Transforming into Smart Business: The Role of Artificial Intelligence

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Future of Organizations and Work After the 4th Industrial Revolution

Abstract

Artificial Intelligence (AI) is the peak of the fourth industrial revolution, since it is implemented in various business activities such as HR, supply chain management, manufacturing, e-Commerce, marketing, and corporate finance. Several AI tools were presented in this chapter to shed the light on how such technologies can be implemented to improve organizational predictive capability and boost business performance. Thus, organizations are urged to implement AI systems to overcome forceful threats, as AI augments BI to achieve competitive advantages. Unescapably, AI transformation requires changes in both the individual and the collective mindsets in organizations. This chapter proposes an AI business model, named SHAM, to guide organizations in emerging countries towards AI-driven business transformation. Since the current study is descriptive in nature, the SHAM model was built based on an extensive literature review using the Comprehensive Literature Review Meta-Framework of the seven step model (CLR Meta-Framework). The SHAM model adapts the Sense-Think-Act paradigm which is a broad roadmap in robotics research to fit the business context. The Sense step is to conceptualize the organizational direction towards the new AI-driven entity; the Think step is to build a solid strategy for the AI transformation; and the Act step is to implement the strategy to reach the desired smart business. The model is conceived to empower organizations to transform into smart businesses to achieve competitive advantage, adaptation to the environment, and success.

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Correspondence to Hussam F. Abushawish .

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Abushammala, S.N.M., Abushawish, H.F., Jalambo, M.O., Maghari, A.Y. (2022). Transforming into Smart Business: The Role of Artificial Intelligence. In: Hamdan, A., Harraf, A., Arora, P., Alareeni, B., Khamis Hamdan, R. (eds) Future of Organizations and Work After the 4th Industrial Revolution. Studies in Computational Intelligence, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-99000-8_5

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