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This work examines how the economic survival strategies of former fighters in Liberia can help explain the trajectories of war-to-peace transitions.

In the aftermath of the Liberian civil war, groups of ex-combatants seized control of natural resource enclaves in the rubber, diamond, and timber sectors. With some of them threatening a return to war, these groups were widely viewed as the most significant threats to Liberia's hard-won peace. Building on fieldwork and socio-historical analysis, this book shows how extralegal groups are driven to provide basic governance goods in their bid to create a stable commercial environment. This is a story about how their livelihood strategies merged with the opportunities of Liberia's post-war political economy. But it is also a context-specific story that is rooted in the country's geography, its history of state-making, and its social and political practices. This volume demonstrates that extralegal groups do not emerge in a vacuum

ABSTRACTThis case uses IRS SOI migration data to help students understand the power of data analysis to identify potential policy issues faced by state governments. The data skills covered in this case are used by entry level accounting professionals in all fields: the Extract, Transform, and Load (ETL) process using Alteryx and creating data visualizations using Tableau. The case learning objectives are: (1) develop students' ETL skills; (2) develop students' data visualization skills; (3) develop students' critical-thinking skills, and (4) enhance students' effective oral and written communications skills. Pre- and post-learning assessment surveys and open-ended responses indicate that the case meets these learning objectives. Students easily related to policy questions surrounding migration as future employees considering their career options. As such, this case is appropriate for stand-alone data analytics courses in business or accounting, accounting information systems courses, undergraduate- and graduate-level tax classes, and M.B.A. courses.

AbstractWhy do American perspectives of international relations (IR) continue to hold sway over an increasingly diverse discipline? What actually constitutes "Americanness" in IR? Who is considered "American" in IR? These are the central questions we explore in this essay. Drawing on cognitive and behavioral insights from social psychology, we argue that there is a distinct "American approach" to international relations and security studies and that this approach is a product of Western cognitive frames. We identify three factors that represent the American approach's hyper-Westernized framing: individualism, equality, and a preference for causal rather than contextual analysis, and a preference for egalitarianism. We argue that these are reinforced by two social identity processes—academic identity and national identity. The consequences of "being American" in IR and security studies suggest not only problems of attention and accuracy, but an inherent failure to appreciate that Western—and particularly, American—ways of seeing and valuing the world are not universal.

ABSTRACTTwo cases help students identify the influence that self-interest can have on ethical decision making and encourage them to practice "giving voice to values." The learning objectives are to: (1) increase student awareness of the role of ethical fading in unethical decision making; (2) develop critical-thinking skills for ethical decision making; and (3) practice applying moral imagination to resolve ethical dilemmas. Specifically, we designed these case scenarios to develop skills in recognizing and resolving ethical dilemmas. Post-case survey responses indicate that beyond meeting the learning objectives, students personally relate to the protagonists. The cases are appropriate for graduate or undergraduate accounting courses, including capstone accounting courses, in which ethics, auditing, forensic accounting, and/or the professional code of conduct are discussed. Implementation guidance and Teaching Notes are provided to aid instructors seeking to motivate in-class discussions of the current and future ethical decisions students may face.

The authors argue that the gender composition of party gatekeepers -- those responsible for candidate recruitment -- plays a crucial role in either encouraging or discouraging women candidates to run for office. Using an original data set that includes constituency-level information for all parties and candidates in the 2004 and 2006 Canadian national elections, the authors find support for this proposition. Women candidates are more likely to be nominated when the gatekeeper -- the local party president -- is a woman rather than a man. The results underline the importance of informal factors for understanding women's political underrepresentation. Adapted from the source document.

The authors argue that the gender composition of party gatekeepers—those responsible for candidate recruitment— plays a crucial role in either encouraging or discouraging women candidates to run for office. Using an original data set that includes constituency-level information for all parties and candidates in the 2004 and 2006 Canadian national elections, the authors find support for this proposition. Women candidates are more likely to be nominated when the gatekeeper—the local party president—is a woman rather than a man. The results underline the importance of informal factors for understanding women's political underrepresentation.

ABSTRACT
The increasing use of data analytics in the accounting profession necessitates development of instructional cases that teach students how to use data analytics tools to solve common accounting problems. While there has been an emphasis on data analytics cases for graduate education, we recognized a need for such cases at the undergraduate level to prepare students for internships, careers, and graduate education. This case meets this important need by introducing Alteryx in a typical tax setting—the calculation of Modified Accelerated Cost Recovery System (MACRS) depreciation. The learning objectives are to: (1) extend knowledge of data analytics; (2) develop skills using Alteryx to extract, transform, and load data; (3) demonstrate understanding of tax rules for computing depreciation; and (4) develop effective written communication skills.