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Dhruv Pra­tap Singh

External PhD Fellow affiliation

Subjects
Artificial intelligence Technology Collaboration Ethics Moral

Primary research areas

Task–Technology–Competence Fit (TTCF)

Reframing fit theory by placing competence at the center: not just how tasks and technology align, but how individual competences determine and reshape this alignment. TTCF explains both immediate performance and spillover effects: how reliance on technology (as crutch or amplifier) transfers knowledge, reshapes expertise, and impacts future collaboration.

GenAI Modalities and Human–GenAI Collaboration

How GenAI use in collaboration, ghostwriting vs. sounding-board, alters cognitive effort (anchoring vs. elaboration), shaping cues of effort, authorship, and authenticity. These cues drive attribution, peer evaluations, and collaboration, while repeated use conditions norms, cohesion, trust, and team performance.

Adoption and Fit of GenAI in Global Teams

Extending TAM with Perceived Ethics and testing TTF in a global consulting project. Shows how ethical concerns shape adoption and how task–technology fit predicts collaboration, trust, and performance in real international business teams.

I look for ways technology transforms people and teamwork

I study how generative AI transforms collaboration, competence, and performance in the workplace. At CBS, my research extends the Technology Acceptance Model with Perceived Ethics to explain GenAI adoption in global virtual teams. Building on this, I tested Task–Technology Fit in a global consulting project, engaging 1,000+ teams annually across 90+ countries. 

Currently, I advance Task–Technology Fit theory by advocating a competence-centered extension — Task–Technology–Competence Fit (TTCF). I also investigate AI modalities, showing how ghostwriting versus sounding-board use alters cognition, attribution, and collaboration dynamics.  

In parallel at NEOMA, I developed the Responsible GenAI Competence scale and applied the Job Demands–Resources framework to examine AI-driven job crafting, technostress, and well-being. 

Recognized with a Best Paper Award at AOM 2025 and selected Best Professor among 197 faculty worldwide, I bridge rigorous scholarship with global impact. As Director of the X-Culture Coaching Program, I train 100+ coaches who mentor 11,000+ students annually, supporting feedback, conflict resolution, and cross-cultural collaboration. 

Outside activities

Research Fellow – Future of Work, NEOMA Business School , 2022–present

Contributing to the Area of Excellence on the Future of Work, focusing on responsible GenAI Competence and workplace dynamics

Lecturer – People & Organization Department, NEOMA Business School , 2022–present

Teaching X-Culture (MSc International Project Development): a global consulting project involving 6,000+ students worldwide. Delivered sessions on global virtual teams, leadership, and AI in cross-cultural collaboration. Recognized as “Best Professor” by X-Culture, selected from 197 professors worldwide.

Teaching Finsimco Simulation: ESG Negotiation: an experiential simulation where students design ESG action plans aligned with ethical values and stakeholder interests, bridging negotiation, sustainability, and strategy.

Program Director – X-Culture Coaching Program , 2021–present

Directing the global coaching program of 100+ trained coaches who, in turn, mentor and support over 11,000 students every year. Coaches are prepared to provide developmental feedback, resolve conflicts, and guide teams facing the challenges of working across cultures, time zones, and technologies. This role integrates teaching, leadership, and global community building in higher education.