{"id":"https://openalex.org/W2774710930","doi":"https://doi.org/10.1147/jrd.2017.2741820","title":"How to foster innovation: A data-driven approach to measuring economic competitiveness","display_name":"How to foster innovation: A data-driven approach to measuring economic competitiveness","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2774710930","doi":"https://doi.org/10.1147/jrd.2017.2741820","mag":"2774710930"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2017.2741820","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2741820","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-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/A5006412870","display_name":"Chris J. Kuhlman","orcid":"https://orcid.org/0000-0002-9368-2156"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Kuhlman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081874896","display_name":"Karthikeyan Natesan Ramamurthy","orcid":"https://orcid.org/0000-0002-6021-5930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. N. Ramamurthy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060534465","display_name":"Prasanna Sattigeri","orcid":"https://orcid.org/0000-0003-4435-0486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Sattigeri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055054658","display_name":"Aur\u00e9lie Lozano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. C. Lozano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049926126","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0001-9909-8607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001022750","display_name":"Chandan K. Reddy","orcid":"https://orcid.org/0000-0003-2839-3662"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Reddy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072597892","display_name":"Aleksandra Mojsilovi\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Mojsilovi\u0107","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015286159","display_name":"Kush R. Varshney","orcid":"https://orcid.org/0000-0002-7376-5536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. R. Varshney","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.9301,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98440131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"61","issue":"6","first_page":"11:1","last_page":"11:12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14143","display_name":"Economic and Technological Innovation","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14143","display_name":"Economic and Technological Innovation","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9591000080108643,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5369169116020203},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5349963903427124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4965062737464905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4498507082462311},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4444960057735443},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4181608259677887},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4142329692840576},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4083995819091797},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2185167372226715},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09627363085746765}],"concepts":[{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5369169116020203},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5349963903427124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4965062737464905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4498507082462311},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4444960057735443},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4181608259677887},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4142329692840576},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4083995819091797},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2185167372226715},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09627363085746765},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1147/jrd.2017.2741820","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2017.2741820","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2040912306","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2162833336","https://openalex.org/W2218161185","https://openalex.org/W2562162676","https://openalex.org/W2962790223","https://openalex.org/W3115371453","https://openalex.org/W3138819813","https://openalex.org/W4302461036","https://openalex.org/W6684050148","https://openalex.org/W6718991148","https://openalex.org/W6759384864"],"related_works":["https://openalex.org/W4256576576","https://openalex.org/W3090384609","https://openalex.org/W3194013178","https://openalex.org/W4249086404","https://openalex.org/W2790019364","https://openalex.org/W2486360182","https://openalex.org/W2212119398","https://openalex.org/W4288780803","https://openalex.org/W2187089732","https://openalex.org/W3163178158"],"abstract_inverted_index":{"Innovation":[0,144],"is":[1,13,136,141],"a":[2,53,61,89,99,133,193],"key":[3],"factor":[4],"driving":[5],"economic":[6],"growth":[7],"in":[8,119],"countries":[9,167,196],"worldwide.":[10],"However,":[11],"innovation":[12,42,118,153,179,190],"hard":[14],"to":[15,21,33,40,69],"define":[16],"and,":[17],"therefore,":[18],"even":[19],"harder":[20],"measure.":[22],"To":[23],"help":[24],"policy":[25],"makers":[26],"and":[27,45,158,175],"business":[28],"leaders":[29],"better":[30],"understand":[31],"how":[32],"foster":[34],"innovation,":[35],"we":[36,51,67,80,182],"need":[37],"robust":[38],"ways":[39],"quantify":[41],"at":[43],"local":[44],"global":[46,149],"scales.":[47],"In":[48],"this":[49],"work,":[50],"use":[52],"data-driven,":[54],"machine-learning":[55],"approach":[56],"for":[57,151,166,187],"measuring":[58,152],"innovation.":[59,75],"Analyzing":[60],"large":[62],"number":[63],"of":[64,74,83,117,192],"country-level":[65],"metrics,":[66],"aim":[68],"automatically":[70,199],"discover":[71],"actionable":[72],"\u201clevers\u201d":[73],"Using":[76],"unsupervised":[77],"learning":[78,156],"methods,":[79],"determine":[81],"groups":[82],"related":[84],"world":[85],"development":[86],"indicators":[87],"among":[88],"collection":[90],"compiled":[91],"by":[92,200],"the":[93,107,114,128,142,163,189,201],"World":[94,108,171],"Bank.":[95],"We":[96,161],"then":[97],"train":[98],"Group":[100,129],"Lasso":[101,130],"predictive":[102,126],"model":[103,134,150],"using":[104,154],"data":[105,174],"from":[106,123],"Economic":[109],"Forum":[110],"(WEF)":[111],"that":[112,135,168],"captures":[113],"perceived":[115],"level":[116],"150":[120],"countries.":[121],"Aside":[122],"providing":[124],"high":[125],"accuracy,":[127],"also":[131,183],"provides":[132],"easily":[137],"interpretable.":[138],"The":[139],"result":[140],"Open":[143],"Index":[145],"(OII),":[146],"an":[147],"automatic":[148],"machine":[155],"algorithms":[157],"open":[159],"data.":[160],"predict":[162],"OII":[164],"scores":[165],"only":[169],"have":[170],"Development":[172],"Indicators":[173],"no":[176],"existing":[177],"WEF":[178],"scores.":[180],"Furthermore,":[181],"present":[184],"case":[185],"studies":[186],"which":[188],"levers":[191],"few":[194],"representative":[195],"are":[197],"uncovered":[198],"proposed":[202],"model.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}