{"id":"https://openalex.org/W1607399921","doi":"https://doi.org/10.1080/07421222.1991.11517911","title":"Testing a Causal Model of End-User Application Effectiveness","display_name":"Testing a Causal Model of End-User Application Effectiveness","publication_year":1991,"publication_date":"1991-06-01","ids":{"openalex":"https://openalex.org/W1607399921","doi":"https://doi.org/10.1080/07421222.1991.11517911","mag":"1607399921"},"language":"en","primary_location":{"id":"doi:10.1080/07421222.1991.11517911","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07421222.1991.11517911","pdf_url":null,"source":{"id":"https://openalex.org/S9954729","display_name":"Journal of Management Information Systems","issn_l":"0742-1222","issn":["0742-1222","1557-928X"],"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 Management 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/A5090747605","display_name":"Donald L. Amoroso","orcid":"https://orcid.org/0000-0002-1411-2965"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Donald L. Amoroso","raw_affiliation_strings":["View further author information"],"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029482175","display_name":"Paul H. Cheney","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul H. Cheney","raw_affiliation_strings":["View further author information"],"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090747605"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1766,"has_fulltext":false,"cited_by_count":159,"citation_normalized_percentile":{"value":0.95406239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":"1","first_page":"63","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9951000213623047,"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/T11938","display_name":"ERP Systems Implementation and Impact","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.6122716069221497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614930987358093},{"id":"https://openalex.org/keywords/path-analysis","display_name":"Path analysis (statistics)","score":0.5270780920982361},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5058186054229736},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4974417984485626},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4953714609146118},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.48541077971458435},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.4834774136543274},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.475117027759552},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4554150104522705},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.45521706342697144},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45089295506477356},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.4508393704891205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21272209286689758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13574770092964172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13334202766418457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11914938688278198}],"concepts":[{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.6122716069221497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614930987358093},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.5270780920982361},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5058186054229736},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4974417984485626},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4953714609146118},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.48541077971458435},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4834774136543274},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.475117027759552},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4554150104522705},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.45521706342697144},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45089295506477356},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.4508393704891205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21272209286689758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13574770092964172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13334202766418457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11914938688278198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/07421222.1991.11517911","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07421222.1991.11517911","pdf_url":null,"source":{"id":"https://openalex.org/S9954729","display_name":"Journal of Management Information Systems","issn_l":"0742-1222","issn":["0742-1222","1557-928X"],"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 Management Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W109911914","https://openalex.org/W162526067","https://openalex.org/W167082779","https://openalex.org/W560549833","https://openalex.org/W1484391273","https://openalex.org/W1489478161","https://openalex.org/W1496821575","https://openalex.org/W1507912623","https://openalex.org/W1510153396","https://openalex.org/W1520103841","https://openalex.org/W1536181470","https://openalex.org/W1554953436","https://openalex.org/W1557131762","https://openalex.org/W1576242049","https://openalex.org/W1580408243","https://openalex.org/W1582170352","https://openalex.org/W1583141478","https://openalex.org/W1583342875","https://openalex.org/W1954663826","https://openalex.org/W1985666035","https://openalex.org/W1987258130","https://openalex.org/W1988608094","https://openalex.org/W1996807873","https://openalex.org/W2002398380","https://openalex.org/W2014646675","https://openalex.org/W2030770791","https://openalex.org/W2033618475","https://openalex.org/W2037021532","https://openalex.org/W2038981811","https://openalex.org/W2041339234","https://openalex.org/W