{"id":"https://openalex.org/W4313425333","doi":"https://doi.org/10.1080/10447318.2022.2151223","title":"An SEM-Neural Network Approach for Predicting Antecedents of Online Grocery Shopping Acceptance","display_name":"An SEM-Neural Network Approach for Predicting Antecedents of Online Grocery Shopping Acceptance","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4313425333","doi":"https://doi.org/10.1080/10447318.2022.2151223"},"language":"en","primary_location":{"id":"doi:10.1080/10447318.2022.2151223","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2022.2151223","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"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":"International Journal of Human\u2013Computer Interaction","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/A5008058094","display_name":"Ashish Kumar Singh","orcid":"https://orcid.org/0000-0002-5398-2947"},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Kumar Singh","raw_affiliation_strings":["Galgotias School of Business, Galgotias University, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galgotias School of Business, Galgotias University, Greater Noida, India","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028878179","display_name":"Francisco Li\u00e9bana\u2010Cabanillas","orcid":"https://orcid.org/0000-0002-3255-0651"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Francisco Li\u00e9bana-Cabanillas","raw_affiliation_strings":["Marketing and Market Research Department, Faculty of Economics and Business Administration, University of Granada, Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3255-0651","affiliations":[{"raw_affiliation_string":"Marketing and Market Research Department, Faculty of Economics and Business Administration, University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028878179"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":6.5015,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96369324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"7","first_page":"1723","last_page":"1745"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.7957362532615662},{"id":"https://openalex.org/keywords/habit","display_name":"Habit","score":0.6327143907546997},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5142085552215576},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4848428964614868},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4774221181869507},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4523133635520935},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.44037455320358276},{"id":"https://openalex.org/keywords/technology-acceptance-model","display_name":"Technology acceptance model","score":0.42730265855789185},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3683098554611206},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3666548728942871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3369929790496826},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.22298702597618103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1759496033191681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12728622555732727},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.10280478000640869}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.7957362532615662},{"id":"https://openalex.org/C44670240","wikidata":"https://www.wikidata.org/wiki/Q1299714","display_name":"Habit","level":2,"score":0.6327143907546997},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5142085552215576},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4848428964614868},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4774221181869507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4523133635520935},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.44037455320358276},{"id":"https://openalex.org/C2776185967","wikidata":"https://www.wikidata.org/wiki/Q112945","display_name":"Technology acceptance model","level":3,"score":0.42730265855789185},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3683098554611206},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3666548728942871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3369929790496826},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.22298702597618103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1759496033191681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12728622555732727},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.10280478000640869},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447318.2022.2151223","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2022.2151223","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"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":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5199999809265137,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":168,"referenced_works":["https://openalex.org/W1260268685","https://openalex.org/W1421723714","https://openalex.org/W1491644571","https://openalex.org/W1492586516","https://openalex.org/W1499170180","https://openalex.org/W1511502075","https://openalex.org/W1525132002","https://openalex.org/W1543266722","https://openalex.org/W1548408014","https://openalex.org/W1570182486","https://openalex.org/W1574235309","https://openalex.org/W1584883541","https://openalex.org/W1603813851","https://openalex.org/W1708393801","https://openalex.org/W1737160807","https://openalex.org/W1791587663","https://openalex.org/W1806945227","https://openalex.org/W1971234322","https://openalex.org/W1972458078","https://openalex.org/W1979755600","https://openalex.org/W1980569376","https://openalex.org/W1981576151","https://openalex.org/W1983737694","https://openalex.org/W1985870920","https://openalex.org/W1988050849","https://openalex.org/W1988811204","https://openalex.org/W1989281126","https://openalex.org/W1994118173","https://openalex.org/W1996516773","https://openalex.org/W1999824890","https://openalex.org/W2002177316","https://openalex.org/W2005092827","https://openalex.org/W2005215882","https://openalex.org/W2006230623","https://openalex.org/W2009865666","https://openalex.org/W2010034359","https://openalex.org/W2011816005","https://openalex.org/W2012990730","https://openalex.org/W2014506725","https://openalex.org/W2017624521","https://openalex.org/W2018888731","https://openalex.org/W2019872794","https://openalex.org/W2019950119","https://openalex.org/W2021048011","https://openalex.org/W2025896356","https://openalex.org/W2030281249","https://openalex.org/W2030330997","https://openalex.org/W2031447793","https://