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Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data Science

Author

Listed:
  • Himadri Sikhar Khargharia

    (Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne 3122, Australia
    These authors contributed equally to this work.)

  • Muhammad Habib ur Rehman

    (Biomedical Engineering Department, King’s College London, London WC2R 2LS, UK
    These authors contributed equally to this work.)

  • Abhik Banerjee

    (Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne 3122, Australia
    These authors contributed equally to this work.)

  • Federico Montori

    (Department of Computer Science and Engineering, University of Bologna, 40126 Bologna, Italy
    These authors contributed equally to this work.)

  • Abdur Rahim Mohammad Forkan

    (Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne 3122, Australia
    These authors contributed equally to this work.)

  • Prem Prakash Jayaraman

    (Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne 3122, Australia
    These authors contributed equally to this work.)

Abstract

According to KPMG, Internet of Things (IoT) technology was among the top 10 technologies of 2019. It has been growing at a significant pace, influencing and disrupting several application domains. It is expected that by 2025, 75.44 billion devices will be connected to the Internet. These devices generate massive amounts of data which, when harnessed using the power of data science (DS) techniques and approaches such as artificial intelligence (AI) and machine learning (ML), can provide significant benefits to economy, society, and people. Examples of areas that are being disrupted are digital marketing and retail commerce services in smart cities. This paper presents a vision for Marketing 4.0 that is underpinned by disruptive digital technologies such as IoT and DS. We present an analysis of the current state of the art in IoT and DS via the three pillars of marketing: namely, people, products, and places. We propose a blueprint architecture for developing a Marketing 4.0 solution that is underpinned by IoT and DS. We conclude the paper by highlighting the open challenges that need to be addressed in order to realise the Marketing 4.0 blueprint architecture, including supporting the integration of IoT data concerning people, products, and places and using DS to make efficient and effective recommendations.

Suggested Citation

  • Himadri Sikhar Khargharia & Muhammad Habib ur Rehman & Abhik Banerjee & Federico Montori & Abdur Rahim Mohammad Forkan & Prem Prakash Jayaraman, 2023. "Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data Science," Societies, MDPI, vol. 13(4), pages 1-15, April.
    • Handle: RePEc:gam:jsoctx:v:13:y:2023:i:4:p:100-:d:1120290
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    References listed on IDEAS

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    1. Caro, Felipe & Sadr, Ramin, 2019. "The Internet of Things (IoT) in retail: Bridging supply and demand," Business Horizons, Elsevier, vol. 62(1), pages 47-54.
    2. Jasmine Kaur & Vernika Arora & Shivani Bali, 2020. "Influence of technological advances and change in marketing strategies using analytics in retail industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(5), pages 953-961, October.
    3. Steven D. Silver, 2018. "Multivariate methodology for discriminating market segments in urban commuting," Public Transport, Springer, vol. 10(1), pages 63-89, May.
    4. Nataša Đurđević & Aleksandra Labus & Dušan Barać & Miloš Radenković & Marijana Despotović-Zrakić, 2022. "An Approach to Assessing Shopper Acceptance of Beacon Triggered Promotions in Smart Retail," Sustainability, MDPI, vol. 14(6), pages 1-25, March.
    5. MD Sarwar-A Alam & Daoping Wang & Abdul Waheed, 2019. "Impact of Digital Marketing on Consumers' Impulsive Online Buying Tendencies With Intervening Effect of Gender and Education: B2C Emerging Promotional Tools," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(3), pages 44-59, July.
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