schliessen

Filtern

 

Bibliotheken

A Generalized Norton-Bass Model for Multigeneration Diffusion

The Norton-Bass (NB) model is often credited as the pioneering multigeneration diffusion model in marketing. However, as acknowledged by the authors, when counting the number of adopters who substitute an old product generation with a new generation, the NB model does not differentiate those who hav... Full description

Journal Title: Management Science 2012, Vol.58 (10), p.1887-1897
Main Author: ZHENGRUI JIANG
Other Authors: JAIN, Dipak C
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Hanover, MD: INFORMS
ID: ISSN: 0025-1909
Link: http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26451413
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: cdi_proquest_miscellaneous_1758238486
title: A Generalized Norton-Bass Model for Multigeneration Diffusion
format: Article
creator:
  • ZHENGRUI JIANG
  • JAIN, Dipak C
subjects:
  • Adoption rates
  • Applications
  • Applied sciences
  • Bass model
  • Cumulativity
  • Diffusion theory
  • Economic forecasts
  • Exact sciences and technology
  • Firm modelling
  • Forecasting
  • Forecasting models
  • Growth models
  • Insurance, economics, finance
  • leapfrogging
  • Management science
  • Marketing
  • Marketing mix
  • Marketing mixes
  • Mathematical economics
  • Mathematical models
  • Mathematics
  • Modeling
  • multigeneration diffusion
  • New products
  • Norton
  • Norton-Bass model
  • Operational research and scientific management
  • Operational research. Management science
  • Parameter estimation
  • Parametric models
  • Portfolio theory
  • Probability and statistics
  • Product development
  • Revenue
  • Sciences and techniques of general use
  • Statistics
  • Studies
  • switching
  • U.S.A
ispartof: Management Science, 2012, Vol.58 (10), p.1887-1897
description: The Norton-Bass (NB) model is often credited as the pioneering multigeneration diffusion model in marketing. However, as acknowledged by the authors, when counting the number of adopters who substitute an old product generation with a new generation, the NB model does not differentiate those who have already adopted the old generation from those who have not. In this study, we develop a generalized Norton-Bass (GNB) model that separates the two different types of substitutions. The GNB model provides closed-form expressions for both the number of units in use and the adoption rate, and offers greater flexibility in parameter estimation, forecasting, and revenue projection. An appealing aspect of the GNB model is that it uses exactly the same set of parameters as the NB model and is mathematically consistent with the later. Empirical results show that the GNB model delivers better overall performance than previous models both in terms of model fit and forecasting performance. The analyses also show that differentiating leapfrogging and switching adoptions based on the GNB model can help gain additional insights into the process of multigeneration diffusion. Furthermore, we demonstrate that the GNB model can incorporate the effect of marketing mix variables on the speed of diffusion for all product generations. This paper was accepted by Pradeep Chintagunta, marketing.
language: eng
source:
identifier: ISSN: 0025-1909
fulltext: no_fulltext
issn:
  • 0025-1909
  • 1526-5501
url: Link


