Elite Capture, Political Voice and Exclusion from Aid: An Experimental Study

We experimentally study the influence of local information conditions on elite capture and social exclusion in community-based development schemes with heterogeneous groups. Not only information on the distribution of aid resources through community-based schemes, but also information on who makes use of an available punishment mechanism through majority voting may be important. The main results are the following. First, many rich community representatives try to satisfy a political majority who would then abstain from using the punishment mechanism, and exclude those community members whose approval is then not required. The frequency of this exclusion strategy is highest with private information on the distribution and public voting. Second, when voting is public, responders are more reluctant to make use of the punishment mechanism, and representatives who follow the exclusion strategy are more inclined to exclude the poorest responder. Third, punishment is largely ineffective as it induces rich representatives to capture all economic resources. Fourth, if a poor agent takes the representative’ role, punishment rates drop, efficiency increases, and final distributions become more equal.microeconomics ;

Market Reaction to the Adoption of IFRS in Europe

This study examines the European stock market reaction to sixteen events associated with the adoption of International Financial Reporting Standards (IFRS) in Europe. European IFRS adoption represented a major milestone towards financial reporting convergence yet spurred controversy reaching the highest levels of government. We find a more positive reaction for firms with lower quality pre-adoption information, which is more pronounced in banks, and with higher pre-adoption information asymmetry, consistent with investors expecting net information quality benefits from IFRS adoption. We also find that the reaction is less positive for firms domiciled in code law countries, consistent with investors' concerns over enforcement of IFRS in those countries. Finally, we find a positive reaction to IFRS adoption events for firms with high quality pre-adoption information, consistent with investors expecting net convergence benefits from IFRS adoption. Overall, the findings suggest that investors in European firms perceived net benefits associated with IFRS adoption.IFRS, IAS 39, Convergence, Europe, Event Study

Towards a NeuroIS Research Methodology: Intensifying the Discussion on Methods, Tools, and Measurement

The genesis of the Neuro-Information Systems (NeuroIS) field took place in 2007. Since then, a considerable number of IS scholars and academics from related disciplines have started to use theories, methods, and tools from neuroscience and psychophysiology to better understand human cognition, emotion, and behavior in IS contexts, and to develop neuro-adaptive information systems (i.e., systems that recognize the physiological state of the user and that adapt, based on that information, in real-time). However, because the NeuroIS field is still in a nascent stage, IS scholars need to become familiar with the methods, tools, and measurements that are used in neuroscience and psychophysiology. Against the background of the increased importance of methodological discussions in the NeuroIS field, the Journal of the Association for Information Systems published a special issue call for papers entitled “Methods, tools, and measurement in NeuroIS research” in 2012. We, the special issue’s guest editors, accepted three papers after a stringent review process, which appear in this special issue. In addition to these three papers, we hope to intensify the discussion on NeuroIS research methodology, and to this end we present the current paper. Importantly, our observations during the review process (particularly with respect to methodology) and our own reading of the literature and the scientific discourse during conferences served as input for this paper. Specifically, we argue that six factors, among others that will become evident in future discussions, are critical for a rigorous NeuroIS research methodology; namely, reliability, validity, sensitivity, diagnosticity, objectivity, and intrusiveness of a measurement instrument. NeuroIS researchers—independent from whether their role is editor, reviewer, or author—should carefully give thought to these factors. We hope that the discussion in this paper instigates future contributions to a growing understanding towards a NeuroIS research methodology

Talent development as career development in gifted African American youth

African American Students’ Career and College Readiness: The Journey Unraveled explores the historical, legal, and socio-political issues of education affecting African American students and their career and college readiness. Each chapter has been written based on the authors’ experience and passion for the success of students in the African American population. Some of the chapters will appear to be written in a more conversational and idiomatic tone, whereas others are presented in a more erudite format. Each chapter, however, presents a contextual portrayal of the contemporary, and often dysfunctional, pattern of society’s approach to supporting this population. Contributors also present progressive paradigms for future achievements. Through the pages of this book, readers will understand and hopefully appreciate what can be done to promote positive college bound self-efficacy, procurement of resources in the high school to college transition, exposure and access to college possibilities, and implications for practice in school counseling, education leadership, and higher education.https://scholarworks.wm.edu/educationbookchapters/1020/thumbnail.jp

Controlling Narrative Generation with Planning Trajectories: The Role of Constraints

Abstract. AI planning has featured in a number of Interactive Storytelling prototypes: since narratives can be naturally modelled as a sequence of actions it has been possible to exploit state of the art planners in the task of narrative generation. However the characteristics of a “good ” plan, such as optimality, aren’t necessarily the same as those of a “good ” narrative, where errors and convoluted sequences may offer more reader interest, so some narrative structuring is required. In our work we have looked at injecting narrative control into plan generation through the use of PDDL3.0 state trajectory constraints which enable us to express narrative control information within the planning representation. As part of this we have developed an approach to planning with such trajectory constraints. The approach decomposes the problem into a set of smaller subproblems using the temporal orderings described by the constraints and then solves these subproblems incrementally. In this paper we outline our method and present results that illustrate the potential of the approach.