Browsing by Author "Nortje, Morne Andries"
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- ItemAn enterprise technology readiness model for artificial intelligence(Stellenbosch : Stellenbosch University, 2020-03) Nortje, Morne Andries; Grobbelaar, Sara; Stellenbosch University. Faculty of Industrial Engineering. Dept. of Industrial Engineering.ENGLISH ABSTRACT: In the continuously changing and developing landscape of business, rapid growth in technology forms a vital part in leveraging competitive advantage and generating new types of value. One of these emerging technologies is artificial intelligence. Businesses wishing to capitalize on the opportunities that this technology could provide, have unique challenges. One of these challenges is the strategic and organizational implementation and integration of artificial intelligence into the business. The need thus exists for a framework/model to assist businesses in determining their readiness for artificial intelligence to assist in solving these challenges. The aim/goal of the study is to develop a conceptual technology readiness model aimed at artificial intelligence. This model aims to provide two main outputs. These outputs encompass the numerical calculation of the business’ readiness. The second output focuses on providing the business with the ability to categorize and prioritize readiness dimension and elements from an overall, strategic, operational and tactical perspective. The readiness model foundation is developed through the incorporations of academically rooted methodologies and systematized literature reviews. This foundational and core readiness dimensions and elements encompass 7 readiness dimensions and 42 elements, these are further validated through the use of a developed validation process, which incorporates validation steps in various sections that form part of the completion of this study. Through the application of developed requirements, the appropriate, applicable and viable subject matter experts and case study were identified for the study. The readiness model developed was aimed towards use in large enterprises. After the readiness model was developed, improved and validated, it was applied to a large real-world insurance corporation. The readiness model identified that the business’s best performing dimension was the organizational governance and leadership with a score of 5.85 and the lowest dimension was Employee and culture with a score of 3.87. The use of the Importance-performance analysis prioritized the dimension that requires the most attention and resources in the short to-medium term, as the knowledge and information management dimension. The three elements within this dimension with the largest difference in performance and importance is identified as, Management information system and data processing, Enterprise resource planning in terms of databases and software and Technology knowledge management. Their respective readiness scores are 3.44, 4.375 and 3.875. The overall deduction is that the business requires more time, resources and effort as indicated in the results to consider artificial intelligence implementation. Through the conducted literature reviews, it was evident that there is a lack of academic papers, which assist businesses in the implementation and integration of AI into their business, as well as determining a business’ readiness. The process of developing the model is systematically developed, followed and presented. This allows for ease of developments and improvements to the model in the future to assist businesses with the implementation of this continuous changing and evolving technology.