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Article
Publication date: 8 November 2022

Meng Di Zhang and Mohd Haniff Jedin

Drawing on the resource-based view (RBV) and structure–conduct–performance (SCP) paradigm perspectives, this study aims to investigate the influence of the innovation and…

618

Abstract

Purpose

Drawing on the resource-based view (RBV) and structure–conduct–performance (SCP) paradigm perspectives, this study aims to investigate the influence of the innovation and technical capabilities of exporting organisations on their export performance moderate by competitive intensity.

Design/methodology/approach

Primary data were collected from 162 Chinese manufacturer–exporter companies operating across China. The conceptual framework of this study, which incorporated the impact of RBV and SCP paradigm determinants on export performance through the interaction effect of competitive intensity, was tested using structural equation modelling (Smart-PLS).

Findings

Results show that the technical and innovation capabilities can increase its export success in international markets. Furthermore, this research finds that competitive intensity moderates the positive relationship between technical capability and export performance but not the relationship between innovation capability and export performance.

Originality/value

This study presents a holistic assessment of the export performance of manufacturer–exporter enterprises by accounting for the overlooked effect of organisational capabilities through the moderating function of competitive intensity. This study has far-reaching consequences for export academics and practitioners, including the fundamental concept of an internationalizing small- and medium-sized enterprises, especially the manufacturers.

Details

Review of International Business and Strategy, vol. 33 no. 5
Type: Research Article
ISSN: 2059-6014

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Article
Publication date: 11 October 2024

Liang Zhu, Hongzhang Qu, Di Zhang and Fei Bao

The purpose of this article is to carry out a lightweight design of the joint structure according to the service condition of the joint.

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Abstract

Purpose

The purpose of this article is to carry out a lightweight design of the joint structure according to the service condition of the joint.

Design/methodology/approach

The finite element analysis techniques are used along with the variable density structure topology optimization method, the multi-island genetic algorithm for structural dimension optimization and the fatigue life analysis method.

Findings

Utilizing the topology optimization method and size optimization method, the mass of the optimized model for the A100 material model is 9.67 kg. Compared to the pre-optimized model, the mass decreases by 8.23 kg, representing a weight reduction of 46.0% in the optimized model; the fatigue life of the aircraft joint is predicted to be a maximum of 1,460,017 cycles.

Originality/value

The originality of this study is that it provides new design ideas for the lightweight design of aircraft load-bearing structures.

Details

Multidiscipline Modeling in Materials and Structures, vol. 20 no. 6
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 6 February 2024

Ning Xu, Di Zhang, Yutong Li and Yingjie Bai

Green technology innovation is the organic combination of green development and innovation driven. It is also a powerful guarantee for shaping sustainable competitive advantages…

251

Abstract

Purpose

Green technology innovation is the organic combination of green development and innovation driven. It is also a powerful guarantee for shaping sustainable competitive advantages of manufacturing enterprises. To explore what kind of executive incentive contracts can truly stimulate green technology innovation, this study aims to distinguish the equity incentive and reputation incentive, upon their contractual elements characteristics and green governance effects, and then put forward suggestions for green technology innovation accordingly.

Design/methodology/approach

This study establishes an evaluation model and uses empirical methods to test. Concretely, using data from A-share listed manufacturing companies for the period from 2007 to 2020, this study compares and analyzes the impact of equity and reputation incentive on green technology innovation and explores the relationship between internal green business behavior and external green in depth.

Findings

This study finds that reputation incentives focus on long-term and non-utilitarian orientation, which can promote green technology innovation in enterprises. While equity incentives, linked to performance indicators, have a inhibitory effect on green technology innovation. Internal and external institutional factors such as energy conservation measures, the “three wastes” management system, and environmental recognition play the regulatory role in the relationship between incentive contracts and green technology innovation.

Originality/value

Those findings validate and expand the efficient contracting hypothesis and the rent extraction hypothesis from the perspective of green technology innovation and provide useful implications for the design of green governance systems in manufacturing enterprises.

Details

Chinese Management Studies, vol. 18 no. 5
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 14 February 2025

Chunxing Gu, Xiaoli Sheng and Di Zhang

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication…

7

Abstract

Purpose

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.

Design/methodology/approach

In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.

