{"title":"A socio-cognitive analysis of innovation diffusion: Interventionism and substantiveness","authors":"Jiun-Yan Lai , Shih-Chang Hung","doi":"10.1016/j.techfore.2024.123847","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the early stage of innovation diffusion from a socio-cognitive perspective. Innovation diffusion is viewed as a social process, characterized by evolving categories and associated labels that account for how and why an innovation is adopted or rejected. Empirically, we study mobile payments in Taiwan using a combination of the topic modeling approach and narrative analysis to uncover keywords and topics (categories) in a large number of newspaper articles from 2012 to 2018 (<em>N</em> = 1376), collected from the <em>United Daily News</em> database. We identify 14 latent topics, which could be grouped into two higher-order categories based on the distinctiveness of their evolving patterns and the coherence of their keywords: interventionism and substantiveness. We also highlight that the early diffusion begins with interventionism and proceeds to substantiveness.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123847"},"PeriodicalIF":12.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162524006450","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
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Abstract
This paper examines the early stage of innovation diffusion from a socio-cognitive perspective. Innovation diffusion is viewed as a social process, characterized by evolving categories and associated labels that account for how and why an innovation is adopted or rejected. Empirically, we study mobile payments in Taiwan using a combination of the topic modeling approach and narrative analysis to uncover keywords and topics (categories) in a large number of newspaper articles from 2012 to 2018 (N = 1376), collected from the United Daily News database. We identify 14 latent topics, which could be grouped into two higher-order categories based on the distinctiveness of their evolving patterns and the coherence of their keywords: interventionism and substantiveness. We also highlight that the early diffusion begins with interventionism and proceeds to substantiveness.
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