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Article
Publication date: 8 January 2018

Chi-Cheng Huang and Ping-Kuo Chen

This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship…

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Abstract

Purpose

This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship between TMS and team performance and the moderation of team psychological safety to the relationship among TMS, knowledge intentions and team performance.

Design/methodology/approach

The authors collected data from a sample of 366 team members from 55 research and development (R&D) teams in Taiwan and conduct the analysis using the partial least squares method.

Findings

The results of this study indicate that social interaction processes have a positive effect on a TMS; a TMS can foster team performance, but knowledge integration mediates the relationship between the TMS and team performance; and team psychological safety can moderate the relationship between the TMS, knowledge integration and team performance.

Originality/value

Existing studies not only fail to explore the influence of social interaction processes on a TMS practice but also lack empirical analyses to explore knowledge integration as a mediator and team psychological safety as a moderator. This study fills that gap by developing a model that includes these types of relationships and suggests the importance of the TMS in the context of R&D.

Details

Journal of Knowledge Management, vol. 22 no. 1
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 19 September 2018

Chi-Cheng Lee, Rui-Hsin Kao and Chia-Jung Lin

This paper aims to develop the structure of employer brand and discuss whether employees and employers have the same view on the elements of employer brand.

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Abstract

Purpose

This paper aims to develop the structure of employer brand and discuss whether employees and employers have the same view on the elements of employer brand.

Design/methodology/approach

The employer brand of Taiwan, which includes 5 facets and 20 eight terms, was obtained. Management, welfare, interest and environment are the common facets of employer brand in China and Western countries. In addition, family and atmosphere is an important factor that merges both Western and Eastern job applicants. Its contents emphasize family life, which is only found in applicants from Taiwan and China.

Findings

The results showed that enterprises utilize functional factors in order to connect emotions closely and satisfy psychological sustenance, which have true attraction to young Taiwanese applicants and the current workforce of employees.

Originality/value

In general, after 20 years of establishment and empirical research, the achievements are rich and many practical opinions are provided. However, most of the existing literatures come from the researches of Western scholars, and they may be affected by the Western social value. This study has explored the Oriental and Western literatures. In the study field of Taiwan, it is found that employer brand will definitely show different style features due to the cultural difference. Therefore, when an enterprise applies the relevant connotation of the employer brand, it is necessary considering the cultural difference. This shows the importance of cross-cultural study of employer brand recently. At the same time, this also highlights the contribution of this study on theory and practice.

Details

Chinese Management Studies, vol. 12 no. 4
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 4 November 2014

Chi-Cheng Chang

The capability of innovation is a major component of high-education students’ employability. The purpose of this paper is to introduce an instructional cycle specific to…

780

Abstract

Purpose

The capability of innovation is a major component of high-education students’ employability. The purpose of this paper is to introduce an instructional cycle specific to information technology-related disciplines that helps improve the students’ innovation capability and their employability.

Design/methodology/approach

Literature review, expert adviceand quasi-experiments are used. Instructional activities were developed out of the innovative instructional cycle proposed in this study, which was adjusted in line with the opinions of 30 experts. Teaching experiments were then conducted on 120 college students to understand how well that instructional cycle leads to improvements regarding each creativity indicator, and how feasible the cycle's employability enhancement approach is.

Findings

This study concluded eight indicators of employable creativity: the sensitivity to problems, organizing/integration ability, complexity, originality, flexibility, novelty, fluency and the desire to create.

Research limitations/implications

This study does not focus on how creative thoughts are used to form a mental model that makes students more flexible and adaptable in workplaces.

Originality/value

The contribution of this study lies in successfully verifying this “cycle” proposed has positive, beneficial effects on shaping a student's employability.

Details

Education + Training, vol. 56 no. 8/9
Type: Research Article
ISSN: 0040-0912

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Article
Publication date: 7 January 2025

Chunhsien Wang, Chi-Cheng Wu and Chin-Chia Ou

Drawing upon an integrative perspective from intellectual capital theory with upper echelon theory, we examined how intellectual capital affects resource integration capability…

28

Abstract

Purpose

Drawing upon an integrative perspective from intellectual capital theory with upper echelon theory, we examined how intellectual capital affects resource integration capability and subsequent strategic decision-making under weak versus strong top management team (TMT) involvement behavior. The purpose of this study was to investigate the relationships between intellectual capital and strategic decision-making and the mediated moderating effect between intellectual capital and decision-making on small- and medium-sized enterprises (SMEs).

Design/methodology/approach

Using statistical empirical analysis, we tested our research hypotheses via large-scale survey data from 323 SMEs. A regression analysis was applied to intellectual capital, resource integration capability and TMT involvement behavior to estimate their influence on strategic decision-making.

Findings

Our findings suggest that the positive effect of intellectual capital on strategic decision-making via resource integration capability is conditional on TMT involvement behavior, underscoring the role of resource integration capability and TMT involvement behavior in intellectual capital. The results also indicate that intellectual capital and resource integration capability strengthen positive decision-making relationships. Furthermore, TMT involvement behavior strengthens the positive interaction effect of intellectual capital with resource integration capability.

Practical implications

Intellectual capital is a critical and preeminent strategic resource for strengthening strategic decision-making, especially for SMEs. Notably, trends related to intellectual capital can be used to explore the management of SMEs and the corresponding contributions to and improvements in strategic decision-making. Specifically, intellectual capital can be used by SME management teams to formulate and implement relevant strategic decisions and enhance the effectiveness of decision-making, which are critical steps for success in decision-making processes.

