{"id":"https://openalex.org/W4376454947","doi":"https://doi.org/10.1109/icmss56787.2023.10117690","title":"Optimizing Supply Chain Performance of SMEs through Big Data Analytic and IT-enabled Capabilities","display_name":"Optimizing Supply Chain Performance of SMEs through Big Data Analytic and IT-enabled Capabilities","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4376454947","doi":"https://doi.org/10.1109/icmss56787.2023.10117690"},"language":"en","primary_location":{"id":"doi:10.1109/icmss56787.2023.10117690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmss56787.2023.10117690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","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/A5091933221","display_name":"Fazila Jalil","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fazila Jalil","raw_affiliation_strings":["School of Economics and Management, University of Science and Technology Beijing,Beijing,P.R. China,100083"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Science and Technology Beijing,Beijing,P.R. China,100083","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089171598","display_name":"Jianhua Yang","orcid":"https://orcid.org/0000-0002-2411-0955"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Yang","raw_affiliation_strings":["School of Economics and Management, University of Science and Technology Beijing,Beijing,P.R. China,100083"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Science and Technology Beijing,Beijing,P.R. China,100083","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069699363","display_name":"Muhammad Irbaz Siddique","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Irbaz Siddique","raw_affiliation_strings":["School of Computer and Information, Beijing Jiatong University (BJTU),Beijing,P.R. China,100043"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Beijing Jiatong University (BJTU),Beijing,P.R. China,100043","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091933221"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.3273,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59899593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9944000244140625,"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":0.9944000244140625,"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/T10164","display_name":"Quality and Supply Management","score":0.9714000225067139,"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/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9606000185012817,"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/nexus","display_name":"Nexus (standard)","score":0.8958941102027893},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.7014631032943726},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6906768679618835},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.6774054765701294},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.676216185092926},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.5977044105529785},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.5623931288719177},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43636614084243774},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4146576523780823},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.41002869606018066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4009277820587158},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2146555781364441},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12991878390312195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12388056516647339}],"concepts":[{"id":"https://openalex.org/C148609458","wikidata":"https://www.wikidata.org/wiki/Q7021281","display_name":"Nexus (standard)","level":2,"score":0.8958941102027893},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.7014631032943726},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6906768679618835},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6774054765701294},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.676216185092926},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.5977044105529785},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.5623931288719177},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43636614084243774},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4146576523780823},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.41002869606018066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4009277820587158},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2146555781364441},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12991878390312195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12388056516647339},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmss56787.2023.10117690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmss56787.2023.10117690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W5967781","https://openalex.org/W941962335","https://openalex.org/W1492127447","https://openalex.org/W1891707100","https://openalex.org/W2006036737","https://openalex.org/W2017566884","https://openalex.org/W2031636632","https://openalex.org/W2035880114","https://openalex.org/W2048630522","https://openalex.org/W2070854196","https://openalex.org/W2080731889","https://openalex.org/W2080943434","https://openalex.org/W2100722897","https://openalex.org/W2126276979","https://openalex.org/W2136697323","https://openalex.org/W2156530227","https://openalex.org/W2163040809","https://openalex.org/W2505786633","https://openalex.org/W2544685225","https://openalex.org/W2561082026","https://openalex.org/W2606568264","https://openalex.org/W2608319260","https://openalex.org/W2763439281","https://openalex.org/W2788117056","https://openalex.org/W2797569549","https://openalex.org/W2899540858","https://openalex.org/W2920221770","https://openalex.org/W3108953960","https://openalex.org/W3156811699","https://openalex.org/W3187137902","https://openalex.org/W3212987114","https://openalex.org/W4200339298","https://openalex.org/W4210432970","https://openalex.org/W4210454416","https://openalex.org/W4224438307","https://openalex.org/W4247244462","https://openalex.org/W4288967086","https://openalex.org/W4289169110","https://openalex.org/W6600241672","https://openalex.org/W6678938947","https://openalex.org/W6680048794","https://openalex.org/W6786516335","https://openalex.org/W6799299945","https://openalex.org/W6804798242"],"related_works":["https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2382709029","https://openalex.org/W2389147080","https://openalex.org/W2377883125","https://openalex.org/W2362479786","https://openalex.org/W2392455911","https://openalex.org/W2374248756","https://openalex.org/W2375492428","https://openalex.org/W2350419982"],"abstract_inverted_index":{"Nowadays,":[0],"several":[1,186],"researchers":[2,196],"are":[3],"endeavoring":[4],"to":[5,15,106,197,210],"uncover":[6],"the":[7,17,25,28,46,64,86,100,139,163,195,200,208,212],"influence":[8],"of":[9,22,41,66,68,97,159,165,214],"innumerable":[10],"evolving":[11],"and":[12,33,53,77,117,125,147,171,216],"innovative":[13],"capabilities":[14,55,167],"comprehend":[16],"impact":[18],"on":[19,30,57,74,89,161],"distinct":[20],"performances":[21],"enterprises":[23],"across":[24,207],"world.":[26],"Likewise,":[27],"research":[29,151],"big":[31,49],"data":[32,50],"information":[34],"technology":[35],"is":[36,129],"acquiring":[37],"an":[38],"intense":[39],"concentration":[40],"scholars.":[42],"This":[43,150],"study":[44,84,140,184],"investigates":[45],"relationships":[47],"among":[48],"analytics":[51],"(BDA)":[52],"IT-enabled":[54],"(ITE)":[56],"enterprises'":[58],"supply":[59,156,179],"chain":[60,157,180],"performance":[61,176],"(ESCP)":[62],"within":[63,204],"realm":[65],"SMEs":[67,160],"developing":[69],"nations":[70],"like":[71],"Pakistan":[72,205],"based":[73,88],"RBV":[75],"theory":[76],"practice.":[78],"Using":[79],"a":[80,133,142],"survey":[81],"method,":[82],"this":[83,183],"probed":[85],"nexus":[87,144],"348":[90],"responses":[91],"(n=438)":[92],"obtained":[93],"from":[94],"mainstream":[95],"cities":[96],"Pakistan,":[98],"including":[99],"capital":[101],"city":[102],"between":[103,145],"April":[104],"2022":[105],"June":[107],"2022.":[108],"SEM":[109],"model":[110],"along":[111,189],"with":[112,136,153,190],"supporting":[113],"methods,":[114],"i.e.,":[115],"discriminate":[116],"convergent":[118],"validation":[119],"was":[120],"carried":[121],"out":[122],"using":[123],"SPSS":[124],"SmartPLS":[126],"tools.":[127],"It":[128],"found,":[130],"BDA":[131,170,215],"has":[132],"positive":[134,143],"connection":[135],"ESCP.":[137],"Second,":[138],"revealed":[141],"ITE":[146,172,217],"ESCP,":[148],"respectively.":[149],"endows":[152],"insights":[154],"for":[155,194],"management":[158],"how":[162],"incorporation":[164],"appearing":[166],"such":[168,177],"as":[169,178],"could":[173],"optimize":[174],"business":[175],"performance.":[181],"Furthermore,":[182],"equips":[185],"interesting":[187],"implications":[188],"additional":[191],"work":[192],"potentials":[193],"assume":[198],"in":[199,218],"future":[201],"not":[202],"only":[203],"but":[206],"world":[209],"validate":[211],"notion":[213],"different":[219],"themes.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
