{"id":"https://openalex.org/W4297239882","doi":"https://doi.org/10.46850/sofia.9783947850013","title":"Auswirkungen des Decoy-Effekts auf die Algorithm Aversion","display_name":"Auswirkungen des Decoy-Effekts auf die Algorithm Aversion","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4297239882","doi":"https://doi.org/10.46850/sofia.9783947850013"},"language":"en","primary_location":{"id":"doi:10.46850/sofia.9783947850013","doi":"https://doi.org/10.46850/sofia.9783947850013","is_oa":false,"landing_page_url":"https://doi.org/10.46850/sofia.9783947850013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"report"},"volume":null,"type":"report","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/A5048857800","display_name":"Markus Lorenz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Markus Lorenz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5048857800"],"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"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/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoy-effect","display_name":"decoy effect","score":0.8830000162124634},{"id":"https://openalex.org/keywords/algorithm-aversion","display_name":"algorithm aversion","score":0.9950000047683716},{"id":"https://openalex.org/keywords/robo-advisors","display_name":"robo-advisors","score":0.8169999718666077},{"id":"https://openalex.org/keywords/forecast-error","display_name":"forecast error","score":0.7509999871253967},{"id":"https://openalex.org/keywords/choice-behavior","display_name":"choice behavior","score":0.4359999895095825},{"id":"https://openalex.org/keywords/behavioral-economics","display_name":"behavioral economics","score":0.46799999475479126}],"concepts":[{"id":"https://openalex.org/C2779179475","wikidata":"https://www.wikidata.org/wiki/Q3545649","display_name":"Decoy","level":3,"score":0.8215758204460144},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.5916610360145569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4917183220386505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46705424785614014},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4545142650604248},{"id":"https://openalex.org/C129915516","wikidata":"https://www.wikidata.org/wiki/Q17083550","display_name":"Risk aversion (psychology)","level":3,"score":0.4386884570121765},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36072391271591187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24360713362693787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2252812683582306},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15471991896629333},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.14623412489891052},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.13433879613876343},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0871865451335907},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.46850/sofia.9783947850013","doi":"https://doi.org/10.46850/sofia.9783947850013","is_oa":false,"landing_page_url":"https://doi.org/10.46850/sofia.9783947850013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"report"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1607202247","https://openalex.org/W1966436597","https://openalex.org/W1997185550","https://openalex.org/W2000985808","https://openalex.org/W2003572022","https://openalex.org/W2004273488","https://openalex.org/W2036114930","https://openalex.org/W2043499048","https://openalex.org/W2070125214","https://openalex.org/W2117503214","https://openalex.org/W2149961401","https://openalex.org/W2150337234","https://openalex.org/W2158570360","https://openalex.org/W2535769515","https://openalex.org/W2884830853","https://openalex.org/W2913854599","https://openalex.org/W2942858056","https://openalex.org/W2961720344","https://openalex.org/W2970067872","https://openalex.org/W2981686111","https://openalex.org/W3004930960","https://openalex.org/W3029022080","https://openalex.org/W3036668652","https://openalex.org/W3039673320","https://openalex.org/W3084052340","https://openalex.org/W3087513280","https://openalex.org/W3110169284","https://openalex.org/W3110817755","https://openalex.org/W3113878591","https://openalex.org/W3121705224","https://openalex.org/W3125633690","https://openalex.org/W3125844498","https://openalex.org/W3130937151","https://openalex.org/W3152500611","https://openalex.org/W3163498617","https://openalex.org/W3169401219","https://openalex.org/W3190683875","https://openalex.org/W3206523922","https://openalex.org/W4200429321","https://openalex.org/W4200546216","https://openalex.org/W4309634305","https://openalex.org/W4317702541"],"related_works":["https://openalex.org/W3125633690","https://openalex.org/W4306366809","https://openalex.org/W4396243261","https://openalex.org/W2032033588","https://openalex.org/W2981686111","https://openalex.org/W4399883613","https://openalex.org/W3205077746","https://openalex.org/W3169401219","https://openalex.org/W7100776882","https://openalex.org/W6887731288"],"abstract_inverted_index":{"Limitations":[0],"in":[1,83],"the":[2,7,37,57,72,90],"human":[3,68],"decision-making":[4,69],"process":[5],"restrict":[6],"technological":[8],"potential":[9],"of":[10],"algorithms,":[11],"which":[12],"is":[13,40,60,96],"also":[14],"referred":[15],"to":[16,28,62],"as":[17,36,51],"\"algorithm":[18],"aversion\".":[19],"This":[20,95],"study":[21,85],"uses":[22],"a":[23,31,64,99],"laboratory":[24],"experiment":[25],"with":[26],"participants":[27],"investigate":[29],"whether":[30],"phenomenon":[32],"known":[33,61],"since":[34],"1982":[35],"\"decoy":[38],"effect\"":[39],"suitable":[41],"for":[42],"reducing":[43],"algorithm":[44],"aversion.":[45],"For":[46],"numerous":[47],"analogue":[48],"products,":[49],"such":[50],"cars,":[52],"drinks":[53],"or":[54],"newspaper":[55],"subscriptions,":[56],"Decoy":[58,91],"Effect":[59,92],"have":[63],"strong":[65],"influence":[66],"on":[67],"behaviour.":[70],"Surprisingly,":[71],"decisions":[73],"between":[74],"forecasts":[75],"by":[76,89],"humans":[77],"and":[78,101],"Robo":[79],"Advisors":[80],"(algorithms)":[81],"investigated":[82],"this":[84],"are":[86],"not":[87],"influenced":[88],"at":[93],"all.":[94],"true":[97],"both":[98],"priori":[100],"after":[102],"observing":[103],"forecast":[104],"errors.":[105]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-09-28T00:00:00"}
