Chinese Firms' Internationalization and Performance on the Basis of Learning Capability

2011 ◽  
Author(s):  
Min Jiang ◽  
Min Xu
Keyword(s):  
Chinese Firms ◽  
Learning Capability ◽  
And Performance

Evaluating the learning and performance characteristics of self-organizing systems with different task features

2021 ◽  
pp. 1-19
Author(s):  
Hao Ji ◽  
Yan Jin
Keyword(s):  
Systematic Evaluation ◽  
Full Potential ◽  
Learning Capability ◽  
Reward Function ◽  
Reward Functions ◽  
Good Learning ◽  
And Performance ◽  
Generation Problem ◽  
Self Organizing

Abstract Self-organizing systems (SOS) are developed to perform complex tasks in unforeseen situations with adaptability. Predefining rules for self-organizing agents can be challenging, especially in tasks with high complexity and changing environments. Our previous work has introduced a multiagent reinforcement learning (RL) model as a design approach to solving the rule generation problem of SOS. A deep multiagent RL algorithm was devised to train agents to acquire the task and self-organizing knowledge. However, the simulation was based on one specific task environment. Sensitivity of SOS to reward functions and systematic evaluation of SOS designed with multiagent RL remain an issue. In this paper, we introduced a rotation reward function to regulate agent behaviors during training and tested different weights of such reward on SOS performance in two case studies: box-pushing and T-shape assembly. Additionally, we proposed three metrics to evaluate the SOS: learning stability, quality of learned knowledge, and scalability. Results show that depending on the type of tasks; designers may choose appropriate weights of rotation reward to obtain the full potential of agents’ learning capability. Good learning stability and quality of knowledge can be achieved with an optimal range of team sizes. Scaling up to larger team sizes has better performance than scaling downwards.

scholarly journals Habituation as Parameter for Prediction of Mental Development in Healthy Preterm Infants

2016 ◽  
Vol 31 (14) ◽  
pp. 1591-1597 ◽  
Author(s):  
Peter Weber ◽  
Antoinette Depoorter ◽  
Patrick Hetzel ◽  
Sakari Lemola
Keyword(s):  
Preterm Infants ◽  
Gestational Age ◽  
Mismatch Negativity ◽  
Infant Development ◽  
Mental Development ◽  
Learning Capability ◽  
Equivalent Age ◽  
Developmental Index ◽  
And Performance ◽  
Mental Developmental Index

The aim of this prospective pilot study was to evaluate the predictive value of discrimination and habituation, which was measured by mismatch negativity in 17 healthy very preterm (mean gestational age 27.4 weeks; range 25.0-31.3) and 16 term (mean gestational age 40.3 weeks; range 37.9-41.7) born infants at term equivalent age. Developmental outcome was measured by Bayley Scales of Infant Development–I in 13 preterm and 13 term-born children at a mean age of 21.7 months (±2.18) and 18.5 months (±1.9), respectively. No differences in amplitude and latency of the mismatch negativity were found between both groups at term equivalent age. Within the preterm group habituation capacity was positively correlated with the Mental Developmental Index ( r = .654, P = .008) and Performance Developmental Index ( r = .482, P = .048) at 21 months. Early learning capability, as measured by habituation, may be associated with a better prognosis for early mental development in healthy preterm infants.

Sustainable supply chain management practices and performance

2018 ◽  
Vol 118 (1) ◽  
pp. 2-21 ◽  
Author(s):  
Jing Wang ◽  
Jun Dai
Keyword(s):  
Economic Performance ◽  
Environmental Performance ◽  
Social Performance ◽  
Performance Model ◽  
Sustainable Supply Chain ◽  
Chinese Firms ◽  
Chain Management ◽  
Content Type ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper is to contribute significantly to the empirical investigations related to the impact of sustainable supply chain management (SSCM) practices on performance in Chinese firms. The paper also aims to theorize and empirically assess a comprehensive SSCM practices and performance model. The model incorporates two aspects of SSCM practices: internal and external management, and analyses the impact on corporate sustainability performance from all dimensions. Design/methodology/approach This paper develops a conceptual model to investigate the impact of SSCM practices on the firm performance. Based on the data of 172 Chinese firms, this paper analyzes the impact of SSCM practices on firm economic performance, environmental performance, and social performance for each dimension by using PLS structural equation methods. Findings The results show that firm’s internal SSCM practices have a positive impact on firm’s environmental performance and social performance. Moreover, environmental performance and social performance are positively related to economic performance. Originality/value A comprehensive SSCM practices performance model is proposed and empirically assessed for Chinese firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially necessary and are favorable for business. A series of approach and implications of SSCM practices is recommended.

