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Analytical tools for studying demand and price structures [[electronic resource] /] / by Richard J. Foote
Analytical tools for studying demand and price structures [[electronic resource] /] / by Richard J. Foote
Autore Foote Richard J. <1914-2006.>
Pubbl/distr/stampa Washington, D.C. : , : Price and Trade Research Section, Agricultural Marketing Service, U.S. Dept. of Agriculture, , 1958
Descrizione fisica 1 online resource (217 pages) : illustrations
Collana Agriculture handbook / United States Department of Agriculture
Soggetto topico Prices
Agriculture - Economic aspects - Mathematical models
Demand (Economic theory)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910701404403321
Foote Richard J. <1914-2006.>  
Washington, D.C. : , : Price and Trade Research Section, Agricultural Marketing Service, U.S. Dept. of Agriculture, , 1958
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2007
Descrizione fisica 139 p
Altri autori (Persone) de La VilleValérie-Inés
Collana Society and Business Review
Soggetto topico Consumption (Economics)
Demand (Economic theory)
Soggetto genere / forma Electronic books.
ISBN 1-280-84735-2
9786610847358
1-84663-359-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910451265003321
Bradford, England, : Emerald Group Publishing, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2007
Descrizione fisica 139 p
Altri autori (Persone) de La VilleValérie-Inés
Collana Society and Business Review
Soggetto topico Consumption (Economics)
Demand (Economic theory)
ISBN 1-280-84735-2
9786610847358
1-84663-359-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910783906503321
Bradford, England, : Emerald Group Publishing, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Child and teen consumption [[electronic resource] /] / guest editor Valérie-Inés de La Ville
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2007
Descrizione fisica 139 p
Altri autori (Persone) de La VilleValérie-Inés
Collana Society and Business Review
Soggetto topico Consumption (Economics)
Demand (Economic theory)
ISBN 1-280-84735-2
9786610847358
1-84663-359-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910820162603321
Bradford, England, : Emerald Group Publishing, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A complete characterization of the implications of Slutzky symmetry for the linear, log-linear, and semi-log incomplete demand system models [[electronic resource] /] / Roger H. von Haefen
A complete characterization of the implications of Slutzky symmetry for the linear, log-linear, and semi-log incomplete demand system models [[electronic resource] /] / Roger H. von Haefen
Autore Haefen Roger von
Pubbl/distr/stampa [Washington, D.C.] : , : U.S. Dept. of Labor, Bureau of Labor Statistics, Office of Prices and Living Conditions, , [2000]
Descrizione fisica 14 pages, 19 unnumbered pages, 30 pages : digital, PDF file
Collana Working paper
Soggetto topico Demand (Economic theory)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910696541303321
Haefen Roger von  
[Washington, D.C.] : , : U.S. Dept. of Labor, Bureau of Labor Statistics, Office of Prices and Living Conditions, , [2000]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Consuming people : from political economy to theaters of consumption / / A. Fuat Firat and Nikhilesh Dholakia
Consuming people : from political economy to theaters of consumption / / A. Fuat Firat and Nikhilesh Dholakia
Autore Firat A. Fuat
Pubbl/distr/stampa London ; ; New York : , : Routledge : , : Taylor & Francis Group, , 2003, c1998
Descrizione fisica xii, 194 p
Disciplina 339.4/7
Altri autori (Persone) DholakiaNikhilesh <1947->
Collana Consumer research and policy series
Soggetto topico Consumption (Economics) - History
Demand (Economic theory)
ISBN 1-134-70633-2
1-134-70634-0
1-280-07506-6
9786610075065
0-203-44981-9
0-415-31620-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. The consuming society -- 2. Consumption patterns -- 3. The making of the consumer -- 4. Consumption in modern society -- 5. The social construction of consumption patterns in modern society -- 6. (Post)modernity and consumption -- 7. Postmodern consumption -- 8. Global consumption -- 9. Consuming people -- 10. The new theater of consumption.
