{"id":"https://openalex.org/W4411580997","doi":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","title":"A Review of Data-Driven Prescriptive Analytics (DPSA) Models for Operational Efficiency across Industry Sectors","display_name":"A Review of Data-Driven Prescriptive Analytics (DPSA) Models for Operational Efficiency across Industry Sectors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4411580997","doi":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427"},"language":"en","primary_location":{"id":"doi:10.54660/.ijmrge.2021.2.2.420-427","doi":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","is_oa":true,"landing_page_url":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","pdf_url":"https://www.allmultidisciplinaryjournal.com/uploads/archives/20250624185623_MGE-2025-3-372.1.pdf","source":{"id":"https://openalex.org/S4210181739","display_name":"International Journal of Multidisciplinary Research and Growth Evaluation","issn_l":"2582-7138","issn":["2582-7138"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multidisciplinary Research and Growth Evaluation","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.allmultidisciplinaryjournal.com/uploads/archives/20250624185623_MGE-2025-3-372.1.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118458059","display_name":"Ifeoluwa Oreofe Oluwafemi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ifeoluwa Oreofe Oluwafemi","raw_affiliation_strings":["University of Lincoln , UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lincoln , UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tosin Clement","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tosin Clement","raw_affiliation_strings":["Independent Researcher , Lagos Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher , Lagos Nigeria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117415370","display_name":"Oluwasanmi Segun Adanigbo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oluwasanmi Segun Adanigbo","raw_affiliation_strings":["Bancore Group HQ , Copenhagen , Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bancore Group HQ , Copenhagen , Denmark","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117448630","display_name":"Toluwase Peter Gbenle","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toluwase Peter Gbenle","raw_affiliation_strings":["Soft-com Limited , Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soft-com Limited , Nigeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116845884","display_name":"Bolaji Iyanu Adekunle","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bolaji Iyanu Adekunle","raw_affiliation_strings":["Data Analyst , Federal Ministry of Mines and Steel Development , Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Analyst , Federal Ministry of Mines and Steel Development , Nigeria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9733,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81182621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"420","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9951000213623047,"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":0.9951000213623047,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.00419999985024333,"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/T13812","display_name":"AI and HR Technologies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource 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/operational-efficiency","display_name":"operational efficiency","score":0.9900000095367432},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.5550000071525574},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"resource allocation","score":0.906000018119812},{"id":"https://openalex.org/keywords/manufacturing-industry","display_name":"manufacturing industry","score":0.5839999914169312},{"id":"https://openalex.org/keywords/energy-sector","display_name":"energy sector","score":0.9620000123977661},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"supply chain management","score":1.0},{"id":"https://openalex.org/keywords/data-silos","display_name":"data silos","score":0.9729999899864197},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.9990000128746033},{"id":"https://openalex.org/keywords/small-and-medium-sized-enterprises","display_name":"small and medium-sized enterprises","score":0.9779999852180481},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9089999794960022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.722000002861023},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"business intelligence","score":0.5519999861717224}],"concepts":[{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7065826654434204},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.558189868927002},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5047041177749634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48816901445388794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20850375294685364}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54660/.ijmrge.2021.2.2.420-427","doi":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","is_oa":true,"landing_page_url":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","pdf_url":"https://www.allmultidisciplinaryjournal.com/uploads/archives/20250624185623_MGE-2025-3-372.1.pdf","source":{"id":"https://openalex.org/S4210181739","display_name":"International Journal of Multidisciplinary Research and Growth Evaluation","issn_l":"2582-7138","issn":["2582-7138"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multidisciplinary Research and Growth Evaluation","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54660/.ijmrge.2021.2.2.420-427","doi":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","is_oa":true,"landing_page_url":"https://doi.org/10.54660/.ijmrge.2021.2.2.420-427","pdf_url":"https://www.allmultidisciplinaryjournal.com/uploads/archives/20250624185623_MGE-2025-3-372.1.pdf","source":{"id":"https://openalex.org/S4210181739","display_name":"International Journal of Multidisciplinary Research and Growth Evaluation","issn_l":"2582-7138","issn":["2582-7138"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multidisciplinary Research and Growth Evaluation","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411580997.pdf","grobid_xml":"https://content.openalex.org/works/W4411580997.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3092201768","https://openalex.org/W2796632413","https://openalex.org/W2740083192","https://openalex.org/W2508885301","https://openalex.org/W2794907032","https://openalex.org/W4255802207","https://openalex.org/W4298181270","https://openalex.org/W4385267788"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"comprehensive":[4],"review":[5,73,141],"of":[6,78,146],"Data-Driven":[7],"Prescriptive":[8],"Analytics":[9],"(DPSA)":[10],"models":[11],"and":[12,28,38,47,56,70,87,103,108,124,137,158],"their":[13],"role":[14],"in":[15,80,106,161],"enhancing":[16],"operational":[17],"efficiency":[18],"across":[19],"diverse":[20],"industry":[21],"sectors.":[22],"By":[23],"synthesizing":[24],"existing":[25],"frameworks,":[26],"algorithms,":[27],"real-world":[29],"implementations,":[30],"the":[31,75,144],"study":[32],"identifies":[33],"how":[34,116,147],"DPSA":[35,79,132],"leverages":[36],"historical":[37],"real-time":[39,125],"data":[40,99,126],"to":[41,61,95,134,143],"recommend":[42],"actionable":[43],"strategies,":[44],"optimize":[45],"decision-making,":[46],"allocate":[48],"resources":[49],"more":[50],"effectively.":[51],"Drawing":[52],"from":[53],"both":[54],"conceptual":[55],"empirical":[57],"literature":[58],"published":[59],"up":[60],"2021\u2014including":[62],"advanced":[63],"AI-driven":[64],"analytics,":[65],"cloud-based":[66],"business":[67,153],"intelligence":[68],"systems,":[69],"predictive":[71],"modeling\u2014the":[72],"highlights":[74],"transformative":[76],"power":[77],"sectors":[81],"such":[82,97],"as":[83,98],"manufacturing,":[84],"energy,":[85],"finance,":[86],"supply":[88],"chain":[89],"management.":[90],"Special":[91],"attention":[92],"is":[93],"given":[94],"barriers":[96],"silos,":[100],"model":[101],"interpretability,":[102],"integration":[104],"challenges":[105],"small":[107],"medium":[109],"enterprises":[110],"(SMEs).":[111],"The":[112],"analysis":[113],"also":[114],"explores":[115],"innovations":[117],"like":[118],"natural":[119],"language":[120],"processing,":[121],"machine":[122],"learning,":[123],"governance":[127],"systems":[128],"are":[129],"embedded":[130],"into":[131],"architectures":[133],"improve":[135],"scalability":[136],"adaptability.":[138],"Ultimately,":[139],"this":[140],"contributes":[142],"understanding":[145],"prescriptive":[148],"analytics":[149],"can":[150],"support":[151],"sustainable":[152],"operations,":[154],"agile":[155],"response":[156],"mechanisms,":[157],"competitive":[159],"advantage":[160],"data-intensive":[162],"environments.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2025-10-10T00:00:00"}
