Conditional market segmentation by neural networks: a Monte-Carlo study

An artificial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultaneously estimates the models relating consumer characteristics to market segments, i.e., subjects are assigned to (unique) seg...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of retailing and consumer services Ročník 6; číslo 4; s. 237 - 248
Hlavný autor: Natter, Martin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.10.1999
Oxford, UK :Butterworth-Heinemann, 1994
ISSN:0969-6989, 1873-1384
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract An artificial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultaneously estimates the models relating consumer characteristics to market segments, i.e., subjects are assigned to (unique) segments so that subjects within a class show similar purchase behavior and share the same characteristics (psychographics/sociodemographics). Parameters of all models are estimated by the backpropagation algorithm. The performance of the ANN methodology is assessed in a Monte-Carlo study. In contrast to the usual stepwise approach adopted in segmentation studies, our study found that simultaneous segmentation and discrimination are preferable for finding an overall optimum in that this way clusters are formed not only to create homogeneous submarkets but also to show a good dicriminatory behavior.
AbstractList An artificial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultaneously estimates the models relating consumer characteristics to market segments, i.e., subjects are assigned to (unique) segments so that subjects within a class show similar purchase behavior and share the same characteristics (psychographics/sociodemographics). Parameters of all models are estimated by the backpropagation algorithm. The performance of the ANN methodology is assessed in a Monte-Carlo study. In contrast to the usual stepwise approach adopted in segmentation studies, our study found that simultaneous segmentation and discrimination are preferable for finding an overall optimum in that this way clusters are formed not only to create homogeneous submarkets but also to show a good dicriminatory behavior.
Author Natter, Martin
Author_xml – sequence: 1
  givenname: Martin
  surname: Natter
  fullname: Natter, Martin
  email: martin.natter@wu-wien.ac.at
  organization: Vienna University of Economics & BA, Pappenheimgasse 35/3/5, A-1200 Vienna, Austria
BookMark eNqFkEFLAzEQhYNUsK3-BGHBix5Wk91NNqsHkaJVqHhQzyGbnZW026QmqdJ_b9oVD146l4GZ9x4z3wgNjDWA0CnBlwQTdvWKK1alrOLVecUvcCye5gdoSHiZpyTnxQAN_yRHaOT9PGoY5cUQTSfWNDpoa2SXLKVbQEg8fCzBBLmdJvUmMbB2cWsgfFu38NeJTJ6tCZBOpOts4sO62Ryjw1Z2Hk5--xi9P9y_TR7T2cv0aXI3S1VGcUgJJQpzBdDkFNcsK6AARrK8JbyiNZEYABRrM1byOFYFUMIyoFmJZVOXss3H6KzPXTn7uQYfxNyuXTzei5jNC1oUFEfVTa9SznrvoBVK9_8EJ3UnCBZbcmJHTmyxiIqLHTmRRzf95145Hdls9vpuex9EAF8anPBKg1HQaAcqiMbqPQk_-TyH2A
CitedBy_id crossref_primary_10_1016_j_eswa_2013_05_052
crossref_primary_10_1016_j_eswa_2004_02_005
crossref_primary_10_1023_A_1020321132568
crossref_primary_10_1016_S0167_8116_02_00080_0
crossref_primary_10_1057_s41270_021_00145_4
crossref_primary_10_1080_09544820600752781
crossref_primary_10_1016_S0969_6989_00_00011_4
ContentType Journal Article
Copyright 1999 Elsevier Science Ltd
Copyright_xml – notice: 1999 Elsevier Science Ltd
DBID AAYXX
CITATION
K30
PAAUG
PAWHS
PAWZZ
PAXOH
PBHAV
PBQSW
PBYQZ
PCIWU
PCMID
PCZJX
PDGRG
PDWWI
PETMR
