We give a complete group classification of the general case of linear systems of two second-order ordinary differential equations. The algebraic approach is used to solve the group classification problem for this class of equations. This completes the results in the literature on the group classification of two linear second-order ordinary differential equations including recent results which give a complete group classification treatment of such systems. We show that using the algebraic approach leads to the study of a variety of cases in addition to those already obtained in the literature. We illustrate that this approach can be used as a useful tool in the group classification of this class of equations. A discussion of the subsequent cases and results is given.

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Decision-making is a complex process that significantly impacts an organization's success. In order to enhance the effectiveness of decision-making, organizations need to consider multiple perspectives, expertise, and experiences. Artificial Intelligence (AI) has received considerable attention from Information Systems (IS) research. Drawing from the General Systems Theory (GST), this qualitative study aims to examine the interplay between AI and decision-making and to identify the barriers and enablers of AI adoption in a South African organization. The data collection was guided by the findings from the literature review followed by a single case study approach using semi-structured interviews as the primary data source. A thematic analysis technique using NVivo software was adopted to facilitate the analysis process by grouping the findings into main themes. This research has identified the following barriers and enablers of AI adoption themes: efficiency, system capability, red tape, business support, job security, staff involvement, and accountability.

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