{"id":"https://openalex.org/W4404913643","doi":"https://doi.org/10.31219/osf.io/jv8u5","title":"Applying segmentation to inform demand reduction interventions for pangolins in Guangdong Province, China","display_name":"Applying segmentation to inform demand reduction interventions for pangolins in Guangdong Province, China","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404913643","doi":"https://doi.org/10.31219/osf.io/jv8u5"},"language":"en","primary_location":{"id":"doi:10.31219/osf.io/jv8u5","doi":"https://doi.org/10.31219/osf.io/jv8u5","is_oa":true,"landing_page_url":"https://doi.org/10.31219/osf.io/jv8u5","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.31219/osf.io/jv8u5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020595619","display_name":"Elena C. Rubino","orcid":"https://orcid.org/0000-0001-8037-8385","observed_orcids":["https://orcid.org/0000-0001-8037-8385"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elena Rubino","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8037-8385","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028358347","display_name":"Daniel W. S. Challender","orcid":"https://orcid.org/0000-0002-0606-1715","observed_orcids":["https://orcid.org/0000-0002-0606-1715"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Challender","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0606-1715","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035774109","display_name":"Daniel Bergin","orcid":"https://orcid.org/0000-0002-5319-6727","observed_orcids":["https://orcid.org/0000-0002-5319-6727"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Bergin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106627790","display_name":"Shu Chen","orcid":"https://orcid.org/0009-0009-4010-6321","observed_orcids":["https://orcid.org/0009-0009-4010-6321"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001856983","display_name":"Helen M. K. O\u2019Neill","orcid":"https://orcid.org/0000-0002-9458-4494","observed_orcids":["https://orcid.org/0000-0002-9458-4494"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Helen M.K. O\u2019Neill","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613594","display_name":"Yifu Wang","orcid":"https://orcid.org/0000-0001-5937-2261","observed_orcids":["https://orcid.org/0000-0001-5937-2261"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifu Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066148496","display_name":"Carly Waterman","orcid":"https://orcid.org/0000-0002-5999-9950","observed_orcids":["https://orcid.org/0000-0002-5999-9950"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carly Waterman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024806422","display_name":"Jasmin Willis","orcid":"https://orcid.org/0000-0002-0597-0503","observed_orcids":["https://orcid.org/0000-0002-0597-0503"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jasmin Willis","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0597-0503","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076635361","display_name":"Diogo Ver\u00edssimo","orcid":"https://orcid.org/0000-0002-3519-6782","observed_orcids":["https://orcid.org/0000-0002-3519-6782"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Diogo Ver\u00edssimo","raw_affiliation_strings":["University of Oxford"],"raw_orcid":"https://orcid.org/0000-0002-3519-6782","affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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/T12965","display_name":"Wildlife Conservation and Criminology Analyses","score":0.8446999788284302,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12965","display_name":"Wildlife Conservation and Criminology Analyses","score":0.8446999788284302,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T13435","display_name":"Animal and Plant Science Education","score":0.05000000074505806,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pangolins","display_name":"pangolins","score":0.9739999771118164},{"id":"https://openalex.org/keywords/pangolin-scales","display_name":"pangolin scales","score":0.7559999823570251},{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.8040000200271606},{"id":"https://openalex.org/keywords/consumer-attitudes","display_name":"consumer attitudes","score":0.5490000247955322},{"id":"https://openalex.org/keywords/purchase-intention","display_name":"purchase intention","score":0.6959999799728394},{"id":"https://openalex.org/keywords/theory-of-planned-behavior","display_name":"theory of planned