Giandomenico Di Domenico, Maria Teresa Borges-Tiago, Giampaolo Viglia and Yang Alice Cheng
Ming-Feng Su, Kuo-Chih Cheng, Shao-Hsi Chung and Der-Fa Chen
When the management of an information technology (IT) manufacturing firm perceives a need for innovation due to any threat in the external environment, it will be prompted to use…
Abstract
Purpose
When the management of an information technology (IT) manufacturing firm perceives a need for innovation due to any threat in the external environment, it will be prompted to use organizational resources to support innovation and improve organizational performance through the implementation of the innovation. The purpose of this paper is to explore whether an IT manufacturing firm’s budget slack, information quality of information system (IS), process innovation and product innovation would interact to collectively form an innovation capacity, which is termed “innovation capability configuration (ICC)”, and whether ICC mediates the relationship between perceived innovation requirement and organizational performance.
Design/methodology/approach
To answer these questions, a structural equation model was built and a questionnaire survey was conducted to collect data from research and development and production managers of IT manufacturing companies listed on the Taiwan Stock Exchange and Over-The-Counter markets.
Findings
The results showed that budget slack, IS information quality, process innovation and product innovation are all significantly related to ICC, in which high-quality information and low level of budget slack are the key factors that underpin the innovation capacity. In addition, ICC has a full mediation effect, that is, perceived innovation requirement positively influences ICC, which, in turn, improves organizational performance.
Research limitations/implications
Because all items in a questionnaire were answered by a manager, the common method variance might exist in this study. In addition, the effective recovery rate of the questionnaire was not high due to which the non-response bias might occur. Following the research limitations, several future research recommendations are proposed.
Practical implications
This study offers managerial implications for the development of an IT manufacturing firm’s innovation strategy and structure to smooth the implementation of innovation in the severe environment.
Originality/value
The study is the first attempt to integrate the four elements clearly illustrating the ICC, which is a more complete innovation strategy, thus contributing to improve the past fragmental studies and clarify some controversial points existing in the extant innovation research.
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Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei and Jinzhao Liu
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience…
Abstract
Purpose
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience. Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.
Design/methodology/approach
First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. Then, the Short-Time Fourier Transform (STFT) is performed to calculate the marginal spectra. Finally, the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds. To improve computational efficiency, permutation entropy (PE) is used as a fast indicator to identify turnouts with potential problems.
Findings
Under continuous hunting conditions, the PE is less than 0.90; the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7, and there is an energy band in the STFT time-frequency map, which corresponds to a frequency distribution range of 1–2 Hz.
Originality/value
The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts. On this basis, an effective diagnostic method has been proposed. With a focus on practical engineering applications, a rapid screening index for identifying potential issues has been proposed, significantly enhancing the efficiency of diagnostic processes.
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FengShou Liu, Guang Yang, Zhaoyang Chen, Yinhua Zhang and Qingyue Zhou
The purpose of this paper is to summarize the status and characteristics of rail technology of high-speed railway in China, and point out the development direction of rail…
Abstract
Purpose
The purpose of this paper is to summarize the status and characteristics of rail technology of high-speed railway in China, and point out the development direction of rail technology of high-speed railway.
Design/methodology/approach
This study reviews the evolution of high-speed rail standards in China, comparing their chemical composition, mechanical attributes and geometric specifications with EN standards. It delves into the status of rail production technology, shifts in key performance indicators and the quality characteristics of rails. The analysis further examines the interplay between wheels and rails, the implementation of grinding technology and the techniques for inspecting rail service conditions. It encapsulates the salient features of rail operation and maintenance within the high-speed railway ecosystem. The paper concludes with an insightful prognosis of high-speed railway technology development in China.
Findings
The rail standards of high-speed railway in China are scientific and advanced, highly operational and in line with international standards. The quality and performance of rail in China have reached the world’s advanced level. The 60N profile guarantees the operation quality of wheel–rail interaction effectively. The rail grinding technology system scientifically guarantees the long-term good service performance of the rail. The rail service state detection technology is scientific and efficient. The rail technology will take “more intelligent” and “higher speed” as the development direction to meet the future needs of high-speed railway in China.
Originality/value
The development direction of rail technology for high-speed railway in China is defined, which will promote the continuous innovation and breakthrough of rail technology.
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Di Cheng, Yuqing Wen, Zhiqiang Guo, Xiaoyi Hu, Pengsong Wang and Zhikun Song
This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).