Originality/value

This research explored the relationships among intellectual capital, resource integration capability, TMT involvement behavior and strategic decision-making in a comprehensive mediated moderation model; it is the first known study to highlight that intellectual capital can enhance strategic decision-making and provide managerial implications regarding how to align resource integration capability and TMT involvement behavior while performing strategic decision-making.

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Article
Publication date: 6 March 2017

Cheng-Chi Tai, Wei-Cheng Wang and Yuan-Jui Hsu

This study aims to establish a dynamic process model of an electromagnetic thermotherapy system (ETS) to predict the temperature of a thermotherapy needle.

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Abstract

Purpose

This study aims to establish a dynamic process model of an electromagnetic thermotherapy system (ETS) to predict the temperature of a thermotherapy needle.

Design/methodology/approach

The model is used for real-time predicting the static and dynamic responses of temperature and can therefore provide a valuable analysis for system monitoring.

Findings

The electromagnetic thermotherapy process is a nonlinear problem in which the system identification is implemented by a neural network identifier. It can simulate the input/output relationship of a real system with an excellent approximation ability to uncertain nonlinear system. A system identifier for an ETS is analyzed and selected with recurrent neural networks models to deal with various treatment processes.

Originality/value

The Elman neural network (ENN) prediction model on ETS proposed in this study is an easy and feasible method. Comparing two situations of inputs with more and fewer data, both are trained to present low mean squared error, and the temperature response error appears within 15 per cent. The ENN, with the advantages of simple design and stable efficacy, is useful for establishing the temperature prediction model to ensure the security in the thermotherapy.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36 no. 2
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 2 October 2017

Chin-Tsung Hsieh, Her-Terng Yau and Cheng-Chi Wang

This study aims to investigate the dynamic motion of an ultrasonic machining system comprising two Duffing oscillators, each with a single degree of freedom. After derivation of…

120

Abstract

Purpose

This study aims to investigate the dynamic motion of an ultrasonic machining system comprising two Duffing oscillators, each with a single degree of freedom. After derivation of the differential equations of the system using the Lagrange equations and dimensionless time, numerical analysis was used to observe changes in the system caused by differences in excitation frequency.

Design/methodology/approach

To suppress this effect and improve performance, proportional differential (PD) control was used. The integral absolute error was used as the fitness function, and particle swarm optimization was used to find the best value for the gain constant of the PD controller.

Findings

The results showed that with specific changes of excitation frequency, the dynamic motion of the system became nonlinear and chaotic behavior resulted. This made the system unstable and affected performance.

Originality/value

A range of methods, including fuzzy control, was used to analyze the results, and exhaustive laboratory work was carried out. Means of control were found that were effective in suppressing the chaotic behavior, and differences in response to control were investigated and verified. The findings of this study can be used as a basis for system parameter settings or control circuit design.

Details

Engineering Computations, vol. 34 no. 7
Type: Research Article
ISSN: 0264-4401

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Book part
Publication date: 14 February 2025

Nihat Emre Börekçi

Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these…

Abstract

Purpose: To investigate the key technologies facilitating the transition towards Industry 5.0 and analysing the contributions of Nvidia, a prominent leader in this field, to these technological advancements.

Significance of the study: Technology companies such as Nvidia play a critical role in this transformation through their innovative solutions. This study addresses the need to understand this evolving landscape and the significant impact of the Nvidia.

Methodology: This study is a qualitative approach that examines the existing literature and secondary case studies pertaining to Industry 5.0, and Nvidia. This study examines Nvidia’s high-performance graphics processing units (GPUs), the digital twin platform Omniverse, and the humanoid robot technology development platform, Isaac.

Findings: The next generation of GPUs with the Blackwell architecture is expected to further advance the development of large language models. The Nvidia Omniverse platform contributes significantly to the development of digital twins, a crucial technology for Industry 5.0. The Nvidia Isaac platform focuses on the development of humanoid robot technology, which is a key component of Industry 5.0. Utilizing realistic simulations with Isaac Sim, imitating human behavior with GR00T, and leveraging the high-performance processing power of Jetson Thor, the platform facilitates the creation of robots capable of safe and effective human–robot collaboration. Nvidia has emerged as a leader in the artificial intelligence (AI), robotics, and gaming sectors because of its innovative and agile company culture.

Practical implications: Companies can leverage Nvidia’s technological solutions to optimize production processes and enhance both efficiency and sustainability. The human–machine collaboration emphasized by Industry 5.0 will necessitate the reshaping of workforce skillsets and operational approaches.

Details

Business Challenges and Opportunities in the Era of Industry 5.0
Type: Book
ISBN: 978-1-83549-676-3

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Book part
Publication date: 10 July 2019

Tianxing Wu, Guilin Qi and Cheng Li

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and…

Abstract

With the continuous development of intelligent technologies, knowledge graph, the backbone of artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability of knowledge representation and reasoning. Besides, knowledge graph has been widely applied in different kinds of applications, such as semantic search, question answering, knowledge management, and so on. In recent years, knowledge graph techniques in China are also developing rapidly and different Chinese knowledge graphs have been built to support various applications. Under the background of “One Belt One Road (OBOR)” initiative, cooperating with the countries along OBOR on studying knowledge graph techniques and applications will greatly promote the development of artificial intelligence. At the same time, the accumulated experience of China on developing knowledge graph is also a good reference. Thus, in this chapter, the authors mainly introduce the development of Chinese knowledge graphs and their applications. The authors first describe the background of OBOR, and then introduce the concept of knowledge graph and three typical Chinese knowledge graphs, including Zhishi.me, CN-DBpedia, and XLORE. Finally, the authors demonstrate several applications of Chinese knowledge graphs.

Details

The New Silk Road Leads through the Arab Peninsula: Mastering Global Business and Innovation
Type: Book
ISBN: 978-1-78756-680-4

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