{"title":"Artificial neural network to diagnose the consumer behaviour towards non-fuel products and services at filling stations","authors":"Surajit Bag, Gautam Srivastava","doi":"10.1504/IJTMKT.2021.10036874","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":37549,"journal":{"name":"International Journal of Technology Marketing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Technology Marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJTMKT.2021.10036874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
期刊介绍:
IJTMkt proposes and fosters discussion on the advancement of marketing practice and theory, with emphasis on technology and technology intensive products. This perspective acknowledges the complexity and importance of linking technology and marketing issues, as well as the necessity of innovatively marketing technology and technology intensive products.