National Cultures,Information Search Behaviors and the Attribution Process of Cross-National Managers: A Conceptual Framework

Teaching Business Ethics - Cross-cultural management researchers haveobserved that when presented with similarethical dilemmas and problems, managers raisedin different cultural environments...     

A Corporate Social Responsibility Framework for Accounting Research

Over the past two decades, there has been growing interest in corporate social responsibility (CSR) among accounting scholars. As a testament to this growing interest, two review papers on CSR were published last year in accounting journals. Implicitly guiding hypothesis development in CSR studies is the notion of a conflict between shareholders and stakeholders. We define CSR in terms of a win-win situation for shareholders and stakeholders: a CSR framework for strategic business purposes. We provide evidence supporting this outlook for CSR using cases pertaining to specific companies and findings from archival empirical studies. According to our CSR framework, resources allocated for CSR activity also help propel business strategy; as such, it is difficult to isolate CSR inputs and/or outputs due to problems of non-separability and multidimensionality. While measurement is a challenge, our framework nonetheless opens up various promising avenues for future research.     

Dynamic routing of time-sensitive air cargo using real-time information

The route planning of time-sensitive air-cargo is becoming more important with the growing air-network congestion and delays. We consider a freight forwarder’s routing of a time-sensitive air-cargo in the presence of real-time and historical information regarding flight availability, departure delays and travel times. A departure delay estimation model is developed to account for real-time information inaccuracy. A novel Markov decision model is formulated and solved with online backward induction. Through synthetic experiments and case studies, we demonstrate that dynamic routing with real-time information can improve delivery reliability and reduce expected cost.     

Is doing good good for you? how corporate charitable contributions enhance revenue growth

This study examines the impact of corporate philanthropy growth on sales growth using a large sample of charitable contributions made by U.S. public companies from 1989 through 2000. Applying Granger causality tests, we find that charitable contributions are significantly associated with future revenue, whereas the association between revenue and future contributions is marginally significant at best. We then identify the mechanism underlying our findings. Our results are particularly pronounced for firms that are highly sensitive to consumer perception, where individual consumers are the predominant customers. In addition, we document a positive relationship between contributions and customer satisfaction. Overall, our evidence suggests that corporate philanthropy, under certain circumstances, furthers firms' economic objectives. Copyright © 2009 John Wiley & Sons, Ltd.     

How social and human capital influence opportunity recognition and resource mobilization in India's handloom industry

Small-scale firms in rural areas play an extremely important role in the development of any country, and especially in developing countries. To understand entrepreneurs who operate in a low-technology industry, we rely on the network perspective on entrepreneurship. In this paper, we investigate how the social and human capital of entrepreneurs (in this case master weavers in the handloom industry) influence their ability to recognize opportunities and mobilize resources. In addition to examining the direct effects, we also explore the possibilities of social capital mediating between human capital, on the one hand, and opportunity recognition and resource mobilization on the other. This paper adds to existing literature in two ways: firstly, we expand the social capital paradigm by including different cultural settings and links to existing studies regarding small enterprises. Secondly, we provide additional evidence to the ongoing debate as to what constitutes a ‘good network’.     

Socioeconomic impacts of school feeding programmes: empirical evidence from a South Indian village

Tamil Nadu a poverty-stricken rural community in South India, funds a school feeding program with about 10% of the state budget. Comparisons of nutrition and literacy show that they are significantly related. No studies have yet been performed to analyse the effect of the feeding programs on aspects of a household's economic and social welfare. The feeding program in Tamil Nadu extends throughout the year, 7 days a week. It provides not only a reason for children to attend school, but also employment opportunities for those who wish to cook. 455 households were surveyed from 1 village using. A Gini coefficient of inequality to determine inequality levels of nutrition, food, and consumption expenditure. Sen's index of poverty was used to calculate the reduction in poverty levels. 3 household groups were defined: the agricultural labor, the silk weaver, and the cultivator. Linear program modelling utilized these 3 groups to study the total effect of nutrition on education. Linear regression was then used to determine the effect of the feeding program on participation in school. At the village level, a reduction of inequality in consumption and intake, an increase in energy intake, and a decrease in poverty level were found. In agricultural labor and silk weaver households, most of the money was spent on cereal food grains and children were mostly uneducated. If modelled to assume that children must be educated and are educated in schools providing food, results suggest that the increase in nutrition helps retain the children in the schools. Cultivator household response to the food programs was poor, since they usually have enough money to meet nutritional needs. Household income and school nutrition, but not adult literacy affect school participation. In general, nutrition offered in school caused a subsequent increase in household purchases of non-cereal items in the first 2 household types.     

Supervisor and Market Analysts: What Should Research be Seeking?

This article is primarily directed towards examining the desirability of incorporating market signals in the process of supervision of commercial banks by regulators and insurers. But the ideas developed here can also be applied to the general problem of using market information to assess the solvency and safety of any financial or non-financial institution.Market prices and yields of securities anticipate actions by regulators, central banks, and other players due to the fact that such actions may materially influence the risk and the expected return associated with investment decisions pertaining to those securities. It is well known that the yield curve of government securities such as T-bills, T-notes and T-bonds reflect the market's consensus regarding the actions that the Federal reserve may take as they pertain to the valuation of such securities. The extent to which the market has already discounted the future actions of the central bank will no doubt play a role in the way in which the central bank may think about its actions, its actual effect and how it relates to its intended effects.The extent to which market prices can provide useful guides depends on the underlying market structure and the practices in the industry.While markets may do lot of the hard work in aggregating and incorporating future actions, the task of supervision and regulation can never be put on automatic pilot. Ideally, supervisory policies should effectively combine the market signals with initiatives that serve to maintain the safety and the soundness of the underlying markets. I will begin by exploring the extent to which equity prices may be used as a signal of bank credit risk. I will then explore the advantages and disadvantages of using subordinated debt securities to derive a market signal.     

Valuation of Landmass Degradation Using Fuzzy Hedonic Method: A Case Study of National Capital Region

A Hedonic model to determine the revealed willingness to pay for landmass of different suitability classes, based on landmass functional characteristics obtained through subjective assessments, is developed for the National Capital Region in India. The inherent non-specificity involved in subjective evaluation is minimized using fuzzy logic based regression technique. The proposed fuzzy regression involves regression using central values of triangular fuzzy number and minimization of non-specificity using linear programming. The revealed willingness-to-pay for landmass of different suitability classes is used for valuation of disbenefits due to urban expansion on landmass of different agricultural suitability classes in National Capital Territory of Delhi. Appropriate pricing policies to prevent the future inappropriate landuse practices are developed using the landmass valuation.