Intelligent marketing information systems: computerized intelligence for marketing decision making

Marketing knowledge and expertise are a critical corporate resource for carrying out strategic decision making that supports marketing functions. Intelligent marketing information systems (IMkIS) can offer a way for marketing managers to share knowledge and expertise. Such sharing could help improve...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Marketing intelligence & planning 1995-02, Vol.13 (2), p.4-13
Hauptverfasser: Amaravadi, Chandra S, Samaddar, Subhashish, Dutta, Siddhartha
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 13
container_issue 2
container_start_page 4
container_title Marketing intelligence & planning
container_volume 13
creator Amaravadi, Chandra S
Samaddar, Subhashish
Dutta, Siddhartha
description Marketing knowledge and expertise are a critical corporate resource for carrying out strategic decision making that supports marketing functions. Intelligent marketing information systems (IMkIS) can offer a way for marketing managers to share knowledge and expertise. Such sharing could help improve the economics and effectiveness of the marketing function. Traditional marketing information systems (MkIS) are limited in their managerial support capabilities. Unlike MkIS, an IMkIS incorporates, among other features, the use of a knowledge base of marketing strategies. Discusses the shortcomings of an MkIS and then offers a framework of IMkIS relationships illustrating information exchanges among various subgroups of the organization. Furthermore, offers a design of an IMkIS based on this framework. Demonstrates the creation of a knowledge base by capturing the strategic marketing moves of a corporation for the case of PepsiCo, by using published information sources. Of course, production versions of such systems will make use of in-house corporate knowledge. Provides illustrative queries. Discusses implications for IMkIS for the present and future.
doi_str_mv 10.1108/02634509510083464
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_33368470</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A16939729</galeid><sourcerecordid>A16939729</sourcerecordid><originalsourceid>FETCH-LOGICAL-c274t-f378e968f1e5f9f257d81a7ef3c1459aba58311af196c90b366ac4f6028115803</originalsourceid><addsrcrecordid>eNqN0ctKQzEQBuAgCtbqA7grLgTBo5lMrssiXgoFN7oO6WlSUs-lJqcL396UutIuJIuBzEfI_EPIJdA7AKrvKZPIBTUCKNXIJT8iI1BCV5pyc0xGu35VAJ6Ss5zXlFKFyEbkZtYNvmniynfDpHXpww-xW01iF_rUuiH23SR_5cG3-ZycBNdkf_FTx-T96fHt4aWavz7PHqbzqmaKD1VApb2ROoAXwQQm1FKDUz5gDVwYt3BCI4ALYGRt6AKldDUPkjINIDTFMbnev7tJ_efW58G2Mdflj67z_TZbRJSaq3_AEoVQjBV49Quu-23qyhCWAQJDyXlBt3u0co23u_mH5OoSi0-u6TsfYrmegjRoFDOFVwd4OUvfxvqQh72vU59z8sFuUix5f1mgdrdB-2eD-A3EE4rV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>213123644</pqid></control><display><type>article</type><title>Intelligent marketing information systems: computerized intelligence for marketing decision making</title><source>Emerald Journals</source><creator>Amaravadi, Chandra S ; Samaddar, Subhashish ; Dutta, Siddhartha</creator><creatorcontrib>Amaravadi, Chandra S ; Samaddar, Subhashish ; Dutta, Siddhartha</creatorcontrib><description>Marketing knowledge and expertise are a critical corporate resource for carrying out strategic decision making that supports marketing functions. Intelligent marketing information systems (IMkIS) can offer a way for marketing managers to share knowledge and expertise. Such sharing could help improve the economics and effectiveness of the marketing function. Traditional marketing information systems (MkIS) are limited in their managerial support capabilities. Unlike MkIS, an IMkIS incorporates, among other features, the use of a knowledge base of marketing strategies. Discusses the shortcomings of an MkIS and then offers a framework of IMkIS relationships illustrating information exchanges among various subgroups of the organization. Furthermore, offers a design of an IMkIS based on this framework. Demonstrates the creation of a knowledge base by capturing the strategic marketing moves of a corporation for the case of PepsiCo, by using published information sources. Of course, production versions of such systems will make use of in-house corporate knowledge. Provides illustrative queries. Discusses implications for IMkIS for the present and future.