Search results

1 – 10 of over 9000
To view the access options for this content please click here
Book part
Publication date: 24 August 2011

Tommy Tsung Ying Shih

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on…

Abstract

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

Details

Interfirm Networks: Theory, Strategy, and Behavior
Type: Book
ISBN: 978-1-78052-024-7

Keywords

To view the access options for this content please click here
Article
Publication date: 3 December 2020

Chih-Hsing (Sam) Liu

This study attempts to explore how a cultural and creative firm's competitive advantages can be maintained through the accumulation of intellectual capital and…

Abstract

Purpose

This study attempts to explore how a cultural and creative firm's competitive advantages can be maintained through the accumulation of intellectual capital and entrepreneurial orientation. Another goal of this study is to identify the different mechanisms of network ties to explore the interrelationships between organizational capital and competitive advantage in the context of Taiwan and China.

Design/methodology/approach

Study 1 and study 2 settings are applied, and 786 samples (i.e., 418 samples from Taiwan and 368 samples from China) are used to examine the proposed model.

Findings

Study 1 reveals that entrepreneurial orientation may influence the organization capital through human capital and social capital, which discloses the mutual relationships of intellectual capital. Further, the results of study 2 confirm the mediating role of intellectual capital that links the relationships between entrepreneurial orientation and competitive advantage. Specifically, this study also discovered that firms with more network or political ties (e.g. the Chinese samples) and business ties (e.g. the Taiwanese samples) tend to amplify the effects of organizational capital on competitive advantage.

Practical implications

According to our empirical results, cultural and creative managers should build a learning mechanism to encourage and develop entrepreneurial orientation and intellectual capital capacities and to provide means of understanding of customers' changing expectations. Hence, in enhancing entrepreneurial orientation and intellectual capital cultural and creative firms can develop a competitive advantage over competitors. Our findings also offer new insight to support further studies of the benefits of managerial ties for firms operating in Guanxi cultural settings in Chinese contexts.

Originality/value

Most previous studies on tourism strategies have disregarded the impacts and different roles of government (e.g. political ties) and business (e.g. business ties) forces on cultural and creative firms' competitive advantages, suggesting a need to address social network issues in response to dynamic tourism environments. Therefore, this study examines differences in network ties and the differences observed between China and Taiwan in the context of Chinese cultural and creative firms.

Details

Management Decision, vol. 59 no. 9
Type: Research Article
ISSN: 0025-1747

Keywords

To view the access options for this content please click here
Article
Publication date: 26 July 2021

Yahui Chen, Jianmin Zhang, Chang-E Liu, Tingting Liu and Wei He

The purpose of this paper is to investigate the role of intrinsic motivation and self-construal in explaining the relationship between work-related identity discrepancy…

Abstract

Purpose

The purpose of this paper is to investigate the role of intrinsic motivation and self-construal in explaining the relationship between work-related identity discrepancy and employee innovation behavior.

Design/methodology/approach

Based on a survey of 637 respondents from 15 organizations in southern China, this study examines four hypotheses with regard to the relationship between work-related identity discrepancy and employee innovation behavior through hierarchical regression analysis.

Findings

The research results indicate that work-related identity discrepancy is negatively related to employee innovation behavior, but intrinsic motivation mediates their negative relationship, and self-construal moderates this mediating effect further. Specifically, the results demonstrate that perceiving work-related identity discrepancy can lower intrinsic motivation among employees with interdependent self-construal and subsequently reduce their innovation behavior.

Originality/value

Drawn on social cognitive theory, this study reveals the negative effect of work-related identity discrepancy on employee innovation behavior and the moderated mediation effect of intrinsic motivation and self-construal on the negative relationship. The finding expands existing literature on work-related identity discrepancy and employee innovation behavior.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

Keywords

To view the access options for this content please click here
Article
Publication date: 21 May 2021

Chang Liu, Samad M.E. Sepasgozar, Sara Shirowzhan and Gelareh Mohammadi

The practice of artificial intelligence (AI) is increasingly being promoted by technology developers. However, its adoption rate is still reported as low in the…

Abstract

Purpose

The practice of artificial intelligence (AI) is increasingly being promoted by technology developers. However, its adoption rate is still reported as low in the construction industry due to a lack of expertise and the limited reliable applications for AI technology. Hence, this paper aims to present the detailed outcome of experimentations evaluating the applicability and the performance of AI object detection algorithms for construction modular object detection.

