On linking the perceived values of mobile shopping apps,customer well-being,and customer citizenship behavior: Moderating role of customer intimacy

Marketing studies that seek to determine the drivers of Customer Citizenship Behavior (CCB) are still relatively rare, especially for its multi-faceted relationship with perceived values in the context of online transactions. This study seeks to bridge this research gap by exploring the relationship between the perceived values of mobile shopping applications (MSApps) and CCB through perceived well-being based upon the social exchange theory. This study also makes another original contribution by investigating the moderating role of customer intimacy. A quantitative approach was adopted by collecting data through a web survey and then applying structural equation modelling, as well as cluster and multigroup analyses to test the proposed hypotheses. Perceived values were found to influence consumer well-being, thus predicting CCB, with consumer intimacy playing a significant moderating role in this relationship. This study is one of a few seeking to verify the drivers of CCB for MSApps, and it is the first of its kind to investigate consumer intimacy as a moderating factor. The findings will prove useful to providers of MSApps and retailers.     

The impact of influencers' multi-SNS use on followers’ behavioral intentions: An integration of cue consistency theory and social identity theory

The considerable marketing potential brought by the rapid growth of social media has been extensively examined in the literature, particularly in terms of the impact of influencers' recommendations on their followers' decisions. However, little attention has been given to how the individual influencers' use of multiple social networking sites affects their followers' behavioral intentions. Hence, this academic gap warrants further exploration. Drawing on cue consistency theory, social identity theory, and stimulus-organism-response framework, this research proposes three research questions and constructs an integrated research model to explore how the influencers' cue consistency affects the social identification of their followers, subsequently influencing their behavioral intentions. A structural equation modeling technique is performed to analyze the data of 510 valid respondents. The findings show that influencers' consistent cues (i.e., information and image consistency) across social media have positive impacts on followers' cognitive and affective identification toward the influencers. Furthermore, the determinants for followers' purchase intention and electronic word-of-mouth intention are affirmed to serve as both cognitive and affective identification. Especially, the results indicate that the relationships between followers’ social identifications and behavioral intentions are moderated by the type of influencer (i.e., lifestyle vs. review). Accordingly, the results indicate how the use of multiple social networking sites by influencers impacts the behavioral intentions of their followers. The findings offer new insights into influencer marketing and provide important lessons for marketers.     

Personalized managerial response and negative inconsistent review helpfulness: The mediating effect of perceived response helpfulness

Understanding the effect of managerial response on online review management has attracted the attention of scholars in recent years. However, the effect of personalized managerial response on the negative inconsistent review is a lack of evidence. This study investigates how personalized managerial responses influence negative review helpfulness according to the various levels of review inconsistency and the underlying mechanism behind the effect. We adopted a secondary data analysis based on the TripAdvisor dataset and used an online experiment study to investigate the impact mechanism. Findings reveal that the personalized managerial response positively influences review helpfulness, review inconsistency (negative rating with positive textual sentiment) moderates the effect of personalized managerial response on review helpfulness, and perceived response helpfulness mediates the above relationships. More specifically, personalized managerial response to negative inconsistent reviews has a pronounced effect on consumers’ perception of response helpfulness and their evaluation of review helpfulness. This study improves the current understanding of managerial responses, and provides practical guidance for hoteliers, consumers, and travel websites.     

How do relational bonds affect user engagement in e-commerce livestreaming? The mediating role of trust

E-commerce livestreaming depends heavily on user engagement. However, the effect of relational bonds (i.e., financial bonds, social bonds, and structural bonds) on user engagement in e-commerce livestreaming has not been well understood. Our study develops a conceptual model to investigate the impacts of relational bonds on user engagement and addresses the mediating role of trust. We collected data from users of the DianTao App. The results show that social bonds and structural bonds positively affect user engagement, while financial bonds have no direct impact on user engagement. Financial bonds, social bonds, and structural bonds are positively related to trust in the broadcaster. Similarly, financial bonds, social bonds, and structural bonds are also positively associated with trust in the platform. Furthermore, trust in the broadcaster and trust in the platform directly affects user engagement, fully mediating the impact of financial bonds on user engagement, while partially mediating the impacts of social bonds and structural bonds on user engagement. In addition, we find that experience moderates the mediating effects of trust between relational bonds and user engagement. The findings of this study provide useful insights for operators who should invest in building relational bonds and user trust to improve user engagement in e-commerce livestreaming.     

Economic policy uncertainty and imitation behaviors of corporate social responsibility practices: Evidence from China

In this paper, we examine whether firms facing higher economic policy uncertainty (EPU) are more likely to show similar corporate social responsibility (CSR) practices compared with their peer firms. Drawing upon institutional theory, in response to uncertainty under complex circumstances, managers tend to imitate peer firms' strategic actions to acquire legitimacy. Consistent with our theoretical expectations, we find that EPU increases the likelihood that a focal firm will show CSR practices similar to its peer firms. Such a likelihood is amplified for firms that (1) bear more negative media coverage, (2) have higher industry competition intensity, (3) belong to heavy-polluting industries, and (4) for the first-time disclosures. Our results hold when we employ a series of endogeneity tests and robustness checks.     