2045181804","https://openalex.org/W2052654950","https://openalex.org/W2055521902","https://openalex.org/W2067408842","https://openalex.org/W2068153431","https://openalex.org/W2069045901","https://openalex.org/W2082378465","https://openalex.org/W2086007337","https://openalex.org/W2088716340","https://openalex.org/W2096878712","https://openalex.org/W2115498674","https://openalex.org/W2116505349","https://openalex.org/W2120958963","https://openalex.org/W2144021816","https://openalex.org/W2154163681","https://openalex.org/W2157092806","https://openalex.org/W2158522377","https://openalex.org/W2163056391","https://openalex.org/W2164832405","https://openalex.org/W2169082151","https://openalex.org/W2213550817","https://openalex.org/W2263996298","https://openalex.org/W2327115028","https://openalex.org/W2386546209","https://openalex.org/W2523411113","https://openalex.org/W3124066374","https://openalex.org/W3124865537"],"related_works":["https://openalex.org/W2786020177","https://openalex.org/W4388676248","https://openalex.org/W2933918024","https://openalex.org/W2755862626","https://openalex.org/W4211039102","https://openalex.org/W1970571431","https://openalex.org/W4205445214","https://openalex.org/W2904207898","https://openalex.org/W4246070000","https://openalex.org/W2599736092"],"abstract_inverted_index":{"Abstract:The":[0],"purpose":[1],"of":[2,23,44,72,91,136,156,171,207,213,227,243,252,271,293,300,316,325,337,359,368,391],"this":[3],"exploratory":[4],"research":[5,287],"was":[6,35,117,138],"empirically":[7],"to":[8,18,103,113,119,140,144],"examine":[9],"several":[10,343],"logical":[11],"relationships":[12,75],"between":[13],"key":[14,74],"variables":[15],"in":[16,37,77,167,222,234,262,297,305,332,352,388],"order":[17],"create":[19],"a":[20,31,42,153,220,240,376,401],"causal":[21],"model":[22,82],"end-user":[24,146,185,394],"application":[25,131,150],"effectiveness.":[26],"To":[27],"test":[28],"the":[29,53,73,78,81,85,89,96,104,107,110,121,125,174,211,225,235,250,269,291,298,323,335,366,389],"hypotheses,":[30],"survey-based":[32],"field":[33],"study":[34],"conducted":[36],"forty":[38],"large":[39],"organizations":[40],"with":[41,130,239,374],"total":[43],"506":[45],"usable":[46],"responses.":[47],"The":[48,63],"data":[49],"were":[50],"analyzed":[51],"using":[52],"Partial":[54],"Least":[55],"Squares":[56],"(PLS)":[57,194],"multivariate":[58],"path":[59,128],"analysis":[60],"statistical":[61],"technique.":[62],"preliminary":[64],"empirical":[65],"evidence":[66],"provides":[67],"general":[68],"support":[69,135,170],"for":[70],"most":[71,122],"contained":[76],"model.":[79],"Both":[80],"based":[83,94],"on":[84,95,198,289],"original":[86],"sample":[87],"and":[88,149,165,183,229,246,255,276,280,303,314,319,345,365,381,396,399],"validation":[90],"that":[92,161],"model,":[93],"holdback":[97],"sample,":[98],"had":[99],"good":[100],"overall":[101],"fits":[102],"data.":[105],"Of":[106],"important":[108],"contributions,":[109],"end-users'":[111],"motivation":[112],"develop":[114],"new":[115],"applications":[116],"found":[118,139],"be":[120,141,179],"significant,":[123],"showing":[124],"strongest":[126],"positive":[127],"coefficient":[129],"utilization.":[132,151],"Perceived":[133],"organizational":[134,157,169],"EUC":[137,172],"indirectly":[142],"related":[143],"improved":[145],"information":[147,236,264,301],"satisfaction":[148],"Given":[152],"limited":[154],"set":[155],"resources,":[158],"we":[159],"suggest":[160],"managers":[162],"invest":[163],"time":[164],"money":[166],"improving":[168],"where":[173],"immediate":[175],"payoff":[176],"may":[177],"not":[178],"readily":[180],"evident.Key":[181],"Words":[182],"Phrases:":[184],"computingapplication":[186],"developmentinformation":[187],"system":[188],"effectivenessuser":[189],"satisfactionapplication":[190],"utilizationpartial":[191],"least":[192],"squares":[193],"modeling":[195],"Additional":[196],"informationNotes":[197],"contributorsDonald":[199],"L.":[200,202],"AmorosoDonald":[201],"Amoroso":[203,259],"is":[204,288,312,385,400],"Assistant":[205],"Professor":[206,313],"Information":[208,273,275,281,317,361],"Systems":[209,318],"at":[210,215,322],"University":[212,226,324,336],"Colorado":[214,216],"Springs.":[217],"He":[218,328,371],"holds":[219],"Ph.D.":[221],"MIS":[223,333,363],"from":[224,334],"Georgia,":[228],"has":[230,260,341,346,372],"ten":[231],"years":[232],"experience":[233],"systems":[237,265,306],"field,":[238],"wide":[241],"range":[242],"technical,":[244],"managerial,":[245],"consultative":[247],"positions":[248],"including":[249,379],"Bureau":[251],"Land":[253],"Management":[254,272,283,360,369],"Canada":[256],"Post":[257],"Dr.":[258,339,383],"published":[261,342],"leading":[263],"journals":[266,353],"such":[267,354],"as":[268,355],"Journal":[270,358],"Systems,":[274,362],"Management,":[277],"Data":[278],"Base,":[279],"Resource":[282],"Journal.":[284,370],"His":[285],"current":[286],"measuring":[290],"impact":[292],"emerging":[294],"technologies,":[295],"specifically":[296],"areas":[299,390],"engineering":[302],"creativity":[304],"design.Paul":[307],"H.":[308,310],"CheneyPaul":[309],"Cheney":[311,340,384],"Chair":[315],"Decision":[320,356],"Sciences":[321],"South":[326],"Florida.":[327],"received":[329],"his":[330],"doctorate":[331],"Minnesota.":[338],"texts":[344],"authored":[347],"over":[348,375],"thirty":[349],"scholarly":[350],"articles":[351],"Sciences,":[357],"Quarterly,":[364],"Academy":[367],"served":[373],"hundred":[377],"firms,":[378],"Ford":[380],"Exxon.":[382],"internationally":[386],"known":[387],"office":[392],"automation,":[393],"computing.":[395],"implementation":[397],"management,":[398],"well-known":[402],"speaker":[403],"before":[404],"professional":[405],"groups.":[406]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
