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Article
Publication date: 7 August 2017

Jianxun Chen, Songbo liu, Yue Wang, Tao Wang and Xueqiang Zheng

Based on the team conflict theory and organizational learning theory, this study aims to discuss the two different types of conflicts of the top management team (TMT) on…

Abstract

Purpose

Based on the team conflict theory and organizational learning theory, this study aims to discuss the two different types of conflicts of the top management team (TMT) on the different mechanisms of exploratory learning behavior of firms, and, based on the perspective of CEO-TMT (CEO – chief executive officer) interface, the different moderating effects caused by different CEO leadership styles are clarified.

Design/methodology/approach

Using the sample of 193 firms’ samples with multi-source data, the authors take an empirical test of the theoretical framework.

Findings

The effect of task conflict on exploratory learning behavior was insignificant, and relationship conflict had a positive effect on exploratory learning behavior. However, when CEO’s transformational leadership level was high, or transactional leadership level was low, there existed “bathtub curve” relationship between task conflict and exploratory learning behavior, and the relationship conflict under these conditions strengthened exploratory learning behavior. When CEO’s transactional leadership level was high, or transformational leadership level was low, there existed the inverted U-shaped relationship between task conflict and exploratory learning behavior, and the relationship conflict under such conditions weakened exploratory learning behavior.

Originality/value

First, the authors challenge the assumption of linear mechanism of task conflict, trying to build the mechanism of curve hypothesis, and the nonlinear explanation might be able to integrate the inconsistent results in the existing literature. Second, according to the inconsistent results of relationship conflict in existing literature, this study takes perspective of the CEO-TMT and introduces CEO leadership behavior as a moderating variable to test the moderating effect of CEO leadership and clarifies the boundary conditions of TMT conflicts.

Details

Nankai Business Review International, vol. 8 no. 3
Type: Research Article
ISSN: 2040-8749

Keywords

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Article
Publication date: 9 January 2019

Bo Zhang, Jianxun Chen, Amy Tian, Jonathan Morris and Hejun Fan

Following industry-based view’s (IBV) isomorphic trend among firms in the same industries, the purpose of this paper is twofold: first, to investigate whether industry…

Abstract

Purpose

Following industry-based view’s (IBV) isomorphic trend among firms in the same industries, the purpose of this paper is twofold: first, to investigate whether industry capital intensity encourages or inhibits firm’s utilization of strategic HRM systems, particularly, high-commitment work systems (HCWS); and second, to examine the quadratic moderating role of firm size on the relationship between industry capital intensity and firms’ utilization of HCWS, drawing on the interactionist view of IBV and the resource-based view, as well as the interactive perspective in the contextualized HRM field.

Design/methodology/approach

The research design was time lagged. Firm-level subjectively rated data were collected from 168 large firms with more than 200 employees in Beijing. Industry-level objectively rated data were collected from the statistics yearbooks of Beijing city.

Findings

The industry capital intensity was positively related to firms’ utilization of HCWS, all else being equal. For large firms in this research, the relationship between industry capital intensity and firms’ utilization of HCWS was moderated by firm size in a quadratic way.

Originality/value

This research contributes to contextualized HRM literature by empirically examining the complex interactive effects of industry capital intensity and firm’s utilization of HCWS. First, it established the direct cross-level relationship between industry capital intensity and firms’ utilization of strategic HRM systems. Moreover, it explored the boundary conditions of such relationship by investigating the quadratic moderating role of firm size.

Details

Personnel Review, vol. 48 no. 2
Type: Research Article
ISSN: 0048-3486

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Article
Publication date: 3 April 2018

Binghua Zhou, Yiguo Xue, Mingtian Li, Zhiqiang Li, Xueliang Zhang and Yufan Tao

When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s…

Abstract

Purpose

When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s health and driving safety. The use of numerous jet fans to diffuse the smoke causes excessive energy consumption, so it is of significant practical value to design suitable tunnel ventilation.

Design/methodology/approach

The study is based on the continuum hypothesis, incompressible hypothesis, steady flow hypothesis and similar hypothesis of gas in a long highway tunnel. These hypotheses calculate the gas emissions and wind demand in a long highway tunnel given the deployment of the jet fan program.

Findings

This program selects each of the two 1120-type jet machine group and sets up 13 groups; each group has an interval of 184.5 m in the end. The analysis of air test results when the tunnel is in operation shows that CO and smoke concentrations meet the design requirements, which can provide reference for a similar engineering design later.

Originality/value

At present, a highway tunnel is recognized at home and abroad by means of clearance of longitudinal ventilation, which is 2,000 m. In view of this, this paper is based on the theory of longitudinal jet ventilation of a highway tunnel, whose length is more than 2,000 m, to calculate the ventilation and apply it to a tunnel’s ventilation design.