Findings

The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.

Originality/value

In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 6 July 2023

Chunxing Gu, Li Dai, Di Zhang and Shuwen Wang

This paper aims to study the startup performance of thrust bearing. The effects of acceleration scenarios, roughness, the area ratio of texture and texture depth on the transient…

113

Abstract

Purpose

This paper aims to study the startup performance of thrust bearing. The effects of acceleration scenarios, roughness, the area ratio of texture and texture depth on the transient startup performance of the thrust bearing were analyzed.

Design/methodology/approach

The lubrication model is solved by the Reynolds equation with the mass-conservation boundary condition. The Greenwood and Tripp contact model is used to predict asperity contact load. The finite volume method is used to discretize the governing equations.

Findings

By studying the bearing performance with different acceleration functions, it was found that the higher the acceleration at the beginning of the startup, the faster the thrust bearing operates under the hydrodynamic lubrication regime in the start stage. It appears that the friction and contact time of asperity increase with the increasing roughness. The optimal area ratio of texture is within 30%–50%. The depth of texture ranging from 1 to 2 is the best.

Originality/value

This paper proposes a transient mixed lubrication analysis model of the thrust bearing. This model can be used to analyze the variations of tribological performance and lubrication regime of the thrust bearing under different acceleration scenarios.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2022-0268/

Details

Industrial Lubrication and Tribology, vol. 75 no. 6
Type: Research Article
ISSN: 0036-8792

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 September 2017

Grace W.Y. Wang, Zhisen Yang, Di Zhang, Anqiang Huang and Zaili Yang

This study aims to develop an assessment methodology using a Bayesian network (BN) to predict the failure probability of oil tanker shipping firms.

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Abstract

Purpose

This study aims to develop an assessment methodology using a Bayesian network (BN) to predict the failure probability of oil tanker shipping firms.

Design/methodology/approach

This paper proposes a bankruptcy prediction model by applying the hybrid of logistic regression and Bayesian probabilistic networks.

Findings

The proposed model shows its potential of contributing to a powerful tool to predict financial bankruptcy of shipping operators, and provides important insights to the maritime community as to what performance measures should be taken to ensure the shipping companies’ financial soundness under dynamic environments.

Research limitations/implications

The model and its associated variables can be expanded to include more factors for an in-depth analysis in future when the detailed information at firm level becomes available.

Practical implications

The results of this study can be implemented to oil tanker shipping firms as a prediction tool for bankruptcy rate.

Originality/value

Incorporating quantitative statistical measurement, the application of BN in financial risk management provides advantages to develop a powerful early warning system in shipping, which has unique characteristics such as capital intensive and mobile assets, possibly leading to catastrophic consequences.

Details

Maritime Business Review, vol. 2 no. 3
Type: Research Article
ISSN: 2397-3757

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Article
Publication date: 15 October 2021

Chengpeng Wan, Jiale Tao, Zaili Yang and Di Zhang

Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These…

1298

Abstract

Purpose

Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks (LSNs). The purpose of this paper is to establish a novel risk-based resilience framework to measure the effectiveness of different recovery strategies for the disruptions in LSNs in a quantitative manner.

Design/methodology/approach

Based on a resilience loss triangle model, an indicator of resilience–cost ratio is designed to measure the performance of LSNs during recovery. Four recovery strategies are proposed to test the rationality and feasibility of the developed indicator in aiding decision-making of LSNs from a resilience perspective.

Findings

The analysis results reveal that the superiorities of different recovery strategies vary depending on both the structures of LSNs and the specific requirements during recovery. Moreover, optimizing the sequence of ports being recovered will improve the overall recovery efficiency of the investigated LSN.

Research limitations/implications

As an exploratory research trying to enrich the risk-based resilience evaluation of LSNs from a complex network perspective, only two attributes (e.g. port scare and economy) are considered at the current stage when estimating the time needed to fully recover the whole LSN. In future research, more attributes from the industry may be identified and incorporated into the proposed model to further extend its ability and application scopes.

Practical implications

The findings will help to improve managerial understandings of recovery strategies to build more resilient LSNs. The proposed model has the capability to be tailored to tackle different types of risks in addition to the storm disaster condition.

