{"id":"https://openalex.org/W4385699361","doi":"https://doi.org/10.1287/isre.2023.1236","title":"Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity","display_name":"Transporting Causal Effects Across Populations Using Structural Causal Modeling: An Illustration to Work-from-Home Productivity","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4385699361","doi":"https://doi.org/10.1287/isre.2023.1236"},"language":"en","primary_location":{"id":"doi:10.1287/isre.2023.1236","is_oa":false,"landing_page_url":"https://doi.org/10.1287/isre.2023.1236","pdf_url":null,"source":{"id":"https://openalex.org/S202812398","display_name":"Information Systems Research","issn_l":"1047-7047","issn":["1047-7047","1526-5536"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035652249","display_name":"S.J. Park","orcid":"https://orcid.org/0000-0002-7806-7278"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sujin Park","raw_affiliation_strings":["College of Business Administration, University of Illinois at Chicago, Chicago, Illinois 60607;"],"raw_orcid":"https://orcid.org/0000-0002-7806-7278","affiliations":[{"raw_affiliation_string":"College of Business Administration, University of Illinois at Chicago, Chicago, Illinois 60607;","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000760201","display_name":"Ali Tafti","orcid":"https://orcid.org/0000-0002-4450-3668"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Tafti","raw_affiliation_strings":["College of Business Administration, University of Illinois at Chicago, Chicago, Illinois 60607;"],"raw_orcid":"https://orcid.org/0000-0002-4450-3668","affiliations":[{"raw_affiliation_string":"College of Business Administration, University of Illinois at Chicago, Chicago, Illinois 60607;","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018683729","display_name":"Galit Shmueli","orcid":"https://orcid.org/0000-0002-0820-0301"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Galit Shmueli","raw_affiliation_strings":["Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0820-0301","affiliations":[{"raw_affiliation_string":"Institute of Service Science, National Tsing Hua University, Hsinchu 30013, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035652249"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":1.1405,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81892189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"35","issue":"2","first_page":"686","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11542","display_name":"Behavioral Health and Interventions","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6730617880821228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672318339347839},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.5231714844703674},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.5205822587013245},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5140095949172974},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5043715238571167},{"id":"https://openalex.org/keywords/causal-loop-diagram","display_name":"Causal loop diagram","score":0.4853614568710327},{"id":"https://openalex.org/keywords/randomized-experiment","display_name":"Randomized experiment","score":0.4649898409843445},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.4379500448703766},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4360755383968353},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4125761389732361},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36855459213256836},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35369956493377686},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3392269015312195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18166151642799377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15822753310203552},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.1256856918334961},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12074404954910278},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12065204977989197},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10932481288909912},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09064853191375732}],"concepts":[{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6730617880821228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672318339347839},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5231714844703674},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.5205822587013245},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5140095949172974},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5043715238571167},{"id":"https://openalex.org/C144400606","wikidata":"https://www.wikidata.org/wiki/Q2412982","display_name":"Causal loop diagram","level":3,"score":0.4853614568710327},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.4649898409843445},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.4379500448703766},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4360755383968353},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4125761389732361},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36855459213256836},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35369956493377686},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3392269015312195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18166151642799377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15822753310203552},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.1256856918334961},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12074404954910278},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12065204977989197},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10932481288909912},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09064853191375732},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1287/isre.2023.1236","is_oa":false,"landing_page_url":"https://doi.org/10.1287/isre.2023.1236","pdf_url":null,"source":{"id":"https://openalex.org/S202812398","display_name":"Information