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...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
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 & 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 & 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 & 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 |