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Article
Publication date: 7 May 2020

Jingyuan Wan, Yun Le, Ge Wang, Nini Xia and Xiaoxue Liu

Following the call to explore what leadership theory could be applicable in temporary organizations, the purpose of this study was to develop an integrative model linking the…

1208

Abstract

Purpose

Following the call to explore what leadership theory could be applicable in temporary organizations, the purpose of this study was to develop an integrative model linking the effects of paternalistic leadership styles (i.e. authoritarian, benevolent and moral) on the behavioral integration (BI) of top management teams (TMTs) in megaproject settings.

Design/methodology/approach

The performance of the research model was tested based on empirical data collected from a sample of 43 megaproject TMTs.

Findings

The results show that the moral leadership style can significantly stimulate the BI of TMTs, whereas authoritarian leadership has a negative impact and benevolent leadership has no significant impact. Furthermore, trust in leader plays a partial mediating role between paternalistic leadership and BI, and the power distance value of TMT positively moderates the links between authoritarian and moral leadership styles and BI.

Research limitations/implications

The TMT sample was drawn from China's megaprojects, most of which have global influence (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), but the sampling approach limits the generalizability of the research findings to other contexts.

Originality/value

This study introduces the concept of BI into the realm of megaproject management and provides a novel perspective (i.e. paternalistic leadership) for exploring its antecedents. The findings, therefore, contribute to the literature by broadening the megaproject management research with a microfoundation perspective and by extending the extant paternalistic leadership in the context of temporary organizational settings.

Details

International Journal of Managing Projects in Business, vol. 13 no. 5
Type: Research Article
ISSN: 1753-8378

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Article
Publication date: 29 January 2020

Le Yun, Jingyuan Wan, Ge Wang, Ju Bai and Bing Zhang

The purpose of this paper is to analyze the relationship between the demographic characteristics of top management teams (TMTs) (i.e. age, gender, administrative level, senior…

1107

Abstract

Purpose

The purpose of this paper is to analyze the relationship between the demographic characteristics of top management teams (TMTs) (i.e. age, gender, administrative level, senior management experience and educational background) and megaproject performance, with respect to schedule, cost, quality, safety and technological innovation. The results shed new light on the effectiveness of different types of TMT.

Design/methodology/approach

This paper collected secondary and objective data from 208 TMT members in 42 megaprojects and employed hierarchical regression analysis to test the research hypotheses.

Findings

The findings revealed that age has a significant influence on schedule performance; gender has a significant influence on safety performance; senior management experience has a significant influence on cost performance; and educational background has a significant influence on both schedule and technological innovation performance. However, this study did not find evidence of a significant relationship between the administrative level and megaproject performance.

Research limitations/implications

This paper mainly focused on China’s megaprojects, most of which are globally influential (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), however this sampling approach still limits the generalizability of research findings to other contexts.

Originality/value

The results of this paper contribute to a better understanding of how management team capabilities translate into better project achievements. This paper also provides implications on the criteria for selecting top megaproject managers to optimize the composition of the TMT and realize better performance.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 5
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 12 November 2021

Ge Wang, Giorgio Locatelli, Huijin Zhang, Jingyuan Wan and Yufan Chen

Organizational citizenship behaviors for the environment (OCBEs) represent a crucial element of environmental sustainability for a wide range of organizations. However, the…

644

Abstract

Purpose

Organizational citizenship behaviors for the environment (OCBEs) represent a crucial element of environmental sustainability for a wide range of organizations. However, the leadership mechanisms underlying OCBEs are as yet unexplored, particularly regarding the delivering megaprojects. The paper aims to investigate how transformational leadership (TFL) and transactional leadership (TSL) styles shape the environmental commitment (EC) of subordinates, motivating OCBEs in megaprojects.

Design/methodology/approach

Partial least squares modeling and hierarchical regression were performed on data obtained from 140 experts who have been involved in megaprojects.

Findings

Both TFL and TSL styles are effective in motivating OCBEs, although the EC of subordinates partially mediates these relationships. The power distance (PD) orientation significantly moderates the relationship between TFL and OCBEs, with the relationship being more positive when the PD of subordinates is lower. Unexpectedly, a collectivist orientation (CO) was found to elevate the effect of TSL but weaken the effect of TFL.

Originality/value

The mixed and contradictory findings regarding TFL and TSL styles are reconciled in the current study by integrating the contextual factors of PD and CO. The findings of the study shed new light on “playing the cards right” when using the leadership practices, i.e. how leadership can be better leveraged to cultivate subordinates' OCBEs. They also provide targeted guidance for shaping contextual factors to increase the environmental sustainability of megaprojects.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 2
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 28 March 2023

Li Hong, Jingyuan Wang, Jianxian Cai, Yuntian Teng and Zhongchao Qiu

In response to the common low sensitivity of fiber Bragg grating (FBG) temperature sensors in measurement, an FBG temperature sensor sensitized in a substrate-type package…

116

Abstract

Purpose

In response to the common low sensitivity of fiber Bragg grating (FBG) temperature sensors in measurement, an FBG temperature sensor sensitized in a substrate-type package structure is proposed.

