The fuzzy front-end plays a most crucial part in new product development (NPD), leading to the success of product development and product launch in the market. This study proposes a novel method, TTRI_MP, by combining Crawford and Di Benedetto’s model and Cooper’s model, to strengthen the management of the fuzzy front-end. The proposed method comprises four stages: market exploration and techno...

The last few decades has seen a huge transformation in the way businesses are conducted. There has been a paradigm shift from product portfolio based marketing strategies to customer focused marketing strategies. The growth and diversity of the market has greatly profited consumers through higher availability, better quality and lower prices. The same factors however has made it more difficult ...

We present a quantitative approach for IT portfolio management. This is an approach that CMM level 1 organizations can use to obtain a corporate wide impression of the state of their total IT portfolio, how IT costs spent today project into the budgets of tomorrow, how to assess important risks residing in an IT portfolio, and to explore what-if scenarios for future IT investments. Our quantita...

We use a mean-variance model to analyze the problem of decentralized portfolio management. We find the solution for the optimal portfolio allocation for a head trader operating in n different markets, which is called the optimal centralized portfolio. However, as there are many traders specialized in different markets, the solution to the problem of optimal decentralized allocation should be di...

We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a feature-based description of tasks and experts to yield a general framework for managing a portfolio of experts. The model learns an embedding of tasks and problems into a latent space in which affinity is measured by...

In this paper, we offer a new method of managing the risk of unexpected changes in mortality underlying annuities and life insurance. This method maximizes the insurer’s profit margin, subject to constraints on its downside mortality risk. We also show how to determine bounds on mortality margins when information on the moments of the distributions is known. We provide numerical examples to ill...

This paper considers the portfolio management problem for an investor with finite time horizon who is allowed to consume and take out life insurance. Natural assumptions, such as different discount rates for consumption and life insurance lead to time inconsistency. This situation can also arise when the investor is in fact a group, the members of which have different utilities and/or different...

Portfolio optimization requires the minimal risk with certain expected return. The risk structure of securities, such as their exposure to countries, industrial sectors, or commodity/factor, have to be characterized, and then the optimal weights of securities in a portfolio can be determined to minimize the exposure of the portfolio to any specific risk factor. Typically, the risk factors are n...

This paper gives a full and detailed account of the design and development of a web-based learning portfolio (WBLP) system for authentic assessment, in the hope to help record, display, and monitor student learning process. The functions of the WBLP system include portfolio creation, portfolio browse, portfolio guide, portfolio discussion board, portfolio class bulletin, suggestion board, stude...

In this paper we propose to do portfolio management using reinforcement learning (RL) and independent factor model. Factors in independent factor model are mutually independent and exhibit better predictability. RL is applied to each factor to capture temporal dependence and provide investment suggestion on factor. Optimal weights on factors are found by portfolio optimization method subject to...