{"id":"https://openalex.org/W7125798131","doi":"https://doi.org/10.1109/tem.2026.3655220","title":"Is 1+1 Greater Than 2? The Synergistic Effect of Blockchain and Artificial Intelligence on Consumer Perceptual and Experiential Needs","display_name":"Is 1+1 Greater Than 2? The Synergistic Effect of Blockchain and Artificial Intelligence on Consumer Perceptual and Experiential Needs","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125798131","doi":"https://doi.org/10.1109/tem.2026.3655220"},"language":null,"primary_location":{"id":"doi:10.1109/tem.2026.3655220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2026.3655220","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","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/A5024112160","display_name":"Yanji Duan","orcid":"https://orcid.org/0000-0002-2630-6150"},"institutions":[{"id":"https://openalex.org/I11874761","display_name":"University of North Florida","ror":"https://ror.org/01j903a45","country_code":"US","type":"education","lineage":["https://openalex.org/I11874761"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanji Duan","raw_affiliation_strings":["Coggin College of Business, University of North Florida, Jacksonville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-2630-6150","affiliations":[{"raw_affiliation_string":"Coggin College of Business, University of North Florida, Jacksonville, FL, USA","institution_ids":["https://openalex.org/I11874761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123979994","display_name":"Qingyun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingyun Zhu","raw_affiliation_strings":["Fowler College of Business, San Diego State University, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8526-2664","affiliations":[{"raw_affiliation_string":"Fowler College of Business, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123943550","display_name":"Joseph Sarkis","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Sarkis","raw_affiliation_strings":["Business School, Worcester Polytechnic Institute, Worcester, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0143-804X","affiliations":[{"raw_affiliation_string":"Business School, Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.5563,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97737816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1652","last_page":"1666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.19629999995231628,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.19629999995231628,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11891","display_name":"Big Data and Business Intelligence","score":0.08579999953508377,"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/T10763","display_name":"Digital Transformation in Industry","score":0.07819999754428864,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/experiential-learning","display_name":"Experiential learning","score":0.6255000233650208},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6013000011444092},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.47350001335144043},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.41510000824928284},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.37689998745918274},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.36649999022483826}],"concepts":[{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.6255000233650208},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4706000089645386},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4259999990463257},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.41510000824928284},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.37689998745918274},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.358599990606308},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C2779687425","wikidata":"https://www.wikidata.org/wiki/Q7166998","display_name":"Percept","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C123353603","wikidata":"https://www.wikidata.org/wiki/Q5421070","display_name":"Experiential knowledge","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C100521375","wikidata":"https://www.wikidata.org/wiki/Q2015382","display_name":"Competence (human resources)","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tem.2026.3655220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2026.3655220","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W205574329","https://openalex.org/W1492586516","https://openalex.org/W1572956316","https://openalex.org/W1917355616","https://openalex.org/W1974916389","https://openalex.org/W1985617553","https://openalex.org/W1987258130","https://openalex.org/W1994794708","https://openalex.org/W2026228093","https://openalex.org/W2028481812","https://openalex.org/W2031878292","https://openalex.org/W2042645682","https://openalex.org/W2073145055","https://openalex.org/W2080301229","https://openalex.org/W2099028041","https://openalex.org/W2099046195","https://openalex.org/W2099697766","https://openalex.org/W2100408980","https://openalex.org/W2114647004","https://openalex.org