PFVGT
PGXDX
PIHIL
PISVA
PJCTQ
PJTMS
PLCHJ
PMHAD
PNQDJ
POUND
PPLAD
PQAPC
PQCAN
PQCMW
PQEME
PQHKH
PQMID
PQNCT
PQNET
PQSCT
PQSET
PSVJG
PVMQY
PZGFC
SMOQP
DOI 10.1016/S0969-6989(98)00008-3
DatabaseName CrossRef
Periodicals Index Online
Primary Sources Access—Foundation Edition (Plan E) - West
Primary Sources Access (Plan D) - International
Primary Sources Access & Build (Plan A) - MEA
Primary Sources Access—Foundation Edition (Plan E) - Midwest
Primary Sources Access—Foundation Edition (Plan E) - Northeast
Primary Sources Access (Plan D) - Southeast
Primary Sources Access (Plan D) - North Central
Primary Sources Access—Foundation Edition (Plan E) - Southeast
Primary Sources Access (Plan D) - South Central
Primary Sources Access & Build (Plan A) - UK / I
Primary Sources Access (Plan D) - Canada
Primary Sources Access (Plan D) - EMEALA
Primary Sources Access—Foundation Edition (Plan E) - North Central
Primary Sources Access—Foundation Edition (Plan E) - South Central
Primary Sources Access & Build (Plan A) - International
Primary Sources Access—Foundation Edition (Plan E) - International
Primary Sources Access (Plan D) - West
Periodicals Index Online Segments 1-50
Primary Sources Access (Plan D) - APAC
Primary Sources Access (Plan D) - Midwest
Primary Sources Access (Plan D) - MEA
Primary Sources Access—Foundation Edition (Plan E) - Canada
Primary Sources Access—Foundation Edition (Plan E) - UK / I
Primary Sources Access—Foundation Edition (Plan E) - EMEALA
Primary Sources Access & Build (Plan A) - APAC
Primary Sources Access & Build (Plan A) - Canada
Primary Sources Access & Build (Plan A) - West
Primary Sources Access & Build (Plan A) - EMEALA
Primary Sources Access (Plan D) - Northeast
Primary Sources Access & Build (Plan A) - Midwest
Primary Sources Access & Build (Plan A) - North Central
Primary Sources Access & Build (Plan A) - Northeast
Primary Sources Access & Build (Plan A) - South Central
Primary Sources Access & Build (Plan A) - Southeast
Primary Sources Access (Plan D) - UK / I
Primary Sources Access—Foundation Edition (Plan E) - APAC
Primary Sources Access—Foundation Edition (Plan E) - MEA
Periodicals Index Online Segment 46
DatabaseTitle CrossRef
Periodicals Index Online Segments 1-50
Periodicals Index Online
Periodicals Index Online Segment 46
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Business
EISSN 1873-1384
EndPage 248
ExternalDocumentID 10_1016_S0969_6989_98_00008_3
S0969698998000083
GroupedDBID --K
--M
.~1
0R~
13V
1B1
1RT
1~.
1~5
29L
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
96U
9JO
AABNK
AACTN
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AAXUO
ABFNM
ABJNI
ABKBG
ABMAC
ABMVD
ABXDB
ABYKQ
ACBMB
ACDAQ
ACGFO
ACGFS
ACHRH
ACNTT
ACRLP
ADBBV
ADEZE
ADMUD
AEBSH
AEKER
AFAZI
AFKWA
AFTJW
AGHFR
AGJBL
AGUBO
AGUMN
AGYEJ
AHHHB
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
ALEQD
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
ASPBG
AVWKF
AXJTR
AZFZN
BKOJK
BLXMC
BNSAS
CS3
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
HLX
HVGLF
HZ~
IHE
J1W
KOM
LG8
LXL
LXN
M41
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
ROL
RPZ
SBM
SDF
SDG
SDP
SES
SEW
SPCBC
SSB
SSL
SSZ
T5K
U5U
UHS
WUQ
XYO
YK3
ZRQ
~G-
9DU
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ACLOT
ACRPL
ACVFH
ADCNI
ADMHG
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGQPQ
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
CITATION
EFKBS
~HD
AFXIZ
AGCQF
AGRNS
K30
PAAUG
