arXiv:2608. 12236v1 Announce Type: cross Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026.
By Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
arXiv:2606. 13734v1 Announce Type: new Abstract: Recent evidence reported by Tully, Longoni, and Appel (2025) suggests that lower artificial intelligence (AI) literacy predicts greater receptivity toward AI.
By Hristo Inouzhe
The article examines the psychological costs that software professionals face when organizations adopt artificial intelligence (AI) in software engineering workflows. Through a case study involving 21 interviews at a large software development services company, the authors identify several negative impacts—accountability anxiety, craft identity disruption, erosion of meaning and satisfaction, increased cognitive load and workload, and uncertainty distress. They also describe how practitioners cope by restoring control, adopting protective adaptations, or absorbing the costs, arguing that AI adoption should be viewed as a human transition rather than merely a technological or organizational change.
By Adam Alami, Elda Paja, Abhishek Tiwari
arXiv:2607. 18884v1 Announce Type: cross Abstract: Artificial intelligence (AI) is increasingly integrated into healthcare to support diagnostics, decision-making, and administrative processes.
By Leonie Westerbeek, Ernesto de Leon, Julia C. M. van Weert
The article introduces the AI Leadership Battery, a new measurement tool comprising 36 behaviorally specific items organized into 11 theory-specified content families. The authors followed rigorous scale‑development procedures—including deductive item generation, content validation, exploratory and confirmatory factor analyses, and multiple validity tests—to establish the Battery’s content, multidimensional structure, reliability, and distinctiveness from related constructs. The measure demonstrates incremental predictive value for organizational outcomes such as growth, decision speed, customer response, team performance, work experience, security, and AI adoption.
By Mustafa Akben, Leslie Coyne
arXiv:2601. 16700v2 Announce Type: replace-cross Abstract: Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers.
By Ludwig Felder, Tobias Eisenreich, Mahsa Fischer, Stefan Wagner, Chunyang Chen