Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance

Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Tavana, Madjid, Szabat, Kathryn, Puranam, Kartikeya
Format: Buchkapitel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 234
container_issue
container_start_page 213
container_title
container_volume
creator Tavana, Madjid
Szabat, Kathryn
Puranam, Kartikeya
description Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers. Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.
doi_str_mv 10.4018/978-1-5225-0654-6.ch011
format Book Chapter
fullrecord <record><control><sourceid>proquest_igi_b</sourceid><recordid>TN_cdi_igi_books_10_4018_978-1-5225-0654-6_ch011</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC4694656_18_237</sourcerecordid><originalsourceid>FETCH-LOGICAL-g1167-b95b89ea0f83368d9f8d68412a933f2c196b05ef351f80d390afc6314b1faa343</originalsourceid><addsrcrecordid>eNplkMtOwzAQRY0QiFL6DeQDmjITP2IvUcUjUiWQKGvLce3GkDohSSX69_QBK1ajOTr3Li4htwgzBijvVC5TTHmW8RQEZ6mY2QoQz8g1HuCecTwnk7329zNxSUaKK5lzCnBFJn3_AQCYA2cAIxKK6JtuY4bQxMTEVTJvNpttDPZEls5Wsamb9S4pNq2xQ7KHb9u2rXfJvDIhJkUc3Lo72tPksXbfoQx1GHbTY9ur64710bobcuFN3bvJ7x2T98eH5fw5Xbw8FfP7RbpGFHlaKl5K5Qx4SamQK-XlSkiGmVGU-syiEiVw5ylHL2FFFRhvBUVWojeGMjom9NTbds3X1vWDdmXTfFoXh87UtjLt4LpeM6GY4EKj1BnN9yk4pcI66IPfawR9GF3_G10fR6c_2KBykg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC4694656_18_237</pqid></control><display><type>book_chapter</type><title>Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance</title><source>InfoSci-Books</source><creator>Tavana, Madjid ; Szabat, Kathryn ; Puranam, Kartikeya</creator><contributor>Szabat, Kathryn ; Tavana, Madjid ; Puranam, Kartikeya</contributor><creatorcontrib>Tavana, Madjid ; Szabat, Kathryn ; Puranam, Kartikeya ; Szabat, Kathryn ; Tavana, Madjid ; Puranam, Kartikeya</creatorcontrib><description>Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers. Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.</description><identifier>ISBN: 9781522506546</identifier><identifier>ISBN: 1522506543</identifier><identifier>EISBN: 1522506551</identifier><identifier>EISBN: 9781522506553</identifier><identifier>DOI: 10.4018/978-1-5225-0654-6.ch011</identifier><identifier>OCLC: 959875300</identifier><identifier>LCCallNum: HD56.T383 2017</identifier><language>eng</language><publisher>United States: IGI Global</publisher><subject>Business and Management Information Science and Technology ; Business Information Systems ; Data Analysis &amp; Statistics ; Economic statistics ; Industrial productivity</subject><ispartof>Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics, 2016, p.213-234</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.igi-global.com/Images/Covers/9781522506546.png</thumbnail><link.rule.ids>775,776,780,789,23117,27902</link.rule.ids></links><search><contributor>Szabat, Kathryn</contributor><contributor>Tavana, Madjid</contributor><contributor>Puranam, Kartikeya</contributor><creatorcontrib>Tavana, Madjid</creatorcontrib><creatorcontrib>Szabat, Kathryn</creatorcontrib><creatorcontrib>Puranam, Kartikeya</creatorcontrib><title>Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance</title><title>Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics</title><description>Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers. Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.