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Article
Publication date: 27 September 2021

Xiuyuan Fang, Marshall S. Jiang and Yugang Li

Intangible resources (IRs) play an important role in enterprise innovation; previous studies find inconsistent results (positive and negative). The authors develop and test a…

399

Abstract

Purpose

Intangible resources (IRs) play an important role in enterprise innovation; previous studies find inconsistent results (positive and negative). The authors develop and test a framework to analyze IRs to see whether and how to impact firm innovation performance to reconcile the conflicting results.

Design/methodology/approach

This study empirically examined the curvilinear effect of IRs and innovation performance (IP) based on data from the Annual Census of Chinese Industrial Enterprises. The moderating effect of institutional development (ID) and state ownership (SO) in the relationship between firms' IRs and IP was also examined.

Findings

It was found that there is a U-shaped relationship between IRs and IP. Moreover, the institutional development weakens the U-shaped relationship.

Originality/value

The U-shaped relationship explains the inconsistent results in previous studies. It offers some important implications for managers and policymakers, who must understand the role of IRs.

Details

European Journal of Innovation Management, vol. 26 no. 2
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 19 October 2018

Jun Jiao, Bifeng Song, Yubin Li, Yugang Zhang and Jianhua Xu

The purpose of this paper is to develop a propeller performance measurement method for high-altitude platforms by analyzing of the propeller aerodynamic characteristics and…

189

Abstract

Purpose

The purpose of this paper is to develop a propeller performance measurement method for high-altitude platforms by analyzing of the propeller aerodynamic characteristics and application of a mobile testing system.

Design/methodology/approach

An experimental approach is adopted for this study. Considering the aerodynamic characteristics of the high-altitude propeller, the similitude of the scaled propeller model in the experiment is analyzed and determined. Then, the experimental method and procedure to obtain the propeller’s performance under different altitudes are presented, and the structure of hardware and software and the key techniques of the testing system are introduced in detail.

Findings

The applicability and effectiveness of the testing system is verified through comparison between experimental and numerical results. In addition, the performance of the 6.8-m propeller for a high-altitude airship is tested, which proves that the high-altitude propeller can meet the requirements of the propulsion system.

Practical implications

The testing methodology and the mobile testing system could be applied to aerodynamic performance evaluation of the high-altitude propellers under different altitudes.

Originality/value

This testing approach exhibits significant time and cost benefits over many other experimental methods to obtain the performance of the high-altitude propellers, which is important in the preliminary design of the propulsion system for high-altitude platforms.

Details

Aircraft Engineering and Aerospace Technology, vol. 90 no. 9
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 14 December 2017

Hong Xiao, Yugang Duan, Zhongbo Zhang and Ming Li

This paper aims to investigate an approach for mental fatigue detection and estimation of assembly operators in the manual assembly process of complex products, with the purpose…

377

Abstract

Purpose

This paper aims to investigate an approach for mental fatigue detection and estimation of assembly operators in the manual assembly process of complex products, with the purpose of founding the basis for adaptive transfer and demonstration of assembly process information (API), and eventually making the manual assembly process smarter and more human-friendly.

Design/methodology/approach

The proposed approach detects and estimates the mental state of assembly operators by electroencephalography (EEG) signal recording and analysis in an engine assembly experiment. When the subjects perform assembly tasks, their EEG signal is recorded by a portable EEG recording system called Emotiv EPOC+ headset. The feature set of the EEG signal is then extracted by calculating its power spectrum density (PSD), followed by data dimension reduction based on principal component analysis (PCA). The dimension-reduced data are classified by using support vector machines (SVMs), and hence, the mental state of assembly operators can be estimated during the assembly process.

Findings

The experimental result shows that the proposed approach is able to estimate the mental state of assembly operators within an acceptable accuracy range, and the PCA-based dimension reduction method performs very well by representing the high-dimensional EEG feature set with just a few principal components.

Originality/value

This paper provides theoretical and experimental basis for the API transfer and demonstration based on human cognition. It provides a new idea to seek balance between the improvement of production efficiency and the sustainable utilization of human resources.

