Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence

2020 ◽  
pp. 1-10
Author(s):  
Hui Wu ◽  
Xiaomin Gu ◽  
Yuanjun Zhao ◽  
Wei Liu
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Innovation Performance ◽  
Structural Hole ◽  
Cooperative Innovation ◽  
The Relationship

The Relationship Between Knowledge Management and Innovation Performance

2018 ◽  
Vol 29 (1) ◽  
pp. 12-26 ◽  
Author(s):  
Amirhosein Mardani ◽  
Saghi Nikoosokhan ◽  
Mahmoud Moradi ◽  
Mohammad Doustar
Keyword(s):  
Knowledge Management ◽  
Innovation Performance ◽  
The Relationship

Modeling the Relationship between Human Intelligence, Knowledge Management Practices, and Innovation Performance

2015 ◽  
Vol 14 (01) ◽  
pp. 1550012 ◽  
Author(s):  
M. F. Noordin ◽  
Z. A. Karim
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Knowledge Workers ◽  
Empirical Studies ◽  
Partial Least Square ◽  
Innovation Performance ◽  
Least Square ◽  
Human Intelligence ◽  
Spiritual Potential ◽  
The Relationship

Pioneers in knowledge management (KM) have well articulated the relationship between KM and innovation. In addition, there are many theoretical papers as well as empirical studies that examined the positive relationship between KM and innovation. However, these empirical studies analysed the relationship between KM and innovation at management or organisational level. There is a need to study this relationship at the knowledge workers level to see how they actually influence their organisational KM and innovation. This study aims to analyse the knowledge worker's intelligence, emotional, and spiritual potential towards KM and innovation as well as examine the relationship between knowledge workers, KM and innovation. Survey questionnaires are used to measure knowledge workers' intelligence quotient (IQ), emotional quotient (EQ), and spiritual quotient (SQ), their KM processes involvement, and perception on their innovation performance. Partial least square (PLS) analysis is used in the analyses to determine the relationship between human intelligence, KM processes and innovation performance. Results indicate that human EQ and SQ influenced KM and innovation but not IQ.

scholarly journals Towards Artificial Intelligence. Sociological Reflections on the Relationship Man - Organization - Device

2019 ◽  
Vol 1 (1) ◽  
pp. 912-920
Author(s):  
Małgorzata Suchacka ◽  
Nicole Horáková
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Knowledge Management ◽  
Learning Process ◽  
Social Dimensions ◽  
Human Organization ◽  
Interdisciplinary Nature ◽  
The Relationship

AbstractThe main goal of the study will be to pay attention to technologization of the learning process and its social dimensions in the context of artificial intelligence. The reflection will mainly cover selected theories of learning and knowledge management in the organization and its broadly understood environment. Considering the sociological dimensions of these phenomena is supposed to lead to the emphasis on the importance of the security of the human-organization-device relationship. Due to the interdisciplinary nature of the issue, the article will include references to the concept of artificial intelligence and machine learning. Difficult questions will arise around the ideas and will become the conclusion of the considerations.

scholarly journals E-business capabilities and innovation performance: The mediating effect of knowledge management strategies

2020 ◽  
Vol 15 (2) ◽  
pp. 221-239
Author(s):  
Jose Arias-Pérez ◽  
Esteban López-Zapata ◽  
Andrea Echeverri-Bedoya
Keyword(s):  
Knowledge Management ◽  
Least Squares Method ◽  
Management Strategies ◽  
Structural Equations ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Antecedent Variable ◽  
Effective Use ◽  
Partial Least Squares Method ◽  
The Relationship

The aim of this paper is to analyze the mediating effect of the knowledge management strategies on the relationship between e-business capabilities and innovation performance. The research model was tested with a sample of 102 firms belonging to IT intensive sectors, located in an emerging country that is a regional leader in terms of e-business adoption. Structural equations by the consistent partial least squares method were used. The main result indicates that only the personalization strategy has a partial mediating effect. In conclusion, e-business capability alone is insufficient for achieving a superior innovation performance. This finding also helps consolidate the incipient study perspective that understands knowledge management not as an antecedent variable which becomes indispensable for e-business adoption, but as an organizational factor that intervenes a posteriori and which is focused on achieving an effective use of all the knowledge resulting from the digital operation of the business.

