Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies
The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a n...
Gespeichert in:
Veröffentlicht in: | Journal of business research 2020-12, Vol.121, p.338-352 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 352 |
---|---|
container_issue | |
container_start_page | 338 |
container_title | Journal of business research |
container_volume | 121 |
creator | Mariani, Marcello M. Fosso Wamba, Samuel |
description | The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a new generation of big data analytics (BDA) companies are crowdsourcing large volumes of OCRs by means of controlled ad hoc online experiments and advanced machine learning (ML) techniques to forecast demand and determine the market potential for new products in several industries. We illustrate how this process is taking place for consumer goods companies by exploring the case of UK digital BDA company, SoundOut. Based on an in-depth qualitative analysis, we develop the consumer goods company innovation (CGCI) conceptual framework, which illustrates how digital BDA firms help consumer goods companies to test new products before they are launched on the market, and innovate. Theoretical and managerial implications are discussed. |
doi_str_mv | 10.1016/j.jbusres.2020.09.012 |
format | Article |
fullrecord | <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_incontextgauss__A648516983</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A648516983</galeid><els_id>S0148296320305956</els_id><sourcerecordid>A648516983</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-9c2b68637ef74c263b14dd30c87d0017a4807f2e4b5b4b8609b6f1006745543c3</originalsourceid><addsrcrecordid>eNqFkEtLxDAUhYMoOD5-gpCVu9abNk1SNyLiCwQ3ug5petvJ0GmGJDPqvzcyLty5ug_OOXA-Qi4YlAyYuFqVq24bA8ayggpKaEtg1QFZMCXrQrZSHZIFMK6KqhX1MTmJcQWQlaAWZLr_3Ew-uHmkS_9BrZ_jdo2Bjt73MZ_rjZkdRurm2e9MwrzQtETau9ElM1Ez4jV9y4_gJ6R-oJ0baW-SoWY201dy9k_KGTkazBTx_HeekveH-7e7p-Ll9fH57valsJy1qWht1QklaomD5LYSdcd439dglewBmDRcgRwq5F3T8U4JaDsxMAAhedPw2tan5HKfO5oJtZtzq4SfaTTbGLW-FVw1TLSqzsJmL7TBx0xw0Jvg1iZ8aQb6h61e6V-2-oethlZnttl3s_dhbrFzGHS0DmeLvQtok-69-yfhG-P0hX4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies</title><source>Elsevier ScienceDirect Journals</source><creator>Mariani, Marcello M. ; Fosso Wamba, Samuel</creator><creatorcontrib>Mariani, Marcello M. ; Fosso Wamba, Samuel</creatorcontrib><description>The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a new generation of big data analytics (BDA) companies are crowdsourcing large volumes of OCRs by means of controlled ad hoc online experiments and advanced machine learning (ML) techniques to forecast demand and determine the market potential for new products in several industries. We illustrate how this process is taking place for consumer goods companies by exploring the case of UK digital BDA company, SoundOut. Based on an in-depth qualitative analysis, we develop the consumer goods company innovation (CGCI) conceptual framework, which illustrates how digital BDA firms help consumer goods companies to test new products before they are launched on the market, and innovate. Theoretical and managerial implications are discussed.</description><identifier>ISSN: 0148-2963</identifier><identifier>EISSN: 1873-7978</identifier><identifier>DOI: 10.1016/j.jbusres.2020.09.012</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Big data ; Big data analytics ; Business schools ; Computer programs ; Consumer goods companies ; Crowdsourcing ; Digital data ; Electronic commerce ; Forecasting ; Innovation ; Machine learning ; Online review crowdsourcing</subject><ispartof>Journal of business research, 2020-12, Vol.121, p.338-352</ispartof><rights>2020 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-9c2b68637ef74c263b14dd30c87d0017a4807f2e4b5b4b8609b6f1006745543c3</citedby><cites>FETCH-LOGICAL-c419t-9c2b68637ef74c263b14dd30c87d0017a4807f2e4b5b4b8609b6f1006745543c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0148296320305956$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Mariani, Marcello M.</creatorcontrib><creatorcontrib>Fosso Wamba, Samuel</creatorcontrib><title>Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies</title><title>Journal of business research</title><description>The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a new generation of big data analytics (BDA) companies are crowdsourcing large volumes of OCRs by means of controlled ad hoc online experiments and advanced machine learning (ML) techniques to forecast demand and determine the market potential for new products in several industries. We illustrate how this process is taking place for consumer goods companies by exploring the case of UK digital BDA company, SoundOut. Based on an in-depth qualitative analysis, we develop the consumer goods company innovation (CGCI) conceptual framework, which illustrates how digital BDA firms help consumer goods companies to test new products before they are launched on the market, and innovate. Theoretical and managerial implications are discussed.</description><subject>Big data</subject><subject>Big data analytics</subject><subject>Business schools</subject><subject>Computer programs</subject><subject>Consumer goods companies</subject><subject>Crowdsourcing</subject><subject>Digital data</subject><subject>Electronic commerce</subject><subject>Forecasting</subject><subject>Innovation</subject><subject>Machine learning</subject><subject>Online review crowdsourcing</subject><issn>0148-2963</issn><issn>1873-7978</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAUhYMoOD5-gpCVu9abNk1SNyLiCwQ3ug5petvJ0GmGJDPqvzcyLty5ug_OOXA-Qi4YlAyYuFqVq24bA8ayggpKaEtg1QFZMCXrQrZSHZIFMK6KqhX1MTmJcQWQlaAWZLr_3Ew-uHmkS_9BrZ_jdo2Bjt73MZ_rjZkdRurm2e9MwrzQtETau9ElM1Ez4jV9y4_gJ6R-oJ0baW-SoWY201dy9k_KGTkazBTx_HeekveH-7e7p-Ll9fH57valsJy1qWht1QklaomD5LYSdcd439dglewBmDRcgRwq5F3T8U4JaDsxMAAhedPw2tan5HKfO5oJtZtzq4SfaTTbGLW-FVw1TLSqzsJmL7TBx0xw0Jvg1iZ8aQb6h61e6V-2-oethlZnttl3s_dhbrFzGHS0DmeLvQtok-69-yfhG-P0hX4</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Mariani, Marcello M.</creator><creator>Fosso Wamba, Samuel</creator><general>Elsevier Inc</general><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20201201</creationdate><title>Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies</title><author>Mariani, Marcello M. ; Fosso Wamba, Samuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-9c2b68637ef74c263b14dd30c87d0017a4807f2e4b5b4b8609b6f1006745543c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Big data</topic><topic>Big data analytics</topic><topic>Business schools</topic><topic>Computer programs</topic><topic>Consumer goods companies</topic><topic>Crowdsourcing</topic><topic>Digital data</topic><topic>Electronic commerce</topic><topic>Forecasting</topic><topic>Innovation</topic><topic>Machine learning</topic><topic>Online review crowdsourcing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mariani, Marcello M.</creatorcontrib><creatorcontrib>Fosso Wamba, Samuel</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of business research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mariani, Marcello M.</au><au>Fosso Wamba, Samuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies</atitle><jtitle>Journal of business research</jtitle><date>2020-12-01</date><risdate>2020</risdate><volume>121</volume><spage>338</spage><epage>352</epage><pages>338-352</pages><issn>0148-2963</issn><eissn>1873-7978</eissn><abstract>The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a new generation of big data analytics (BDA) companies are crowdsourcing large volumes of OCRs by means of controlled ad hoc online experiments and advanced machine learning (ML) techniques to forecast demand and determine the market potential for new products in several industries. We illustrate how this process is taking place for consumer goods companies by exploring the case of UK digital BDA company, SoundOut. Based on an in-depth qualitative analysis, we develop the consumer goods company innovation (CGCI) conceptual framework, which illustrates how digital BDA firms help consumer goods companies to test new products before they are launched on the market, and innovate. Theoretical and managerial implications are discussed.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.jbusres.2020.09.012</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0148-2963 |
ispartof | Journal of business research, 2020-12, Vol.121, p.338-352 |
issn | 0148-2963 1873-7978 |
language | eng |
recordid | cdi_gale_incontextgauss__A648516983 |
source | Elsevier ScienceDirect Journals |
subjects | Big data Big data analytics Business schools Computer programs Consumer goods companies Crowdsourcing Digital data Electronic commerce Forecasting Innovation Machine learning Online review crowdsourcing |
title | Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T07%3A34%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploring%20how%20consumer%20goods%20companies%20innovate%20in%20the%20digital%20age:%20The%20role%20of%20big%20data%20analytics%20companies&rft.jtitle=Journal%20of%20business%20research&rft.au=Mariani,%20Marcello%20M.&rft.date=2020-12-01&rft.volume=121&rft.spage=338&rft.epage=352&rft.pages=338-352&rft.issn=0148-2963&rft.eissn=1873-7978&rft_id=info:doi/10.1016/j.jbusres.2020.09.012&rft_dat=%3Cgale_cross%3EA648516983%3C/gale_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A648516983&rft_els_id=S0148296320305956&rfr_iscdi=true |