Inventory accuracy in 60 days!

Despite great advances in manufacturing technology and management science, thousands of organizations still don't have a handle on basic inventory accuracy. Many companies don't even measure it properly, or at all, and lack corrective action programs to improve it. This article offers an approach that has proven successful a number of times, when companies were quite serious about making improvements. Not only can it be implemented, but also it can likely be implemented within 60 days per area, if properly managed. The hardest part is selling people on the need to improve and then keeping them motivated. The net cost of such a program? Probably less than nothing, since the benefits gained usually far exceed the costs. Improved inventory accuracy can aid in enhancing customer service, determining purchasing and manufacturing priorities, reducing operating costs, and increasing the accuracy of financial records. This article also addresses the gap in contemporary literature regarding accuracy program features for repetitive, JIT, cellular, and process- and project-oriented environments.     

Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns

In this study we examine the association among confirming management forecasts, stock prices, and analyst expectations. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. This study provides evidence that these voluntary disclosures affect stock prices and the dispersion of analyst expectations. Specifically, we find that the market's reaction to confirming forecasts is significantly positive, indicating that benefits accrue to firms that disclose such forecasts. In addition, although we find no significant change in the mean consensus forecasts (a proxy for earnings expectations) around the confirming forecast date, evidence indicates a significant reduction in the mean and median consensus analyst dispersion (a proxy for earnings uncertainty). Finally, we document a positive association between the reduction of dispersion of analysts' forecasts and the magnitude of the stock market response. Overall, the evidence suggests that confirming forecasts reduce uncertainty about future earnings and that investors price this reduction of uncertainty.     

Debt in industry equilibrium

This article shows (1) how entry and exit of firms in a competitiveindustry affect the valuation of securities and optimal capitalstructure, and (2) how, given a trade-off between tax advantagesand agency costs, a firm will optimally adjust its leveragelevel after it is set up. We derive simple pricing expressionsfor corporate debt in which the price elasticity of demand forindustry output plays a crucial role. When a firm optimallyadjusts its leverage over time, we show that total firm valuecomprises the value of discounted cash flows assuming fixedcapital structure, plus a continuum of options for marginalincreases in debt.     

Technological diversity,related diversification,and firm performance

Previous findings that related diversification creates value have been called into question over concerns about methodology and measures. Reviewing existing theory to consider how a firm's knowledge base interacts with its product market activity, I address several of these concerns by creating a measure of technological diversity based on citation‐weighted patents. The measure indicates a firm's opportunity for corporate diversification based on economies of scope in valuable knowledge assets, is defined for both single‐ and multibusiness firms, and is not correlated with more fundamental aspects of diversification, such as the number of businesses in the corporate portfolio. Evidence from a large sample of firms shows the positive relationship between diversification based on technological diversity and market‐based measures of performance, controlling for R&D intensity and capital intensity as further indicators of the type of assets underlying diversification. Results hold when controlling for the endogeneity of diversification and performance in a cross‐sectional sample or when controlling for unobserved factors using panel data. Copyright © 2006 John Wiley & Sons, Ltd.     

Quantitative Methods for Evaluating the Unilateral Effects of Mergers

We describe the quantitative modeling techniques that are used in horizontal merger review for the evaluation of unilateral effects, and discuss how the 2010 Horizontal Merger Guidelines helped legitimize these methods and motivate scholarly research. We cover markets that feature differentiated products pricing, auctions and negotiations, and homogeneous products, in turn. We also develop connections between quantitative modeling and market concentration screens that are based on the Herfindahl-Hirschman Index (HHI).

     

A typology for defining agritourism

Agritourism has been studied in various ways and contexts. It can be argued, however, that studies have yet to provide a clear and basic understanding of the characteristics that underpin and define agritourism. This paper proposes an original typology for defining agritourism by identifying the key characteristics currently used to define agritourism in the literature and organising them into a transparent and structured framework. For the first time, the agritourism typology clarifies and classifies definitions of agritourism that currently exist in the literature. It therefore offers a comprehensive framework that can be used as a basis for more informed debate and discussion and for future empirical research.     

‘Gone to Gowings’ - An Analysis of Success Factors in Retail Longevity: Gowings of Sydney

Low productivity within service industries has been a major concern, but this situation is unlikely to improve without a general change in the way productivity is measured and managed. This paper aims to illustrate the value of stepwise data envelopment analysis (DEA) for measuring and benchmarking productivity. The issues and problems regarding productivity measurement as well as the advantages of using DEA in productivity measurement are analysed. The article extends current DEA applications by developing a stepwise approach to DEA. The latter technique combines correlation and DEA analysis for developing robust models and sound productivity measurement. The advantages of the proposed methodology are illustrated by applying it to a dataset of three-star hotels in the UK. Six inputs and three outputs are identified as the factors affecting rooms division efficiency in three star hotels.