Artificial Intelligence

2021 ◽  
pp. 210-221
Author(s):  
Ankit Dhamija ◽  
Niti Chatterji
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Knowledge Management ◽  
Stage Of Development ◽  
Indian Context ◽  
The Relationship ◽  
Current Stage

Machines have emerged as intelligent players and are set to replace skilled practitioners in various fields. So, what would be a leader's contribution be if machines do the decision making? The chapter addresses this question by proposing that artificial intelligence will act as a catalyst enabling managers and leaders in the process of knowledge management. Further, the chapter aims to bring together the three constructs of leadership, artificial intelligence, and knowledge management and try to theoretically establish a relationship among them. The work is immensely relevant to the Indian context given the fact that at its current stage of development, artificial intelligence has the potential to add $957 billion to the country's economy by 2035. Thus, the chapter will emphasize the relationship between leadership and artificial intelligence and how it supports knowledge management in organizations and influences its everyday decision making.

scholarly journals How Can a Firm Innovate When Embedded in a Cluster?—Evidence from the Automobile Industrial Cluster in China

2019 ◽  
Vol 11 (7) ◽  
pp. 1837 ◽  
Author(s):  
Shuaishuai Li ◽  
Suyang Han ◽  
Tiyan Shen
Keyword(s):  
Knowledge Management ◽  
Absorptive Capacity ◽  
Automobile Industry ◽  
Structural Equation ◽  
Equation Model ◽  
Innovation Performance ◽  
Three Dimensions ◽  
Firm Level ◽  
The Impact ◽  
The Relationship

In the era of the knowledge economy, knowledge management is increasingly important. Knowledge management ability is one of the core factors influencing enterprise competitiveness, affecting innovation performance and sustainable development. To test the impact mechanism of the knowledge management of enterprises on innovation performance, a multilevel structural equation model was established using data from the automobile industry in China, with “knowledge management” (KM) as the independent variable, the three dimensions of absorptive capacity as the mediating variables, and “innovation performance” (IP) as the dependent variable at the firm level. At the cluster level, the innovation milieu of the cluster was introduced into the model. The results show that the three dimensions of absorptive capacity all significantly mediate the relationship between knowledge management and innovation performance. The innovation milieu of the cluster had a direct cross-level effect on the innovation performance of enterprises and a positive cross-level moderated effect on the relationship between explorative learning and innovation performance. These results support the promotion of enterprise innovation ability and the creation of an innovation milieu in the automobile industry in China.

scholarly journals Does interaction between TQM practices and knowledge management processes enhance the innovation performance?

2017 ◽  
Vol 34 (7) ◽  
pp. 955-974 ◽  
Author(s):  
Maha Mohammed Yusr ◽  
Sany Sanuri Mohd Mokhtar ◽  
Abdul Rahim Othman ◽  
Yaty Sulaiman
Keyword(s):  
Knowledge Management ◽  
Manufacturing Sector ◽  
Innovation Performance ◽  
Survey Method ◽  
Manufacturing Companies ◽  
Total Quality ◽  
Content Type ◽  
Management Processes ◽  
The Relationship ◽  
Knowledge Management Processes

Purpose The purpose of this paper is to investigate the effect of applying total quality management (TQM) on enhancing knowledge management processes. It also examine the relationship between knowledge management and innovation performance in the Malaysian manufacturing sector. Design/methodology/approach This study used a survey method to test the formulated hypotheses. Therefore, the adopted questionnaire was used as an instrument to collect the needed data. The population of the study consisted of 800 big and medium manufacturing companies listed in Federation of Malaysian Manufacturers (2012). Findings The results of this paper support a positive and significant impact of TQM practice on knowledge management processes. Furthermore, the relationship between knowledge management and innovation performance has been a proved. However, further analysis on dimension level indicates that knowledge acquisition failed to show significant relationship with innovation performance. Originality/value This study addresses one of the recent issues within the Malaysian context of becoming a developed nation, which is innovation performance, specifically for manufacturing companies. To do so, the overlapping relationships among TQM practices, knowledge management, and innovation performance have been tested.

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