Domestic Violence and Child Mortality in the Developing World

We examine the effect of domestic violence on child mortality using Demographic and Health Surveys from thirty-two developing countries. We first examine conditional associations between violence faced by the mother and child mortality after controlling for observable confounders. Children of (ever) physically victimized mothers are 0.4, 0.7, and 1.0 pp more likely to die within thirty days, a year, and five years of being born. We find similar associations when examining violence experienced in the last twelve months, although these are no longer statistically significant. The association is statistically significant, and larger, if the mother experiences violence in the last twelve months often, rather than sometimes. Violence is significantly associated with pregnancy loss, suggesting the true effect on mortality is larger than estimates based on live-births would suggest. We investigate robustness of associations to omitted variable bias, assessing the role of selection on unobservables to estimate lower bounds on the true effect. These continue to indicate economically meaningful positive effects, suggesting selection on unobservables would need to be 2.4–3 times that of selection on observables to nullify the estimated effect. We provide evidence that maternal smoking and breastfeeding practices are mediators in the relationship between domestic violence and child mortality.     

A tabu search approach for cell scheduling problem with makespan criterion

Scheduling problem in a cellular manufacturing system is treated as the group scheduling problem, assuming that intercellular moves can be eliminated by duplicating machines. However, in a typical CMS, duplicating bottleneck machines may be costly and infeasible. This fact limits the applicability of group scheduling. Scheduling problem in the presence of bottleneck machines is termed as cell scheduling. A mixed-integer linear programming model is proposed for the attempted cell scheduling problem and a nested application of tabu search approach is investigated in this paper to solve the problem heuristically. The effectiveness of the proposed nested tabu search (NTS) algorithm is evaluated on 16 problems selected from the literature. Comparison of the results of NTS with SVS-algorithm reveals the effectiveness and efficiency of the proposed algorithm.     

Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test

The Prebisch–Singer hypothesis in economics asserts that over time the relative price of primary goods relative to manufactured goods should experience a downward trend. To test the hypothesis, we must first establish the unit root properties of the relative price term and then regress the stationary series on a trend term. We use the quantile unit root test which allows for both smooth unknown numbers and the form of breaks in the trend function through a Fourier function to show that the relative price of 23 out of 24 primary goods is stationary. However, the Prebisch–Singer hypothesis is supported only in half of the primary commodities.     

The effect of governance modes and relatedness of external business development activities on innovative performance

This study examines how different governance modes for external business development activities and venture relatedness affect a firm's innovative performance. Building on research suggesting that interorganizational relationships enhance the innovative performance of firms, we propose that governance modes and venture relatedness interact in their effect on innovative performance. Analyzing a panel of the largest firms in four information and communication technology sectors, we find that degree of relatedness for corporate venture capital investments, alliances, joint ventures, and acquisitions influences their impact on innovative performance. Copyright © 2008 John Wiley & Sons, Ltd.     

Corporate social responsibility and organizational effectiveness: A multivariate approach

In this paper, three major themes in research on corporate social responsibility (CSR) are identified. Of particular interest, however, is the potential link between CSR and organizational effectiveness (OE). Data collected from 410 college graduate and undergraduate students were used to examine this relationship. Using factor analysis, eight dimensions of CSR and three components of OE were extracted. Canonical analysis was then performed. The result supports the proposition that specific CSR practices affect select OE outcomes. In addition, the method employed here provides a parsimonious approach to give priority to social claims.Shaker A. Zahra, Ph.D., is Associate Professor of Strategic Management, George Mason University, Fairfax, VA 22030, U.S.A. His research centers on the role of board of directors in the strategic process, determinants of technological innovation in large corporations, and ethical issues associated with strategic choices. His research has received several awards.Michael S. LaTour, Ph.D., is Assistant Professor of Marketing, College of Business, Old Dominion University, Norfolk, Virginia 23508, USA. His research centers on the role of arousal in consumer behavior and ethical issues arising in this context.     