Design/methodology/approach

The sensitivity of sensors is analyzed theoretically; aluminum alloys with large coefficient of thermal expansion are used; the ANSYS software is used for simulation analysis and optimization design of sensors; real sensors are developed based on simulation results; in this study, a test system was built to test the performance of the proposed sensor.

Findings

The results suggested that the sensitivity of encapsulated FBG temperature sensor is 27.3 pm/°C in the range of −20 °C to 40 °C, which is 2.7 times that of bare FBG sensor, while the linearity is up to more than 0.99.

Practical implications

The sensitivity of FBG temperature sensor is greatly improved by the design of the structure.

Originality/value

This study innovatively proposes substrate-type sensitized FBG temperature sensor. The temperature sensitivity of fiber grating can be improved by single metal structure, and the effect of structural strain can be reduced by a tab structure. The study results provide a reference for the development of like sensors and the further improvement in the sensitivity of FBG temperature sensors.

Details

Sensor Review, vol. 43 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 7 February 2019

Liang Chen, Jingyuan Shi, Yu Guo, Pianpian Wang and Yiwei Li

The purpose of this paper is to explore and compare haze-related content between traditional and social media in China by applying agenda-setting theory and the extended parallel…

2801

Abstract

Purpose

The purpose of this paper is to explore and compare haze-related content between traditional and social media in China by applying agenda-setting theory and the extended parallel process model (EPPM). Specifically, this paper examines the correlation between the two forms of media in terms of the ranking of the attributes of haze (i.e. the EPPM components) and the interrelationships among the attributes.

Design/methodology/approach

Content analysis and semantic network analysis were employed to address the research aims.

Findings

The results revealed that more than half of the total messages on both types of media reflected the EPPM components, either threat or efficacy information. However, the imbalance between the threat and efficacy information was more prominent in the haze-related content presented in the People’s Daily than it was on Weibo. In addition, the results from a Spearman’s rank-order correlation and a quadratic assignment procedure (QAP) indicated that there was no significant correlation between the People’s Daily and Weibo in terms of the rankings of the attributes of haze (i.e. the EPPM components) or the interrelationships among the attributes.

Originality/value

This study is the first to apply a theoretical approach to examine and compare the nature of haze-related messages on traditional and social media.

Details

Internet Research, vol. 29 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Content available
Book part
Publication date: 28 June 2023

Xinru Liu and Honggen Xiao

Free Access. Free Access

Abstract

Details

Poverty and Prosperity
Type: Book
ISBN: 978-1-80117-987-4

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Article
Publication date: 12 November 2024

Jingyuan Wang, Yong-Hua Li, Denglong Wang and Min Chai

To address the shortcomings of the traditional back propagation (BP) neural network agent model, such as insufficient fitting accuracy and low computational efficiency, an…

22

Abstract

Purpose

To address the shortcomings of the traditional back propagation (BP) neural network agent model, such as insufficient fitting accuracy and low computational efficiency, an improved method is proposed.

Design/methodology/approach

In this study, an improved sparrow search algorithm (ISSA) is developed to optimize the reliability calculation of the BP neural network (ISSA-BP) using an enhanced BP neural network model. The traditional sparrow search algorithm is enhanced by incorporating a golden sine strategy to improve its position-updating mechanism, thereby overcoming its tendency to converge prematurely to local optima. Additionally, an opposition-based learning strategy is integrated to explore the reverse solution around the optimal solution of the sparrow search algorithm, mitigating the risk of local optima.

Findings

The results of the test function demonstrate that the proposed method significantly enhances fitting accuracy while maintaining computational efficiency. Finally, by applying this approach to the metro bogie frame as a case study, the structural reliability of the bogie frame is evaluated using the Monte Carlo method, providing valuable insights for subsequent analysis and structural optimization.

Originality/value

The use of the surrogate model approach for structural reliability analysis significantly improves solution efficiency. Furthermore, the integration of ISSA with the BP neural network enhances both fitting accuracy and computational efficiency, demonstrating the superiority and practicality of the proposed method.

Details

International Journal of Structural Integrity, vol. 15 no. 6
Type: Research Article
ISSN: 1757-9864

Keywords

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Article
Publication date: 26 July 2022

Joana Baleeiro Passos, Daisy Valle Enrique, Camila Costa Dutra and Carla Schwengber ten Caten

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies…

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Abstract

Purpose

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

Design/methodology/approach

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

Findings

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

Originality/value

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

Details

International Journal of Innovation Science, vol. 15 no. 3
Type: Research Article
ISSN: 1757-2223

Keywords

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