Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.     

EXPLORING THE POTENTIAL EFFECTS OF FORECASTER MOTIVATIONAL ORIENTATION AND GENDER ON JUDGMENTAL ADJUSTMENTS OF STATISTICAL FORECASTS

The growing adoption of demand collaboration initiatives such as Collaborative Planning, Forecasting, and Replenishment (CPFR) has made judgmental adjustments of forecasts, an already widespread forecasting practice, an increasingly routine part of many logistics managers' responsibilities. This article investigates how logistics managers might improve forecast accuracy by judgmentally adjusting statistical forecasts and potential factors that may influence the effectiveness of such adjustments. In particular, our goal is to expand current knowledge in this area by focusing on individual differences, specifically motivation and gender, which have been thus far neglected in the extant literature. Our findings indicate that motivation has a significant effect on accuracy improvement and this relationship is moderated by gender. Managerial implications of these findings and future research opportunities are also presented.     

Deforestation, corruption, and private ownership in the forest sector

One of the remedies launched in combating corruption in the forest sector is privatization of state forests (and private forest ownership). We hypothesized that privatization could reduce deforestation through reducing corruption. We found a statistically significant strong positive relation between corruption and deforestation for the period between 1995 and 2008 by using two different corruption indices and panel data, a highly statistically significant negative correlation between private forest ownership and corruption across countries by using univariate and multivariate models for three different corruption indices, and a highly statistically significant negative correlation between private forest ownership and deforestation across countries by using univariate and multivariate models.     

The interaction of retail density and music tempo: Effects on shopper responses

Research examining the effects of store environment on shoppers has found that a number of atmospheric cues have significant effects on shoppers' cognitive, affective, and behavioral responses. To date, retail atmospheric cues have been studied in isolation, instead of simultaneously, like they occur in the retail setting. This study examines the interactive effects of two atmospheric cues—retail density and music tempo—and their impact on shopper responses within a real shopping environment. Based on the schema incongruity model, it is found that shopper hedonic and utilitarian evaluations of the shopping experience are highest under conditions of slow music/high density and fast music/low density. Significant main effects of music tempo are found for behavioral responses such as approach/avoidance tendency and extent of browsing behavior. The results underscore the need to examine interactive effects of atmospheric cues to better understand the impact of the store environment on shoppers. © 2005 Wiley Periodicals, Inc.     

Impact of private forest ownership on deforestation and poverty

We analyzed the impact of private forest ownership on deforestation and poverty. Using multivariate cross-section models, we identified a statistically significant negative correlation between private forest ownership and deforestation and a statistically significant negative correlation between private forest ownership and poverty. Our study presents the importance of privatization in the forest sector and stimulation of private forestry to combat deforestation and poverty.     

Determinants of Interest Rate Pass-through for Emerging Market Economies: The Role of Financial Market Structure

It is essential for central banks to assess whether or not the pass-through from monetary policy rates to credit and deposit interest rates is complete in order to ensure price stability. In this article, we analyze interest rate pass-through process for emerging market economies. Since emerging market countries lack large panel data sets that are typically available for developed countries, it is hard to analyze the determinants of pass-through coefficients for emerging market countries. To overcome the data issue, we developed a country selection procedure that minimizes heterogeneity among the countries included in the analysis. Our findings indicate that banking sectors?? competition plays a more important role for emerging market countries than their developed counterparts.     

Proactive planning for catastrophic events in supply chains

Supply chains are increasingly vulnerable to catastrophic events such as hurricanes or terrorist attacks. This is not only true because firms are more exposed to catastrophes, but also the result of investments made in recent years to operate supply chains with fewer human and capital resources, especially inventory. Consequently, there is today less “slack” available in supply chains to deal with catastrophic events. Thus, proactively planning for these types of events should be a priority for supply chain managers. A catastrophic event has a very low probability of occurrence but has significant consequences if it does occur. The goal of this research is to develop a process to proactively plan for catastrophic risk events through an integration of diverse research streams related to the management of risk. In particular, the proposed process builds upon an existing risk analysis framework by incorporating an innovative methodology used by the insurance industry to quantify the risk of multiple types of catastrophic events on key supply chain locations.     

The Asset Price Theory of Shareholder Revaluations: Tests with the Tax Reforms of the 1980s

A tax reform providing incentives for fixed investment may increase shareholder wealth because after-tax cash flows on planned investment increase. Alternatively, shareholder wealth may decline because existing assets receive disadvantageous tax treatment relative to new ones and equities are largely claims on existing assets. This study tests the alternative hypothesis by predicting in a simulation model the revaluation of existing assets resulting from the 1981 and 1986 tax acts and then by comparing the predictions to stock returns data. The results reject the hypothesis that cumulative excess returns accruing because of tax reform equal the revaluation on existing assets.     

Lean, leaner, too lean? The inventory-performance link revisited

While firms increasingly adopt lean inventory practices, there is limited evidence that inventory leanness leads to improved firm performance. This study reexamines this relationship in an attempt to overcome some shortcomings of previous research. To that end, a theory-based measure of inventory leanness, which takes into account industry-specific inventory management characteristics, is proposed. The analysis of a large panel data set of U.S. manufacturing companies reveals that the significance and shape of the inventory-performance relationship varies substantially across industries. This relationship is significant in two-thirds of the 54 industries studied. In most of these instances, the relationship is concave, suggesting that there is an optimum level of inventory leanness beyond which firm performance deteriorates. A post-hoc analysis is conducted to identify industry-level characteristics that may determine the nature the inventory-performance relationship. Managerial implications are discussed and several opportunities for future research are outlined.