</description><subject>Business and Management Information Science and Technology</subject><subject>Business Information Systems</subject><subject>Data Analysis &amp; Statistics</subject><subject>Economic statistics</subject><subject>Industrial productivity</subject><isbn>9781522506546</isbn><isbn>1522506543</isbn><isbn>1522506551</isbn><isbn>9781522506553</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2016</creationdate><recordtype>book_chapter</recordtype><recordid>eNplkMtOwzAQRY0QiFL6DeQDmjITP2IvUcUjUiWQKGvLce3GkDohSSX69_QBK1ajOTr3Li4htwgzBijvVC5TTHmW8RQEZ6mY2QoQz8g1HuCecTwnk7329zNxSUaKK5lzCnBFJn3_AQCYA2cAIxKK6JtuY4bQxMTEVTJvNpttDPZEls5Wsamb9S4pNq2xQ7KHb9u2rXfJvDIhJkUc3Lo72tPksXbfoQx1GHbTY9ur64710bobcuFN3bvJ7x2T98eH5fw5Xbw8FfP7RbpGFHlaKl5K5Qx4SamQK-XlSkiGmVGU-syiEiVw5ylHL2FFFRhvBUVWojeGMjom9NTbds3X1vWDdmXTfFoXh87UtjLt4LpeM6GY4EKj1BnN9yk4pcI66IPfawR9GF3_G10fR6c_2KBykg</recordid><startdate>20160921</startdate><enddate>20160921</enddate><creator>Tavana, Madjid</creator><creator>Szabat, Kathryn</creator><creator>Puranam, Kartikeya</creator><general>IGI Global</general><scope>FFUUA</scope></search><sort><creationdate>20160921</creationdate><title>Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance</title><author>Tavana, Madjid ; Szabat, Kathryn ; Puranam, Kartikeya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1167-b95b89ea0f83368d9f8d68412a933f2c196b05ef351f80d390afc6314b1faa343</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Business and Management Information Science and Technology</topic><topic>Business Information Systems</topic><topic>Data Analysis &amp; Statistics</topic><topic>Economic statistics</topic><topic>Industrial productivity</topic><toplevel>online_resources</toplevel><creatorcontrib>Tavana, Madjid</creatorcontrib><creatorcontrib>Szabat, Kathryn</creatorcontrib><creatorcontrib>Puranam, Kartikeya</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tavana, Madjid</au><au>Szabat, Kathryn</au><au>Puranam, Kartikeya</au><au>Szabat, Kathryn</au><au>Tavana, Madjid</au><au>Puranam, Kartikeya</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance</atitle><btitle>Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics</btitle><date>2016-09-21</date><risdate>2016</risdate><spage>213</spage><epage>234</epage><pages>213-234</pages><isbn>9781522506546</isbn><isbn>1522506543</isbn><eisbn>1522506551</eisbn><eisbn>9781522506553</eisbn><abstract>Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers. Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.</abstract><cop>United States</cop><pub>IGI Global</pub><doi>10.4018/978-1-5225-0654-6.ch011</doi><oclcid>959875300</oclcid><tpages>22</tpages></addata></record>
fulltext fulltext
identifier ISBN: 9781522506546
ispartof Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics, 2016, p.213-234
issn
language eng
recordid cdi_igi_books_10_4018_978-1-5225-0654-6_ch011
source InfoSci-Books
subjects Business and Management Information Science and Technology
Business Information Systems
Data Analysis & Statistics
Economic statistics
Industrial productivity
title Information and Communication Technology Impact on Supply Chain Integration, Flexibility, and Performance
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T22%3A21%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_igi_b&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Information%20and%20Communication%20Technology%20Impact%20on%20Supply%20Chain%20Integration,%20Flexibility,%20and%20Performance&rft.btitle=Organizational%20Productivity%20and%20Performance%20Measurements%20Using%20Predictive%20Modeling%20and%20Analytics&rft.au=Tavana,%20Madjid&rft.date=2016-09-21&rft.spage=213&rft.epage=234&rft.pages=213-234&rft.isbn=9781522506546&rft.isbn_list=1522506543&rft_id=info:doi/10.4018/978-1-5225-0654-6.ch011&rft_dat=%3Cproquest_igi_b%3EEBC4694656_18_237%3C/proquest_igi_b%3E%3Curl%3E%3C/url%3E&rft.eisbn=1522506551&rft.eisbn_list=9781522506553&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC4694656_18_237&rft_id=info:pmid/&rfr_iscdi=true