behavior","score":0.7950000166893005},{"id":"https://openalex.org/keywords/conservation-messaging","display_name":"conservation messaging","score":0.5289999842643738},{"id":"https://openalex.org/keywords/guangdong-province","display_name":"Guangdong","score":0.6629999876022339},{"id":"https://openalex.org/keywords/wildlife-trade","display_name":"wildlife trade","score":0.5019999742507935}],"concepts":[{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.778264045715332},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.7250375747680664},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5978126525878906},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4288254380226135},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4276425242424011},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.39326873421669006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3165002465248108},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23195624351501465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1576274335384369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08425155282020569},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.07769238948822021},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.31219/osf.io/jv8u5","doi":"https://doi.org/10.31219/osf.io/jv8u5","is_oa":true,"landing_page_url":"https://doi.org/10.31219/osf.io/jv8u5","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:share.osf.io:2807e192-ad05-48d9-9813-b11d1b79f421","doi":null,"is_oa":true,"landing_page_url":"https://osf.io/jv8u5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.31219/osf.io/jv8u5","doi":"https://doi.org/10.31219/osf.io/jv8u5","is_oa":true,"landing_page_url":"https://doi.org/10.31219/osf.io/jv8u5","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3149937352","https://openalex.org/W3110763469","https://openalex.org/W2990283021","https://openalex.org/W2804052531","https://openalex.org/W6906413204","https://openalex.org/W4289877161","https://openalex.org/W6925542942","https://openalex.org/W4411243106","https://openalex.org/W4362577198","https://openalex.org/W2956146739"],"abstract_inverted_index":{"Reducing":[0],"demand":[1,22,192],"for":[2],"wildlife":[3],"products":[4,57],"from":[5,19],"threatened":[6],"species":[7],"requires":[8],"an":[9,97],"in-depth":[10],"understanding":[11],"of":[12,30,44,53,55,65,106,115,142,148],"consumers.":[13],"Pangolins":[14],"(Manidae":[15],"spp.)":[16],"may":[17],"benefit":[18],"reduced":[20],"consumer":[21],"in":[23,35,58,157],"Asia,":[24],"yet":[25],"there":[26],"is":[27,47],"a":[28,134],"dearth":[29],"information":[31],"about":[32],"pangolin":[33,56,66,79,85,107,116,143,184],"consumers":[34,64,145],"China,":[36],"arguably":[37],"the":[38,51,104,113,129,189],"most":[39],"important":[40],"market.":[41],"The":[42],"aim":[43],"this":[45],"research":[46,100],"to":[48,83,138,178,183],"(1)":[49],"estimate":[50],"prevalence":[52,105,114],"consumption":[54,159],"Guangdong":[59,93],"Province,":[60],"China":[61],"(2)":[62],"segment":[63],"scales":[67],"based":[68],"on":[69],"psychographic":[70],"information,":[71],"and":[72,112,118,124,161],"(3)":[73],"explore":[74],"how":[75],"messaging":[76,182],"can":[77,175],"affect":[78],"scale":[80,108,144],"consumers\u2019":[81],"intention":[82],"purchase":[84],"products.":[86],"To":[87],"achieve":[88],"these":[89],"aims,":[90],"we":[91,153],"surveyed":[92],"Province":[94],"residents":[95],"using":[96,146],"online":[98],"market":[99],"panel.":[101],"We":[102,132],"estimated":[103],"use":[109,120],"was":[110],"34.8%,":[111],"meat":[117],"wine":[119],"were":[121],"38.9%":[122],"(CI:36.2\u201341.6%)":[123],"34.2%":[125],"(CI:32.3\u201336.2%),":[126],"respectively,":[127],"per":[128],"nominative":[130],"technique.":[131],"used":[133],"latent":[135],"profile":[136],"analysis":[137],"develop":[139],"four":[140],"segments":[141],"theory":[147],"planned":[149],"behaviour":[150],"variables,":[151],"where":[152],"found":[154],"key":[155],"differences":[156,169],"attitudes,":[158],"motivation,":[160],"communication":[162],"preferences":[163],"across":[164,170],"segments,":[165],"as":[166,168],"well":[167],"product":[171,185],"types.":[172],"These":[173],"findings":[174],"be":[176,196],"employed":[177],"better":[179],"target":[180],"strategic":[181],"consumers,":[186],"thus":[187],"increasing":[188],"likelihood":[190],"that":[191],"reduction":[193],"interventions":[194],"will":[195],"effective.":[197]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2024-12-03T00:00:00"}