Table 10 Future research questions drawn... | Emerald Publishing

Table 10

Future research questions drawn from cluster 6 for future research studies

Major talk of the theme	Future research questions (FRQ)
How could AI play an important role in risk-oriented decision-making?	FRQ34: To what extent can organizations use cognitive analytics to swiftly access unstructured data, tailor offerings to individual customers, and lessen the role of bias in decision-making?
	FRQ35: To effectively manage HR functions, how can one develop a model that accounts for variables like market risk and operational risk?
	FRQ36: To what extent can we identify drivers and constraints to the use of AI approaches in the development of human resource practices that are sustainable?
	FRQ37: How can AI be used to sift through mountains of data to find the insights that will help you make more informed business decisions about things like cybersecurity?
	FRQ38: How can businesses use AI to serve as the missing ingredient in their risk management strategy?
	FRQ39: How the use of AI may help businesses switch from a reactive to a proactive approach to risk detection by highlighting ambiguous language, flagging impending expiry dates, uncovering gaps in coverage, and determining the extent of any contractual standard deviations?
	FRQ40: How might AI assist in the identification and resolution of company data breaches?

Major talk of the theme	Future research questions (FRQ)
How could AI play an important role in risk-oriented decision-making?	FRQ34: To what extent can organizations use cognitive analytics to swiftly access unstructured data, tailor offerings to individual customers, and lessen the role of bias in decision-making?
	FRQ35: To effectively manage HR functions, how can one develop a model that accounts for variables like market risk and operational risk?
	FRQ36: To what extent can we identify drivers and constraints to the use of AI approaches in the development of human resource practices that are sustainable?
	FRQ37: How can AI be used to sift through mountains of data to find the insights that will help you make more informed business decisions about things like cybersecurity?
	FRQ38: How can businesses use AI to serve as the missing ingredient in their risk management strategy?
	FRQ39: How the use of AI may help businesses switch from a reactive to a proactive approach to risk detection by highlighting ambiguous language, flagging impending expiry dates, uncovering gaps in coverage, and determining the extent of any contractual standard deviations?
	FRQ40: How might AI assist in the identification and resolution of company data breaches?

Source(s): Created by authors