Abstract
Purpose
This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).
Design/methodology/approach
Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.
Findings
The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.
Originality/value
Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.
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Zhao Zhang, Jie Yang and Jusong Jiang
This paper aims to propose a novel adaptive Kalman filter (APRKF) designed to accommodate the operational environment of maglev pipeline trains, enhancing positioning accuracy by…
Abstract
Purpose
This paper aims to propose a novel adaptive Kalman filter (APRKF) designed to accommodate the operational environment of maglev pipeline trains, enhancing positioning accuracy by mitigating the impact of noise and sensor errors.
Design/methodology/approach
This approach is built upon the Kalman filtering algorithm, using a limited-memory weighted method to derive adaptive factors, while establishing judgment thresholds to constrain the range of their variation.
Findings
A comparative analysis with the traditional Kalman filter and the Sage-Husa adaptive filter reveals that APRKF offers superior speed estimation performance while effectively mitigating error accumulation caused by speed integration. The results indicate that APRKF excels in both speed and position estimation, demonstrating its effectiveness in improving estimation accuracy.
Originality/value
This study proposes an innovative method for the velocity and position estimation system of maglev tube-track trains.
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Xiaojie Xu and Yun Zhang
For policymakers and participants of financial markets, predictions of trading volumes of financial indices are important issues. This study aims to address such a prediction…
Abstract
Purpose
For policymakers and participants of financial markets, predictions of trading volumes of financial indices are important issues. This study aims to address such a prediction problem based on the CSI300 nearby futures by using high-frequency data recorded each minute from the launch date of the futures to roughly two years after constituent stocks of the futures all becoming shortable, a time period witnessing significantly increased trading activities.
Design/methodology/approach
In order to answer questions as follows, this study adopts the neural network for modeling the irregular trading volume series of the CSI300 nearby futures: are the research able to utilize the lags of the trading volume series to make predictions; if this is the case, how far can the predictions go and how accurate can the predictions be; can this research use predictive information from trading volumes of the CSI300 spot and first distant futures for improving prediction accuracy and what is the corresponding magnitude; how sophisticated is the model; and how robust are its predictions?
Findings
The results of this study show that a simple neural network model could be constructed with 10 hidden neurons to robustly predict the trading volume of the CSI300 nearby futures using 1–20 min ahead trading volume data. The model leads to the root mean square error of about 955 contracts. Utilizing additional predictive information from trading volumes of the CSI300 spot and first distant futures could further benefit prediction accuracy and the magnitude of improvements is about 1–2%. This benefit is particularly significant when the trading volume of the CSI300 nearby futures is close to be zero. Another benefit, at the cost of the model becoming slightly more sophisticated with more hidden neurons, is that predictions could be generated through 1–30 min ahead trading volume data.
Originality/value
The results of this study could be used for multiple purposes, including designing financial index trading systems and platforms, monitoring systematic financial risks and building financial index price forecasting.
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Eliana Andréa Severo, Marcia Marisa Santanna Perin, Julio Cesar Ferro De Guimarães and Elaine Taufer
Environmental problems and natural resources scarcity are changing contemporary organizations management. The current society quest sustainable companies, mostly concern with the…
Abstract
Purpose
Environmental problems and natural resources scarcity are changing contemporary organizations management. The current society quest sustainable companies, mostly concern with the consumption and efficient management of natural resources; those innovative and sustainable companies have the capacity to create innovations and beneficial outcomes for the environment and society. The purpose of this paper is to analyze the relevance of sustainable innovation on products and services innovation, in companies in the northern region of Rio Grande do Sul (Brazil).
Design/methodology/approach
In the research, the authors applied a descriptive and quantitative method, through exploratory factor analysis (EFA), with the use of varimax rotation and multiple linear regression. The final sample of the survey consists of 107 respondents.
Findings
The results indicate that sustainable innovation (SI) has an influence on products and services innovations in the organizations, moreover the process innovations can provide reduced energy consumption and waste emissions, indicating the awareness regarding the environmental issues.
Research limitations/implications
It is emphasized that environmental issues must be linked to investments in environmental education projects in organizations, thus enabling a systemic and effective vision on this issue.
Practical implications
This research presents managerial and academic contributions, as it has developed a scale to measure the importance of SI on products and services innovation.
Originality/value
The study developed a measurement model, with observable variables based on the specialized literature. The measurement model consists of the constructs of product/service innovation and SI, which were statistically validated through the tests of normality, reliability and EFA.