Stevens Institute of Technology

About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Computer science & Cognitive radio. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.

Understanding Antecedents of New Product Development Speed: A Meta-Analysis

Abstract: New product development (NPD) speed is a key component of time-based strategy, which has become increasingly important for managing innovation in a fast-changing business environment. This meta-analytic review assesses the generalizability of the relationships between NPD speed and 17 of its antecedents to provide a better understanding of the salient and cross-situationally consistent factors that affect NPD speed. We grouped the antecedents into four categories of strategy, project, process, and team, and found that process and team characteristics are more generalizable and cross-situationally consistent determinants of NPD speed than strategy and project characteristics. We also conducted subgroup analyses and found that research method variables, such as level of analysis, source of data, and measurement of speed, moderate the relationships between NPD speed and its antecedents. We apply the study’s findings to assess several models of NPD speed, such as the balanced model of product development, the strategic orientation and organizational capability model, the compression versus the experiential model, the centrifugal and centripetal model, and the product development cycle time model. We also discuss the implications of our findings for research and practice.

Window factor analysis: Theoretical derivation and application to flow injection analysis data

Abstract: Window factor analysis (WFA) is a self-modeling method for extracting the concentration profiles of individual components from evolutionary processes such as flow injection, chromatography, titrations and reaction kinetics. The method takes advantage of the fact that each component lies in a specific region along the evolutionary axis, called the window. Theoretical equations are derived. The method is used to extract the concentration profiles and spectra of seven bismuth species from data obtained by Gemperline and Hamilton, who injected bismuth perchlorate into a flowing stream of hydrochloric acid.

Risk management, project success, and technological uncertainty

Abstract: In times of increased competition and globalization, project success becomes even more critical to business performance, and yet many projects still suffer delays, overruns, and even failure. Ironically, however, risk management tools and techniques, which have been developed to improve project success, are used too little, and many still wonder how helpful they are. In this paper we present the results of an empirical study devoted to this question. Based on data collected on over 100 projects performed in Israel in a variety of industries, we examine the extent of usage of some risk management practices, such as risk identification, probabilistic risk analysis, planning for uncertainty and trade-off analysis, the difference in application across different types of projects, and their impact on various project success dimensions. Our findings suggest that risk management practices are still not widely used. Only a limited number of projects in our study have used any kind of risk management practices and many have only used some, but not all the available tools. When used, risk management practices seem to be working, and appear to be related to project success. We also found that risk management practices were more applicable to higher risk projects. The impact of risk management is mainly on better meeting time and budget goals and less on product performance and specification. In this case, we also found some differences according levels of technological uncertainty. Our conclusion is that risk management is still at its infancy and that at this time, more awareness to the application, training, tool development, and research on risk management is needed.