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In this paper, we analyze the effect of investor attention level on expected return in the Korean stock market by investor type. We find that the risk-adjusted excess returns in the next period are significantly higher when the institutional and foreign investor’s attention is high. In other words, investment strategies that buy stocks in higher attention groups and sell those in lower attention groups provide significant excess returns. This result is in contrast to the argument that the market operates more competitively and moves more efficiently as the number of investors increases due to the increased investor attention. Next, we examine how the degree of attention of institutional, individual, and foreign investors affects each other. The analysis reveals that the attention of individual investors affects the attention of institutional investors in the next period, and vice versa. In addition, as a result of group analysis according to the size of company and stock price, we find that the investor's attention affects the market differently depending on the type of investors and stock price level.

This paper aims to investigate the impact of corporate dividend policy on the capital structure in the Korean stock market. To distinctly discern the voluntariness of changes in corporate dividend policy, we analyze companies that, following a substantial increase, do not reduce dividends for the subsequent two years or, after a significant decrease, do not raise dividends for the following two years. Our empirical findings indicate that companies that increase dividends experience a significant decrease in both book and market leverage, even after controlling for variables such as target leverage ratios. This result suggests that a large increase in dividends can effectively reduce information asymmetry, leading to a lower cost of equity. On the contrary, after a decrease in dividends, both book leverage and market leverage significantly increase, revealing a symmetric relationship between dividend policy and capital structure. In conclusion, large dividend increases in Korean companies not only reduce information asymmetry but also lower the cost of equity capital, resulting in observable changes in the leverage ratio.

This study aims to develop and validate a new scale for measuring green country image (GCI). The current country image (CI) concept is recognized as limited in capturing the complexities of consumer perceptions today. By building a GCI scale, this study can provide a more nuanced understanding of how consumers evaluate a country’s image beyond traditional measures. This scale will be a valuable tool for international marketers to develop effective strategies in the 21st century’s dynamic global business landscape.

This study adopts a mixed-methods approach to develop and validate a new scale for measuring GCI. This approach leverages the strengths of both qualitative and quantitative methods to gain a comprehensive understanding of the concept and develop a reliable measurement tool.

A reliable and valid scale was developed to measure the six dimensions of GCI: social green country image (SOGCI), economic green country image (ECGCI), environmental green country image (ENGCI), technological green country image (TEGCI), leadership green country image (LEGCI) and people green country image (PEGCI). In results, the new GCI scale is a six-dimensional, 23-item, five-point scale. An important finding was that these six factors were statistically significant reflective scales.

By developing a validated GCI scale, this study offers valuable insights for international marketers navigating the evolving consumer perceptions of importing countries. This novel scale empowers the international marketers to tailor strategies and target specific markets based on GCI. The mixed-methods approach strengthens the GCI scale’s robustness, making it a significant contribution to both academic research and international marketing practice.

The purpose of this paper is to investigate an integrative model that explores the influence of knowledge-sharing enablers (social capital (SC), including structural, relational, and cognitive SC) on knowledge-sharing (KS) processes (KS behaviors: knowledge collecting (KC) and knowledge donating (KD)) as well as a further superior KS outcome (organizational performance).

The survey was administered in 14 top tier five-star hotels in Seoul, Korea. Employees of the hotels participated in the survey; 486 surveys were used to investigate a research model and hypotheses using a path analysis.

The research confirmed the importance of SC in the context of KS from the resource-based view. The paper provides empirical evidence that structural, relational, and cognitive SC affected KC and KD, which in turn influenced organizational performance. Interestingly, whereas cognitive SC has the strongest effect on employees' KC, relational SC has the strongest effect on employees' KD. The impact of employees' KC on organizational performance appears to be stronger than that of KD.

The relationships among KS enablers, processes, and organizational performance may provide a clue regarding how hotels can promote KS culture, which focuses on the social dynamics derived from interpersonal and group relationships to boost their performance by increasing employees' willingness to collect knowledge from and donate knowledge to colleagues.

