Start Date
11-12-2016 12:00 AM
Description
Research on Internet of Things (IoT) has been booming for past couple of years due to technological advances and its potential for application. Nonetheless, the rapid growth of IoT articles as well as the heterogeneous nature of IoT pose challenges in synthesizing prior research on the phenomenon. Based on quantitative citation analysis, this Research-in-Progress (RIP) study seeks to tackle the abovementioned challenges by reviewing 1,065 IoT articles retrieved from ISI Web of Science. Specifically, we employed HistCite to generate a historiography of IoT research. In turn, the historiography yields a citation network that not only aids us in identifying main paths of codification and diffusion, but also helps in exploring the existence of path-dependent transitions within extant literature. This study hence contributes to both IoT research and practice by tracing the accumulation of knowledge on IoT and pinpointing the most influential ideas to-date on the topic.
Recommended Citation
Liu, Fei; Tan, Chee-Wee; and Lim, Eric, "Synthesizing Knowledge on Internet of Things (IoT): An Algorithmic Historiographical Approach" (2016). ICIS 2016 Proceedings. 11.
https://aisel.aisnet.org/icis2016/GeneralIS/Presentations/11
Synthesizing Knowledge on Internet of Things (IoT): An Algorithmic Historiographical Approach
Research on Internet of Things (IoT) has been booming for past couple of years due to technological advances and its potential for application. Nonetheless, the rapid growth of IoT articles as well as the heterogeneous nature of IoT pose challenges in synthesizing prior research on the phenomenon. Based on quantitative citation analysis, this Research-in-Progress (RIP) study seeks to tackle the abovementioned challenges by reviewing 1,065 IoT articles retrieved from ISI Web of Science. Specifically, we employed HistCite to generate a historiography of IoT research. In turn, the historiography yields a citation network that not only aids us in identifying main paths of codification and diffusion, but also helps in exploring the existence of path-dependent transitions within extant literature. This study hence contributes to both IoT research and practice by tracing the accumulation of knowledge on IoT and pinpointing the most influential ideas to-date on the topic.