Ex ante analysis of the benefits of transgenic drought tolerance research on cereal crops in low-income countries

This article develops a framework to examine the ex ante benefits of transgenic research on drought in eight low-income countries, including the benefits to producers and consumers from farm income stabilization and the potential magnitude of private sector profits from intellectual property rights (IPRs). The framework employs country-specific agroecological–drought risk zones and considers both yield increases and yield variance reductions when estimating producer and consumer benefits from research. Benefits from yield variance reductions are shown to be an important component of aggregate drought research benefits, representing 40% of total benefits across the eight countries. Further, estimated annual benefits of US$178 million to the private sector suggest that significant incentives exist for participation in transgenic drought tolerance research.     

Linking Order Fulfillment Performance to Referrals in Online Retailing: An Empirical Analysis

Referral management for online retailers is a strategically important activity, as referrals offer a highly cost‐effective method of customer acquisition. In fact, online customers mention referrals as the second‐most common reason for choosing to shop at a particular retailer, second only to search engine suggestions. However, while online retailers are able to improve their visibility on search engines through focused keyword insertions, they are often unable to pinpoint the drivers of referral behavior among their customers. The current research examines the relationship between two key dimensions of online retailing: order fulfillment cycle times and referral behavior. Employing a theory of customer appraisal and empirically testing the ensuing model using structural equation modeling, we find that excellent order fulfillment is instrumental in generating referrals for the online retailer, even after factoring in product quality.     

Code of ethics quality: an international comparison of corporate staff support and regulation in Australia,Canada and the United States

The objective of this paper is to examine the ‘Code of Ethics Quality’ (CEQ) in the largest companies of Australia, Canada and the United States. For this purpose, a proposed CEQ construct has been applied. It appears from the empirical findings that while Australia, Canada and the United States are extremely similar in their economic and social development, there may well be distinct cultural mores and issues that are forming their business ethics practices. A research implication derived from the performed research is that the construct provides a selection of observable and measurable elements in the context of CEQ. The construct of CEQ consists of nine measures divided into two dimensions (i.e. staff support and regulation). They should not be seen as a complete list. On the contrary, it is encouraged that others propose and elaborate revisions and extensions. A practical implication of this paper is a structure of what and how to examine the CEQ in a managerial setting. It may assist companies in their efforts to establish, maintain and improve their ethical culture, norms and beliefs within the organization and supporting them in their ethical business practices with different stakeholders in the marketplace and society. The dimensions and measures of the construct may be used as a frame of reference for further research. They may be useful and applicable across contexts and over time using similar samples when it comes to large companies, as small‐ or medium‐sized ones may not have considered all areas nor have the elements in place. This is a research limitation, but it provides an opportunity for further research.     

Analyst following and count-data econometrics

This paper reexamines the determinants of the number of analysts following a firm using econometric models based on count distributions. We replicate Bhushan's (1989) analyst-following study to demonstrate the effects of using count-data econometrics, in lieu of OLS, in studying phenomena where the dependent variable ranges among nonnegative integers. In contrast with the original paper, our findings indicate the number of institutional investors is inversely related with analyst following. We also provide econometric evidence to support the preferred use of the negative binomial model in estimating cross-sectional, analyst-following regressions.