Grey evaluation empirical study based on center-point triangular whitenization weight function of Jiangsu Province industrial technology innovation strategy alliance

2014 ◽  
Vol 4 (1) ◽  
pp. 124-136 ◽  
Author(s):  
Yu Zhang ◽  
Jie Ni ◽  
Jian Liu ◽  
Li-rong Jian
Keyword(s):  
Weight Function ◽  
Strategic Alliances ◽  
Evaluation Method ◽  
Technology Innovation ◽  
Preliminary Investigation ◽  
Jiangsu Province ◽  
Innovation Strategy ◽  
Industrial Technology ◽  
Content Type ◽  
Center Point

Purpose – This paper aims to investigate the performance of Jiangsu Province industrial technology innovation strategy alliance. Design/methodology/approach – Through a preliminary investigation of 30 Jiangsu industrial technology innovation strategic alliances, this paper analyzed the status and extracted 18 alliances to conduct an in-depth investigation. By grey evaluation method based on center-point triangular whitenization weight function, the paper classified and analyzed alliances. Findings – The results show that university or research institutions-oriented alliance perform better, but the government/enterprise-oriented alliance perform diverse, and majority is rated “general”. Originality/value – The paper succeeds in clustering analysis to Jiangsu Province industrial technology innovation strategy alliance with insufficient data. And according to the result of clustering, it analyzes the causes, which provide value information for the sustainable development of Jiangsu Province industrial technology innovation strategy alliance.

A Theory Model of the Existence Stable Measure for the Industrial Technology Innovation Strategy Alliance

2013 ◽  
Vol 401-403 ◽  
pp. 2193-2198
Author(s):  
Zhan Zhang ◽  
Bo Qin ◽  
Wei Dong Hu
Keyword(s):  
Risk Sharing ◽  
Technology Innovation ◽  
Theory Model ◽  
Innovation Strategy ◽  
Industrial Technology ◽  
Entropy Weight ◽  
Stable Measure ◽  
Measure Model ◽  
Entropy Weight Method ◽  
Questionnaire Method

This paper aims to establish a existence stable measure model. Use Alliance building, partner selection, the benefit and risk sharing, legal guarantee and policy guidance for one class index. Looking for data sources by Delphi method and questionnaire method and using the entropy weight method to Process those data. Through the model application can sum up the developing experience and provide reference for the Industrial technology innovation strategy alliances future development

Study on coordination of industrial technology ambidextrous innovation in knowledge ecology spiral

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pan Liu ◽  
Yue Long
Keyword(s):  
Technology Innovation ◽  
Coordination Mechanism ◽  
Volterra Model ◽  
Industrial Technology ◽  
Input Output ◽  
Profit Model ◽  
Content Type ◽  
Spiral Model ◽  
Knowledge Ecology ◽  
Innovation Chain

Purpose Knowledge input development and innovation implementation are new features of industrial technology innovation. The purpose of this study is to find the process of coordination and ecological spiral in the ambidextrous innovation of industrial technology. Design/methodology/approach To design the model of industrial technology ambidextrous innovation based on knowledge ecology spiral, an input-output model of knowledge for ambidextrous innovation and a spiral model of knowledge ecology were constructed based on an improved Lotka-Volterra model. Then, the equilibriums in different knowledge inputs and the spiral evolution of knowledge ecology were analyzed. Finally, the ambidextrous coordination mechanism of the core organization was revealed. Findings By coordinating the knowledge inputs and the knowledge ecology spiral, enterprises extend the R&D investments in the innovation chain, which will facilitate the knowledge inputs of the exploitative and exploratory innovation. Implementing the ambidextrous coordination in the technology innovation chain and the knowledge ecology chain has the advantage of promoting knowledge inputs, mobility and ecological spiral. Meanwhile, it can achieve the “multi-source, integration and coordination” development of industrial technology innovation. Originality/value The two-element innovative knowledge input coordination model and the knowledge ecological spiral model based on the improved Lotka-Volterra model are constructed, which extends the modeling way of the traditional knowledge input-output profit model. It is expected to reduce the amount of knowledge input of a single member and provide theoretical reference for improving the efficiency of knowledge input by constructing the inter-dependent regenerative and inter-generative knowledge interaction.

Driving force of industrial technology innovation: coevolution of multistage overseas M&A integration and knowledge network reconfiguration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Feiqiong Chen ◽  
Jieru Zhu ◽  
Wenjing Wang
Keyword(s):  
Structural Equation Models ◽  
Technology Innovation ◽  
Knowledge Network ◽  
Industrial Technology ◽  
Network Reconfiguration ◽  
Content Type ◽  
Integration Degree ◽  
The Impact ◽  
Initial Knowledge ◽  
Practical Implications

Purpose The purpose of the paper is to examine the coevolutionary dynamics between multistage overseas mergers and acquisitions (M&A) integration and knowledge network reconfiguration and the impact of this coevolution on industrial technology innovation. Design/methodology/approach This paper builds a coevolution analysis framework in stages and constructs structural equation models for empirical tests using the Chinese technology-sourcing overseas M&A events that occurred from 2001 to 2012. Findings Overseas M&A integration and knowledge network reconfiguration are in a coevolutionary relationship, driving industrial technology innovation. The acquirer adopts initial integration degree that matches the resource relatedness between the acquiring and acquired parties, promoting initial industrial technology innovation through initial knowledge network reconfiguration. Initial knowledge network reconfiguration will feed back to the M&A integration decision in the mid-to-late stage through increasing knowledge similarity and narrowing network position difference. The higher the improvement of mid-to-late integration degree, the more it can drive mid-to-late industrial technology innovation through mid-to-late knowledge network reconfiguration. Research limitations/implications Future research can accurately classify overseas M&A integration stages through case tracking and explore other network attributes. Practical implications Practical guidelines are provided for managers on how to implement a multistage overseas M&A integration strategy, optimize knowledge network reconfiguration and promote industrial technology innovation. Significant practical implications are presented, especially in academia, society and quality of life. Originality/value Different from the previous research considering M&A integration as a single-stage decision, this paper emphasizes the dynamics of the M&A integration process and explores the coevolution mechanism of multistage overseas M&A integration and knowledge network reconfiguration.

