Peiran Gao, Jinlong Zhang, Yeming Gong and Haitao Li
The purpose of this research is to investigate how critical managerial IT capabilities, such as IT business spanning capability, interact with two pivotal types of technical IT…
Abstract
Purpose
The purpose of this research is to investigate how critical managerial IT capabilities, such as IT business spanning capability, interact with two pivotal types of technical IT capabilities (i.e. IT flexibility and IT integration) to affect organizational agility. Especially, the authors mainly examine a positive synergy or complementary relationship between IT business spanning capability and IT flexibility and a negative synergy or substitution relationship between IT business spanning capability and IT integration.
Design/methodology/approach
The authors develop a research model that integrates IT flexibility, IT integration, IT business spanning capability and organizational agility. Based on a matched-pair, cross-sectional field survey of IT and business managers, they use partial least squares (PLS) to analyze this research model.
Findings
IT flexibility and IT integration have been empirically proven to be positively associated with organizational agility. Furthermore, the research results indicate a positive synergy or complementary relationship between IT business spanning capability and IT flexibility, whereas they indicate a negative synergy or substitution relationship between IT business spanning capability and IT integration with regard to organizational agility. This finding demonstrates that IT business spanning capability can differentially influence organizational agility depending on its interaction with specific technical IT capability types. In addition, the effects of IT flexibility on organizational agility are high, whereas the effectiveness of IT integration decreases in the presence of high IT business spanning capability. Each type of technical IT capability displays different effectiveness under high IT business spanning capability. Thus, appropriate technical IT capability types should be carefully deployed, and highly effective technical IT capability types, such as IT flexibility, should be prioritized under high levels of IT business spanning capability.
Originality/value
This research highlights the joint effects of IT business spanning capability and two pivotal types of technical IT capabilities (i.e. IT flexibility and IT integration) on organizational agility, ultimately contributing to OM theories and practices.
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Kelvin Henry Kyissima, Gong Zhang Xue, Thales Pacific Yapatake Kossele and Ahmed Ramadhan Abeid
The purpose of this paper is to analyze the corporate capital structure stability of listed firms in China during the period 1990–2013.
Abstract
Purpose
The purpose of this paper is to analyze the corporate capital structure stability of listed firms in China during the period 1990–2013.
Design/methodology/approach
The study uses panel data from a sample of 716 firms that have been listed in China for at least 15 years. A fixed-effects panel data regression model with time effects is used in the estimation.
Findings
The findings show that size, profitability and investment opportunities have a significant influence on capital structure, whereas the tangibility of assets is not found to be significant. Few industries show significance in explaining differences and variation in leverage ratios.
Social implications
It is recommended by this study that corporate managers of listed firms in China should consider leverage ratios variation while choosing the capital structure.
Originality/value
This study can be helpful in assisting companies to make financing decisions and setting up strategies relevant in their growth and profitability. The study will also have a significant assistance to bring to light corporate issues to policy makers, especially in the areas of both equity and debt financing, particularly the bond market. To the society, this study will show the nature of Chinese-listed companies, and it can assist individual investors in making decisions regarding companies in which they hold investments and in making meaningful comparisons with other companies. The paper also aims at contributing to the existing literature on the empirical study on capital structure.
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Gang Chen, Wei‐gong Zhang and Xiao‐na Zhang
The paper aims to overcome the shortcomings that proportional‐integral‐derivative (PID) control for unmanned robot applied to automotive test (URAT) needs a priori manual…
Abstract
Purpose
The paper aims to overcome the shortcomings that proportional‐integral‐derivative (PID) control for unmanned robot applied to automotive test (URAT) needs a priori manual retuning, has large speed fluctuations and is hard to adjust control parameters. A novel control approach based on fuzzy neural network applied to URAT was proposed.
Design/methodology/approach
According to the target vehicle speed and driving command table, the multiple manipulator coordinated control model was established. After that, the displacement of throttle mechanical leg, clutch mechanical leg, brake mechanical leg and shift mechanical arm for URAT was used as input of fuzzy neural network (FNN) model, and vehicle speed was used as output of FNN model. The number of membership functions was three, and the type of that was generalized bell membership function (gbellmf). The hybrid learning algorithm which combined with back propagation algorithm and least square method was applied to train the model. The Sugeno model was selected as fuzzy reasoning model.
