An exploratory study of exclusive dealing in channel relationships

The channel literature has paid little attention to issues related to exclusive dealing governance arrangements. Consequently, there is only limited knowledge about how exclusive dealing impacts various channel processes and outcomes. This gap is especially regrettable since exclusive dealing, in addition to being one of the most commonplace governance formats within the distribution channels, is also one of the best exemplars of viable unilateral governance formats. In this initial investigation, the authors explore the linkages among the constructs of exclusive dealing, relationalism, communication, and performance. Empirical data for the study were drawn from the photocopier industry. He obtained his M.B.A. and D.B.A. degrees from Boston University. His primary research interest includes channels of distribution, franchisor-franchisee relationships, and consumer purchase behavior in international contexts. He has published articles inJournal of Marketing Channels and the proceedings of several marketing conferences. This article was crafted when Rajiv Dant was at Boston University. He received his M.B.A. from Bombay University and his Ph.D. from Virginia Polytechnic Institute and State University. His research focuses on channels of distribution, with primary emphasis on franchise structure, franchisee-franchisor relationships, and public policy aspects of franchising growth and ownership topics. His research has been published inJournal of Marketing, Journal of Public Policy & Marketing, Research in Marketing, Journal of Retailing, Journal of Business Research, Journal of Business Venturing, Journal of the Operations Research Society, Marketing Letters, Journal of Small Business Management, Journal of Economic Psychology, Southern Business & Economics Journal, Philosophical and Radical Thought in Marketing, Journal of Healthcare Marketing, Journal of Marketing Channels, andInternational Small Business Journal.     

The quality and effectiveness of marketing strategy: Effects of functional and dysfunctional conflict in intraorganizational relationships

By examining only dysfunctional conflict and ignoring functional conflict, empirical research in marketing has presented only part of the story. This research offers the first systematic look at the antecedents and consequences of both functionaland dysfunctional conflict in intraorganiational relationships. The authors develop and empirically test a causal model for key organizational antecedents of new product strategy quality and market performance. They find that dysfunctional conflict in the decision-making process has deleterious consequences for quality of strategy and market performance, whereas functional conflict improves both quality of strategy and performance. Specifically, organizational design characteristics such as formalization, interdepartmental interconnectedness, low communication barriers, and team spirit improve new product performance by enhancing functional conflict, whereas centralization and high communication barriers lower new product performance by increasing dysfunctional conflict. A post hoc test for common method bias or variance suggests that bias or variance alone cannot explain these findings. His general research interests focus on strategic issues relating to internal relationships, market learning, and organizational context of marketing strategy. His research has been published in theJournal of Marketing, Journal of Business Research, Journal of Advertising Research, Journal of Advertising, andJournal of Services Marketing, among others. His general research interests focus on strategic issues relating to relationship marketing, firm performance, sustainable competitive advantage, timing of market entry, and information technology. His past research has been published in theJournal of Marketing, Journal of Business Research, Journal of Services Marketing, andMarketing Education Review, among others. His research interests are in the areas of marketing research methods, structural equations modeling, cellular automata theories and methods, and Taoist methodologies for marketing strategy. His research has been published in theJournal of Marketing, Journal of Marketing Research, andJournal of the Academy of Marketing Science, among others.     

The value of combining the information content of analyst recommendations and target prices

In assessing the usefulness of the analysts’ stock picking advice, the extant literature has largely focused on the profitability of either their stock recommendations or target prices in isolation. In this paper, we examine the profitability of investment strategies that exploit the information analysts convey through revisions in both their stock recommendations and target prices. We find that these strategies significantly outperform the comparable strategies that make use of only one analyst output.     

EFFECTS OF SECTOR AGGREGATION ON CO2 MULTIPLIERS IN MULTIREGIONAL INPUT–OUTPUT ANALYSES

The past few years have seen the emergence of several global multiregional input–output (MRIO) databases. Due to the cost and complexity of developing such extensive tables, industry sectors are generally represented at a rather aggregate level. Currently, one of the most important applications of input–output analysis is environmental assessments, for which highly aggregate sectors may not be sufficient to yield accurate results. We experiment with four of the most important global MRIO systems available, analyzing the sensitivity of a set of aggregate CO₂ multipliers to aggregations in the MRIO tables used to calculate them. Across databases, we find (a) significant sensitivity to background system detail and (b) that sub-sectors contained within the same aggregate MRIO sector may exhibit highly different carbon multipliers. We conclude that the additional information provided by the extra sector detail may warrant the additional costs of compilation, due to the heterogeneous nature of economic sectors in terms of their environmental characteristics.     

Making judgment calls. The ultimate act of leadership

According to the traditional view, judgment is an event: You make a decision and then move on. Yet Tichy, of the University of Michigan's Ross School of Business, and Bennis, of the University of Southern California's Marshall School of Business, found that good leadership judgment occurs not in a single moment but throughout a process. From their research into the complex phenomenon of leadership judgment, the authors also found that most important judgment calls reside in one of three domains: people, strategy, and crisis. Understanding the essence of leadership judgment is crucial. A leader's calls determine an organization's success or failure and deliver the verdict on his or her career. The first phase of the judgment process is preparation--identifying and framing the issue that demands a decision and aligning and mobilizing key stakeholders. Second is the call itself, And third is acting on the call, learning and adjusting along the way. Good leaders use a "story line"--an articulation of a company's identity, direction, and values--to inform their actions throughout the judgment process. Boeing CEO Jim McNerney, for instance, focused on a story line of Boeing as a world-class competitor and ethical leader to make a judgment call that launched the company's recovery from a string of ethical crises. Good leaders also take advantage of "redo loops" throughout the process, reconsidering the parameters of the decision, relabeling the problem, and redefining the goal in a way that more and more people can accept. Procter & Gamble's A.G. Lafley and Best Buy's Brad Anderson have both used redo loops--in preparation and execution, respectively--to strengthen not only support for their calls but also the outcomes.     

Pseudo empirical likelihood method in the presence of missing data

In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study.     

On Conditional Density Estimation

With the aim of mitigating the possible problem of negativity in the estimation of the conditional density function, we introduce a so-called re-weighted Nadaraya-Watson (RNW) estimator. The proposed RNW estimator is constructed by a slight modification of the well-known Nadaraya-Watson smoother. With a detailed asymptotic analysis, we demonstrate that the RNW smoother preserves the superior large-sample bias property of the local linear smoother of the conditional density recently proposed in the literature. As a matter of independent statistical interest, the limit distribution of the RNW estimator is also derived.