Executive values and the ethics of company politics: Some preliminary findings

A model of correlates of executives' views of organizational politics was presented. The model incorporated three sets of variables: executives' background, values and attitudes. Data collected from 302 managers were used to validate the model. The results showed that precursors of executive perceptions of the ethics and effect of company politics were different. Values were stronger than background variables in explaining executives' views of company politics.Dr. Shaker A. Zahra is Associate Professor of Strategic Management, George Mason University, Fairfax, Virginia 22030. His research centers on the role of boards of directors in the strategic process, determinants of innovation in large corporations, and ethical issues associated with strategic choices. His research received several awards.     

Contextualizing theory building in entrepreneurship research

Theory development and testing are central to the advancement of entrepreneurship as a scholarly field. For nearly three decades now, researchers have borrowed popular theories from other disciplines and adapted them to the study of diverse entrepreneurship phenomena. This has enhanced the rigor of research findings. Future studies can achieve greater rigor and relevance by paying more attention to the context of their investigations. Understanding the nature, dynamics, uniqueness and limitations of this context can enrich future studies. This article describes common problems revealed in recent entrepreneurship research when applying existing and new theories to well known vs. emerging and novel phenomena. The article also suggests strategies to enrich creative and constructive theory building.     

Governance of the Entrepreneurial Threshold Firm: A Knowledge-based Perspective

ABSTRACT By building on a knowledge‐based view of the firm, this paper addresses a relatively unexplored area of roles and dynamics of corporate governance in younger, threshold firms that are undergoing a transition from the emergence to the professional management stage. Our analysis is focused on the process of capability development, exploring the effect of the asymmetry in knowledge that often exists between directors and senior managers on the governance of threshold firms. We examine the key sources of this asymmetry, explore ways directors and senior executives learn, and then discuss the implications of this learning on the evolution of governance systems in the threshold firm.     

Entrepreneurship and Dynamic Capabilities: A Review,Model and Research Agenda*

abstract The emergent literature on dynamic capabilities and their role in value creation is riddled with inconsistencies, overlapping definitions, and outright contradictions. Yet, the theoretical and practical importance of developing and applying dynamic capabilities to sustain a firm's competitive advantage in complex and volatile external environments has catapulted this issue to the forefront of the research agendas of many scholars. In this paper, we offer a definition of dynamic capabilities, separating them from substantive capabilities as well as from their antecedents and consequences. We also present a set of propositions that outline (1) how substantive capabilities and dynamic capabilities are related to one another, (2) how this relationship is moderated by organizational knowledge and skills, (3) how organizational age affects the speed of utilization of dynamic capabilities and the learning mode used in organizational change, and (4) how organizational knowledge and market dynamism affect the likely value of dynamic capabilities. Our discussion and model help to delineate key differences in the dynamic capabilities that new ventures and established companies have, revealing a key source of strategic heterogeneity between these firms.     

An in-sample and out-of-sample empirical investigation of the nonlinearity in house prices of South Africa

This paper tests whether housing prices in the five segments of the South African housing market, namely large-middle, medium-middle, small-middle, luxury and affordable, exhibit non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data from 1970:Q2 to 2009:Q3. Findings point to an overwhelming evidence of non-linearity in these five segments based on in-sample evaluation of the linear and non-linear models. We next provide further support for non-linearity by comparing one- to four-quarters-ahead out-of-sample forecasts of the non-linear time series model with those of the classical and Bayesian versions of the linear autoregressive (AR) models for each of these segments, for the out-of-sample horizon 2001:Q1 to 2009:Q3, using the in-sample period 1970:Q2 to 2000:Q4. Our results indicate that barring the one-, two and four-step(s)-ahead forecasts of the small segment, the non-linear model always outperforms the linear models. In addition, given the existence of strong causal relationship amongst the house prices of the five segments, the multivariate versions of the linear (classical and Bayesian) and STAR (MSTAR) models were also estimated. The MSTAR always outperformed the best performing univariate and multivariate linear models. Thus, our results highlight the importance of accounting for non-linearity, as well as the possible interrelationship amongst the variables under consideration, especially for forecasting.