Findings
Experimental results demonstrated that compared with PID control method, the proposed approach can greatly improve the accuracy of vehicle speed tracking. The approach can accurately realize the vehicle speed tracking of given driving test cycle. Therefore, it can ensure the accuracy and effectiveness of automotive test results.
Research limitations/implications
Future work will focus on improving the efficiency of this learning algorithm.
Practical implications
The paper provides effective methods for improving the accuracy of speed tracking and repeatability.
Originality/value
After establishing the multiple manipulator coordinated control model, this paper proposes a novel control approach based on FNN for URAT.
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The purpose of this paper is to present a prototype simulation system for driving performance of an electromagnetic unmanned robot applied to automotive test (URAT) to solve that…
Abstract
Purpose
The purpose of this paper is to present a prototype simulation system for driving performance of an electromagnetic unmanned robot applied to automotive test (URAT) to solve that it is difficult and dangerous to online debug control program and to quickly obtain test vehicle dynamic performance.
Design/methodology/approach
The driving performance of the electromagnetic URAT can be evaluated by the prototype simulation system. The system can simulate various driving conditions of test vehicles. An improved vehicle longitudinal dynamics model matching to the electromagnetic URAT is established. The proposed model has good real-time, and it is easy to implement. The displacement of throttle mechanical leg, brake mechanical leg, clutch mechanical leg and shift mechanical arm is used for the system input. Test vehicle speed and engine speed are used for the system output, and they are obtained by the computation of the established vehicle longitudinal dynamics model.
Findings
Driving conditions simulation test and vehicle emission test are performed using a Ford Focus car. Simulation and experiment results show that the proposed prototype simulation system in the paper can simulate the driving conditions of actual vehicles, and the performance that electromagnetic URAT drives an actual vehicle is evaluated by the simulation system.
Research limitations/implications
Future research will focus on improving the real time of the proposed simulation system.
Practical implications
The autonomous driving performance of electromagnetic URAT can be evaluated by the proposed prototype simulation system.
Originality/value
A prototype simulation system for driving performance of an electromagnetic URAT based on an improved vehicle longitudinal dynamics model is proposed in this paper, so that it can solve the difficulty and danger of online debugging control program, quickly obtaining the test vehicle performance.
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Wei Wang, Renee Rui Chen and Xuhui Yang
With the rising concerns of compulsive use of social media, it is important to understand why users develop such unplanned and irrational behaviors. Leveraging the uses and…
Abstract
Purpose
With the rising concerns of compulsive use of social media, it is important to understand why users develop such unplanned and irrational behaviors. Leveraging the uses and gratification theory, the authors aim to explore the determinants of compulsive use of social media from the dual perspectives of individual needs (need to belong (NTB) and need for uniqueness) and peer-related factors (referent network size and perceived peer activeness). Due to the importance of self-construal in cognitive deliberation on peer influences, the moderating effects of self-construal were taken into consideration.
Design/methodology/approach
The authors empirically test their model by conducting an online survey with 459 WeChat users.
Findings
The results show that compulsive use of social media is predicated by both individual needs and influence from peers. Moreover, peer influence could be attenuated when individuals develop a high degree of independent self-construal.
Research limitations/implications
The authors' study contributes to the research of compulsive behavior in the context of social media use by incorporating the dual effects of individual needs and social influence. The authors also offer managerial insights on eradicating the formation of compulsive behaviors.
Originality/value
The authors examine the dual effects of individual needs and peer influence in predicting compulsive use of social media and the moderating role of self-construal, which have been rarely investigated in this context.
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Hongyi Mao, Shan Liu and Yeming Gong
To achieve digital transformation, organizations have continued to rely on integrating the capabilities of information technology (IT) to facilitate decision-making and developing…
Abstract
Purpose
To achieve digital transformation, organizations have continued to rely on integrating the capabilities of information technology (IT) to facilitate decision-making and developing their reconfiguration capability to enhance agile operations. The pressure imposed by digital transformation necessitates investigations on leveraging different IT capabilities to attain substantial organizational agility in an optimal configuration. This study aims to provide a new perspective on balancing IT structural capabilities and proposes a framework for evaluating their coalignment and complementary returns based on resource orchestration theory.