PAWHS
PAWZZ
PAXOH
PBHAV
PBQSW
PBYQZ
PCIWU
PCMID
PCZJX
PDGRG
PDWWI
PETMR
PFVGT
PGXDX
PIHIL
PISVA
PJCTQ
PJTMS
PLCHJ
PMHAD
PNQDJ
POUND
PPLAD
PQAPC
PQCAN
PQCMW
PQEME
PQHKH
PQMID
PQNCT
PQNET
PQSCT
PQSET
PSVJG
PVMQY
PZGFC
SMOQP
SSH
ID FETCH-LOGICAL-c250t-151c08ceed350b624e4e6123f1895b1a0eeec6f2678612c4e5162e5270adb7af3
ISSN 0969-6989
IngestDate Fri Jul 25 02:23:27 EDT 2025
Sat Nov 29 06:15:56 EST 2025
Tue Nov 18 22:17:04 EST 2025
Fri Feb 23 02:27:10 EST 2024
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License https://www.elsevier.com/tdm/userlicense/1.0
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c250t-151c08ceed350b624e4e6123f1895b1a0eeec6f2678612c4e5162e5270adb7af3
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
PQID 1518454450
PQPubID 2032560
PageCount 12
ParticipantIDs proquest_journals_1518454450
crossref_citationtrail_10_1016_S0969_6989_98_00008_3
crossref_primary_10_1016_S0969_6989_98_00008_3
elsevier_sciencedirect_doi_10_1016_S0969_6989_98_00008_3
PublicationCentury 1900
PublicationDate 19991001
PublicationDateYYYYMMDD 1999-10-01
PublicationDate_xml – month: 10
  year: 1999
  text: 19991001
  day: 01
PublicationDecade 1990
PublicationPlace Oxford
PublicationPlace_xml – name: Oxford
PublicationTitle Journal of retailing and consumer services
PublicationYear 1999
Publisher Elsevier Ltd
Oxford, UK :Butterworth-Heinemann, 1994
Publisher_xml – name: Elsevier Ltd
– name: Oxford, UK :Butterworth-Heinemann, 1994
SSID ssj0006584
Score 1.5753378
Snippet An artificial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 237
Title Conditional market segmentation by neural networks: a Monte-Carlo study
URI https://dx.doi.org/10.1016/S0969-6989(98)00008-3
https://www.proquest.com/docview/1518454450
Volume 6
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: ScienceDirect database
  customDbUrl:
  eissn: 1873-1384
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0006584
  issn: 0969-6989
  databaseCode: AIEXJ
  dateStart: 19950101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bSxwxFA71gvRFbG3ReiEPLVgk7UwmM5P4JovallaE2rJvYSaTiKCzsrOK_fc9ucwFpWgFX4Ylmwuc883Jt9lzviD0nsM-CrBghJYxIyyvKiKKrCJVqVPGVGoid3XC7-_58TEfj8VJSGtu3HUCeV3z21tx9ayuhjZwti2d_Q93d5NCA3wGp8MT3A7PRzl-NLH_QvsTvktX07zb6LPLUGNUW75pRSzh29qngDe-4PmH1akio2J6MRmIzt7nrVOXdNrWNqpQwrnbhKDTnS474c5QDtTqe1eh3k50iWrhzKute-mTjNzhYSaIvXrS7yI-dPI8sYqGbBhbswGE2DBOeqWXsOVSL7Z5L5r7g4Wf3WrAuQX_QIUjuiTpt7AusdD1tV0Fd52SObRA81RAyF7Y_3ow_tbt0pZ5OR3GMHdf3fW5X3BH8I9hsX_xljs7uKMlpytoOfgF73scvEIvdP0aLbXlDKvoaAAH7OGAh3DA5R_s4YBbOOzhAg_AgB0Y3qBfhwenoy8kXJ5BFLDaGQEmpyJuKVCSRmVGmWbaSu2YmIu0jItIa60yQ4GsQLNiOo0zqlOaR0VV5oVJ3qL5elLrNYThN62KDOOV4TGL85IbY4CZFlFBwd9JvI5YaxqpgrK8veDkQvYphGBRaS0qBZfOojJZR5-6YVdeWuWhAby1uwz80PM-CYB5aOhm6ycZ3tVGgok4s2JU0bunz7yBXvavzSaan02v9RZaVDez82a6HVD3F2QtjrA
linkProvider Elsevier
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Conditional+market+segmentation+by+neural+networks%3A+a+Monte-Carlo+study&rft.jtitle=Journal+of+retailing+and+consumer+services&rft.au=Natter%2C+Martin&rft.date=1999-10-01&rft.pub=Elsevier+Ltd&rft.issn=0969-6989&rft.eissn=1873-1384&rft.volume=6&rft.issue=4&rft.spage=237&rft.epage=248&rft_id=info:doi/10.1016%2FS0969-6989%2898%2900008-3&rft.externalDocID=S0969698998000083
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0969-6989&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0969-6989&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0969-6989&client=summon