Jia Ding, Ming Ying and Guangzhi Chu
It is believed that the effectiveness of public service announcements (PSAs) in persuading recipients to engage in the advocated behavior may be influenced by the content of PSAs…
Abstract
Purpose
It is believed that the effectiveness of public service announcements (PSAs) in persuading recipients to engage in the advocated behavior may be influenced by the content of PSAs, the recipient and the context in which the recipient is exposed to the PSA. The purpose of this study is to illustrate the persuasive process of PSAs with respect to these three aspects. Specifically, how the normative appeals used in PSA, affective priming and self-construals of recipients influence the recipients' behavioral intention is investigated.
Design/methodology/approach
Between-subject experiments were conducted to collect data. The proposed hypotheses were verified by analysis of variance (ANOVA) and Process macro.
Findings
Results show that participants with sad emotional experiences exhibit significantly higher behavioral intention after exposure to PSA compared to those with joy primed. However, the difference in behavioral intention between participants with guilt and neutral emotional experiences was insignificant. Concerning normative appeals, descriptive norms are more persuasive than injunctive norms. In addition, participants' self-construals moderate the relationship between normative appeals and behavioral intention.
Research limitations/implications
First, this study selected a group of college students as participants and used “Empty Your Plate” campaign as stimulus. Future research should test this mechanism with different samples. Second, this study only tested the effect of print advertising. Future research may examine whether these findings still work with advertisement in different formats. Moreover, future research should investigate the impact of priming guilt that is related to the PSA themes on PSAs' persuasive outcomes. Finally, this study only explored the moderating role of self-construals. Other personal traits were not investigated in current study need to be further explored.
Practical implications
The findings of this study provide a more comprehensive understanding of the factors that influence the effectiveness of PSA and have practical implications for PSA practitioners. Firstly, descriptive norms can be used more frequently to improve the effectiveness of PSAs. Secondly, negative emotion exerts a positive influence on persuasive outcomes, so PSA practitioners can arrange media planning more rationally. Furthermore, they can adapt their normative appeals to the self-construal characteristics of their primary audiences to achieve their communication goals more effectively. This study reveals the effectiveness mechanism of PSA in the Chinese context, and thus meets practical needs.
Social implications
This research will help improve the effectiveness of PSAs to protect the public interest and alleviate social problems by optimizing media planning strategies and increasing the willingness of viewers to change their behavior.
Originality/value
This study enriches theory in PSAs about persuading individuals to engage in prosocial behaviors and provides evidence from China that is rarely seen. In addition, this study contributes to optimizing PSA practice by restoring the actual PSA delivery context in the experimental situation.
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Yixing Ding, Yanmin Jia, Jiangyue Li, Huiming Li and Xiaobo Zhang
The purpose of this study is to investigate the effects of stud height, stud diameter, ultimate stress of stud and concrete strength on the static behaviour of studs in push-off…
Abstract
Purpose
The purpose of this study is to investigate the effects of stud height, stud diameter, ultimate stress of stud and concrete strength on the static behaviour of studs in push-off tests based on the ductile fracture theory.
Design/methodology/approach
Push-off tests of headed stud shear connectors with different heights and diameters used in concrete of various strengths were designed and implemented. A finite element model was established based on a ductile fracture criterion of ML15 cold-heading steel with stress triaxiality and Lode angle parameter. Based on the results of the parametric study of the numerical model, equations were proposed to evaluate the effect of stud height hs, stud area As, concrete strength fc and stud ultimate strength fsu used in concrete of various strengths on the static behaviour of studs.
Findings
The typical failure phenomenon observed among the test specimens was the fracture of the shank of studs. The microscopic images of the stud fracture surfaces and the verified finite element model indicate that the studs were fractured as a result of the combined action of tension and shear.
Originality/value
A new method for calculating ultimate load Pu and ultimate slip Su is proposed in this paper. In the method, Pu is linearly related to fsu0.2143, As0.7790, hs0.0974, fc0.2065. Su is linearly related to fsu1.078, As0.4681, hs(−0.3135), fc(−0.3480).
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Rolling element bearings (REBs) are commonly used in rotating machinery such as pumps, motors, fans and other machineries. The REBs deteriorate over life cycle time. To know the…
Abstract
Purpose
Rolling element bearings (REBs) are commonly used in rotating machinery such as pumps, motors, fans and other machineries. The REBs deteriorate over life cycle time. To know the amount of deteriorate at any time, this paper aims to present a prognostics approach based on integrating optimize health indicator (OHI) and machine learning algorithm.
Design/methodology/approach
Proposed optimum prediction model would be used to evaluate the remaining useful life (RUL) of REBs. Initially, signal raw data are preprocessing through mother wavelet transform; after that, the primary fault features are extracted. Further, these features process to elevate the clarity of features using the random forest algorithm. Based on variable importance of features, the best representation of fault features is selected. Optimize the selected feature by adjusting weight vector using optimization techniques such as genetic algorithm (GA), sequential quadratic optimization (SQO) and multiobjective optimization (MOO). New OHIs are determined and apply to train the network. Finally, optimum predictive models are developed by integrating OHI and artificial neural network (ANN), K-mean clustering (KMC) (i.e. OHI–GA–ANN, OHI–SQO–ANN, OHI–MOO–ANN, OHI–GA–KMC, OHI–SQO–KMC and OHI–MOO–KMC).
