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1 – 10 of 33Kong Zhou, Wen-jun Yin, Xiaofei Hu, Xi Ouyang, Chenglin Gui and Beijing Tan
This study examined the dynamical and positive effects of leader consultation on employee proactivity from a motivational perspective.
Abstract
Purpose
This study examined the dynamical and positive effects of leader consultation on employee proactivity from a motivational perspective.
Design/methodology/approach
Survey data were collected twice a day from 107 employees in a week by using an experience sampling method.
Findings
On a daily basis, leader consultation had a positive effect on employees’ state work engagement, which in turn promoted employees’ proactivity. Moreover, authoritarian leadership weakened the positive relationship between leader consultation and employees’ state work engagement.
Originality/value
The findings provided a new perspective regarding the potential dynamic motivational effect of leader consultation on employees and generated interesting implications for paradoxical leadership theory.
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Fei Ye, Min Ke, You Ouyang, Yina Li, Lixu Li, Yuanzhu Zhan and Minhao Zhang
While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain…
Abstract
Purpose
While the usage of digital technology can bring many operational improvements for firms, it is unclear whether it can effectively improve firm resilience to deal with supply chain disruptions caused by emergencies such as COVID-19. From a dynamic capability perspective, this study aims to investigate how digital technology usage can improve firm resilience in a rapidly changing and turbulent environment.
Design/methodology/approach
Based on the survey sample of 237 Chinese firms, the stepwise regression approach was used to examine the proposed research hypotheses.
Findings
The empirical evidence shows that digital technology usage has a U-shaped effect on firm resilience, and that effect is fully achieved by first affecting market acuity and then promoting resource reconfiguration. Moreover, the authors further found that the U-shaped association between digital technology usage and firm resilience is derived from the U-shaped association between digital technology usage and market acuity.
Originality/value
This study enriches the resilience literature by revealing the mechanism of digital technology usage’s effects rather than focusing on the role of specific digital technologies. This study also provides guidance for firms to develop effective digital technology usage strategies.
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Haizhen Wang and Ruoyong Zhang
Abusive supervision provokes subordinates’ interpersonal deviant behavior. It is, therefore, essential to explore the contingent factors of this relationship. Drawing upon gender…
Abstract
Purpose
Abusive supervision provokes subordinates’ interpersonal deviant behavior. It is, therefore, essential to explore the contingent factors of this relationship. Drawing upon gender role theory, this study aims to explore how subordinate and leader genders moderate the relationship between abusive supervision and subordinate interpersonal deviance. Furthermore, this study posits a three-way interaction effect of abusive supervision with leader and subordinate genders on interpersonal deviance.
Design/methodology/approach
Multisource survey data were collected from 45 supervisors and 170 subordinates in eight companies in China. The data were analyzed using the PROCESS macro in SPSS.
Findings
The results showed that the positive relationship between abusive supervision and interpersonal deviance was stronger among female leaders than male leaders. Furthermore, the authors found a three-way interaction effect between abusive supervision and leader and subordinate genders on subordinates’ interpersonal deviance. Compared with female subordinates, male subordinates engaged in significantly more interpersonal deviance when experiencing abusive supervision from a female leader than from a male leader.
Originality/value
The authors reveal that gender differences exist in the effect of abusive supervision on subordinates’ interpersonal deviant behavior. Furthermore, the authors demonstrate that subordinate and leader genders jointly influence the effect of abusive supervision. Finally, the findings extend the literature on gender’s moderating effects from constructive and neutral leader behaviors to destructive leader behaviors.
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Hongjing Dong, Xi Chen, Guangying Yang, Dandan He, Ying Dai and Pengfei He
The purpose of this paper is to obtain a constitutive model of cement-based material in the rheological stage, which owns the different water-cement ratio (w/c) and temperature…
Abstract
Purpose
The purpose of this paper is to obtain a constitutive model of cement-based material in the rheological stage, which owns the different water-cement ratio (w/c) and temperature and have a significant impact on the workability of concrete materials.
