Creating a firm-level dynamic capability through capitalizing on market orientation and innovativeness

Drawing on the resource-based view of the firm, this study addresses the dynamic capability-generating capacity of market orientation on firm performance. Whereas prior literature has examined environmental turbulence as a contextual condition shaping the market orientation-firm performance relationship, this study takes an internal approach by focusing on existing stocks of resources within the firm while controlling for environmental conditions. A conceptual model is developed that explains how market orientation can be transformed into dynamic capability when complemented by transformational (reconfig-urational) constructs, such as innovativeness. The empirical results support the authors— theory that the effect of market orientation on firm performance is strengthened when market orientation is bundled together with internal complementary resources, such as innovativeness. The authors discuss the findings in the context of varying stages of the product life cycle and at different levels of market development. Bulent Menguc (menguc@brocku.ca), Ph.D., Marmara University, is currently an associate professor of marketing at Brock University, St. Catharines, Canada. His areas of research interest include sales force management and internal marketing, strategic orientations, and cross-cultural research methodology. His research has appeared in theJournal of the Academy of Marketing Science, theJournal of Retailing, theInternational Journal of Research in Marketing, theJournal of Business Research, theJournal of Personal Selling and Sales Management, Industrial Marketing Management, theJournal of Business Ethics, and theEuropean Journal of Marketing, among others. Seigyoung Auh (sauh@yonsei.ac.kr), Ph.D., University of Michigan, is an assistant professor at Yonsei University, South Korea. His research interests are the application of the resource-based view to marketing strategy, the role of top management teams on marketing strategy, and innovation and organizational learning. He has publications in theJournal of the Academy of Marketing Science, theInternational Journal of Research in Marketing, theJournal of Business Research, Industrial Marketing Management, and theJournal of Economic Psychology, among others.     

Persistence of cities: Evidence from China

Using data from the Qing dynasty, we investigate the long‐run impact of early development on today's living standards in China. We use city‐level population density in 1776 as a measure of early economic prosperity, and examine how it is associated with today's development indicators such as the average night light density, GDP per capita, average years of schooling, and trade openness. We find that cities which were more prosperous during the Qing dynasty are now also brighter, richer, more educated, and more open.     

Common risk factors in the cross-section of corporate bond returns

We investigate the cross-sectional determinants of corporate bond returns and find that downside risk is the strongest predictor of future bond returns. We also introduce common risk factors based on the prevalent risk characteristics of corporate bonds—downside risk, credit risk, and liquidity risk—and find that these novel bond factors have economically and statistically significant risk premiums that cannot be explained by long-established stock and bond market factors. We show that the newly proposed risk factors outperform all other models considered in the literature in explaining the returns of the industry- and size/maturity-sorted portfolios of corporate bonds.     

The intertemporal capital asset pricing model with dynamic conditional correlations

The intertemporal capital asset pricing model of Merton (1973) is examined using the dynamic conditional correlation (DCC) model of Engle (2002). The mean-reverting DCC model is used to estimate a stock’s (portfolio’s) conditional covariance with the market and test whether the conditional covariance predicts time-variation in the stock’s (portfolio’s) expected return. The risk-aversion coefficient, restricted to be the same across assets in panel regression, is estimated to be between two and four and highly significant. The risk premium induced by the conditional covariation of assets with the market portfolio remains positive and significant after controlling for risk premia induced by conditional covariation with macroeconomic, financial, and volatility factors.     

The Conditional Beta and the Cross-Section of Expected Returns

We examine the cross-sectional relation between conditional betas and expected stock returns for a sample period of July 1963 to December 2004. Our portfolio-level analyses and the firm-level cross-sectional regressions indicate a positive, significant relation between conditional betas and the cross-section of expected returns. The average return difference between high- and low-beta portfolios ranges between 0.89% and 1.01% per month, depending on the time-varying specification of conditional beta. After controlling for size, book-to-market, liquidity, and momentum, the positive relation between market beta and expected returns remains economically and statistically significant.     

Sectoral exports dynamics of Turkey: Evidence from panel data estimators

This study aims to determine the most important factors affecting sectoral exports dynamics of Turkey and to estimate sectoral exports elasticities. It then relates sectoral elasticities to factor and technology intensities. The study uses three recent panel data estimators, Mean Group, Augmented Mean Group and Common Correlated Effects Mean Group estimators, all of which take into consideration slope heterogeneity and the last two also taking into consideration cross-sectional dependency. The results obtained show that foreign demand and productivity are important determinants of Turkish exports. In addition, sectoral elasticities vary across sectors, tending to be greater in some sectors where factor and technology intensities are the main distinctive features.     

Maxing out: Stocks as lotteries and the cross-section of expected returns

Motivated by existing evidence of a preference among investors for assets with lottery-like payoffs and that many investors are poorly diversified, we investigate the significance of extreme positive returns in the cross-sectional pricing of stocks. Portfolio-level analyses and firm-level cross-sectional regressions indicate a negative and significant relation between the maximum daily return over the past one month (MAX) and expected stock returns. Average raw and risk-adjusted return differences between stocks in the lowest and highest MAX deciles exceed 1% per month. These results are robust to controls for size, book-to-market, momentum, short-term reversals, liquidity, and skewness. Of particular interest, including MAX reverses the puzzling negative relation between returns and idiosyncratic volatility recently shown in 2 and 3.     

Quality heterogeneity and global economic growth

This paper develops a fully endogenous, variety-expansion growth model with firm-specific quality heterogeneity, limit pricing, and an endogenous distribution of markups. Firms with high-quality products engage in exporting, firms with intermediate-quality products serve the domestic market, and inefficient firms with low-quality products exit the market. Trade liberalization, measured by a reduction in trade costs or a decline in foreign market entry costs, generates a reallocation of resources from low-quality to high-quality products and exit of inefficient firms. However, it has ambiguous effects on the average global quality level, long-run growth, and welfare. An increase in the rate of population growth or in the intensity of trade-related knowledge spillovers accelerates economic growth. The laissez-faire equilibrium is inefficient, and this leaves room for welfare-improving government intervention.     

Predicting Counterproductive Work Behavior from Guilt Proneness

We investigated the relationship between guilt proneness and counterproductive work behavior (CWB) using a diverse sample of employed adults working in a variety of different industries at various levels in their organizations. CWB refers to behaviors that harm or are intended to harm organizations or people in organizations. Guilt proneness is a personality trait characterized by a predisposition to experience negative feelings about personal wrongdoing. CWB was engaged in less frequently by individuals high in guilt proneness compared to those low in guilt proneness, controlling for other known correlates of CWB. CWB was also predicted by gender, age, intention to turnover, interpersonal conflict at work, and negative affect at work. Given the detrimental impact of CWB on people and organizations, it may be wise for employers to consider guilt proneness when making hiring decisions.