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Generating Marketing Outcomes through Internet of Things (IoT) Technologies

Authors: Beenish Tariq; Sadaf Taimoor; Hammad Najam; Rob Law; Waseem Hassan; Heesup Han;

Generating Marketing Outcomes through Internet of Things (IoT) Technologies

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.

Countries
China (People's Republic of), Hong Kong, China (People's Republic of)
Keywords

Environmental effects of industries and plants, relationship management, new product development, TJ807-830, TD194-195, Renewable energy sources, Internet of Things (IoT), Environmental sciences, Internet of things (Iot), Relationship management, Product support, New product development, product support, GE1-350

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
Green
gold