N L R B decisions, comprising digests of decisions and orders of the National labor relations board, from July 1, 1937 through November 30, 1939.

"Table of cases": p. 581-594.

Executive decisions and operations research.

Mode of access: Internet.

Decisions and opinions of the Railroad and warehouse commission of the State of Illinois, volume III : being a compilation of Volumes I and II and all decisions since the date of Volume II : from 1889 to August 1st 1912 /

Mode of access: Internet.

Tax court digest; a digest of all reported decisions and appealed memorandum opinions of the Board of Tax Appeals and Tax Court of the United States, from July 16, 1924 to date.

Tax Court digest: current report is issued with it, with separate numbering

Modelling the relationship between local logistics management decisions and overall supply chain performance:A research agenda

Supply chains are advocated widely as being the new units for commercial competition and developments have made the sharing of supply chain wide information increasingly common. Most organisations however still make operational decisions intended to maximise local organisational performance. With improved information sharing a holistic focus for operational decisions should now be possible. The development of a pan supply chain performance framework requires an examination of the conditions under which holistic-decisions provide benefits to either the individual enterprise or the complete supply chain. This paper presents the background and supporting methodology for a study of the impact of an overall supply chain performance metric framework upon local logistics decisions and the conditions under which such a framework would improve overall supply chain performance. The methodology concludes a simulation approach using a functionally extended Gensym's e-SCOR model, together with case based triangulation, to be optimum. Copyright © 2007 Inderscience Enterprises Ltd.

A piaci normák sérülése, üzleti döntések és a vállalati hatékonyság (Violation of market norms, business decisions and firms’ efficiency)

Az üzleti vállalkozások környezetére vonatkozó előfeltevések és ezek érvényesülése keretet szab az üzleti döntésekhez és hat a teljesítményre. A cikkben (a feltételezett, illetve elvárt) piaci normák sérülésének hatékonysági következményeit vizsgálja a szerző. Kiindulásként értelmezi a vállalati hatékonyság fogalmát és külső befolyásoló tényezőit. Ezt követően rendszerezi a nem normasértő üzleti döntéshozók lehetséges válaszait a piaci szereplők (versenytársak, üzleti partnerek) normasértéseire, kitérve arra is, hogy ez milyen hatást gyakorol a hatékonyságra. _______ The decisions and the performance of business corporations are not independent of their environment. The assumed norms provide a framework for the business decisions and the existing norms affect the firms’ performance. The article focuses on the efficiency consequences of the violation of the market norms. It presents the concept of corporate efficiency and its influencing factors. Then the decision makers’ possible answers to the violation of norms are investigated and the efficiency consequences are analyzed.

The impact of bandwidth in structured interviewing and criterion stability in predicting and assessing manager performance across transition and maintenance stages

The current study examined the role of three important components in the use of structured employment interviewing in performance prediction: construct bandwidth, observed communication skill, and the stability/dynamicity of performance criteria over time. A matched sample of 242 hospitality managers was derived from a field data set provided by a large hospitality management organization. Interview data and two years of performance appraisal data were provided. Bandwidth analysis demonstrated only minimal differences in prediction between matched predictor-criterion pairs compared with predictor to overall aggregate ratings (unmatched). The communication skill analysis revealed that this interviewer rated observation significantly predicted a number of the individual performance dimensions as well as overall performance over time. Of the five interview items, the strongest overall predictor of performance was interviewer rated communication skill. The stability/dynamicity analyses demonstrated the performance criteria to be generally stable over the two year period examined, which provides support for the long held notion that performance criteria is stabile over time. However, there were two exceptions. The interview dimension customer service orientation had shifting relationships over time with four of the criteria over the two year period. The performance criteria employee development also demonstrated some instability in its relationships with predictors. Thus, some evidence of dynamicity in performance criteria was revealed. Interestingly, both of the most noteworthy findings in the study involved items that were rated differently than the others in the study. The rated interview item communication skill and the rated performance criteria client satisfaction were ratings that involved a more direct level of observation. Additional analyses also revealed evidence of a general factor of performance. These two themes are more fully covered in the discussion.

Human Capital Decisions and Employee Satisfaction at Selected Hotels in India

Understanding the role of human capital is one of the key considerations in delivering and sustaining competitiveness. Managing employees in the hospitality industry is particularly a challenging task as the industry is considered to be labor intensive. High turnover and increasing employee demands are among the problems that are identified as threats to maintaining a strong competitive position. Successful hotels attempt to retain their best employees in an effort to adapt to changing environments and increased competition. Effective hotel human resource systems can produce positive outcomes, through effective employee retention strategies that focus on work force motivation, attitudes and perception. The positive implementation of these strategies can influence and create employee satisfaction. This study aims to focus on the relationship between the mediating variables of motivation, attitudes, perception and their effect on employee satisfaction. These findings are based upon an extensive survey carried out between April 2009 and June 2009 in the small mountainous state of Uttarakhand, located within the Indian sub-continent. Although the area of study is confined to the Kumaon region of Uttarakhand, the authors contend that the findings and implications can be applied to other remote developing tourist destinations in other regions.

