Assessing eco-technological innovation efficiency using DEA approach: insights from the OECD countries

Mehmood, Khalid; Iftikhar, Yaser; Khan, Ali

doi:10.1007/s10098-022-02378-y

Cited by 6 publications

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This article chooses SPSS19.0 in the selection of research tools. The result shows that a coefficient value is 0.940, which exceeds the minimum standard value [ 29 , 30 ]. Therefore, it can be considered that the questionnaire data in this study has high reliability and meets the required standards, and the questionnaire can be formally investigated.…”

Section: Empirical Analysismentioning

confidence: 99%

Research on risk identification of manufacturing enterprises’ Internet strategic transformation

Honglei,

Zaigham,

Alotaibi

2024

PLoS ONE

View full text Add to dashboard Cite

The Communist Party of China’s 19th National Congress underlined the necessity of speeding the development of a manufacturing powerhouse and advanced manufacturing sector by supporting the deep integration of the Internet, big data, artificial intelligence, and the real economy. This study employed principal component analysis to extract the prominent risk factors from questionnaire data in order to manage the risks connected with the Internet strategic transformation of manufacturing firms. To confirm the major risk factors, a structural equation modeling was created using Amos-24 software. The findings revealed that risk factors of Internet strategic transformation in manufacturing businesses are mostly expressed in equipment flexibility risks, organizational versatility risks, smart technology risks, Internet technology risks, flexible management risks, and financing management risks. The paper offers useful theoretical and practical insights into the risks of China’s manufacturing businesses’ Internet strategic transformation. The findings can assist manufacturing firms in better identifying and managing these risks, supporting their smooth transition to the Internet economy.

show abstract

Section: Empirical Analysismentioning

confidence: 99%