Systems Research","issn_l":"1047-7047","issn":["1047-7047","1526-5536"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:inm:orisre:v:35:y:2024:i:2:p:686-705","is_oa":false,"landing_page_url":"http://doi.org/10.1287/isre.2023.1236","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1730782591","https://openalex.org/W1907947709","https://openalex.org/W1991208598","https://openalex.org/W1994094188","https://openalex.org/W2001362158","https://openalex.org/W2005441291","https://openalex.org/W2010044050","https://openalex.org/W2024702358","https://openalex.org/W2025699205","https://openalex.org/W2032036108","https://openalex.org/W2049589215","https://openalex.org/W2058167645","https://openalex.org/W2082238712","https://openalex.org/W2103371636","https://openalex.org/W2114245126","https://openalex.org/W2118151786","https://openalex.org/W2119510391","https://openalex.org/W2121756366","https://openalex.org/W2133186292","https://openalex.org/W2134215596","https://openalex.org/W2143891888","https://openalex.org/W2143993320","https://openalex.org/W2148728397","https://openalex.org/W2157815868","https://openalex.org/W2161708711","https://openalex.org/W2162061662","https://openalex.org/W2215822403","https://openalex.org/W2399404755","https://openalex.org/W2466989778","https://openalex.org/W2486285194","https://openalex.org/W2515189678","https://openalex.org/W2625310110","https://openalex.org/W2768163989","https://openalex.org/W2799940398","https://openalex.org/W2995750307","https://openalex.org/W3004227146","https://openalex.org/W3013514881","https://openalex.org/W3015441740","https://openalex.org/W3015461520","https://openalex.org/W3044971416","https://openalex.org/W3097981474","https://openalex.org/W3111194955","https://openalex.org/W3121505931","https://openalex.org/W3122302347","https://openalex.org/W3123608443","https://openalex.org/W3124795304","https://openalex.org/W3140987497","https://openalex.org/W3150893739","https://openalex.org/W3186944330","https://openalex.org/W3191068200","https://openalex.org/W4200245424","https://openalex.org/W4229737049","https://openalex.org/W4236213345"],"related_works":["https://openalex.org/W3163324908","https://openalex.org/W2244407938","https://openalex.org/W2230079393","https://openalex.org/W4385681392","https://openalex.org/W2959831541","https://openalex.org/W3092180579","https://openalex.org/W4288281243","https://openalex.org/W4221143667","https://openalex.org/W4221141204","https://openalex.org/W1982910299"],"abstract_inverted_index":{"Transportability":[0],"is":[1,61],"a":[2,10,14,22,54,106,122,127],"structural":[3],"causal":[4,11,51,128,146],"modeling":[5],"approach":[6],"aimed":[7],"at":[8],"\u201ctransporting\u201d":[9],"effect":[12,113,129],"from":[13,38],"randomized":[15,39],"experimental":[16],"study":[17],"in":[18,53,82,94],"one":[19],"population":[20,24,56],"to":[21,120,144],"different":[23,131],"where":[25,57],"only":[26],"observational":[27],"data":[28],"are":[29],"available.":[30],"It":[31],"allows":[32,47],"for":[33,90,125,139,170,181],"extracting":[34],"much":[35],"more":[36,179],"value":[37],"control":[40],"trials":[41],"because":[42,85],"under":[43],"some":[44,136],"conditions,":[45],"it":[46,75,178],"the":[48,59,67,87,99,112,149,164],"estimation":[49],"of":[50,73,86,114,151],"effects":[52],"target":[55],"replicating":[58],"experiment":[60],"difficult,":[62],"costly,":[63],"or":[64],"impossible.":[65],"Despite":[66],"enormous":[68],"economic":[69],"and":[70,96,133,157,168],"social":[71],"benefits":[72],"transportability,":[74],"has":[76],"thus":[77],"far":[78],"seldom":[79],"been":[80],"implemented":[81],"practice,":[83],"likely":[84],"lack":[88],"guidelines":[89],"applying":[91],"transportability":[92,174],"theory":[93],"practice":[95],"on":[97,116,173],"handling":[98],"statistical":[100],"challenges":[101],"that":[102,175],"might":[103],"arise.":[104],"Using":[105],"practical":[107,137,183],"problem":[108],"as":[109],"an":[110,154],"illustration\u2014estimating":[111],"telecommuting":[115],"worker":[117],"productivity\u2014we":[118],"attempt":[119],"offer":[121],"detailed":[123],"procedure":[124],"transporting":[126],"across":[130],"populations,":[132],"we":[134],"discuss":[135,163],"considerations":[138],"its":[140,159],"implementation,":[141],"including":[142],"how":[143],"conceptualize":[145],"diagrams,":[147],"determine":[148],"feasibility":[150],"transport,":[152],"select":[153],"appropriate":[155],"diagram,":[156],"evaluate":[158],"credibility.":[160],"We":[161],"also":[162],"current":[165],"limitations,":[166],"challenges,":[167],"opportunities":[169],"future":[171],"research":[172],"would":[176],"make":[177],"amenable":[180],"broad":[182],"use.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
