Xianke Sun, Gaoliang Wang, Liuyang Xu and Honglei Yuan
In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So…
Abstract
Purpose
In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.
Design/methodology/approach
Progress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.
Findings
The results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.
Research limitations/implications
The present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.
Practical implications
To appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.
Social implications
In general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.
Originality/value
This report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.
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Xi Zhong, Tiebo Song and Liuyang Ren
Based on the socioemotional wealth theory, this study aims to empirically investigate how founder reign, that is a founder serving as a cheif executive officer (CEO) or chairman…
Abstract
Purpose
Based on the socioemotional wealth theory, this study aims to empirically investigate how founder reign, that is a founder serving as a cheif executive officer (CEO) or chairman, influences family firms' research and development (R&D) investment in emerging economies (e.g. China).
Design/methodology/approach
This study empirically tested the hypotheses based on a sample of listed Chinese family companies from 2008 to 2018.
Findings
Founder reign has a negative impact on family firms' R&D investment. Particularly, the negative impact of the founder serving as chairman on family firms' R&D investment is larger than the negative impact of the founder serving as CEO on family firms' R&D investment. Founder's military experience weakens the negative impact of founder reign on family firms' R&D investment, but founder's executive master of business administration (E)MBA experience has no moderating effect on this relationship.
Originality/value
First, the authors contribute to the family firm innovation literature by providing an alternative but complementary explanation of why family firms have relatively low R&D investment levels. This research shows that founder reign is a key reason for family firms in China eschewing R&D investment. Second, by incorporating the founder serving as CEO and the founder serving as chairman into the analytical framework, and then examining their impact on family firms' R&D investment, our research helps us to fully understand the impact of founder reign on firm strategic actions. Third, we contribute to the “founder reign-firm strategic actions” framework by revealing how founders' human capital profoundly affects the relationship between founder reign and family firms' R&D investment.
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Minjuan Zhao, Runsheng Yin, Liuyang Yao and Tao Xu
– The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.
Abstract
Purpose
The purpose of this paper is to assess how spatial heterogeneity and production diversification have affected the efficiency of households participating in the SLCP.
Design/methodology/approach
Based on household survey data collected from three sample counties in the Loess Plateau region, the paper analyzes how spatial heterogeneity and business diversification have affected the production efficiency of households participating in the SLCP. Using four-step bootstrap, input stochastic distance frontiers of multi-inputs and multi-outputs are developed simultaneously with a technical efficiency effects model in which participating in the SLCP is treated as an exogenous variable.
Findings
The household production in the three counties is constrained by land, labor, capital, and fixed inputs; thus, it is germane to using a multi-input and multi-output household production technology to evaluate the SLCP. However, the relative importance of each input and output, the productive diversification, and the technological structure are differentiated in the three counties; estimating the regression with pooled data appears to conceal the influences of local factors and blur the specific divergence, compared to running county-based, separate regressions.
Research limitations/implications
The effects of the SLCP on farm household production are location dependent. It is necessary to include spatial heterogeneity within public policy evaluation. In addition to suggesting localized and differentiated schemes of subsidy, this implies that the government may provide means to facilitate different regions to make the economic transition.
Originality/value
This paper intends to make two contributions. First, the analysis will capture and explain the adjustments induced by the SLCP in off-farm and other activities for entire household production, and special attention is given to the diversification of household production outputs. Second, this analysis sheds new light to the significance of spatial differentiation in mediating the effectiveness of a public policy or program.
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Xi Zhong, Liuyang Ren and XiaoJie Wu
Based on socioemotional wealth theory, the authors explore the impact of founder domination (with the founder as the chairman or CEO) on the earnings management activities of…
Abstract
Purpose
Based on socioemotional wealth theory, the authors explore the impact of founder domination (with the founder as the chairman or CEO) on the earnings management activities of family firms and examine the moderating effect of the industry environment on the above relationship.
Design/methodology/approach
Based on the multivariate regression model, the authors test the theoretical view on the empirical data of Chinese family-owned listed companies.
Findings
The authors propose and find that under founder domination, family firms are unlikely to engage in earnings management activities. Furthermore, the authors find that industry growth enhances the above relationship, while industry competition weakens it.
Originality/value
First, by clarifying the importance and heterogeneous impacts of the founder serving as chairman or CEO on China's family firms' earnings management, this research contributes to a fuller understanding of the impact of founder domination on the business activities of firms, especially family firms. Second, the authors contribute to the literature that examines the antecedents of earnings management, particularly in family firms. Third, the authors contribute to the study of the boundary conditions of the “founder domination-firms’ business activities” framework.
