Against the scourge of the COVID-19 pandemic, college students’ learning engagement has become a key issue in universities and society. Guided by the theories of existential positive psychology and social perception, we explored the positive effect of a growth mindset on learning engagement during the COVID-19 pandemic. A total of 1,040 college students from universities in Henan Province of China effectively completed online questionnaires. The results showed that growth mindset was positively related to learning engagement and negatively associated with perceived (...) COVID-19 event strength and perceived stress; perceived COVID-19 event strength was positively related to perceived stress, while perceived COVID-19 event strength and perceived stress were negatively associated with learning engagement. Growth mindset affected learning engagement through three indirect paths: the mediating role of perceived COVID-19 event strength, the mediating role of perceived stress, and the serial mediating role of both perceived COVID-19 event strength and perceived stress. The results indicated that the growth mindset could contribute to college students’ learning engagement through the roles of perceived COVID-19 event strength and perceived stress during the COVID-19 pandemic. This study advances the understanding of the mechanism underlying the relationship between growth mindset and college students’ learning engagement during the COVID-19 pandemic. Furthermore, the findings of the study have important implications for promoting college students’ learning engagement during the pandemic. (shrink)

Background Respect for patients’ autonomy is usually considered to be an important ethical principle in Western countries; privacy is one of the implications of such respect. Healthcare professionals frequently encounter ethical dilemmas during their practice. The past few decades have seen an increased use of courts to resolve intractable ethical dilemmas across both the developed and the developing world. However, Chinese and American bioethics differ largely due to the influence of Chinese Confucianism and Western religions, respectively, and there is a (...) dearth of comparative studies that explore cases of ethical dilemmas between China and the United States. Methods This paper discusses four typical cases with significant social impact. First, it compares two cases concerning patient privacy: the “Shihezi University Hospital Case”, in which a patient was used as a clinical teaching object without her permission, and the “New York-Presbyterian Hospital Case”, in which the hospital allowed the filming of a patient’s treatment without his consent. Second, it compares two cases regarding patient autonomy and potentially life-saving medical procedures: the “Case of Ms. L”, concerning a cohabitant’s refusal to sign a consent form for a pregnant woman’s caesarean, and the “Case of Mrs. V”, concerning a hospital’s insistence upon a blood transfusion for a dissenting patient. This paper introduces the supporting and opposing views for each case and discusses their social impact. It then compares and analyses the differences between China and the United States from cultural and legislative perspectives. Conclusions Ethical dilemmas have often occurred in China due to the late development of bioethics. However, the presence of bioethics earlier in the US than in China has not spared the US of ethical dilemmas. This paper highlights lessons and inspiration from the cases for healthcare professionals and introduces readers to the role and weight of privacy and autonomy in China and in the US from the perspectives of different cultures, religions and laws. (shrink)

This study examines why and when negative workplace gossip promotes self-serving behaviors by the employees being targeted. Using conservation of resources theory, we find that targets tend to increase their political acts as a result of ego depletion triggered by negative gossip. We also show that sensitivity to interpersonal mistreatment and moral disengagement moderate this process. Specifically, we demonstrate that targets with high levels of sensitivity to interpersonal mistreatment are more likely to experience ego depletion, and that targets with high (...) levels of moral disengagement will find it easier to persuade themselves to engage in political acts. We conducted a three-wave time-lagged survey of 265 employees in Guangdong, China, to test our hypotheses. The results support our theoretical model and indicate that COR theory can be used to explain the impacts of negative workplace gossip. Alongside our important and timely theoretical contributions, we provide new perspectives on how managers can avoid or mitigate these political acts. (shrink)

In this study, we examine whether, how, and when corporate social responsibility increases promotive and prohibitive voices in accordance with ethical climate theory and multi-experience model of ethical climate. Data from 382 employees at two time points are examined. Results show that CSR is positively related to promotive and prohibitive voices. Other-focused and self-focused climates mediate the relationship between CSR and the two types of voice. Moreover, humble leadership moderates the positive relationship between CSR and other-focused climate. Such leadership moderates (...) the negative relationship between CSR and self-focused climate. Humble leadership also moderates the indirect effect between CSR and the two kinds of voice through other-focused and self-focused climates. The findings of this study provide important insights into how and when CSR influences employee voice. (shrink)

