{"id":"https://openalex.org/W2545981262","doi":"https://doi.org/10.1080/08874417.2016.1232981","title":"Distinguishing between Privacy and Security Concerns: An Empirical Examination and Scale Validation","display_name":"Distinguishing between Privacy and Security Concerns: An Empirical Examination and Scale Validation","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2545981262","doi":"https://doi.org/10.1080/08874417.2016.1232981","mag":"2545981262"},"language":"en","primary_location":{"id":"doi:10.1080/08874417.2016.1232981","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08874417.2016.1232981","pdf_url":null,"source":{"id":"https://openalex.org/S83133229","display_name":"Journal of Computer Information Systems","issn_l":"0887-4417","issn":["0887-4417","2380-2057"],"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":"Journal of Computer Information Systems","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/A5067158200","display_name":"Gaurav Bansal","orcid":"https://orcid.org/0000-0002-0775-5225"},"institutions":[{"id":"https://openalex.org/I129510320","display_name":"University of Wisconsin\u2013Green Bay","ror":"https://ror.org/05hbexn54","country_code":"US","type":"education","lineage":["https://openalex.org/I129510320"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gaurav Bansal","raw_affiliation_strings":["University of Wisconsin\u2013Green Bay, Green Bay, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin\u2013Green Bay, Green Bay, WI, USA","institution_ids":["https://openalex.org/I129510320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067158200"],"corresponding_institution_ids":["https://openalex.org/I129510320"],"apc_list":null,"apc_paid":null,"fwci":5.0254,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95396911,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"57","issue":"4","first_page":"330","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10734","display_name":"Information and Cyber Security","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nomological-network","display_name":"Nomological network","score":0.8380534648895264},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7545624375343323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5771265029907227},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5221163034439087},{"id":"https://openalex.org/keywords/information-security","display_name":"Information security","score":0.482353150844574},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4660193920135498},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.4577544927597046},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4324844479560852},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13700875639915466},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.13469678163528442}],"concepts":[{"id":"https://openalex.org/C193525677","wikidata":"https://www.wikidata.org/wiki/Q7048651","display_name":"Nomological network","level":3,"score":0.8380534648895264},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7545624375343323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5771265029907227},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5221163034439087},{"id":"https://openalex.org/C527648132","wikidata":"https://www.wikidata.org/wiki/Q189900","display_name":"Information security","level":2,"score":0.482353150844574},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4660193920135498},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.4577544927597046},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4324844479560852},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13700875639915466},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.13469678163528442},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/08874417.2016.1232981","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08874417.2016.1232981","pdf_url":null,"source":{"id":"https://openalex.org/S83133229","display_name":"Journal of Computer Information Systems","issn_l":"0887-4417","issn":["0887-4417","2380-2057"],"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":"Journal of Computer Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W54510553","https://openalex.org/W73272602","https://openalex.org/W101113712","https://openalex.org/W137483831","https://openalex.org/W324947256","https://openalex.org/W599737683","https://openalex.org/W1484252823","https://openalex.org/W1499604882","https://openalex.org/W1537187979","https://openalex.org/W1545190392","https://openalex.org/W1574235309","https://openalex.org/W1595575146","https://openalex.org/W1603962791","https://openalex.org/W1621204387","https://openalex.org/W1815596065","https://openalex.org/W1855713248","https://openalex.org/W1870146437","https://openalex.org/W1971892204","https://openalex.org/W1979616205","https://openalex.org/W1987358418","https://openalex.org/W1997557230","https://openalex.org/W2002390923","https://openalex.org/W2013313241","https://openalex.org/W2020625361","https://openalex.org/W2023667477","https://openalex.org/W2039459358","https://openalex.org/W2040931829","https://openalex.org/W2042962409","https://openalex.org/W2057364222","https://openalex.org/W2057892153","https://openalex.org/W2066004246","https://openalex.org/W2069344336","https://openalex.org/W2073071698","https://openalex.org/W2073242082","https://openalex.org/W2074738896","https://openalex.org/W2080575891","https://openalex.org/W2083021308","https://openalex.org/W2095421851","https://openalex.org/W2096178490","https://openalex.org/W2125326971","https://openalex.org/W2127215730","https://openalex.org/W2132747867","https://openalex.org/W2136815068","https://openalex.org/W2155732497","https://openalex.org/W2158522377","https://openalex.org/W2163241745","https://openalex.org/W2181700289","https://openalex.org/W2562673104","https://openalex.org/W3122503705","https://openalex.org/W4249128071","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1543149738","https://openalex.org/W2957507062","https://openalex.org/W2077965329","https://openalex.org/W2019010358","https://openalex.org/W4239903230","https://openalex.org/W1546590717","https://openalex.org/W2383950765","https://openalex.org/W2381438026","https://openalex.org/W2126922396","https://openalex.org/W4231726099"],"abstract_inverted_index":{"Even":[0],"though":[1],"privacy":[2],"concerns":[3,7],"(PC)":[4],"and":[5,30,64,77,109,128],"security":[6],"(SC)":[8],"are":[9,19],"acknowledged":[10],"as":[11,95,97,119],"separate":[12],"constructs,":[13],"many":[14],"studies":[15],"argue":[16,45,131],"that":[17,46,113,132,139],"they":[18],"related":[20],"or,":[21],"even":[22],"worse,":[23],"confused.":[24],"Building":[25],"upon":[26],"the":[27,47,54,59,83,98,114,136],"non-overlapping":[28],"SC":[29],"PC":[31,55],"dimensions,":[32],"we":[33],"propose":[34],"an":[35],"Internet":[36],"Users":[37],"Information":[38],"Transmission":[39],"Security":[40],"Concern":[41],"(IUITSC)":[42],"scale.":[43],"We":[44,130],"scale":[48,56],"when":[49],"used":[50],"in":[51,71],"conjunction":[52],"with":[53],"would":[57],"cover":[58],"entire":[60],"gamut":[61],"of":[62,75,124],"SCs":[63],"PCs":[65],"(SC\u2013PC).":[66],"The":[67,79,102],"construct":[68,122],"is":[69,135],"tested":[70],"a":[72,120,144],"nomological":[73,110],"network":[74],"personality":[76],"trust.":[78],"article":[80],"first":[81],"develops":[82],"theoretical":[84],"foundation":[85],"for":[86],"multiple":[87],"factor":[88,93,100],"structures":[89],"including":[90],"various":[91],"first-order":[92],"models":[94],"well":[96],"second-order":[99,121],"model.":[101],"results,":[103],"based":[104],"on":[105],"extensive":[106],"statistical":[107],"tests":[108],"examination,":[111],"suggest":[112],"IUITSC":[115,147],"may":[116],"be":[117],"represented":[118],"comprising":[123],"authentication,":[125],"confidentiality,":[126],"integrity,":[127],"non-repudiation.":[129],"information":[133],"assurance":[134],"common":[137],"theme":[138],"ties":[140],"these":[141],"constructs":[142],"into":[143],"higher":[145],"order":[146],"construct.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}