Advances in Business and Management Forecasting

AvKenneth D. Lawrence,Ronald K. Klimberg

Inbunden, Engelska, 2016

Del 11 i serien Advances in Business and Management Forecasting

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Beskrivning

Advances in Business and Management Forecasting presents state-of-the-art studies in the application of forecasting methodologies to suce areas as finance, economics, technology, and forecasting accuracy. Volume 11 is split into four sections which address Forecasting in Marketing and Sales, Forecasting in Health Care, Forecasting in Business and Economics, and Topics in Forecasting. A number of topics are examined including brand experience, hospital bed management, population growth and online information sharing.

Produktinformation

Utgivningsdatum:2016-07-25
Mått:152 x 229 x 17 mm
Vikt:666 g
Format:Inbunden
Språk:Engelska
Serie:Advances in Business and Management Forecasting
Antal sidor:272
Förlag:Emerald Publishing Limited
ISBN:9781786355348

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Mer om författaren

Edited by Kenneth D. Lawrence, New Jersey Institute of Technology, Newark, NJ, USARonald K. Klimberg, Saint Joseph’s University, Philadelphia, PA, USA

Recensioner i media

Lawrence and Klimberg present essays from 28 expert contributors in this volume, which covers technology, economics, finance, and forecasting accuracy in state-of-the-art studies. Twelve chapters are divided into four parts: forecasting in marketing and sales; forecasting in health care; forecasting in business and economics; topics in forecasting.

Innehållsförteckning

PART I: FORECASTING IN MARKETING AND SALESOptimizing Resources to Better Forecast Future Profits - Kathleen Campbell Garwood, Alicia Graziosi Strandberg and Nicolle ClementsBrand Experience and Customer Equity Prediction - Arthur Cheng-Hsui Chen, Shaw K. Chen and Chien-Lin MaA Comparative Evaluation of Intermittent Demand Forecasting with Updated Smoothing Constants - Matthew Lindsey and Robert PavurPART II: FORECASTING IN HEALTH CAREForecasting Pain and Discomfort for Canines with Disease for Establishing Appropriate Medication Levels - Virginia M. Miori, Zhenpeng Miao and Yingdao QuHoning a Predictive Model to Accurately Forecast the Number of Bed Days Needed to Cover Patient Volume for a Large Hospital System - Alan D. Olinsky, Kristin Kennedy and Michael SalzilloCan Rationality of USDA’s Fixed-Event Crop Forecasts Be Improved? - Ran Xie, Olga Isengildina-Massa and Julia L. Sharp PART III: FORECASTING IN BUSINESS AND ECONOMICSBusiness School Forecasting for the Real World - John F. Kros and William J. RoweForecasting the Operating Income of MetLife - Kenneth D. Lawrence, Gary Kleinman and Sheila M. LawrenceForecasting the Population Growth in China Based on the Welfare Efficiency and Demographic Statistics - Feng Yang, Yuan Yang and Zhimin HuangPART IV: TOPICS IN FORECASTINGModeling Los Angeles Water Leaks Using Different Measures of Temperature - Daniel E. O’LearyHow Information Spreads in Online Social Networks - Christopher J. Quinn, Matthew J. Quinn, Alan D. Olinsky and John T. QuinnIs There a Home Run Derby Curse? - Daniel E. O’Leary