{"id":"https://openalex.org/W3084062860","doi":null,"title":"How does the environmental context moderate machine learning adoption","display_name":"How does the environmental context moderate machine learning adoption","publication_year":2020,"publication_date":"2020-07-17","ids":{"openalex":"https://openalex.org/W3084062860","mag":"3084062860"},"language":"en","primary_location":{"id":"pmh:oai:run.unl.pt:10362/103799","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/103799","pdf_url":"https://run.unl.pt/bitstreams/2048a5ac-76d8-429a-8d45-8ba75827aec2/download","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://run.unl.pt/bitstreams/2048a5ac-76d8-429a-8d45-8ba75827aec2/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071619458","display_name":"Pedro Miguel Teixeira Filipe","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pedro Miguel Teixeira Filipe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5071619458"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.7836999893188477,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.7836999893188477,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.07010000199079514,"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":0.03669999912381172,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning-adoption","display_name":"machine learning adoption","score":1.0},{"id":"https://openalex.org/keywords/technology-organization-environment-framework","display_name":"technology-organization-environment framework","score":0.8360000252723694},{"id":"https://openalex.org/keywords/institutional-theory","display_name":"institutional theory","score":0.9940000176429749},{"id":"https://openalex.org/keywords/environmental-context","display_name":"environmental context","score":0.7300000190734863},{"id":"https://openalex.org/keywords/moderating-effect","display_name":"moderating effect","score":0.7089999914169312},{"id":"https://openalex.org/keywords/determinants-of-technology-adoption","display_name":"technology adoption factors","score":0.6309999823570251},{"id":"https://openalex.org/keywords/organizational-performance","display_name":"organizational performance","score":0.5699999928474426},{"id":"https://openalex.org/keywords/enterprises","display_name":"business entities","score":0.42899999022483826}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5596117973327637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41908854246139526},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.36347588896751404},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34333550930023193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3354101777076721},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18779581785202026},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:run.unl.pt:10362/103799","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/103799","pdf_url":"https://run.unl.pt/bitstreams/2048a5ac-76d8-429a-8d45-8ba75827aec2/download","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},{"id":"mag:3084062860","doi":null,"is_oa":false,"landing_page_url":"https://run.unl.pt/handle/10362/103799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:run.unl.pt:10362/103799","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10362/103799","pdf_url":"https://run.unl.pt/bitstreams/2048a5ac-76d8-429a-8d45-8ba75827aec2/download","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3084062860.pdf","grobid_xml":"https://content.openalex.org/works/W3084062860.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W36867235","https://openalex.org/W186529931","https://openalex.org/W1481773499","https://openalex.org/W1512968914","https://openalex.org/W1516798127","https://openalex.org/W1526941025","https://openalex.org/W1567491469","https://openalex.org/W1606368101","https://openalex.org/W1608836379","https://openalex.org/W1772749354","https://openalex.org/W1901616594","https://openalex.org/W1906788662","https://openalex.org/W1919895648","https://openalex.org/W1966146666","https://openalex.org/W1973160246","https://openalex.org/W1983586681","https://openalex.org/W1986772231","https://openalex.org/W1988050849","https://openalex.org/W1989085055","https://openalex.org/W1999345802","https://openalex.org/W2009434603","https://openalex.org/W2031478406","https://openalex.org/W2037680823","https://openalex.org/W2037916716","https://openalex.org/W2047775292","https://openalex.org/W2050091520","https://openalex.org/W2050909151","https://openalex.org/W2056051337","https://openalex.org/W2057541993","https://openalex.org/W2057643324","https://openalex.org/W2071159026","https://openalex.org/W2080782796","https://openalex.org/W2089135290","https://openalex.org/W2090861628","https://openalex.org/W2097700858","https://openalex.org/W2099552414","https://openalex.org/W2100577171","https://openalex.org/W2105846236","https://openalex.org/W2106140772","https://openalex.org/W2111531428","https://openalex.org/W2112031167","https://openalex.org/W2115981184","https://openalex.org/W2117536105","https://openalex.org/W2118297449","https://openalex.org/W2119840165","https://openalex.org/W2121138816","https://openalex.org/W2126633685","https://openalex.org/W2129332601","https://openalex.org/W2130892515","https://openalex.org/W2132077020","https://openalex.org/W2139797712","https://openalex.org/W2144424167","https://openalex.org/W2151000531","https://openalex.org/W2163915185","https://openalex.org/W2175428363","https://openalex.org/W2313391042","https://openalex.org/W2337082154","https://openalex.org/W2345563409","https://openalex.org/W2395423523","https://openalex.org/W2431517476","https://openalex.org/W2473734092","https://openalex.org/W2548659812","https://openalex.org/W2568429893","https://openalex.org/W2576683119","https://openalex.org/W2576975314","https://openalex.org/W2592676340","https://openalex.org/W2621137825","https://openalex.org/W2736445066","https://openalex.org/W2780441722","https://openalex.org/W2893591486","https://openalex.org/W2910866042","https://openalex.org/W2925024237","https://openalex.org/W2925610025","https://openalex.org/W2941089296","https://openalex.org/W2947816156","https://openalex.org/W2963390885","https://openalex.org/W2996441822","https://openalex.org/W3122877168","https://openalex.org/W3123282572","https://openalex.org/W3143898318","https://openalex.org/W3198350258","https://openalex.org/W7214204920"],"related_works":["https://openalex.org/W7036855516","https://openalex.org/W6999067016","https://openalex.org/W7026961607","https://openalex.org/W7112570056","https://openalex.org/W7019924491","https://openalex.org/W7111928083","https://openalex.org/W3124481864","https://openalex.org/W6998461999","https://openalex.org/W7006533277","https://openalex.org/W6998502120"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"has":[3],"become":[4],"one":[5],"of":[6,48,52,72,86,102],"the":[7,11,28,36,41,49,77,84,87,103],"hottest":[8],"trends":[9],"in":[10,57,69],"IT":[12],"field.":[13],"Knowing":[14],"that":[15,27],"ML":[16,53,90],"can":[17],"positively":[18],"impact":[19,85],"an":[20,45],"organization\u2019s":[21],"performance,":[22],"it":[23],"is,":[24],"therefore,":[25],"crucial":[26],"drivers":[29],"upon":[30],"its":[31],"adoption":[32,54],"are":[33],"studied.":[34],"Using":[35],"technology-organization-environment":[37],"(TOE)":[38],"framework":[39],"and":[40],"institutional":[42],"(INT)":[43],"theory,":[44],"empirical":[46],"measurement":[47],"key":[50],"determinants":[51],"was":[55,67],"made":[56],"a":[58,70,95,100],"single":[59],"framework.":[60],"A":[61],"structural":[62],"equation":[63],"modeling":[64],"(SEM)":[65],"technique":[66],"used":[68],"dataset":[71],"319":[73],"firms":[74],"to":[75],"test":[76],"suggested":[78],"hypotheses.":[79],"The":[80],"research":[81],"empirically":[82],"sustains":[83],"environment":[88],"on":[89],"adoption,":[91],"not":[92],"only":[93],"as":[94,99],"predictor":[96],"but":[97],"also":[98],"moderator":[101],"technological":[104],"context.":[105]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2020-09-14T00:00:00"}
