{"id":"https://openalex.org/W4288692514","doi":"https://doi.org/10.1080/00207543.2022.2102447","title":"Technological forecasting using mixed methods approach","display_name":"Technological forecasting using mixed methods approach","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288692514","doi":"https://doi.org/10.1080/00207543.2022.2102447"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2022.2102447","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2102447","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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/A5061475521","display_name":"Dmitry Kucharavy","orcid":null},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I38631343","display_name":"EM Strasbourg Business School","ror":"https://ror.org/04q0nd296","country_code":"FR","type":"education","lineage":["https://openalex.org/I38631343"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Dmitry Kucharavy","raw_affiliation_strings":["EM Strasbourg Business School, Universit\u00e9 de Strasbourg, Strasbourg Cedex, France"],"affiliations":[{"raw_affiliation_string":"EM Strasbourg Business School, Universit\u00e9 de Strasbourg, Strasbourg Cedex, France","institution_ids":["https://openalex.org/I38631343","https://openalex.org/I68947357"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078917862","display_name":"David Damand","orcid":"https://orcid.org/0000-0002-6187-2115"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I38631343","display_name":"EM Strasbourg Business School","ror":"https://ror.org/04q0nd296","country_code":"FR","type":"education","lineage":["https://openalex.org/I38631343"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Damand","raw_affiliation_strings":["EM Strasbourg Business School, Universit\u00e9 de Strasbourg, Strasbourg Cedex, France"],"affiliations":[{"raw_affiliation_string":"EM Strasbourg Business School, Universit\u00e9 de Strasbourg, Strasbourg Cedex, France","institution_ids":["https://openalex.org/I38631343","https://openalex.org/I68947357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048634567","display_name":"Marc Barth","orcid":"https://orcid.org/0000-0001-6752-4384"},"institutions":[{"id":"https://openalex.org/I2801509770","display_name":"Institut National des Sciences Appliqu\u00e9es de Strasbourg","ror":"https://ror.org/001nta019","country_code":"FR","type":"education","lineage":["https://openalex.org/I2801509770"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Barth","raw_affiliation_strings":["INSA Strasbourg, Strasbourg Cedex, France"],"affiliations":[{"raw_affiliation_string":"INSA Strasbourg, Strasbourg Cedex, France","institution_ids":["https://openalex.org/I2801509770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061475521"],"corresponding_institution_ids":["https://openalex.org/I38631343","https://openalex.org/I68947357"],"apc_list":null,"apc_paid":null,"fwci":0.9819,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77489337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"61","issue":"16","first_page":"5411","last_page":"5435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9800999760627747,"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"}},"topics":[{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9800999760627747,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9660999774932861,"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/T14306","display_name":"Technology Assessment and Management","score":0.9138000011444092,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5861235857009888},{"id":"https://openalex.org/keywords/technology-forecasting","display_name":"Technology forecasting","score":0.5466015338897705},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4718494415283203},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.459963858127594},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3876131474971771},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3779885768890381},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3775530159473419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32901811599731445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1670685112476349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861235857009888},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.5466015338897705},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4718494415283203},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.459963858127594},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3876131474971771},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3779885768890381},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3775530159473419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