Design/methodology/approach

This paper provides a thorough evaluation of two deep learning algorithms for object detection, including the faster region-based convolutional neural network (faster RCNN) and single shot multi-box detector (SSD). Two types of metrics are also presented; first, the average recall and mean average precision by image pixels; second, the recall and precision by counting. To conduct the experiments using the selected algorithms, four infrastructure and building construction sites are chosen to collect the required data, including a total of 990 images of three different but common modular objects, including modular panels, safety barricades and site fences.

Findings

The results of the comprehensive evaluation of the algorithms show that the performance of faster RCNN and SSD depends on the context that detection occurs. Indeed, surrounding objects and the backgrounds of the objects affect the level of accuracy obtained from the AI analysis and may particularly effect precision and recall. The analysis of loss lines shows that the loss lines for selected objects depend on both their geometry and the image background. The results on selected objects show that faster RCNN offers higher accuracy than SSD for detection of selected objects.

Research limitations/implications

The results show that modular object detection is crucial in construction for the achievement of the required information for project quality and safety objectives. The detection process can significantly improve monitoring object installation progress in an accurate and machine-based manner avoiding human errors. The results of this paper are limited to three construction sites, but future investigations can cover more tasks or objects from different construction sites in a fully automated manner.

Originality/value

This paper’s originality lies in offering new AI applications in modular construction, using a large first-hand data set collected from three construction sites. Furthermore, the paper presents the scientific evaluation results of implementing recent object detection algorithms across a set of extended metrics using the original training and validation data sets to improve the generalisability of the experimentation. This paper also provides the practitioners and scholars with a workflow on AI applications in the modular context and the first-hand referencing data.

To view the access options for this content please click here
Article
Publication date: 19 October 2018

Nizar Souiden, Riadh Ladhari and Liu Chang

The purpose of this paper is to examine ethnocentrism and animosity in a special context of two societies that share cultural, historical, ethnic and geographical…

Abstract

Purpose

The purpose of this paper is to examine ethnocentrism and animosity in a special context of two societies that share cultural, historical, ethnic and geographical characteristics. In particular, it first investigates the relationships between Chinese ethnocentrism and animosity toward Taiwan, and then it examines the impact of these two factors on the Chinese perception of Taiwanese brand quality and their purchase intent.

Design/methodology/approach

Based on a sample of 605 respondents from China, data were analyzed by structural equation modeling.

Findings

The results show that although Chinese animosity toward Taiwan is moderate, it is significantly driven by ethnocentrism, which has a significant and negative effect on willingness to buy, but not on the perception of Taiwanese brand quality. The Chinese animosity toward Taiwan, however, has negative and significant effects on their perception of Taiwanese brand quality and their intention of purchasing Taiwanese brands.

Research limitations/implications

The immense size of the country has impeded the representativeness of the authors’ sample and the generalizability of the results. Also, the study covers only one type of product.

Practical implications

Forming partnerships with local Chinese businesses and developing strong ties with local communities could be considered as a solution to minimize or circumvent the effect of animosity and might help foreign companies appear more “local.”

Originality/value

In contrast to past studies that investigated ethnocentrism and animosity in the context of countries presenting several differences (e.g. China vs USA), this study investigates the effect of ethnocentrism and animosity in the context of two countries (China and Taiwan) that share cultural, historical, ethnic and geographic characteristics. Despite the strong ties between the two countries, the Chinese have a certain animosity, though moderate, toward Taiwan and consequently are less inclined to buy Taiwanese brands. This implies that Chinese animosity toward a country may be toned down or pronounced, depending on whether they have strong or weak ties with that country.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 30 no. 4
Type: Research Article
ISSN: 1355-5855

Keywords

To view the access options for this content please click here
Book part
Publication date: 4 July 2019

Utku Kose

It is possible to see effective use of Artificial Intelligence-based systems in many fields because it easily outperforms traditional solutions or provides solutions for…

Abstract

It is possible to see effective use of Artificial Intelligence-based systems in many fields because it easily outperforms traditional solutions or provides solutions for the problems not previously solved. Prediction applications are a widely used mechanism in research because they allow for forecasting of future states. Logical inference mechanisms in the field of Artificial Intelligence allow for faster and more accurate and powerful computation. Machine Learning, which is a sub-field of Artificial Intelligence, has been used as a tool for creating effective solutions for prediction problems.

