay reflecting the experience and reflections of the author with many ideas drawn from and extending selected items from project management, artificial intelligence (AI) and analytics literatures.

Neither AI nor sophisticated analytics is likely to elicit hands on attention from project managers, other than those producing AI or analytics-based artifacts or using these tools to create their products and services. However, through the conduit of packaged software support for project management, new tools and approaches can be expected to more effectively support current activities, to streamline or eliminate activities that can be automated, to extend current capabilities with the availability of increased data, computing capacity and mathematically based algorithms and to suggest ways to reconceive how projects are done and whether they are needed.

This essay includes projections of possible, some likely and some unlikely, events and states that have not yet occurred. Although the hope and purpose are to alert readers to the possibilities of what may occur as logical extensions of current states, it is improbable that all such projections will come to pass at all or in the way described. Nonetheless, consideration of the future ranging from current trends, the interplay among intersecting trends and scenarios of future states can sharpen awareness of the effects of current choices regarding actions, decisions and plans improving the probability that the authors can move toward desired rather than undesired future states.

Project managers not involved personally with creating AI or analytics products can avoid mastering detailed skill sets in AI and analytics, but should scan for new software features and affordances that they can use enable new levels of productivity, net benefit creation and ability to sleep well at night.

This essay brings together AI, analytics and project management to imagine and anticipate possible directions for the evolution of the project management domain.

The purpose of this paper is to address the case of toxic metal contamination of Sepetiba Bay caused by the Ingá Company. The paper reviews the history of the contamination and discusses the current presence of metals in the bay sediments, demonstrating that the toxic metals are clearly enriched. Sepetiba Bay is prone to significant dredging activities that make metals available in the food chain, affecting human populations, mainly fishermen communities.

The study presents the case of the Ingá Company based on international literature and data provided by previous studies.

Through the analysis and compilation of diverse data from the literature, this study demonstrates that the Ingá Company is a major source of Cd, Pb and Zn due to its calamine processing activities used to obtain high purity Zn.

This study highlights important research to complete the historical scenario of heavy metal contamination of the Sepetiba Bay by Ingá Company. The results indicate that the contaminants from the Ingá Company can indeed be traced in the sediments of Sepetiba Bay. These data have the utmost value for the environmental management of this coastal system, because such high concentrations of toxic metals in marine sediments have serious implications for the environmental quality of the bay and may negatively affect biota and human health. Therefore, this study suggests that it is now necessary to monitor this region for contamination continuously.

Fig. 1 shows a conceptual framework describing several core elements of corruption in higher education, taking into consideration the complex inter-relationships among educational institutions, national and local government agencies, external agencies, and stakeholder communities. It is not meant to be an exhaustive representation but rather to show key general elements in the complex process of corruption in education, more generally, and higher education, in general. It represents a conceptual synthesis based on my own work on sector-wide approaches (SWAPs) to education planning (Weidman, 2001) and educational reform in the formerly Soviet style economic and education system of Mongolia (Weidman & Bat-Erdene, 2002) as well as the typologies of education corruption by Chapman (2002) and Rumyantseva (2005). This framework also reflects themes appearing in many reports and articles that, taken collectively, provide a detailed description of corruption at all levels of the educational systems in the E&E region (USAID, 2005; Anderson & Photos, 2003; Asian Development Bank, 2004; Broers, 2005; Levin & Satarov, 2000; Rostiashvili, 2004; World Bank, 2006a) as well as other parts of the world (Bray, 2003; Heyneman, 2004; Tanaka, 2001; Hallak & Poisson, 2007; Meier, 2004; Meier & Griffin, 2005).

This study aims to examine the impact of social media marketing (SMM) efforts, including entertainment, customisation, interaction and trendiness via WeChat, on consumers' online brand-related activities (COBRAs) and their related outcomes, including on-going search behaviour and repurchase intention.

The theoretical framework is tested for luxury cosmetics brands. Data were collected in China from 433 WeChat users utilising a self-administered online survey. Data analysis uses partial least squares–structural equation modelling.

Entertainment and interaction drive consumers' consuming, contributing and creating behaviours, whilst trendiness drives creating behaviour only. Inconsistent with previous research findings, customisation has a non-significant impact on consumers' consuming, contributing and creating behaviours. Consuming and creating behaviours assist in driving on-going search behaviour and repurchase intention. Contributing behaviours assist in driving on-going search behaviour only.

Cross-sectional in nature, this research adds to the marketing literature by explaining how to use SMM to drive COBRAs for luxury cosmetics in China using WeChat. To enhance the generalisability of the findings, future research might consider a longitudinal design, including comparisons between countries with diverse cultures as well as other industries and product types.

COBRAs may be heightened by using entertaining and trendy content. Incorporating interactive content on social media platforms encourages consumers to consume, contribute and create content on social media brand communities, further driving their on-going search behaviour and repurchase intention.

Examination of SMM's role in the marketing literature largely overlooks the impact of SMM elements on COBRAs. This study contributes to the SMM research by empirically testing a theoretical model, confirming that specific SMM elements – including entertainment and interaction – are key factors in driving consumers' consuming, contributing and creating behaviour on social media brand communities, influencing consumers' on-going search behaviour and repurchase intention.