Engineering confederalism for Iraq

This article examines Iraqi political developments in the last few years. It argues that unless a constitutional mechanism for proper dispersal of political powers across Iraq's regions and branches of its government is developed quickly, it may become too late for defeating Islamic State in Iraq and Syria, stemming the sectarian and ethnic conflicts, overcoming its perpetual crises of governance or for keeping Iraq united. We suggest that a confederal structure is a better and lasting political solution for Iraq than federal or other structural configurations. We also argue that power-sharing and consensus must be intertwined directly into the constitutional fabric of the political structure.     

Collaboration and Internationalization of SMEs: Insights and Recommendations from a Systematic Review

This paper performs a systematic literature review of the undeniably diverse – and somewhat fragmented – current state of research on the collaborations and internationalization of small and medium‐sized enterprises (SMEs). We analyze key works and synthesize them into a framework that conceptually maps key antecedents, mediators, and moderators that influence the internationalization of SMEs. In addition, we highlight limitations of the literature, most notably in terms of theoretical fragmentation; extant theories are deployed and illustrated but rarely extended in a manner that significantly informs subsequent work. At an applied (but related) level, we argue the need for supplementary work that explores the distinct stages of internationalization – and the scope and scale of this process – rather than assuming closure around particular events. With this, we highlight the need for more rigorous and empirically informed explorations of contextual effects that take account of the consequences of developments in the global economic ecosystem.     

Variable selection for survival data with a class of adaptive elastic net techniques

The accelerated failure time (AFT) models have proved useful in many contexts, though heavy censoring (as for example in cancer survival) and high dimensionality (as for example in microarray data) cause difficulties for model fitting and model selection. We propose new approaches to variable selection for censored data, based on AFT models optimized using regularized weighted least squares. The regularized technique uses a mixture of \(\ell _1\) and \(\ell _2\) norm penalties under two proposed elastic net type approaches. One is the adaptive elastic net and the other is weighted elastic net. The approaches extend the original approaches proposed by Ghosh (Adaptive elastic net: an improvement of elastic net to achieve oracle properties, Technical Reports 2007) and Hong and Zhang (Math Model Nat Phenom 5(3):115–133 2010), respectively. We also extend the two proposed approaches by adding censoring observations as constraints into their model optimization frameworks. The approaches are evaluated on microarray and by simulation. We compare the performance of these approaches with six other variable selection techniques-three are generally used for censored data and the other three are correlation-based greedy methods used for high-dimensional data.     

On Comparing Alternative Advertising Policies of Pulsation*

In this paper, five alternative advertising policies that belong to the advertising pulsation class are compared analytically for linear and concave response functions using a modified version of the Vidale-Wolfe model. The results of the research show that (1) For both linear and concave response functions, advertising pulsing/maintenance policy dominates advertising pulsing policy but is dominated by the Uniform Advertising Policy. For convex response functions, the order of dominance is reversed. (2) For linear response functions, uniform advertising policy dominates the impulse advertising policy but is dominated by the chattering advertising policy. (3) For concave response functions, uniform advertising policy dominates both the impulse advertising policy and the chattering advertising policy. (4) For convex response functions, chattering advertising policy dominates both the advertising pulsing policy and the impulse advertising policy. The Vidale-Wolfe model is estimated using the well-known Lydia Pinkham data. Optimality analysis shows that the company was overadvertising about half of the time studied. Overadvertising seems to have produced appreciable gain in sales and created significant barriers to competitive entry at a little cost in terms of foregone profits.     

Prosocial Motivation as a Driver of Social Innovation in the UAE

One important domain of nonmarket-driven innovation is social innovation. Defined as “new ideas that have the potential to improve either the quality or the quantity of life,” social innovation stands in stark contrast to business innovation that focuses on creativity with the intention of making a profit. Drawing on research on motivation, creativity, rentier mentality, and Islamic work ethics, this article takes a motivational approach to social innovation and advances a proposition that prosocial motivation is of particular importance in fostering social innovation in the context of the UAE. We argue that due to policies that grant nationals high financial stability and affluence, UAE locals are less likely to be driven by extrinsic motivation, but rather by intrinsic motivation. We propose that enhancing their prosocial motivation will have a synergetic effect with their intrinsic motivation and therefore lead to higher social innovation. This article extends the literature on prosocial motivation, social innovation, and social entrepreneurship by identifying a geographical/cultural region where the motivational basis for social innovation is amplified. Significantly, this article questions common assumptions about a rentier mentality and proposes a path to leverage social innovation. Implications for policymakers and practitioners are discussed.     

Determinants of social assistance caseloads for employable single adults without dependants in Canada

Government officials like the idea of just a small number of households in their respective jurisdiction receiving social assistance. A large number is seen as costly to the public treasury, and declining caseloads are generally viewed as a mark of success for both the economy and the government of the day. But what factors account for the size of a Canadian province's social assistance caseload? This article aims to shed light on this question, with a focus on single adults without dependants (and without serious disabilities) during the 1989–2017 period. One important finding is that when the value of social assistance benefit levels for this group increases by 1% in a province, the social assistance caseload for this demographic rises by 0.457%. Put differently, there is indeed an important behavior response associated with higher benefit levels. In response, we propose that provincial officials budget for higher take up levels when they increase benefit levels for this household group.     

Exploring the effectiveness of methadone treatment from the perspective of drug users and their families: a qualitative study in Iran

ABSTRACT

The aim of this study was to explore the effectiveness of Methadone Maintenance Treatment (MMT) from the perspective of drug users and their families. For this qualitative content analysis study, 15 participants were selected via purposive sampling. Data collection was done using deep and semi-structured interviews, which were then analyzed. The results showed that MMT can bring favorable impacts into the patients’ lives and help them with the process of treatment and rehabilitation despite the medical side effects.     

Communication in Statistics-Theory and methods improved GQL estimation method for the generalised BINMA(1) model

In a recent research, the quasi-likelihood estimation methodology was developed to estimate the regression effects in the Generalized BINMA(1) (GBINMA(1)) process. The method provides consistent parameter estimates but, in the intermediate computations, moment estimating equations were used to estimate the serial- and cross-correlation parameters. This procedure may not result optimal parameter estimates, in particular, for the regression effects. This paper provides an alternative simpler GBINMA(1) process based on multivariate thinning properties where the main effects are estimated via a robust generalized quasi-likelihood (GQL) estimation approach. The two techniques are compared through some simulation experiments. A real-life data application is studied.     

Contested Ground: Network Governance in Australia's Migration Industry

This article challenges current understandings of the Australian migration industry's position in a network governance framework by shedding light on Registered Migration Agents’ (RMA) lived experiences of their profession. Using qualitative interview data collected from ten migration intermediaries across Australia, this article examines their experiences of their role in relation to the state and industry bodies. Placing migration intermediaries at the meso‐level of analysis, between macro‐level forces of the state and micro‐level agency of their clients, I argue primarily that the migration industry of Australia is a “contested ground” where intermediaries are embedded within complex negotiations with the state and legal frameworks, whilst also negotiating their legitimacy in a stigmatised profession. The findings of this study reveal migration intermediaries’ experiences of network governance as pivotal stakeholders, operating within a space characterized by complex configurations of autonomy and bureaucratic control.