We explore the potential impact of CEO entrepreneurial orientation on firm choice of CSR activities. Integrating upper echelon theory and attention-based view of the firm, we find that CEO entrepreneurial orientation leads to more engagement in CSR innovation rather than corporate philanthropy. We find that the effect of CEO entrepreneurial orientation on firm choice of CSR activities varies under two situational contexts: state-owned enterprises and incoming/departing CEO. The hypotheses are tested using two different studies. Study 1 uses a cross-sectional survey (...) of Chinese CEOs, whereas study 2 employs a longitudinal analysis of Chinese publicly listed firms from 2003 to 2017. Both studies support our theoretical hypotheses. (shrink)

Although previous studies focus on the role of women in the boardroom and corporate response to natural disasters, none evaluate how women directors influence corporate philanthropic disaster response (CPDR). This study collects data on the philanthropic responses of privately owned Chinese firms to the Wenchuan earthquake of May 12, 2008, and the Yushu earthquake of April 14, 2010. We find that when at least three women serve on a board of directors (BOD), their companies’ responses to natural disasters are more (...) significant. Age diversity among women on BODs as well as good corporate profitability (e.g., high earnings per share) positively moderates the relationship between women on BODs and CPDR. (shrink)

The target article describes a Dutch case that happened in 2008, where Albert Heringa helped his 98-year-old mother, whose general practitioner rejected her request for an assisted d...

Many corporations actively engage in political activities to enhance their relationships with politicians, facilitating access to scarce resources and creating competitive advantages. We investigate corporate donations to explore how they initiate interactions between firms and new local leaders in China. Specifically, we propose that political turnover creates unique opportunities for firms to win over new officials via corporate donations, especially in competitive markets. Moreover, we find that firms that make generous donations at the beginning of a new city secretary’s tenure (...) receive more attention from representatives of new local leaders, especially firms that were politically disadvantaged under a predecessor’s governance. Empirical studies on the turnover of city secretaries between 2001 and 2012 in China strongly support our hypotheses. Consequently, this study improves our understanding of how corporate donations initiate social exchanges between firms and politicians. (shrink)

Emotion management in the workplace is drawing increasing attention from researchers. However, they still know little about how positive leadership affects employees’ emotional labor. Building on social information-processing theory, we examine whether and how a servant leadership style influences employees’ emotional labor. Using a sample of 305 employees in 81 work units of 25 subcorporations at a food company in China, we find that servant leadership relates negatively to surface acting but relates positively to deep acting at work. We also (...) find that the indirect effect of servant leadership on surface/deep acting via affective trust is stronger than the indirect effect via cognitive trust. Our research reveals that servant leadership influences employees’ emotional labor more through affective trust than cognitive trust. We discuss the theoretical and practical implications of our findings. (shrink)

Ankeny et al. focuses on the recent creation of “iBlastoids” and defends the need for reflexive, anticipatory, and deliberative approaches in the domain of emerging and potentially contentio...

The target article by Laacke et al. focuses on the specific context of identifying people in social media with a high risk of depression by using artificial intelligence technologies. I...

Abusive supervision negatively affects its direct victims. However, recent studies have begun to explore how abusive supervision affects third parties. We use the emotion-based process model of schadenfreude as a basis to suggest that third parties will experience schadenfreude and increase their work engagement as a response to peer abusive supervision. Furthermore, we suggest that the context of competitive goal interdependence facilitates the indirect relationship between PAS and third parties’ work engagement on schadenfreude. We use a mixed-method approach to test (...) our hypotheses. Data from an experimental study conducted by facial expression analysis technology and a multi‐wave field study generally support our hypotheses. Overall, our study extends PAS literature and meaningfully informs practitioners who aim to promote ethical workplace environments. (shrink)

The target article by David Alfandre et al. offers a new ethical framework to guide COVID-19 contingency surge planning and response, and applies this ethical framework to three case example...

