Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach

Fei Liu; Chee Wee Tan; Eric T.K. Lim

Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach

Fei Liu
, Chee Wee Tan
, Eric T.K. Lim

Department of Management and Marketing

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2016 International Conference on Information Systems, ICIS 2016
Publisher	Association for Information Systems
ISBN (Electronic)	9780996683135
Publication status	Published - 2016
Event	2016 International Conference on Information Systems, ICIS 2016 - Dublin, Ireland Duration: 11 Dec 2016 → 14 Dec 2016

Publication series

Name	2016 International Conference on Information Systems, ICIS 2016

Conference

Conference	2016 International Conference on Information Systems, ICIS 2016
Country/Territory	Ireland
City	Dublin
Period	11/12/16 → 14/12/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Algorithmic historiography
Citation Analysis
Internet of Things
Main-Path Analysis
Path-Dependent Transitions

ASJC Scopus subject areas

Information Systems

Cite this

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title = "Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach",

abstract = "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.",

keywords = "Algorithmic historiography, Citation Analysis, Internet of Things, Main-Path Analysis, Path-Dependent Transitions",

author = "Fei Liu and Tan, \{Chee Wee\} and Lim, \{Eric T.K.\}",

year = "2016",

language = "English",

series = "2016 International Conference on Information Systems, ICIS 2016",

publisher = "Association for Information Systems",

booktitle = "2016 International Conference on Information Systems, ICIS 2016",

address = "United States",

note = "2016 International Conference on Information Systems, ICIS 2016 ; Conference date: 11-12-2016 Through 14-12-2016",

}

Liu, F, Tan, CW & Lim, ETK 2016, Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach. in 2016 International Conference on Information Systems, ICIS 2016. 2016 International Conference on Information Systems, ICIS 2016, Association for Information Systems, 2016 International Conference on Information Systems, ICIS 2016, Dublin, Ireland, 11/12/16.

Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach. / Liu, Fei; Tan, Chee Wee; Lim, Eric T.K.
2016 International Conference on Information Systems, ICIS 2016. Association for Information Systems, 2016. (2016 International Conference on Information Systems, ICIS 2016).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Synthesizing knowledge on internet of things (IoT)

T2 - 2016 International Conference on Information Systems, ICIS 2016

AU - Liu, Fei

AU - Tan, Chee Wee

AU - Lim, Eric T.K.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Algorithmic historiography

KW - Citation Analysis

KW - Internet of Things

KW - Main-Path Analysis

KW - Path-Dependent Transitions

UR - https://www.scopus.com/pages/publications/85019426235

M3 - Conference article published in proceeding or book

AN - SCOPUS:85019426235

T3 - 2016 International Conference on Information Systems, ICIS 2016

BT - 2016 International Conference on Information Systems, ICIS 2016

PB - Association for Information Systems

Y2 - 11 December 2016 through 14 December 2016

ER -

Synthesizing knowledge on internet of things (IoT): An algorithmic historiographical approach

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this