{"id":"https://openalex.org/W7207734412","doi":"https://doi.org/10.5281/zenodo.22276199","title":"Smartphone OS GenAI Continuance Intention Survey","display_name":"Smartphone OS GenAI Continuance Intention Survey","publication_year":2026,"publication_date":"2026-09-03","ids":{"openalex":"https://openalex.org/W7207734412","doi":"https://doi.org/10.5281/zenodo.22276199"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22276199","doi":"https://doi.org/10.5281/zenodo.22276199","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22276199","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22276199","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106339378","display_name":"Naufal R Pratama","orcid":"https://orcid.org/0009-0000-4319-6865","observed_orcids":["https://orcid.org/0009-0000-4319-6865"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Pratama, Naufal Rizqi","raw_affiliation_strings":["Binus University"],"raw_orcid":"https://orcid.org/0009-0000-4319-6865","affiliations":[{"raw_affiliation_string":"Binus University","institution_ids":["https://openalex.org/I166073570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5106339378"],"corresponding_institution_ids":["https://openalex.org/I166073570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.9994999766349792,"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":0.9994999766349792,"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/T12128","display_name":"AI in Service Interactions","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T14416","display_name":"Health, Technology, Consumer Behavior","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.9399999976158142},{"id":"https://openalex.org/keywords/smartphone-operating-systems","display_name":"smartphone operating systems","score":0.8500000238418579},{"id":"https://openalex.org/keywords/continuance-intention","display_name":"continuance intention","score":0.9909999966621399},{"id":"https://openalex.org/keywords/technology-acceptance","display_name":"technology acceptance","score":0.5640000104904175},{"id":"https://openalex.org/keywords/perceived-usefulness","display_name":"perceived usefulness","score":0.9610000252723694},{"id":"https://openalex.org/keywords/perceived-ease-of-use","display_name":"perceived ease of use","score":1.0},{"id":"https://openalex.org/keywords/trust-in-ai","display_name":"trust in AI","score":0.6959999799728394},{"id":"https://openalex.org/keywords/user-satisfaction","display_name":"user satisfaction","score":0.5920000076293945},{"id":"https://openalex.org/keywords/human-ai-interaction","display_name":"human-AI interaction","score":0.781000018119812},{"id":"https://openalex.org/keywords/android","display_name":"Android","score":0.5370000004768372},{"id":"https://openalex.org/keywords/ios","display_name":"iOS","score":0.9850000143051147},{"id":"https://openalex.org/keywords/indonesian-users","display_name":"Indonesian users","score":0.4909999966621399}],"concepts":[{"id":"https://openalex.org/C2780081655","wikidata":"https://www.wikidata.org/wiki/Q763365","display_name":"Continuance","level":2,"score":0.8323000073432922},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.7666000127792358},{"id":"https://openalex.org/C105776082","wikidata":"https://www.wikidata.org/wiki/Q617473","display_name":"Likert scale","level":2,"score":0.6710000038146973},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6445000171661377},{"id":"https://openalex.org/C2776640315","wikidata":"https://www.wikidata.org/wiki/Q7315941","display_name":"Respondent","level":2,"score":0.6419000029563904},{"id":"https://openalex.org/C2776185967","wikidata":"https://www.wikidata.org/wiki/Q112945","display_name":"Technology acceptance model","level":3,"score":0.633899986743927},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.6144999861717224},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.46000000834465027},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4375},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.40720000863075256},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.40540000796318054},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2976999878883362},{"id":"https://openalex.org/C41661277","wikidata":"https://www.wikidata.org/wiki/Q3815058","display_name":"External variable","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C65067816","wikidata":"https://www.wikidata.org/wiki/Q2295139","display_name":"Computer-assisted web interviewing","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C73945780","wikidata":"https://www.wikidata.org/wiki/Q814232","display_name":"Survey methodology","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22276199","doi":"https://doi.org/10.5281/zenodo.22276199","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22276199","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},{"id":"doi:10.5281/zenodo.22276200","doi":"https://doi.org/10.5281/zenodo.22276200","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22276200","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22276199","doi":"https://doi.org/10.5281/zenodo.22276199","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22276199","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413823663","https://openalex.org/W7214112336","https://openalex.org/W4414010239","https://openalex.org/W7160525893","https://openalex.org/W7221461945","https://openalex.org/W6925103028","https://openalex.org/W7214098127","https://openalex.org/W7157881762","https://openalex.org/W7204734209","https://openalex.org/W6958681523"],"abstract_inverted_index":{"This":[0,132],"dataset":[1,33],"comprises":[2],"empirical":[3],"survey":[4],"responses":[5],"collected":[6],"from":[7,43],"315":[8],"smartphone":[9],"users":[10],"in":[11,156],"Indonesia":[12],"to":[13,98],"examine":[14],"the":[15,21,136],"behavioral":[16],"and":[17,38,47,61,68,72,85,128,148],"psychological":[18],"determinants":[19],"influencing":[20],"continuous":[22],"use":[23],"of":[24,108],"Generative":[25],"AI":[26],"(GenAI)":[27],"features":[28],"on":[29],"mobile":[30,64],"devices.":[31],"The":[32,51,88],"captures":[34],"both":[35],"respondent":[36],"profiles":[37],"multi-item":[39],"measurement":[40],"scales":[41],"adapted":[42],"extended":[44],"technology":[45],"acceptance":[46],"post-adoption":[48],"continuance":[49],"frameworks.":[50],"profile":[52],"variables":[53],"encompass":[54],"core":[55],"demographic":[56],"attributes,":[57],"such":[58],"as":[59],"age":[60],"gender,":[62],"alongside":[63],"platform":[65],"preferences":[66],"(Android":[67],"iOS),":[69],"usage":[70],"frequency,":[71],"specific":[73],"GenAI":[74],"application":[75],"modalities":[76],"utilized":[77],"by":[78],"respondents,":[79],"including":[80],"text":[81],"generation,":[82],"summarization,":[83],"proofreading,":[84],"image":[86],"creation.":[87],"structural":[89,140],"evaluation":[90],"items":[91],"employ":[92],"a":[93],"standard":[94],"5-point":[95],"Likert":[96],"scale":[97],"operationalize":[99],"key":[100],"theoretical":[101],"constructs:":[102],"Perceived":[103,106,125],"Usefulness":[104],"(PU1\u2013PU4),":[105],"Ease":[107],"Use":[109],"(PEOU1\u2013PEOU4),":[110],"Confirmation":[111],"(CONF1\u2013CONF3),":[112],"Satisfaction":[113],"(SAT1\u2013SAT4),":[114],"Attitude":[115,119],"towards":[116,120],"Success":[117],"(ATS1\u2013ATS3),":[118],"Process":[121],"(ATP1\u2013ATP3),":[122],"Trust":[123],"(TR1\u2013TR3),":[124],"Intelligence":[126],"(PI1\u2013PI4),":[127],"Continuance":[129],"Intention":[130],"(CI1\u2013CI3).":[131],"comprehensive":[133],"structure":[134],"makes":[135],"data":[137],"suitable":[138],"for":[139],"equation":[141],"modeling":[142],"(SEM),":[143],"partial":[144],"least":[145],"squares":[146],"(PLS-SEM),":[147],"multivariate":[149],"statistical":[150],"analysis":[151],"exploring":[152],"human-AI":[153],"interaction":[154],"dynamics":[155],"consumer":[157],"technology.":[158]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-04T00:00:00"}
