Supplier selection is one of the most critical activities of purchasing management in supply chain and managers increasingly face sourcing decisions of how to selected suppliers. This paper illustrates the development of a sourcing decision that provides support for the buyer firm in supply chain.The models developed here, involved selecting between single and dual sourcing. Outside and local s...

the purpose of the present study is to investigate effective factors in making people willing to repurchase sports match tickets online with the approach of extending technology acceptance model. this research is considered applied regarding its purpose, descriptive- survey regarding its method, and is based on structural equation model (sem). the participants are iran's national volleybal...

Tourist purchasing decisions are multi-layered and complex, due to the combination of a number special features: (1) Decisions take place at distance therefore risky; (2) characterized by portfolio logic with large interdependent often substitutive partial (often also depending on in social context, e.g. fellow travelers), (3) tourism production is subject household high degree own operations h...

T paper develops a model of conversion behavior (i.e., converting store visits into purchases) that predicts each customer’s probability of purchasing based on an observed history of visits and purchases. We offer an individual-level probability model that allows for different forms of customer heterogeneity in a very flexible manner. Specifically, we decompose an individual’s conversion behavi...

Marketing managers are responsible for understanding and predicting customer purchasing activity, a task that is complicated by a lack of knowledge of all of the calendar time events that influence purchase timing. Yet, isolating calendar time variability from the natural ebb and flow of purchasing is important, both for accurately assessing the influence of calendar time shocks to the spending...

In this paper, we consider the robust optimal portfolio selection problem where the return mean and covariance are supposed to be uncertain comparing to Markowitz’s model. The return mean is uncertain changing in intervals, and we introduce the cuts of fuzzy number to build the uncertain intervals for covariance. We report on empirical tests in which we compare the robust model with the classic...

In this work introduce an adaptive method of portfolio optimization. The basic idea is to describe essential movements of the stock price using a hidden Markov model and to calculate the optimal portfolio using a recursive algorithm. The portfolio optimization is adaptive in the sense that the standard EM–algorithm fits the model to historical data, which improves the portfolio performance.

We discuss a class of risk-sensitive portfolio optimization problems. We consider the portfolio optimization model investigated by Nagai in 2003. The model by its nature can include fixed income securities as well in the portfolio. Under fairly general conditions, we prove the existence of optimal portfolio in both finite and infinite horizon problems.