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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

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

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. 15 no. 5
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 22 November 2022

Shuang Hu, Saileshsingh Gunessee and Chang Liu

Chinese multinational enterprises’ (MNEs) unprecedented, aggressive cross-border mergers and acquisitions (CBMAs) have led to several studies examining Chinese CBMAs…

Abstract

Purpose

Chinese multinational enterprises’ (MNEs) unprecedented, aggressive cross-border mergers and acquisitions (CBMAs) have led to several studies examining Chinese CBMAs, which importantly has also led to some degree of “theorising”. This study aims to undertake a “non-theoretical” fact-finding exercise before any theorising and empirical “causal” examination for a better understanding of the phenomenon (the rise of Chinese CBMAs).

Design/methodology/approach

This study uses a “stylised facts” approach which documents “empirical regularities” concerning Chinese CBMAs and thus guides new research questions.

Findings

Several facts are documented. Firstly, both the value and frequency of Chinese CBMAs are catching up to greenfield investments, with CBMA deals being larger in scale but lower in frequency. Secondly, Chinese CBMAs show a global reach away from the regional orientation of their early years. Thirdly, Chinese MNEs are possibly transforming their value chain with industrial upgrading as an aim. Fourthly, Chinese “full” acquisitions of targets have surged, especially in OECD countries, suggestive of Chinese MNEs’ “radical” acquisition approaches.

Originality/value

The gathered facts lend support to the view of the need for such fact-finding exercises to explicate and shed “new” light on the phenomenon (beyond our “current” views/beliefs). An understanding of the underlying trends beyond bare facts can also identify new knowledge, which can in turn provide new directions for research.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

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.

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

Article
Publication date: 2 August 2022

Shijian Wang, Qiyuan He, Quanwei Liang, Jie Cui, Qing Jiang, Chang Liu, Chao He, Lang Li and Yao Chen

The study aims to examine the effect of inclusions and inherent microstructure on fatigue behavior of 34Cr2Ni2Mo steel.

Abstract

Purpose

The study aims to examine the effect of inclusions and inherent microstructure on fatigue behavior of 34Cr2Ni2Mo steel.

Design/methodology/approach

Fatigue behavior of 34Cr2Ni2Mo steel was investigated for up to 1E10 cycles.

Findings

Results showed that both inclusion and inherent microstructure have an influence on the crack initiation mechanism. Fatigue cracks mostly initiated from inclusions, whereas substrate-induced crack initiations were also observed. Fatigue life of inclusion-induced failures is mostly determined by the location of inclusions rather than the loading stress. The inherent microstructure seems to tolerate inclusions at a lower stress level in very high-cycle regime owing to the absence of internal inclusion-induced failure. For the substrate-induced crack initiations, high-density dislocations are found to be accumulated around the carbide particle-matrix interface, which may be the cause of crack initiation in the inherent structure due to strain localization.

Originality/value

The effect of inclusions and inherent microstructure on fatigue behavior of 34Cr2Ni2Mo steel up to 1E10 cycles.

Highlights

  • Fatigue failure occurs even at a lifetime of 5.76E9 cycles.

  • Surface inclusion induced premature failures.

  • Inherent microstructure tolerates inclusions at lower stress level.

  • Internal carbides promote substrate-induced crack initiations.

Fatigue failure occurs even at a lifetime of 5.76E9 cycles.

Surface inclusion induced premature failures.

Inherent microstructure tolerates inclusions at lower stress level.

Internal carbides promote substrate-induced crack initiations.

Details

International Journal of Structural Integrity, vol. 13 no. 5
Type: Research Article
ISSN: 1757-9864

Keywords

Book part
Publication date: 10 October 2022

Ibiyemi Omeihe and Christian Harrison

The research on authentic leadership has recently become a priority in leadership literature. As policy-makers and practitioners seek evidence in addressing leadership…

Abstract

The research on authentic leadership has recently become a priority in leadership literature. As policy-makers and practitioners seek evidence in addressing leadership malfeasance across organisations and the broader society. Hence, a growing body of evidence suggests that the authentic leadership construct is plagued with a lack of conceptual clarity, embodying philosophical ambiguity and demographic limitations. Consequently, the study provides crucial descriptions of authentic leadership within a developing economy context.

The study’s findings show that three perspectives were evident from the authentic leaders and followers in defining authentic leadership. Authentic leaders perceive the construct from dual perspectives while followers have a singular outlook. The first perspective provided by the authentic leaders focussed on their leadership and how the burden of the role influenced their approach. The second perspective linked authentic leadership to areas that improve organisational outcomes. An unconscious awareness of the necessities that support organisational performance underpins the descriptions by the leaders. Remarkably, followers provide the last perspective that emphasises the relational aspects of the authentic leader and how it influences them in their daily lives. The chapter concludes by reflecting on the study’s contributions and limitations before charting the path for future research.

Details

The African Context of Business and Society
Type: Book
ISBN: 978-1-80117-853-2

Keywords

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.

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. 35 no. 4/5
Type: Research Article
ISSN: 1741-0398

Keywords

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