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.

The impacts of speed-to-market on new product success: the moderating effects of uncertainty

Abstract: Time-based strategy is becoming an important weapon to achieve competitive advantage in the current environment of fast-changing technology and customer requirements. Speed-to-market has become the mantra of both researchers and practitioners in new product development (NPD), but there are limited and conflicting findings on the relationship between speed-to-market and product success. A more important question is whether faster is always better. In a study of 692 NPD projects, we examined the relationship between speed-to-market and new product success (NPS) under different conditions of uncertainty. Our results indicate that speed-to-market is generally positively associated with overall NPS, but market uncertainty moderates the direct effect. Speed-to-market is less important to NPS under conditions of low market uncertainty. Our results also suggest that technological uncertainty does not affect the speed-success relationship. The implication is that it is more important to execute a time-based strategy in an unfamiliar, emerging, or fast-changing market than in a familiar, existing, and stable market. The limitations and future research related to these results are discussed.

Network-assisted diversity for random access wireless networks

Abstract: A novel viewpoint to the collision resolution problem is introduced for wireless slotted random access networks. This viewpoint is based on signal separation principles borrowed from signal processing problems. The received collided packets are not discarded in this approach but are exploited to extract each individual user packet information. In particular, if k users collide in a given time slot, they repeat their transmission for a total of k times so that k copies of the collided packets are received. Then, the receiver has to resolve a k/spl times/k source mixing problem and separate each individual user. The proposed method does not introduce throughput penalties since it requires only k slots to transmit k colliding packets. Performance issues that are related to the implementation of the collision detection algorithm are studied. The protocol's parameters are optimized to maximize the system throughput.

A Bayesian game approach for intrusion detection in wireless ad hoc networks

Abstract: In wireless ad hoc networks, although defense strategies such as intrusion detection systems (IDSs) can be deployed at each mobile node, significant constraints are imposed in terms of the energy expenditure of such systems. In this paper, we propose a game theoretic framework to analyze the interactions between pairs of attacking/defending nodes using a Bayesian formulation. We study the achievable Nash equilibrium for the attacker/defender game in both static and dynamic scenarios. The dynamic Bayesian game is a more realistic model, since it allows the defender to consistently update his belief on his opponent's maliciousness as the game evolves. A new Bayesian hybrid detection approach is suggested for the defender, in which a lightweight monitoring system is used to estimate his opponent's actions, and a heavyweight monitoring system acts as a last resort of defense. We show that the dynamic game produces energy-efficient monitoring strategies for the defender, while improving the overall hybrid detection power.

Project success: a multidimensional, strategic concept

Abstract: Summary form only given. What does project success mean? When a project is completed on time and within the original budget, is it a success? Or even when it fails to meet these objectives but succeeds in meeting its specified requirements, is it then a successfully completed project? The objective of this work is to develop a universal framework for the assessment of project success to help organizations cope with the above questions. We view project success as a strategic multidimensional concept where project efforts must be aligned with the strategic long-term goals of the organization. We employ in this study a combination of qualitative and quantitative methods, and two data sets which included more than 140 projects. Using a project specific approach, our analysis resulted in four distinct success dimensions: (1) project efficiency, (2) impact on the customer, (3) direct business and organizational success, and (4) preparing for the future. These dimensions represent different points of view, different concerns of the organization, and different time horizons. We demonstrate how the relative importance of these dimensions varies with the time passed since project completion, as well as with the project type. Finally, we provide a set of guidelines for project managers and policy makers at the top level.