Details

Assembly Automation, vol. 38 no. 2
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 20 February 2017

Yugang Yin and Bin Tan

The purpose of this paper is to find out whether the election of star analysts leads to the conflict of interests between analysts\institutional investors and individual…

1754

Abstract

Purpose

The purpose of this paper is to find out whether the election of star analysts leads to the conflict of interests between analysts\institutional investors and individual investors. And then, further investigate how the election results to influence the individual investors’ decision making.

Design/methodology/approach

Given the fact that earnings forecasts and stock ratings are the most important foundations for the investor’s investment decision, the authors investigate the relationship among the earnings forecasts, abnormal returns and the election of star analyst. This paper further analyzes the impact factors on investors’ decision. The data used in this paper for star analysts’ information, analysts’ forecast and recommendations, as well as stock performances-related data are from 2005 to 2012.

Findings

This paper finds that mass media cannot select analysts with high forecast accuracy, and then misleads investors. It demonstrates that the analysts with poorer forecast ability and more optimistic stock recommendations are more prone to be entitled as star analysts by mass media, and these titled star analysts tend to show a poorer performance. Therefore, the star analyst worsens investors’ cognition on analysts forecast ability and then misleads investors’ decision making.

Social implications

Media plays a critical role in corporate governance, information collection and diffusion and reducing the information asymmetry, however, it is good to know the role of media in financial markets from a broader perspective. Because media may also bring negative factors to the financial markets such as misguiding the investors and intensify the conflict of interests between analyst and individual investors.

Originality/value

This paper supports a new perspective of the role of mass media in financial market, which is different from existing studies.

Details

China Finance Review International, vol. 7 no. 1
Type: Research Article
ISSN: 2044-1398

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Article
Publication date: 4 April 2019

Ruihe Yan, Kem Z.K. Zhang and Yugang Yu

Peer-to-peer (P2P) accommodation has become increasingly popular in recent years, and hotels are facing unprecedented impacts. Attracting new consumers and retaining existing ones…

1633

Abstract

Purpose

Peer-to-peer (P2P) accommodation has become increasingly popular in recent years, and hotels are facing unprecedented impacts. Attracting new consumers and retaining existing ones are critical to the success of P2P accommodation and hotels. The purpose of this paper is to examine three categories of antecedents for hotels consumers’ switching intention: push (i.e. satiation), pull (i.e. perceived value) and mooring (i.e. optimal stimulation level) factors using push–pull–mooring (PPM) model.

Design/methodology/approach

Airbnb was chosen as the research context. An online survey was conducted to examine the proposed research model and hypotheses. A total of 292 valid data were collected from Airbnb users through a survey.

Findings

The findings show that the three categories of factors have positive and significant effects on switching intention. Additionally, the mooring factor has a significant moderating effect on the relationship between pull factors and switching intention. Furthermore, the mooring factor affects both pull and push factors.

Originality/value

First, this is one of the early studies to pay attention to switching intention from hotels to P2P accommodation. Second, to provide a comprehensive understanding of consumers’ switching intention, the authors use PPM model to establish the research framework. This research improves the understanding of consumer’s switching intention by identifying the push and pull factors based on the differences between hotels and P2P accommodation in accordance with optimal stimulation level theory and consumer value theory.

Details

Information Technology & People, vol. 32 no. 6
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 5 September 2018

Ying Huang, Chao Hao, Jian Liu, Xiaohui Guo, Yangyang Zhang, Ping Liu, Caixia Liu, Yugang Zhang and Xiaoming Yang

The purpose of this study is to present a highly stretchable and flexible strain sensor with simple and low cost of fabrication process and excellent dynamic characteristics…

514

Abstract

Purpose

The purpose of this study is to present a highly stretchable and flexible strain sensor with simple and low cost of fabrication process and excellent dynamic characteristics, which make it suitable for human motion monitoring under large strain and high frequency.

Design/methodology/approach

The strain sensor was fabricated using the rubber/latex polymer as elastic carrier and single-walled carbon nanotubes (SWCNTs)/carbon black (CB) as a synergistic conductive network. The rubber/latex polymer was pre-treated in naphtha and then soaked in SWCNTs/CB/silicon rubber composite solution. The strain sensing and other performance of the sensor were measured and human motion tracking applications were tried.