Details

Journal of Engineering, Design and Technology, vol. 16 no. 2
Type: Research Article
ISSN: 1726-0531

Keywords

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Article
Publication date: 8 March 2021

Tunde Simeon Amosun, Chu Jianxun, Olayemi Hafeez Rufai, Sayibu Muhideen, Riffat Shahani, Zakir Shah and Jonathan Koroma

The purpose of this paper is to investigate university students’ WeChat usage during the COVID-19 pandemic lockdown in relation to the mediating role of online…

Abstract

Purpose

The purpose of this paper is to investigate university students’ WeChat usage during the COVID-19 pandemic lockdown in relation to the mediating role of online self-disclosure on their quality of friendship and well-being. A model is proposed to explain how students’ interactions occur during the lockdown and the mediatory role which self-disclosure plays in influencing their socio-psychological markup.

Design/methodology/approach

The research model was tested empirically through a survey conducted online with 600 research participants, comprising of university students in China.

Findings

Results in structural equation modeling show that WeChat interaction significantly correlates with the quality of friendship, online self-disclosure but not significantly correlates with well-being, but an indirect relationship was found out in the mediation analysis. There is also a significant relationship between online self-disclosure, quality of friendship and well-being. Mediation analysis shows that online self-disclosure mediates the relationship between interactions on WeChat and quality of friendship; it also mediates the relationship between WeChat interaction and well-being. In all, the results achieved in this study will significantly help provide more insights in comprehending the nuances attached to some socio-psychological aspects of WeChat and how its usage affects people during the period of crisis.

Originality/value

Theoretically based investigation of WeChat usage among university students and its relationship with online self-disclosure, quality of friendship and well-being is still quite scarce, thereby underscoring the needs and significance of a theoretically based study in this regard. This study tested the credibility and validity of the proposed model in the context of the recent COVID-19 pandemic lockdown in China, which is one of the first in recent times.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

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Case study
Publication date: 1 January 2017

Yao Kai and Li Sizhi

This case explores how driver training school create experience value for their trainees. It describes the development of driver training industry, the foundation and new…

Abstract

This case explores how driver training school create experience value for their trainees. It describes the development of driver training industry, the foundation and new training mode of Rongan Driving School, changes and challenges of environment for Rongan facing and so on, which will guide readers to discuss six influence factors of customer experience, six dimensions of customer-experience value, the relationship between them, and the influence of social environment. Rongan's innovative training mode of “pay after learning, time-based billing, one car for one person”, provides a good training experience for driving trainees. It has become the benchmark of the national driving training industry within six years.

Details

Management School, Fudan University, vol. no.
Type: Case Study
ISSN: 2632-7635
Published by: Management School, Fudan University

Keywords

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Article
Publication date: 1 April 2005

Jianjiang Chen, Yifang Zhong, Renbin Xiao and Jianxun Sun

To obtain the global optimum of large‐scale complex engineering systems, the paper proposes a decomposition‐coordination method of multidisciplinary design optimization (MDO).

Abstract

Purpose

To obtain the global optimum of large‐scale complex engineering systems, the paper proposes a decomposition‐coordination method of multidisciplinary design optimization (MDO).

Design/methodology/approach

A rational decomposition approach based on artificial neural network (ANN) and genetic algorithms is proposed for partitioning the complex design problem into smaller, more tractable subsystems. Once the problem is decomposed into subsystems, each subsystem may be solved in parallel provided that there is some mechanism to coordinate the solutions in the different subsystems. So the response surface approximation model based on the ANN as a coordination method is described and a MDO framework is presented.

Findings

The proposed method was implemented in the design of a tactical missile. Numerical results show the effectiveness of the decomposition‐coordination method, as indicated by both better performance and lower computational requirements.

Originality/value

This paper adopts a novel MDO method to solve complex engineering problem and offers a potential and efficient MDO framework to researchers.

Details

Engineering Computations, vol. 22 no. 3
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 18 July 2016

Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao and Jianxun Liu

With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are…

Abstract

Purpose

With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion.

Design/methodology/approach

The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods.

Findings

Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level.

Originality/value

Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.

Details

Aslib Journal of Information Management, vol. 68 no. 4
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 19 February 2013

V. Tiagrajah and Kong Win

There is increasing desire and need in research of water region detection owing to the unexpected natural disaster that lead to financial, environment and human losses…

Abstract

There is increasing desire and need in research of water region detection owing to the unexpected natural disaster that lead to financial, environment and human losses. Surveying of water region and research on its feature is very basic step for many planning, especially for countries like Japan, where tsunami has caused the changes on water region in March, 2011. Essentially, identifying water region from satellite images is one of the grand steps of water resources management for a country. Professional and academic institutions play a vital role in the management of water resources as they are instrumental in research. The objective of this paper is to identify the water region from satellite image. In this paper, the segmentation algorithm based on SOM (self-organizing map) neural network with compression pre-processing by wavelet transform and image smoothing using Gaussian low-pass frequency domain filters are presented.

Details

World Journal of Engineering, vol. 10 no. 1
Type: Research Article
ISSN: 1708-5284

Keywords

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