WEAR Sustain Network: Ethical and Sustainable Technology Innovation in Wearables and Etextiles

2018 ◽  
Author(s):  
Lizbeth Goodman ◽  
Camille Baker ◽  
Nick Bryan-Kinns ◽  
Yongmeng Wu ◽  
Sankun Liu ◽  
...  
Keyword(s):  
Technology Innovation ◽  
Sustainable Technology

scholarly journals Sustainable Technology Innovation Path Recognition: An Evaluation of Patent Risk of International Trade

2019 ◽  
Vol 11 (18) ◽  
pp. 5002 ◽  
Author(s):  
Zhang ◽  
Ma ◽  
Liu ◽  
Wang
Keyword(s):  
International Trade ◽  
Patent Protection ◽  
Technology Innovation ◽  
Evaluation Model ◽  
Entropy Method ◽  
Systematic Evaluation ◽  
Analytic Hierarchy ◽  
Sustainable Technology ◽  
Commercial Activities ◽  
Prior Literature

Patent protection is a critical aspect of sustainable technology innovation, which is currently facing the challenge of patent risk. This study aimed to help enterprises prevent and avoid patent risk in a global view of technology innovation, and to propose a systematic evaluation model for patent risk. By combining the entropy method with the analytic hierarchy process (AHP), this study constructed an analytic hierarchy model of patent risk. Some indexes in the model were selected based on the summary of prior literature, and other indexes were selected according to experts’ communication, which helped us to generalize the patent risk as comprehensively as possible. The AHP evaluation results determined the weight and relative materiality for each risk factor, which were contained in a criteria layer and a sub-criteria layer. The entropy method integrated the evaluation weights of different experts’ opinions. By dividing the risk factors into three categories, namely “high”, “medium”, or “low”, according to the priority degree, the risk priority ranking was obtained. Suggestions are discussed regarding support for enterprises in dealing with patent risk that may occur during international trade or other commercial activities.

scholarly journals Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis

2020 ◽  
Vol 12 (20) ◽  
pp. 8664
Author(s):  
Ben Zhang ◽  
Lei Ma ◽  
Zheng Liu
Keyword(s):  
Path Analysis ◽  
Technology Innovation ◽  
Relevant Literature ◽  
Citation Network ◽  
Development Trend ◽  
Research Literature ◽  
Future Research ◽  
Sustainable Technology ◽  
Main Path ◽  
Main Path Analysis

In the past 20 years, there have been increasingly more studies on sustainable technology innovation (STI), possessing a significance for sustainable development. This paper aims to provide a research landscape, since the systematic understanding of STI is still inadequate. Through bibliometric analysis, it explores the literature distribution characteristics and the literature citation network. Based on the relevant literature data in the Web of Science (WOS), the study visually analyzes the development trend, topic distribution, burst literature, and co-citation network of the research literature, and extracts the evolution path of literature citation by using the main path analysis method. Through the analysis of co-citation and main path, 13 clusters in the co-citation network are found, which are further extracted as the main path network containing 82 nodes. Furthermore, this paper summarized the bibliometric landscape and discussed the frontier STI research topics. The comprehensive framework contributes to the understanding of STI themes and identifying future research agenda.

Analysis of Sustainable Technology Innovation Benefits Based on Symbiosis Theory

2013 ◽  
Vol 869-870 ◽  
pp. 898-902
Author(s):  
Zhi Jin Xu ◽  
Yan Kui Song
Keyword(s):  
Social Responsibility ◽  
Natural Environment ◽  
Technology Innovation ◽  
Human Being ◽  
Ecological Benefits ◽  
Sustainable Technology ◽  
General Benefit

Modern enterprises technology innovation increasingly pursues a balance between profits and social responsibility, and it reaps the comprehensive benefits at its best. This technology innovation should be economical, amicable, human and ecological, in a word, sustainable. Based on the symbiosis theory, the essay defines sustainable technology innovation and preliminarily analyzes the composition of sustainable technology innovation benefits and its accounting methods. The author thinks sustainable technology innovation is compatible, integrated and symbiotic with science & technology, economy, society, human being and natural environment, and then it can reap continuously the comprehensive benefits composed of scientific & technological, economic, social, human and ecological benefits. Therefore, the author further proposes a general benefit accounting method of sustainable technology innovation according to the weak, strong and welfare accounting, which is also comprehensive. It is of strategic significance to realize and grasp the benefit accounting methods.

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

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