This study addresses the question whether corporate social responsibility (CSR) matters in Asian Emerging Markets. Based on CSR scores compiled by Credit Lyonnais Securities (Asia), we assess the CSR performance of major Asian firms over a period of 3 years, from 2001 to 2004. The results show that there is a positive and significant relation between CSR and market valuation among Asian firms. We further find that CSR is positively related to the market valuation of the subsequent year. More importantly, (...) Asian firms are rewarded by the market for improving their CSR practice. (shrink)

Sequences of individual words make up media reports. And sequences of media reports constitute the power of the news media to influence corporate practices. In this paper, we focus on the micro-foundations of news reports to elaborate how an atmosphere of negative news reports following an initial exposure of corporate pollution activity can help stop such activity through their impact on corporate managers. We extend our understanding of the corporate governance effect of news media by considering two new aspects of (...) reports—one, the proportion of words in negative reports relative to the total number of words in all reports; and two, the geographical origin of news media. We suggest that the more negative the media coverage, and the more local this coverage, the greater the impact on corporations. Our study of news media reports from more than 600 newspaper sources on disciplining pollution activities of listed Chinese firms from 2004 to 2012 provides strong support for our hypotheses. These findings have valuable implications for the handling of pollution issues in transitional economies via the power of news words. (shrink)

Considerable interest exists regarding the media’s influence on corporate reactions, but the link between media visibility and corporate philanthropic response is not clear. Natural disasters thus provide an environment that makes visible the general processes relevant to that link. Based on agenda-setting theory, stakeholder theory, and impression-management theory, we propose that corporations that are highly visible in the news media are more likely to engage in CPR and donate more money. We also propose that companies with reputations for irresponsibility or (...) vulnerability strengthen that tendency. Data from Chinese firms after the Wenchuan earthquake on May 12, 2008, and the corresponding empirical results support our hypotheses. This study also shows that CPR is an active conduit for deflecting undesired reputations. (shrink)

Drawing on conservation of resources theory, we contribute to the behavioral ethics literature by examining how and why organizational socialization processes can affect newcomers’ adoption of unethical behaviors. Specifically, we contend that quality peer coaching provides newcomers with enhanced self-resources that diminishes emotional exhaustion and thus indirectly reduces newcomer unethical conduct. Conversely, peer coach unethical conduct increases newcomers’ emotional exhaustion, and thus indirectly increases newcomers’ own unethical acts. Our research also identifies newcomers’ goal orientations as important individual differences that moderate (...) the proposed mediation effects. Newcomers with high mastery orientations respond to high emotional exhaustion by harnessing more resources and identifying new work strategies, thereby engaging in less unethical conduct. Conversely, newcomers with high performance orientations give into emotional exhaustion and engage in unethical conduct as a way of outperforming others while conserving resources. We tested our theoretical model using a sample of peer coaches and newcomers from the Real Estate industry, using objective reporting of peer coaches’ and newcomers’ unethical conduct over a nine-month period. (shrink)

A tracking control algorithm of nonlinear multiple agents with undirected communication is studied for each multiagent system affected by external interference and input saturation. A control design scheme combining iterative learning and adaptive control is proposed to perform parameter adaptive time-varying adjustment and prove the effectiveness of the control protocol by designing Lyapunov functions. Simulation results show that the high-precision tracking control problem of the nonlinear multiagent system based on adaptive iterative learning control can be well realized even when the (...) input is saturated. Finally, the validity of the proposed algorithm is verified by numerical analysis. (shrink)

In “Deception and the Clinical Ethicist,” Meyers defends the argument that the clinical ethicist should sometimes be an active participant in the deception of patients and their families. Me...

In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. On the other hand, they mainly focus on causal inference and lack systematic quantitative conclusions from the perspective of prediction. This paper is the first to comprehensively investigate the predictability of multidimensional features on commercial bank performance using boosting regression tree. The dimensionality in the financial-related fields is relatively high. (...) There are not only observable price data, financial fundamentals data, etc., but also many unobservable undisclosed data and undisclosed events; more sources of income cannot be explained by existing models. Aiming at the characteristics of commercial bank data, this paper proposes an adaptively reduced step size gradient boosting regression tree algorithm for bank performance evaluation. In this method, a random subsample sampling is performed before training each regression tree. The adaptive reduction step size is used to replace the reduction step size setting of the original algorithm, which overcomes the shortcomings of low accuracy and poor generalization ability of the existing regression decision tree model. Compared to the BIRCH algorithm for classification of existing data, our proposed gradient boosting regression tree algorithm with adaptively reduced step size obtains better classification results. This paper empirically uses data from rural banks in 30 provinces in China to classify the different characteristics of rural banks’ performance in order to better evaluate their performance. (shrink)