In this chapter the authors will focus on employing Machine Learning techniques for predicting data for future states of economic using techniques which include Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, Dynamic Boltzmann Machine, Support Vector Machine, Hidden Markov Model, Bayesian Learning on Gaussian process model, Autoregressive Integrated Moving Average, Autoregressive Model (Poggi, Muselli, Notton, Cristofari, & Louche, 2003), and K-Nearest Neighbor Algorithm. Findings revealed positive results in terms of predicting economic data.

To view the access options for this content please click here
Article
Publication date: 12 October 2021

Chang Liu, Pratibha Rani and Khushboo Pachori

Due to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and…

Abstract

Purpose

Due to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.

Design/methodology/approach

This paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.

Findings

The outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.

Originality/value

Selecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

To view the access options for this content please click here
Article
Publication date: 7 April 2020

Yuhang Zhang, Chang Liu, Tingting Xu, Yan Huang and Liangyan Tao

The technical level of aircraft failure analysis plays a special role in ensuring the safety of civil aviation flight. Using appropriate methods for functional failures…

Abstract

Purpose

The technical level of aircraft failure analysis plays a special role in ensuring the safety of civil aviation flight. Using appropriate methods for functional failures analysis can provide a reliable reference for aircraft safety. The purpose of this paper is to provide a new and comprehensive measure based on conventional functional hazard analysis (FHA) and grey system theory to analysis and evaluate the class that each failure belongs to.

Design/methodology/approach

This paper integrates multiple methods including the FHA, the fixed weight cluster, the Delphi method and the analytic hierarchy process (AHP). To begin with, use FHA method to sort out the corresponding failure states of a certain system from the perspective of function and determine the evaluation index. And then using group decision and AHP, determine the expert weight and index weight in the fixed weight cluster. The fixed weight cluster function is used to determine the grey class to which a certain functional failure belongs in the complex system.

Findings

In the past, the risk assessment of aircraft was mostly dominated by the subjective judgment of the experts, but it was not possible to give an objective observation score for each failure state. This paper addresses the problem efficiently as well as the feature of “little data, poor information.” The risk degree of each failure state can ultimately be replaced by a quantitative value.

Research limitations/implications

This paper uses the idea of clustering in grey system theory to evaluate the risk of landing gear system. In the expert evaluation stage, different experts evaluated the impact degree of the aircraft's failure caused by its functions, so the final risk classification is subjective to some extent.

Practical implications

This study analyzed the different conditions of the landing gear, including the front wheel steering, front wheel damping, front wheel steering system, brake system fault information and so on. It can effectively divide the different failure states and their effects, which is helpful to improve the safety of aircraft landing gear system and provide some useful methods and ideas for studying the safety of aircraft systems.

Social implications

Based on the FHA analysis process and the grey system theory, this paper determines various potential risks and their consequences of various functions according to the hierarchy, so as to carry out further detailed analysis on the risks that may occur under various functional conditions and take certain measures to prevent them. It is helpful to improve the risk management and control ability of aircraft in the actual flight process and to guarantee the safety of people's lives and property.

Originality/value

This paper is a pioneer in integrating the FHA method and the grey system theory, which exactly can be used to address the problem with the character of “little data, poor information.” The model established in this paper for the defects of FHA can effectively improve the accuracy of FHA, which is of great significance for the study of safety. In this paper, a case about landing gear system is given to illustrate the effectiveness of the model.

