Role of quality management capabilities in developing market-based organisational learning capabilities: Case study evidence from four Indian business process outsourcing firms

Business-to-business marketing literature acknowledges the value firms, including business process outsourcing firms, realise through their supplier networks. Such value realisation is often possible through a dynamic exchange of complementary organisational capabilities between a firm and its network partners. However, little is known about how outsourcing firms develop these capabilities and thus realise value. This paper addresses an unexplored theoretical gap of developing market-based organisational learning capabilities in business process outsourcing firms. Using a capabilities lens, this study assesses the impact of quality management capabilities in developing market-based organisational learning capability. Findings from a case study of four business process outsourcing firms in India suggest that effective knowledge transfer, diffusion and the development of market-based organisational learning capabilities are contingent upon the strength of a firm's quality management capabilities. Implications for theory and practice are discussed.     

Optimal trade policy with quality-differentiated goods

In this article we apply the model of vertically differentiated products to international trade. A foreign firm competes with a domestic firm in the latter's market, producing products of varying quality. We examine the nature of the equilibrium in this case, assuming the firms compete in prices. Contrary to the popular belief, we show that a protectionist policy of imposing a tariff on the foreign firm raises overall welfare in the domestic economy, as well as induces the domestic firm to upgrade the quality of its product, if it produces the lower quality product. Furthermore, if minimum quality standards are imposed on the foreign firm, the domestic firm upgrades quality, and overall welfare in the domestic economy is higher.     

Fair welfare maximization

We consider the general problem of finding fair constrained resource allocations. As a criterion for fairness we propose an inequality index, termed “fairness ratio,” the maximization of which produces Lorenz-undominated, Pareto-optimal allocations. The fairness ratio does not depend on the choice of any particular social welfare function, and hence it can be used for an a priori evaluation of any given feasible resource allocation. The fairness ratio for an allocation provides a bound on the discrepancy between this allocation and any other feasible allocation with respect to a large class of social welfare functions. We provide a simple representation of the fairness ratio as well as a general method that can be used to directly determine optimal fair allocations. For general convex environments, we provide a fundamental lower bound for the optimal fairness ratio and show that as the population size increases, the optimal fairness ratio decreases at most logarithmically in what we call the “inhomogeneity” of the problem. Our method yields a unique and “balanced” fair optimum for an important class of problems with linear budget constraints.     

The risky business of hiring stars

With the battle for the best and brightest people heating up again, you're most likely out there looking for first-rate talent in the ranks of your competitors. Chances are, you're sold on the idea of recruiting from outside your organization, since developing people within the firm takes time and money. But the authors, who have tracked the careers of high-flying CEOs, researchers, software developers, and leading professionals, argue that top performers quickly fade after leaving one company for another. To study this phenomenon in greater detail, the authors analyzed the ups and downs of more than 1,000 star stock analysts, a well-defined group for which there are abundant data. The results were striking. After a star moves, not only does her performance plunge, but so does the effectiveness of the group she joins--and the market value of her new company. Moreover, transplanted stars don't stay with their new organizations for long, despite the astronomical salaries firms pay to lure them from rivals. Most companies that hire stars overlook the fact that an executive's performance is not entirely transferable because his personal competencies inevitably include company-specific skills. When the star leaves the old company for the new, he cannot take with him many of the resources that contributed to his achievements. As a result, he is unable to repeat his performance in another company--at least not until he learns to work the new system, which could take years. The authors conclude that companies cannot gain a competitive advantage or successfully grow by hiring stars from outside. Instead, they should focus on cultivating talent from within and do everything possible to retain the stars they create. Firms shouldn't fight the star wars, because winning could be the worst thing that happens to them.     

Testing the CAPM revisited

This paper re-examines the tests of the Sharpe–Lintner Capital Asset Pricing Model (CAPM). The null that the CAPM intercepts are zero is tested for ten size-based stock portfolios and for twenty five book-to-market sorted portfolios using five-year, ten-year and longer sub-periods during 1965–2004. The paper shows that the evidence for rejecting the CAPM on statistical grounds is weaker than the consensus view suggests, and highlights the pitfalls of testing multiple hypotheses with the conventional heteroskedasticity and autocorrelation robust (HAR) test with asymptotic P-values. The conventional test rejects the null for almost all sub-periods, which is consistent with the evidence in the literature. By contrast, the null is not rejected for most of the sub-periods by the new HAR tests developed by Kiefer et al. (2000), Kiefer and Vogelsang (2005), and Sun et al. (2008).     

The effect of multi-purpose shopping on pricing and location strategy for grocery stores

Though it is a well-accepted fact that consumers indulge in multi-purpose shopping, most previous models of store choice assume that grocery shopping trips are single-purpose trips. This paper provides the first empirical analysis of multi-purpose shopping using data on actual shopping trips. A latent class factor analytic logit model is proposed, which provides a representation of the market structure of grocery store competition, while integrating; multi-purpose shopping, retail pricing format and location strategy. We conclude that incorporating multi-purpose shopping trips provides a better understanding of the competitive market structure, and discuss the managerial implications for the selection of marketing strategies.     

Correlations in emerging market bonds: The role of local and global factors

This paper empirically assesses co-movements in emerging market bond returns and disentangles the roles of external and domestic factors during episodes of heightened market volatility. The conceptual framework, set in the context of asset allocation, allows us to describe the channels through which shocks originating in a particular emerging or mature market are transmitted across countries and markets. We show that a simple measure of cross-country correlations, when presented together with the more commonly used average correlation coefficient, can be more informative during episodes of heightened market volatility. Data for the period 1997–2008 are analysed for evidence of true contagion and common external shocks.     

On someE-optimal block designs

Summary TheE-optimality of block designs is the concern of this paper. Bounds for the smallest positive eigenvalue of theC-matrix of block designs are obtained in some general classes of connected designs with equal or unequal block sizes. Use of these bounds is made to obtainE-optimal block designs in various classes.     

Binomial Option Pricing Biases and Inconsistent Implied Volatilities

We evaluate the binomial option pricing methodology (OPM) by examining simulated portfolio strategies. A key aspect of our study involves sampling from the empirical distribution of observed equity returns. Using a Monte Carlo simulation, we generate equity prices under known volatility and return parameters. We price American–style put options on the equity and evaluate the risk–adjusted performance of various strategies that require writing put options with different maturities and moneyness characteristics. The performance of these strategies is compared to an alternative strategy of investing in the underlying equity. The relative performance of the strategies allows us to identify biases in the binomial OPM leading to the well–known volatility smile . By adjusting option prices so as to rule out dominated option strategies in a mean–variance context, we are able to reduce the pricing errors of the OPM with respect to option prices obtained from the LIFFE. Our results suggest that a simple recalibration of inputs may improve binomial OPM performance.