Impact of the synergy between technology management and technological capability on new product development:a system dynamics approach

This paper employs system dynamics to explore how the synergy between technology management and technological capability affects new product development.The results show that the synergy between technology management and technological capability has positive impact on new product development.Moreover, the leading synergy processes between technology management and technological capability in different new product development stages are different.This paper deepens the theoretical understanding of how to achieve new product development, and also provides useful guidance for firms to implement new product development.

Evolution of technology management system based on self-organization theory

Industrial and academic interest in how to effectively manage technology resources is increasing as it becomes more and more important.Effective managing of technology resources depends on technology management system,and thus understanding how such system evolves becomes an ongoing research topic.Based on the self-organization theory,this paper constructs an evolution model of technology management system.The simulation results show that the evolution of each of the technology management subsystem is affected by the knowledge growth rate of its own,and it is also affected by the coupling and synergy relationship with other subsystems.Moreover,the coupling and synergy relationship can make the speed of evolution higher than the knowledge growth rate of the subsystem itself.

Volunteering and Depression among Older Adults: An Empirical Analysis Based on CLASS 2018

Introduction:Older adults are prone to high levels of depression due to their deteriorating physical functions and shrinking social networks after retirement.Volunteering as an important social activity is essential for alleviating depression by building social network.This paper aims to examine the effect of volunteering on depression among older adults by using China Longitudinal Aging Social Survey(CLASS 2018)data.Methods:This study uses descriptive analysis and chi-square tests to show differences in demographic factors of older adults’volun-teerism participation,followed by bivariate correlation analysis to examine the correlation between the vital vari-ables.Afterward,stratified linear regression analysis is used to research the significant level and impact between volunteering and degree of expertise,frequency,and variety of participation.Results:8,459 older adults are included in study.The research reveals that older adults who are younger,live in urban areas,are married,or have a higher degree of education tend to have fewer depressive symptoms.Meanwhile,participation in volun-teering(OR=0.90,95%CI:0.8,1.1,p<0.001),as well as that demands specialized skills(OR=0.51,95%CI:0.30,0.2,p<0.001),more frequency of participation(OR=1.85,95%CI:1.53,2.18,p<0.001),and a wider variety of activities(OR=0.21,95%CI:0.12,0.29,p<0.001),all have a positive influence on depression levels.Discussion/Conclusion:Older adults who participate in voluntary services have lower depression symptoms and should be encouraged to use their professional skills and increase participation frequency and variety in this process.This article suggests that governments should help older adults participate in voluntary services by time bank which will further strengthen social ties,rebuild social networks and alleviate depression symptoms of older adults.

A model for knowledge transfer in a multi-agent organization based on lattice kinetic model

A study on knowledge transfer in a mutli-agent organization is performed by applying the basic principle in physics such as the kinetic theory.Based on the theoretical analysis of the knowledge accumulation process and knowledge transfer attributes,a special type of knowledge field(KF)is introduced and the knowledge diffusion equation(KDE)is developed.The evolution of knowledge potential is modeled by lattice kinetic equation and verified by numerical experiments.The new equation-based modeling developed in this paper is meaningful to simulate and predict the knowledge transfer process in firms.The development of the lattice kinetic model(LKM)for knowledge transfer can contribute to the knowledge management theory,and the managers can also simulate the knowledge accumulation process by using the LKM.