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Article
Publication date: 31 August 2010

Yuchun Xiao, Xiyan Zheng, Wenan Pan and XiaoXia Xie

The purpose of this paper is to study the effects of team trust and individual trust on cooperative performance and to examine the role of relationship commitment.

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Abstract

Purpose

The purpose of this paper is to study the effects of team trust and individual trust on cooperative performance and to examine the role of relationship commitment.

Design/methodology/approach

Statistical analysis on questionnaire data from 245 team members was used to assess relationship between trust, relationship commitment and cooperative performance.

Findings

The results show that both the team trust and the individual trust are positively correlated with cooperative performance. The indirect effect of team trust on cooperative performance mediated by relationship commitment is significantly greater than its direct effect. However, the indirect effect of individual trust on cooperative performance mediated by relationship commitment is significantly less than its direct effect.

Originality/value

Previous researches about the trust between teams focused on the team trust which did not match with the reality, especially in China, a country that thinks highly of interpersonal relationship. The paper first considers the effects of both the team trust and the individual trust on cooperative performance and compares these effects with the effects mediated by relationship commitment.

Details

Chinese Management Studies, vol. 4 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Available. Content available
Article
Publication date: 31 August 2010

Check-Teck Foo

556

Abstract

Details

Chinese Management Studies, vol. 4 no. 3
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 11 February 2021

Sai Liang, Xiaoxia Zhang, Chunxiao Li, Hui Li and Xiaoyu Yu

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to…

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Abstract

Purpose

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms.

Design/methodology/approach

This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts.

Findings

Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery.

Research limitations/implications

This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners.

Originality/value

This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 3
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 10 January 2025

Jinhua Xu, Jiaye Zhang and Xiaoxia Li

New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital…

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Abstract

Purpose

New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital transformation, understanding their impact on NQPF is essential. This study explores whether digital M&As enhance NQPF in firms and identifies key mechanisms that drive this effect.

Design/methodology/approach

This study investigates the impact of corporate digital M&As on NQPF using a multi-period difference-in-difference (DID) methodology. Analyzing a sample of Chinese listed firms from 2011 to 2021, the study explores how digital M&As contribute to NQPF, identifying firm innovation and data assets as key mechanisms. It also examines how external factors, such as industrial structure, urban human capital and economic policy uncertainty, moderate the effect of digital M&As on NQPF.

Findings

The study reveals three key findings: (1) Digital M&As significantly enhance corporate NQPF; (2) innovation and data assets serve as key mechanisms through which digital M&As drive NQPF and (3) external factors, including industrial structure, urban human capital and economic policy uncertainty, amplify the positive effects of digital M&As on NQPF.

Practical implications

Firms should leverage digital M&As as a strategic tool for improving NQPF, focusing on innovation and data assets. Policymakers can support this transformation by fostering an environment that enhances the positive impact of digital M&As on economic development.

Originality/value

This paper introduces a novel NQPF index, offering a comprehensive measurement of the concept. It provides new insights into how digital M&As affect NQPF, filling a gap in the literature on digital transformation and offering actionable recommendations for firms and policymakers.

Details

China Finance Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1398

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Article
Publication date: 6 February 2025

Laijun Zhao, Xiaoxia Su, Lixin Zhou, Huiyong Li, Pingle Yang and Ying Qian

During the COVID-19 pandemic, an infodemic erupted on social media, leading to a surge in negative disclosure behaviors such as expressing dissatisfaction and releasing negative…

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Abstract

Purpose

During the COVID-19 pandemic, an infodemic erupted on social media, leading to a surge in negative disclosure behaviors such as expressing dissatisfaction and releasing negative emotions. By extending the elaboration likelihood model and the Big Five personality theory to the domain of online self-disclosure, we aimed to identify the factors that influence negative disclosure behavior.

Design/methodology/approach

We investigated how the features of negative information content, information sources and recipients’ social perceptions influence how social media users disclose negative information. We also examined the moderating roles of personality traits in this process. To validate the model and test our hypotheses, we collected cross-sectional data from 456 social media users.

