Adeniji, J., Igarashi, R., Vardarsuyu, M. et al. (1 more author) (2026) The technostress paradox: Understanding when CRM systems and their AI functions hurt or help sales performance. Journal of Business Research, 214. 116298. ISSN: 0148-2963
Abstract
Despite the rapid growth of the CRM industry and widespread integration of artificial intelligence (AI) into CRM applications, many organizations struggle to ensure their employees use technology effectively to drive sales performance optimization. We address this paradox by investigating how CRM systems and their AI functions impact salesperson performance through both positive and negative stress mechanisms. Drawing on the Challenge-Hindrance Stressor Framework and Job Demands–Resources model, we theorize a curvilinear relationship between CRM infusion and sales performance, mediated by two opposing mechanisms: technostress and salesperson bricolage. In Study 1, we find that technostress (self-undermining behavior) and bricolage (job crafting behavior) explain dual pathways through which CRM infusion influences sales performance. Study 2 extends these findings by demonstrating that AI-assisted adaptive selling steepens the curvilinear effects of CRM infusion—enhancing bricolage and mitigating technostress. Our results offer novel insights into technology-induced stress and adaptive behavior in digitally transforming sales environments.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of an article published in Journal of Business Research, made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | CRM Infusion; Artificial intelligence; Technostress; Bricolage; Sales performance; Challenge-hindrance stressor framework |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
| Date Deposited: | 27 May 2026 14:51 |
| Last Modified: | 27 May 2026 15:36 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.jbusres.2026.116298 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241300 |
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