openalex.org/W2033943395","https://openalex.org/W2035642978","https://openalex.org/W2035903736","https://openalex.org/W2035964946","https://openalex.org/W2036568427","https://openalex.org/W2036807896","https://openalex.org/W2037124948","https://openalex.org/W2038416556","https://openalex.org/W2039901534","https://openalex.org/W2040780635","https://openalex.org/W2041748119","https://openalex.org/W2044643323","https://openalex.org/W2046426149","https://openalex.org/W2046670906","https://openalex.org/W2051761983","https://openalex.org/W2055885243","https://openalex.org/W2056162274","https://openalex.org/W2061288618","https://openalex.org/W2061650887","https://openalex.org/W2065122838","https://openalex.org/W2069044326","https://openalex.org/W2072637925","https://openalex.org/W2075639275","https://openalex.org/W2075714274","https://openalex.org/W2081733718","https://openalex.org/W2082924376","https://openalex.org/W2084288664","https://openalex.org/W2084468777","https://openalex.org/W2086625373","https://openalex.org/W2092028188","https://openalex.org/W2100408980","https://openalex.org/W2105359580","https://openalex.org/W2105846236","https://openalex.org/W2106407138","https://openalex.org/W2112042732","https://openalex.org/W2118338381","https://openalex.org/W2118501966","https://openalex.org/W2123534889","https://openalex.org/W2125326971","https://openalex.org/W2128366458","https://openalex.org/W2130050151","https://openalex.org/W2131896026","https://openalex.org/W2132747867","https://openalex.org/W2135617001","https://openalex.org/W2138046252","https://openalex.org/W2140938420","https://openalex.org/W2142584355","https://openalex.org/W2149682988","https://openalex.org/W2150159240","https://openalex.org/W2165549043","https://openalex.org/W2168569455","https://openalex.org/W2170483915","https://openalex.org/W2173316783","https://openalex.org/W2200912452","https://openalex.org/W2279564835","https://openalex.org/W2302075642","https://openalex.org/W2338545932","https://openalex.org/W2478121510","https://openalex.org/W2490107957","https://openalex.org/W2518064995","https://openalex.org/W2524459589","https://openalex.org/W2530622126","https://openalex.org/W2538664884","https://openalex.org/W2561131998","https://openalex.org/W2569181695","https://openalex.org/W2587078962","https://openalex.org/W2594641613","https://openalex.org/W2605351532","https://openalex.org/W2607112047","https://openalex.org/W2609337954","https://openalex.org/W2750887114","https://openalex.org/W2766590219","https://openalex.org/W2768193604","https://openalex.org/W2778468755","https://openalex.org/W2781583293","https://openalex.org/W2788565785","https://openalex.org/W2790330631","https://openalex.org/W2801351590","https://openalex.org/W2809468846","https://openalex.org/W2810869501","https://openalex.org/W2895409706","https://openalex.org/W2898600413","https://openalex.org/W2900738887","https://openalex.org/W2903408243","https://openalex.org/W2912812321","https://openalex.org/W2914711619","https://openalex.org/W2919321513","https://openalex.org/W2946012503","https://openalex.org/W2948928365","https://openalex.org/W2960727798","https://openalex.org/W2966032432","https://openalex.org/W2966629415","https://openalex.org/W2973654474","https://openalex.org/W2992667364","https://openalex.org/W2997960800","https://openalex.org/W3008627411","https://openalex.org/W3042422514","https://openalex.org/W3081771423","https://openalex.org/W3082653683","https://openalex.org/W3089650929","https://openalex.org/W3118889053","https://openalex.org/W3121515601","https://openalex.org/W3122877168","https://openalex.org/W3123722757","https://openalex.org/W3124061660","https://openalex.org/W3125976894","https://openalex.org/W3135903033","https://openalex.org/W3143311077","https://openalex.org/W3207862619","https://openalex.org/W4221092425","https://openalex.org/W4235678817","https://openalex.org/W4242690609","https://openalex.org/W4251472777","https://openalex.org/W4256403140","https://openalex.org/W4281727936","https://openalex.org/W4300870773","https://openalex.org/W4386173392","https://openalex.org/W6647975832","https://openalex.org/W6743681256","https://openalex.org/W7070833347"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2153247772","https://openalex.org/W2296672062","https://openalex.org/W2181838399","https://openalex.org/W2046492287","https://openalex.org/W2959583403","https://openalex.org/W2130637816","https://openalex.org/W2604550836"],"abstract_inverted_index":{"Customers":[0],"today":[1],"benefit":[2],"from":[3],"online":[4,48,166],"grocery":[5,49,167],"shopping":[6,50],"(OGS)":[7],"since":[8],"it":[9],"makes":[10],"their":[11,41,172,183],"lives":[12],"easier":[13],"and":[14,37,40,59,144,174,180],"more":[15],"pleasant.":[16],"This":[17],"study":[18,162],"examines":[19],"the":[20,23,44,86,92,109,113,124,127,148,151,178],"extension":[21],"of":[22,112,142,153,182],"technology":[24],"adoption":[25],"model":[26],"with":[27],"some":[28],"new":[29],"variables":[30,80],"like":[31],"visibility,":[32],"economic":[33],"values,":[34],"habit,":[35],"informativeness,":[36],"website":[38,145],"trust":[39],"influence":[42,84,111],"on":[43,85,130,177],"intention":[45,87,132],"to":[46,77,88,107,133,170],"use":[47,89,134,143],"by":[51,117,137],"Indian":[52],"customers.":[53,184],"A":[54],"structured":[55],"questionnaire":[56],"was":[57,75,100],"developed,":[58],"342":[60],"responses":[61],"were":[62,68],"used":[63,76],"for":[64],"analysis.":[65],"Two":[66],"techniques":[67],"used:":[69],"firstly,":[70],"structural":[71],"equation":[72],"modelling":[73,98],"(PLS-SEM)":[74],"determine":[78],"which":[79],"had":[81],"a":[82,103],"significant":[83,114],"OGS;":[90],"in":[91],"second":[93],"phase,":[94],"artificial":[95],"neural":[96,154],"network":[97,155],"(ANN)":[99],"used,":[101],"under":[102],"deep":[104],"learning":[105],"approach,":[106],"classify":[108],"relative":[110],"predictors":[115],"obtained":[116],"PLS-SEM.":[118],"The":[119,161],"study's":[120],"findings":[121],"suggest":[122],"that":[123],"habit":[125],"has":[126],"highest":[128],"impact":[129],"users'":[131],"OGS,":[135],"followed":[136],"perceived":[138,140],"usefulness,":[139],"ease":[141],"trust.":[146],"On":[147],"other":[149],"side,":[150],"results":[152],"analysis":[156],"confirmed":[157],"many":[158],"SEM":[159],"findings.":[160],"will":[163],"help":[164],"all":[165],"service":[168],"providers":[169],"build":[171],"services":[173],"strategies":[175],"based":[176],"tastes":[179],"needs":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}