{"id":"https://openalex.org/W2899408648","doi":"https://doi.org/10.1145/3274331","title":"Productivity in an Era of Multi-Teaming","display_name":"Productivity in an Era of Multi-Teaming","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2899408648","doi":"https://doi.org/10.1145/3274331","mag":"2899408648"},"language":"en","primary_location":{"id":"doi:10.1145/3274331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274331","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","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/A5058904450","display_name":"Pranav Gupta","orcid":"https://orcid.org/0000-0003-2640-1390"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pranav Gupta","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028277052","display_name":"Anita Williams Woolley","orcid":"https://orcid.org/0000-0003-0620-4744"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anita Williams Woolley","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058904450"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.9945,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86926724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2","issue":"CSCW","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10970","display_name":"Team Dynamics and Performance","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10970","display_name":"Team Dynamics and Performance","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12028","display_name":"Knowledge Management and Sharing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.8794409036636353},{"id":"https://openalex.org/keywords/transactive-memory","display_name":"Transactive memory","score":0.8780697584152222},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6221587061882019},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.604999840259552},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.5821630358695984},{"id":"https://openalex.org/keywords/team-effectiveness","display_name":"Team effectiveness","score":0.5736287236213684},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.5218673944473267},{"id":"https://openalex.org/keywords/team-composition","display_name":"Team composition","score":0.5085285902023315},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.45325595140457153},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4371604919433594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3645431399345398},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3618779480457306},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3206314146518707},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.18529027700424194}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.8794409036636353},{"id":"https://openalex.org/C166729404","wikidata":"https://www.wikidata.org/wiki/Q7833742","display_name":"Transactive memory","level":2,"score":0.8780697584152222},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6221587061882019},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.604999840259552},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5821630358695984},{"id":"https://openalex.org/C57035238","wikidata":"https://www.wikidata.org/wiki/Q16938583","display_name":"Team effectiveness","level":2,"score":0.5736287236213684},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.5218673944473267},{"id":"https://openalex.org/C128654540","wikidata":"https://www.wikidata.org/wiki/Q7691641","display_name":"Team composition","level":2,"score":0.5085285902023315},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.45325595140457153},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4371604919433594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3645431399345398},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3618779480457306},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3206314146518707},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.18529027700424194},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3274331","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274331","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W110166960","https://openalex.org/W112283159","https://openalex.org/W188634789","https://openalex.org/W600904471","https://openalex.org/W611720628","https://openalex.org/W1533007440","https://openalex.org/W1587531856","https://openalex.org/W1849190772","https://openalex.org/W1908991493","https://openalex.org/W1926382720","https://openalex.org/W1964596829","https://openalex.org/W1970463918","https://openalex.org/W1991044014","https://openalex.org/W1991095634","https://openalex.org/W2004868072","https://openalex.org/W2025434867","https://openalex.org/W2027023877","https://openalex.org/W2041605163","https://openalex.org/W2044053714","https://openalex.org/W2049890080","https://openalex.org/W2058785416","https://openalex.org/W2059013596","https://openalex.org/W2087944368","https://openalex.org/W2090330175","https://openalex.org/W2094938541","https://openalex.org/W2097134296","https://openalex.org/W2098852652","https://openalex.org/W2100131590","https://openalex.org/W2104442032","https://openalex.org/W2104874676","https://openalex.org/W2110046176","https://openalex.org/W2110444447","https://openalex.org/W2111936320","https://openalex.org/W2113121552","https://openalex.org/W2117644279","https://openalex.org/W2120220258","https://openalex.org/W2126441991","https://openalex.org/W2132916237","https://openalex.org/W2134595450","https://openalex.org/W2137430219","https://openalex.org/W2146713452","https://openalex.org/W2156653081","https://openalex.org/W2160801282","https://openalex.org/W2170472169","https://openalex.org/W2292595861","https://openalex.org/W2354248936","https://openalex.org/W2581676360","https://openalex.org/W2582743722","https://openalex.org/W2584772404","https://openalex.org/W2592785548","https://openalex.org/W2757423929","https://openalex.org/W2795081714","https://openalex.org/W2900357084","https://openalex.org/W3009583849","https://openalex.org/W3009912846","https://openalex.org/W3124500218","https://openalex.org/W4242496111","https://openalex.org/W4245591466","https://openalex.org/W4246028138","https://openalex.org/W4247419361"],"related_works":["https://openalex.org/W2011424486","https://openalex.org/W1606799235","https://openalex.org/W2356693131","https://openalex.org/W2323705589","https://openalex.org/W2077236976","https://openalex.org/W4385552709","https://openalex.org/W2769479427","https://openalex.org/W2032340930","https://openalex.org/W2008476245","https://openalex.org/W2070661322"],"abstract_inverted_index":{"When":[0],"and":[1,146],"why":[2],"do":[3],"information":[4,81,131],"dashboards":[5],"enhance":[6],"team":[7,41,49,123],"productivity?":[8],"We":[9,31],"explore":[10],"this":[11],"question":[12],"in":[13,40,115],"the":[14,28,77,88,109,139],"context":[15],"of":[16,62,70,79,91,129,141],"project":[17],"teams":[18,26,135],"whose":[19],"members":[20,66],"have":[21,44],"to":[22,67],"work":[23],"across":[24],"multiple":[25],"at":[27],"same":[29],"time.":[30],"expected":[32,76],"multi-teaming,":[33],"especially":[34],"that":[35,107,112],"involving":[36],"a":[37,45,53,59],"high":[38],"variety":[39],"members,":[42],"would":[43],"negative":[46],"effect":[47],"on":[48],"performance":[50,124,140],"by":[51,125],"impairing":[52],"team's":[54],"transactive":[55],"memory":[56],"system":[57],"(TMS),":[58],"critical":[60],"form":[61],"shared":[63],"cognition":[64],"allowing":[65],"keep":[68],"track":[69],"who":[71],"knows":[72],"what.":[73],"Further,":[74],"we":[75,99],"use":[78,128],"an":[80,101,130],"dashboard":[82,132],"with":[83],"member":[84],"skills":[85],"could":[86],"combat":[87],"harmful":[89],"effects":[90],"high-variety":[92,134],"multi-teaming.":[93],"To":[94],"test":[95],"our":[96],"hypotheses":[97],"experimentally,":[98],"developed":[100],"online":[102],"game":[103],"(Knowledge":[104],"Worker's":[105],"Dilemma)":[106],"simulates":[108],"coordination":[110],"decisions":[111],"professionals":[113],"face":[114],"app":[116],"development":[117],"teams.":[118,143],"Results":[119],"show":[120],"multi-teaming":[121],"hurt":[122,138],"reducing":[126],"TMS;":[127],"benefited":[133],"and,":[136],"surprisingly,":[137],"low-variety":[142],"Potential":[144],"explanations":[145],"implications":[147],"are":[148],"discussed.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}