The theoretical framework for the management of gaming risk provides researchers and practitioners with important ideas and tools to help understand and analyze potential failures and losses in gaming activities. By establishing systematic models and methods, scholars can identify sources of risk, including but not limited to market fluctuations, changes in laws and regulations, and player behavior. Researchers have generally focused on the following areas:

  • risk assessment: Risk stratification of gaming projects with the help of quantitative and qualitative methods.
  • Risk Control Strategy: Develop an effective risk control framework, such as setting stop-loss limits, policy oversight and internal audit.
  • Decision support model: Using data analytics and machine learning methods to provide real-time advice to decision makers.

On a practical level, the significance of understanding this theoretical framework is that it can provide viable guidance to the gaming industry to ensure that companies are conducting their business in a way that mitigates potential financial risks. By adopting a scientific approach, gaming companies are able to identify and respond to risks more effectively and maximize returns in a dynamic market environment. In practice, industry participants need to focus on implementing the following strategies:

  • Continuous monitoring: Maintain a watchful eye on the gaming market, technological advances and consumer behavior.
  • Staff Training: Strengthen employees' awareness of the importance of risk management and enhance their coping skills.
  • Risk-sharing mechanisms: Form cooperation with other players in the industry to diversify common exposure to risk.