{"title":"Fully leveraging AI in B2B sales: Exploring sales managers’ capabilities and organizational knowledge processes","authors":"Pia Hautamäki , Minna Heikinheimo","doi":"10.1016/j.jbusres.2025.115396","DOIUrl":null,"url":null,"abstract":"<div><div>Studies have demonstrated that artificial intelligence (AI) can enhance sales efficiency in business-to-business (B2B) contexts. However, despite the wide accessibility of AI, its adoption in B2B sales remains limited. Few studies have examined how sales managers support their sales teams in leveraging AI. This is the first study to link the perspectives of AI exploitation to managerial capabilities and organizational knowledge processes in the context of B2B sales. Using a grounded theory approach, we derive empirical insights from interviews with 32 top-level managers in B2B sales organizations. We contribute to the B2B sales literature by presenting a framework illustrating how sales managers’ capabilities—data-based human capital, the social capital associated with creating a knowledge-sharing culture, and a transformative AI-positive mindset—foster AI-integrated knowledge processes at the individual, team, and organizational levels. We also provide practical recommendations for sales managers integrating AI into B2B sales operations.</div></div>","PeriodicalId":15123,"journal":{"name":"Journal of Business Research","volume":"194 ","pages":"Article 115396"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Business Research","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S014829632500219X","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
Studies have demonstrated that artificial intelligence (AI) can enhance sales efficiency in business-to-business (B2B) contexts. However, despite the wide accessibility of AI, its adoption in B2B sales remains limited. Few studies have examined how sales managers support their sales teams in leveraging AI. This is the first study to link the perspectives of AI exploitation to managerial capabilities and organizational knowledge processes in the context of B2B sales. Using a grounded theory approach, we derive empirical insights from interviews with 32 top-level managers in B2B sales organizations. We contribute to the B2B sales literature by presenting a framework illustrating how sales managers’ capabilities—data-based human capital, the social capital associated with creating a knowledge-sharing culture, and a transformative AI-positive mindset—foster AI-integrated knowledge processes at the individual, team, and organizational levels. We also provide practical recommendations for sales managers integrating AI into B2B sales operations.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.