330 Wirtschaft
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- E-Finance Lab e.V. (436) (remove)
THE FINANCIAL SERVICES INDUSTRY IS OPERATING IN HIGHLY VOLATILE MARKETS.
TO CONSIDER THE IMPACT OF UNCERTAIN MARKET ENVIRONMENTS ON INAND OUTSOURCING DECISIONS, WE INTRODUCE A REAL OPTIONS BASED DECISION SUPPORT MODEL. WE APPLY THE MODEL TO AN IT INFRASTRUCTURE OUTSOURCING DECISION AND DETERMINE - BASED ON COST SAVINGS RESULTING FROM OUTSOURCING AND OPTION VALUES ACCOUNTING FOR UNCERTAINTY - DIFFERENT “TRIGGER” OUTPUT VOLUMES WHICH INDICATE IF IN- OR OUTSOURCING IS PREFERABLE. FINALLY WE SHOW THAT THE MODEL CAN ALSO BE TRANSFERRED TO SOURCING DECISIONS OF TRANSACTION BASED BUSINESS PROCESSES LIKE CLEARING AND SETTLEMENT OF SECURITIES.
In a year marked by challenging market dynamics, the importance of ESG investments remains unwavering. But the wave of ESG regulations and requests generates a demand for more scalable ways to collect and analyze ESG data. The rise of AI could mark a turning point in an industry heavily burdened by reporting requirements, and unlock the true potential of ESG for businesses and investors alike.