A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein
The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness acr...
Gespeichert in:
| Veröffentlicht in: | Journal of marketing research 1980-05, Vol.17 (2), p.153-172 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 172 |
|---|---|
| container_issue | 2 |
| container_start_page | 153 |
| container_title | Journal of marketing research |
| container_volume | 17 |
| creator | Warshaw, Paul R. |
| description | The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables. |
| doi_str_mv | 10.1177/002224378001700201 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_235229159</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>3150927</jstor_id><sourcerecordid>3150927</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2039-112b97c6af5e360c69c4b83532eb3b5dabde26e3023444288936f518a111eca93</originalsourceid><addsrcrecordid>eNp90E1PwzAMBuAIgcQY_AFOEXAtxHbTNNzKxGDS-DjAuUrblHUqDSTdEP-eTuOAhMAXy9LzWpYZOwZxDqDUhRCIGJNKhQA1DAJ22AhkrCIFmnbZaAOijdhnByEsxVAg1IjNM35vP_idq2zLa-f5o7dVU_ZN98Kv7MKsG-dNy2ddb7u-cV245FnHs7a3vjN9s7a8d3zahEVhm-6Q7dWmDfbou4_Z8_T6aXIbzR9uZpNsHpUoSEcAWGhVJqaWlhJRJrqMi5QkoS2okJUpKouJJYEUxzGmqaaklpAaALCl0TRmJ9u9b969r2zo86VbDfe0IUeSiBrk_0ikiijFZECnfyFAPSCdxmpQuFWldyF4W-dvvnk1_jMHkW_-n__-_xA624aWoXf-ZwJJqJxACo2KvgCY538R</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1297339847</pqid></control><display><type>article</type><title>A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein</title><source>Jstor Complete Legacy</source><source>Business Source Complete</source><source>Alma/SFX Local Collection</source><source>Periodicals Index Online</source><creator>Warshaw, Paul R.</creator><creatorcontrib>Warshaw, Paul R.</creatorcontrib><description>The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables.</description><identifier>ISSN: 0022-2437</identifier><identifier>EISSN: 1547-7193</identifier><identifier>DOI: 10.1177/002224378001700201</identifier><identifier>CODEN: JMKRAE</identifier><language>eng</language><publisher>Chicago: American Marketing Association</publisher><subject>Behavior ; Behavior modeling ; Brand preferences ; Brands ; Consumer attitudes ; Consumer behavior ; Consumer research ; Correlation analysis ; Desire ; Dining ; Marketing ; Modeling ; Normativity ; Predictions ; Predictive modeling ; Product choice ; Regression analysis ; Studies ; Tridents</subject><ispartof>Journal of marketing research, 1980-05, Vol.17 (2), p.153-172</ispartof><rights>Copyright 1980 American Marketing Association</rights><rights>Copyright American Marketing Association May 1980</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2039-112b97c6af5e360c69c4b83532eb3b5dabde26e3023444288936f518a111eca93</citedby><cites>FETCH-LOGICAL-c2039-112b97c6af5e360c69c4b83532eb3b5dabde26e3023444288936f518a111eca93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3150927$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3150927$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27846,27901,27902,57992,58225</link.rule.ids></links><search><creatorcontrib>Warshaw, Paul R.</creatorcontrib><title>A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein</title><title>Journal of marketing research</title><description>The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables.</description><subject>Behavior</subject><subject>Behavior modeling</subject><subject>Brand preferences</subject><subject>Brands</subject><subject>Consumer attitudes</subject><subject>Consumer behavior</subject><subject>Consumer research</subject><subject>Correlation analysis</subject><subject>Desire</subject><subject>Dining</subject><subject>Marketing</subject><subject>Modeling</subject><subject>Normativity</subject><subject>Predictions</subject><subject>Predictive modeling</subject><subject>Product choice</subject><subject>Regression analysis</subject><subject>Studies</subject><subject>Tridents</subject><issn>0022-2437</issn><issn>1547-7193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1980</creationdate><recordtype>article</recordtype><sourceid>0R3</sourceid><sourceid>HYQOX</sourceid><sourceid>K30</sourceid><sourceid>~OC</sourceid><sourceid>BENPR</sourceid><recordid>eNp90E1PwzAMBuAIgcQY_AFOEXAtxHbTNNzKxGDS-DjAuUrblHUqDSTdEP-eTuOAhMAXy9LzWpYZOwZxDqDUhRCIGJNKhQA1DAJ22AhkrCIFmnbZaAOijdhnByEsxVAg1IjNM35vP_idq2zLa-f5o7dVU_ZN98Kv7MKsG-dNy2ddb7u-cV245FnHs7a3vjN9s7a8d3zahEVhm-6Q7dWmDfbou4_Z8_T6aXIbzR9uZpNsHpUoSEcAWGhVJqaWlhJRJrqMi5QkoS2okJUpKouJJYEUxzGmqaaklpAaALCl0TRmJ9u9b969r2zo86VbDfe0IUeSiBrk_0ikiijFZECnfyFAPSCdxmpQuFWldyF4W-dvvnk1_jMHkW_-n__-_xA624aWoXf-ZwJJqJxACo2KvgCY538R</recordid><startdate>19800501</startdate><enddate>19800501</enddate><creator>Warshaw, Paul R.