Institutional voids,international learning effort and internationalization of emerging market new ventures

Much of the existing scholarly works portray institutional voids (IVs) in emerging economies as impeding forces against the development of new ventures. However, little attention has been paid to how such voids generate positive outcomes in emerging market new ventures. Drawing on the institutional theory, we propose IVs as crucial enablers of new venture internationalization. In addition, we investigate both how and when IVs enhance the degree to which new ventures internationalize by examining international learning effort (ILE) as a mediator and two domestic market environmental factors (i.e., environmental dynamism and competitive intensity) as important contingencies. We test our moderated mediation model using primary data gathered from 211 new ventures from Ghana. We found that ILE mediates the relationship between IVs and new venture internationalization and that both environmental dynamism and competitive intensity moderate the indirect relationship between home-country IVs and new venture internationalization. We discuss the theoretical and practical implications of this study.     

Community Based Health Insurance Scheme and State-Local Relations in Rural and Semi-Urban Areas of Lagos State,Nigeria

Public Organization Review - Challenges encountered in offsetting medical bills propelled the establishment of National Health Insurance Scheme (NHIS) to cater for the formal sector and Community...     

On making causal claims: A review and recommendations

Social scientists often estimate models from correlational data, where the independent variable has not been exogenously manipulated; they also make implicit or explicit causal claims based on these models. When can these claims be made? We answer this question by first discussing design and estimation conditions under which model estimates can be interpreted, using the randomized experiment as the gold standard. We show how endogeneity – which includes omitted variables, omitted selection, simultaneity, common-method variance, and measurement error – renders estimates causally uninterpretable. Second, we present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation could be confounded; these methods include fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models. Third, we take stock of the methodological rigor with which causal claims are being made in a social sciences discipline by reviewing a representative sample of 110 articles on leadership published in the previous 10 years in top-tier journals. Our key finding is that researchers fail to address at least 66% and up to 90% of design and estimation conditions that make causal claims invalid. We conclude by offering 10 suggestions on how to improve non-experimental research.     

Altruism and social solidarity: Envisioning a field of specialization

Conclusion This article has presented a vision of what a field of altruism and social solidarity could potentially involve. An additional perspective on the nature of this field and how it could contribute to the discipline and to society is provided by the science of psychology. In the last decade a fundamental new orientation has developed in this discipline, growing from the pioneering work of Martin E.P. Seligman. Generally identified as “positive psychology” it represents a shift from a focus on trying to understand and find solutions to mental illness and various pathologies of thought and behavior in a “disease model” to a focus on human strengths, virtues, and other positive characteristics. This shift in focus is regarded as making a direct contribution to understanding what is best in human emotions and traits and how society can support the psychological flourishing of individuals. This new perspective in turn provides increased awareness of how the problems studied in the disease model can more effectively be prevented (Seligman, 2003, 2005). The importance of this focus on the positive for sociology and a call to action is stated by Seligman (2003): The third pillar of positive psychology is the study of positive institutions and positive communities.     

Using the Image Exchange to Enhance Interdisciplinary Team Building in Child Welfare

A team building activity, the image exchange, was helpful to interdisciplinary teams in clarifying perceptions and opinions of participants about the roles of each discipline (child welfare, domestic violence, mental health, and substance abuse workers) at a five-day interdisciplinary training workshop. Discussion of team members’ perceptions and views provided opportunities to develop insights about misperceptions. Training in team development and role clarification provided a foundation for the development of effective interdisciplinary collaboration, which may improve interdisciplinary practice.Dr. Packard is an Associate Professor and Dr. Jones is a Professor in the School of Social Work at SDSU. At the time of writing, Ms. Nahrstedt was a Research Assistant in the School of Social Work at SDSU. This project was funded by a grant from the U.S. Department of Health and Human Services, Administration for Children, Youth, and Families.     

Compressed Natural Gas Bus Safety: A Quantitative Risk Assessment

This study assesses the fire safety risks associated with compressed natural gas (CNG) vehicle systems, comprising primarily a typical school bus and supporting fuel infrastructure. The study determines the sensitivity of the results to variations in component failure rates and consequences of fire events. The components and subsystems that contribute most to fire safety risk are determined. Finally, the results are compared to fire risks of the present generation of diesel-fueled school buses. Direct computation of the safety risks associated with diesel-powered vehicles is possible because these are mature technologies for which historical performance data are available. Because of limited experience, fatal accident data for CNG bus fleets are minimal. Therefore, this study uses the probabilistic risk assessment (PRA) approach to model and predict fire safety risk of CNG buses. Generic failure data, engineering judgments, and assumptions are used in this study. This study predicts the mean fire fatality risk for typical CNG buses as approximately 0.23 fatalities per 100-million miles for all people involved, including bus passengers. The study estimates mean values of 0.16 fatalities per 100-million miles for bus passengers only. Based on historical data, diesel school bus mean fire fatality risk is 0.091 and 0.0007 per 100-million miles for all people and bus passengers, respectively. One can therefore conclude that CNG buses are more prone to fire fatality risk by 2.5 times that of diesel buses, with the bus passengers being more at risk by over two orders of magnitude. The study estimates a mean fire risk frequency of 2.2 x 10(-5) fatalities/bus per year. The 5% and 95% uncertainty bounds are 9.1 x 10(-6) and 4.0 x 10(-5), respectively. The risk result was found to be affected most by failure rates of pressure relief valves, CNG cylinders, and fuel piping.