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1 – 10 of over 1000Jiangjun Wan, Yuxin Zhao, Miaojie Chen, Xi Zhu, Qingyu Lu, Yuwei Huang, Yutong Zhao, Chengyan Zhang, Wei Zhu and Jinxiu Yang
The construction industry accounts for a large proportion of the economy of developing countries, but the connotation and influencing factors of high-quality development (HQD) are…
Abstract
Purpose
The construction industry accounts for a large proportion of the economy of developing countries, but the connotation and influencing factors of high-quality development (HQD) are still unclear. This study aims to gain a more comprehensive insight into the current development status of the regional construction industry under China's HQD orientation and the obstructive factors affecting its development and to provide informative suggestions for its HQD prospects.
Design/methodology/approach
In this study, the construction industry of 16 cities in the Chengdu-Chongqing economic circle (CCEC), a new region in southwest China, was used as the research object to collect data from the 2006–2019 yearbooks, construct an evaluation index system for HQD of the construction industry, derive the development level of the construction industry using the entropy value method and spatial autocorrelation method and then apply the barrier Diagnostic model was used to compare and analyze the impact level of each index.
Findings
In terms of the time dimension, the development of the construction industry in CCEC is characterized by “high in the twin core and low in the surrounding area”, with unbalanced and insufficient development; in terms of spatial correlation, some factors have positive aggregation in spatial distribution, but the peripheral linkage decreases; through barrier analysis, the impact of different barrier factors is different.
Originality/value
This paper will help governments and enterprises in developing countries to make urban planning and management policies to fundamentally improve the development of the construction industry in underdeveloped regions.
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Min Qin, Wei Zhu, Jinxia Pan, Shuqin Li and Shanshan Qiu
Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous…
Abstract
Purpose
Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous literature rarely focused on both. The purpose of this paper is to explain user contribution mechanism by identifying content contribution and product contribution.
Design/methodology/approach
This research chose Xiaomi-hosted online product community (bbs.xiaomi.cn) and Huawei-hosted online product community (club.huawei.com) where users can freely share ideas and buy products at the same time. Data were crawled from 109,665 community users to construct dependent variable measurement, and 611 questionnaires were used to verify research hypotheses.
Findings
The results indicate that both cognitive needs and personal integration needs have a significant positive impact on browse behavior; social integration needs and hedonic needs have a significant positive impact on content contribution behavior. Browse behavior not only directly affects but also indirectly influences product contribution through content contribution behavior.
Research limitations/implications
Findings of this research provide community managers with useful insights into the relationship between content contribution and product contribution.
Originality/value
This study explains the formation mechanism of user product contribution and reveals the relationship between user content contribution and product contribution in online product community. This paper provides a different way of theorizing user contributions by incorporating uses and gratifications theory into the “Motivation-Behavior-Result” framework.
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Ming Gao, Anhui Pan, Yi Huang, Jiaqi Wang, Yan Zhang, Xiao Xie, Huanre Han and Yinghua Jia
The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber…
Abstract
Purpose
The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber (CR) exhibit insufficient aging resistance and low-temperature resistance, respectively. In order to develop type 120 emergency valve rubber diaphragms with long-life and high-performance, low-temperatureresistant CR and NR were processed.
Design/methodology/approach
The physical properties of the low-temperature-resistant CR and NR were tested by low-temperature stretching, dynamic mechanical analysis, differential scanning calorimetry and thermogravimetric analysis. Single-valve and single-vehicle tests of type 120 emergency valves were carried out for emergency diaphragms consisting of NR and CR.
Findings
The low-temperature-resistant CR and NR exhibited excellent physical properties. The elasticity and low-temperature resistance of NR were superior to those of CR, whereas the mechanical properties of the two rubbers were similar in the temperature range of 0 °C–150 °C. The NR and CR emergency diaphragms met the requirements of the single-valve test. In the low-temperature single-vehicle test, only the low-temperature sensitivity test of the NR emergency diaphragm met the requirements.
Originality/value
The innovation of this study is that it provides valuable data and experience for future development of type 120 valve rubber diaphragms.
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Birol Yıldız and Şafak Ağdeniz
Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show…
Abstract
Purpose: The main aim of the study is to provide a tool for non-financial information in decision-making. We analysed the non-financial data in the annual reports in order to show the usage of this information in financial decision processes.
Need for the Study: Main financial reports such as balance sheets and income statements can be analysed by statistical methods. However, an expanded financial reporting framework needs new analysing methods due to unstructured and big data. The study offers a solution to the analysis problem that comes with non-financial reporting, which is an essential communication tool in corporate reporting.