</creator><general>American Marketing Association</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0R3</scope><scope>ABKTN</scope><scope>FUVTR</scope><scope>HYQOX</scope><scope>JHMDA</scope><scope>JSICY</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>~OB</scope><scope>~OC</scope><scope>~OG</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0A</scope><scope>M0C</scope><scope>M2M</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>19800501</creationdate><title>A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein</title><author>Warshaw, Paul R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2039-112b97c6af5e360c69c4b83532eb3b5dabde26e3023444288936f518a111eca93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1980</creationdate><topic>Behavior</topic><topic>Behavior modeling</topic><topic>Brand preferences</topic><topic>Brands</topic><topic>Consumer attitudes</topic><topic>Consumer behavior</topic><topic>Consumer research</topic><topic>Correlation analysis</topic><topic>Desire</topic><topic>Dining</topic><topic>Marketing</topic><topic>Modeling</topic><topic>Normativity</topic><topic>Predictions</topic><topic>Predictive modeling</topic><topic>Product choice</topic><topic>Regression analysis</topic><topic>Studies</topic><topic>Tridents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Warshaw, Paul R.</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Archive Online Collection 1.2</collection><collection>Periodicals Archive Online JSTOR Titles</collection><collection>Periodicals Index Online Segment 06</collection><collection>ProQuest Historical Periodicals</collection><collection>Periodicals Index Online Segment 31</collection><collection>Periodicals Index Online Segment 36</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>PAO Collection 1</collection><collection>Periodicals Archive Online Collection 1</collection><collection>PAO Collection 1 (purchase pre Feb/2008)</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Archive</collection><collection>ABI/INFORM Global</collection><collection>ProQuest Psychology</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of marketing research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Warshaw, Paul R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein</atitle><jtitle>Journal of marketing research</jtitle><date>1980-05-01</date><risdate>1980</risdate><volume>17</volume><issue>2</issue><spage>153</spage><epage>172</epage><pages>153-172</pages><issn>0022-2437</issn><eissn>1547-7193</eissn><coden>JMKRAE</coden><abstract>The Fishbein intention model often produces weak and inconsistent predictions in marketing applications. Of equal concern, high multicollinearity between independent variables is typical. A new intention model was developed and tested. Results show high stability, reliability, and predictiveness across diverse test products, with very low intercorrelations between explanatory variables.</abstract><cop>Chicago</cop><pub>American Marketing Association</pub><doi>10.1177/002224378001700201</doi><tpages>20</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-2437 |
| ispartof | Journal of marketing research, 1980-05, Vol.17 (2), p.153-172 |
| issn | 0022-2437 1547-7193 |
| language | eng |
| recordid | cdi_proquest_journals_235229159 |
| source | Jstor Complete Legacy; Business Source Complete; Alma/SFX Local Collection; Periodicals Index Online |
| subjects | Behavior Behavior modeling Brand preferences Brands Consumer attitudes Consumer behavior Consumer research Correlation analysis Desire Dining Marketing Modeling Normativity Predictions Predictive modeling Product choice Regression analysis Studies Tridents |
| title | A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T05%3A14%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20New%20Model%20for%20Predicting%20Behavioral%20Intentions:%20An%20Alternative%20to%20Fishbein&rft.jtitle=Journal%20of%20marketing%20research&rft.au=Warshaw,%20Paul%20R.&rft.date=1980-05-01&rft.volume=17&rft.issue=2&rft.spage=153&rft.epage=172&rft.pages=153-172&rft.issn=0022-2437&rft.eissn=1547-7193&rft.coden=JMKRAE&rft_id=info:doi/10.1177/002224378001700201&rft_dat=%3Cjstor_proqu%3E3150927%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1297339847&rft_id=info:pmid/&rft_jstor_id=3150927&rfr_iscdi=true |