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This paper aims to establish and empirically test a theoretical framework to explain the impacts of health quick response (QR) technology trust and acceptance on responsible pandemic travel.

The study integrates trust, confidence and cooperation theory and the technology acceptance model (TAM) to address the research aim. Adopting a quota sampling approach, a national online survey of 1,089 respondents was conducted across mainland China. Structural equation modelling is applied to evaluate the proposed hypotheses.

Results indicate that health QR code technology trust can improve travel confidence and mitigate travel fear, which influences travel intention and social distancing practices among tourists. However, tourists’ acceptance of health QR codes encourages social distancing behaviours rather than travel intentions.

The study illustrates the role of health information technology in improving tourist confidence and responsible travel behaviours in a pandemic context. Furthermore, the research supports and adds to the TAM by investigating the relationships between acceptance of health-related technology and pandemic travel behaviour.

This research helps the local government and tourism managers to evaluate the effectiveness of health QR codes in pandemic travel in China. Strategies for improving tourists’ trust, technology adoption and responsible behaviours are provided.

This study differs from existing literature by investigating the innovative technology (i.e., health QR codes) in pandemic travel. Given the prevalence of health QR codes after the COVID-19 outbreak, it fills a knowledge gap and provides advice to improve pandemic travel safety.

本文旨在建立并实证检验一个理论框架, 以解释健康快速反应 (QR) 技术信任和接受对负责任的大流行旅行的影响。

该研究整合了信任、信心和合作理论以及技术接受模型来解决研究目标。 采用配额抽样的方法, 在中国大陆对 1089 名受访者进行了全国在线调查。 应用结构方程模型来评估提出的假设。

结果表明, 健康二维码技术信任可以提高旅行信心并减轻旅行恐惧, 这会影响游客的旅行意愿和社会疏远做法。 然而, 游客对健康二维码的接受鼓励了社会疏远行为, 而不是旅游意图。

该研究说明了健康信息技术在大流行背景下提高游客信心和负责任的旅行行为方面的作用。 此外, 该研究通过调查健康相关技术的接受度与流行病旅行行为之间的关系, 支持并补充了技术接受度模型。

这项研究帮助当地政府和旅游管理者评估健康二维码在中国大流行旅游中的有效性。 提供了提高游客信任度、技术采用和负责任行为的策略。

这项研究与现有文献的不同之处在于调查了大流行旅行中的创新技术（即健康二维码）。 鉴于 COVID-19 爆发后健康二维码的流行, 它填补了知识空白并提供了改善大流行旅行安全的建议。

In the digital economy, digital capability has become an important dynamic capability of enterprises and plays an essential role in enhancing firm resilience. This study aims to investigate the relationships among digital capability, knowledge search, coopetition behavior and firm resilience based on knowledge-based view and resource-based view.

This study uses the hierarchical regression and bootstrapping methods to test the theoretical framework and research hypotheses. The survey data were collected from 241 Chinese enterprises.

Digital capability has significantly positive effects on knowledge search and firm resilience. Knowledge search positively affects firm resilience and partially mediates the relationship between digital capability and firm resilience. Coopetition behavior weakens the relationship between digital capability and knowledge search, and the mediating effect of knowledge search in the relationship between digital capability and firm resilience. The moderating effect of coopetition behavior on the relationship between digital capability and firm resilience is insignificant.

This study clarifies the effect of digital capability on firm resilience and uncovers the “black box” from digital capability to firm resilience. In addition, this research enriches the literature on digital capability and firm resilience and expands the application of knowledge-based view and resource-based view in the digital context.

On the basis of labor economics theories, this study examines how adjustment in human capital accounts for labor cost stickiness.

This study makes use of employee education level as a measure of the quality of human capital and relies on data from Chinese public firms to conduct the empirical test. This study focuses on two important components of labor cost changes: one corresponding to the adjustment in the number of employees (capacity adjustment) and another corresponding to the adjustment in the mix of employee education levels (quality adjustment).

This study reveals that labor cost changes driven by the adjustment of employee education level are sticky. This stickiness cannot be explained by the standard adjustment cost theory. This further shows that firms that actively adjust their employee quality during downturns experience improved future performance. The findings are robust to alternative measures and specifications.

This study provides new evidence for and insights into the cost behavior literature. Previous studies treat input resources in a homogenous way and focus on the effect of capacity adjustment. This study considers the heterogeneity of resources and examines three dimensions of salary cost adjustment: capacity, structure, and unit cost. In line with the economic theory of sticky costs proposed by Banker et al. (2013a), the study’s evidence sheds light on the additional underlying economic mechanisms driving cost stickiness behavior. Specifically, managers asymmetrically adjust both employee structure and average salaries, in addition to employee number. This study also adds to the existing knowledge of the consequences of managers' actions regarding cost behavior.

This study aims to examine the impact of perceived institutional force on environmental strategy, and the moderating role of institutional incompleteness.

This study tests hypotheses employing hierarchical regression model based on a survey of 317 Chinese manufacturers.

The results reveal that perceived business and social force have positive impacts on symbolic environmental strategy. Perceived social force has a positive impact on substantive environmental strategy and a negative impact on greenwashing. Further analysis suggests that perceived social force has a stronger effect on substantive environmental strategy than perceived business force. Moreover, institutional incompleteness strengthens the impact of perceived business force on substantive environmental strategy, and the impact of perceived social force on symbolic and substantive environmental strategy.

This study establishes a framework integrating distinct types of perceived institutional force and environmental strategy and provides a new perspective on measuring greenwashing to extend environmental strategy literature.

The purpose of this paper is to investigate if earnings management affects the trades of different investors prior to earnings announcements.

