{"id":"https://openalex.org/W2789307551","doi":"https://doi.org/10.1145/3172944.3172968","title":"Opportunity Team Builder for Sales Teams","display_name":"Opportunity Team Builder for Sales Teams","publication_year":2018,"publication_date":"2018-03-05","ids":{"openalex":"https://openalex.org/W2789307551","doi":"https://doi.org/10.1145/3172944.3172968","mag":"2789307551"},"language":"en","primary_location":{"id":"doi:10.1145/3172944.3172968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","raw_type":"proceedings-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/A5071374919","display_name":"\u00d6znur Alkan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Oznur Alkan","raw_affiliation_strings":["IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029550449","display_name":"Elizabeth Daly","orcid":"https://orcid.org/0000-0003-0162-3683"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Elizabeth M. Daly","raw_affiliation_strings":["IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039437419","display_name":"Inge Vejsbjerg","orcid":"https://orcid.org/0000-0003-3039-2140"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Inge Vejsbjerg","raw_affiliation_strings":["IBM Research, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071374919"],"corresponding_institution_ids":["https://openalex.org/I4210145784"],"apc_list":null,"apc_paid":null,"fwci":1.8908,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87228183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10970","display_name":"Team Dynamics and Performance","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6540031433105469},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.617667555809021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6088532209396362},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5404130220413208},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5360071659088135},{"id":"https://openalex.org/keywords/team-composition","display_name":"Team composition","score":0.5150660872459412},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4650289714336395},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42492133378982544},{"id":"https://openalex.org/keywords/team-effectiveness","display_name":"Team effectiveness","score":0.4147518575191498},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11716392636299133}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6540031433105469},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.617667555809021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6088532209396362},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5404130220413208},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5360071659088135},{"id":"https://openalex.org/C128654540","wikidata":"https://www.wikidata.org/wiki/Q7691641","display_name":"Team composition","level":2,"score":0.5150660872459412},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4650289714336395},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42492133378982544},{"id":"https://openalex.org/C57035238","wikidata":"https://www.wikidata.org/wiki/Q16938583","display_name":"Team effectiveness","level":2,"score":0.4147518575191498},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11716392636299133},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3172944.3172968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W31851999","https://openalex.org/W1524477228","https://openalex.org/W1575746600","https://openalex.org/W1973055775","https://openalex.org/W1994558922","https://openalex.org/W2002779084","https://openalex.org/W2019724387","https://openalex.org/W2049670925","https://openalex.org/W2060476262","https://openalex.org/W2087801835","https://openalex.org/W2113297784","https://openalex.org/W2148143831","https://openalex.org/W2151953639","https://openalex.org/W2158934860","https://openalex.org/W2162445884","https://openalex.org/W2507635762","https://openalex.org/W2963414859"],"related_works":["https://openalex.org/W2011424486","https://openalex.org/W2356693131","https://openalex.org/W2323705589","https://openalex.org/W4385552709","https://openalex.org/W2032340930","https://openalex.org/W259388059","https://openalex.org/W2217035770","https://openalex.org/W2019446186","https://openalex.org/W2017553520","https://openalex.org/W3123798562"],"abstract_inverted_index":{"Sellers":[0],"work":[1,105,182],"together":[2],"as":[3,171],"a":[4,20,38,141,172,207,212,283],"team":[5,54,149,159,208,256],"on":[6,42,63,122,229],"sales":[7,179],"opportunities,":[8],"using":[9,174],"their":[10],"expertise":[11],"in":[12,103,148,155,166,183],"different":[13],"roles":[14,23,70,117],"to":[15,79,135,145,188,205],"increase":[16],"the":[17,26,29,43,47,52,68,72,76,86,95,108,111,115,119,123,126,132,153,157,167,191,202,222,225,230,234,239,252,255,273],"probability":[18,143,192],"of":[19,37,193,214,233],"win.":[21],"These":[22],"include":[24],"managing":[25],"relationship":[27],"with":[28,185,244,251,261],"client,":[30],"overall":[31,231],"architecture":[32],"support":[33],"or":[34],"deep":[35],"knowledge":[36],"particular":[39],"product":[40],"depending":[41],"seller's":[44,87],"expertise,":[45],"and":[46,61,74,139,217,272],"current":[48,161],"opportunity":[49,58,73,120,162],"requirements.":[50],"Forming":[51],"right":[53,77],"for":[55,71,118,160],"an":[56,245],"incoming":[57],"is":[59,128,169,242,269],"vital":[60],"depends":[62],"several":[64],"factors":[65],"including":[66],"understanding":[67],"required":[69,116],"assigning":[75],"person":[78,204,226],"fulfill":[80,136],"these":[81,137],"roles,":[82,138],"taking":[83,209],"into":[84,110,210],"consideration":[85],"social":[88,218],"network.":[89],"In":[90],"this":[91,104],"paper,":[92],"we":[93],"present":[94,237],"Opportunity":[96,274],"Team":[97,275],"Builder":[98,276],"solution,":[99],"which":[100],"supports":[101,152],"sellers":[102,154],"by":[106],"dividing":[107],"process":[109],"following":[112],"sub-tasks;":[113],"identifying":[114],"based":[121],"products":[124],"that":[125,266,281],"client":[127],"interested":[129],"in,":[130],"recommending":[131],"best":[133,203],"people":[134],"providing":[140],"win":[142,194,285],"figure":[144],"guide":[146],"users":[147],"formation.":[150],"This":[151],"forming":[156],"bestfitting":[158],"dynamics.":[163],"Each":[164],"task":[165],"solution":[168,198,241,277],"implemented":[170],"model":[173],"historical":[175],"data":[176,264],"from":[177],"previous":[178],"opportunities.":[180],"Models":[181],"coordination":[184],"each":[186],"other":[187],"ultimately":[189],"maximize":[190],"over":[195],"loss.":[196],"The":[197],"not":[199],"only":[200],"recommends":[201],"join":[206],"account":[211],"combination":[213],"inferred":[215],"skills":[216],"relationships,":[219],"but":[220],"also":[221],"predicted":[223],"impact":[224],"can":[227,278],"have":[228],"performance":[232],"team.":[235],"We":[236],"how":[238],"whole":[240],"realized":[243],"intelligent":[246],"user":[247,253],"interface":[248],"enabling":[249],"interaction":[250],"throughout":[254],"formation":[257],"process.":[258],"Substantial":[259],"experiments":[260],"real":[262],"world":[263],"show":[265],"win/loss":[267],"prediction":[268],"performed":[270],"accurately":[271],"recommend":[279],"teams":[280],"achieve":[282],"higher":[284],"probability.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