@attributes
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
RANK2.5934353
LOCALfalse
PrimoNMBib
record
control
sourceidgale_proqu
recordidTN_cdi_proquest_miscellaneous_1758238486
sourceformatXML
sourcesystemPC
galeidA307078177
jstor_id41686888
sourcerecordidA307078177
originalsourceidFETCH-LOGICAL-1727t-4b9f0e92819e27c137675123c8c028180d2edeb503bb91d22d35e4fb8763163c0
addsrcrecordideNqFks1v0zAYxiMEEmVw5QaKhJA4kOJvOwcOZcCGtMEFzpbjvC6uUruzkwP89TjrVMZUNFmyE_v3PHq_quo5RktMlHy3DdkuMSbll5P2QbUoh2g4R_hhtUCI8Aa3qH1cPcl5gxCSSopF9X5Vn0GAZAb_G_r6a0xjDM0Hk3N9GXsYahdTfTkNo19fY6OPof7onZty-XpaPXJmyPDs5jypfnz-9P30vLn4dvbldHXRYEnk2LCudQhaonALRFpMpZAcE2qVReVSoZ5ADx1HtOta3BPSUw7MdSVCigW16KQ63_vGHQTjE-hd8luTfulovO4DjDr2WjCuOccCDBDXMcJYB45w2rad6YQlvDVQrN7srXYpXk2QR7312cIwmABxyhpLrghVTIn7UaIIYmWpgr66g27ilEKpSaEolrJVgv-l1mYA7YOLYzJ2NtUrimRpSSELtTxCldXD1tsYwPly_4_g5RGBvg28vQV0pXUBctmyX_8c89pMOR8NwKaYcwJ3qDZGc9JSz6Om51HT86gVweub7E22ZnDJBOvzQUVKYzDDtHDsjrH14_VIlYD98H_7F3vZJo8xHWwZFkooNRe_2b_Pqadtvi_cP1lt9nY
sourcetypeOpen Access Repository
isCDItrue
recordtypearticle
pqid1231779865
display
typearticle
titleA Generalized Norton-Bass Model for Multigeneration Diffusion
creatorZHENGRUI JIANG ; JAIN, Dipak C
creatorcontribZHENGRUI JIANG ; JAIN, Dipak C
descriptionThe Norton-Bass (NB) model is often credited as the pioneering multigeneration diffusion model in marketing. However, as acknowledged by the authors, when counting the number of adopters who substitute an old product generation with a new generation, the NB model does not differentiate those who have already adopted the old generation from those who have not. In this study, we develop a generalized Norton-Bass (GNB) model that separates the two different types of substitutions. The GNB model provides closed-form expressions for both the number of units in use and the adoption rate, and offers greater flexibility in parameter estimation, forecasting, and revenue projection. An appealing aspect of the GNB model is that it uses exactly the same set of parameters as the NB model and is mathematically consistent with the later. Empirical results show that the GNB model delivers better overall performance than previous models both in terms of model fit and forecasting performance. The analyses also show that differentiating leapfrogging and switching adoptions based on the GNB model can help gain additional insights into the process of multigeneration diffusion. Furthermore, we demonstrate that the GNB model can incorporate the effect of marketing mix variables on the speed of diffusion for all product generations. This paper was accepted by Pradeep Chintagunta, marketing.
identifier
0ISSN: 0025-1909
1EISSN: 1526-5501
2DOI: 10.1287/mnsc.1120.1529
3CODEN: MSCIAM
languageeng
publisherHanover, MD: INFORMS
subjectAdoption rates ; Applications ; Applied sciences ; Bass model ; Cumulativity ; Diffusion theory ; Economic forecasts ; Exact sciences and technology ; Firm modelling ; Forecasting ; Forecasting models ; Growth models ; Insurance, economics, finance ; leapfrogging ; Management science ; Marketing ; Marketing mix ; Marketing mixes ; Mathematical economics ; Mathematical models ; Mathematics ; Modeling ; multigeneration diffusion ; New products ; Norton ; Norton-Bass model ; Operational research and scientific management ; Operational research. Management science ; Parameter estimation ; Parametric models ; Portfolio theory ; Probability and statistics ; Product development ; Revenue ; Sciences and techniques of general use ; Statistics ; Studies ; switching ; U.S.A
ispartofManagement Science, 2012, Vol.58 (10), p.1887-1897
rights
0Copyright 2012
12015 INIST-CNRS
2COPYRIGHT 2012 Institute for Operations Research and the Management Sciences
3Copyright Institute for Operations Research and the Management Sciences Oct 2012
lds50peer_reviewed
oafree_for_read
citedbyFETCH-LOGICAL-1727t-4b9f0e92819e27c137675123c8c028180d2edeb503bb91d22d35e4fb8763163c0
citesFETCH-LOGICAL-1727t-4b9f0e92819e27c137675123c8c028180d2edeb503bb91d22d35e4fb8763163c0
links
openurl$$Topenurl_article
thumbnail$$Usyndetics_thumb_exl
backlink$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26451413$$DView record in Pascal Francis
search
creatorcontrib
0ZHENGRUI JIANG
1JAIN, Dipak C
title
0A Generalized Norton-Bass Model for Multigeneration Diffusion
1Management Science
descriptionThe Norton-Bass (NB) model is often credited as the pioneering multigeneration diffusion model in marketing. However, as acknowledged by the authors, when counting the number of adopters who substitute an old product generation with a new generation, the NB model does not differentiate those who have already adopted the old generation from those who have not. In this study, we develop a generalized Norton-Bass (GNB) model that separates the two different types of substitutions. The GNB model provides closed-form expressions for both the number of units in use and the adoption rate, and offers greater flexibility in parameter estimation, forecasting, and revenue projection. An appealing aspect of the GNB model is that it uses exactly the same set of parameters as the NB model and is mathematically consistent with the later. Empirical results show that the GNB model delivers better overall performance than previous models both in terms of model fit and forecasting performance. The analyses also show that differentiating leapfrogging and switching adoptions based on the GNB model can help gain additional insights into the process of multigeneration diffusion. Furthermore, we demonstrate that the GNB model can incorporate the effect of marketing mix variables on the speed of diffusion for all product generations. This paper was accepted by Pradeep Chintagunta, marketing.
