Hybridized Conceptual Model of Artificial Intelligence Capability

Background: Hybridization is the process of integrating two or more models together to have a robust model. Artificial intelligence capability is the ability of a firm to select, organize and use its AI specific resources. In other to study the impact of AI capability on organizational creativity, studies proposed the idea of framework of AI capability model, it’s concept that investigated the effect of AI capability on organizational creativity and it performance. However, some essential factors that are necessary and relevant in enhancing the effect of AI capability in business organization are inadequate, despite the revolutionary potential that AI capabilities may promote, hence, this study bridge the gap. Aim: This study is based on resource base theory of the firm in the business domain that explored the impact of a hybridized model of Artificial Intelligence capability on organizational success. Method: The study integrated and enhanced two AI capability model by hybridization and addition of more factors, thus thirteen (13) factors were added. They were classified into external, instantaneous and temporal factors. The external factors are the input factors to the model, they are the independent variables, the instantaneous otherwise known as the mediating factors are time bounded factors with no delay while the temporal factors are the dependent variables, and they are also time-bounded factors with delay. The identified factors were based on theories and other related literatures. Nodes was used to represent the factors and the casual relationship of the identified factors was represented in form of flow arrows to show its connectivity. This was how the conceptual model was derived. Results: The inclusion of the thirteen factors resulted in a robust conceptual model, used to influence important decisions in business organizations.