Findings

Empirical results reveal that (1) information overload, topic relevance, attractiveness of information sources, peer approval of negative disclosure and social influence on negative information strengthen the intention to disclose negative information. (2) The perception of social risk weakens the intention to disclose negative information. (3) Openness to experience, extraversion and neuroticism strengthen the relationship between the intention to disclose negative information and actual disclosure behavior.

Originality/value

Our results not only provide new perspectives on the decision-making mechanisms behind negative disclosure behavior but also extend personality research within the context of the dissemination of negative information. Furthermore, it offers insights into negative information dissemination on social media platforms, with significant implications for various stakeholders.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 8 September 2023

Shan Jin, Xiaoxia Fu and Yanling Yan

Based on the resource-gain-development framework, this study aims to explore the mediating mechanism of work–family enrichment (WFE) and psychological distress, and the potential…

293

Abstract

Purpose

Based on the resource-gain-development framework, this study aims to explore the mediating mechanism of work–family enrichment (WFE) and psychological distress, and the potential positive effect of co-worker support, on employees’ work behaviour.

Design/methodology/approach

Data was obtained via a three-stage survey with 400 frontline employees from 13 distinct industries.

Findings

This study found that family-supportive leadership (FSL) has a positive impact on employees’ taking charge behaviour (TCB). WFE and psychological distress partially mediated the effect of FSL on TCB and WFE and psychological distress played a serial mediating role between FSL and TCB. Co-worker support positively moderated the relationship between FSL and WFE, TCB and psychological distress.

Research limitations/implications

Managers should consider the problems and difficulties that employees may encounter in completing their work tasks and performance and minimise the interference of non-work factors on employees’ work status. Organisations should also facilitate diversity training for managers to respond to employees’ work and life problems and display family support behaviour.

Originality/value

This study confirmed the role of FSL in WFE, psychological distress and TCB. The results can provide guidance for managers to motivate employees’ TCB.

Details

Chinese Management Studies, vol. 18 no. 3
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 8 February 2022

Sai Liang, Qiang Ye, Xiaoxia Zhang, Rob Law and Caiyan Gong

Online reviews have become increasingly important and numerous studies have noted the effect of social factors on the review provision of users. The purpose of this study is to…

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Abstract

Purpose

Online reviews have become increasingly important and numerous studies have noted the effect of social factors on the review provision of users. The purpose of this study is to investigate how hometowner contributions, which are defined as prior reviews posted by users from the same city, affect the quality of reviews by focal users.

Design/methodology/approach

Based on the theories of competitive altruism, pure altruism and reciprocity, as well as several social influence theories, a conceptual framework is constructed to explain user contribution behavior. In addition, empirical models are established based on 831,737 reviews of 919 hotels on Tripadvisor.

Findings

The quality of reviews by hometowners can significantly motivate subsequent users to contribute high-quality reviews. This positive effect is stronger than the effect of previous contributions by non-hometowners. The effect of hometowner contribution is amplified in users with limited review-posting experience and/or in those from countries with a considerable cultural distance from the target destination.

Research limitations/implications

This study provides the hospitality literature with new insights into the effect of social factors on the review provision of users in the context of online hotel review websites. The results also present numerous practical implications for online travel communities.

Originality/value

This study is an early attempt to analyze the effect of prior hometowner contributions on the subsequent contribution decisions of focal users. Thus, this study provides a satisfactory starting point for determining whether the review provision of focal users can be affected differently by prior contributions from their peers from different categories.

Details

International Journal of Contemporary Hospitality Management, vol. 34 no. 5
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 2 February 2024

Jinhua Xu, Feisan Ye and Xiaoxia Li

This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

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Abstract

Purpose

This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

Design/methodology/approach

This study takes the implementation of the CICP as a quasi-natural experiment and uses a quasi–difference-in-difference method to investigate the impact of the CICP on firm green innovation from a microeconomic perspective.