Findings

These strain sensors based on aforementioned materials display high stretchability (500 per cent), excellent flexibility, fast response (approximately 45 ms), low creep (3.1 per cent at 100 per cent strain), temperature and humidity independence, superior stability and reproducibility during approximately 5,000 stretch/release cycles. Furthermore, the authors used these composites as human motion sensors, effectively monitoring joint motion, indicating that the stretchable strain sensor based on the rubber/latex polymer and the synergetic effects of mixed SWCNTs and CB could have promising applications in flexible and wearable devices for human motion tracking.

Originality/value

This paper presents a low-cost and a new type of strain sensor with excellent performance that can open up new fields of applications in flexible, stretchable and wearable electronics, especially in human motion tracking applications where very large strain should be accommodated by the strain sensor.

Details

Sensor Review, vol. 39 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 16 July 2021

Xiaoping Xu, Yugang Yu, Guowei Dou and Xiaomei Ruan

The purpose of this paper is to analyze the operational decisions of a manufacturer who produces multiple products and the government's selection of cap-and-trade and carbon tax…

514

Abstract

Purpose

The purpose of this paper is to analyze the operational decisions of a manufacturer who produces multiple products and the government's selection of cap-and-trade and carbon tax regulations.

Design/methodology/approach

This paper explores the production decisions of a multi-product manufacturer under cap-and-trade and carbon tax regulations in a cap-dependent carbon trading price setting and compares carbon emission, the manufacturer's profits and social welfare under the two regulations. Game theory and extreme value theory are used to analyze our models.

Findings

First, the authors find that the optimal profit of the manufacturer (the optimal cap) increases and then decreases with the cap (the unit carbon emission of product). Second, if the environmental damage coefficient is moderate, the optimal cap of unit environmental damage coefficient is independent of the product carbon emission or other related product parameters. Ultimately, cap-and-trade regulation always generates more carbon emission than carbon tax regulation. And cap-and-trade regulation (carbon tax regulation) can generate more social welfare if the environmental damage coefficient is low (high), and the social welfare under the two regulations is equal to each other, or otherwise.

Originality/value

This paper contributes the prior literature by considering the inverse relationship of the allocated cap and the carbon trading price and discusses the social welfare under cap-and-trade and carbon tax regulations. Some important and new results are found, which can guide the government's implementation of the two regulations.

Details

Kybernetes, vol. 51 no. 8
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 20 July 2023

Ali Amin, Rizwan Ali, Ramiz Ur Rehman and Collins G. Ntim

This study aims to examine the impact of chief executive officers’ (CEOs’) personal characteristics on firms’ risk taking and the moderating role of family ownership on this…

604

Abstract

Purpose

This study aims to examine the impact of chief executive officers’ (CEOs’) personal characteristics on firms’ risk taking and the moderating role of family ownership on this relationship.

Design/methodology/approach

This study used 2,647 firm-year observations of non-financial firms listed on Pakistan Stock Exchange over the period 2013–2021. To test the hypotheses, the authors used ordinary least squares regression and, to resolve the possible endogeneity problem, the authors used system generalized method of moments technique.

Findings

Drawing insights first from upper echelons theory, the authors report that CEOs with business, economics, finance and/or management educational background and female CEOs reduce firms’ risk-taking behaviour. Further, using insights from social and organizational identity theoretical perspectives, the results indicate that due to strong family affiliation and organizational identity, family owners exhibit risk aversion behaviour and moderate this relationship.

Originality/value

This study provides novel evidence of risk averse behaviour of CEOs with business, economics, finance and/or management educational background and female CEOs along with moderating impact of family ownership on this relationship in an emerging economy. Overall, the results extend empirical support for upper echelons and social identity theories in an emerging market context.

