Evaluation of digital innovation in smart homes – based on bibliometrics and rooted theory

Purpose To evaluate the level of digital innovation in the smart home industry. Design/methodology/approach By employing bibliometric analysis and grounded theory, this study aims to assess the innovation capabilities of leading manufacturing enterprises and establish a digital innovation evaluation system for smart homes. Findings Scientific arguments show that the cultivation of innovation capability should focus on three aspects of knowledge innovation, product innovation and technological innovation. Utilizing the four first-level indicators and 15 second-level indicators derived from the previous sections, we conducted TF-IDF (Term Frequency-Inverse Document Frequency) words frequency matching on the annual reports of A-share smart home listed companies. The resulting score for the company across these four primary indicators was then considered as the score for the digital innovation level indicator. Originality/value The evaluation system includes first-level indicators such as technological innovation, production innovation, management innovation and sales innovation and second-level indicators such as digital technology, intelligent manufacturing, industrial Internet, green intelligent manufacturing, flexible robot production and cross-border integration, which provides smart home enterprises with a reference to understand the level of digital innovation, improve the deficiencies and promote the development of the smart home industry.

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Publication Details

Journal
Journal of Internet and Digital Economics
Published
2024-09-26
DOI
https://doi.org/10.1108/jide-05-2024-0021
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of digital innovation in smart homes – based on bibliometrics and rooted theory

Xiaodong Nie, Shaozhen Zhou, Wenfan Yu
Journal of Internet and Digital Economics
FinTech, Crowdfunding, Digital Finance
article

Evaluation of digital innovation in smart homes – based on bibliometrics and rooted theory

Xiaodong Nie, Shaozhen Zhou, Wenfan Yu
article en

Abstract

Purpose To evaluate the level of digital innovation in the smart home industry. Design/methodology/approach By employing bibliometric analysis and grounded theory, this study aims to assess the innovation capabilities of leading manufacturing enterprises and establish a digital innovation evaluation system for smart homes. Findings Scientific arguments show that the cultivation of innovation capability should focus on three aspects of knowledge innovation, product innovation and technological innovation. Utilizing the four first-level indicators and 15 second-level indicators derived from the previous sections, we conducted TF-IDF (Term Frequency-Inverse Document Frequency) words frequency matching on the annual reports of A-share smart home listed companies. The resulting score for the company across these four primary indicators was then considered as the score for the digital innovation level indicator. Originality/value The evaluation system includes first-level indicators such as technological innovation, production innovation, management innovation and sales innovation and second-level indicators such as digital technology, intelligent manufacturing, industrial Internet, green intelligent manufacturing, flexible robot production and cross-border integration, which provides smart home enterprises with a reference to understand the level of digital innovation, improve the deficiencies and promote the development of the smart home industry.

Journal of Internet and Digital EconomicsVol. 4(3)
Guangdong University of Technology (CN), Guangdong University Of Finances and Economics (CN)
Guangdong University of Technology
Openalex Percentile: Top 75%
FinTech, Crowdfunding, Digital Finance
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Evaluation of digital innovation in smart homes – based on bibliometrics and rooted theory — Xiaodong Nie, Shaozhen Zhou, et al. · Journal of Internet and Digital Economics (2024) | TGRS Research Map | TGRS