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Saisai Li, Qianhua Lei and Liuyang Ren
With the development of the economy, an increasing number of listed companies form subsidiaries in China. Though the increase in the number of subsidiaries affects the…
Abstract
Purpose
With the development of the economy, an increasing number of listed companies form subsidiaries in China. Though the increase in the number of subsidiaries affects the hierarchical structure and risk of conglomerates, few studies relate the hierarchical relationship between the parent company and its subsidiaries to its capital market performance at the conglomerate level. Therefore, this study aims to investigate the relationship between the number of subsidiaries and crash risk.
Design/methodology/approach
Using a sample of all the A-share companies in the Shanghai and Shenzhen stock markets from 2007 to 2015, this study conducts multivariate regression analyses between the number of subsidiaries and the stock price crash risk.
Findings
This study finds an inversed U relationship between the number of subsidiaries and the stock price crash risk, and the above inversed U relationship is steeper in conglomerates with stronger managerial power and less finance distress.
Originality/value
This research has an incremental contribution to the agency problem and governance effect of the parent–subsidiary system in conglomerates. To the best of the authors’ knowledge, this is the first study to show a significant quadratic relationship between the future crash risk and the number of subsidiaries. This paper provides new evidence that the number of subsidiaries has an incremental ability to predict future firm-specific crash risk above other predictors identified by previous research.
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Chenyu Liu, Xuan Liu, Liuyang Yao and Jie Liu
The purpose of this paper is to investigate consumer preference of and willingness to pay for eco-labelled eggs using cross-sectional data collected from Chongqing Municipality in…
Abstract
Purpose
The purpose of this paper is to investigate consumer preference of and willingness to pay for eco-labelled eggs using cross-sectional data collected from Chongqing Municipality in China.
Design/methodology/approach
This study employs both conditional logistic model and mixed logistic model to conduct the empirical analysis.
Findings
The empirical results show that individual heterogeneous preference and attributes of eco-labelled eggs significantly influence consumer choices. More specifically, higher per capita income, families with pregnant women or children, higher level of trust in and knowledge of eco-labels contribute positively to choosing eco-labelled eggs, and attributes of eco-labelled eggs such as certification labels, free-range husbandry, and nutrition enrichment significantly increase consumer utility. Generally, the price premium that consumers are willing to pay for eggs containing “organic”, “free-range husbandry”, and “nutrition enrichment” labels is 375.0% more, equivalent to 42.8 Yuan/kg.
Originality/value
This study used first-hand survey data to reveal consumers’ heterogeneous preference of and willingness to pay for eco-labelled eggs based on the random utility theory.
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Xi Zhong, Liuyang Ren and Ge Ren
The phenomenon of defamilization of family firms is gradually increasing for the growth of family firms, that is, nonfamily executives are increasingly present in the executive…
Abstract
Purpose
The phenomenon of defamilization of family firms is gradually increasing for the growth of family firms, that is, nonfamily executives are increasingly present in the executive teams of family firms. Although previous scholars have identified various determinants of family firms' defamilization, whether and when innovation underperformance affects the decision to defamilize family firms has not been explore. This study aims to fill the aforementioned research gaps.
Design/methodology/approach
This study empirically tests the theoretical view based on the data of Chinese A-share family listed companies from 2009 to 2017.
Findings
The authors found that innovation underperformance drives family companies to increase the percentage of nonfamily executives in their executive teams. Further, the authors found that family firms are less willing to hire nonfamily executives with an increase in socioemotional wealth, particularly when founders of such businesses serve as directors or are major shareholders, even when they are not directors.
Originality/value
This study shows that innovation underperformance and socioemotional wealth are important predictors of family firms’ defamilization decisions.
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Ann Veeck, Hongyan Yu, Hongli Zhang, Hong Zhu and Fang (Grace) Yu
The purpose of this study is to explore the association between eating patterns, social identity and the well-being of adolescents via a mixed methods study of Chinese teenagers…
Abstract
Purpose
The purpose of this study is to explore the association between eating patterns, social identity and the well-being of adolescents via a mixed methods study of Chinese teenagers. The specific research questions presented in this study are as follows: What is the relationship between social eating and well-being? How is the relationship between social eating and well-being mediated by social identity?
Design/methodology/approach
This study is based on a sequential mixed methods study, including interviews with 16 teenage–parent dyads, and a large-scale survey of over 1,000 teenagers on their eating patterns, conducted with the support of public schools. A model that tests relationships among social eating, social identity and subjective well-being is developed and tested.
