Consumer Behavior

Affluent investor mutual fund decisions are probed. Several different investor profiles are developed from data on approximately 300 affluent investors. These investor types differ in sources of information regarding mutual fund investments, particularly the use of financial advisers, and in the selection criteria employed for mutual fund purchases. In addition, they have distinguishable mutual fund behavior and demographic characteristics. Specific implications for financial services firms are developed.

Presents data about which dimensions led to greater optimism with more fundamentalism. Three dimensions of explanatory style; Differences among the fundamentalists, moderates and liberals; Factors responsible for greater optimism among fundamentalists.

We show for the general dynamic lot sizing model how minimal forecast horizons may be detected by a slight adaptation of an earlier 0(n log n) or 0(n) forward solution method for the model. A detailed numerical study indicates that minimal forecast horizons tend to be small, that is, include a small number of orders.

We address the Joint Replenishment Problem (JRP) where, in the presence of joint setup costs, dynamic lot sizing schedules need to be determined for m items over a planning horizon of N periods, with general time-varying cost and demand parameters. We develop a new, so-called, partitioning heuristic for this problem, which partitions the complete horizon of N periods into several relatively small intervals, specifies an associated joint replenishment problem for each of these, and solves them via a new, efficient branch-and-bound method.

This research proposes that negotiators consider each other's payoffs in their evaluation of potential settlements beyond the level necessary to maintain the bargaining relationship. We further hypothesize that the way in which negotiators weight their opponents' payoffs, relative to their own, is a function of characteristics of the relationship and of the bargainers' personalities. Specifically, we consider liking of the other party, payoff expectations, satisfaction with past settlements, the likelihood of future negotiations, egocentricity, and power orientation.

In this paper we develop a model for a capacitated production/distribution network of general (but acyclic) topology with a general bill of materials, as considered in MRP (Material Requirement Planning) or DRP (Distribution Requirement Planning) systems. This model assumes stationary, deterministic demand rates and a standard stationary cost structure; it is a generalization of the uncapacitated model treated in the seminal papers of Maxwell and Muckstadt (1985) and Roundy (1986).

In this chapter we discuss planning models for multi-echelon systems which allow for uncertain and nonstationary demand and lead time processes. We confine ourselves to so-called PUSH systems with a central decision maker, who possesses continuously or periodically updated information about all inventories of all products at all relevant facilities and production stages; all replenishment decisions in the system are determined centrally on the basis of this information.

We develop a simple O(n log n) solution method for the standard lot-sizing model with backlogging and a study horizon of n periods. Production costs are fixed plus linear and holding and backlogging costs are linear with general time-dependent parameters. The algorithm has linear [O(n)] time complexity for several important subclasses of the general model. We show how a slight adaptation of the algorithm can be used for the detection of a minimal forecast horizon and associated planning horizon.

We consider an inventory system with compound Poisson demands replenished by discrete production of units on a single-server facility. This facility may start a vacation at any production completion epoch; at the completion of a vacation the inventory level is inspected to decide whether or not to resume production. Unit production and vacation times are independent and identically distributed with general distributions.