{"id":"https://openalex.org/W4401451580","doi":"https://doi.org/10.2308/isys-2023-003","title":"Employee Ratings and Reviews Data from Glassdoor","display_name":"Employee Ratings and Reviews Data from Glassdoor","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401451580","doi":"https://doi.org/10.2308/isys-2023-003"},"language":"en","primary_location":{"id":"doi:10.2308/isys-2023-003","is_oa":true,"landing_page_url":"https://doi.org/10.2308/isys-2023-003","pdf_url":"https://publications.aaahq.org/jis/article-pdf/doi/10.2308/ISYS-2023-003/111021/isys-2023-003.pdf","source":{"id":"https://openalex.org/S82262387","display_name":"Journal of Information Systems","issn_l":"0888-7985","issn":["0888-7985","1558-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316290","host_organization_name":"American Accounting Association","host_organization_lineage":["https://openalex.org/P4310316290"],"host_organization_lineage_names":["American Accounting Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://publications.aaahq.org/jis/article-pdf/doi/10.2308/ISYS-2023-003/111021/isys-2023-003.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084465494","display_name":"Mi Zhou","orcid":"https://orcid.org/0000-0001-9024-3732"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mi Zhou","raw_affiliation_strings":["Virginia Commonwealth University"],"raw_orcid":"https://orcid.org/0000-0001-9024-3732","affiliations":[{"raw_affiliation_string":"Virginia Commonwealth University","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003291122","display_name":"Yiyun Li","orcid":"https://orcid.org/0000-0002-5243-5810"},"institutions":[{"id":"https://openalex.org/I106969075","display_name":"Idaho State University","ror":"https://ror.org/0162z8b04","country_code":"US","type":"education","lineage":["https://openalex.org/I106969075"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaxuan Li","raw_affiliation_strings":["Idaho State University"],"raw_orcid":"https://orcid.org/0000-0002-5243-5810","affiliations":[{"raw_affiliation_string":"Idaho State University","institution_ids":["https://openalex.org/I106969075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016549835","display_name":"Zhilei Qiao","orcid":"https://orcid.org/0000-0003-1734-6967"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhilei Qiao","raw_affiliation_strings":["The University of Alabama at Birmingham"],"raw_orcid":"https://orcid.org/0000-0003-1734-6967","affiliations":[{"raw_affiliation_string":"The University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100552926","display_name":"Bowen Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Shi","raw_affiliation_strings":["Central University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central University of Finance and Economics","institution_ids":["https://openalex.org/I137867983"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6635,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86129124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"38","issue":"3","first_page":"93","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.758621871471405},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.7218860387802124},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.56156986951828},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5307117700576782},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5286063551902771},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5185302495956421},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4997391700744629},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4060781002044678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2861230969429016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10331511497497559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.758621871471405},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.7218860387802124},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.56156986951828},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5307117700576782},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5286063551902771},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5185302495956421},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4997391700744629},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4060781002044678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2861230969429016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10331511497497559},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2308/isys-2023-003","is_oa":true,"landing_page_url":"https://doi.org/10.2308/isys-2023-003","pdf_url":"https://publications.aaahq.org/jis/article-pdf/doi/10.2308/ISYS-2023-003/111021/isys-2023-003.pdf","source":{"id":"https://openalex.org/S82262387","display_name":"Journal of Information Systems","issn_l":"0888-7985","issn":["0888-7985","1558-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316290","host_organization_name":"American Accounting Association","host_organization_lineage":["https://openalex.org/P4310316290"],"host_organization_lineage_names":["American Accounting Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2308/isys-2023-003","is_oa":true,"landing_page_url":"https://doi.org/10.2308/isys-2023-003","pdf_url":"https://publications.aaahq.org/jis/article-pdf/doi/10.2308/ISYS-2023-003/111021/isys-2023-003.pdf","source":{"id":"https://openalex.org/S82262387","display_name":"Journal of Information Systems","issn_l":"0888-7985","issn":["0888-7985","1558-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316290","host_organization_name":"American Accounting Association","host_organization_lineage":["https://openalex.org/P4310316290"],"host_organization_lineage_names":["American Accounting Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401451580.pdf","grobid_xml":"https://content.openalex.org/works/W4401451580.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W588436072","https://openalex.org/W2179223602","https://openalex.org/W2312893499","https://openalex.org/W2313281002","https://openalex.org/W2580535162","https://openalex.org/W2625464253","https://openalex.org/W2800195100","https://openalex.org/W2915679416","https://openalex.org/W2964953216","https://openalex.org/W2965392285","https://openalex.org/W2972270770","https://openalex.org/W2975849860","https://openalex.org/W3000893341","https://openalex.org/W3047935915","https://openalex.org/W3123188814","https://openalex.org/W3123467935","https://openalex.org/W3124297118","https://openalex.org/W3124867418","https://openalex.org/W3125801706","https://openalex.org/W3126051183","https://openalex.org/W3172347479","https://openalex.org/W3175167365","https://openalex.org/W3179040139","https://openalex.org/W4240927651","https://openalex.org/W4253889179","https://openalex.org/W4283778654","https://openalex.org/W4294678674","https://openalex.org/W4313476539"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2370831213","https://openalex.org/W4315704968","https://openalex.org/W4285478380","https://openalex.org/W2100255360","https://openalex.org/W2140061545","https://openalex.org/W2032810564","https://openalex.org/W2107506952"],"abstract_inverted_index":{"ABSTRACT":[0],"This":[1],"paper":[2],"presents":[3],"the":[4,13,22,52,72,79,87],"employee":[5],"ratings":[6],"and":[7,12,20,37,74,92,124,129],"reviews":[8],"data":[9,69,88,133],"from":[10,89],"Glassdoor":[11,32],"R":[14,115],"codes":[15,116],"used":[16,45],"to":[17,66,85,104,131],"collect,":[18],"clean,":[19],"organize":[21],"data.":[23],"We":[24,40],"collect":[25],"three":[26],"types":[27],"of":[28,54,135],"information":[29],"for":[30],"each":[31],"review:":[33],"review":[34,80,112],"metrics,":[35,47],"content,":[36],"reviewer":[38],"information.":[39],"also":[41,126],"calculate":[42],"some":[43],"commonly":[44],"textual":[46],"such":[48],"as":[49,118],"sentiment,":[50],"readability,":[51],"number":[53],"uncertainty":[55],"words,":[56],"etc.":[57],"The":[58,114],"datasets":[59],"include":[60],"necessary":[61],"identifiers":[62],"that":[63],"can":[64,125],"connect":[65],"other":[67,132],"financial":[68],"sources.":[70],"All":[71],"variables":[73],"metrics":[75],"are":[76,122],"provided":[77,117],"at":[78],"level,":[81],"which":[82],"enables":[83],"researchers":[84],"aggregate":[86],"different":[90],"levels":[91],"angles.":[93],"As":[94],"a":[95,100],"demonstrative":[96],"example,":[97],"we":[98],"use":[99],"simple":[101],"word":[102],"list":[103],"measure":[105],"how":[106],"often":[107],"employees":[108],"mention":[109],"COVID-19":[110],"in":[111],"comments.":[113],"an":[119],"RStudio":[120],"project":[121],"self-contained":[123],"be":[127],"modified":[128],"applied":[130],"sources":[134],"interest.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}