Grey clustering evaluation of urban low-carbon transport development based on triangular whitenization weight function

2015 ◽  
Vol 5 (3) ◽  
pp. 278-289 ◽  
Author(s):  
Jun Guo ◽  
Xi Zhao ◽  
Yimin Huang
Keyword(s):  
Weight Function ◽  
Evaluation Model ◽  
Low Carbon ◽  
Content Type ◽  
Carbon Policy ◽  
Five Dimensions ◽  
Center Point ◽  
Grey Clustering ◽  
Transport Management ◽  
Carbon Transport

Purpose – The purpose of this paper is to establish a grey clustering evaluation model based on center-point triangular whitenization weight function to evaluate the situation of urban low-carbon transport development (LTD). The study results intend to provide some theoretical basis and tool support for transport management departments and related researchers who are engaged in low-carbon transport (LT). Design/methodology/approach – The study uses analytical hierarchy process based on expert investigations to determine the weight of each criteria, classifies the grey clusters based on center-point triangular whitenization weight function, calculates the membership of each development criteria and ranks the development level of all dimensions. Findings – The research results of case city show that low-carbon technology is in “poor” level, transport facility is in “superior” level, low-carbon policy and environmental coordination is in “intermediate” level, transport management is in “good” level and the overall LTD level is in “intermediate” level. Practical implications – Reducing the carbon emissions of urban transport and achieving LT is the key to promote urban sustainable development, the scientific judgment of transport development situation is the premise of promoting LTD. Therefore, based on the practices of LT in China, the study systematically clarifies LTD from five dimensions of reflecting LTD. Originality/value – From the perspective of sustainable development, the evaluation index system of LTD is built with five dimensions consisting of low-carbon technology, low-carbon policy, transport facility, transport management and environmental coordination. Then assess the LTD by using the grey clustering evaluation model based on center-point triangular whitenization weight. This paper presents a new research idea for LTD evaluation.

Grey clustering evaluation based on triangular whitenization weight function of enterprise's management innovation performance

2014 ◽  
Vol 4 (3) ◽  
pp. 436-446 ◽  
Author(s):  
Tianbo Li ◽  
Ershi Qi ◽  
Yimin Huang
Keyword(s):  
Weight Function ◽  
Evaluation Model ◽  
Performance Level ◽  
Production Performance ◽  
Performance Criteria ◽  
Management Innovation ◽  
Content Type ◽  
Five Dimensions ◽  
Center Point ◽  
Grey Clustering

Purpose – The purpose of this paper is to attempt to establish a grey clustering evaluation model of center-point triangular whitenization weight function to measure the performance of enterprise's management innovation (MI). The author intends to provide some theory basis and tool support for enterprise's managers and other researchers who are engaged in performance measuring. Design/methodology/approach – The study uses questionnaire survey and expert interviews to determine the index weight of enterprise's MI performance (MIP), classifies the grey clusters based on center-point triangular whitenization weight function, calculates the membership of performance criteria and ranks the performance level of all dimensions. Findings – The survey data of case company shows that production performance is in superior level, employee and society influence performance are in satisfied level, finance and market performance are in intermediate level, total MIP is in satisfied level. Practical implications – MI is the fundamental way to keep enterprise's core competitiveness and achieve its strategic objectives. Performance is an effective tool to measure the MI. Therefore, based on the practices of MI in China, the study systematically clarifies the performance level of MI from five dimensions. Originality/value – The evaluation index of enterprise's MIP is built with five dimensions which contain production, market, finance, employee and social influence. The grey clustering evaluation model based on triangular whitenization weight function is applied to assess the performance criteria. This paper presents a new research idea for enterprise's performance evaluation.

scholarly journals An uncertain programming model for preventive maintenance scheduling

2017 ◽  
Vol 7 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Hamed Maleki ◽  
Yingjie Yang
Keyword(s):  
Preventive Maintenance ◽  
Design Methodology ◽  
Evaluation Method ◽  
Programming Model ◽  
Maintenance Scheduling ◽  
Weight Functions ◽  
Uncertain Programming ◽  
Content Type ◽  
Center Point ◽  
Grey Systems Theory

Purpose The purpose of this paper is to illustrate an uncertain programming model for scheduling of preventive maintenance (PM) actions. The PM scheduling, in which PM actions are performed under fixed intervals, is solved by grey systems theory. Design/methodology/approach The paper applied the grey evaluation method based on triangular whitenization weight functions which includes two classes: endpoint evaluation method and center-point evaluation method. Findings Two methods give the same results based on endpoint and center-point triangular whitenization weight functions. For validation, the results were compared by Cassady’s method. Originality/value The scheduling of PM is crucial in reliability and maintenance engineering. Hundreds of parts compose complex machines that require replacement and/or repairing. It is helpful to reduce the outage loss on frequent repair/replacement parts and avoid lack of maintenance of the equipment by controlling the equipment maintenance frequency.

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