The Internet-of-Things: Review and research directions
By Irene C. L. Ng, S. Wakenshaw. 2017
534 citations recorded by the source corpus.
This paper presents a review of the Internet-of-Things (IoT) through four conceptualizations: IoT as liquification and density of information of resources; IoT as digital materiality; IoT as assemblage or service system; and IoT as modules, transactions, and service. From the conceptualizations, we provide a definition of IoT and present its implications and impact on future research in Marketing that interfaces with information systems, design and innovation, data science and cybersecurity, as well as organizational studies and economics. By integrating the implications of IoT with extant literature, we then propose a set of priorities for future research in this area.
Subfields: Marketing, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/1e8a315a3a206d48182e1c6c1c736e36da5a08c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Ming-Hui Huang
- Roland T. Rust
- Janet R. Mccoll-Kennedy
- Iis P. Tussyadiah
- Maria Colurcio
- Sandra Maria Correia Loureiro
- Bo Edvardsson
- Ruth N. Bolton
In Strategy and Management
- Ming-Hui Huang
- Jay Kandampully
- Mohamed Ben-Daya
- Roland T. Rust
- Elkafi Hassini
- Zied Bahroun
- Ruth N. Bolton
- Lars Witell
Citations in the corpus
- Artificial Intelligence in Service (2018, unknown): “Self-Table L. Ng and Wakenshaw 2017).”
- “Service Encounter 2.0”: an investigation into the roles of technology, employees and customers (2017, background): “The rapid development of Artificial Intelligence (AI) and corresponding novel digital technologies and devices such as smartphones, advanced robotics, Intelligent Agents and the Internet of Things (IoT) are fundamentally altering the interplay between customers and organizations – thereby changing t”
- Customer experience challenges: bringing together digital, physical and social realms (2018, background): “Ng and Wakenshaw (2017) argued that shifting boundaries due to information flows are likely to transform markets and exchanges, and propose a research agenda for this area.”
- A Systems Perspective on Markets: Toward a Research Agenda (2017, background): “It is anticipated to create disruption in the way markets are currently organized (for a recent review see Ng and Wakenshaw, 2017).”
- Internet of things and supply chain management: a literature review (2019, background): “This can be seen from the many reviews and surveys that appeared in the literature (Atzori, Iera, and Morabito 2010; Miorandi et al. 2012; Xu, He, and Li 2014; Li, Xu, and Zhao 2015; Whitmore, Agarwal, and Xu 2015; Dey et al. 2016; Mishra et al. 2016; Ng and Wakenshaw 2017).”
- Digital transformation: A multidisciplinary reflection and research agenda (2021, unknown): “…press; Wedel & Kannan, 2016) and advent of emerging digital technologies, such as arti fi cial intelligence (AI), blockchain, internet-of-things (IoT), and robotics, are projected to have far-reaching e ff ects on business (Chen, Chiang, & Storey, 2012; Iansiti & Lakhani, 2014; Ng & Wakenshaw, 2017).”
- Digital transformation: Five recommendations for the digitally conscious firm (2020, unknown): “Indeed, some refer to digitized products and services as “socio-cyber-physical of-ferings,” highlighting that value is only extracted through a judicious intertwining of physical, technical, and social systems (Ng & Wakenshaw, 2017).”
- Machine learning and AI in marketing – Connecting computing power to human insights (2020, unknown): “The proliferation of Internet-of-things (IoT) devices and the increasing adoption of consumer wearables are bringing in even richer consumer tracking data, e.g. detailed in-store activities or 24/7 biometrics information (Ng & Wakenshaw, 2017).”
- Frontline Service Technology infusion: conceptual archetypes and future research directions (2019, background): “…Doorn et al. , 2017; Kannan and Li, 2017; Larivière et al. , 2017) or zoomed-in on a particular technology like robotics (e.g. Wirtz et al. , 2018), smart devices and IoT (e.g. Ng and Wakenshaw, 2017; Verhoef et al. , 2017; Wünderlich et al. , 2015) and mobile technologies (Shankar et al. , 2016).”
- Transforming the Customer Experience through New Technologies (2020, background): “From the perspective of the technology, Ng and Wakenshaw (2017) discuss two key features that can create cognitive value.”
- Artificial intelligence in business: State of the art and future research agenda (2020, background): “The integration of neurostimulators and nanochips into the brain enhances the human organism toward transhumanism (Bostrom, 2005a; Bostrom, 2014), and eventual creation of the hybrid humans (e.g., Kumar, Dixit, Javalgi, & Das, 2016; Rust & Kannan, 2002; Ng & Wakenshaw, 2017).”
- A strategic framework for artificial intelligence in marketing (2020, background): “…if they use connected devices (Cooke and Zubcsek 2017), product usage and consumption experience can be visualized with Internet of Things (IoT) (Ng and Wakenshaw 2017), various advanced technologies and analytics can capture unstructured marketing activity data (Balducci and Marinova 2018),…”