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Article
Publication date: 2 August 2019

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.

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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.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 4
Type: Research Article
ISSN: 0003-5599

Keywords

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Article
Publication date: 21 July 2020

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.

519

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.

Details

Industrial Management & Data Systems, vol. 120 no. 8
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 15 February 2018

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…

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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.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 4
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 17 June 2021

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…

632

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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Article
Publication date: 16 April 2024

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…

108

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.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 8
Type: Research Article
ISSN: 0961-5539

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 April 2023

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…

1354

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.

Details

China Accounting and Finance Review, vol. 25 no. 3
Type: Research Article
ISSN: 1029-807X

Keywords

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Book part
Publication date: 13 March 2023

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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Article
Publication date: 9 September 2014

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…

2031

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.

Details

Management Decision, vol. 52 no. 8
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 31 January 2022

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…

608

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.

Available. Content available
Book part
Publication date: 13 March 2023

Free Access. Free Access

Abstract

Details

Artificial Intelligence in Marketing
Type: Book
ISBN: 978-1-80262-875-3

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