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.

Incentive strategy about technology innovation based on knowledge ecological coupling in strategic emerging industry

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Long ◽  
Lang Lu ◽  
Pan Liu
Keyword(s):  
Technology Innovation ◽  
Volterra Model ◽  
Principal Agent ◽  
Profit Model ◽  
Content Type ◽  
Agent Model ◽  
Coupling Relationship ◽  
Principal Agent Model ◽  
Low Efficiency ◽  
Innovation Chain

PurposeThe purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.Design/methodology/approachFirst, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.FindingsThus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).Originality/valueThis paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

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.

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.

Socioeconomic effects of pension spending: evidence from Spain

2020 ◽  
Vol 47 (5) ◽  
pp. 599-617
Author(s):  
Fernando Bermejo ◽  
Eladio Febrero ◽  
Andre Fernandes Tomon Avelino
Keyword(s):  
Peer Review ◽  
Social Protection ◽  
Pension System ◽  
Decomposition Analysis ◽  
Value Added ◽  
Total Output ◽  
Alternative View ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Content Type

PurposeThe purpose of this study is to provide broader understanding of the significant role that the pension system has in the Spanish economy by estimating the sectoral production, employment and income sustained by pensioners' consumption.Design/methodology/approachBased on input–output tables by the World Input–Output Database and consumption data from the Household Budget Survey by the Spanish Statistical Office, a demoeconomic model is applied to quantify the direct impacts, indirect impacts from interindustry links and induced impacts from income–consumption connections over a nine-year period (2006–2014). Then, the factors driving the evolution of total output, employment and value added during such period have been examined by using structural decomposition analysis.FindingsThe growing participation of consumption by pensioner households in final demand had proven crucial during the 2008 crisis to alleviate the negative trend in production and employment derived from the collapse in consumption suffered by the rest of households.Practical implicationsDetermining the underlying factors driving changes in both employment and income during the 2008 crisis can be of interest in political decision-making on the sustainability of the Spanish pension system.Social implicationsThe results of estimating both the employment and income supported by pensioners' consumption reveal the significant stabilizing effect of the public spending on pensions, particularly during the 2008 crisis.Originality/valueThe current Spanish approach of attaining the pension system sustainability by merely reducing social protection costs ignores the adverse consequences of a lower pensioners' demand. This paper addresses an alternative view in which pension spending is not considered a burden on economic growth but rather a means of improving the level of production and employment.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2019-0047

Vendors’ team performance in software outsourcing projects

2014 ◽  
Vol 5 (3) ◽  
pp. 290-308 ◽  
Author(s):  
Gang Qu ◽  
Lishan Shen ◽  
Xiaona Bao
Keyword(s):  
Knowledge Transfer ◽  
Team Performance ◽  
Structural Equation ◽  
Project Success ◽  
Negative Impact ◽  
Positive Impact ◽  
Coordination Mechanism ◽  
Software Project ◽  
Content Type ◽  
Software Outsourcing

Purpose – The purpose of this paper is to study how the software outsourcing teams, namely, vendors, transfer effective knowledge to enhance team performance; it reports on a study of transactive memory system (TMS) theory and makes deep analyses and discussions about the influence of the cooperative behaviors of TMS on software outsourcing team’s performance under the framework of three behavioral characteristics dimensions – specialization, credibility and coordination. Design/methodology/approach – This paper is an empirical study based on investigation interviews to 28 software outsourcing teams and data of questionnaire surveys on 124 software outsourcing teams; structural equation model is used to test the data we collected. Findings – This paper finds that both credibility and coordination have a significantly positive impact on knowledge transfer and project success, whereas specialization has a significant negative impact on project success. The results of data analysis show that TMS is an effective coordination mechanism. Originality/value – The conclusion of the study can help us understand the coordination mechanism of knowledge transfer in software outsourcing team and provide theoretical support and paradigm reference for vendors in China to accumulate knowledge and improve the success rate of projects in the context of software project development.