Record Nr. UNINA-9910170991003321
Firat A. Fuat  
London ; ; New York : , : Routledge : , : Taylor & Francis Group, , 2003, c1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Consuming people : from political economy to theaters of consumption / / A. Fuat Firat and Nikhilesh Dholakia
Consuming people : from political economy to theaters of consumption / / A. Fuat Firat and Nikhilesh Dholakia
Autore Firat A. Fuat
Pubbl/distr/stampa London ; ; New York : , : Routledge : , : Taylor & Francis Group, , 2003, c1998
Descrizione fisica xii, 194 p
Disciplina 339.4/7
Altri autori (Persone) DholakiaNikhilesh <1947->
Collana Consumer research and policy series
Soggetto topico Consumption (Economics) - History
Demand (Economic theory)
ISBN 1-134-70633-2
1-134-70634-0
1-280-07506-6
9786610075065
0-203-44981-9
0-415-31620-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. The consuming society -- 2. Consumption patterns -- 3. The making of the consumer -- 4. Consumption in modern society -- 5. The social construction of consumption patterns in modern society -- 6. (Post)modernity and consumption -- 7. Postmodern consumption -- 8. Global consumption -- 9. Consuming people -- 10. The new theater of consumption.
Record Nr. UNISA-996201853903316
Firat A. Fuat  
London ; ; New York : , : Routledge : , : Taylor & Francis Group, , 2003, c1998
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / / Charles W. Chase
Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / / Charles W. Chase
Autore Chase Charles
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021]
Descrizione fisica 1 online resource (270 pages)
Disciplina 658.40355
Collana Wiley and SAS Business Ser.
Soggetto topico Demand (Economic theory)
Business logistics
Business forecasting
Soggetto genere / forma Electronic books.
ISBN 1-119-80987-8
1-119-80989-4
1-119-80988-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Author -- Chapter 1 The Digital Economy and Unexpected Disruptions -- Disruptions Driving Complex Consumer Dynamics -- Impact of the Digital Economy -- What Does All This Mean? -- Shifting to a Consumer-Centric Approach -- The Analytics Gap -- Why Predictive and Anticipatory Analytics? -- Difference Between Predictive and Anticipatory Analytics -- The Data Gap -- The Impact of the COVID-19 Crisis on Demand Planning -- Closing Thoughts -- Notes -- Chapter 2 A Wake-up Call for Demand Management -- Demand Uncertainty Is Driving Change -- Challenges Created by Demand Uncertainty -- Ongoing "Bullwhip" Effect -- When Will We Learn from Our Past Mistakes? -- Why Are Companies Still Cleansing Historical Demand? -- Consumer Goods Company Case Study -- Primary Obstacles to Achieving Planning Goals -- Why Do Companies Continue to Dismiss the Value of Demand Management? -- Six Steps to Predicting Shifting Consumer Demand Patterns -- Closing Thoughts -- Notes -- Chapter 3 Why Data and Analytics Are Important -- Analytics Maturity -- Collecting and Storing Consumer Data -- Why Is the Data Ecosystem Important? -- Why Data and Analytics? -- Building Trust in the Data -- AI/Machine Learning Creates Trust Challenges -- Pursuit of Explainability -- Engage with Domain Experts and Business Specialists -- Why Is Downstream Data Important? -- Demand Management Data Challenges -- How Much Data Should Be Used? -- Demand-Signal Repositories -- What Are Demand Signal Repositories? -- Benefits of a Demand Signal Repository -- What Are Users Looking to Gain? -- Why Is It Important? -- What Is Consumption-Based Analytics? -- Closing Thoughts -- Notes -- Chapter 4 Consumption-Based Forecasting and Planning -- A Change of Mindset Is Required.