Findings
The results show that dining with family members leads to improved subjective well-being for teenagers, through a partial mediator of stronger family identity. However, dining with peers is not found to influence subjective well-being.
Research limitations/implications
The privileged position of family meals demonstrated through this study may be an artifact of the location of this study in one Chinese city. Further research is needed related to the connections among social identity, objective well-being and the social patterns of teenagers’ food consumption behavior.
Practical implications
To improve the subjective well-being of teenagers, families, public policy-makers and food marketers should support food consumption patterns that promote family meals.
Originality/value
While many food-related consumer studies focus on the individual, social and environmental influences of food choices of adolescents, few studies address how eating patterns affect overall well-being. These results reinforce the importance of understanding the effect of the social context of teenagers’ eating patterns on health and well-being.
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Modupeola Dada, Patricia Popoola and Ntombi Mathe
This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current potential…
Abstract
Purpose
This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current potential alternatives to nickel superalloys for gas turbine applications. Understandings of the laser surface modification techniques of the HEA are discussed whilst future recommendations and remedies to manufacturing challenges via laser are outlined.
Design/methodology/approach
Materials used for high-pressure gas turbine engine applications must be able to withstand severe environmentally induced degradation, mechanical, thermal loads and general extreme conditions caused by hot corrosive gases, high-temperature oxidation and stress. Over the years, Nickel-based superalloys with elevated temperature rupture and creep resistance, excellent lifetime expectancy and solution strengthening L12 and γ´ precipitate used for turbine engine applications. However, the superalloy’s density, low creep strength, poor thermal conductivity, difficulty in machining and low fatigue resistance demands the innovation of new advanced materials.
Findings
HEAs is one of the most frequently investigated advanced materials, attributed to their configurational complexity and properties reported to exceed conventional materials. Thus, owing to their characteristic feature of the high entropy effect, several other materials have emerged to become potential solutions for several functional and structural applications in the aerospace industry. In a previous study, research contributions show that defects are associated with conventional manufacturing processes of HEAs; therefore, this study investigates new advances in the laser-based manufacturing and surface modification techniques of HEA.
Research limitations/implications
The AlxCoCrCuFeNi HEA system, particularly the Al0.5CoCrCuFeNi HEA has been extensively studied, attributed to its mechanical and physical properties exceeding that of pure metals for aerospace turbine engine applications and the advances in the fabrication and surface modification processes of the alloy was outlined to show the latest developments focusing only on laser-based manufacturing processing due to its many advantages.
Originality/value
It is evident that high entropy materials are a potential innovative alternative to conventional superalloys for turbine engine applications via laser additive manufacturing.
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Xinhai Chen, Zhichao Wang, Yang Liu, Yufei Pang, Bo Chen, Jianqiang Chen, Chunye Gong and Jie Liu
The quality of the unstructured mesh has a considerable impact on the stability and accuracy of aerodynamic simulation in computational fluid dynamics (CFD). Typically, engineers…
Abstract
Purpose
The quality of the unstructured mesh has a considerable impact on the stability and accuracy of aerodynamic simulation in computational fluid dynamics (CFD). Typically, engineers spend a significant portion of their time on mesh quality evaluation to ensure a valid, high-quality mesh. The extensive manual interaction and a priori knowledge required to undertake an accurate and timely evaluation process have become a bottleneck in the idealized efficient CFD workflow. This paper aims to introduce a neural network-based quality evaluation approach for unstructured meshes to enable higher efficiency and the level of automation.
Design/methodology/approach
The paper investigates the capability of deep neural networks for the quality evaluation of unstructured meshes. For training the network, we build a training dataset for mesh quality learning algorithms. The dataset contains a rich variety of unstructured aircraft meshes with different mesh sizes, densities, cell distribution, growth ratios and cell numbers to ensure its diversity and availability. We also design a neural network, AircraftNet, to learn the effect of mesh quality on the convergent properties of the numerical solutions. The proposed network directly manipulates raw point data in mesh source files rather than passing it to an intermediate data representation. During training, AircraftNet extracts non-linear quality features from high-dimensional data spaces and then automatically predicts the overall quality of the input unstructured mesh.
Findings
The paper provides a series of experimental results on GPUs. It shows that AircraftNet is able to effectively analyze the quality-related features like mesh density and distribution from the extracted features and achieve high prediction accuracy on the proposed dataset with even a small number of training runs.
Research limitations/implications
Because of the limited training dataset, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.
Originality/value
The paper publishes a benchmarking dataset for mesh quality learning algorithms and designs a novel neural network approach for unstructured mesh quality evaluation.