Although previous studies primarily claim that government-dependent firms can actively engage in compliance activities in order to achieve political legitimacy, access government resources, and build competitive advantages, these studies largely ignore how firms react when firm-dependent governments exert coercive pressures. We thus introduce institutional theory and the behavioral theory of social performance to develop a model of modest imitation, and we propose that the more governments depend on privately owned firms, the more firms demonstrate average social performance in order to (...) balance efficiency concerns with political legitimacy threats. Meanwhile, whether firms imitate peers’ social performance depends on the magnitude of institutional rigidity. In turn, issue salience and spatial proximity undermine modest imitation, and political connections strengthen modest imitation. We study how all listed, privately owned firms react to the Chinese government’s call for social engagement in poverty alleviation initiated in 2015. This study uses a two-stage Heckman selection model to correct for sample-selection bias, and the results provide strong support for our arguments. This research thus extends our understanding of modest imitation in response to coercive pressure from-dependent governments. (shrink)

This study examines how the reference-point effect and sunk-cost fallacy interact with stakeholder theory and influence how investors evaluate corporate social performance. We propose that ex-ante (pre-IPO) corporate social performance influences ex-post (post-IPO) perceived riskiness and that this relationship is U-shaped. We also evaluate how CEO duality and company age moderate this U-shaped relationship. Using young and newly public entrepreneurial firms in China, and focusing on stock returns in the secondary market, empirical results and robustness tests provide strong support for (...) our hypotheses. (shrink)

With the growth of online commerce, companies have created virtual communities where users can create posts and reply to posts about the company’s products. VCs can be represented as networks, with users as nodes and relationships between users as edges. Information propagates through edges. In VC studies, it is important to know how the number of topics concerning the product grows over time and what network features make a user more influential than others in the information-spreading process. The existing literature (...) has not provided a quantitative method with which to determine key points during the topic emergence process. Also, few researchers have considered the link between multilayer physical features and the nodes’ spreading influence. In this paper, we present two new ideas to enrich network theory as applied to VCs: a novel application of an adjusted coefficient of determination to topic growth and an adjustment to the Jaccard coefficient to measure the connection between two users. A two-layer network model was first used to study the spread of topics through a VC. A random forest method was then applied to rank various factors that might determine an individual user’s importance in topic spreading through a VC. Our research provides insightful ways for enterprises to mine information from VCs. (shrink)

This study examines whether an acquirer’s pre-announcement corporate social responsibility (CSR) engagement can provide an insurance-like effect to preserve acquirer returns during the announcement of an acquisition event. Drawing on stakeholder theory and signaling theory, we posit that CSR engagement accrues positive moral capital for an acquirer and sends a positive signal indicating the acquirer’s altruism, both of which temper stakeholders’ negative responses and prevent a reduction in market returns around the announcement of an acquisition. However, high-CSR engagement could backfire (...) when the acquirer makes a hostile takeover announcement. Incongruent signals between high-CSR engagement and the hostile practice are a sign of hypocrisy in the eyes of stakeholders, which can worry investors and hurt acquirer returns. By analysing 1310 acquisition transactions from 2002 to 2012, the results of our event study show that high-CSR acquirers generally enjoy positive acquirer returns during their acquisition announcements, but negative returns when the acquisitions are hostile. These findings support the idea that CSR engagement can provide insurance-like benefits during an event that is often seen as “negative”, while also identifying signal incongruence as an important boundary condition. (shrink)