Why Consumption-Based Forecasting and Planning? -- What Is Consumption-Based Forecasting and Planning? -- Consumption-Based Forecasting and Planning Case Study -- Consumption-Based Forecasting and Planning Six-Step Process -- Understanding the Relationship Between Demand and Supply -- Why Move Demand Planning Downstream Closer to the Consumer? -- The Integrated Business Planning Connection -- Demand Management Champion -- Closing Thoughts -- Notes -- Chapter 5 AI/Machine Learning Is Disrupting Demand Forecasting -- Straight Talk About Forecasting and Machine Learning -- What Is the Difference Between Expert Systems and Machine Learning? -- Do Machine Learning Algorithms Outperform Traditional Forecasting Methods? -- M4 Competition -- M5 Competition -- Basic Knowledge Regarding Neural Networks -- Why Combine ML Models? -- Challenges Using Machine Learning Models -- Data Challenges and Considerations -- Black Box Effects -- Interpretation of the ML Model Output -- Case Study 1 -- Using Machine Learning to Enhance Short-Term Demand Sensing -- A Practical Application of Demand Sensing Using Machine Learning -- Converting Weekly Forecasts to Daily Forecasts -- Overall Results -- Weekly Forecast Results -- Daily Forecast Results -- Conclusions -- Case Study 2: Using Advanced Analytics to Adapt to Changing Consumer Demand Patterns -- Situation -- Approach to Short-Term Demand Sensing -- Data Investigation -- Analytics Approach -- Results -- Delivering Real-Time Results -- Closing Thoughts -- Notes -- Chapter 6 Intelligent Automation Is Disrupting Demand Planning -- What Is "Intelligent Automation"? -- How Can Intelligent Automation Enhance Existing Processes? -- What Is Forecast Value Add? -- Do Manual Overrides Add Value? -- Case Study: Using Intelligent Automation to Improve Demand Planners' FVA -- A New IA Approach Called "Assisted Demand Planning".
Process Approach -- Process Steps -- Results -- Closing Thoughts -- Notes -- Chapter 7 The Future Is Cloud Analytics and Analytics at the Edge -- Why Cloud Analytics? -- What Are the Differences Between Containers and Virtual Machines? -- Why Cloud Analytics? -- Predictive Analytics Are Creating IT Disruptions -- Data Is Influencing Software Development -- Why Cloud-native Solutions? -- Why Does All This Matter? -- Cloud-Native Forecasting and Planning Solutions -- Why Move to a Cloud-Native Demand Planning Platform? -- Why "Analytics at the Edge"? -- Edge Analytics Benefits -- Edge Analytics Limitations -- Forecasting at the Edge -- Cloud Analytics Versus Edge Analytics -- Closing Thoughts -- Notes -- Index -- EULA.
Record Nr. UNINA-9910554842503321
Chase Charles  
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / / Charles W. Chase
Consumption-based forecasting and planning : predicting changing demand patterns in the new digital economy / / Charles W. Chase
Autore Chase Charles
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021]
Descrizione fisica 1 online resource (270 pages)
Disciplina 658.40355
Collana Wiley and SAS Business
Soggetto topico Demand (Economic theory)
Business logistics
Business forecasting
ISBN 1-119-80987-8
1-119-80989-4
1-119-80988-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Author -- Chapter 1 The Digital Economy and Unexpected Disruptions -- Disruptions Driving Complex Consumer Dynamics -- Impact of the Digital Economy -- What Does All This Mean? -- Shifting to a Consumer-Centric Approach -- The Analytics Gap -- Why Predictive and Anticipatory Analytics? -- Difference Between Predictive and Anticipatory Analytics -- The Data Gap -- The Impact of the COVID-19 Crisis on Demand Planning -- Closing Thoughts -- Notes -- Chapter 2 A Wake-up Call for Demand Management -- Demand Uncertainty Is Driving Change -- Challenges Created by Demand Uncertainty -- Ongoing "Bullwhip" Effect -- When Will We Learn from Our Past Mistakes? -- Why Are Companies Still Cleansing Historical Demand? -- Consumer Goods Company Case Study -- Primary Obstacles to Achieving Planning Goals -- Why Do Companies Continue to Dismiss the Value of Demand Management? -- Six Steps to Predicting Shifting Consumer Demand Patterns -- Closing Thoughts -- Notes -- Chapter 3 Why Data and Analytics Are Important -- Analytics Maturity -- Collecting and Storing Consumer Data -- Why Is the Data Ecosystem Important? -- Why Data and Analytics? -- Building Trust in the Data -- AI/Machine Learning Creates Trust Challenges -- Pursuit of Explainability -- Engage with Domain Experts and Business Specialists -- Why Is Downstream Data Important? -- Demand Management Data Challenges -- How Much Data Should Be Used? -- Demand-Signal Repositories -- What Are Demand Signal Repositories? -- Benefits of a Demand Signal Repository -- What Are Users Looking to Gain? -- Why Is It Important? -- What Is Consumption-Based Analytics? -- Closing Thoughts -- Notes -- Chapter 4 Consumption-Based Forecasting and Planning -- A Change of Mindset Is Required.
