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This paper aims to examine whether the money laundering/terrorist financing (ML/TF) model excludes important aspects of terrorist resourcing and whether the terrorist resourcing model (TRM) provides a more comprehensive framework for analysis.

Research consisted of case studies of resourcing activities of four listed terrorist organizations between 2001 and 2015: the Liberation Tigers of Tamil Eelam (LTTE), Hamas, a grouping of Al Qaeda-inspired individuals and entities under the heading “Al Qaeda inspired” and Hezbollah.

The most prevalent resourcing actors observed were non-profit organizations/associations, and the most prevalent form of resourcing was fundraising that targeted individual cash donations of small amounts. Funds were pooled, often passed through layers of charitable organizations and transmitted through chartered banks. The TRM is indeed found to provide a more comprehensive framework for identifying sources of resourcing and points of intervention. However, it does not in itself recommend effective means of response but it has implications for counter-resourcing strategies because it identifies resourcing actors and nodes where counter-resourcing could occur.

This paper advances the state of knowledge of terrorist resourcing activities in Canada and about the value of doing so through the analytical lens of the TRM as opposed to the predominant ML/TF model.

In an age of “conversational marketing,” there are clear parallels between the new rules of marketing and the old rules of courtship.

Taking a page from just‐in‐time manufacturing, many companies have found a way to create better, faster, cheaper—and infinitely more effective—marketing campaigns.

This paper aims to determine the characteristics of board certification among US physicians and to test whether accounting for the expected gains to certification alters the pattern of the determinants of board certification.

Splitting the sample into sub‐samples by characteristics associated with certification/non‐certification identified in a probit, the incremental gain to certification from log‐earnings equations is identified. Realizing that these methods are susceptible to sample selection, correction is made for it using the Heckman approach. Using the sample selection corrected equations, the expected gain to certification among those who certify is then predicted and those who do not certify is then predicted and this difference is included as a proxy for the expected gain in the original probit to ascertain whether including the expected gain alters the determinants of certification.

Accounting for the expected gain alters the pattern of the determinants of certification. Although some groups such as blacks appear less likely to certify, after accounting for their expected return to certification, they are not as less likely. This is explained in terms of the expected marginal return to certification, market structure and practice setting.

The data used in the analysis apply only to young physicians in the USA. Also, these results may be applicable only to the particular cohort used in this analysis.

The findings help to explain the absence of minority board certified physicians within the USA.

This paper is the first to simultaneously estimate the returns to physician board certification and the decision to obtain certification.

Making a classroom a space that can become a place of lively discussion and interaction is a goal of many instructors, but it can be challenging to assess the extent to which classroom engagement is resulting in meaningful participation. The use of an assessment tool called classroom mapping provides a way to trace and analyze students’ interaction, performance, and involvement in a class. It maps discussions and shows feedback on what is going on; including who is talking, for how long, what subjects and instructional strategies engage which students, and what kinds of connections are being made with the students and the instructors. This chapter considers the broader implications of using technology to elevate classroom mapping from formative assessment to potential learning analytic, with particular attention to the practical, pedagogical and ethical implications of recording and mapping how students engage in their classes.

While visual arts, drama, dance and music have been used to enhance literacy learning for many decades in preschool and primary classrooms, engaging with mobile learning can also provide many opportunities for young learners to explore and develop language and literacy. The use of mobile devices is of particular interest as technology has an impact on pedagogy and the mobility of digital devices provides many opportunities for engaged and meaningful literacy learning when teamed with the arts. In this chapter, we define the arts and their relationship with literacy learning before exploring a number of resources and practices for integrating their use in early learning settings.

Taking a broad review of the management and economics literature, the purpose of this paper is to examine how the recent “Great Recession” has had a disproportionate adverse impact on US labor markets and created social disruptions to professional workers experiencing persistent unemployment or underemployment.

Secondary data analysis shows how the recent recession has had a disproportionate impact on employment. Recognizing underemployment as a potentially persistent state, the authors delineate the extent and consequences of underemployment.

Analyses of unemployment and underemployment resulting from the recent recession suggest it has had a particularly severe detrimental impact on worker benefits, incomes and employment prospects for most US workers.

Secondary data analysis is a major limitation but results justify a call for further research into the potential increase in the long‐term economic displacement of professional workers.

This paper is unique in applying economic and management constructs in an analysis of the origins, consequences and recommendations for decreasing the rising level of underemployment among professional US workers.

The purpose of this paper is to explore how various performance related pay (PRP) schemes influence employee turnover. It also tests whether profit sharing has a differential impact on turnover in comparison to other forms of PRP.

Utilizing a nationally representative longitudinal dataset of individuals, analysis begins with a parsimonious specification of the determinants of turnover and then progressively adds various sets of controls known to influence turnover decisions to observe how their inclusion influences PRP coefficients. Estimations employ both standard probits and panel data models.

Empirical evidence reveals a negative relationship between an aggregate measure of PRP and turnover. Disaggregating performance pay measures by type reveals a robust negative relationship between profit sharing and turnover. Although one would expect the influence of other PRP schemes to mimic that of profit sharing, evidence suggests otherwise.

Data lack information on how much earnings are based on PRP. Consequently, estimates may be biased when combining those who receive little earnings from PRP with those who receive substantial amounts of PRP into a single PRP measure.

Although PRP schemes are often introduced to improve incentives and productivity, profit sharing based on firm profitability may allow labor costs to vary with firm profits hence enhancing retention and reducing the incidence of unemployment during recession.

This paper adds to the literature and fulfils an identified need to study how other types of PRP besides profit sharing influence turnover.