Findings

The CICP significantly limits the quality of firms’ green innovation. Among the range of green patents, the CICP distorts only patents related to CO2 emissions. The inhibitory effect is more pronounced in non-state-owned enterprises and heavily polluting firms. R&D investment and green investor are identified as the main mechanism.

Practical implications

These findings provide evidence for the influence of the CICP on firm green innovation, which can guide policymakers in China and other emerging economies that prioritize carbon intensity constraint targets and the improvement of relevant auxiliary measures.

Social implications

Governments and firms should have a comprehensive understanding of environmental policies and corporate behavior and need to mitigate the negative impact through a combination of measures.

Originality/value

This study contributes to the literature by providing additional empirical evidence regarding the two opposing sides of the ongoing debate on the positive or negative effects of CICP. It also provides new evidence on the policy effect of the CICP on firm green innovation, together with its mechanisms and heterogeneous influences.

Details

Sustainability Accounting, Management and Policy Journal, vol. 15 no. 3
Type: Research Article
ISSN: 2040-8021

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Article
Publication date: 17 January 2020

Yanfeng Chu and Zhongren Wang

There are a large number of interdependent risk factors in complex project. Risk response strategy without considering risk correlation cannot achieve good risk response…

272

Abstract

Purpose

There are a large number of interdependent risk factors in complex project. Risk response strategy without considering risk correlation cannot achieve good risk response. Therefore, the purpose of this paper is to propose a risk response strategy selection model considering risk correlation based on the grey K-shell algorithm.

Design/methodology/approach

This paper mainly focuses on the measurement of two aspects of risk factors. One is the ability of the risk factors to influence other risk factors, another is the degree affected by other risk factors. Both of the above are measured by the grey K-shell algorithm improved in this paper, and the weights of these are used for the constructing of risk response strategy selection model.

Findings

The risk response strategy considering risk relevance is more effective than the risk response strategy without considering risk relevance. Also, results indicate that as the risk response budget increases the risk response effect also increases, and the increasing trend is weakens. The relative gap between the effect of response strategies considering risk relevance and the strategy without considering risk relevance increases first and, then, decreases with the increase of budget.

Originality/value

The results of this paper demonstrate that the risk response strategy considering risk relevance is more effective than not considering risk relevance. The approach presented in this paper can guide project managers’ risk decisions and may also help to find the best risk response budget.

Details

Grey Systems: Theory and Application, vol. 10 no. 4
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 2 February 2021

Astha Sharma, Neeraj Bhanot, Ajay Gupta and Rajeev Trehan

This study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect…

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Abstract

Purpose

This study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect rates and increase production capacity in their manufacturing line. The study also proposes a modified framework based on lean principles and FlexSim to identify and reduce waste in the selected industry.

Design/methodology/approach

A Lean Six Sigma modified framework has been deployed with DMAIC to reduce the defect rate and increase the production rate. Various tools like value stream mapping, brainstorming, Pareto charts, 5S, kanban, etc. have been used at different phases of DMAIC targeting wastes and inventory in the production line. Also, a simulation model has been utilized for the automobile light manufacturing industry to improve the machine utilization time with varying batch sizes.

Findings

The results of the study indicated a 53% reduction in defect rates. Thus, there would be an expected improvement in sigma value from 3.78 to 3.89 and a reduction in defects per million opportunities (DPMO) from 11,244 to 8,493. Additionally, simulation model using FlexSim was developed, and the optimum ordering batch size of raw material was obtained. It was also analyzed that idle time for various stations could be reduced by up to 30%.

Practical implications

The utilized framework helps identify defects for managers to increase production efficiency. The workers, operators and supervisors on the production line also need to be trained regularly for identifying the areas of improvement.

Originality/value

The modified Lean Six Sigma framework used in this study includes FlexSim simulation to make the framework robust, which has not been used with LSS tools in the literature studied. Also, the LSS finds very less application in the manufacturing domain, considering which this study tends to add value in existing literature taking a case of an automobile light manufacturing industry.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 5
Type: Research Article
ISSN: 1741-0401

Keywords

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