Using a unique account-level trading data set from the Chinese stock market, the author investigates the different investor trading patterns prior to earnings announcements.

The author obtains direct evidence to show that: first, institutional investors, particularly active ones, tend to sell (buy) stocks before negative (positive) earnings surprises; second, institutional investors buy stocks intensively with the lowest earnings management and the highest earnings surprises, and the trading patterns are primarily driven by active institutions. No significant trading pattern is observed on the stocks with negative earnings surprises; and third, the author uses a natural experiment in accordance with the Chinese accounting standards reform to address endogeneity, and the causality of the results still holds.

The findings provide clear evidence by emphasizing the importance of earnings management in the formulation of investor decisions.

The purpose of this paper is to explore the relations of investment and stock prices (Tobin‐Q), the impact of asymmetric information on the investment sensitivity to stock price, and the impact of asymmetric information on the stock price sensitivity to investment.

Research was conducted with 313 listed companies and 1,878 firm‐year observations from Chinese stock market. Empirical studies were conducted based on two hypotheses by using R², information delay and scores of information disclosure as measures of asymmetric information and taking changes in book assets and capital expenditures scaled by book assets as measures of investment.

The key findings of the paper are: managers are learning from the market when they make investment decisions; the asymmetric information has a significant negative impact on the investment sensitivity to stock price; and the asymmetric information has a significant positive impact on the stock price sensitivity to investment.

The paper has a significant practical implication for regulation policy making in stock market.

The paper fills the research gap in two points. It studies the impact of asymmetric information on the investment sensitivity to stock price, and the impact of asymmetric information on the stock price sensitivity to investment in Chinese stock market for the first time.

The purpose of the study is to address the problems of low accuracy and missed detection of occluded pedestrians and small target pedestrians when using the YOLOX general object detection algorithm for pedestrian detection. This study proposes a multi-level fine-grained YOLOX pedestrian detection algorithm.

First, to address the problem of the original YOLOX algorithm in obtaining a single perceptual field for the feature map before feature fusion, this study improves the PAFPN structure by adding the ResCoT module to increase the diversity of the perceptual field of the feature map and divides the pedestrian multi-scale features into finer granularity. Second, for the CSPLayer of the PAFPN, a weight gain-based normalization-based attention module (NAM) is proposed to make the model pay more attention to the context information when extracting pedestrian features and highlight the salient features of pedestrians. Finally, the authors experimentally determined the optimal values for the confidence loss function.

The experimental results show that, compared with the original YOLOX algorithm, the AP of the improved algorithm increased by 2.90%, the Recall increased by 3.57%, and F1 increased by 2% on the pedestrian dataset.

The multi-level fine-grained YOLOX pedestrian detection algorithm can effectively improve the detection of occluded pedestrians and small target pedestrians.

The authors introduce a multi-level fine-grained ResCoT module and a weight gain-based NAM attention module.

This study examines the determinants of medical crowdfunding performance. Drawing on signaling theory, the authors investigate how funding-related signals (funding goal and duration), story-related signals (text length, text sentiment, and use of first-person pronouns), and donor-related signals (donor identity disclosure) affect medical crowdfunding performance.

This study analyzed the data of 754 medical crowdfunding projects collected from the Qingsongchou platform in China to test the proposed model.

The empirical findings reveal that both funding goal and funding duration exhibit a U-shaped relationship with crowdfunding performance. Additionally, the authors find evidence that story text length and donor identity disclosure are positively related to crowdfunding performance, whereas the use of first-person pronouns is negatively related to crowdfunding performance.

This study extends the understanding of the determinants of medical crowdfunding performance through the signaling theory. Specifically, this study provides new insights into the roles of funding goal and funding duration in predicting medical crowdfunding performance and identifies several new predictors of crowdfunding performance, including the use of first-person pronouns in project story text and donor identity disclosure.

Online reviews in online health communities (OHCs) have been a vital information source for patients. The extant literature on the bias effects of helpful reviews mainly concentrates on traditional e-commerce, whereas research on OHCs is still rare. Thus, based on the heuristic-systematic model (HSM), this research explores how two unique reviewer characteristics in OHCs, which may induce attribution bias and confirmation bias, affect review helpfulness and how review length moderates these relationships.

This research analyzed 130,279 reviews collected from haodf.com (one of the representative OHCs in China) by adopting the negative binomial regression to test our research model.

The results indicate that reviewer cured status positively influences review helpfulness, whereas reviewer recommendation source negatively affects review helpfulness. Moreover, the effects of the two reviewer cues on review helpfulness will be weaker for longer reviews.

First, as one of the initial attempts, the current study investigates the effects of confirmation bias and attribution bias of online reviews in OHCs by exploring the effects of two unique reviewer characteristics on review helpfulness. Second, the weakening moderating effects of review length on the two bias effects provide empirical support for the theoretical arguments of the HSM in OHCs.

The purpose of this paper is to investigate the influence of idiosyncratic risk on firm decisions.

By introducing managerial ownership as a key variable, the paper presents a parsimonious model to describe the consequences of idiosyncratic risk on firm decisions. Then the paper uses data from the Chinese stock market, in which the managerial ownership is very low (around 0.02 percent) to examine the model predictions.

The authors find that: first, the negative relation between idiosyncratic risk and firm investment, which is found in prior studies, tends to be insignificant when managerial ownership is very low; second, diversification, as an alternative firm decision to lower risk positively, relates to idiosyncratic risk despite lower managerial ownership; and third, this kind of positive relation is weaker for firms with more managerial incentives when diversification is endogenously modeled.

This paper provides new evidence to complement existing studies from developed markets, in which executives hold substantial stakes.