Jianpeng Zhang and Mingwei Lin
The purpose of this paper is to make an overview of 6,618 publications of Apache Hadoop from 2008 to 2020 in order to provide a conclusive and comprehensive analysis for…
Abstract
Purpose
The purpose of this paper is to make an overview of 6,618 publications of Apache Hadoop from 2008 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of Apache Hadoop for interested researchers.
Design/methodology/approach
This paper employs the bibliometric analysis and visual analysis approaches to systematically study and analyze publications about Apache Hadoop in the Web of Science database. This study aims to investigate the topic of Apache Hadoop by means of bibliometric analysis with the aid of visualization applications. Through the bibliometric analysis of the collected documents, this paper analyzes the main statistical characteristics and cooperation networks. Research themes, research hotspots and future development trends are also investigated through the keyword analysis.
Findings
The research on Apache Hadoop is still the top priority in the future, and how to improve the performance of Apache Hadoop in the era of big data is one of the research hotspots.
Research limitations/implications
This paper makes a comprehensive analysis of Apache Hadoop with methods of bibliometrics, and it is valuable for researchers can quickly grasp the hot topics in this area.
Originality/value
This paper draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to understand the development status and trends in this field and inspire new ideas for researchers.
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Jianpeng Fan, Jie He, Huichuan Dai, Yijia Jing and Guanghui Shang
Overqualification is a growing concern for employers in many countries. The practice of mismatching employees and positions inevitably leads to an increase in organizational…
Abstract
Purpose
Overqualification is a growing concern for employers in many countries. The practice of mismatching employees and positions inevitably leads to an increase in organizational training and management costs. This study can not only further enrich the theoretical achievements in the field of human resource management, but can also provide a reference for enterprise managers on how to effectively stimulate employees' innovative behaviour.
Design/methodology/approach
503 questionnaire responses were analysed using SPSS 24.0 and Mplus 8.0.
Findings
It was concluded that, (1) perceived overqualification is negatively related to employees' innovation behaviour (β = −0.32, p < 0.001); (2) psychological contract breach and psychological distance partially mediate the relationship between perceived overqualification and employees' innovation behaviour. Among them, the mediating effect of psychological contract breach was −0.14 (p < 0.01), and that of psychological distance was −0.12 (p < 0.001); the chain-mediating effect of psychological contract breach and psychological distance was −0.09 (p < 0.01); (3) employment relationship atmosphere played a moderating role in the relationship between perceived overqualification and employees' innovation behaviour (β = 0.04, p < 0.01).
Originality/value
This study verifies the negative impact of perceived overqualification on employee innovation behaviour and reveals the mediating role of psychological factors between the two. It also discusses the moderating effect of employment relationship climate on the relationship between perceived overqualification and employees' innovation behaviour.
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Jianpeng Fan, Yukun Fan, Jie He and Huichuan Dai
Enterprise innovation depends on the innovative behaviour of employees. The relationship between leaders and employees has a significant impact on employees' attitudes and…
Abstract
Purpose
Enterprise innovation depends on the innovative behaviour of employees. The relationship between leaders and employees has a significant impact on employees' attitudes and behaviours. Therefore, it is of great practical significance to explore how a good leader–member relationship (LMR) motivates employees' innovative behaviour.
Design/methodology/approach
Based on 316 questionnaires completed by the members of 53 organisations, SPSS 25.0, Mplus 8.0 and HLM 6.08 were used to analyse the internal mechanisms of LMRs and employees' innovative behaviour.
Findings
The study identified the following findings: first, LMR was positively correlated with employees' innovative behaviour; second, perceived supervisor support and followership behaviour played mediating roles between leader–member relationship and employees' innovative behaviour and third, organisational political climate was negatively correlated with employees' innovative behaviour and played a moderating role in the relationship between LMR and employees' innovative behaviour.
Originality/value
The results of this study have clarified the transmission mechanism between LMRs and employees' innovative behaviour while providing useful references for improving the effectiveness of human resource management in organisations.
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Jianpeng Wu, Biao Ma, Heyan Li and Chengnan Ma
The purpose of this paper is to study friction and wear properties of three types of steels against paper-based friction disc, including 65Mn, 20#steel and 30CrAl, so as to obtain…
Abstract
Purpose
The purpose of this paper is to study friction and wear properties of three types of steels against paper-based friction disc, including 65Mn, 20#steel and 30CrAl, so as to obtain the appropriate working conditions for different friction materials in the transmission system.
Design/methodology/approach
Based on actual working conditions, pin-on-disc tests are conducted on a universal material tester. The two evaluation indexes, including average friction coefficient and variation coefficient, are introduced to analyze the different friction properties among three types of steel. Furthermore, the temperature-dependent wear pattern and wear depth are subsequently studied.
Findings
The results show that 65Mn is more suitable for working under heavy load and low velocity, but 30CrAl and 20#steel are suitable for working under light load and high velocity. Moreover, wear primarily occurs on paper-based material and peaks at about 325.
Practical implications
This research of different materials and friction property for friction pairs is helpful to improve the performance and prolong the service life of transmission systems.
Originality/value
Suitable working conditions of different friction materials are obtained, and the correlation between wear and decomposition in high temperature is verified.
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Shahrbanoo Yadollahi, Ali Kazemi and Bahram Ranjbarian
Customer-to-customer (C2C) interactions substantially affect the overall service experience. This study attempts to provide a better and deeper understanding of C2C interactions…
Abstract
Purpose
Customer-to-customer (C2C) interactions substantially affect the overall service experience. This study attempts to provide a better and deeper understanding of C2C interactions during the customer journey in the banking industry. The study aims to investigate the complexities of these interactions and to detect their outcomes and further implications in banking services.