Design/methodology/approach
A multi-method approach is used to evaluate the research model. This study tests hypotheses and explores the potential coalignment and complementary returns of balance in structural models and response surface analysis. Then, it analyzes the qualitative data and provides complementary findings to corroborate and confirm complex relationships.
Findings
Balanced structural IT capabilities facilitate organizational agility but cooperate differently with internal (e.g. IT proactive stance) and external (e.g. environmental volatility) environmental factors. Balance between IT integration and reconfiguration must be maintained from several approaches during search/selection and configuration/deployment.
Originality/value
This study theorizes and empirically investigates the interactive mechanisms of two IT capabilities in influencing organizational agility under different boundary conditions. It enriches the understanding of balancing capabilities for organizational agility in digital transformation.
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Shunbin Zhong, Xiaohua Shen, Weiteng Shen and Chongchong Xin
Utilizing data from the 2017 Chinese General Social Survey (CGSS2017), the paper aims to investigate the impact of information and communication technology (ICT) adoption on…
Abstract
Purpose
Utilizing data from the 2017 Chinese General Social Survey (CGSS2017), the paper aims to investigate the impact of information and communication technology (ICT) adoption on residents' self-rated health and reveals the mechanisms behind ICT.
Design/methodology/approach
In the study, ICT adoption is defined as a dummy variable, which takes the value of one if respondents adopt the computers or mobile phone. Meanwhile, respondents' perceptions on five categories of self-rated health are used to construct the dependent variable. Then, based on a fixed-effects regression model, the ordinary least squares (OLS) and ordered probit approaches are applied to estimate their association. Moreover, the two-stage least squares (2SLS) and instrumental variable (IV)-oprobit methods are used to tackle the potential endogeneity of ICT adoption. Finally, the heterogeneity across individuals and regions as well as the underlying mechanisms are discussed.
Findings
The results indicate that ICT adoption significantly improves residents' self-rated health, which confirms the health utility model with ICT adoption. The conclusion is robust after overcoming the endogeneity issues with IV. In addition, heterogeneity analysis shows that ICT adoption is more beneficial to the health of residents who are male, young, better educated and those who live in the rural areas and in central and western China. Furthermore, the study demonstrates that ICT adoption for searching health-related information and improving social capital are two crucial mechanisms underlying its health effects.
Practical implications
The findings of this research can help Chinese Government improve population health by issuing corresponding digital and health policies at the regional and individual level.
Originality/value
First, the study provides fresh microscopic evidence on health outcomes of ICT adoption based on data from the latest wave of CGSS2017. Second, individual and regional heterogeneity is extensively discussed in contrast to most related macro studies that consider average effects. Third, the study addresses underlying mechanisms that have not been thoroughly tested or studied primarily on a theoretical level.
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The impact on both the environment and operator health is significant. As high-alumina silica glass finds applications in smart devices such as curved mobile phone screens, the…
Abstract
Purpose
The impact on both the environment and operator health is significant. As high-alumina silica glass finds applications in smart devices such as curved mobile phone screens, the grinding of complex curved surfaces necessitates cleaner and more efficient cooling and lubrication methods to enhance processing quality and improve grinding yield rates. This study aims to focus on grinding high-alumina silica glass using micro-lubrication technology and compares its performance with traditional cutting fluid cooling methods.
Design/methodology/approach
In the fabrication of mobile phone cover plates composed of high-alumina silicon glass, the incorporation of micro-lubrication grinding technology was undertaken, with the conventional cutting fluid cooling approach serving as the benchmark control group for comparative analysis.
Findings
The results indicate that increasing the spray pressure of micro-lubrication within a specific range contributes to reducing grinding surface roughness. At a grinding speed ranging from 25 to 35 m/s, using micro-lubrication can effectively replace the traditional cutting fluid cooling method, resulting in glass surfaces with roughness levels between 0.22 and 0.26. However, at grinding speeds exceeding 35 m/s, the insufficient pressure of the micro-lubricant mist hinders most of the oil mist from entering the grinding zone, leading to inferior cooling performance compared to cutting fluid cooling. Notably, at a grinding speed of 35 m/s, micro-lubrication demonstrates better effectiveness in suppressing chipping during glass grinding compared to traditional cutting fluid cooling methods.
