Integrated Market-Immersion Approach To Teaching New Product Development In Technologically-Oriented Teams

This article presents a market immersion methodology for teaching NPD in technologically-oriented teams. This methodology was developed during the early 1990s at the Lally School of Management and Technology of Rensselaer Polytechnic Institute. Since then, it has been successfully utilized to train in excess of one hundred MBA-level student teams. The NPD course is taught by a 5-member cross-functional team of faculty with backgrounds in marketing, manufacturing operations, and accounting. The course is modeled on Cooper's stage gate process, and the course is designed to provide a combination of classroom and apprenticeship experiences. The 6-credit, year-long course requires students to work in self-directed teams of approximately 5 to 6 members. Each student team chooses its own industry or technology domain in which to concentrate its efforts, and students undertake intensive market and field research in order to assess any existing market opportunities. Once a specific target market and market need have been identified, students are then required to design a product and an organization to meet that need. In specific, students must produce a detailed marketing, manufacturing, operations, advertising, distribution, and financial plan that can bring their product to market. During the process, students create multiple potential product designs, build mock-ups of their products, and field test the mock-ups. At every phase of the course, the teams are continuously immersed in real customer markets. As a result, teams must struggle to incorporate new market information and learning into their project in a consistent and holistic manner. The following article presents the curriculum content and tools, lessons learned, and student reactions to this original pedagogical approach to teaching NPD. Due to the length of the course, particular attention is paid to the teaming issues that naturally arise when teams work together on long-run projects. © 2002 Elsevier Science Inc. All rights reserved.     

Toward A Convergence Theory For Continuous Stochastic Securities Market Models1

This article reviews some recently developed approximation schemes for financial markets with continuous trading. Two methods for approximating continuous-time stochastic securities market models whose exogenously given prices have continuous sample paths are described and compared One method approximates both the paths and the information structure; the other is an approximation in distribution with a Markovian structure. In both cases, the approximating models have a finite state space, discrete time, and possess the same “structural” properties (e.g., “no arbitrage” and “completeness”) as the continuous model. the latter characteristic is an important criterion for judging the merits of the approximations. Taking advantage of the “structure-preserving” characteristic, one can formulate a convergence theory for frictionless markets with continuous trading. the theory provides convergence results for objects such as contingent claim prices, replicating portfolio strategies (hedging policies), optimal consumption policies, and cumulative financial gains (i.e., stochastic integrals), which are constructed along the approximation. the convergence theory enables one to combine the intuitive appeal of discrete models and the analytic tractability of continuous models to provide new insight into the theory of modern financial markets. We survey the current state of such a convergence theory and illustrate the results with some examples of well-known continuous securities market models.     

VOLUNTARY DISCLOSURE OF SEGMENT INFORMATION: FURTHER AUSTRALIAN EVIDENCE

This study provides further empirical evidence on incentives for Australian firms to voluntarily report segment information. Various economic reasons why firms may elect to present segment information have been hypothesised in previous research. Bradbury [1992] and McKinnon and Dalimunthe [1993] found firm size, minority interest and industry membership as significant identifiable characteristics motivating voluntary segmental disclosure. Variables found to be insignificant in Bradbury [1992] which were not examined by McKinnon and Dalimunthe [1993] are tested in this paper. Hypotheses relating to size, financial leverage, assets-in-place, earnings volatility, ownership diffusion, outside equity (minority) interest, overseas association as well as diverse and mining and oil classification hypotheses are empirically examined. Univariate tests and multivariate logit analysis suggest that for a extensive sample of diversified firms, voluntary segment disclosure is significantly related to size, leverage and involvement in mining or oil activities.