Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Olubiyi, Timilehin Olasoji; Longe, Olumide Babatope; Susela Devi, K. Suppiah; Sinha, Mudita Title A name given to the resource Fostering Artificial Intelligence in Small Businesses in Sub-Saharan Africa Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Contemporary Issues in Entrepreneurship Research;Volume;1;Issue;2; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/S2040-724620250000022003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/S2040-724620250000022003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024795547?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024795547?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Olubiyi T.O., West Midlands Open University, Nigeria, Faculty of Management and Social Sciences, West Midlands Open University, Nigeria; Longe O.B., West Midlands Open University, Nigeria; Susela Devi K.S., Sunway University, Malaysia; Sinha M., Christ University, India Description An account of the resource In the present era, there are numerous consumer data sources, particularly through web services and terminals such as point of sales to better understand customers. More so, it has become challenging to gather and evaluate this vast amount of data manually. This chapter highlights the role of artificial intelligence (AI) in improving relationships with customers and explores the techniques used to analyze customers data in order to predict their demands and reach their satisfaction. The objective of this study was to empirically test the effect of AI on customer satisfaction of selected family-owned businesses listed in Nigeria, the most populous and one of the biggest economies in Africa. This implies that AI is a significant predictor of customer satisfaction. The study suggests that companies should employ AI solutions to improve operational efficiency. Through the implementation of AI, companies can optimize their operations, decrease expenses, and enhance their ability to adapt to market fluctuations and client needs. 2026 Timilehin Olasoji Olubiyi Subject The topic of the resource AI; Business intelligence; business performance; Competition; customer retention; D63; family businesses; L10; L24; L25; M10; Nigeria; O30; O55; Policy; Robots; SMEs; Start-ups Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISSN: 20407246; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online