{"id":"https://openalex.org/W2547876158","doi":null,"title":"Creating a Semantic Differential Scale for Measuring Users' Perceptions and Attitudes toward Emerging Technologies","display_name":"Creating a Semantic Differential Scale for Measuring Users' Perceptions and Attitudes toward Emerging Technologies","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2547876158","mag":"2547876158"},"language":"en","primary_location":{"id":"mag:2547876158","doi":null,"is_oa":false,"landing_page_url":"http://proc.conisar.org/2013/pdf/2564.pdf","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},"volume":null,"type":"article","indexed_in":[],"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/A5088762650","display_name":"Taiwo Ajani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I152372855","display_name":"Ferrum College","ror":"https://ror.org/0128ckf82","country_code":"US","type":"education","lineage":["https://openalex.org/I152372855"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taiwo Ajani","raw_affiliation_strings":["Ferrum College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ferrum College","institution_ids":["https://openalex.org/I152372855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019985908","display_name":"Elizabeth Stork","orcid":"https://orcid.org/0000-0003-4832-0532","observed_orcids":["https://orcid.org/0000-0003-4832-0532"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elizabeth Stork","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4832-0532","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3945,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89974041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"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":0.7422000169754028,"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":0.7422000169754028,"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/T10467","display_name":"Psychometric Methodologies and Testing","score":0.1444000005722046,"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/T12515","display_name":"Gender and Technology in Education","score":0.021400000900030136,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-differential","display_name":"semantic differential","score":0.921999990940094},{"id":"https://openalex.org/keywords/emerging-technologies","display_name":"emerging technologies","score":0.8130000233650208},{"id":"https://openalex.org/keywords/user-attitudes","display_name":"user attitudes","score":0.9300000071525574},{"id":"https://openalex.org/keywords/technology-acceptance","display_name":"technology acceptance","score":0.5389999747276306},{"id":"https://openalex.org/keywords/global-sensor-networks","display_name":"global sensor networks","score":0.9649999737739563},{"id":"https://openalex.org/keywords/scale-development","display_name":"scale development","score":0.6919999718666077},{"id":"https://openalex.org/keywords/content-validity","display_name":"content validity","score":0.7850000262260437},{"id":"https://openalex.org/keywords/construct-validity","display_name":"construct validity","score":0.9559999704360962},{"id":"https://openalex.org/keywords/reliability-statistics","display_name":"reliability statistics","score":0.7580000162124634},{"id":"https://openalex.org/keywords/technology-adoption","display_name":"technology adoption","score":0.746999979019165},{"id":"https://openalex.org/keywords/behavioral-intention","display_name":"behavioral intention","score":0.7120000123977661},{"id":"https://openalex.org/keywords/bipolar-adjectives","display_name":"bipolar adjectives","score":0.6060000061988831}],"concepts":[{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.8271909952163696},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.726098358631134},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6729268431663513},{"id":"https://openalex.org/C43020497","wikidata":"https://www.wikidata.org/wiki/Q1662954","display_name":"Semantic differential","level":2,"score":0.6385905742645264},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.616694450378418},{"id":"https://openalex.org/C207267971","wikidata":"https://www.wikidata.org/wiki/Q120208","display_name":"Emerging technologies","level":2,"score":0.5756033658981323},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5389957427978516},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4689618647098541},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45442959666252136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44390669465065},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.43309617042541504},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4328042268753052},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4227268695831299},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3952862322330475},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25772202014923096},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.24725115299224854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16976243257522583},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07945302128791809},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.06532657146453857},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2547876158","doi":null,"is_oa":false,"landing_page_url":"http://proc.conisar.org/2013/pdf/2564.pdf","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":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W913791374","https://openalex.org/W1491644571","https://openalex.org/W1502197447","https://openalex.org/W1557992034","https://openalex.org/W1791587663","https://openalex.org/W1982759625","https://openalex.org/W2017988667","https://openalex.org/W2036389121","https://openalex.org/W2060325075","https://openalex.org/W2063829831","https://openalex.org/W2069736034","https://openalex.org/W2100379340","https://openalex.org/W2129979003","https://openalex.org/W2130427181","https://openalex.org/W2132654268","https://openalex.org/W2153230930","https://openalex.org/W2221223937","https://openalex.org/W2275937928","https://openalex.org/W2613714956"],"related_works":["https://openalex.org/W1791801924","https://openalex.org/W2061425121","https://openalex.org/W588681367","https://openalex.org/W4411057946","https://openalex.org/W2592579069","https://openalex.org/W4295109035","https://openalex.org/W2030255799","https://openalex.org/W4300713386","https://openalex.org/W4247722948","https://openalex.org/W2993458063"],"abstract_inverted_index":{"The":[0,32,83,118],"purpose":[1],"of":[2,12,25,35,61,80,103],"this":[3],"paper":[4],"is":[5,108,120],"to":[6,21,44,55,73,111,122,125],"describe":[7],"the":[8,23,57,75,81,101],"development":[9,85],"and":[10,39,71,77,91,128,138],"testing":[11],"an":[13,29],"Emerging":[14],"Technologies":[15],"Semantic":[16],"Differential":[17],"Scale":[18],"(ETSDS)":[19],"designed":[20],"measure":[22],"attitudes":[24,47,99,133],"potential":[26],"users":[27],"toward":[28,100,142],"emerging":[30,50,113,143],"technology.":[31],"strategy":[33],"consisted":[34],"identifying":[36],"initial":[37],"items":[38,62],"descriptors":[40],"that":[41,107],"may":[42],"help":[43],"understand":[45],"respondents\u2019":[46],"about":[48,134],"one":[49],"technology;":[51],"test":[52,74],"bi-polar":[53],"adjectives":[54],"construct":[56,66,78],"scale;":[58],"determine":[59],"representativeness":[60],"on":[63],"a":[64,89],"particular":[65],"domain":[67],"for":[68,96],"content":[69],"validity;":[70],"finally,":[72],"reliability":[76],"validity":[79],"instrument.":[82],"instrument":[84,119],"process":[86],"resulted":[87],"in":[88,132],"reliable":[90],"valid":[92],"parsimonious":[93],"10-item":[94],"scale":[95],"quantitatively":[97],"measuring":[98],"deployment":[102],"global":[104],"sensor":[105],"networks":[106],"easily":[109],"adaptable":[110],"other":[112],"technologies":[114],"with":[115,130],"similar":[116],"attributes.":[117],"likely":[121],"be":[123],"useful":[124],"both":[126],"academics":[127],"practitioners":[129],"interests":[131],"innovations,":[135],"technology":[136],"adoption,":[137],"users\u2019":[139],"behavioral":[140],"intention":[141],"technologies.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-11-11T00:00:00"}