Design/methodology/approach
This study used a sequential mixed-method approach. Firstly, semi-structured interviews were conducted to identify the components of C2C interactions during the customer journey. Subsequently, thematic analysis was performed to categorize the data and extract relevant components. Secondly, structural equation modeling was used to investigate the role of C2C interactions in behavioral outcomes.
Findings
The findings reveal that during the customer journey, C2C interactions plays a key role by providing information, managing queuing behavior, providing resources, and addressing issues related to other customers’ misbehavior. Additionally, C2C interactions have a positive direct effect on the customer experience, satisfaction, and loyalty. Customer experience, in turn, affects customer satisfaction and loyalty.
Originality/value
This study highlights the need for academic scholars to prioritize customers’ interaction during the customer journey in financial services, addressing a gap between industry directions and academic research in customer experience. Also, the findings help service providers develop effective strategies to enhance the customer experience by focusing on C2C interactions during the customer journey.
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A. Seetharaman, Nitin Patwa, A.S. Saravanan and Abhishek Sharma
The purpose of this paper is to discuss how the rush of technological change will consolidate the worldwide reach of the internet with more capacity, specifically to control the…
Abstract
Purpose
The purpose of this paper is to discuss how the rush of technological change will consolidate the worldwide reach of the internet with more capacity, specifically to control the physical world, including the machines, industrial facilities and frameworks that characterize cutting-edge technology.
Design/methodology/approach
The data were collected from 203 respondents predominantly from emerging economies, specifically India and SEA. Most of the participants are working professionals. Structural equation modelling was used to analyze data, as it is a popular statistical technique because of its ability to model selected independent variables and take into account all possible forms of measurement error to test an entire theory.
Findings
The Industrial Internet of Things (IIOT) platform comprises four fundamental capabilities: connectivity, big data, advanced analytics and application development. The IIOT has the potential to provide a high level of synergies between the 4 Ms of manufacturing, namely, man, machine, material and method.
Research limitations/implications
The collected data are predominately from India and SEA (close to 75 per cent), while contributions from other regions are comparatively less, so the findings cannot be generalized to the global context.
Practical implications
It is in the interest of service providers to collaborate and provide a universal solution to retain legacy systems to minimize the investment and reduce the security threat, which could boost IIOT adoption while ensuring that manufacturers are able to leverage this new technology efficiently.
Originality/value
The framework obtained has good quality of validity and reliability indicators. Thus, an alternative framework has been added to customer expectation which is currently a popular topic in the technological changes.
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Yong Liu, Jiang Zhang, Junjie Cui, Changsong Zheng, Yajun Liu and Jian Shen
In armored vehicles integrated transmissions, residual life prediction based on oil spectrum data is crucial for condition monitoring and reliability assessment. This paper aims…
Abstract
Purpose
In armored vehicles integrated transmissions, residual life prediction based on oil spectrum data is crucial for condition monitoring and reliability assessment. This paper aims to use the advantages of real-time and accurate prediction of binary Wiener process, the residual life prediction of clutch is studied.
Design/methodology/approach
First, combined with the wet clutch life test, the indicator elements Cu and Pb and the failure threshold of the residual life prediction of the clutch are extracted through the oil replacement correction of the spectral data of the whole life cycle; second, the correlation characteristics of indicating elements are analyzed by MATLAB Copula function, then the correlation function of residual life will be derived; third, according to the inverse Gaussian principle, the performance degradation mathematical models of the unary and binary Wiener processes of the above two indicator elements are established; finally, the maximum likelihood estimation method is used to estimate the parameters, and the monadic and binary performance degradation mathematical models are used to predict the residual life of the tested clutch.
Findings
By comparing the prediction results with the test results, with the passage of time, 81.25% of the predicted value error of the residual life prediction method based on the binary Wiener process is controlled within 20%, while 56.25% of the predicted value error of the residual life prediction method based on the unitary Wiener process is controlled within 20%. At the same time, the prediction accuracy of the binary prediction model is 2%–16.7% higher than that of the unitary prediction model.
Originality/value
This paper studies the residual life prediction theory of wet clutch, which can develop the theory and method of comprehensive transmission health monitoring, and provide theoretical and technical support for the construction of a reliable health management system for high-speed tracked vehicles.
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Swetha Katragadda and PVY Jayasree
The fifth-generation technology 5G, the planned successor to 4G, is a new global standard for mobile networks that brings virtual to reality. 5G wireless technology enables the…
Abstract
Purpose
The fifth-generation technology 5G, the planned successor to 4G, is a new global standard for mobile networks that brings virtual to reality. 5G wireless technology enables the delivery of high speed, low latency, reliability, 100% coverage and availability to connect number of users as in massive IoT applications.
Design/methodology/approach
With expeditious development in wireless communication, the need for enhanced characteristic antenna design such as the size of the antenna, high data rate, demand in traffic, bandwidth, gain and efficiency increases. Various antenna designs are to be explored to meet the needs and achieve trade-offs between antenna size vs cost, high gain and efficiency vs less loss, high B.W and data rate with the selection of appropriate substrate materials and various gain & isolation enhancement techniques.
Findings
This paper thus gives scope for miniaturized MIMO antenna design for mobile applications at mm-wave frequency range.
Originality/value
This paper thus gives scope for miniaturized MIMO antenna design for mobile applications at mm-wave frequency range.