Empirical Impact of AI and IoT on Performance Management: A Review

Pp: 99-111 (13)

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Abstract

Purpose: In general, the role of AI and IoT in increasing the performance level of businesses has been discussed here to establish understandable data with several objectives regarding future potentials, business growth, and relevant challenges. Therefore, how different industrial businesses are using these two variables in their workplace cultures have been prioritized in the entire study.

Research: Method: Secondary qualitative research method has been followed throughout the review work by aligning the systematic review and thematic analysis to get a clear overview of the topic. All the data have been collected between the published year- 2017- 2021 based on several inclusion criteria for numerous relevant measures. The researcher has counted on all essential methodological tools such as positivism philosophy, descriptive design, and deductive approach to make the study reliable.

Findings: The business sector units are focusing on their various departmental improvements such as Human Resources, supply chain, logistics, data transfer, etc. and others have been found to work efficiently with the help of AI and IoT automation sensors' productivity. Furthermore, it has been proved that the selection of topics has been beneficial to get expected findings by using various journals in similar regard.

Conclusion: Hence, the conclusion section has illustrated how efficiently the researcher achieved the knowledge of the topic by focusing on its various relatable factors to improve the performances in businesses. Researching such a topic based on the current global scenario is found advantageous to move with the interest for further studies.

Keywords: AI, IoT, Industrial growth , Performance management , Technologies.

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