32901811599731445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1670685112476349},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2022.2102447","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2102447","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:16:p:5411-5435","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2022.2102447","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322147","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W158096471","https://openalex.org/W232776375","https://openalex.org/W261512965","https://openalex.org/W341531820","https://openalex.org/W783341876","https://openalex.org/W1519593622","https://openalex.org/W1546831798","https://openalex.org/W1578248918","https://openalex.org/W1578998574","https://openalex.org/W1992834715","https://openalex.org/W1992840510","https://openalex.org/W1998742855","https://openalex.org/W2003270794","https://openalex.org/W2009038725","https://openalex.org/W2009795305","https://openalex.org/W2028775662","https://openalex.org/W2031032240","https://openalex.org/W2042824337","https://openalex.org/W2048665112","https://openalex.org/W2053095534","https://openalex.org/W2055195336","https://openalex.org/W2061411662","https://openalex.org/W2065739063","https://openalex.org/W2070457089","https://openalex.org/W2078984974","https://openalex.org/W2079115650","https://openalex.org/W2095391925","https://openalex.org/W2098997221","https://openalex.org/W2111312226","https://openalex.org/W2122764606","https://openalex.org/W2163277593","https://openalex.org/W2170323119","https://openalex.org/W2235992918","https://openalex.org/W2323575786","https://openalex.org/W2327160079","https://openalex.org/W2345458209","https://openalex.org/W2415384034","https://openalex.org/W2493598239","https://openalex.org/W2497761417","https://openalex.org/W2617345341","https://openalex.org/W2784198807","https://openalex.org/W2811507150","https://openalex.org/W2898591354","https://openalex.org/W2945680505","https://openalex.org/W2987140585","https://openalex.org/W2988934653","https://openalex.org/W3006779141","https://openalex.org/W3014560459","https://openalex.org/W3109416398","https://openalex.org/W4206146625","https://openalex.org/W4206189171","https://openalex.org/W4206218874","https://openalex.org/W4210961579","https://openalex.org/W4233727053","https://openalex.org/W4239091000","https://openalex.org/W4243019984","https://openalex.org/W4248028015","https://openalex.org/W4249244781","https://openalex.org/W4252176988"],"related_works":["https://openalex.org/W3098582471","https://openalex.org/W4247880953","https://openalex.org/W1996408511","https://openalex.org/W2134927798","https://openalex.org/W2154972200","https://openalex.org/W2994766872","https://openalex.org/W2622176081","https://openalex.org/W232195372","https://openalex.org/W2139880336","https://openalex.org/W1971185742"],"abstract_inverted_index":{"How":[0],"can":[1],"strategic":[2,14],"decision-making":[3],"be":[4],"reinforced":[5],"through":[6],"reliable":[7],"forecasts":[8,15],"of":[9,13,58,121,136],"technological":[10],"change?":[11],"Observations":[12],"have":[16],"shown":[17],"that":[18,89],"they":[19],"mainly":[20],"rely":[21],"upon":[22],"expert":[23,52],"opinions.":[24],"To":[25,63],"turn":[26],"these":[27],"opinions":[28],"into":[29],"consistent":[30],"knowledge":[31,53],"about":[32],"the":[33,65,73,116,130],"future,":[34],"we":[35],"need":[36],"to":[37,110,129,138],"manage":[38],"cognitive":[39,59,68],"biases":[40,69],"using":[41],"provable":[42],"models.":[43],"Observed":[44],"forecasting":[45,132],"methods":[46,81],"provide":[47],"useful":[48],"tools":[49],"for":[50],"exploiting":[51],"and":[54,94,112,115,119,134],"data,":[55],"but":[56],"management":[57],"bias":[60],"remains":[61],"underdeveloped.":[62],"improve":[64],"situation":[66],"with":[67],"in":[70],"technology":[71,131,141],"forecasting,":[72],"Researching":[74],"Future":[75],"method":[76,88],"(RFm)":[77],"offers":[78],"a":[79,87,91,95],"mixed":[80],"approach.":[82],"This":[83],"article":[84,127],"introduces":[85],"RFm,":[86,114],"combines":[90],"problem-based":[92],"approach":[93],"logistic":[96],"function,":[97],"unified":[98],"by":[99],"an":[100],"applied":[101],"resources":[102],"paradigm.":[103],"A":[104],"practical":[105],"case":[106],"study":[107],"is":[108,135],"described":[109],"illustrate":[111],"validate":[113],"results,":[117],"limitations,":[118],"perspectives":[120],"RFm":[122],"are":[123],"then":[124],"examined.":[125],"The":[126],"contributes":[128],"methodology":[133],"interest":[137],"copper":[139],"mining":[140],"R&D":[142],"specialists,":[143],"among":[144],"others.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