Design/methodology/approach
It is introduced a modified Arrhenius equation into the Herschel–Bulkley model, which is widely applied in rheological analysis and constructed an ordinary differential equation (ODE) of w/c from the Navier–Stokes equation. By solving the ODE, an approximate constitutive relation of cement-based materials included w/c and temperature is derived. Compared with the experimental results, the present model is validated.
Findings
The shear stress and shear rate curves with different w/c and temperature are simulated by the present method, and the present model can be applied to analyze the changes of apparent viscosity in cement-based material slurry as the w/c and temperature varying.
Originality/value
This work gives a mathematical model, which can effectively approximate the shear stress–shear rate relation with different w/c and temperature in the rheological stage of cement-based material.
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Debolina Saha and Somaiya Begum
Climate change is a bitter truth for the entire humanity, and it vehemently calls for thoughtful means for environmental protection along with sustainable economic growth…
Abstract
Climate change is a bitter truth for the entire humanity, and it vehemently calls for thoughtful means for environmental protection along with sustainable economic growth. International trade blocs fundamentally represent amalgamation of countries to achieve unified goals like higher living standards, reduced trade barriers, freer labour mobility across member states, social and cultural upliftment, political allegiance to regional association, etc. Throughout the 1990s, these trade blocs have committed to reducing environmental pressures and shifting towards cleaner forms of energy. This chapter examines the relationship between rate of change in carbon dioxide (CO2) emissions per capita and rate of change in per capita gross domestic product (GDP) in linear, quadratic and cubic polynomial forms with the other control variables like inflow of foreign direct investment (FDI), export of goods and services, population density, urban population percentage and location dummies for the 66 countries falling in seven regional trade blocs. Other than the European Union and North American Free Trade Agreement (NAFTA), the remaining five trade blocs in the study – Association of South-East Nations (ASEAN), South Asian Association for Regional Cooperation (SAARC), Common Market for Eastern and South Africa (COMESA), Mercado Común del Sur (MERCOSUR) and Commonwealth of Independent States (CIS) – contain mostly the developing and some of the fastest growing economies of the world. The panel regression result finds an inverse relationship between rate of change in per capita CO2 emissions and rate of change in GDP per capita (in linear and cubic polynomial forms), exports and population density, while the other coefficients of the explanatory variables are positive. The study also establishes an Environmental Kuznets Curve (EKC) which is opposite to N-shape during 2005–2019, and that contradicts with the original EKC of inverted U-shaped. However, this shape admits the collective efforts of region-specific trade blocs towards achieving clean environment which is one of the important global goals.
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Khameel B. Mustapha, Eng Hwa Yap and Yousif Abdalla Abakr
Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various…
Abstract
Purpose
Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.
Design/methodology/approach
As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.
Findings
The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).
Originality/value
To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.
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Xuanfang Hou, Yanshan Zhou, Xinxin Lu and Qiao Yuan
This study aims to examine the effect of supervisor developmental feedback on employee silence behaviour by developing a moderated mediation model. The model focuses on the…
Abstract
Purpose
This study aims to examine the effect of supervisor developmental feedback on employee silence behaviour by developing a moderated mediation model. The model focuses on the mediating role of role breadth self-efficacy and high activated positive affect underpinning the relationship between supervisor developmental feedback and employee silence behaviour, and the moderating role of interdependent self-construal.
Design/methodology/approach
The two-wave survey was conducted among 265 employees. Structural equation modelling was conducted to test the mediation and moderation mediation hypotheses.
Findings
Results indicated that high activated positive affect mediated the negative relationship between supervisor developmental feedback and employee silence behaviour. The authors also found that interdependent self-construal moderated the relationship between supervisor developmental feedback and role breadth self-efficacy, as well as the indirect effect of supervisor developmental feedback on employee silence behaviour via role breadth self-efficacy.