The COVID-19 pandemic has significantly affected the exhibition of artworks in museums and galleries. Many have displayed their collection online. In this context, experiencing an online exhibition is essential for visitors to appreciate and understand the artwork. Compared with offline exhibitions, visitors to online exhibitions are often unable to communicate their experiences with other visitors. Therefore, in this study, by facilitating communication via Zoom call, we established a system that allows two people to visit the museum together through the Google (...) Arts and Culture website. To reduce the psychological distance between online visitors and help increase user engagement, we designed and developed a media device based on moiré pattern visualization of electroencephalography signals. The participants were divided into two groups to visit the online museum, communicating remotely through Zoom. The objective of this study was to test whether a real-time EEG signal visualization device could help close the psychological distance between participants and whether it could increase user engagement with the online exhibition. Participants were randomly assigned to either the normal online exhibition experience group or EEG signal visualization device group. Participants in the NOEE group experienced four online exhibitions together. The conditions for participants in the ESVD group remained the same, apart from adding a media device to enable them to visualize EEG signals. A total of 40 university students participated in this study. Independent samples t-tests revealed that participants in the ESVD group perceived a significantly closer psychological distance between themselves and the participants on the opposite side than those in the NOEE group. A one-way ANOVA revealed that participants experienced Task3 with significantly closer psychological distance assessments than Task1, Task2, and Task4. Repeated ANOVAs revealed that participants in the ESVD group had higher overall user engagement than those in the NOEE group, with marginal significance. Thus, this study shows that EEG visualization media devices can reduce the psychological distance between two participants when experiencing an online exhibition. Moreover, it can increase user engagement to some extent. (shrink)

We explore in this study whether, how, and when time pressure leads to abusive supervisory behavior. Based on the attentional focus model, we propose that time pressure impairs supervisors’ moral awareness, which increases their subsequent abusive supervisory behavior. We also propose that the trait mindfulness of supervisors mitigates the indirect effect of time pressure on abusive supervisory behavior through moral awareness. Based on an experiment conducted by using eye-tracking methods, Study 1 tests and provides support for the relationships between time (...) pressure and moral awareness (N = 53). In Study 2, we test our full theoretical model through an experience sampling methodology for 10 workdays with data from 61 supervisors and their subordinates. Results revealed that time pressure had an indirect and positive effect on abusive supervisory behavior through the supervisors’ moral awareness. Such an indirect effect was stronger when the trait mindfulness of the supervisors was low rather than high. We conclude this research by discussing the theoretical and practical implications of our findings as well as future research directions. (shrink)

Financial internationalization leads to similar fluctuations and spillover effects in financial markets around the world, resulting in cross-border financial risks. This study examines comovements across G20 international stock markets while considering the volatility similarity and spillover effects. We provide a new approach using an ICA- based ARMA-APARCH-M model to shed light on whether there are spillover effects among G20 stock markets with similar dynamics. Specifically, we first identify which G20 stock markets have similar volatility features using a fuzzy C-means time (...) series clustering method and then investigate the dominant source of volatility spillovers using the ICA-based ARMA-APARCH-M model. The evidence has shown that the ICA method can more accurately capture market comovements with nonnormal distributions of the financial time series data by transforming the multivariate time series into statistically independent components. Our findings indicate that the G20 stock markets are clustered into three categories according to volatility similarity. There are spillover effects in stock market comovements of each group and the dominant source can be identified. This study has important implications for investors in international financial markets and for policymakers in G20 countries. (shrink)

This paper addresses the robust stabilization problem for a class of stochastic Markovian jump systems with distributed delays. The systems under consideration involve Brownian motion, Markov chains, distributed delays, and parameter uncertainties. By an appropriate Lyapunov–Krasovskii functional, the novel delay-dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities. When given linear matrix inequalities are feasible, an explicit expression of the desired state feedback controller is given. The designed controller, based on the obtained (...) criterion, ensures asymptotically stable in the mean square sense of the resulting closed-loop system. The convenience of the design is greatly enhanced due to the existence of an adjustable parameter in the controller. Finally, a numerical example is exploited to demonstrate the effectiveness of the developed theory. (shrink)

Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...) line capacity scheduling algorithm, and display them in an intuitive way. The experimental results show that the algorithm model established in this paper can basically meet the data requirements of operation and management, and can provide decision support for customized bus line planning. (shrink)

Information on age-related differences in affective meanings of words is widely used by researchers to study emotions, word recognition, attention, memory, and text-based sentiment analysis. To date, no Chinese affective norms for older adults are available although Chinese as a spoken language has the largest population in the world. This article presents the first large-scale age-related affective norms for 2,061 four-character Chinese words (AANC). Each word in this database has rating values in the four dimensions, namely, valence, arousal, dominance, and (...) familiarity. We found that older adults tended to perceive positive words as more arousing and less controllable and evaluate negative words as less arousing and more controllable than younger adults did. This indicates that the positivity effect is reliable for older adults who show a processing bias toward positive vs. negative words. Our AANC database supplies valuable information for researchers to study how emotional characteristics of words influence the cognitive processes and how this influence evolves with age. This age-related difference study on affective norms not only provides a tool for cognitive science, gerontology, and psychology in experimental studies but also serves as a valuable resource for affective analysis in various natural language processing applications. (shrink)

