Is there a CSI-leverage nexus?

We examine how various measures of consumer sentiment index (CSI) affect firms' debt policy decisions. Using U.S. firm-level quarterly data from 1993 to 2017, we provide a strong positive relationship between CSI measures and corporate debt policy, implying that firms use external borrowing during a positive economic outlook and reap the tax-shield benefit. We also find that improved household optimism over financial and business sentiments leads to future household consumption. The CSI-leverage nexus is moderated by the state of firms' financial condition, reputation, and profitability. Importantly, our results are robust to sub-sample analysis, firm-level and macroeconomic controls, econometric specifications, alternative measures of sentiment including Shiller's cyclically adjusted price-earnings ratio (i.e., CAPE_SH), Baker and Wurgler (2006)’s stock market sentiment index (i.e., SENT_BW) and search-based uncertainty measure such as FEARS (i.e., Financial and Economic Attitudes Revealed by Search) index of Da, Engelberg, and Gao (2015).     

The effect of place attachment of geographical indication agricultural products on repurchase intention

[Objective] This study aims to investigate how place attachment and the quality of experience affect consumers' intention to repurchase Geographical Indication (GI) agricultural products. [Methodology] Based on the special functional value and symbolic meaning of GI agricultural products, we constructed a five-dimensional model of place attachment for GI agricultural products consumers. Expanding on the original two-dimensional place attachment model, we introduced three connection concepts: nature, society, and emotion. We also combined this model with the quality of experience model and consumer purchase intention model to form a research model of repurchase intention for GI agricultural products. A questionnaire survey was used to collect data (n = 340), and a partial least squares structural equation model was used to test the empirical evidence. [Research results] (1) Place attachment to Geographical Indication agricultural products significantly affects the quality of experience. (2) Quality of experience significantly affects consumer trust and repurchase intention. (3) Consumer trust significantly affects repurchase intention. (4) There is a mediating effect of experience quality between place attachment and repurchase intention; there is a mediating effect of trust in the relationship between quality of experience and repurchase intention. (5) There is a chain mediating effect of “place attachment→quality of experience→consumer trust→repurchase intention” in the model.     

Institutional investor horizon and stock price synchronicity: Do product market competition and analyst coverage matter?

This paper provides new insights into the relation between institutional investment horizon and stock price synchronicity and investigates whether this relationship depends on the intensity of product market competition and analyst coverage. Based on a sample of French listed companies, we find that long-term (short-term) institutional investors are associated with lower (higher) stock price synchronicity. The results also show that the negative effect of long-term institutional investors is more accentuated for firms in less competitive markets and with high analyst coverage. An additional analysis shows that the synchronicity reduction effect does not vary during the financial crisis. Overall, these findings suggest that unlike their short-term counterparts, long term investors reduce asymmetric information and help disseminate firm-specific information into stock prices.     

Fashion and the metaverse: Clarifying the domain and establishing a research agenda

In recent years, the metaverse has garnered significant attention as a term referring to a network of 3D virtual worlds that integrate elements of both physical and digital worlds. Fashion brands have begun exploring the metaverse as a new marketing platform, which is expected to bring about substantial changes in the fashion and retail industry. However, a lack of consensus on the nature of the metaverse and its impact on the fashion industry currently exists, and limited academic research is available on the metaverse's influence on fashion brands' marketing strategies and brand experiences. To address this gap, this study employs a thematic analysis approach on trade journals and industry articles that cover fashion brands' metaverse strategies. Through this analysis, the study provides a typology of current marketing strategies of fashion brands in the metaverse. Based on these empirical findings, this research proposes a theoretical framework that explains how different metaverse strategies affect different dimensions of brand equity. Finally, this study offers research directions for fashion brands' metaverse strategies by presenting an integrated framework that synthesizes the key insights from our research findings.     

When push comes to shove: How coach versus student athlete misconduct affects event attendance intentions

Though onand off-the-field misconduct is common among U.S. college athletic programs, little is known regarding the ramifications that may result. Drawing on social learning theory, the current research suggests consumers intentions (e.g., likelihood of attending a game) differ depending on violator's team role. Across one qualitative and five experimental studies, we demonstrate that consumers' intentions are influenced by violator's team role, such that likelihood of attending a game is lower when a coach (vs. student athlete) misbehaves, an effect driven by evaluation of the academic institution. This effect is robust across both winning and losing records and moderated by perceived fairness of the university's actions toward the violator.     

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.     

A “load-carrier” perspective approach for assessing tourism resource carrying capacity

To address the challenge of global tourism resources being overloaded or underutilization, there requires an adequate method for assessing the tourism resource carrying capacity (TRCC). However, the majority of previous evaluation perspectives on TRCC are limited by thresholds. This paper develops an innovative approach for assessing TRCC from the “load-carrier” perspective. TRCC is assessed by exploring the interaction between the carriers and loads of tourism resources. Chongqing city in China is employed as the case city to demonstrate the application of the established TRCC method. The conclusions are as follows: 1) This study elaborates the new connotation of TRCC from the perspective of “load-carrier”, and establishes the TRCC evaluation system based on the dynamic relationship between the carrier and load of tourism resources. 2) The proposed TRCC evaluation method is proved effective through an empirical study of Chongqing. 3) Chongqing's case unveils that the overload performance of TRCC can be dynamically monitored and predicted. By applying the TRCC evaluation methodology developed in this study, tourism managers and policymakers can identify whether it is the load or the carrier of tourism resources that affect the performance of TRCC, thereby taking targeted policy measures to eliminate potential risks of overload or underutilization.     

Can digital innovation improve firm performance: Evidence from digital patents of Chinese listed firms

Within the context of the digital economy, digital innovation has emerged as a significance driving force to enhance firm value. This paper uses the A-share listed companies in Shanghai and Shenzhen from 2016 to 2021 as a sample to test the impact of digital innovation on corporate performance and its mechanism. We find that digital innovation can positively improve firm performance by improving labor productivity, reducing operating costs and enhancing competitive advantage. Further research shows that digital innovation is more likely to improve firm performance in high-market, large-scale, state-owned enterprises and regions with high marketization. Digital industrialization can strengthen the positive correlation between digital innovation and firm performance. Industries involved of digital product manufacturing and digital technology application play a greater role in the economic effect of digital innovation. Finally, location-oriented policies promote digital innovation. This paper contributes to the research on the measurement of digital innovation and its economic consequences, constructs a framework for the impact of digital innovation on the economic effect of microenterprises, and provides reliable empirical evidence for the development of digital innovation.     

International high-frequency arbitrage for cross-listed stocks

We explore high-frequency arbitrage activities on international cross-listed stocks and develop a methodology to study the effect of information latency in high-frequency trading. We derive statistical arbitrage bounds for a mean-reverting synthetic instrument engineered from cross-listed stock prices, and we propose a new strategy that takes advantage of price deviations outside these bounds. Market frictions such as trade costs, inventory control, and arbitrage risks are considered. The strategy is tested with cross-listed stocks involving three exchanges in Canada and the United States in 2019. The annual net profit with the limit order strategy is around US$6 million, whereas the market order version is not profitable because of the great interconnectedness between exchanges in our data.     

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.