Explore our knowledge

Rong Ma

Ph.d.

Emner
Regnskab Kunstig intelligens Maskinlæring Kvantitativ metode

Primary research areas

AI-as­sisted sys­tem­at­ic lit­er­at­ure re­view
This re­search in­vest­ig­ates how AI tools and com­pu­ta­tion­al meth­ods can sup­port sys­tem­at­ic lit­er­at­ure re­views. The aim is to help novice and in­ter­dis­cip­lin­ary re­search­ers con­duct re­views that are more trans­par­ent, ef­fi­cient, and re­pro­du­cible.
AI-driv­en Cus­tom­er Ana­lyt­ics for Man­age­ment Ac­count­ing
This re­search ex­plores the design and ap­plic­a­tion of AI-driv­en Cus­tom­er Life­time Value mod­els. The fo­cus is on mov­ing bey­ond stat­ic meas­ure­ment to­ward dy­nam­ic, pre­dict­ive, and ac­tion­able tools that sup­port man­age­ment ac­count­ing, pri­cing, and stra­tegic de­cision-mak­ing.

I help re­search­ers nav­ig­ate know­ledge and com­pan­ies cre­ate value with AI

My research explores how artificial intelligence (AI) can improve both research practices and business decision-making. I focus on using AI to make knowledge more transparent and accessible, and to help companies create value through smarter management accounting and customer analytics. 

The impact of my work on society 

I make literature reviews more transparent, efficient, and reproducible, helping novice and interdisciplinary researchers navigate complex knowledge. 

I design AI-driven customer lifetime value models that give companies predictive and actionable insights, improving pricing, resource allocation, and customer relationships. 

I support organizations in bridging technology and practice, so they can respond to digital transformation with better strategies and decisions. 

Outside activities

Cur­rently, I have no out­side em­ploy­ments or activ­it­ies , -