This study explores the under-researched subject of SC with regard to KS and their roles in promoting organizational performance within a hospitality industry context. The study is among the first to examine SC as an organizational resource, two distinctive types of KS behaviors as an organizational capability, and organizational performance from both an integrative (KS enablers-processes-outcomes framework) and resource-based view of the firm's perspective simultaneously. Especially, this study identifies the specific mechanism of two distinctive types of employees' KS behaviors, such as KC and KD, between SC factors and organizational performance.

This study aims to apply the information system success model (ISSM) to examine the relationships among actual use, use continuance intention, user satisfaction and net benefits in the context of quick-service restaurant (QSR) patrons using two contactless technologies (CT): self-service kiosks (SSK) and mobile applications (MA) for food ordering. The study also investigates the moderating roles of social interaction anxiety (SIA) and language proficiency (LP) in the abovementioned relationships.

Survey data from 421 QSR patrons with experience using McDonald's SSK and MA were collected and analyzed through a seemingly unrelated regressions (SUR) technique.

Research findings reveal positive associations among actual use, use continuance intention and satisfaction with CT (i.e. SSK and MA). The actual use and satisfaction with CT are positively associated with individual benefits, leading to improved patron satisfaction with QSR. Findings also reveal that, in the case of MA, SIA positively moderates relationships between actual use/satisfaction and individual benefits and between satisfaction and organizational benefit, while LP shows negative moderating effects on those relationships.

This study is one of the first attempts to present empirical evidence of constructs in the ISSM (actual use, use continuance intention, satisfaction and individual/organizational benefits) in the context of QSR patrons using SSK and MA. It also shows that using MA can address some patrons' psychological problems interacting with others in their food-ordering processes.

Based on more than 2.7 million online reviews (ORs) collected with big data analytical techniques from Booking.com and TripAdvisor.com, this paper aims to explore if and to what extent environmental discourse embedded in ORs has an impact on electronic word-of-mouth (e-WOM) helpfulness across eight major destination cities in North America and Europe.

This study gathered, by means of Big Data techniques, 2.7 million ORs hosted on Booking.com and TripAdvisor, and covering hospitality services in eight different destinations cities in North America (New York City, Miami, Orlando and Las Vegas) and Europe (Barcelona, London, Paris and Rome) over the period 2017–2018. The ORs were analysed by means of ad hoc content analytic dictionaries to identify the presence and depth of the environmental discourse included in each OR. A negative binomial regression analysis was used to measure the impact of the presence/depth of online environmental discourse in ORs on e-WOM helpfulness.

The findings indicate that the environmental discourse presence and depth influence positively e-WOM helpfulness. More specifically those travelers who write explicitly about environmental topics in their ORs are more likely to produce ORs that are voted as helpful by other consumers.

Implications highlight that both hotel managers and platform developers/managers should become increasingly aware of the importance that customer attach to environmental practices and initiatives and therefore engage more assiduously in environmental initiatives, if their objective is to improve online review helpfulness for other customers reading the focal reviews. Future studies might include more destinations and other operationalizations of environmental discourse.

This study constitutes the first attempt to capture how the presence and depth of hospitality services consumers’ environmental discourse influence e-WOM helpfulness on multiple digital platforms, by means of a big data analysis on a large sample of online reviews across multiple countries and destinations. As such it makes a relevant contribution to the area at the intersection between big data analytics, e-WOM and sustainable tourism research.

This study aims to explore how perceived usefulness and perceived ease of use affect users' sensory experience and behavioral experience in the metaverse context, and explore the significance of building a metaverse platform for companies, and provide management enlightenment for corporate development.

Data were collected from 329 online participants and analyzed using structural equation modeling and hierarchical regression.

Perceived usefulness and ease of use have a significant influence on customer sensory experience and behavioral experience in the metaverse. Sensory experience mediates the influence of perceived usefulness and availability on behavioral experience. Social presence positively moderates the influence of both usefulness and ease of use on sensory and behavioral experience. In other words, perceived usefulness and perceived ease of use in the metaverse situation affect sensory experience through social presence, and then affect behavioral experience.