Research on a Multi-Objective Genetic Algorithm for Rational Agent Learning Model

2011 ◽  
Vol 58-60 ◽  
pp. 1232-1239
Author(s):  
Ming Li ◽  
Zhen Hong Xiao ◽  
Zan Fu Xie ◽  
Xiao Yun Mo
Keyword(s):  
Genetic Algorithm ◽  
Global Convergence ◽  
Dynamic Environment ◽  
Learning Model ◽  
Dynamic Learning ◽  
Learning Capability ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Wide Perspective ◽  
And Performance

As a software component which is capable of learning in an autonomous way, software agent should have the capability of learning in a dynamic environment. Genetic Algorithm has a wide perspective in the machine learning because of its unique characteristic (e.g. dynamic adaptability, self-organization, global convergence and robustness). But when applying GA to agent’s dynamic learning model, it encounters a series of problem. In this paper, a Modifided Multi-Objective Genetic Algorithm(MMOGA) will be introduced to solve these problems. Finally, an Agent’s Dynamic learning model based on a MMOGA which has the flexible dynamic learning capability, better global convergence and performance, will be introduced.

scholarly journals Moderating Effect of Proactivity on Firm Absorptive Capacity and Performance: Empirical Evidence from Spanish Firms

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2099
Author(s):  
Rafael Sancho-Zamora ◽  
Isidro Peña-García ◽  
Santiago Gutiérrez-Broncano ◽  
Felipe Hernández-Perlines
Keyword(s):  
Absorptive Capacity ◽  
Structural Equation ◽  
Business Performance ◽  
Equation Model ◽  
Future Research ◽  
Learning Capability ◽  
Proactive Behaviour ◽  
Innovation Capacity ◽  
And Performance

The purpose of this study was to understand how proactivity can affect the relationship between absorptive capacity and organisational performance. Most previous studies have ignored the role of proactivity in this relationship and have not considered the multidimensional nature of absorptive capacity. A questionnaire was sent to 800 CEOs of Spanish companies from different sectors, procuring a response rate of 38.25%. A structural equation model was applied to test the hypothesis. This study confirms the positive effect that absorptive capacity has on business performance and the moderating role of proactivity in this relationship. Companies that develop their capacity to absorb information from the environment achieve better results. Furthermore, if they engage in proactive behaviour within their company, this relationship is stronger. Future research should include more capacities that are related to knowledge and business performance (i.e., learning capability, innovation capacity, etc.). This study contributes to the understanding of how to manage a company’s knowledge in an appropriate way. It sheds new light on how knowledge management should be conducted, emphasising not only the gathering of information but also the promotion of a proactive attitude on the part of employees to achieve the goal of better performance.

Intentional Cannibalization, Radical Innovation, and Performance: A Comparison of Chinese and Western Enterprises in China

2019 ◽  
Vol 28 (2) ◽  
pp. 40-58
Author(s):  
Saeed Samiee ◽  
Maria Sääksjärvi ◽  
Nükhet Harmancioǧlu ◽  
Erik Jan Hultink
Keyword(s):  
Radical Innovation ◽  
Marketing Strategies ◽  
Chinese Firms ◽  
Chinese Enterprises ◽  
Cost Leadership ◽  
Subsequent Performance ◽  
Differentiation Strategy ◽  
Leadership Strategy ◽  
And Performance ◽  
Cost Leadership Strategy

Research contrasting the marketing strategies of foreign and domestic firms within local markets is scarce but is of critical importance to both types of firms. This research examines how intentional cannibalization (IC) functions in Western and Chinese enterprises operating in China and evaluates IC’s impact on radical innovation and subsequent performance while accounting for the moderating effects of cost leadership and differentiation strategies. The investigation uncovers important marketing strategy concerns for firms competing in emerging markets such as China. The results demonstrate that IC on its own correlates with radical innovation for Western firms, but not for Chinese firms. For Chinese firms, the link between IC and radical innovation becomes significant only in combination with a cost leadership strategy. For Western firms, the link between IC and radical innovation is strengthened when these firms pursue a differentiation strategy and, in contrast to Chinese firms, radical innovation mediates the effect between IC and performance. Thus, the way IC and radical innovation affect performance varies across Western and Chinese enterprises. These findings bolster and extend research regarding strategies of local and nonlocal firms in home markets.

The Effects of Two Types of IOS Diffusion on Firms' Performance

2017 ◽  
pp. 283-305
Author(s):  
Sang Cheol Park ◽  
Gee-Woo Bock ◽  
Won Jun Lee ◽  
Cheng Zhang
Keyword(s):  
Supply Chain ◽  
Performance Improvement ◽  
Organizational Systems ◽  
Chinese Firms ◽  
Business Partners ◽  
External Diffusion ◽  
Proposed Model ◽  
Relational Resources ◽  
And Performance ◽  
The Relationship

This chapter addresses the theoretically neglected question of how the internal and external diffusion of inter-organizational systems (IOS) impacts firms' performance improvement. The proposed model posits that organizational and relational resources affect both internal and external diffusion. In turn, they influence performance improvement. This study collected data from 187 managers in Korean and Chinese firms. It tested its research model by using partial least squares (PLS). According to the findings, two types of IOS diffusion (i.e., internal and external) mediated the relationship between organizational/relational resources and performance improvement in the supply chain context. The study also found that Korean firms were likely to externally diffuse IOS toward their business partners. Chinese firms would tend to internally diffuse IOS by deploying IOS from their partners.

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