{"title":"同行业的传统企业为何拒绝数字化转型?感知和注意力的结构性限制","authors":"Erik Fernandes , Ana Burcharth","doi":"10.1016/j.lrp.2024.102426","DOIUrl":null,"url":null,"abstract":"<div><p>We explain why some traditional companies fail to sense new digital technologies when facing an identical scenario of digital transformation. Our objective is to investigate situations where discontinuous changes steaming from digital transformation are actively rejected, in the sense that they are not perceived as a strategic issue, i.e., a threat or opportunity. We draw on a mixed-method research design comprising two sequential studies. The first study is based on Delphi's Technique, which uses a panel of specialists to build the most likely future scenarios in the medium term for the language education industry. The second one is a qualitative comparative study with eleven traditional firms. Their senior executives were first asked for their spontaneous sensing of emerging technologies and later asked to provide their assessment of the most likely future scenarios. Our contribution lies in developing a conceptual model that proposes a structural “schema-driven” explanation of why firm-level structures – concrete, contextual and knowledge – can hinder perception and attention. Active rejection is prompted not by the absence of attentional structures, but by their specific attributes. This expands the dominant ontology of issues, asserting their existence independently of an organization's epistemological experience, and adds to the theoretical understanding regarding the constraints of the sensing dynamic capability in digital transformation.</p></div>","PeriodicalId":18141,"journal":{"name":"Long Range Planning","volume":null,"pages":null},"PeriodicalIF":7.4000,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Why traditional firms from the same industry reject digital transformation: Structural constraints of perception and attention\",\"authors\":\"Erik Fernandes , Ana Burcharth\",\"doi\":\"10.1016/j.lrp.2024.102426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We explain why some traditional companies fail to sense new digital technologies when facing an identical scenario of digital transformation. Our objective is to investigate situations where discontinuous changes steaming from digital transformation are actively rejected, in the sense that they are not perceived as a strategic issue, i.e., a threat or opportunity. We draw on a mixed-method research design comprising two sequential studies. The first study is based on Delphi's Technique, which uses a panel of specialists to build the most likely future scenarios in the medium term for the language education industry. The second one is a qualitative comparative study with eleven traditional firms. Their senior executives were first asked for their spontaneous sensing of emerging technologies and later asked to provide their assessment of the most likely future scenarios. Our contribution lies in developing a conceptual model that proposes a structural “schema-driven” explanation of why firm-level structures – concrete, contextual and knowledge – can hinder perception and attention. Active rejection is prompted not by the absence of attentional structures, but by their specific attributes. This expands the dominant ontology of issues, asserting their existence independently of an organization's epistemological experience, and adds to the theoretical understanding regarding the constraints of the sensing dynamic capability in digital transformation.</p></div>\",\"PeriodicalId\":18141,\"journal\":{\"name\":\"Long Range Planning\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Long Range Planning\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S002463012400013X\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Long Range Planning","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S002463012400013X","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Why traditional firms from the same industry reject digital transformation: Structural constraints of perception and attention
We explain why some traditional companies fail to sense new digital technologies when facing an identical scenario of digital transformation. Our objective is to investigate situations where discontinuous changes steaming from digital transformation are actively rejected, in the sense that they are not perceived as a strategic issue, i.e., a threat or opportunity. We draw on a mixed-method research design comprising two sequential studies. The first study is based on Delphi's Technique, which uses a panel of specialists to build the most likely future scenarios in the medium term for the language education industry. The second one is a qualitative comparative study with eleven traditional firms. Their senior executives were first asked for their spontaneous sensing of emerging technologies and later asked to provide their assessment of the most likely future scenarios. Our contribution lies in developing a conceptual model that proposes a structural “schema-driven” explanation of why firm-level structures – concrete, contextual and knowledge – can hinder perception and attention. Active rejection is prompted not by the absence of attentional structures, but by their specific attributes. This expands the dominant ontology of issues, asserting their existence independently of an organization's epistemological experience, and adds to the theoretical understanding regarding the constraints of the sensing dynamic capability in digital transformation.
期刊介绍:
Long Range Planning (LRP) is an internationally renowned journal specializing in the field of strategic management. Since its establishment in 1968, the journal has consistently published original research, garnering a strong reputation among academics. LRP actively encourages the submission of articles that involve empirical research and theoretical perspectives, including studies that provide critical assessments and analysis of the current state of knowledge in crucial strategic areas. The primary user base of LRP primarily comprises individuals from academic backgrounds, with the journal playing a dual role within this community. Firstly, it serves as a platform for the dissemination of research findings among academic researchers. Secondly, it serves as a channel for the transmission of ideas that can be effectively utilized in educational settings. The articles published in LRP cater to a diverse audience, including practicing managers and students in professional programs. While some articles may focus on practical applications, others may primarily target academic researchers. LRP adopts an inclusive approach to empirical research, accepting studies that draw on various methodologies such as primary survey data, archival data, case studies, and recognized approaches to data collection.