Why Consumption-Based Forecasting and Planning? -- What Is Consumption-Based Forecasting and Planning? -- Consumption-Based Forecasting and Planning Case Study -- Consumption-Based Forecasting and Planning Six-Step Process -- Understanding the Relationship Between Demand and Supply -- Why Move Demand Planning Downstream Closer to the Consumer? -- The Integrated Business Planning Connection -- Demand Management Champion -- Closing Thoughts -- Notes -- Chapter 5 AI/Machine Learning Is Disrupting Demand Forecasting -- Straight Talk About Forecasting and Machine Learning -- What Is the Difference Between Expert Systems and Machine Learning? -- Do Machine Learning Algorithms Outperform Traditional Forecasting Methods? -- M4 Competition -- M5 Competition -- Basic Knowledge Regarding Neural Networks -- Why Combine ML Models? -- Challenges Using Machine Learning Models -- Data Challenges and Considerations -- Black Box Effects -- Interpretation of the ML Model Output -- Case Study 1 -- Using Machine Learning to Enhance Short-Term Demand Sensing -- A Practical Application of Demand Sensing Using Machine Learning -- Converting Weekly Forecasts to Daily Forecasts -- Overall Results -- Weekly Forecast Results -- Daily Forecast Results -- Conclusions -- Case Study 2: Using Advanced Analytics to Adapt to Changing Consumer Demand Patterns -- Situation -- Approach to Short-Term Demand Sensing -- Data Investigation -- Analytics Approach -- Results -- Delivering Real-Time Results -- Closing Thoughts -- Notes -- Chapter 6 Intelligent Automation Is Disrupting Demand Planning -- What Is "Intelligent Automation"? -- How Can Intelligent Automation Enhance Existing Processes? -- What Is Forecast Value Add? -- Do Manual Overrides Add Value? -- Case Study: Using Intelligent Automation to Improve Demand Planners' FVA -- A New IA Approach Called "Assisted Demand Planning".
Process Approach -- Process Steps -- Results -- Closing Thoughts -- Notes -- Chapter 7 The Future Is Cloud Analytics and Analytics at the Edge -- Why Cloud Analytics? -- What Are the Differences Between Containers and Virtual Machines? -- Why Cloud Analytics? -- Predictive Analytics Are Creating IT Disruptions -- Data Is Influencing Software Development -- Why Cloud-native Solutions? -- Why Does All This Matter? -- Cloud-Native Forecasting and Planning Solutions -- Why Move to a Cloud-Native Demand Planning Platform? -- Why "Analytics at the Edge"? -- Edge Analytics Benefits -- Edge Analytics Limitations -- Forecasting at the Edge -- Cloud Analytics Versus Edge Analytics -- Closing Thoughts -- Notes -- Index -- EULA.
Record Nr. UNINA-9910830942503321
Chase Charles  
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cross-price elasticities of demand across 114 countries [[electronic resource] /] / Anita Regmi, James L. Seale, Jr
Cross-price elasticities of demand across 114 countries [[electronic resource] /] / Anita Regmi, James L. Seale, Jr
Autore Regmi Anita
Pubbl/distr/stampa [Washington, D.C.] : , : U.S. Dept. of Agriculture, Economic Research Service, , [2010]
Descrizione fisica 1 online resource (v, 81 pages) : color illustrations
Altri autori (Persone) SealeJames L
Collana Technical bulletin
Soggetto topico Demand (Economic theory)
Prices
Elasticity (Economics)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910697155603321
Regmi Anita  
[Washington, D.C.] : , : U.S. Dept. of Agriculture, Economic Research Service, , [2010]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui