A good company gone bad: An examination of corporate social responsibility agenda-building in times of corporate crisis using machine learning techniques
PurposeThe purpose of this paper is to demonstrate whether or not public relations efforts in corporate social responsibility (CSR) influence the news media in corporate crisis situations.Design/methodology/approachThe study conducted a content analysis of press releases and news media based on trad...
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Veröffentlicht in: | Journal of communication management (London, England) England), 2019-02, Vol.23 (1), p.31-51 |
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description | PurposeThe purpose of this paper is to demonstrate whether or not public relations efforts in corporate social responsibility (CSR) influence the news media in corporate crisis situations.Design/methodology/approachThe study conducted a content analysis of press releases and news media based on traditional human-coded cross-lag analyses and a machine learning technique, a novel method of big data analysis to test hypotheses.FindingsResults indicate that CSR press releases indeed influenced the news media. During the crisis point, however, agenda-building was not observed.Practical implicationsCorporations need to continue CSR activities and provide public relations materials consistently even after a crisis, as an agenda-building role could be recovered.Originality/valueThe study examines the relationship between CSR and crisis situations in an agenda-building theoretical framework. The authors introduce agenda-building in the corporate sector with machine learning techniques. |
doi_str_mv | 10.1108/JCOM-11-2017-0132 |
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During the crisis point, however, agenda-building was not observed.Practical implicationsCorporations need to continue CSR activities and provide public relations materials consistently even after a crisis, as an agenda-building role could be recovered.Originality/valueThe study examines the relationship between CSR and crisis situations in an agenda-building theoretical framework. The authors introduce agenda-building in the corporate sector with machine learning techniques.</description><identifier>ISSN: 1363-254X</identifier><identifier>EISSN: 1478-0852</identifier><identifier>DOI: 10.1108/JCOM-11-2017-0132</identifier><language>eng</language><publisher>London: Emerald Group Publishing Limited</publisher><subject>Artificial intelligence ; Attribution theory ; Automation ; Business communications ; Communication ; Content analysis ; Cooperation ; Corporate profits ; Data analysis ; Data management ; Decision making ; Education ; Employees ; Equality ; Ethics ; Machine learning ; Media coverage ; News media ; Peace ; Product development ; Product recalls ; Public relations ; Social responsibility ; Society ; Work environment</subject><ispartof>Journal of communication management (London, England), 2019-02, Vol.23 (1), p.31-51</ispartof><rights>Emerald Publishing Limited 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c225t-d2c8888e1214a9b6cadae5dceb3ebce039b9054333493db1f592ba857a0f64683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,961,27903,27904</link.rule.ids></links><search><creatorcontrib>Park, Young Eun</creatorcontrib><creatorcontrib>Son, Hyunsang</creatorcontrib><creatorcontrib>Yang, Sung-Un</creatorcontrib><creatorcontrib>Lee, Jae Kook</creatorcontrib><title>A good company gone bad: An examination of corporate social responsibility agenda-building in times of corporate crisis using machine learning techniques</title><title>Journal of communication management (London, England)</title><description>PurposeThe purpose of this paper is to demonstrate whether or not public relations efforts in corporate social responsibility (CSR) influence the news media in corporate crisis situations.Design/methodology/approachThe study conducted a content analysis of press releases and news media based on traditional human-coded cross-lag analyses and a machine learning technique, a novel method of big data analysis to test hypotheses.FindingsResults indicate that CSR press releases indeed influenced the news media. During the crisis point, however, agenda-building was not observed.Practical implicationsCorporations need to continue CSR activities and provide public relations materials consistently even after a crisis, as an agenda-building role could be recovered.Originality/valueThe study examines the relationship between CSR and crisis situations in an agenda-building theoretical framework. 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Son, Hyunsang ; Yang, Sung-Un ; Lee, Jae Kook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-d2c8888e1214a9b6cadae5dceb3ebce039b9054333493db1f592ba857a0f64683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial intelligence</topic><topic>Attribution theory</topic><topic>Automation</topic><topic>Business communications</topic><topic>Communication</topic><topic>Content analysis</topic><topic>Cooperation</topic><topic>Corporate profits</topic><topic>Data analysis</topic><topic>Data management</topic><topic>Decision making</topic><topic>Education</topic><topic>Employees</topic><topic>Equality</topic><topic>Ethics</topic><topic>Machine learning</topic><topic>Media coverage</topic><topic>News media</topic><topic>Peace</topic><topic>Product development</topic><topic>Product recalls</topic><topic>Public relations</topic><topic>Social responsibility</topic><topic>Society</topic><topic>Work environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Young Eun</creatorcontrib><creatorcontrib>Son, Hyunsang</creatorcontrib><creatorcontrib>Yang, Sung-Un</creatorcontrib><creatorcontrib>Lee, Jae Kook</creatorcontrib><collection>CrossRef</collection><collection>Global News & 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>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Library Science Database</collection><collection>ProQuest Psychology</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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><jtitle>Journal of communication management (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Young Eun</au><au>Son, Hyunsang</au><au>Yang, Sung-Un</au><au>Lee, Jae Kook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A good company gone bad: An examination of corporate social responsibility agenda-building in times of corporate crisis using machine learning techniques</atitle><jtitle>Journal of communication management (London, England)</jtitle><date>2019-02-13</date><risdate>2019</risdate><volume>23</volume><issue>1</issue><spage>31</spage><epage>51</epage><pages>31-51</pages><issn>1363-254X</issn><eissn>1478-0852</eissn><abstract>PurposeThe purpose of this paper is to demonstrate whether or not public relations efforts in corporate social responsibility (CSR) influence the news media in corporate crisis situations.Design/methodology/approachThe study conducted a content analysis of press releases and news media based on traditional human-coded cross-lag analyses and a machine learning technique, a novel method of big data analysis to test hypotheses.FindingsResults indicate that CSR press releases indeed influenced the news media. During the crisis point, however, agenda-building was not observed.Practical implicationsCorporations need to continue CSR activities and provide public relations materials consistently even after a crisis, as an agenda-building role could be recovered.Originality/valueThe study examines the relationship between CSR and crisis situations in an agenda-building theoretical framework. The authors introduce agenda-building in the corporate sector with machine learning techniques.</abstract><cop>London</cop><pub>Emerald Group Publishing Limited</pub><doi>10.1108/JCOM-11-2017-0132</doi><tpages>21</tpages></addata></record> |
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subjects | Artificial intelligence Attribution theory Automation Business communications Communication Content analysis Cooperation Corporate profits Data analysis Data management Decision making Education Employees Equality Ethics Machine learning Media coverage News media Peace Product development Product recalls Public relations Social responsibility Society Work environment |
title | A good company gone bad: An examination of corporate social responsibility agenda-building in times of corporate crisis using machine learning techniques |
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