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Generating Marketing Outcomes through Internet of Things (IoT) Technologies

Author

Listed:
  • Beenish Tariq

    (NUST Business School, National University of Sciences and Technology, Islamabad 44000, Pakistan)

  • Sadaf Taimoor

    (Institute of Business Administration (IBA), Karachi 75270, Pakistan)

  • Hammad Najam

    (Independent Researcher, Islamabad 44000, Pakistan)

  • Rob Law

    (School of Hotel and Tourism Management, The Hong Kong Polytechnic University, TSE East, Kowloon, Hong Kong, China)

  • Waseem Hassan

    (NUST Business School, National University of Sciences and Technology, Islamabad 44000, Pakistan)

  • Heesup Han

    (College of Hospitality and Tourism Management, Sejong University, 98 Gunja-Dong, Gwanjin-Gu, Seoul 143-747, Korea)

Abstract

This paper highlights the effectiveness of data stored from the operational use of Internet of Things (IoT) technologies for generating marketing-related outcomes, such as business intelligence for product development, product support, and customer relationship management (CRM), by exploring this research domain under the lens of the well-established means–ends theory. This study conducted a multidisciplinary literature review to develop the conceptual framework. Moreover, a smart refrigerator was chosen as an example to demonstrate how the analysis of data stored from the operational use of IoT devices can help generate marketing outcomes such as new product development, customer support, and CRM. The study articulates that IoT technology helps in furthering the objectives of CRM along with other strategies of business growth and success. Using a practical example backed by a sound theoretical framework, this study will not only help practitioners to empirically test this significant yet under-explored topic but will also help elucidate that, by embedding IoT devices in their products, business managers can ensure business longevity. Furthermore, it explains how the IoT can provide support to improve communication ties between the product manufacturer and consumer through product support and CRM strategies.

Suggested Citation

  • Beenish Tariq & Sadaf Taimoor & Hammad Najam & Rob Law & Waseem Hassan & Heesup Han, 2020. "Generating Marketing Outcomes through Internet of Things (IoT) Technologies," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9670-:d:447904
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    References listed on IDEAS

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    1. Nishikawa, Hidehiko & Schreier, Martin & Ogawa, Susumu, 2013. "User-generated versus designer-generated products: A performance assessment at Muji," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 160-167.
    2. Lo, Fang-Yi & Campos, Nayara, 2018. "Blending Internet-of-Things (IoT) solutions into relationship marketing strategies," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 10-18.
    3. Pantano, Eleonora & Servidio, Rocco, 2012. "Modeling innovative points of sales through virtual and immersive technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 279-286.
    4. Jinkyung Jenny Kim & Kwangyong Kim & Jinsoo Hwang, 2019. "Self-Enhancement Driven First-Class Airline Travelers’ Behavior: The Moderating Role of Third-Party Certification," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    5. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    6. Yuanbin Wang & Yuan Lin & Ray Y. Zhong & Xun Xu, 2019. "IoT-enabled cloud-based additive manufacturing platform to support rapid product development," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3975-3991, June.
    7. Althuizen, Niek & Wierenga, Berend & Chen, Bo, 2016. "Managerial Decision-Making in Marketing: Matching the Demand and Supply Side of Creativity," Journal of Marketing Behavior, now publishers, vol. 2(2-3), pages 129-176, December.
    8. Jinsoo Hwang & Seong Ok Lyu & Sun-Bai Cho, 2019. "In-Flight Casinos, Is It Really a Nonsensical Idea? An Exploratory Approach Using Different Choice Experiments," Sustainability, MDPI, vol. 11(11), pages 1-16, May.
    9. Weinberg, Bruce D. & Milne, George R. & Andonova, Yana G. & Hajjat, Fatima M., 2015. "Internet of Things: Convenience vs. privacy and secrecy," Business Horizons, Elsevier, vol. 58(6), pages 615-624.
    10. Jinsoo Hwang & Insin Kim & Muhammad Awais Gulzar, 2020. "Understanding the Eco-Friendly Role of Drone Food Delivery Services: Deepening the Theory of Planned Behavior," Sustainability, MDPI, vol. 12(4), pages 1-12, February.
    11. V. Kumar & Ashutosh Dixit & Rajshekar (Raj) G. Javalgi & Mayukh Dass, 2016. "Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 24-45, January.
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    Cited by:

    1. Ravneet Kaur & Rajesh Singh & Anita Gehlot & Neeraj Priyadarshi & Bhekisipho Twala, 2022. "Marketing Strategies 4.0: Recent Trends and Technologies in Marketing," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    2. Hamed Nozari & Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr, 2021. "The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry," Future Internet, MDPI, vol. 13(10), pages 1-18, October.
    3. Andrea Mauro & Andrea Sestino & Andrea Bacconi, 2022. "Machine learning and artificial intelligence use in marketing: a general taxonomy," Italian Journal of Marketing, Springer, vol. 2022(4), pages 439-457, December.

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