Originality/value
Through the application of micro-lubrication grinding technology, a marked improvement in the grinding quality of high-alumina silicon mobile phone cover plate glass can be achieved, leading to a reduction in surface roughness, a decrease in processing defects and ultimately satisfying the demands for high-precision and high-quality fabrication of such cover plates.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0297
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Xiu-Ming Loh, Voon-Hsien Lee, Garry Wei-Han Tan, Keng-Boon Ooi and Yogesh K. Dwivedi
This paper explores the reasons behind the slow uptake of mobile payment (m-payment) from a switching intention (SI) perspective. The antecedents of SI from cash to m-payment were…
Abstract
Purpose
This paper explores the reasons behind the slow uptake of mobile payment (m-payment) from a switching intention (SI) perspective. The antecedents of SI from cash to m-payment were explored using an integrated conceptual model of the push-pull-mooring (PPM) framework and the status quo bias (SQB) perspective.
Design/methodology/approach
A self-administered survey was used to collect data, which are empirically tested using SmartPLS 3.0.
Findings
The push factor was found to have an insignificant effect on SI to m-payment whereas the pull factor was significant. Furthermore, the results revealed that the two mooring variables have contrasting results as trust is not a significant determinant of SI to m-payment while perceived security and privacy (PSP) is. Additionally, all SQB-related relationships were found to be statistically significant
Originality/value
This study determined the factors that play vital roles in the consumers' decision-making to transition from cash to m-payment. This was done via a uniquely developed conceptual model that incorporated the PPM framework with the SQB perspective.
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Faisal Lone, Harsh Kumar Verma and Krishna Pal Sharma
The purpose of this study is to extensively explore the vehicular network paradigm, challenges faced by them and provide a reasonable solution for securing these vulnerable…
Abstract
Purpose
The purpose of this study is to extensively explore the vehicular network paradigm, challenges faced by them and provide a reasonable solution for securing these vulnerable networks. Vehicle-to-everything (V2X) communication has brought the long-anticipated goal of safe, convenient and sustainable transportation closer to reality. The connected vehicle (CV) paradigm is critical to the intelligent transportation systems vision. It imagines a society free of a troublesome transportation system burdened by gridlock, fatal accidents and a polluted environment. The authors cannot overstate the importance of CVs in solving long-standing mobility issues and making travel safer and more convenient. It is high time to explore vehicular networks in detail to suggest solutions to the challenges encountered by these highly dynamic networks.
Design/methodology/approach
This paper compiles research on various V2X topics, from a comprehensive overview of V2X networks to their unique characteristics and challenges. In doing so, the authors identify multiple issues encountered by V2X communication networks due to their open communication nature and high mobility, especially from a security perspective. Thus, this paper proposes a trust-based model to secure vehicular networks. The proposed approach uses the communicating nodes’ behavior to establish trustworthy relationships. The proposed model only allows trusted nodes to communicate among themselves while isolating malicious nodes to achieve secure communication.
Findings
Despite the benefits offered by V2X networks, they have associated challenges. As the number of CVs on the roads increase, so does the attack surface. Connected cars provide numerous safety-critical applications that, if compromised, can result in fatal consequences. While cryptographic mechanisms effectively prevent external attacks, various studies propose trust-based models to complement cryptographic solutions for dealing with internal attacks. While numerous trust-based models have been proposed, there is room for improvement in malicious node detection and complexity. Optimizing the number of nodes considered in trust calculation can reduce the complexity of state-of-the-art solutions. The theoretical analysis of the proposed model exhibits an improvement in trust calculation, better malicious node detection and fewer computations.
Originality/value
The proposed model is the first to add another dimension to trust calculation by incorporating opinions about recommender nodes. The added dimension improves the trust calculation resulting in better performance in thwarting attacks and enhancing security while also reducing the trust calculation complexity.