This research clarifies the effect of usefulness and ease of use on customer sensory and behavioral experience. It confirms the positive moderating role of social presence and the mediating role of sensory experience in the influence pathway between perceived usefulness, ease of use, and behavioral experience. From the perspective of management, this study provides theoretical support for the positive impact of corporate metaverse platform building on customer brand experience in the future, and provides impetus for companies to pay attention to improving the usefulness and ease of use of their metaverse platform.

The purpose of this study is to investigate the effect of brand experiences through cafés or art spaces in luxury fashion flagships on consumers’ buying behavior toward authorized shopping channels.

Online questionnaires are used by adapting measurements from prior research. We test whether positive relationships exist between multi-faceted (i.e. sensory, emotional, intellectual, and relational) experiences, consumer’s revisiting intention toward the experiential spaces, and the purchase intention of luxury fashion goods from authorized channels, especially focusing on the mediation effect of the intention to revisit. We also include the experiential space type (cafés vs. art exhibitions) as moderator.

The results confirm that sensory, emotional, intellectual, and relational experiences in cafés or art exhibitions of luxury fashion flagships have a positive impact on the intention to revisit. This revisit intention to experience space has a significant effect on purchase intention from authorized shopping channels. Specifically, sensory experiences in an art space could lead to a positive revisit intention for consumers. Furthermore, relational experiences in cafés could create positive revisit intention in consumers.

This is the first study to compare consumers' perceptions by categorizing extended brand spaces and assessing experiential marketing for authorized shopping channels.

The purpose of this paper is to provide an efficient tool for simulating electrospinning process in virtual 3D space and optimizing experimental parameters. The fiber orientation from virtual or real electrospinning process can be easily measured using the image analysis technique. Using the semi-implicit Euler integration, the time integration can be more fast and stable, which enabled optimization of the electrospinning process. Also boundary conditions can be easily adopted during conjugate gradient matrix solving step.

To simulate the electrospinning process, the authors have adopted a particle-based modeling technique using the molecular dynamics theory, which is known to be suitable for modeling materials with nonlinear and nonhomogeneous behavior such as fibers or fabrics. Gravitational, tensional, and electrostatical forces and their Jacobians were carefully defined and chosen to maintain the stability of the governing equation. Preconditioned conjugate gradient method was used to solve the matrix iteratively with boundary conditions. The 2-D metaball fitting technique, which was applied in the previous research (Sul et al., 2009) on experimental nanofiber scanning electron microscopy images, was utilized with virtual nanofiber images. A staircase function and a new shading language were proposed to automatically calculate the orientation and radius distribution of the graphically simulated electrospun fiber structures. The automatic measurement procedure was verified via graphically designed virtual replica images. Also the orientation tendency acquired from the simulation was compared with that of experimental data.

Simulation result of fiber orientation showed linear relationship with the collecting drum speed. Use of particle-based method generated a simple system to simulate electrospinning process.

The semi-implicit Euler integration was applied to the electrospinning process and the final linear system was numerically stable to solve.

This study aims to examine the effects of contractual fairness and power sources on the relationship between the buyer and supplier on the innovation performance of the supplier. The mediating role of social capital accumulation between fairness, power and innovation performance was empirically explored.

Hypotheses were developed to investigate the relationships between supply chain fairness, power sources, social capital and innovation performance. Using structural equation modeling, the hypotheses were tested on data of 209 responses collected from supplying firms in South Korea.

This study finds that supply chain contractual fairness and referent power use contribute to the innovation performance of the supplier through social capital accumulation between the buyer and supplier. Coercive power, in contrast, impedes the performance improvement of the supplier.

This study provides supply chain practitioners, academics and policy-makers with guidance on how to facilitate and enhance innovation capabilities and performance across the supply chain. By applying social capital theory, this study also provides theoretical underpinning of the literature on supply chain fairness, power and innovation.