Nirosha Nilmini Sathiskumar, Poul Houman Andersen, Deva Rangarajan
{"title":"Understanding AI-enabled transformations in sales processes: A socio-technical perspective on the generative mechanisms underlying tensions","authors":"Nirosha Nilmini Sathiskumar, Poul Houman Andersen, Deva Rangarajan","doi":"10.1016/j.indmarman.2026.07.008","DOIUrl":null,"url":null,"abstract":"<div><div>The integration of artificial intelligence (AI) into business-to-business (B2B) sales processes reshapes sales tasks and the governance of sales work. While existing sales research provides a thorough understanding of task-level outcomes and the performance benefits of AI in sales, less is known about the broader organizational dynamics of AI-enabled transformations in sales processes. Drawing on socio-technical systems (STS) theory, this study presents a process-oriented understanding of AI-enabled transformations in sales by examining how AI reshapes sales task execution and managerial governance within B2B sales processes.</div><div>Based on 31 expert interviews with B2B sales practitioners and sales academics, we identify six interrelated socio-technical tensions that unfold across the pre-sales, sales, and post-sales phases of the sales process. Moving beyond a descriptive categorization of tensions, we theorize six socio-technical mechanisms: data institutionalization, recursive sensemaking, standardization of customer interactions, sensemaking asymmetries, role reclassification, and legitimation of expertise that explain how these tensions emerge and reshape sales tasks and governance.</div></div>","PeriodicalId":51345,"journal":{"name":"Industrial Marketing Management","volume":"137 ","pages":"Pages 90-103"},"PeriodicalIF":7.3000,"publicationDate":"2026-08-01","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/S0019850126001203","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
The integration of artificial intelligence (AI) into business-to-business (B2B) sales processes reshapes sales tasks and the governance of sales work. While existing sales research provides a thorough understanding of task-level outcomes and the performance benefits of AI in sales, less is known about the broader organizational dynamics of AI-enabled transformations in sales processes. Drawing on socio-technical systems (STS) theory, this study presents a process-oriented understanding of AI-enabled transformations in sales by examining how AI reshapes sales task execution and managerial governance within B2B sales processes.
Based on 31 expert interviews with B2B sales practitioners and sales academics, we identify six interrelated socio-technical tensions that unfold across the pre-sales, sales, and post-sales phases of the sales process. Moving beyond a descriptive categorization of tensions, we theorize six socio-technical mechanisms: data institutionalization, recursive sensemaking, standardization of customer interactions, sensemaking asymmetries, role reclassification, and legitimation of expertise that explain how these tensions emerge and reshape sales tasks and governance.
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.