Originality/value

The risk-based resilience framework and the resilience–cost ratio indicator are newly developed in this research. They can consider LSNs' structural resilience and the total costs that a recovery strategy needs to restore the whole system simultaneously.

Details

The International Journal of Logistics Management, vol. 33 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

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Article
Publication date: 14 April 2023

Hanwen Chen, Siyi Liu, Daoguang Yang and Di Zhang

This study aims to investigate the role of regional environmental transparency on corporate environmental disclosure.

547

Abstract

Purpose

This study aims to investigate the role of regional environmental transparency on corporate environmental disclosure.

Design/methodology/approach

This study uses the introduction of a nationwide automated air pollution monitoring network in China as a quasi-natural experiment and employs regression analysis. Robustness checks, including parallel trend test and placebo test, are performed to test the robustness of the results.

Findings

Sharing air pollution data with the public can improve corporate environmental disclosure. Firms with poorer environmental, social and governance (ESG) performance prefer to disclose less informative information after the automated network is implemented compared with firms with better ESG performance. The relationship between information sharing and corporate environmental transparency is more pronounced when local air pollution is severer, firms face stronger investor scrutiny and firms are from heavily polluting industries. The mechanism tests suggest the automated system can draw public environmental attention and improve governments’ aspiration for environmental governance. Finally, corporate environmental disclosure can reduce stock price crash risk and cost of equity.

Practical implications

Real-time pollution data reporting is an important solution to raising public environmental awareness and then enhancing the effectiveness of pollution control.

Social implications

This study has implications for policy-making regarding environmental governance and environmental disclosure.

Originality/value

This study confirms that pollution information transparency can motivate firms to increase environmental disclosure.

Details

Sustainability Accounting, Management and Policy Journal, vol. 14 no. 3
Type: Research Article
ISSN: 2040-8021

Keywords

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Book part
Publication date: 14 November 2017

Hue Chi Dao and Bruce C. Martin

We contribute to the growing literature examining how social enterprises might best accommodate their hybrid structure when pursuing dual goals of social improvement and economic…

Abstract

We contribute to the growing literature examining how social enterprises might best accommodate their hybrid structure when pursuing dual goals of social improvement and economic sustainability. Drawing on extant literature, the case is made for why synergy between the social and commercial business models that hybrid social enterprises employ should positively impact effectiveness in delivering organization outcomes. We then develop a method for comparing the synergy between the social and commercial business models employed within and across organizations, and test the method using a sample of seven social enterprises operating in different social fields. Results demonstrate that our method can be applied consistently across a range of social enterprise types and that variation in degree of synergy is considerable with overlap rates ranging from 9% to 77%. Using learning from this exploratory study, we develop propositions describing how and why social entrepreneurs develop business model synergy, the relationship between business model synergy and organizational performance, and suggest future research to test these propositions. Implications for theory development and practice are discussed.

Details

Hybrid Ventures
Type: Book
ISBN: 978-1-78743-078-5

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Article
Publication date: 12 January 2021

Aikaterini Stavrianea and Irene (Eirini) Kamenidou

Memorable tourism experiences (MTEs) can reinforce a destination's competitiveness. The literature has called for further research on this topic. This study develops and…

2307

Abstract

Purpose

Memorable tourism experiences (MTEs) can reinforce a destination's competitiveness. The literature has called for further research on this topic. This study develops and empirically examines a conceptual model exploring the relationships between MTEs, satisfaction, destination image (DI) and loyalty.

Design/methodology/approach

Quantitative research was conducted with 729 respondents who had visited the Greek island of Santorini in the last three years, and structural equation modeling was used.

Findings

The findings confirm the strength of the proposed model, which explained 58% of the variance for MTEs and 82% of that for tourist loyalty. The results reveal that MTEs influenced destination loyalty directly and indirectly through satisfaction, while DI influenced loyalty directly and indirectly.

Research limitations/implications

This study provides new insight into the importance of MTEs, satisfaction and DI in the formation of destination loyalty.

Practical implications

This study provides new insight into the importance of MTEs, satisfaction, and DI in the formation of destination loyalty.

Originality/value

The proposed model is the first to include these factors and the specific relationships between them.

Details

EuroMed Journal of Business, vol. 17 no. 1
Type: Research Article
ISSN: 1450-2194

Keywords

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