Perceived managerial and leadership effectiveness within a Moroccan Higher Education Institution

The purpose of this research was to determine what behaviourally distinguishes effective and ineffective managers within a Moroccan Higher Education Institution (HEI). The critical incident technique (CIT) was the methodology deployed to collect data from participants in terms of how they perceive managers as either effective or ineffective. The collected data (CIs) were subjected to content and thematic analysis that resulted in derived positive and negative behavioural statements (BSs). A total of 42 participants/informants were interviewed and revealed a total of 418 CIs, of which 189 were positive CIs and 229 were negative. The analysis revealed a total of 49 BSs, of which 19 were positive and 30 were negative behavioural indicators. The findings of this investigation bring empirical evidence to understand what and how managers are perceived as effective or ineffective in the Moroccan academic context and, therefore, adds to the literature. The information obtained can also provide rich information/knowledge that can be used as a basis to address the behavioural developmental needs of managers in HEIs. This research adds value by following by following two previous replication studies in a French and a Hungarian HEI; moreover, this study is the first to be conducted in the Moroccan/North African region.     

The matching extension problem in general graphs is co-NP-complete

A simple connected graph G with 2n vertices is said to be k-extendable for an integer k with \(0<k<n\) if G contains a perfect matching and every matching of cardinality k in G is a subset of some perfect matching. Lakhal and Litzler (Inf Process Lett 65(1):11–16, 1998) discovered a polynomial algorithm that decides whether a bipartite graph is k-extendable. For general graphs, however, it has been an open problem whether there exists a polynomial algorithm. The new result presented in this paper is that the extendability problem is co-NP-complete.     

Reliability evaluation of a multicast over coded packet networks

Network coding is a generalization of conventional routing methods that allows a network node to code information flows before forwarding them. While it has been theoretically proved that network coding can achieve maximum network throughput, theoretical results usually do not consider the stochastic nature in information processing and transmission, especially when the capacity of each arc becomes stochastic due to failure, attacks, or maintenance. Hence, the reliability measurement of network coding becomes an important issue to evaluate the performance of the network under various system settings. In this paper, we present analytical expressions to measure the reliability of multicast communications in coded networks, where network coding is most promising. We define the probability that a multicast rate can be transmitted through a coded packet network under a total transmission cost constraint as the reliability metric. To do this, we first introduce an exact mathematical formulation to construct multicast connections over coded packet networks under a limited transmission cost. We then propose an algorithm based on minimal paths to calculate the reliability measurement of multicast connections and analyze the complexity of the algorithm. Our results show that the reliability of multicast routing with network coding improved significantly compared to the case of multicast routing without network coding.     

Modelling period fertility: Schooling and intervals following a birth in Eastern Africa

We describe a regression-based approach to the modelling of age-, order-, and duration-specific period fertility, using retrospective survey data. The approach produces results that are free of selection biases and can be used to study differential fertility. It is applied to Demographic and Health Survey data for Ethiopia, Kenya, Tanzania, and Zimbabwe to investigate differential trends in fertility by education. Parity progression fell and the intervals following each birth lengthened between the 1970s and 2000s in all four countries. Fertility fell most among women with secondary education. In contrast to other world regions, postponement of successive births for extended periods accounted for much of the initial drop in fertility in these African countries. However, family size limitation by women with secondary education in Ethiopia and Kenya and longer birth spacing in Zimbabwe also played significant roles. Thus, birth control is being adopted in Eastern Africa in response to diverse changes in fertility preferences.     

The changing face of the Maltese population

In the last decade the Maltese population has seen an influx of overseas-born individuals. This has been largely due to Malta’s access to the European Union and the increased intake of refugee immigrants. These immigration trends have resulted in changes in population composition, with the overseas-born population increasing from 17,740 (4.7%) in 1995 to 24,560 (6.1%) in 2005. There has also been an increase in the proportion of births registered in Malta to overseas citizens, including citizens of non-EU Europe (1.1%); the African continent (1.5%); America (0.3%); and Asia (0.8%). About ten per cent of marriages in Malta are between a Maltese spouse and a foreigner. The data suggest that the Maltese population is slowly becoming more cosmopolitan, a trend that is gradually changing the ethnic composition of the Maltese community.     

Climate change and population migration in Brazil’s Northeast: scenarios for 2025–2050

This research contributes to an understanding of the relationship between climate change, economic impacts and migration. We model the long-term relationship (up to 45 years of projection) between demographic dynamics—particularly migration—driven by changes in the performance of the economy due to climate changes in the Northeast region of Brazil. The region is of particular relevance to the study of climate change impacts given its large human population (28% of Brazil’s population) and high levels of impoverishment, having an extensive semi-dry area which will be severely impacted by growing temperatures. Ultimately, the integrated model generates state- and municipal-level migration scenarios based on climate change impacts on the primary economic sectors and their articulations with other sectors. Results suggest that the predicted climate changes will impact severely the agriculture sector in the region, acting as a potential migration push factor to other regions in the country. Finally, we discuss how the increased vulnerability of some groups, particularly migrants, can be factored into Brazilian public policy and planning.     

Teaching Business Demography Using Case Studies

Many faculty members consider using case studies but not all end up using them. We provide a brief review of what cases are intended to do and identify three ways in which they can be used. We then use an example to illustrate how we have used the case study method in teaching business demography. Among other benefits, we note that the case studies method not only encourages the acquisition of skills by students, but can be used to promote “deep structure learning,” an approach naturally accommodates other features associated with the case studies method—the development of critical thinking skills, the use of real world problems, the emphasis of concepts over mechanics, writing and presentation skills, active cooperative learning and the “worthwhileness” of a course. As noted by others, we understand the limitations of the case study method. However, given its strengths, we believe it has a place in the instructional toolbox for courses in business demography. The fact that courses we teach is a testament to our perceived efficacy of this tool.