Methodology: Text mining analysis of annual reports is conducted using software named R. To simplify the problem, we try to predict the companies’ corporate governance qualifications using text mining. K Nearest Neighbor, Naive Bayes and Decision Tree machine learning algorithms were used.
Findings: Our analysis illustrates that K Nearest Neighbor has classified the highest number of correct classifications by 85%, compared to 50% for the random walk. The empirical evidence suggests that text mining can be used by all stakeholders as a financial analysis method.
Practical Implications: Combining financial statement analyses with financial reporting analyses will decrease the information asymmetry between the company and stakeholders. So stakeholders can make more accurate decisions. Analysis of non-financial data with text mining will provide a decisive competitive advantage, especially for investors to make the right decisions. This method will lead to allocating scarce resources more effectively. Another contribution of the study is that stakeholders can predict the corporate governance qualification of the company from the annual reports even if it does not include in the Corporate Governance Index (CGI).
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The purpose of technology mergers and acquisitions (M&A) is to achieve innovation. The authors use the data from the China Patent Research System of China National Intellectual…
Abstract
Purpose
The purpose of technology mergers and acquisitions (M&A) is to achieve innovation. The authors use the data from the China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction to technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation.
Design/methodology/approach
The authors use data from China Patent Research System of China National Intellectual Property Administration to classify technical correlations into three types: similar, complementary and nonrelatedness (cross-sectoral category). And the authors explore three issues: the market reaction of technology-oriented M&A, the impact of technology-oriented M&A on goodwill and how technology-oriented M&A affects innovation. The empirical research shows that the cross-sectoral M&A is popular in the market and is positively correlated with cumulative abnormal return (CAR) and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill.
Findings
The empirical research shows that cross-sectoral M&A is popular in the market and is positively correlated with CAR and premium rate of M&A. However, the technology-similarity M&A, which is committed to in-depth exploration of original technology, is negatively correlated with CAR and goodwill. In addition, empirical results show that there is an inverted U-shaped relationship between technology-oriented M&A and innovation output, and the inflection points are 41.8%, 48.9% and 38.8%, respectively.
Originality/value
The research contributions of this paper are as follows: first, most domestic studies simply and roughly measure the degree of technical relevance based on whether the firms belong to the same industry and whether there is common knowledge between them, but the authors provide a more accurate measure of technology-oriented M&A. Second, in the research on the economic consequences of technology-oriented M&As, a large number of literatures have mainly focused on the innovation performance of the acquirer after deals, including the number of patent applications, the number of patent citations, innovation output, etc., and they pay less attention to its impact on the market reaction and goodwill.
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Huiyi Xu, Zhiming Gao, Yang Yang and Wenbin Hu
The purpose of this study is to ensure the safe use of carbon fiber composite pressure vessels in the nuclear industry environment.
Abstract
Purpose
The purpose of this study is to ensure the safe use of carbon fiber composite pressure vessels in the nuclear industry environment.
Design/methodology/approach
This study investigated the degradation behaviors of carbon fiber reinforced composite (CFRP) using the specific corrosive media HF solution, with a focus on the damage to the surface epoxy layer. The degradation behaviors of CFRP in HF solution were examined by electrochemical methods and surface characterization, using HCl, NaCl and NaF solution for comparison.
Findings
The results showed that the specimen in HF solution will have a value of |Z|0.01 Hz one order of magnitude lower, a substantially lower contact angle, more breakage of the surface epoxy and the stronger O─H peak and weaker C─O─C peak in the Fourier transform infrared spectrum, indicating severe hydrolytic damage to the surface epoxy.
Originality/value
The work focuses on the degradation damage to CFRP surface epoxy by specific corrosive media HF.
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Junchao Zhu, GuangCheng Wei, Chen Zong and DaKuan Xin
This paper aim to take the ship shaft stern bearing as the research object, and studies the influence of journal axial vibration on bearing dynamic characteristics under different…
Abstract
Purpose
This paper aim to take the ship shaft stern bearing as the research object, and studies the influence of journal axial vibration on bearing dynamic characteristics under different misaligned angles and rotation speeds.
Design/methodology/approach
Computational fluid dynamics (CFD) and harmonic excitation method were used to build bearing unstable lubrication model, and the dynamic mesh technology was used in calculation.
Findings
The results indicate that journal axial vibration has a significant effect on bearing dynamic characteristics, like maximum oil film pressure, bearing stiffness and damping coefficients, and the effect is positively correlated with journal misaligned angle. The effect of shaft rotation speed and journal axial vibration on bearing dynamics characteristics are independent; they have no coupling. Bearing axial stiffness is mainly affected by the journal axial displacement, bearing axial damping is mainly affected by journal axial velocity and they are positively correlated with the misaligned angle. The influence of rotational speed on bearing axial stiffness and axial damping is not obvious.
