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Article
Publication date: 16 July 2019

Zhou Jiang, Yiqi Jiang and Ingrid Nielsen

Workplace thriving is a psychological state that promotes employee health and development. In addition to presenting a useful instrument that captures the nature of a…

Abstract

Purpose

Workplace thriving is a psychological state that promotes employee health and development. In addition to presenting a useful instrument that captures the nature of a thriving work life in China, the purpose of this paper is to investigate important factors that influence one’s thriving status within this national context.

Design/methodology/approach

Using diverse approaches across different samples, Study 1 contextualized the content of a workplace thriving scale (WTS) to fit the Chinese context. Study 2 tested the effects of learning goal orientation, exploration at work and role ambiguity on workplace thriving, employing a mediation model. As a supplement, Study 3 examined the test–retest reliability of workplace thriving.

Findings

Study 1 confirmed that in the Chinese setting, workplace thriving is a higher order construct represented by both a sense of learning and a sense of vitality. Study 2 found that learning goal orientation and exploration at work fostered thriving, while role ambiguity reduced thriving. Also, exploration mediated the relationship between learning goal orientation and thriving. Study 3 verified that the WTS was reliable over time in the Chinese setting, further increasing the reliability of results from Studies 1 and 2.

Originality/value

By rigorously and formally contextualizing the concept/construct of workplace thriving in China, this paper is informative for future research on thriving at work in Eastern cultures.

Details

International Journal of Manpower, vol. 40 no. 5
Type: Research Article
ISSN: 0143-7720

Keywords

Article
Publication date: 25 May 2018

Huong Le, Zhou Jiang, Yuka Fujimoto and Ingrid Nielsen

The purpose of this paper is to examine the mediating roles of procedural justice and distributive justice in the organizational inclusion-affective well-being relationship.

Abstract

Purpose

The purpose of this paper is to examine the mediating roles of procedural justice and distributive justice in the organizational inclusion-affective well-being relationship.

Design/methodology/approach

Data were collected from 253 Australian employees using an online survey. The study used confirmatory factor analysis and structural equation modeling to analyze the data.

Findings

Organizational inclusion was positively related to both distributive justice and procedural justice. The relationship between organizational inclusion and affective well-being was mediated by both distributive justice and procedural justice.

Research limitations/implications

The cross-sectional design may have limited the empirical inferences; however, the proposed model was based on robust theoretical contentions, thus mitigating the limitation of the design. Data were collected from a single organization, thus limiting generalizability.

Practical implications

Implementation of inclusion training activities at organizational, group, and individual levels is important to enhance perceptions of organizational inclusion and subsequently improve employee affective well-being.

Originality/value

Based on the group engagement model and group-value model of justice, this paper adds to the literature by demonstrating two mediating mechanisms driving the organizational inclusion-affective well-being relationship.

Details

Personnel Review, vol. 47 no. 4
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 13 August 2020

Huong Le, Zhou Jiang and Katrina Radford

This study examines employees' metacognitive cultural intelligence as a moderator in the relationship between leader-member exchange (LMX) and employees' subjective well-being.

Abstract

Purpose

This study examines employees' metacognitive cultural intelligence as a moderator in the relationship between leader-member exchange (LMX) and employees' subjective well-being.

Design/methodology/approach

We tested the conceptual model using regression analysis from a sample of 462 migrant workers in Australia.

Findings

The results demonstrated that employees' metacognitive cultural intelligence moderated the relationship between LMX and employees' subjective well-being in such a way that the effect was stronger among those employees with lower levels of metacognitive cultural intelligence.

Research limitations/implications

The cross-sectional design, with self-reporting at one point in time, could affect a causal relationship among variables, although each relationship was built on strong theoretical perspectives. However, prior research emphasizes that a single source is not considered to be an issue when interactions are examined.

Practical implications

One way to improve metacognitive cultural intelligence for global leadership effectiveness could be through the introduction of diversity and cross-cultural training, such as didactic programs provided either in-house or by external institutions.

Originality/value

Drawing on Conservation of Resources theory, this paper contributes to the literature by demonstrating that employees' metacognitive cultural intelligence is a boundary condition that alters the strengths of the LMX–subjective well-being relationship.

Details

Personnel Review, vol. 50 no. 3
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 16 April 2018

Qi Zhou, Xinyu Shao, Ping Jiang, Tingli Xie, Jiexiang Hu, Leshi Shu, Longchao Cao and Zhongmei Gao

Engineering system design and optimization problems are usually multi-objective and constrained and have uncertainties in the inputs. These uncertainties might…

Abstract

Purpose

Engineering system design and optimization problems are usually multi-objective and constrained and have uncertainties in the inputs. These uncertainties might significantly degrade the overall performance of engineering systems and change the feasibility of the obtained solutions. This paper aims to propose a multi-objective robust optimization approach based on Kriging metamodel (K-MORO) to obtain the robust Pareto set under the interval uncertainty.

