{"id":"https://openalex.org/W4290928364","doi":"https://doi.org/10.1016/j.procs.2022.07.110","title":"Aligning Tasks, Technology, People, and Structures to Leverage the Value of Big Data Analytics","display_name":"Aligning Tasks, Technology, People, and Structures to Leverage the Value of Big Data Analytics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4290928364","doi":"https://doi.org/10.1016/j.procs.2022.07.110"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2022.07.110","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2022.07.110","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2022.07.110","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014920147","display_name":"Rutendo Mushore","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rutendo Mushore","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024897823","display_name":"Michael Kyobe","orcid":"https://orcid.org/0000-0002-8037-8251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Kyobe","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014920147"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8237,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77011126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"203","issue":null,"first_page":"739","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9936000108718872,"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/T13204","display_name":"Competitive and Knowledge Intelligence","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/leverage","display_name":"Leverage (statistics)","score":0.8568735122680664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501468658447266},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7130873203277588},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.599152147769928},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5584866404533386},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5235573649406433},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5023388862609863},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.46270158886909485},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4114891290664673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13525992631912231},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12697362899780273},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.1092928946018219}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8568735122680664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501468658447266},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7130873203277588},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.599152147769928},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5584866404533386},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5235573649406433},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5023388862609863},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.46270158886909485},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4114891290664673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13525992631912231},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12697362899780273},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.1092928946018219},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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:10.1016/j.procs.2022.07.110","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2022.07.110","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2022.07.110","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2022.07.110","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W145235907","https://openalex.org/W659099727","https://openalex.org/W1977671923","https://openalex.org/W2003584736","https://openalex.org/W2005470030","https://openalex.org/W2009199090","https://openalex.org/W2059216766","https://openalex.org/W2120751691","https://openalex.org/W2134830607","https://openalex.org/W2140101594","https://openalex.org/W2141975087","https://openalex.org/W2144470928","https://openalex.org/W2517745273","https://openalex.org/W3125844238","https://openalex.org/W3125976894","https://openalex.org/W3128971750","https://openalex.org/W4243997995","https://openalex.org/W6605957051"],"related_works":["https://openalex.org/W2551093110","https://openalex.org/W2777139086","https://openalex.org/W4225687343","https://openalex.org/W3213207708","https://openalex.org/W4288085467","https://openalex.org/W3194102186","https://openalex.org/W2921734339","https://openalex.org/W4386014817","https://openalex.org/W3013315095","https://openalex.org/W4381684851"],"abstract_inverted_index":{"This":[0],"study":[1,135],"provides":[2],"an":[3],"understanding":[4],"of":[5,37,77,100,151,153,165,190],"how":[6,121],"task,":[7],"technology,":[8,90],"people":[9,91],"and":[10,48,54,95],"structures":[11,187],"(TTPS)":[12],"can":[13,126],"be":[14,86,127],"used":[15,42],"by":[16,88,113],"developing":[17],"countries":[18],"as":[19,167],"a":[20,45],"baseline":[21],"for":[22,70],"future":[23],"alignment":[24,152,166,172],"evaluations":[25],"to":[26,43,85,129,147],"leverage":[27],"big":[28,71],"data":[29,72],"analytics":[30],"(BDA)":[31],"in":[32,142,193,200],"healthcare.":[33],"Enabling":[34],"the":[35,61,81,89,93,96,101,110,156,163,203],"adoption":[36],"patient-empowering":[38],"technologies":[39],"is":[40,117,199],"being":[41],"cultivate":[44],"more":[46],"patient-centric":[47],"collaborative":[49],"healthcare":[50,64],"ecosystem.":[51],"Creating":[52],"simple":[53],"reliable":[55],"technology":[56,94,198],"then":[57],"integrating":[58],"it":[59],"into":[60],"existing":[62],"public":[63],"infrastructure":[65],"has":[66],"generated":[67,112],"new":[68],"challenges":[69],"analytics.":[73],"Challenges":[74],"arise":[75],"because":[76],"complex":[78],"interactions":[79],"among":[80],"tasks":[82],"that":[83,108],"need":[84],"supported":[87],"using":[92],"distinct":[97],"contextual":[98],"characteristics":[99],"organization.":[102],"Therefore,":[103],"TTPS":[104,154,174],"are":[105],"organisational":[106,195],"elements":[107,125],"affect":[109],"value":[111,158],"BDA.":[114,160],"However,":[115],"little":[116],"still":[118],"known":[119],"about":[120],"these":[122],"interacting":[123],"organizational":[124],"aligned":[128],"obtain":[130],"maximum":[131],"BDA":[132,191],"value.":[133],"A":[134],"involving":[136],"participants":[137],"from":[138,159],"different":[139],"industrial":[140],"sectors":[141],"South":[143],"Africa":[144],"was":[145],"conducted":[146],"determine":[148],"what":[149],"level":[150],"yields":[155],"best":[157],"We":[161],"adopted":[162],"notion":[164],"Gestalts.":[168],"Results":[169],"show":[170],"strong":[171],"between":[173],"where":[175],"IT":[176],"experts":[177],"work":[178],"closely":[179],"with":[180,186,202],"financial":[181],"planners.":[182],"Adequate":[183],"training,":[184],"coupled":[185],"encouraging":[188],"usage":[189],"results":[192],"higher":[194],"performance":[196],"when":[197],"sync":[201],"tasks.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
