{"title":"非数字化本土企业的数字化取向、知识获取与数字化","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":"{\"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}","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
摘要
了解非数字化原生企业如何实现成功的数字化转型仍然是信息管理中的一个重大挑战。本研究从基于知识的角度考察了数字化转型过程,使用了一个面板数据集,该数据集包括来自中国浙江省3109家工业企业(2014-2022)的13882家企业年观察结果。采用固定效应回归和中介-调节分析,本研究考察了数字化取向如何影响采购、生产和销售三个核心业务流程的数字化转型。主要发现突出了不同的知识获取途径:数字化取向直接促进了生产数字化(β = 0.032, p < 0.05),而其对采购和销售数字化的影响通过战术(β = 0.058, p < 0.01)和战略知识获取(β = 0.041, p < 0.001)间接起作用。进一步分析发现,吸收能力显著增强了战术知识获取的效果(β = 0.034, p < 0.1),但不影响战略知识途径。该研究强调了有针对性的知识管理实践的重要性,并建议企业优化其数字化投资和内部培训资源,以有效地启动和维持数字化转型。此外,明确与数字化相关的战略目标对于指导企业持续创新至关重要。这些见解为加强数字化转型战略提供了实用指南,最终帮助传统企业克服内部能力限制,促进可持续的数字化成果。
Digital orientation, knowledge acquisition, and digitization in non-digital native firms
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.