Chengtao Wang, Wei Li, Yuqiao Wang, Xuefeng Yang, Shaoyi Xu, Kunpeng Li and Yunyun Zhao
The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.
Abstract
Purpose
The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.
Design/methodology/approach
First, corrosion experimental system of buried metallic structure is established. The research object of this paper is the polarization potential within 110 min, CNN model is used to predict the quantitative level of stray current leakage using the data from corrosion experimental system further. Finally, results are compared with the method using BP neural network.
Findings
Results show that the CNN model has better predictive effect and shorter prediction time than the BP model, the accuracy of which is 82.5507 per cent, and the prediction time is shortened by more than 10 times.
Originality/value
The established model can be used to forecast the level of stray current leakage in the subway system effectively, which provides a new theoretical basis for evaluating the stray current corrosion hazard of buried metallic structure.
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Keywords
Xu Dongyang, Li Kunpeng, Yang Jiehui and Cui Ligang
This paper aims to explore the commodity transshipment planning among customers, which is commonly observed in production/sales enterprises to save the operational costs.
Abstract
Purpose
This paper aims to explore the commodity transshipment planning among customers, which is commonly observed in production/sales enterprises to save the operational costs.
Design/methodology/approach
A mixed integer programming (MIP) model is built and five types of valid inequalities for tightening the solution space are derived. An improved variable neighborhood search (IVNS) algorithm is presented combining the developed multistart initial solution strategy and modified neighborhood local search procedure.
Findings
Experimental results demonstrate that: with less decision variables considered, the proposed model can solve more instances compared to the existing model in previous literature. The valid inequalities utilized to tighten the searching space can efficiently help the model to obtain optimal solutions or high-quality lower bounds. The improved algorithm is efficient to obtain optimal or near-optimal solutions and superior to the compared algorithm in terms of solution quality, computational time and robustness.
ractical implications
This research not only can help reduce operational costs and improve logistics efficiency for relevant enterprises, but also can provide guidance for constructing the decision support system of logistics intelligent scheduling platform to cater for centralized management and control.
Originality/value
This paper develops a more compact model and some stronger valid inequalities. Moreover, the proposed algorithm is easy to implement and performs well.
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Erdem Galipoglu, Herbert Kotzab, Christoph Teller, Isik Özge Yumurtaci Hüseyinoglu and Jens Pöppelbuß
The purpose of this paper is twofold: to identify, evaluate and structure the research that focusses on omni-channel retailing from the perspective of logistics and supply chain…
Abstract
Purpose
The purpose of this paper is twofold: to identify, evaluate and structure the research that focusses on omni-channel retailing from the perspective of logistics and supply chain management; and to reveal the intellectual foundation of omni-channel retailing research.
Design/methodology/approach
The paper applies a multi-method approach by conducting a content-analysis-based literature review of 70 academic papers. Based on the reference lists of these papers, the authors performed a citation and co-citation analysis based on the 34 most frequently cited papers. This analysis included multidimensional scaling, a cluster analysis and factor analysis.
Findings
The study reveals the limited consideration of logistics and supply chain management literature in the foundation of the omni-channel retailing research. Further, the authors see a dominance of empirical research as compared to conceptual and analytical research. Overall, there is a focus on the Western retail context in this research field. The intellectual foundation is embedded in the marketing discipline and can be characterised as lacking a robust theoretical foundation.
Originality/value
The contribution of this research is identifying, evaluating and structuring the literature of omni-channel research and providing an overview of the state of the art of this research area considering its interdisciplinary nature. This paper thus supports researchers looking to holistically comprehend, prioritise and use the underpinning literature central to the phenomena of omni-channel retailing. For practitioners and academics alike, the findings can trigger and support future research and an evolving understanding of omni-channel retailing.
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Jie Hao, Zhenzhen Xie and Kunpeng Sun
The purpose of this study is to examine if the international experience of a family firm’s chairman, second-generation managers and other top managers all have impacts of…
Abstract
Purpose
The purpose of this study is to examine if the international experience of a family firm’s chairman, second-generation managers and other top managers all have impacts of different strengths using information about Chinese family firms’ international expansion.
Design/methodology/approach
Matching tactics and dynamic Heckman 2-stage analysis were applied to data on 766 publicly-listed Chinese family businesses covering 2008–2014.
Findings
The international experience of the chairman, second-generation family managers and other senior managers all were found to correlate with the proportion of a firm’s revenue earned abroad, as well as with the number of its cross-border mergers and acquisitions. The impact of a chairman’s international experience is stronger than the impact of the other two groups when internationalization is measured in terms of the proportion of revenue earned overseas. The second-generation managers’ international experience is the most influential when internationalization is measured in terms of the number of cross-border mergers and acquisitions.
Originality/value
This paper bridges agency theory with upper echelons theory in the context of the family business. The findings contribute to the scholarly understanding of family business by illuminating the mechanisms through which second-generation managers may influence family firms’ internationalization. They also enrich the knowledge of family firms in China.
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Kunpeng Shi, Guodong Jin, Weichao Yan and Huilin Xing
Accurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel…
Abstract
Purpose
Accurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel machine-learning method for the rapid estimation of permeability of porous media at different deformation stages constrained by hydro-mechanical coupling analysis.
