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Nexus Analysis: Internet of Things and Business Performance

Author

Listed:
  • Morrisson Kaunda Mutuku

    (School of Business, Kenyatta University, Kenya)

  • Stephen M. A. Muathe

    (School of Business, Kenyatta University, Kenya)

Abstract

This paper analyses the influence of the Internet of Things (IoT) on business performance guided by the following objectives; assessing the influence of the Internet of things positively on sales and marketing strategies of business; to determine the influence of the Internet of things on resources management in modern businesses and to analyze the influence of the Internet of things on business profitability. The paper conducted exploratory research to study the Impact of IoT data on Business performance was conducted. Through the literature review process recently published papers on IoT and business performance including sales and marketing strategies, resource management profitability was gathered. Research papers, Journals, Internet Sites, and books were used to collate the relevant content on the subject. The analysis conducted by this study indicated that most published studies showed that IoT has huge potential for businesses across many sectors. The data collected through the implementation of IoT provide business with opportunities of increasing efficiency which improves sales and marketing, resource management, growth potential, and profitability. This study recommends that despite the challenges in the development of IoT technologies, it’s an implementation in businesses is inevitable as they seek to increase the performance. Key Words: Internet of Things, Business, Performance, sales, marketing, Profitability

Suggested Citation

  • Morrisson Kaunda Mutuku & Stephen M. A. Muathe, 2020. "Nexus Analysis: Internet of Things and Business Performance," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(4), pages 175-181, July.
    • Handle: RePEc:rbs:ijbrss:v:9:y:2020:i:4:p:175-181
    DOI: 10.20525/ijrbs.v9i4.726
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    References listed on IDEAS

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    1. Oecd, 2016. "New Forms of Work in the Digital Economy," OECD Digital Economy Papers 260, OECD Publishing.
    2. Bertenrath, Roman & Klös, Hans-Peter & Stettes, Oliver, 2016. "Digitalisierung, Industrie 4.0, Big Data," IW-Reports 24/2016, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    3. Oecd, 2016. "Managing Digital Security and Privacy Risk," OECD Digital Economy Papers 254, OECD Publishing.
    4. Ibrahima Amadou Dia, 2016. "Book Review: Digital Methods for Social Science," Sociological Research Online, , vol. 21(3), pages 173-176, August.
    5. Xiaoming Zhu & Bingying Song & Yingzi Ni & Yifan Ren & Rui Li, 2016. "Business Trends in the Digital Era," Springer Books, Springer, number 978-981-10-1079-8, October.
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    Cited by:

    1. Mahmoud Shaban & Mohammed F. Alsharekh, 2022. "Design of a Smart Distribution Panelboard Using IoT Connectivity and Machine Learning Techniques," Energies, MDPI, vol. 15(10), pages 1-17, May.

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