Is investment decision-making influenced by perceptions relating to auditors’ client dependence and amount of audit fees?

The objectives of this study are to examine whether investing decisions are affected by knowledge about the auditor's revenue dependence on a client and whether the amount spent by a company on audit fees affects decisions to invest in the company. A behavioral experiment is conducted where risk assessments and investing decisions are made for four hypothetical investing scenarios. The study finds that investing decisions are affected by knowledge about an auditor's revenue dependence on a client, but are not affected by knowledge about the size of a client's audit fees.     

The Effects of Ambiguous Information on Initial and Subsequent IPO Returns

Newly public companies must disclose significant risk factors in the offering prospectus. These disclosures are examples of “soft” or ambiguous information. Ambiguity models predict that investors will alter their portfolio weights and react to subsequent signals about such information. We test for these effects in a sample of 1,398 initial public offerings (IPOs) using word count ratios between soft and hard information as measures of ambiguity. We find a significant relationship between the soft information on risk and both initial and ex post measures of returns. These results support the view that soft information embeds ambiguity and that it influences investors’ portfolio choices.     

Chinese consumer decision-making styles: A comparison between the coastal and inland regions

China is rapidly becoming an important market for consumer goods, but relatively little is known about variations in consumer shopping patterns in different regions of China. We employ a cultural materialism perspective in understanding decision-making styles of inland and coastal shoppers. Our findings reveal that consumers in the two regional markets do not differ in utilitarian shopping styles but they do in hedonic shopping styles. Marketers need to understand these differences to be able to market effectively to consumers in different regional markets within China.     

UNDERSTANDING THE FINANCIAL CONSEQUENCES OF THE BULLWHIP EFFECT IN A MULTI‐ECHELON SUPPLY CHAIN

This article is concerned with how supply chain strategies can mitigate the Bullwhip Effect and inflated inventories from the perspective of the central firm (typically a manufacturer) in the supply chain. We first outline a base case scenario with a validated system dynamics simulation model, using supply chain characteristics as reported by a real firm, in this case a Mexican electronics supplier to U.S. automobile assemblers. We find, surprisingly, that a lower Bullwhip Effect Index (BE) does not always lead to lower costs in the supply chain studied. Furthermore, sensitivity analysis suggests some interesting, counterintuitive results. The implications of these findings are further developed as we test how lead time reduction can also reduce the Bullwhip Effect in the simulated setting.     

Applying financial portfolio and multiple criteria approaches to product line decisions

This article describes the application of decision rules from financial portfolio theory to the evaluation of product lines. The focus is on the risk/return implications of an “add” decision to the total portfolio versus the individual product. Multiple criteria approaches that aid product line evaluations are also presented.     

A taxonomy of manpower—educational planning models

In the last decade the literature has recorded several works concerned with the applications of network flow-like models to the area of manpower planning, and specifically the management manpower training program to assure that supply will meet the demand. Because the system which these models attempt to describe and/or decisions which they prescribe are rather complex in the real world, each of these models has imbedded in them certain simplifying assumptions. On the other hand, each incorporates different aspects of what is real. This paper develops a taxonomy of the landmark developments in this area. The taxonomical schema is then used to unify the models in consideration of the decision factors used. The schema envisions a general model containing all the factors which are explicitly or implicitly considered in the existing literature as being germane. The schema lends itself to both the identifying of those models which might be of interest and not available in the literature on the one hand and it shows in bold relief the similarities and differences between existing models.     

Efficient rank tests for semiparametric competing risk models

We consider a semiparametric competing risk model given by k independent survival times. The paper offers an asymptotic treatment of tests for the semiparametric null hypothesis of equality of the underlying risks. It turns out that modified rank tests are asymptotically efficient for certain semiparametric submodels, where the baseline hazard is a nuisance parameter. In addition, the asymptotic relative efficiency of the present tests is derived. A comparison of asymptotic power functions can then be used to classify various tests proposed earlier in the literature. For instance a chi-square type test is efficient for proportional hazards. Data driven tests of likelihood ratio type are proposed for cones of alternatives. We will consider certain stochastically increasing alternatives as a special example. The paper shows how the concept of local asymptotic normality of Le Cam works for hazard oriented models.     

The analytics of search with posted prices

Summary. This paper investigates the characteristics of the optimal posted price in the standard sequential search paradigm. Much of the intuition gleaned from the extensive sequential search literature in which the seller adopts a reservation price does not carry over to the posted price setting. For example, an increase in buyer valuations can lead to a reduction in the optimal posted price. We do, however, provide sufficient conditions on the hazard rate function h which ensure that an increase in demand induces an increase in the optimal posted price. As exhibited herein, the analysis of the posted price model depends critically upon analytical properties of h. Amongst the issues treated are the elasticity of demand, finite horizon, sale of multiple units, and competitive equilibrium. Received: October 21, 1999; revised version: March 7, 2000