In this paper, we study the problem of protecting privacy in recommender systems. We focus on protecting the items rated by users and propose a novel privacy-preserving matrix factorization algorithm. In our algorithm, the user will submit a fake gradient to make the central server not able to distinguish which items are selected by the user. We make the Kullback–Leibler distance between the real and fake gradient distributions to be small thus hard to be distinguished. Using theories and experiments, we (...) show that our algorithm can be reduced to a time-delay SGD, which can be proved to have a good convergence so that the accuracy will not decline. Our algorithm achieves a good tradeoff between the privacy and accuracy. (shrink)

Human motion gesture recognition is the most challenging research direction in the field of computer vision, and it is widely used in human-computer interaction, intelligent monitoring, virtual reality, human behaviour analysis, and other fields. This paper proposes a new type of deep convolutional generation confrontation network to recognize human motion pose. This method uses a deep convolutional stacked hourglass network to accurately extract the location of key joint points on the image. The generation and identification part of the network is (...) designed to encode the first hierarchy and the second hierarchy and show the spatial relationship of human body parts. The generator and the discriminator are designed as two parts in the network, and they are connected together in order to encode the possible relationship of appearance and, at the same time, the possibility of the existence of human body parts and the relationship between each part of the body and its parental part coding. In the image, the key nodes of the human body model and the general body posture can be identified more accurately. The method has been tested on different data sets. In most cases, the results obtained by the proposed method are better than those of other comparison methods. (shrink)

In the traditional case, the uncertainty of the ambient temperature measured by the experiential distributed sensor is considered. In this paper, a model based on the moving least square method in the fusion algorithm is proposed to study the optimal monitoring point of the sensor in the greenhouse and determine the most suitable installation position of the sensor in the greenhouse to improve the control effect of the temperature control device of the system. MATLAB simulation software is used to simulate (...) each working condition of the greenhouse. Temperature data measured at 15 locations in the greenhouse were used to evaluate all possible combinations of monitoring locations and to estimate the optimal location for indoor temperature sensors. Compared with the traditional method, the error is reduced to 0.373, and the data are more accurate. (shrink)

We design and implement an intelligent IoT-based motion monitoring system to realize the monitoring of three important parameters, namely, the type of movement, the number of movements, and the period of movement in physical activities, and optimize the system to support the simultaneous use by multiple users. Considering the motion monitoring scenario for smart fit, the framework of an IoT-based motion monitoring system is proposed. The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and (...) terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. For active pattern recognition, two types of classification algorithms with different complexity are proposed based on Support Vector Machine and deep neural networks, respectively, to adapt to scenarios with different computational capabilities. For period calculation, a method based on over-zero detection and wavelet transform is proposed to count the number of actions and calculate the period of each action. In 100 times action cycle calculation experiments, the count statistic calculation method achieves 100% calculation accuracy and the active cycle calculation results are close to the real value, which proves the effectiveness of the cycle calculation method. The system provides a multiuser-oriented communication method and realizes accurate and reliable human movement monitoring, which has a wide application prospect in the fields of physical education and rehabilitation training. (shrink)

Identification with all humanity is viewed as a critical construct that facilitates global solidarity. However, its origins have rarely been explored in previous literature, and no study has yet investigated the role of pop-culture in cultivating IWAH. To address this gap, this study initially focuses on science fiction, a specific pop-culture genre with worldwide audiences, and examines its effect on IWAH. It hypothesized a direct association between sci-fi engagement and IWAH from the narrative persuasion approach, and an indirect association via (...) abstract construal based on the cognitive-literary approach. Moreover, the moderating role of actively open-minded thinking in the direct and indirect association was also assessed. Results were obtained through a cross-sectional survey conducted in China and showed that sci-fi engagement was positively associated with IWAH; this association was also partially mediated by abstract construal. Interestingly, and inconsistent with our hypotheses, AOT positively moderated the indirect effect but negatively moderated the direct effect. Theoretical and practical implications for cultivating IWAH from the media and pop-cultural perspective were discussed. (shrink)