Findings
Optimum prediction models performance are recorded and compared with the actual value. Finally, based on error term values best optimum prediction model is proposed for evaluation of RUL of REBs.
Originality/value
Proposed OHI–GA–KMC model is compared in terms of error values with previously published work. RUL predicted by OHI–GA–KMC model is smaller, giving the advantage of this method.
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Ding Wang, Jianyao Jia, Shan Jiang, Tianyi Liu and Guofeng Ma
Despite the documented benefits of voice behavior for projects, little is known about antecedents of voice behavior in the project context, especially construction projects…
Abstract
Purpose
Despite the documented benefits of voice behavior for projects, little is known about antecedents of voice behavior in the project context, especially construction projects. Against this background, adopting a multi-team system perspective, this study attempts to investigate antecedents of team voice behavior from a contextual view.
Design/methodology/approach
This study identifies and examines six factors that influence team voice behavior. Specifically, project urgency, project temporality, and project complexity are identified from the project nature perspective. Satisfaction, trust, and commitment are generated from the relationship quality approach. Then, data from completed construction projects in China was collected to verify the effectiveness of these factors. Besides, the partial least squares structural equation modeling (PLS-SEM) technique was used in this study.
Findings
All six factors are found to be significant predictors of promotive team voice behavior. For prohibitive team voice behavior, only project complexity and project commitment make significant effects. Further, the differential effects of these factors on two types of voice behavior are revealed.
Originality/value
This study contributes to the literature on voice behavior in the project context, especially construction projects consisting of multiple teams. Also, this research enriches our knowledge on antecedents of team voice behavior in construction projects and thus affords practical implications to foster voice behavior.
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Jianyao Jia, Ming Wu and Bon-Gang Hwang
Although previous research has recognized the pivotal role of mobile social media in knowledge sharing among project members, little is known about what factors affect knowledge…
Abstract
Purpose
Although previous research has recognized the pivotal role of mobile social media in knowledge sharing among project members, little is known about what factors affect knowledge sharing in mobile social media groups (MSMGs). Against this background, using normative social influence theory, this study attempts to explore factors influencing knowledge sharing in MSMGs.
Design/methodology/approach
Data from 205 Chinese construction project members are collected and used for analysis. Ordinary least squares regression by Stata 16 is used to test the proposed hypotheses.
Findings
Concerning role norms, gender difference in knowledge sharing behavior (KSB) is found, while it is not the case for knowledge quality (KQ). Work experience is found to positively affect KQ, but shows no influence on KSB. As for group norms, the inverted-U relationship between number of members and KSB is partially supported. In addition, organizational norms generally exhibit the greatest influence on both KSB and KQ among the three forms of norms.
Originality/value
This study deepens the understanding of knowledge sharing factors in mobile social media environments and affords practical implications for how to make full use of social media for knowledge management within construction project teams.
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Qiang Zhang, Zijian Ye, Siyu Shao, Tianlin Niu and Yuwei Zhao
The current studies on remaining useful life (RUL) prediction mainly rely on convolutional neural networks (CNNs) and long short-term memories (LSTMs) and do not take full…
Abstract
Purpose
The current studies on remaining useful life (RUL) prediction mainly rely on convolutional neural networks (CNNs) and long short-term memories (LSTMs) and do not take full advantage of the attention mechanism, resulting in lack of prediction accuracy. To further improve the performance of the above models, this study aims to propose a novel end-to-end RUL prediction framework, called convolutional recurrent attention network (CRAN) to achieve high accuracy.
Design/methodology/approach
The proposed CRAN is a CNN-LSTM-based model that effectively combines the powerful feature extraction ability of CNN and sequential processing capability of LSTM. The channel attention mechanism, spatial attention mechanism and LSTM attention mechanism are incorporated in CRAN, assigning different attention coefficients to CNN and LSTM. First, features of the bearing vibration data are extracted from both time and frequency domain. Next, the training and testing set are constructed. Then, the CRAN is trained offline using the training set. Finally, online RUL estimation is performed by applying data from the testing set to the trained CRAN.
Findings
CNN-LSTM-based models have higher RUL prediction accuracy than CNN-based and LSTM-based models. Using a combination of max pooling and average pooling can reduce the loss of feature information, and in addition, the structure of the serial attention mechanism is superior to the parallel attention structure. Comparing the proposed CRAN with six different state-of-the-art methods, for the predicted results of two testing bearings, the proposed CRAN has an average reduction in the root mean square error of 57.07/80.25%, an average reduction in the mean absolute error of 62.27/85.87% and an average improvement in score of 12.65/6.57%.