Originality/value
This paper establishes the bearing dynamic model by CFD and harmonic excitation method with consideration of cavitation effect and analyzing the influence of journal axial vibration on the dynamic characteristics. The results are benefit to the design of ship propulsion shaft and the selection of stern bearing. Also, they are of great significance to improve the operation stability of the shaft bearing system and the vitality of the ship.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2022-0337/
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Hongyan Zhu, Pengzhen Lv, Xiaochong Wu, Yuansheng Wang, Wei Liu, Huagang Lin and Zhufeng Yue
This paper aims to propose a two-stage vibration isolation system for large airborne equipment to isolate aircraft vibration load.
Abstract
Purpose
This paper aims to propose a two-stage vibration isolation system for large airborne equipment to isolate aircraft vibration load.
Design/methodology/approach
First, the vibration isolation law of the discrete model of large airborne equipment under different damping ratios, stiffness ratios and mass ratios is analyzed, which guides the establishment of a three-dimensional solid model of large airborne equipment. Subsequently, the vibration isolation transfer efficiency is analyzed based on the three-dimensional model of the airborne equipment, and the angular and linear vibration responses of the two-stage vibration isolation system under different frequencies are studied.
Findings
Finally, studies have shown that the steady-state angular vibration at the non-resonant frequency changes little. In contrast, the maximum angular vibration at the resonance peak reaches 0.0033 rad, at least 20 times the response at the non-resonant frequency. The linear vibration at the resonant frequency is at least 2.14 times the response at the non-resonant frequency. Obviously, the amplification factor of linear vibration is less than that of angular vibration, and angular vibration has the most significant effect on the internal vibration of airborne equipment.
Originality/value
The two-stage vibration isolation equipment designed in this paper has a positive guiding significance for the vibration isolation design of large airborne equipment.
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Keywords
The purpose of this study is to explore the coopetition relationships between platform owners and complementors in complementary product markets. Drawing on the coopetition…
Abstract
Purpose
The purpose of this study is to explore the coopetition relationships between platform owners and complementors in complementary product markets. Drawing on the coopetition theory, the authors examined the evolutionary trends of the coopetition relationships between platform owners and complementors and explore the main influence factors.
Design/methodology/approach
The authors used Lotka–Volterra model to analyze the coopetition relationship between platform owners and complementors, including the evolutionary trends as well as the results. Considering the feasibility of sample data collection, simulation is used to verify the effects of different factors on the evolution of coopetition relationships.
Findings
The results show that there are four possible results of the competition in the complementary products market. That comprises “winner-take-all for platform owners,” “winner-take-all for complementors,” “stable competitive coexistence” and “unstable competitive coexistence,” where “stable competitive coexistence” is the optimal evolutionary state. Moreover, the results of competitive evolution are determined by innovation subjects’ interaction parameters. However, the natural growth rate, the initial market benefits of the two innovators and the overall benefits of the complementary product markets influence the time to reach a steady state.
Originality/value
The study provides new insights into the entry of platform owners into complementary markets, and the findings highlight the fact that in complementary product markets, platform owners and complementors should seek “competitive coexistence” rather than “winner-takes-all.” Moreover, the authors also enrich the coopetition theory by revealing the core factors that influence the evolution of coopetition relationships, which further enhance the analysis of the evolutionary process of coopetition relationships.
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Yuan Sun, Chenyan Gu, Xinjie Zhou and Rong-An Shang
In the digital age, enterprise social media (ESM) use is becoming more prevalent in the workplace. The “group” function is a very important part in the use of ESM. This paper…
Abstract
Purpose
In the digital age, enterprise social media (ESM) use is becoming more prevalent in the workplace. The “group” function is a very important part in the use of ESM. This paper explores how the characteristics of employees' task requirements affect their group participation behaviors on the ESM.
Design/methodology/approach
Based on information processing theory, the authors establish a two-stage research model to explore the impact of task characteristics on employees' online group participation behavior in the context of ESM. Data were collected using a survey of 341 Chinese employees.
Findings
The results indicate that (1) task interdependence was positively correlated with participation in small closed groups; (2) task complexity was positively correlated with participation in small groups, large closed groups and open professional groups and (3) task non-routineness was positively correlated with participation in small groups, large closed groups and open professional groups.
Originality/value
This study builds on the literature on task characteristics, information processing theory and employees' online group participation behavior, contributing to the research on ESM in the field of information systems and providing guidance for enterprise practice.
Details