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Dhruv Pra­tap Singh

External Ph.D-fellow

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.