{"id":"https://openalex.org/W4388757784","doi":"https://doi.org/10.1109/uemcon59035.2023.10316093","title":"Review of Digitalization using Big Data Maturity Models: The Case of American Automotive SMEs","display_name":"Review of Digitalization using Big Data Maturity Models: The Case of American Automotive SMEs","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4388757784","doi":"https://doi.org/10.1109/uemcon59035.2023.10316093"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon59035.2023.10316093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon59035.2023.10316093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","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/A5048764215","display_name":"Dharmender Salian","orcid":null},"institutions":[{"id":"https://openalex.org/I276309446","display_name":"University of the Cumberlands","ror":"https://ror.org/05jz3sn81","country_code":"US","type":"education","lineage":["https://openalex.org/I276309446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dharmender Salian","raw_affiliation_strings":["University of Cumberlands,Department of Information Technology,Kentucky,USA","Department of Information Technology, University of Cumberlands, Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cumberlands,Department of Information Technology,Kentucky,USA","institution_ids":["https://openalex.org/I276309446"]},{"raw_affiliation_string":"Department of Information Technology, University of Cumberlands, Kentucky, USA","institution_ids":["https://openalex.org/I276309446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083330749","display_name":"Raed Sbeit","orcid":null},"institutions":[{"id":"https://openalex.org/I276309446","display_name":"University of the Cumberlands","ror":"https://ror.org/05jz3sn81","country_code":"US","type":"education","lineage":["https://openalex.org/I276309446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed Sbeit","raw_affiliation_strings":["University of Cumberlands,School of Computer Information Sciences,Kentucky,USA","School of Computer Information Sciences, University of Cumberlands, Kentucky, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cumberlands,School of Computer Information Sciences,Kentucky,USA","institution_ids":["https://openalex.org/I276309446"]},{"raw_affiliation_string":"School of Computer Information Sciences, University of Cumberlands, Kentucky, USA","institution_ids":["https://openalex.org/I276309446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I276309446"],"apc_list":null,"apc_paid":null,"fwci":0.5933,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74805093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"0101","last_page":"0106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9976000189781189,"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":0.9976000189781189,"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/T10763","display_name":"Digital Transformation in Industry","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13181","display_name":"Economic and Technological Systems Analysis","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"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":0.8345870971679688},{"id":"https://openalex.org/keywords/maturity","display_name":"Maturity (psychological)","score":0.8092254996299744},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7688847780227661},{"id":"https://openalex.org/keywords/capability-maturity-model","display_name":"Capability Maturity Model","score":0.7239341139793396},{"id":"https://openalex.org/keywords/futures-studies","display_name":"Futures studies","score":0.6842928528785706},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6135009527206421},{"id":"https://openalex.org/keywords/service-integration-maturity-model","display_name":"Service Integration Maturity Model","score":0.5031761527061462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5011312961578369},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4515112042427063},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36094340682029724},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20344454050064087},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14946067333221436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12080645561218262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08712950348854065}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8345870971679688},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.8092254996299744},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7688847780227661},{"id":"https://openalex.org/C85890633","wikidata":"https://www.wikidata.org/wiki/Q929673","display_name":"Capability Maturity Model","level":3,"score":0.7239341139793396},{"id":"https://openalex.org/C64848388","wikidata":"https://www.wikidata.org/wiki/Q188867","display_name":"Futures studies","level":2,"score":0.6842928528785706},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6135009527206421},{"id":"https://openalex.org/C73890322","wikidata":"https://www.wikidata.org/wiki/Q7455693","display_name":"Service Integration Maturity Model","level":4,"score":0.5031761527061462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5011312961578369},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4515112042427063},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36094340682029724},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20344454050064087},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14946067333221436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12080645561218262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08712950348854065},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uemcon59035.2023.10316093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon59035.2023.10316093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 14th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W631097416","https://openalex.org/W2079522878","https://openalex.org/W2564128506","https://openalex.org/W2580408412","https://openalex.org/W2755119603","https://openalex.org/W2810115316","https://openalex.org/W2971056023","https://openalex.org/W2992679726","https://openalex.org/W3000475289","https://openalex.org/W3091953043","https://openalex.org/W3205172848","https://openalex.org/W4224023540","https://openalex.org/W4229968198","https://openalex.org/W4231718524","https://openalex.org/W4234206318","https://openalex.org/W4235390597","https://openalex.org/W4243953134","https://openalex.org/W4250828840","https://openalex.org/W4285039482","https://openalex.org/W4311456830","https://openalex.org/W4313259438","https://openalex.org/W4313392050","https://openalex.org/W4380885304","https://openalex.org/W4382300344","https://openalex.org/W4388778627","https://openalex.org/W6744694763"],"related_works":["https://openalex.org/W2806063704","https://openalex.org/W2889844859","https://openalex.org/W2530870121","https://openalex.org/W3175617745","https://openalex.org/W2912268755","https://openalex.org/W2992877076","https://openalex.org/W797518012","https://openalex.org/W2734763330","https://openalex.org/W2961659353","https://openalex.org/W4384822944"],"abstract_inverted_index":{"A":[0],"systematic":[1],"review":[2],"of":[3,16,46,58,97,143],"studies":[4],"related":[5],"to":[6,81,93,111,122,139],"big":[7,47,84,98],"data":[8,48,85,99],"maturity":[9,86,147],"models":[10],"in":[11,32,90],"manufacturing":[12,50],"is":[13,88],"the":[14,56,95,108,119,124,133,141],"goal":[15],"this":[17,91,116],"study.":[18],"To":[19],"retain":[20],"a":[21],"competitive":[22],"advantage,":[23],"reduce":[24],"operational":[25],"expenses,":[26],"and":[27,37,72,79,130],"compete":[28],"with":[29],"larger":[30],"companies":[31],"their":[33],"respective":[34],"markets,":[35],"small":[36],"medium":[38],"enterprises":[39],"(SMEs)":[40],"must":[41],"embrace":[42],"digitalization.":[43],"The":[44,83],"impact":[45],"on":[49],"has":[51],"been":[52],"significant":[53],"globally.":[54],"Despite":[55],"lack":[57],"foresight":[59],"among":[60,101],"American":[61,102],"automotive":[62,103],"SMEs":[63],"regarding":[64],"digitalization,":[65],"benefits":[66],"such":[67],"as":[68],"improved":[69],"workflow,":[70],"efficiencies,":[71],"reduced":[73],"overheads":[74],"are":[75],"making":[76],"it":[77],"useful":[78],"invaluable":[80],"customers.":[82],"model":[87],"used":[89,136],"paper":[92,106,117],"assess":[94],"state":[96],"applications":[100],"SMEs.":[104],"This":[105],"reviewed":[107],"existing":[109,120,125,144],"literature":[110,121],"achieve":[112],"two":[113],"objectives.":[114],"First,":[115],"evaluates":[118],"identify":[123],"Big":[126,145],"Data":[127,146],"Maturity":[128],"Models,":[129],"then":[131],"summarizes":[132],"most":[134],"frequently":[135],"models.":[137,148],"Second,":[138],"emphasize":[140],"limitations":[142]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