How did varying levels of intensity of the 2005 Pakistan earthquake differentially affect women’s fertility decisions and children’s health outcomes?

This paper uses a difference in difference model to investigate the impact of a large scale and high mortality 2005 earthquake in Pakistan on women’s fertility decisions and children’s health outcomes. Using a nationally representative, cross sectional DHS data from 2006 and geographical data from USGS, this paper investigates how variation in earthquake intensity levels can differentially impact total fertility for women and the likelihood of children suffering from diseases such as diarrhea, Acute Respiratory Infections (ARI) and fever. The post-earthquake results demonstrate a statistically significant increase in total fertility for areas closer to the epicenter of the earthquake, within a 100km radius of the rupture surface and at higher altitudes. Similarly, for children who were in-utero at the time of the earthquake, the probability of having early symptoms of ARI or fever was much smaller in lower earthquake intensity zones compared to the highest intensity zone.

SEQUENTIAL DECISIONS AND PREDICTIONS IN NATURAL LANGUAGE PROCESSING

Natural language processing has achieved great success in a wide range of ap- plications, producing both commercial language services and open-source language tools. However, most methods take a static or batch approach, assuming that the model has all information it needs and makes a one-time prediction. In this disser- tation, we study dynamic problems where the input comes in a sequence instead of all at once, and the output must be produced while the input is arriving. In these problems, predictions are often made based only on partial information. We see this dynamic setting in many real-time, interactive applications. These problems usually involve a trade-off between the amount of input received (cost) and the quality of the output prediction (accuracy). Therefore, the evaluation considers both objectives (e.g., plotting a Pareto curve). Our goal is to develop a formal understanding of sequential prediction and decision-making problems in natural language processing and to propose efficient solutions. Toward this end, we present meta-algorithms that take an existent batch model and produce a dynamic model to handle sequential inputs and outputs. Webuild our framework upon theories of Markov Decision Process (MDP), which allows learning to trade off competing objectives in a principled way. The main machine learning techniques we use are from imitation learning and reinforcement learning, and we advance current techniques to tackle problems arising in our settings. We evaluate our algorithm on a variety of applications, including dependency parsing, machine translation, and question answering. We show that our approach achieves a better cost-accuracy trade-off than the batch approach and heuristic-based decision- making approaches. We first propose a general framework for cost-sensitive prediction, where dif- ferent parts of the input come at different costs. We formulate a decision-making process that selects pieces of the input sequentially, and the selection is adaptive to each instance. Our approach is evaluated on both standard classification tasks and a structured prediction task (dependency parsing). We show that it achieves similar prediction quality to methods that use all input, while inducing a much smaller cost. Next, we extend the framework to problems where the input is revealed incremen- tally in a fixed order. We study two applications: simultaneous machine translation and quiz bowl (incremental text classification). We discuss challenges in this set- ting and show that adding domain knowledge eases the decision-making problem. A central theme throughout the chapters is an MDP formulation of a challenging problem with sequential input/output and trade-off decisions, accompanied by a learning algorithm that solves the MDP.

Agendas de ordenamiento ambiental : Priorización de acciones y dimensionalización de indicadores desde contextos y criterios locales

La propuesta de revisar cuestiones vinculadas al papel de la Universidad en las políticas territoriales, a sus compromisos para una gestión asociada y a sus responsabilidades en la construcción y aplicación de la información en municipios de su área de influencia; ha impulsado la formulación de dos proyectos de investigación: uno 'INVESTIGACION Y DESARROLLO TERRITORIAL (2da etapa). Construcción de agendas de ordenamiento ambiental desde criterios múltiples' y otro 'INDICADORES DE SUSTENTABILIDAD TERRITORIAL. Contenidos de aplicación multicriterio y presupuestos filosóficos de base'

Agendas de ordenamiento ambiental : Priorización de acciones y dimensionalización de indicadores desde contextos y criterios locales

La propuesta de revisar cuestiones vinculadas al papel de la Universidad en las políticas territoriales, a sus compromisos para una gestión asociada y a sus responsabilidades en la construcción y aplicación de la información en municipios de su área de influencia; ha impulsado la formulación de dos proyectos de investigación: uno 'INVESTIGACION Y DESARROLLO TERRITORIAL (2da etapa). Construcción de agendas de ordenamiento ambiental desde criterios múltiples' y otro 'INDICADORES DE SUSTENTABILIDAD TERRITORIAL. Contenidos de aplicación multicriterio y presupuestos filosóficos de base'