Advances in business and management forecasting /

The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing and strategic decision making. It is the hope and direction of this research annual to become an applications and practitioner oriented publi...

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Bibliographic Details
Other Authors: Lawrence, Kenneth D. (Editor), Klimberg, Ronald K. (Editor)
Format: Electronic eBook
Language:English
Published: United Kingdom : Emerald, 2014.
Edition:First edition.
Series:Advances in business and management forecasting ; v. 10.
Subjects:
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central

MARC

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245 0 0 |a Advances in business and management forecasting /  |c edited by Kenneth D. Lawrence, New Jersey Institute of Technology, Newark, NJ, USA, Ronald K. Klimberg, Saint Joseph's University, Philadelphia, PA, USA. 
250 |a First edition. 
264 1 |a United Kingdom :  |b Emerald,  |c 2014. 
300 |a 1 online resource (188 pages) :  |b illustrations 
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490 1 |a Advances in business and management forecasting ;  |v volume 10 
504 |a Includes bibliographical references. 
505 0 |a Front Cover -- Advances in Business and Management Forecasting -- Copyright page -- Editorial Advisory Board -- Contents -- List of Contributors -- Part I: Forecasting Applications in Finance -- Components of a Decomposition Forecast of Stock Prices with Excel -- Introduction -- The Models -- Linear Trend -- Moving Averages -- Periodicity -- Shocks -- Conclusions, Recommendations, and Limitations -- References -- Data Source -- Forecasting the Net Asset Value of PRWCX -- Introduction -- PRWCS T. Rowe Price Capital Appreciation Fund: The Moderate Allocation Fund -- Definition of Unit to be Forecast: Net Asset Value (NAV) -- Time Series Forecasting Method -- Exponential Smoothing -- Trend Models -- Decomposition Modeling -- Average Models -- Winter's Method -- ARIMA Model -- Autoregressive Models -- Moving Average Model -- Mixed Autoregressive and Moving Average Models -- Forecasting Results -- References -- Using Prediction Intervals to Improve Information Quality of Bankruptcy Prediction Models -- Introduction -- Prediction (Confidence) Intervals and Hypotheses -- Samples and Data -- Analysis and Results -- Conclusion -- Acknowledgments -- References -- Part II: Forecasting Applications in Operations and Technology -- Comparison of Technological Performance between Digital Single-Lens Reflex Cameras and Mirrorless Cameras -- Introduction -- Research Objective and Scope -- Overall Research Objective -- Scope of the Research -- Type of Cameras Considered -- Units Measured -- Analysis -- Data Gathering -- Methodology -- Results -- Discussion -- Limitations and Future Research -- Conclusion -- References -- Premium for Service Contracts for Damage Protection -- Introduction -- Model Development -- Product Value Distribution -- Service Quality -- Premium Function -- Customer Preferences -- Optimal Premium -- Results -- Conclusions -- References. 
505 8 |a Measuring Scale Efficiency in Data Envelopment Analysis Considering Environmental Influences -- Introduction -- Literature Review -- Methodology -- Measuring Technical Efficiency and Scale Efficiency by Using DEA Models -- Five-Stage DEA Model -- Stage 1: BCC Model -- Stage 2: CCR Model -- Stage 3: Using the SFA Model to Decompose Slacks -- Stage 4: Adjusted BCC Model -- Stage 5: Adjusted CCR Model -- Problem Description of Scale Efficiency of Chinese Universities -- Sample and Data Sources -- Selection of Input and Output Indicators -- Selection of Environmental Indicators -- The Degree of Social Needs of Different Subjects -- The Capacity of Universities -- The Proportion of Universities Students of the Total Number -- The Number of Examinees in the Provinces Where the Universities Locate -- Ranking of Universities -- Empirical Analysis -- The Empirical Results of the First Two Stages of the Traditional DEA -- The Results of SFA Regression Analysis -- The Empirical Results After Adjustment -- Development Model and Efficiency Improving Directions of China's Top Universities. -- Summary and Conclusion -- Acknowledgments -- References -- Evaluating a Bayesian Approach to Forecasting Stocking Spare Parts That Require Periodic Replenishment -- Introduction -- Bayesian Approaches to Forecasting Demand -- Bayesian Model Formulation -- Bayesian Theory -- Simulation Study Description Results -- Baseline Demand Simulations for Regular Demand -- Slow Moving or Intermittent Demand Simulations -- Simulation Discussion -- Conclusions -- References -- Part III: Forecasting Methods -- Reducing Bias in Hierarchical Forecasting -- Introduction -- Bias in Hierarchical Forecasting -- Case Study -- Stage 1: Development of the Corrected Forecasts for Months 2-12 -- Stage 2: Development of the Corrected Segment Forecasts for Months 13-18. 
505 8 |a Stage 3: Development of the Composite Forecasts for Months 13-18 -- Discussion -- References -- Metrics for and Analysis of Variables for Wiki Use: A Case Study -- Introduction -- Wikis -- Outline of This Paper -- Some Previous Research on Wikis -- Research using Wikis in Enterprises -- Wiki Metrics -- Accenture and Accenture's Use of Wikis -- Arthur Andersen and Accenture (Jeffery, 2010 and Wikipedia) -- Accenture's Use of Wikis (Peeters, 2009) -- Data -- Data Overview and Use Behavior -- Three Models from Different Potential Perspectives -- Findings -- Correlation Analysis -- Regression Analysis -- Discussion and Comparison to Other Data -- Summary, Contributions and Extensions -- Contributions -- Extensions -- Notes -- References -- A Comparison of Seasonal Regression Forecasting Models for the U.S. Beer Import Market -- Introduction -- Purpose -- Seasonal Forecasting and Literature Review -- Import Beer Sales: Extension and Comparison of Seasonal Models -- Semi-Annual -- Quarterly -- Monthly -- Interpretation and Analysis of Regression Outputs -- Construction of the Seasonal Regression Equation and Error Calculation -- Conclusions, Recommendations, and Limitations -- References -- Data Source. 
520 |a The objective of this research annual is to present state-of-the-art studies in the application of forecasting methodologies to such areas as sales, marketing and strategic decision making. It is the hope and direction of this research annual to become an applications and practitioner oriented publication. 
588 0 |a Online resource; title from PDF title page (ebrary, viewed November 25, 2014). 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Business forecasting. 
650 0 |a Industrial management  |x Forecasting. 
700 1 |a Lawrence, Kenneth D.,  |e editor. 
700 1 |a Klimberg, Ronald K.,  |e editor. 
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