{"title":"Artificial intelligence-driven digital servitization: The importance of platform characteristics and firm-level factors","authors":"Minna Saunila, Tero Rantala, Juhani Ukko","doi":"10.1016/j.indmarman.2025.08.007","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the connection between artificial intelligence (AI) platform characteristics and digital servitization. The study further investigates how firm-related factors influence this connection. The AI platforms that firms utilize are industrial digital platforms that employ AI-based tools to support their operations. Digital servitization has become a common transformation in several industries collaborating with platforms and seeking ways to establish ecosystems. AI provides substantial opportunities for digital servitization to create revenue streams and improve performance by reducing costs and enhancing customer outcomes. However, the underlying characteristics of the AI platforms that support firms' digital servitization have seldom been explored among small and medium-sized enterprises (SMEs). Based on survey data collected from 179 SMEs, this study conceptualizes five characteristics as drivers of AI platform utilization and investigates their impact on digital servitization using multiple regression analyses. First, this study develops an AI platform characteristic construct. Second, the study builds a theoretical framework showing which AI platform characteristics leverage digital servitization. Ultimately, this research contributes to the understanding of the connections between AI platform characteristics and digital servitization.</div></div>","PeriodicalId":51345,"journal":{"name":"Industrial Marketing Management","volume":"130 ","pages":"Pages 35-45"},"PeriodicalIF":7.5000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Marketing Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019850125001269","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the connection between artificial intelligence (AI) platform characteristics and digital servitization. The study further investigates how firm-related factors influence this connection. The AI platforms that firms utilize are industrial digital platforms that employ AI-based tools to support their operations. Digital servitization has become a common transformation in several industries collaborating with platforms and seeking ways to establish ecosystems. AI provides substantial opportunities for digital servitization to create revenue streams and improve performance by reducing costs and enhancing customer outcomes. However, the underlying characteristics of the AI platforms that support firms' digital servitization have seldom been explored among small and medium-sized enterprises (SMEs). Based on survey data collected from 179 SMEs, this study conceptualizes five characteristics as drivers of AI platform utilization and investigates their impact on digital servitization using multiple regression analyses. First, this study develops an AI platform characteristic construct. Second, the study builds a theoretical framework showing which AI platform characteristics leverage digital servitization. Ultimately, this research contributes to the understanding of the connections between AI platform characteristics and digital servitization.
期刊介绍:
Industrial Marketing Management delivers theoretical, empirical, and case-based research tailored to the requirements of marketing scholars and practitioners engaged in industrial and business-to-business markets. With an editorial review board comprising prominent international scholars and practitioners, the journal ensures a harmonious blend of theory and practical applications in all articles. Scholars from North America, Europe, Australia/New Zealand, Asia, and various global regions contribute the latest findings to enhance the effectiveness and efficiency of industrial markets. This holistic approach keeps readers informed with the most timely data and contemporary insights essential for informed marketing decisions and strategies in global industrial and business-to-business markets.