To nurture transformational technology, build a community like Sam Walton’s

2015 ◽  
Vol 43 (2) ◽  
pp. 41-46 ◽  
Author(s):  
Osvald M. Bjelland ◽  
Robert Chapman Wood
Keyword(s):  
Technological Change ◽  
Design Methodology ◽  
Technology Innovation ◽  
Senior Leaders ◽  
Content Type ◽  
Five Elements ◽  
Innovation Leadership ◽  
Modern Era ◽  
Practical Implications ◽  
Technology Course

Purpose – The authors examine the approach by which Sam Walton, a 48-year-old when he took his first technology course, drove creation of a new set of technology for retailing. Design/methodology/approach – By breaking Walton’s approach into five stages, the authors show how his way of working points to a credible path for leaders with limited background in technology to lead technological change. Findings – Senior leaders can apply Walton’s systematic way of leading for creation of excellent processes to accomplish customer-focused technology innovation in the modern era. Practical implications – Five elements of Walton’s tech innovation leadership are reviewed and analyzed. Originality/value – This article offers insights about how Walton was able to form a tech savvy team of managers and synthesize a vision about the potential of technology to produce operational breakthroughs far in advance of his competition.

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

Driving forces and structural changes of China as a market provider for Korea

2018 ◽  
Vol 22 (3) ◽  
pp. 194-211 ◽  
Author(s):  
Yongqi Feng ◽  
Tianshu Zhang
Keyword(s):  
Steady State ◽  
Driving Force ◽  
Design Methodology ◽  
Structural Changes ◽  
Driving Forces ◽  
Consumption Expenditure ◽  
Input Output ◽  
Content Type ◽  
Fixed Capital Formation ◽  
The Impact

Purpose The purpose of this paper is to provide a better understanding of the driving forces and structural changes of China as a market provider for Korea. This paper gives the answers for the following questions: How do China’s final demands trigger the growth of its imports from Korea? And what’s the impact of China’s final demands on the import in different industries? Design/methodology/approach Based on the Multi-Regional Input-Output model and World Input-Output Table database, this paper constructs the non-competitive imports input-output (IO) table of China to Korea. According to this table, we can calculate the induced imports coefficient and comprehensive induced import coefficients of China’s four final demands for imports from Korea in the 56 industries in China. Findings Among the four driving forces, the strongest one is changes in inventories and valuables. The impact of final consumption expenditure and fixed capital formation is much lower than that of changes in inventories and valuables, but they have a broader impact for the 56 industries. This paper finds out the China’s import induction of the final demands to Korea peaked in 2005 and 2010 and decreased greatly in 2014, so the position of China as market provider for Korea will no longer rise substantially, contrarily it will be in a steady state. Originality/value First, this paper constructs the non-competitive IO table to analyze the market provider issues between two countries and provides practical ways and methods for studies on the issues of imports and market provider. Second, this paper investigates the different roles of four final demands on driving force of China as market provider for Korea and the structural changes of China as a market provider for Korea among 56 industries from 2000 to 2014.

Effects of open innovation breadth on industrial innovation input–output relationships

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alejandro Germán Frank ◽  
Guilherme Brittes Benitez ◽  
Mateus Ferreira Lima ◽  
João Augusto Bonzanini Bernardi
Keyword(s):  
Open Innovation ◽  
Transaction Cost Economics ◽  
Secondary Data ◽  
Moderating Effects ◽  
Input Output ◽  
Industrial Innovation ◽  
Content Type ◽  
Innovation Activities ◽  
Industrial Sectors ◽  
The Relationship

PurposeOpen innovation breadth (OIB) considers the diversity of external collaboration partners for innovation. The authors investigate the moderating effect of OIB on the relationship between industrial innovation activities (innovation inputs) and industrial innovation results (innovation outputs).Design/methodology/approachThis study is based on secondary data from the Brazilian innovation survey, representing more than 30,000 innovative companies across 55 industrial sectors.FindingsThis study’s results show that OIB has different moderating effects regarding the several innovation input–output relationships. While OIB benefits some relationships, others are hampered by the diversity of collaboration partners.Originality/valueFew studies have addressed OIB at the macro level. Using the perspective of transaction cost economics (TCE), the authors discuss the contributions and limitations of OIB at the industry level.

Sign in / Sign up

Export Citation Format

Share Document