SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP

Vendor Managed Inventory (VMI) involves the vendor making the replenishment decision for products supplied to a customer based on various inventory and supply chain policies. Information sharing between supply chain members is required in VMI. Sometimes VMI decisions are delayed and/or the information shared is inaccurate. This research examines the effects of information delay and accuracy, and the sharing of sales and forecast information in a VMI environment facing stationary and nonstationary demand. The simulation experiments show the impact of information delay, information inaccuracy, and information sharing on a variety of performance measures, including inventory levels and fill rates.     

An integrated algorithm for three-way compositional data

Quality & Quantity - Compositional data with a tridimensional structure are not uncommon in social sciences. The CANDECOMP/PARAFAC model is one of the most adequate techniques for modeling...     

Erosion mitigation in the Waikato District,New Zealand: economic implications for agriculture

Soil erosion, in its various forms, is caused or aggravated by agricultural activities. Mitigation of surface erosion comprises the construction of shelterbelts, fencing, riparian buffering, and stock reduction. Mitigation of mass‐movement erosion, in turn, takes the form of spaced planting of trees to maintain a persistent, healthy, and complete ground cover. In this article, we assess the economic implications to agriculture of the adoption of mitigation alternatives for erosion control in the Waikato District, New Zealand. The Waikato District presents a spatial pattern of erosion that affects profitability of dairy, and sheep and beef enterprises. We use the Universal Soil Loss Equation and the New Zealand Empirical Erosion Model to estimate erosion figures that are then fed into an economic‐focused, nonlinear, partial equilibrium mathematical programming model of New Zealand land use. Different scenarios are constructed for surface and mass‐movement soil erosion targets ranging from 0% to 50% below baseline levels. We find that achieving surface erosion targets is more expensive than mass‐movement targets, and results in different responses in regional‐level costs, land use, enterprise net revenue, and adoption of mitigation alternatives.     

The Effect of Social Security Contributions on Coverage and Wages: A Gender Perspective Using a Natural Experiment from Colombia

This article investigates, from a gender and marital status perspective, the effects of pension and health care contributions on the employment and wages of workers covered by social security regulations. To do this, I use as a natural experiment a reform implemented in Colombia during the mid‐1990. In particular I employ a differences‐in‐differences estimation based on an endogenous switching‐regression model that accounts for self‐selection into coverage. My results indicate that, for females, a 10% increase in contributions reduces the relative wages of covered workers by 7.2%. On the other hand, for males, the reform increases the relative wages of covered workers by 7.1%. Among females, the effect is predominantly present in single women. Among men, divorced and widowed workers are the only group not to experience an effect on earnings. For most family groups, the social security reform has no significant effect on coverage.     

Transnational corporations' strategies and foreign trade patterns in MERCOSUR countries in the 1990s

Market-seeking strategies predominate in the recent FDI boomin MERCOSUR countries. In the trade performance of transnationalcorporation affiliates a sort of ‘asymmetric integration’is clearly visible: they produce for the internal market and,to some extent, for the regional one, while import inputs andfinal goods from developed countries (and a significant partof these trade flows is intra-firm). Thus, even if affiliatesobtained productivity gains in the 1990s, they have not yetbeen reflected in a significant increase in exports, and evenless in extra-regional exports. Hence, the foreign direct investmentboom seemingly has not yet contributed to a better insertionof MERCOSUR countries into the world economy.     

“Why did I do this?”: Understanding leadership behavior through a dynamic five‐factor model of leadership

Leadership theories referring to complex adaptive system theory (CAS) describe leadership as a dynamic process of interdependent, cooperating agents. However, research on leadership behavior focuses mainly on the leader as an influencing, active agent. This article offers a different perspective by focusing on factors that influence leadership behavior. A dynamic five‐factor model of leadership is introduced, which identifies (1) the leader's individual competence, (2) the group, (3) the organization, (4) the context, and (5) the immediate situation as all influencing factors on leadership behavior. To address the problem of the procedural nature of leadership behavior, the dynamic five‐factor model is combined with a scenario‐based approach. The scenario approach focuses on situational developments in a given context, whereby a previous situation influences a leader's behavior in the subsequent situation. By integrating the dynamic five‐factor model into a scenario approach, one can understand a leader's behavior in its procedural nature. The practical usability of the dynamic five‐factor model and the scenario approach was assessed in a leadership development program with 81 military officers. Structured feedback from participants indicated that the model and the approach were perceived as helpful and relevant for understanding leadership behavior.     

SEMIPARAMETRIC VECTOR MEM

Financial time series are often non‐negative‐valued (volumes, trades, durations, realized volatility, daily range) and exhibit clustering. When joint dynamics is of interest, the vector multiplicative error model (vMEM; the element‐by‐element product of a vector of conditionally autoregressive scale factors and a multivariate i.i.d. innovation process) is a suitable strategy. Its parameters can be estimated by generalized method of moments, bypassing the problem of specifying a multivariate distribution for the errors. Simulated results show the gains in efficiency relative to an equation‐by‐equation approach. A vMEM on several measures of volatility justifies a joint approach revealing full interdependence. Copyright © 2012 John Wiley & Sons, Ltd.     

Information Externalities,Neighborhood Characteristics and Home Mortgage Pricing and Underwriting

Theories of rational redlining suggest thinness in housing markets should lead to greater uncertainty in house price appraisals, increasing mortgage denial rates or pricing. Empirical tests found support for this theory in mortgage underwriting using 1990s data. Using 2006 data and bank‐specific regression models, we revisit this topic in light of two developments leading to the recent mortgage bubble: the widespread securitization that allowed banks to shift loan risk to investors and the advent of risk‐based pricing. Consistent with expectations, we find that information externalities have become economically very small and have shifted from underwriting to pricing decisions.