Details

Gender in Management: An International Journal , vol. 39 no. 2
Type: Research Article
ISSN: 1754-2413

Keywords

Available. Open Access. Open Access
Article
Publication date: 27 December 2021

Nengchao Lyu, Yugang Wang, Chaozhong Wu, Lingfeng Peng and Alieu Freddie Thomas

An individual’s driving style significantly affects overall traffic safety. However, driving style is difficult to identify due to temporal and spatial differences and scene…

1897

Abstract

Purpose

An individual’s driving style significantly affects overall traffic safety. However, driving style is difficult to identify due to temporal and spatial differences and scene heterogeneity of driving behavior data. As such, the study of real-time driving-style identification methods is of great significance for formulating personalized driving strategies, improving traffic safety and reducing fuel consumption. This study aims to establish a driving style recognition framework based on longitudinal driving operation conditions (DOCs) using a machine learning model and natural driving data collected by a vehicle equipped with an advanced driving assistance system (ADAS).

Design/methodology/approach

Specifically, a driving style recognition framework based on longitudinal DOCs was established. To train the model, a real-world driving experiment was conducted. First, the driving styles of 44 drivers were preliminarily identified through natural driving data and video data; drivers were categorized through a subjective evaluation as conservative, moderate or aggressive. Then, based on the ADAS driving data, a criterion for extracting longitudinal DOCs was developed. Third, taking the ADAS data from 47 Kms of the two test expressways as the research object, six DOCs were calibrated and the characteristic data sets of the different DOCs were extracted and constructed. Finally, four machine learning classification (MLC) models were used to classify and predict driving style based on the natural driving data.

Findings

The results showed that six longitudinal DOCs were calibrated according to the proposed calibration criterion. Cautious drivers undertook the largest proportion of the free cruise condition (FCC), while aggressive drivers primarily undertook the FCC, following steady condition and relative approximation condition. Compared with cautious and moderate drivers, aggressive drivers adopted a smaller time headway (THW) and distance headway (DHW). THW, time-to-collision (TTC) and DHW showed highly significant differences in driving style identification, while longitudinal acceleration (LA) showed no significant difference in driving style identification. Speed and TTC showed no significant difference between moderate and aggressive drivers. In consideration of the cross-validation results and model prediction results, the overall hierarchical prediction performance ranking of the four studied machine learning models under the current sample data set was extreme gradient boosting > multi-layer perceptron > logistic regression > support vector machine.

Originality/value

The contribution of this research is to propose a criterion and solution for using longitudinal driving behavior data to label longitudinal DOCs and rapidly identify driving styles based on those DOCs and MLC models. This study provides a reference for real-time online driving style identification in vehicles equipped with onboard data acquisition equipment, such as ADAS.

Details

Journal of Intelligent and Connected Vehicles, vol. 5 no. 1
Type: Research Article
ISSN: 2399-9802

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Article
Publication date: 14 June 2011

Duan Yugang, Zhou Yuan, Tang Yiping and Li Dichen

The purpose of this paper is to improve the mechanical and thermal properties of photosensitive resin for rapid prototyping (RP) by modifying with nano‐TiO2.

1680

Abstract

Purpose

The purpose of this paper is to improve the mechanical and thermal properties of photosensitive resin for rapid prototyping (RP) by modifying with nano‐TiO2.

Design/methodology/approach

The silane coupling agent was selected to treat the surface of anatase nano‐TiO2 particles. The IR spectrum showed that the hydroxyl (−OH) group on the surface of nano‐TiO2 reacted with the coupling agent effectively. The effects of TiO2 content on the curing depth and viscosity of the photosensitive resin were studied by experiments. The mechanical properties including tensile strength, tensile modulus, flexural strength and hardness were tested according to ASTM standards. The thermal stability of modified photosensitive resin was tested by differential scanning calorimetry.

Findings

The comprehensive performance of the modified photosensitive resin was good when TiO2 content was at 0.25 per cent, the tensile strength was increased by 89 per cent from 25.26  to 47.82 MPa, the tensile modulus increased by 18 per cent from 2,001  to 2,362 MPa, the flexural strength and the hardness increased by 6 and 5 per cent, respectively. In addition, the plasticity and heat stability of modified photosensitive resin were also improved obviously.

Originality/value

The paper provides a low‐cost method to greatly improve the performance of photosensitive resin for RP. The modified photosensitive resin prepared according to the formulas in this paper has been successfully employed in RP equipment of Xi'an Jiaotong University, China.

Details

Rapid Prototyping Journal, vol. 17 no. 4
Type: Research Article
ISSN: 1355-2546

Keywords

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