Search results

This paper aims to investigate how competition among online auction sellers influences the setting of both open and secret reserve prices, thereby affecting auction outcome.

Using a data set collected from eBay consisting of 787 identical product auctions, three empirical models have been proposed. Model 1 simultaneously estimates the effects of auction competition on a seller’s own open and secret reserve price strategies; Model 2 estimates the effects of auction competition on bidder participation; and Model 3 estimates the direct and indirect effects of auction competition on selling price.

Competition among sellers is central to shaping sellers’ reserve price strategies. When there are more concurrent auctions for identical items, sellers tend to specify a low open reserve and are less likely to set a secret reserve. Sellers are strongly influenced by competitors’ reserve price strategies, and tend to follow competition. Finally, auction competition and competitive reserve price strategies influence both bidder entry and selling prices.

This study has important implications for both sellers and bidders. It highlights the importance for sellers to adapt their reserve price strategies in light of their competitors’ reserve price strategies and offers implications for bidders regarding auction selection. An auction with low starting bid does not necessarily lead to a lower selling price as it attracts more bidders.

This paper focuses on competition among auction sellers, whereas previous literature has focused on competition among bidders. This paper is the first to study the impact of competing reserve prices in auctions.

The purpose of this paper is to investigate how revelations of corporate misconduct are associated with trade credit. Specifically, it investigates how this association varies in different regions, in different types of industries and in response to companies’ subsequent charitable donations.

The authors empirically tested various hypotheses using a sample of 2,725 Chinese A-share listed companies from 2009 to 2014 based on signaling theory. Fixed effect models underpinned the methods used.

The authors found that corporate misconduct has a significant negative impact on an irresponsible company’s trade credit received and granted, and the negative impact is heterogeneous for different regions and industries. There is no evidence that charitable donations mitigate the effect on the trade credit of irresponsible companies following revelations of corporate misconduct.

The results suggest that listed companies in China should obey national and local laws and regulations if they wish to avoid the risk of significant trade credit loss. If a company’s violation of these laws and regulations is disclosed, making charitable donations is not an effective strategy for safeguarding trade credit.

This study enriches understanding on the consequences of corporate misconduct and extends the literature on trade credit. It fills a research gap by identifying the impact of corporate misconduct on trade credit.

The data sample used in this study is composed of 2,638 Chinese tourists who have travel experiences to the South Pacific region. This study examines the effects of memorable tourism experiences, destination cognitive and affective images, and satisfaction on revisit intention and their mechanisms from a cognitive–affective perspective. Results show that destination cognitive image, destination affective image, and satisfaction, respectively, play a mediating effect on the relationship between memorable tourism experiences and revisit intention. Memorable tourism experience is the most important predictor of revisit intention, and it mainly affects the cognitive image of a destination. In line with previous studies, this research has shown that memorable tourism experiences have significant impact on the destination image and tourists' revisit intention, which can provide significant implications for tourism practitioners and destination managers in the South Pacific islands.

The authors consider a dynamic emission-reduction technology investment decision-making problem for an emission-dependent dyadic supply chain consists of a manufacturer and a retailer under subsidy policy for carbon emission reduction. The consumers are assumed to prefer to low-carbon products and formulate a supply chain optimal control problem.

The authors adopt differential game to analyze investment strategies of cost subsidy coefficient with respect to vertical incentive of a manufacturer and a retailer. A comparison analysis under four different decision-making situations, including decentralized decision-making, centralized decision-making, maximizing social welfare, is obtained.

The results show that the economic benefit and environmental pressure have a win–win performance in centralized decision-making. In four different game models, equilibrium strategies, profits and social welfare show changing diversity and have a consistent development trend as time goes on.

The authors estimate the demand function is a linear function in this paper. According to the consumers’ preference to low-carbon products, consumer’s awareness meets the law of diminishing marginal utility like advertising goodwill accumulation. The carbon-sensitive coefficient might be a quadratic expression, which will complicate the problem and be consistent with reality.

It captures that there is a necessity to strengthen cooperation and exchange of carbon emission technology among the enterprises by simulation of different decision-makings when government granted cost subsidy.

The results provide significant guidelines for the supply chain to make decision-makings of emission-reduction technology investment and relevant government departments to determine emission subsidies costs.

An endogenous subsidies coefficient is produced by the social welfare function. Distinguished from previous study, it also considered the influences of carbon emission trade policy and consumer preference.

This study aims to explore the relationships among destination brand equity, brand authenticity and revisit intention. The mediating role of tourist satisfaction and the moderating role of destination familiarity in these relationships are also investigated.