Details

Grey Systems: Theory and Application, vol. 10 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Article
Publication date: 16 January 2020

Yuhang Zhang, Yan Huang, Tingting Xu, Chang Liu and Liangyan Tao

The classification of aircraft failures has been a significant part of functional hazard analysis (FHA). Aiming at the shortcomings of the traditional FHA method in the…

Abstract

Purpose

The classification of aircraft failures has been a significant part of functional hazard analysis (FHA). Aiming at the shortcomings of the traditional FHA method in the evaluation of aircraft risk, the purpose of this paper is to put forward a new approach by combining the gray comprehensive relation calculation method in the gray system theory with the traditional FHA in order to deal with the problem of “little data, poor information.”

Design/methodology/approach

This paper combines FHA, 1–9-scale method and gray relation analysis. At first, aircraft failure scenarios are chosen and data from experts are collected; then gray system theory is applied to find the relevance of such scenarios. Finally, the classification according to relevance is determined.

Findings

In the past, “little data, poor information” made it difficult for researchers to implement FHA. In this paper, the authors manage to deal with the problem of “poor information” and provide an approach to find the seriousness of aircraft failure.

Research limitations/implications

Due to the use of expert-evaluating methods, the classification of failures is still a little subjective and can be improved in this area. In the future, the method can be improved from the perspective of combining FMEA to analyze more complex indicators or using multisource heterogeneous solutions to solve fuzzy numbers, probabilities, gray numbers and indicators that cannot be assigned.

Practical implications

The paper uses FHA to divide the failure state and establishes a gray evaluation model of the aircraft failure state classification to verify the relevant method. Some aircraft safety design requirements are used to check the safety hazards of the aircraft during the design process, and to provide rational recommendations for the functional design of the aircraft.

Social implications

Improving the safety of aircraft is undoubtedly of great practical significance and has become a top priority in the development of the civil aviation industry. In this paper, the FHA method and the failure state of the aircraft are studied. The original FHA method is innovated by using the gray system theory applicable to the poor information state. Therefore, to some extent, this study has significance for improving the safety of civil aircraft flight, ensuring people’s travel safety and enhancing the society’s trust in civil aviation.

Originality/value

The main innovation of this paper is integrating the FHA method and the gray system theory. This study calculates the comprehensive relation degree of each failure under different flight stages, and uses FHA to divide the failure state, and finally establishes a gray evaluation model of the aircraft failure state classification to analyze the different conditions of the landing gear brake system, so that it improves the present situation, and the problem with the character of “little data, poor information” can be addressed better.

Details

Grey Systems: Theory and Application, vol. 11 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Content available
Article
Publication date: 3 April 2020

Yongfei Jia, Chang Liu, Chong Yin and Qing Zhu

Under the background of economic and technological globalization, all countries will pay attention to science and technology innovation policies. At this time, the era of…

Abstract

Purpose

Under the background of economic and technological globalization, all countries will pay attention to science and technology innovation policies. At this time, the era of innovation policy plays an important role. In order to thoroughly implement the spirit of the 19th National Congress of the Communist Party of China, earnestly innovate development concepts and strengthen the key supporting role of scientific and technological innovation for social development.

Design/methodology/approach

The research will make an in-depth study on the policy of scientific and technological innovation, take the change trend of the number of laws and regulations and the analysis of the basic content as the entry point, and classify it from five different aspects, such as the policy of scientific and technological system and mechanism, the policy of financial guidance, the policy of technological innovation of enterprises, the policy of scientific and technological talents, and the policy of intellectual property.

Findings

Through the comparison of the development history of science and technology policies at home and abroad, the development history of science and technology innovation policies under the special national conditions of China is obtained. Combining with the relevant basic theories of science and technology innovation system, designing from the publishing department, main content, and implementation subject, constructing a synergistic science and technology innovation system of “government, industry, university and research,” and forming an “integration of supply and demand” technology innovation framework will guide the development of China's science and technology innovation in the future.

Originality/value

The authors construct the policy framework of science and technology collaborative innovation based on the concept of science and technology innovation policies. The framework has realistic significance for its future development.

Details

Journal of Industry-University Collaboration, vol. 2 no. 1
Type: Research Article
ISSN: 2631-357X

Keywords

1 – 10 of over 9000