{"title":"Digital orientation, knowledge acquisition, and digitization in non-digital native firms","authors":"Lipeng Pan , Shuchun Liu , Yongqing Li","doi":"10.1016/j.ipm.2025.104361","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding how non-digital native firms achieve successful digital transformation remains a significant challenge in information management. This study investigates the digital transformation process from a knowledge-based perspective, using a panel dataset comprising 13,882 firm-year observations from 3109 industrial firms in Zhejiang Province, China (2014–2022). Employing fixed-effects regression and mediation-moderation analyses, the study examines how digital orientation influences digital transformation across three core business processes: procurement, production, and sales. Key findings highlight distinct knowledge acquisition pathways: digital orientation directly enhances production digitization (β = 0.032, <em>p</em> < 0.05), whereas its influence on procurement and sales digitization operates indirectly through tactical (β = 0.058, <em>p</em> < 0.01) and strategic knowledge acquisition (β = 0.041, <em>p</em> < 0.001). Further analysis reveals that absorptive capacity significantly strengthens the effect of tactical knowledge acquisition (β = 0.034, <em>p</em> < 0.1) but does not affect strategic knowledge pathways. The study underscores the importance of targeted knowledge management practices and suggests firms optimize their digital investments and internal training resources to initiate and sustain digital transformation effectively. Moreover, clarifying strategic goals related to digitalization is essential for guiding firms toward consistent innovation. These insights provide practical guidelines for enhancing digital transformation strategies, ultimately assisting traditional firms in overcoming internal capability constraints and fostering sustainable digitization outcomes.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"63 1","pages":"Article 104361"},"PeriodicalIF":6.9000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing & Management","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306457325003024","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding how non-digital native firms achieve successful digital transformation remains a significant challenge in information management. This study investigates the digital transformation process from a knowledge-based perspective, using a panel dataset comprising 13,882 firm-year observations from 3109 industrial firms in Zhejiang Province, China (2014–2022). Employing fixed-effects regression and mediation-moderation analyses, the study examines how digital orientation influences digital transformation across three core business processes: procurement, production, and sales. Key findings highlight distinct knowledge acquisition pathways: digital orientation directly enhances production digitization (β = 0.032, p < 0.05), whereas its influence on procurement and sales digitization operates indirectly through tactical (β = 0.058, p < 0.01) and strategic knowledge acquisition (β = 0.041, p < 0.001). Further analysis reveals that absorptive capacity significantly strengthens the effect of tactical knowledge acquisition (β = 0.034, p < 0.1) but does not affect strategic knowledge pathways. The study underscores the importance of targeted knowledge management practices and suggests firms optimize their digital investments and internal training resources to initiate and sustain digital transformation effectively. Moreover, clarifying strategic goals related to digitalization is essential for guiding firms toward consistent innovation. These insights provide practical guidelines for enhancing digital transformation strategies, ultimately assisting traditional firms in overcoming internal capability constraints and fostering sustainable digitization outcomes.
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.