</description><identifier>ISSN: 0263-4503</identifier><identifier>EISSN: 1758-8049</identifier><identifier>DOI: 10.1108/02634509510083464</identifier><language>eng</language><publisher>Bradford: Emerald Group Publishing, Ltd</publisher><subject>Artificial intelligence ; Decision making ; Decision support systems ; Electronic data interchange ; Evaluation ; Expert systems ; Information systems ; Inventory control ; Knowledge representation ; Knowledge-based systems ; Market planning ; Market segments ; Market strategy ; Marketing ; Methods ; Product development ; Sales forecasting ; Statistical analysis ; Strategic planning</subject><ispartof>Marketing intelligence &amp; planning, 1995-02, Vol.13 (2), p.4-13</ispartof><rights>COPYRIGHT 1995 Emerald Group Publishing, Ltd.</rights><rights>Copyright MCB University Press Limited 1995</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c274t-f378e968f1e5f9f257d81a7ef3c1459aba58311af196c90b366ac4f6028115803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,961,27901,27902</link.rule.ids></links><search><creatorcontrib>Amaravadi, Chandra S</creatorcontrib><creatorcontrib>Samaddar, Subhashish</creatorcontrib><creatorcontrib>Dutta, Siddhartha</creatorcontrib><title>Intelligent marketing information systems: computerized intelligence for marketing decision making</title><title>Marketing intelligence &amp; planning</title><description>Marketing knowledge and expertise are a critical corporate resource for carrying out strategic decision making that supports marketing functions. Intelligent marketing information systems (IMkIS) can offer a way for marketing managers to share knowledge and expertise. Such sharing could help improve the economics and effectiveness of the marketing function. Traditional marketing information systems (MkIS) are limited in their managerial support capabilities. Unlike MkIS, an IMkIS incorporates, among other features, the use of a knowledge base of marketing strategies. Discusses the shortcomings of an MkIS and then offers a framework of IMkIS relationships illustrating information exchanges among various subgroups of the organization. Furthermore, offers a design of an IMkIS based on this framework. Demonstrates the creation of a knowledge base by capturing the strategic marketing moves of a corporation for the case of PepsiCo, by using published information sources. Of course, production versions of such systems will make use of in-house corporate knowledge. Provides illustrative queries. Discusses implications for IMkIS for the present and future.</description><subject>Artificial intelligence</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Electronic data interchange</subject><subject>Evaluation</subject><subject>Expert systems</subject><subject>Information systems</subject><subject>Inventory control</subject><subject>Knowledge representation</subject><subject>Knowledge-based systems</subject><subject>Market planning</subject><subject>Market segments</subject><subject>Market strategy</subject><subject>Marketing</subject><subject>Methods</subject><subject>Product development</subject><subject>Sales forecasting</subject><subject>Statistical analysis</subject><subject>Strategic planning</subject><issn>0263-4503</issn><issn>1758-8049</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqN0ctKQzEQBuAgCtbqA7grLgTBo5lMrssiXgoFN7oO6WlSUs-lJqcL396UutIuJIuBzEfI_EPIJdA7AKrvKZPIBTUCKNXIJT8iI1BCV5pyc0xGu35VAJ6Ss5zXlFKFyEbkZtYNvmniynfDpHXpww-xW01iF_rUuiH23SR_5cG3-ZycBNdkf_FTx-T96fHt4aWavz7PHqbzqmaKD1VApb2ROoAXwQQm1FKDUz5gDVwYt3BCI4ALYGRt6AKldDUPkjINIDTFMbnev7tJ_efW58G2Mdflj67z_TZbRJSaq3_AEoVQjBV49Quu-23qyhCWAQJDyXlBt3u0co23u_mH5OoSi0-u6TsfYrmegjRoFDOFVwd4OUvfxvqQh72vU59z8sFuUix5f1mgdrdB-2eD-A3EE4rV</recordid><startdate>19950201</startdate><enddate>19950201</enddate><creator>Amaravadi, Chandra S</creator><creator>Samaddar, Subhashish</creator><creator>Dutta, Siddhartha</creator><general>Emerald Group Publishing, Ltd</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FI</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M2M</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7TA</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>19950201</creationdate><title>Intelligent marketing information systems</title><author>Amaravadi, Chandra S ; Samaddar, Subhashish ; Dutta, Siddhartha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c274t-f378e968f1e5f9f257d81a7ef3c1459aba58311af196c90b366ac4f6028115803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Artificial intelligence</topic><topic>Decision making</topic><topic>Decision support systems</topic><topic>Electronic data interchange</topic><topic>Evaluation</topic><topic>Expert systems</topic><topic>Information systems</topic><topic>Inventory control</topic><topic>Knowledge representation</topic><topic>Knowledge-based systems</topic><topic>Market planning</topic><topic>Market segments</topic><topic>Market strategy</topic><topic>Marketing</topic><topic>Methods</topic><topic>Product development</topic><topic>Sales forecasting</topic><topic>Statistical analysis</topic><topic>Strategic planning</topic><toplevel>online_resources</toplevel><creatorcontrib>Amaravadi, Chandra S</creatorcontrib><creatorcontrib>Samaddar, Subhashish</creatorcontrib><creatorcontrib>Dutta, Siddhartha</creatorcontrib><collection>CrossRef</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</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>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Psychology Database</collection><collection>ProQuest One Business</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Marketing intelligence &amp; planning</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amaravadi, Chandra S</au><au>Samaddar, Subhashish</au><au>Dutta, Siddhartha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent marketing information systems: computerized intelligence for marketing decision making</atitle><jtitle>Marketing intelligence &amp; planning</jtitle><date>1995-02-01</date><risdate>1995</risdate><volume>13</volume><issue>2</issue><spage>4</spage><epage>13</epage><pages>4-13</pages><issn>0263-4503</issn><eissn>1758-8049</eissn><abstract>Marketing knowledge and expertise are a critical corporate resource for carrying out strategic decision making that supports marketing functions. Intelligent marketing information systems (IMkIS) can offer a way for marketing managers to share knowledge and expertise. Such sharing could help improve the economics and effectiveness of the marketing function. Traditional marketing information systems (MkIS) are limited in their managerial support capabilities. Unlike MkIS, an IMkIS incorporates, among other features, the use of a knowledge base of marketing strategies. Discusses the shortcomings of an MkIS and then offers a framework of IMkIS relationships illustrating information exchanges among various subgroups of the organization. Furthermore, offers a design of an IMkIS based on this framework. Demonstrates the creation of a knowledge base by capturing the strategic marketing moves of a corporation for the case of PepsiCo, by using published information sources. Of course, production versions of such systems will make use of in-house corporate knowledge. Provides illustrative queries. Discusses implications for IMkIS for the present and future.</abstract><cop>Bradford</cop><pub>Emerald Group Publishing, Ltd</pub><doi>10.1108/02634509510083464</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0263-4503
ispartof Marketing intelligence & planning, 1995-02, Vol.13 (2), p.4-13
issn 0263-4503
1758-8049
language eng
recordid cdi_proquest_miscellaneous_33368470
source Emerald Journals
subjects Artificial intelligence
Decision making
Decision support systems
Electronic data interchange
Evaluation
Expert systems
Information systems
Inventory control
Knowledge representation
Knowledge-based systems
Market planning
Market segments
Market strategy
Marketing
Methods
Product development
Sales forecasting
Statistical analysis
Strategic planning
title Intelligent marketing information systems: computerized intelligence for marketing decision making
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T19%3A26%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Intelligent%20marketing%20information%20systems:%20computerized%20intelligence%20for%20marketing%20decision%20making&rft.jtitle=Marketing%20intelligence%20&%20planning&rft.au=Amaravadi,%20Chandra%20S&rft.date=1995-02-01&rft.volume=13&rft.issue=2&rft.spage=4&rft.epage=13&rft.pages=4-13&rft.issn=0263-4503&rft.eissn=1758-8049&rft_id=info:doi/10.1108/02634509510083464&rft_dat=%3Cgale_proqu%3EA16939729%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=213123644&rft_id=info:pmid/&rft_galeid=A16939729&rfr_iscdi=true