Predicting inflation expectations: A habit-based explanation under hedging

One of the main challenges monetary policymakers face is predicting the trajectory of short-term inflation, especially considering the consistently flat Phillips curve observed in recent years. A promising approach to tackling this challenge involves modifying the hybrid New Keynesian Phillips curve (HNKPC) by incorporating a hedging factor. This factor accounts for the efforts risk-averse economic agents make to safeguard their spending decisions against uncertainties arising from inflation. Our study provides evidence that the hedging factor plays a crucial role and is a statistically significant predictor of the upcoming year's inflation rate. Specifically, a one-standard-deviation increase in the hedging factor predicts a positive rise in short-term inflation. Furthermore, we demonstrate that the hedging factor significantly determines the common component found in both well-known survey-based and model-based inflation expectation indicators.     

基于转移概率和网络联系的辽宁省农村居民点适宜性评价

[目的]农村居民点适宜性评价在农村居民点调控、规划和预测中具有基础作用,且农村居民点适宜性评价应顾及农村居民点之间的社会经济活动联系。[方法]以辽宁省为研究区,首先运用逐步Logistic回归模型构建农村居民点转移概率,其次运用网络分析方法确定农村居民点图斑间的网络联系强度,最终通过加权求和方法确定农村居民点转化概率,进行农村居民点空间布局适宜性评价。[结果]辽宁省农村居民点可以划分为高度适宜类、较适宜类、一般适宜类和不适宜类4类,分别占农村居民点总面积的比例为28.18%、31.32%、13.26%和27.24%;从各地貌分区来看,高度适宜类主要集中分布在中部平原地区和东部山地丘陵区中的南方沿海地区,而不适宜类整体分布则较为零散;辽宁省中部平原区位条件好,东部沿海地区区位条件也较好,西部山地丘陵区地区较差。[结论]研究方法和结论有助于全面把握农村居民点社会经济与区位适宜性特征,为农村居民点科学规划提供科学指导。     

科技企业孵化器何以激活区域创新——风险投资与孵化基金的中介作用

完善创新生态系统、提升区域创新能力是我国科技企业孵化器建设的重要目标。基于2013-2018年中国（内地）30个省份面板数据，采用面板数据模型实证检验科技企业孵化器是否促进了区域创新能力提升，并基于中介效应模型探讨风险投资和孵化基金在其中的间接作用。结果发现：①科技企业孵化器建设显著提升了区域创新水平，但主要增加的是实用新型和外观设计专利申请授权数总量，对发明专利申请授权数并没有显著促进作用。上述结果在剔除直辖市样本、采用随机效应模型及空间计量模型的稳健性检验后依然成立；②通过中介效应模型检验发现，区域风险投资和孵化基金集聚效应是科技企业孵化器影响区域创新水平的主要机制；③科技企业孵化器对区域创新的影响在不同区域间差异较大，在东部地区的创新激励效应更加显著，而且政策工具强度对科技企业孵化器与区域创新水平的关系具有正向调节作用。     

“强监督”还是“搭便车”：自然人大股东如何影响企业专利质量

通过构建改进的知识宽度法测算企业专利质量，并以2007—2016年中国沪深A股上市公司为样本，分析自然人大股东对企业专利质量的影响以及在不同类型企业中其作用的差异性。结果表明，作为“强力监督者”，自然人大股东能够促进企业专利质量提高。但因为其角色由“强监督”转变为“搭便车”，故这种促进作用在国有企业和具有政治关联的企业中并不存在。进一步研究表明，促进作用是通过加强对经理人和研发人员的监督，减少其控制权下投机性创新策略，提升其工作努力程度实现的。研究结论为促进国有企业与民营企业创新能力提升提供相应的政策启示。     

Credit stimulus and corporate excess employees

This study examines how the large and unexpected Chinese credit stimulus in 2008 affects firms' labor decision. Using a large sample of industrial firms, we find that state-owned enterprises tend to hire more employment than their counterparts after the credit stimulus. Mechanism analysis shows that the credit stimulus package is followed by lower financing costs and more bank loans for the state-owned enterprises, enhancing the degree of their excess employment compared with their counterparts. Moderating effect tests suggest that the overemployment effect is stronger in provinces with a high unemployment level, where the political leaders have stronger promotion incentives, in industries that are selected as the key stimulating industry, and in provinces with higher bank competition level, but weaker in provinces with higher marketization level. Finally, we find that the firm's overemployment caused by the credit stimulus plans decreases firm labor productivity. Overall, our findings shed light on how credit policy influence firms' labor decision and offer important implications for regulators.