subject
0Adoption rates
1Applications
2Applied sciences
3Bass model
4Cumulativity
5Diffusion theory
6Economic forecasts
7Exact sciences and technology
8Firm modelling
9Forecasting
10Forecasting models
11Growth models
12Insurance, economics, finance
13leapfrogging
14Management science
15Marketing
16Marketing mix
17Marketing mixes
18Mathematical economics
19Mathematical models
20Mathematics
21Modeling
22multigeneration diffusion
23New products
24Norton
25Norton-Bass model
26Operational research and scientific management
27Operational research. Management science
28Parameter estimation
29Parametric models
30Portfolio theory
31Probability and statistics
32Product development
33Revenue
34Sciences and techniques of general use
35Statistics
36Studies
37switching
38U.S.A
issn
00025-1909
11526-5501
fulltextfalse
rsrctypearticle
creationdate2012
recordtypearticle
recordideNqFks1v0zAYxiMEEmVw5QaKhJA4kOJvOwcOZcCGtMEFzpbjvC6uUruzkwP89TjrVMZUNFmyE_v3PHq_quo5RktMlHy3DdkuMSbll5P2QbUoh2g4R_hhtUCI8Aa3qH1cPcl5gxCSSopF9X5Vn0GAZAb_G_r6a0xjDM0Hk3N9GXsYahdTfTkNo19fY6OPof7onZty-XpaPXJmyPDs5jypfnz-9P30vLn4dvbldHXRYEnk2LCudQhaonALRFpMpZAcE2qVReVSoZ5ADx1HtOta3BPSUw7MdSVCigW16KQ63_vGHQTjE-hd8luTfulovO4DjDr2WjCuOccCDBDXMcJYB45w2rad6YQlvDVQrN7srXYpXk2QR7312cIwmABxyhpLrghVTIn7UaIIYmWpgr66g27ilEKpSaEolrJVgv-l1mYA7YOLYzJ2NtUrimRpSSELtTxCldXD1tsYwPly_4_g5RGBvg28vQV0pXUBctmyX_8c89pMOR8NwKaYcwJ3qDZGc9JSz6Om51HT86gVweub7E22ZnDJBOvzQUVKYzDDtHDsjrH14_VIlYD98H_7F3vZJo8xHWwZFkooNRe_2b_Pqadtvi_cP1lt9nY
startdate201210
enddate201210
creator
0ZHENGRUI JIANG
1JAIN, Dipak C
general
0INFORMS
1Institute for Operations Research and the Management Sciences
scope
0IQODW
1AAYXX
2CITATION
3IOF
48BJ
5FQK
6JBE
78FD
8FR3
9P64
10RC3
11BOBZL
12CLFQK
sort
creationdate201210
titleA Generalized Norton-Bass Model for Multigeneration Diffusion
authorZHENGRUI JIANG ; JAIN, Dipak C
facets
frbrtype5
frbrgroupidcdi_FETCH-LOGICAL-1727t-4b9f0e92819e27c137675123c8c028180d2edeb503bb91d22d35e4fb8763163c0
rsrctypearticles
prefilterarticles
languageeng
creationdate2012
topic
0Adoption rates
1Applications
2Applied sciences
3Bass model
4Cumulativity
5Diffusion theory
6Economic forecasts
7Exact sciences and technology
8Firm modelling
9Forecasting
10Forecasting models
11Growth models
12Insurance, economics, finance
13leapfrogging
14Management science
15Marketing
16Marketing mix
17Marketing mixes
18Mathematical economics
19Mathematical models
20Mathematics
21Modeling
22multigeneration diffusion
23New products
24Norton
25Norton-Bass model
26Operational research and scientific management
27Operational research. Management science
28Parameter estimation
29Parametric models
30Portfolio theory
31Probability and statistics
32Product development
33Revenue
34Sciences and techniques of general use
35Statistics
36Studies
37switching
38U.S.A
toplevelpeer_reviewed
creatorcontrib
0ZHENGRUI JIANG
1JAIN, Dipak C
collection
0Pascal-Francis
1CrossRef
2Gale General OneFile
3International Bibliography of the Social Sciences (IBSS)
4International Bibliography of the Social Sciences
5International Bibliography of the Social Sciences
6Technology Research Database
7Engineering Research Database
8Biotechnology and BioEngineering Abstracts
9Genetics Abstracts
10OpenAIRE (Open Access)
11OpenAIRE
jtitleManagement Science
delivery
delcategoryRemote Search Resource
fulltextno_fulltext
addata
au
0ZHENGRUI JIANG
1JAIN, Dipak C
formatjournal
genrearticle
ristypeJOUR
atitleA Generalized Norton-Bass Model for Multigeneration Diffusion
jtitleManagement Science
date2012-10
risdate2012
volume58
issue10
spage1887
epage1897
pages1887-1897
issn0025-1909
eissn1526-5501
codenMSCIAM
abstractThe Norton-Bass (NB) model is often credited as the pioneering multigeneration diffusion model in marketing. However, as acknowledged by the authors, when counting the number of adopters who substitute an old product generation with a new generation, the NB model does not differentiate those who have already adopted the old generation from those who have not. In this study, we develop a generalized Norton-Bass (GNB) model that separates the two different types of substitutions. The GNB model provides closed-form expressions for both the number of units in use and the adoption rate, and offers greater flexibility in parameter estimation, forecasting, and revenue projection. An appealing aspect of the GNB model is that it uses exactly the same set of parameters as the NB model and is mathematically consistent with the later. Empirical results show that the GNB model delivers better overall performance than previous models both in terms of model fit and forecasting performance. The analyses also show that differentiating leapfrogging and switching adoptions based on the GNB model can help gain additional insights into the process of multigeneration diffusion. Furthermore, we demonstrate that the GNB model can incorporate the effect of marketing mix variables on the speed of diffusion for all product generations. This paper was accepted by Pradeep Chintagunta, marketing.
copHanover, MD
pubINFORMS
doi10.1287/mnsc.1120.1529
oafree_for_read