/W2115821338","https://openalex.org/W2123835737","https://openalex.org/W2134702245","https://openalex.org/W2151984197","https://openalex.org/W2161498332","https://openalex.org/W2163673738","https://openalex.org/W2166386079","https://openalex.org/W2258392500","https://openalex.org/W2588026839","https://openalex.org/W2603418839","https://openalex.org/W2605807262","https://openalex.org/W2751743945","https://openalex.org/W2779206865","https://openalex.org/W2779704869","https://openalex.org/W2789441909","https://openalex.org/W2861381527","https://openalex.org/W2910426423","https://openalex.org/W2910905828","https://openalex.org/W2919410174","https://openalex.org/W2947308709","https://openalex.org/W2950099013","https://openalex.org/W2952930802","https://openalex.org/W2963591109","https://openalex.org/W2987262352","https://openalex.org/W2991601229","https://openalex.org/W2996741354","https://openalex.org/W3009735711","https://openalex.org/W3044495368","https://openalex.org/W3082622239","https://openalex.org/W3091614728","https://openalex.org/W3103046143","https://openalex.org/W3111789711","https://openalex.org/W3121431905","https://openalex.org/W3132604161","https://openalex.org/W3155229685","https://openalex.org/W3158031231","https://openalex.org/W3173634329","https://openalex.org/W3202749896","https://openalex.org/W4213216236","https://openalex.org/W4221024908","https://openalex.org/W4223978416","https://openalex.org/W4284967490","https://openalex.org/W4295008146","https://openalex.org/W4298872162","https://openalex.org/W4324129606","https://openalex.org/W4367844079","https://openalex.org/W4388669002","https://openalex.org/W4389670769","https://openalex.org/W4390984315","https://openalex.org/W4391542900","https://openalex.org/W4392789389","https://openalex.org/W4400362806","https://openalex.org/W4401101967","https://openalex.org/W4401644632","https://openalex.org/W4402474184","https://openalex.org/W4402924331","https://openalex.org/W4404041628","https://openalex.org/W4404935050","https://openalex.org/W4405247870","https://openalex.org/W4407243994","https://openalex.org/W4412379461"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1,181],"investigates":[2],"whether":[3],"combining":[4],"blockchain":[5,37,198],"and":[6,13,62,69,89,108,137,156,201,206],"artificial":[7],"intelligence":[8],"(AI)":[9],"enhances":[10],"consumer":[11,53,86,211],"value":[12,212],"creates":[14],"synergies":[15,208],"in":[16,20,177,213],"reverse":[17],"logistics":[18],"operations":[19],"a":[21,25,32,73,128],"retail":[22,214],"setting.":[23],"Using":[24],"behavioral":[26],"experiment":[27],"with":[28,81,199],"250":[29],"participants":[30],"on":[31,154],"simulated":[33],"e\u2011commerce":[34],"platform":[35],"featuring":[36],"only,":[38,40],"AI":[39],"or":[41],"their":[42],"combination":[43],"while":[44],"searching":[45],"for":[46,186],"returned":[47],"product\u2011logistics":[48],"information.":[49],"Two":[50],"dimensions":[51],"of":[52,191,196],"outputs":[54],"were":[55,171],"assessed:":[56],"perceptual":[57,75,135,205],"outcomes\u2014attitude":[58],"toward":[59],"the":[60,147,162,178,189,194,202],"firm":[61],"repurchase":[63,92],"intention\u2014and":[64],"experiential":[65,98,139,207],"outcomes\u2014task":[66],"completion":[67,106],"time":[68],"accuracy.":[70],"Results":[71],"indicate":[72],"clear":[74],"complementarity.":[76],"Integrating":[77],"blockchain's":[78],"verifiable":[79],"transparency":[80],"AI\u2011driven":[82],"personalization":[83],"significantly":[84,111],"strengthened":[85],"sustainability":[87],"perceptions":[88,158],"willingness":[90],"to":[91,94,145,160,173,209],"relative":[93],"single\u2011technology":[95],"conditions.":[96],"Differently,":[97],"effects":[99],"diverged.":[100],"Combining":[101],"both":[102],"technologies":[103],"increased":[104],"task":[105],"time,":[107],"did":[109],"not":[110],"improve":[112],"accuracy,":[113],"revealing":[114],"performance":[115],"substitutability":[116],"rather":[117],"than":[118],"synergy.":[119],"These":[120],"findings":[121],"refine":[122],"complementarity":[123],"theory":[124],"by":[125],"demonstrating":[126],"that":[127],"technology":[129,192],"bundle":[130],"can":[131],"simultaneously":[132],"yield":[133],"positive":[134],"spillovers":[136],"negative":[138],"trade\u2011offs.":[140],"Retailers":[141],"are":[142],"therefore":[143],"advised":[144],"adopt":[146],"blockchain\u2013AI":[148],"pairing":[149],"when":[150,164],"strategic":[151],"objectives":[152],"center":[153],"trust":[155],"brand":[157],"but":[159],"simplify":[161],"interface":[163],"operational":[165],"speed":[166],"is":[167],"important.":[168],"Robustness":[169],"checks":[170],"completed":[172],"further":[174],"establish":[175],"rigor":[176],"results.":[179],"Our":[180],"also":[182],"provides":[183],"actionable":[184],"insights":[185],"managers,":[187],"emphasizing":[188],"prioritization":[190],"adoption,":[193],"importance":[195],"bundling":[197],"AI,":[200],"differentiation":[203],"between":[204],"maximize":[210],"operations.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-28T00:00:00"}
