{"id":"https://openalex.org/W2583226690","doi":"https://doi.org/10.1109/bigdata.2016.7840936","title":"Big data team process methodologies: A literature review and the identification of key factors for a project's success","display_name":"Big data team process methodologies: A literature review and the identification of key factors for a project's success","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583226690","doi":"https://doi.org/10.1109/bigdata.2016.7840936","mag":"2583226690"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"review","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/A5059644651","display_name":"Jeffrey Saltz","orcid":"https://orcid.org/0000-0002-8913-1095"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey S. Saltz","raw_affiliation_strings":["Syracuse University Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038222783","display_name":"Ivan Shamshurin","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Shamshurin","raw_affiliation_strings":["Syracuse University Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Syracuse University Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059644651"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":10.0802,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.97991191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2872","last_page":"2879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9914000034332275,"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/T11572","display_name":"Information Technology Governance and Strategy","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/big-data","display_name":"Big data","score":0.7179057598114014},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.645104169845581},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6368285417556763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6077789068222046},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5535616278648376},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4998176097869873},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49962949752807617},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4539501368999481},{"id":"https://openalex.org/keywords/project-team","display_name":"Project team","score":0.4517372250556946},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.4350014925003052},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41618987917900085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24055969715118408},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10744819045066833},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07874429225921631}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7179057598114014},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.645104169845581},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6368285417556763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6077789068222046},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5535616278648376},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4998176097869873},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49962949752807617},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4539501368999481},{"id":"https://openalex.org/C2777205345","wikidata":"https://www.wikidata.org/wiki/Q1454317","display_name":"Project team","level":2,"score":0.4517372250556946},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.4350014925003052},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41618987917900085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24055969715118408},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10744819045066833},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07874429225921631},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W41274483","https://openalex.org/W421121722","https://openalex.org/W810363928","https://openalex.org/W952706385","https://openalex.org/W1122514139","https://openalex.org/W1153687699","https://openalex.org/W1155318982","https://openalex.org/W1170672232","https://openalex.org/W1198410920","https://openalex.org/W1551230647","https://openalex.org/W1595741629","https://openalex.org/W1997752435","https://openalex.org/W2075485361","https://openalex.org/W2079475024","https://openalex.org/W2087264237","https://openalex.org/W2103281268","https://openalex.org/W2118136796","https://openalex.org/W2130204178","https://openalex.org/W2146138339","https://openalex.org/W2168894761","https://openalex.org/W2181467715","https://openalex.org/W2206490946","https://openalex.org/W2207131393","https://openalex.org/W2212578844","https://openalex.org/W2214306769","https://openalex.org/W2214534990","https://openalex.org/W2221278576","https://openalex.org/W2221512497","https://openalex.org/W2242169805","https://openalex.org/W2243100987","https://openalex.org/W2269531456","https://openalex.org/W2296704833","https://openalex.org/W2340139852","https://openalex.org/W2473170513","https://openalex.org/W2501175677","https://openalex.org/W2537031909","https://openalex.org/W2556328512","https://openalex.org/W2573703834","https://openalex.org/W2730100230","https://openalex.org/W3148056008","https://openalex.org/W4400997822","https://openalex.org/W6622878933","https://openalex.org/W6625065369","https://openalex.org/W6627028972","https://openalex.org/W6627473557","https://openalex.org/W6627525331","https://openalex.org/W6627594073","https://openalex.org/W6627988683","https://openalex.org/W6679182178","https://openalex.org/W6681575827","https://openalex.org/W6687980972","https://openalex.org/W6690120010"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2982428536"],"abstract_inverted_index":{"This":[0],"paper":[1],"reports":[2],"on":[3],"our":[4,56,69,86],"review":[5],"of":[6,72,90],"published":[7],"research":[8,40],"relating":[9],"to":[10,15,62],"how":[11],"teams":[12],"work":[13],"together":[14],"execute":[16,65],"Big":[17,79,93],"Data":[18,80,94],"projects.":[19],"Our":[20],"findings":[21],"suggest":[22],"that":[23,35,46],"there":[24,36],"is":[25,37],"no":[26],"agreed":[27],"upon":[28],"standard":[29],"for":[30,77],"executing":[31,78],"these":[32],"projects":[33],"but":[34],"a":[38,91],"growing":[39],"focus":[41],"in":[42],"this":[43],"area":[44],"and":[45],"an":[47],"improved":[48],"process":[49],"methodology":[50],"would":[51],"be":[52],"useful.":[53],"In":[54],"addition,":[55],"synthesis":[57],"also":[58],"provides":[59],"useful":[60],"suggestions":[61],"help":[63],"practitioners":[64],"their":[66],"projects,":[67],"specifically":[68],"identified":[70,88],"list":[71],"33":[73],"important":[74],"success":[75],"factors":[76],"efforts,":[81],"which":[82],"are":[83],"grouped":[84],"by":[85],"six":[87],"characteristics":[89],"mature":[92],"organization.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}