Design/methodology/approach
A convolutional neural network (CNN) is proposed in this paper, which is guided by the results of finite element coupling analysis of equilibrium equation for mechanical deformation and Boltzmann equation for fluid dynamics during the hydro-mechanical coupling process [denoted as Finite element lattice Boltzmann model (FELBM) in this paper]. The FELBM ensures the Lattice Boltzmann analysis of coupled fluid flow with an unstructured mesh, which varies with the corresponding nodal displacement resulting from mechanical deformation. It provides reliable label data for permeability estimation at different stages using CNN.
Findings
The proposed CNN can rapidly and accurately estimate the permeability of deformable porous media, significantly reducing processing time. The application studies demonstrate high accuracy in predicting the permeability of deformable porous media for both the test and validation sets. The corresponding correlation coefficients (R2) is 0.93 for the validation set, and the R2 for the test set A and test set B are 0.93 and 0.94, respectively.
Originality/value
This study proposes an innovative approach with the CNN to rapidly estimate permeability in porous media under dynamic deformations, guided by FELBM coupling analysis. The fast and accurate performance of CNN underscores its promising potential for future applications.
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Mengjie Huang, Kunpeng Sun and Yuan Xie
An emerging line of research examining the role of numerological superstition in the capital market shows that it has significant impact on investor behavior (Bhattacharya, Kuo…
Abstract
Purpose
An emerging line of research examining the role of numerological superstition in the capital market shows that it has significant impact on investor behavior (Bhattacharya, Kuo, Lin, & Zhao, 2018; Hirshleifer, Jian, & Zhang 2018). However, to the authors’ best knowledge, there is a dearth of evidence on whether numerological superstition affects corporate behavior. This study fills this void by examining the association between investors’ numerological superstition and earnings management using Chinese data.
Design/methodology/approach
Chinese culture views 6 and 8 as lucky numbers. Using Chinese publicly traded firms, the authors examine the relation between investors’ numerological superstition and corporate financial reporting behavior.
Findings
The results suggest that firms reporting lucky earnings-per-share (EPS) numbers ending with 6 or 8 are more likely to engage in earnings management. These firms also raise more capital through seasoned equity offerings in the following year; however, they do not have more capital investments. Instead, their controlling shareholders siphon a significant amount of capital through related party transactions. Overall, the findings suggest that managers collude with controlling shareholders to manage earnings by exploiting the superstitious beliefs of minority shareholders.
Originality/value
To the authors’ best knowledge, there is a dearth of evidence on whether numerological superstition affects corporate behavior. This study fills this void by examining the association between investors’ numerological superstition and earnings management using Chinese data.
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David A. Schweidel, Martin Reisenbichler, Thomas Reutterer and Kunpeng Zhang
Advances in artificial intelligence have ushered in new opportunities for marketers in the domain of content generation. We discuss approaches that have emerged to generate text…
Abstract
Advances in artificial intelligence have ushered in new opportunities for marketers in the domain of content generation. We discuss approaches that have emerged to generate text and image content. Drawing on the customer equity framework, we then discuss the potential applications of automated content generation for customer acquisition, relationship development, and customer retention. We conclude by discussing important considerations that businesses must make prior to adopting automated content generation.
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Yuanqiong He, Xiu-Hao Ding and Kunpeng Yang
Teamwork is important for innovation, but it often incurs conflicts. Previous literature has reported inconsistent relationships between conflicts and team performance. The…
Abstract
Purpose
Teamwork is important for innovation, but it often incurs conflicts. Previous literature has reported inconsistent relationships between conflicts and team performance. The purpose of this paper is to clarify this relationship and explore how to improve team innovation using conflict management styles.
Design/methodology/approach
This study collects data in China and the survey covering 436 participants from 126 project teams. Then, structure equation model by AMOS and moderated regression analyses are used for hypotheses testing.
Findings
This study finds that cognitive conflict and affective conflict have positive and negative effects on team innovation separately, and cognitive conflict positively affects affective conflict, with the total effect of cognitive conflict on team innovation being negative. Moreover, this study suggests that cooperative conflict management styles and dominating style (one of competitive conflict management styles) moderate the relationship between cognitive conflict and affective conflict negatively and positively.
Research limitations/implications
First, this study did not consider features of organizations as control variables. Future research can advance in this direction. Second, the data were collected from a single marketing innovation program. Further research might use more diversified teams to test the hypotheses.
Practical implications
Firms should realize that cognitive conflict promotes team innovation directly, but it also harms team innovation through affective conflict. Then, cooperative conflict management styles are effective in weakening the relationship between cognitive conflict and affective conflict.
Originality/value
This study fulfills an identified need to clarify the relationship between conflict and team performance, as well as how conflict management styles moderating the relationship between cognitive conflict and affective conflict.
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Guoquan Chen, Jingyi Wang, Wei Liu, Fen Xu and Qiong Wu
This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on…
Abstract
Purpose
This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance.
Design/methodology/approach
This study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance.
Findings
Four knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain.
Practical implications
This paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode.
Originality/value
To the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.