Originality/value
This empirical study provides preliminary evidence of the mediating role of breadth self-efficacy and high activated positive affect in the negative relationship between supervisor developmental feedback and employee silence behaviour. The moderated mediation results further show that the mediation of role breadth self-efficacy between supervisor developmental feedback is contingent on individual interdependent self-construal, such that the mediation effect is significant among individuals with high interdependent self-construal, but the mediation effect of high activated positive effect is independent of individual interdependent self-construal. The findings further extend boundary conditions (interdependent self-construal) that may constrain the effect of supervisor developmental feedback on role breadth self-efficacy and high activated positive affect. The research makes considerable contributions to the cognitive-affective personality system theory by specifying the cognitive and affective mechanisms between supervisor developmental feedback and employee silence behaviour, as well as the boundary conditions.
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Yan Han, Yanqi Sun, Kevin Huang and Cheng Xu
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the…
Abstract
Purpose
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period.
Design/methodology/approach
Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model.
Findings
The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs).
Originality/value
This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.
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Drawing on prior research on strengths use and job performance, this study aims to investigate how employees’ strengths use for tasks and strengths use for relationships jointly…
Abstract
Purpose
Drawing on prior research on strengths use and job performance, this study aims to investigate how employees’ strengths use for tasks and strengths use for relationships jointly influence role breadth self-efficacy and subsequent job performance, specifically in- and extra-role performances.
Design/methodology/approach
To test the assumptions, the authors methodologically performed a polynomial regression with response surface analysis using data collected from multiple time points and sources (i.e. 312 employee–supervisor dyads in Chinese companies).
Findings
The results showed that the higher the congruence between strengths use for tasks and strengths use for relationships, the higher the employees’ role breadth self-efficacy. Employees’ role breadth self-efficacy was greater when both strengths use for tasks and strengths use for relationships were high. Furthermore, the congruence between strengths use for tasks and strengths use for relationships had indirect effects on in- and extra-role performances via role breadth self-efficacy.
Originality/value
This study uniquely contributes to the strengths use literature by offering a more nuanced understanding of the consequences of strengths use for tasks and strengths use for relationships in the Chinese context. It highlights the importance of both types of strengths use for improving employee performance in Chinese organizations. Furthermore, this study provides new theoretical insights into the relationship between strengths use and job performance by ascertaining the mediating effect of role breadth self-efficacy.
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Yankun Tang, Ming Zhang, Kedong Chen, Sher Ali Nawaz, Hairong Wang, Jiuhong Wang and Xianqing Tian
Detecting O2 gas in a confined space at room temperature is particularly important to monitor the work process of precision equipment. This study aims to propose a miniaturized…
Abstract
Purpose
Detecting O2 gas in a confined space at room temperature is particularly important to monitor the work process of precision equipment. This study aims to propose a miniaturized, low-cost, mass-scale produced O2 sensor operating around 30°C.
Design/methodology/approach
The O2 sensor based on lanthanum fluoride (LaF3) solid electrolyte thin film was developed using MEMS technology. The principle of the sensor was a galvanic cell H2O, O2, Pt | LaF3 | Sn, SnF2 |, in which the Sn film was prepared by magnetron sputtering, and the LaF3 film was prepared by thermal resistance evaporation.
Findings
Through pretreatments, the sensor’s response signal to 40% oxygen concentration was enhanced from 1.9 mV to 46.0 mV at 30°C and 97.0% RH. Tests at temperatures from 30°C to 50°C and humidity from 32.4% RH to 97.0% RH indicated that the output electromotive force (EMF) has a linear relationship with the logarithm of the oxygen concentration. The sensitivity of the sensor increases with an increase in both humidity and temperature in the couple mode, and the EMF of the sensor follows well with the Nernst equation at different temperatures and humidity.
Practical implications
This research could be applied to monitor the oxygen concentration below 25% in confined spaces at room temperature safely without a power supply.
Originality/value
The relationship between temperature and humidity coupling and the response of the sensor was obtained. The nano-film material was integrated with the MEMS process. It is expected to be practically applied in the future.
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