Design/methodology/approach

In K-MORO, the nested optimization structure is reduced into a single loop optimization structure to ease the computational burden. Considering the interpolation uncertainty from the Kriging metamodel may affect the robustness of the Pareto optima, an objective switching and sequential updating strategy is introduced in K-MORO to determine (1) whether the robust analysis or the Kriging metamodel should be used to evaluate the robustness of design alternatives, and (2) which design alternatives are selected to improve the prediction accuracy of the Kriging metamodel during the robust optimization process.

Findings

Five numerical and engineering cases are used to demonstrate the applicability of the proposed approach. The results illustrate that K-MORO is able to obtain robust Pareto frontier, while significantly reducing computational cost.

Practical implications

The proposed approach exhibits great capability for practical engineering design optimization problems that are multi-objective and constrained and have uncertainties.

Originality/value

A K-MORO approach is proposed, which can obtain the robust Pareto set under the interval uncertainty and ease the computational burden of the robust optimization process.

Details

Engineering Computations, vol. 35 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 10 February 2022

Meng-Long Huo, Zhou Jiang, Zhiming Cheng and Adrian Wilkinson

Grounded in the job demands–resources (JD-R) theory, this study investigates how the difficulty in social distancing at work, resulting from the COVID-19 crisis, may lead…

Abstract

Purpose

Grounded in the job demands–resources (JD-R) theory, this study investigates how the difficulty in social distancing at work, resulting from the COVID-19 crisis, may lead to intention to quit and career regret and how and when these effects may be attenuated.

Design/methodology/approach

Three-wave survey data were collected from 223 frontline service workers in a large restaurant company during the COVID-19 crisis.

Findings

The results show that difficulty in social distancing reduced employees' work engagement, and consequently, increased their turnover intention and career regret. These relationships were moderated by external employability, such that the influence of difficulty in social distancing weakened as external employability increased.

Originality/value

Social distancing measures have been applied across the globe to minimize transmission of COVID-19. However, such measures create a new job demand for service workers who find it difficult to practice social distancing due to the high contact intensity of service delivery. This study identified personal resources that help service workers cope with the demand triggered by COVID-19.

Details

Journal of Service Theory and Practice, vol. 32 no. 2
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 4 February 2022

Lin Yang, Jiaming Lou, Junuo Zhou, Xianbo Zhao and Zhou Jiang

With multiple-related organizations, worldwide infections, deep economic recession and public disorder, and large consumption amount of anti-epidemic resources, the…

Abstract

Purpose

With multiple-related organizations, worldwide infections, deep economic recession and public disorder, and large consumption amount of anti-epidemic resources, the coronavirus disease 2019 (COVID-19) has been defined as a public health emergency of international concern (PHEIC). Nowadays, Wuhan has recovered from the pandemic disaster and reentered normalization. The purposes of this study are to (1) summarize organization collaboration patterns, successful experience and latent defects under across-stage evolution of Wuhan's cooperation governance mode against the pandemic, and on the basis, (2) reveal how the COVID-19 development trends and organizations' collaborative behaviors affected each other.

Design/methodology/approach

Detailed content analysis of online news reports covering COVID-19 prevention and control measures on the website of Wuhan Municipal Government was adopted to identify organizations and their mutual collaborative interrelationships. Four complex network (CN) models of organization collaboration representing the outbreak, preliminary control, recession and normalization stages, respectively, were established then. Time-span-based dynamic parameter analyses of the proposed networks, comprising network cohesiveness analysis and node centrality analysis, were undertaken to indicate changes of global and local characteristics in networks.

Findings

First, the definite collaborative status of Wuhan Headquarters for Pandemic Prevention and Control (WHPPC) has persisted throughout the period. Medical institutions and some other administrations were the most crucial participants collaborating with the WHPPC. Construction-industry organizations altered pandemic development trends twice to make the situation controllable. Media, large-scale enterprises, etc. set about underscoring themselves contributions since the third stage. Grassroots cadres and healthcare force, small and medium-sized enterprises (SMEs), financial institutions, etc. were essential collaborated objects. Second, four evolution mechanisms of organization collaboration responding to the COVID-19 in Wuhan has been proposed.

Research limitations/implications

First, universality of Wuhan-style governance experience may be affected. Second, the stage-dividing process may not be the most appropriate. Then, data source was single and link characteristics were not considered when modeling.

Practical implications

This study may offer beneficial action guidelines to governmental agencies, the society force, media, construction-industry organizations and the market in other countries or regions suffering from COVID-19. Other organizations involved could also learn from the concluded organizations' contributions and four evolution mechanisms to find improvement directions.

Originality/value

This study adds to the current theoretical knowledge body by verifying the feasibility and effectiveness of investigating cooperation governance in public emergencies from the perspectives of analyzing the across-stage organization collaboration CNs.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 11 March 2022

Zhou Jiang and Yuanmei (Elly) Qu

This study investigates why and when leader favorable feedback inhibits employees’ withdrawal behaviors. The authors propose that leader favorable feedback reduces…

Abstract

Purpose

This study investigates why and when leader favorable feedback inhibits employees’ withdrawal behaviors. The authors propose that leader favorable feedback reduces employees’ withdrawal behaviors via employees’ gratitude toward the leader. The authors further posit that this mediation is contingent on leader-member exchange, arguing that as the quality of leader-member exchange increases, employees are more likely to feel grateful and are less likely to withdraw from work.