Originality/value
This article provides a novel end-to-end rolling bearing RUL prediction framework, which can provide a reference for the formulation of bearing maintenance programs in the industry.
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Xueqing Gan, Jianyao Jia, Yun Le and Yi Hu
Infrastructure projects are pivotal for regional economic development, but also face low project effectiveness. Leadership is always regarded as a key enabler for project team…
Abstract
Purpose
Infrastructure projects are pivotal for regional economic development, but also face low project effectiveness. Leadership is always regarded as a key enabler for project team effectiveness, including vertical leadership and team-level leadership. The purpose of this paper is to examine how vertical leadership facilitates shared leadership in infrastructure project teams.
Design/methodology/approach
This paper develops the conceptual model based on the literature review. Then the questionnaire survey was conducted. The empirical data obtained from 117 infrastructure project teams in China were analyzed by partial least squares structural equation modeling (PLS-SEM) for validating the proposed model. Finally, the results were comparatively discussed to explain the dual-pathway between vertical leadership and shared leadership. And the practical implications were presented for the project managers in infrastructure project teams.
Findings
Drawing on social learning theory and social cognitive theory, the results show that both participative leadership and task-oriented leadership can facilitate shared leadership. Further, team atmosphere fully mediates the link between participative leadership and shared leadership. Team efficacy fully mediates the relation between task-oriented leadership and shared leadership. Also, role clarity has a negative moderating effect on the former path.
Originality/value
The study extends the knowledge of leadership theory in the construction field. Based on the proposed conceptual model and PLS-SEM results, this study unveils the black box between vertical leadership and shared leadership and contributes to the theory of leadership on how the impact of different vertical leadership on team process promotes shared leadership.
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Adriana Panting, Andrew G. Heise, Ma. Regina M. Hechanova and Lynn C. Waelde
This chapter summarizes the literature on mindfulness and its impact of postdisaster response. Although the use of mindfulness is still in its infancy in Southeast Asia (SEA)…
Abstract
This chapter summarizes the literature on mindfulness and its impact of postdisaster response. Although the use of mindfulness is still in its infancy in Southeast Asia (SEA), initial studies suggest it has potential as a means to address survivors’ posttrauma symptoms. Given cultural nuances such as a discomfort in emotional expression and shame, mindfulness is non-intrusive and encourages non-judgmental acceptance. Mindfulness has been used in group settings which is congruent with the region’s collectivist orientation. In addition, given the importance of spirituality, we suggest that mindfulness may be an inclusive approach that is familiar and acceptable to SEA survivors.
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Fears over public accounting becoming increasingly concentrated have inspired several attempts to study the relationship between competition and audit quality. These studies have…
Abstract
Purpose
Fears over public accounting becoming increasingly concentrated have inspired several attempts to study the relationship between competition and audit quality. These studies have yielded conflicting results without a clear reason as to why. This paper aims to propose a new approach and empirically demonstrate a non-monotonic association between competition and audit quality.
Design/methodology/approach
Using metropolitan statistical area level data from the USA over the period of 2000–2014, the author shows that the effect that changes in the competition will have on audit quality depends upon the current competitive state of the market.
Findings
Audit quality is at its highest level when competition is neither too high nor too low. In addition, the point of inflection at which competition turns from being helpful to harmful is influenced by the saturation of the Big 4 auditors in the market.
Practical implications
These findings can help explain the mixed results of the literature and provide insight into the role that regulators can play in modulating competition.
Originality/value
This is the first paper to document a non-monotonic relationship between competition and audit quality. By introducing and exploring the validity of a non-monotonic component in the audit quality equation, the authors can better determine, which competitive structures generate desired levels of audit quality.
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Ilenia Cecchetti, Veronica Allegrini and Fabio Monteduro
The chapter aims to analyse the influence of the board of directors on transparency and integrity in hybrid organisations like state-owned enterprises. The effect of several…
Abstract
The chapter aims to analyse the influence of the board of directors on transparency and integrity in hybrid organisations like state-owned enterprises. The effect of several characteristics of directors on the board’s effectiveness was assessed. The empirical analysis was based on 60 Italian listed and non-listed state-owned enterprises. Each enterprise’s website was individually examined and coded to obtain two self-constructed indexes on transparency and integrity, and a regression model was created to test the hypotheses.
The ‘knowledge structure’ of interlocking directors and board compensation were found to be both positively related to the level of commitment among state-owned enterprises to transparency and integrity. Skill and gender diversity on the board had no significant impact. The analysis used data from a one-year period but dealt with hidden and complex phenomena like corruption. Future longitudinal studies and qualitative approaches would provide more comprehensive insights into the relationship between the board of directors, transparency and integrity over time.
Policymakers and all those involved in the appointment of directors to state-owned enterprises should be aware that some features of board members may affect the levels of organisational transparency and integrity. The chapter contributes to the literature on governance of state-owned enterprises, emphasising the board’s role and its effectiveness in sustaining transparency and integrity.