Design/methodology/approach

Two-wave, multisource field data collected from 662 employees were used to test our hypotheses.

Findings

Employees’ feelings of gratitude mediated the negative relationship between leader favorable feedback and employees’ withdrawal behavior. The negative effect of gratitude on withdrawal behavior was stronger under higher levels of leader-member exchange, as was the indirect effect of leader favorable feedback on withdrawal behavior via employees’ gratitude.

Originality/value

These results contribute to a social exchange-based understanding of gratitude as an emotional mechanism underlying the feedback and withdrawal relationship and provide important practical implications for managers.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 11 February 2021

Yongxing Guo, Min Chen, Li Xiong, Xinglin Zhou and Cong Li

The purpose of this study is to present the state of the art for fiber Bragg grating (FBG) acceleration sensing technologies from two aspects: the principle of the…

Abstract

Purpose

The purpose of this study is to present the state of the art for fiber Bragg grating (FBG) acceleration sensing technologies from two aspects: the principle of the measurement dimension and the principle of the sensing configuration. Some commercial sensors have also been introduced and future work in this field has also been discussed. This paper could provide an important reference for the research community.

Design/methodology/approach

This review is to present the state of the art for FBG acceleration sensing technologies from two aspects: the principle of the measurement dimension (one-dimension and multi-dimension) and the principle of the sensing configuration (beam type, radial vibration type, axial vibration type and other composite structures).

Findings

The current research on developing FBG acceleration sensors is mainly focused on the sensing method, the construction and design of the elastic structure and the design of a new information detection method. This paper hypothesizes that in the future, the following research trends will be strengthened: common single-mode fiber grating of the low cost and high utilization rate; high sensitivity and strength special fiber grating; multi-core fiber grating for measuring single-parameter multi-dimensional information or multi-parameter information; demodulating equipment of low cost, small volume and high sampling frequency.

Originality/value

The principle of the measurement dimension and principle of the sensing configuration for FBG acceleration sensors have been introduced, which could provide an important reference for the research community.

Details

Sensor Review, vol. 41 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 6 November 2017

Leshi Shu, Ping Jiang, Li Wan, Qi Zhou, Xinyu Shao and Yahui Zhang

Metamodels are widely used to replace simulation models in engineering design optimization to reduce the computational cost. The purpose of this paper is to develop a…

Abstract

Purpose

Metamodels are widely used to replace simulation models in engineering design optimization to reduce the computational cost. The purpose of this paper is to develop a novel sequential sampling strategy (weighted accumulative error sampling, WAES) to obtain accurate metamodels and apply it to improve the quality of global optimization.

Design/methodology/approach

A sequential single objective formulation is constructed to adaptively select new sample points. In this formulation, the optimization objective is to select a sample point with the maximum weighted accumulative predicted error obtained by analyzing data from previous iterations, and a space-filling criterion is introduced and treated as a constraint to avoid generating clustered sample points. Based on the proposed sequential sampling strategy, a two-step global optimization approach is developed.

Findings

The proposed WAES approach and the global optimization approach are tested in several cases. A comparison has been made between the proposed approach and other existing approaches. Results illustrate that WAES approach performs the best in improving metamodel accuracy and the two-step global optimization approach has a great ability to avoid local optimum.

Originality/value

The proposed WAES approach overcomes the shortcomings of some existing approaches. Besides, the two-step global optimization approach can be used for improving the optimization results.

Details

Engineering Computations, vol. 34 no. 8
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 4 May 2021

Angelina Zubac, Marie Dasborough, Kate Hughes, Zhou Jiang, Shelley Kirkpatrick, Maris G. Martinsons, Danielle Tucker and Ofer Zwikael

The aim of this special issue is to better understand the strategy and change interface, in particular, the (sub)processes and cognitions that enable strategies to be…

Abstract

The aim of this special issue is to better understand the strategy and change interface, in particular, the (sub)processes and cognitions that enable strategies to be successfully implemented and organizations effectively changed. The ten papers selected for this special issue reflect a range of scholarly traditions and, thus, as our review and integration of the relevant literatures, and our introductions to the ten papers demonstrate, they shed light on the strategy and change interface in starkly different ways. Collectively, the papers give us more insight into the recursive activities, and structural, organizational learning and cognitive mechanisms that are encouraged or deliberately established at organizations to allow their people to successfully implement a strategy and effect change, including achieve greater levels of horizontal alignment. Moreover, they demonstrate the benefits associated with establishing platforms and/or routines designed to overcome decision-makers’ cognitive shortcomings while implementing a strategy or making timely adjustments to it. We conclude our editorial by identifying some yet unanswered questions.

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