Based on the stimulus–organism–response theory, a structural equation model was constructed to test the relationships among the study variables. The original data was obtained using a questionnaire survey method from domestic tourists who have traveled to Guilin in China.

The findings revealed that brand equity and brand authenticity not only positively and directly affect revisit intention but also have an indirect influence on revisit intention through the mediating role of tourist satisfaction. Destination familiarity positively moderates the direct influence of brand equity on revisit intention. Furthermore, brand authenticity significantly and positively affects brand equity.

The findings of this study provide a certain enlightenment for brand marketing and tourist destination management.

This study reveals the impact path of brand equity and brand authenticity on revisit intention, compensating for the lack of attention on impact mechanism among them. This study proves the impact of brand authenticity on destination brand equity. This compensates for the deficiencies that ignore possible antecedents affecting destination brand equity and the impact of brand authenticity on brand equity in the context of tourism destination. This study also confirms the specific dimensions of brand equity and brand authenticity in the context of Chinese tourism destinations in response to the current controversy.

旅游目的地品牌资产、品牌真实性与重游意愿: 游客满意度的中介作用与目的地熟悉度的调节作用

摘要

本研究致力于探究旅游目的地品牌资产、品牌真实性与重游意愿之间的关系。本文也研究了游客满意度在这些关系中所起的中介作用以及目的地熟悉度的调节作用。

本文以刺激-机体-反应理论为基础, 通过构建结构方程模型来对变量之间的关系进行检验。原始数据是通过问卷调查法从曾在桂林旅游的国内游客中获得。

目的地品牌资产和品牌真实性在直接正向影响重游意愿的同时, 还通过游客满意度的中介作用来间接影响重游意愿。目的地熟悉度在品牌资产对重游意愿的直接影响中起着正向调节作用。此外, 目的地品牌真实性对品牌资产起着显著正向影响。

本研究揭示了目的地品牌资产与品牌真实性对重游意愿的影响路径, 弥补了对其中影响机制关注不足的缺陷。本研究证实了旅游目的地背景下品牌真实性对品牌资产的具体影响, 弥补了现有文献较少关注影响目的地品牌资产的可能前因以及旅游目的地背景下品牌真实性对品牌资产具体影响的不足。此外, 本研究以中国旅游目的地为研究背景, 证实了品牌资产与品牌真实性的具体维度, 回应了当前的争议。

本研究结论对旅游目的地品牌营销与管理提供一定的启示。

Valor de marca de destino turístico, autenticidad de marca y voluntad de volver a visitar：El papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino

Resumen

este estudio tiene como objetivo explorar las relaciones entre el valor de la marca de destino, la autenticidad de la marca y la intención de volver a visitar. También se investiga el papel mediador de la satisfacción del turista y el papel moderador de la familiaridad con el destino en estas relaciones.

con base en la teoría Estímulo-Organismo-Respuesta, se construye un modelo de ecuación estructural para probar las relaciones entre las variables de investigación. Los datos originales se obtienen mediante el método de encuesta por cuestionario de turistas nacionales que han viajado a Guilin en China.

los hallazgos revelaron que el valor y la autenticidad de la marca no solo afectan positiva y directamente la intención de volver a visitar, sino que también tienen una influencia indirecta en la intención de volver a visitar a través del papel mediador de la satisfacción del turista. La familiaridad con el destino modera positivamente la influencia directa del valor de la marca en la intención de volver a visitar. Además, la autenticidad de la marca afecta de manera significativa y positiva al valor de la marca.

este documento revela el camino del impacto del valor de marca y la autenticidad de la marca en la intención de volver a visitar, compensando la falta de atención al mecanismo de impacto entre ellos. Este trabajo demuestra el efecto de la autenticidad de la marca en el valor de la marca del destino, que compensa las deficiencias que ignoran los posibles antecedentes que afectan el valor de la marca del destino y el impacto de la autenticidad de la marca en el valor de la marca en el contexto del destino turístico. Este estudio también confirma las dimensiones específicas del valor de marca y la autenticidad de la marca en el contexto del destino turístico chino, respondiendo a la controversia actual.

los hallazgos de este documento proporcionan cierta iluminación para el marketing de marca y la gestión de destinos turísticos.

Digital tourism has drawn the attention of researchers around the globe. This study aims to assess the digital tourism experience for tourist site revisit from an emerging market perspective.

Anchored on the social cognitive theory, the study employed a quantitative method, using the convenience sampling to select 328 participants who responded to tourism and technology sharing items through an online questionnaire. The study's hypotheses were tested utilizing structural equation modelling.

The results suggest a significant influence of technology-based service innovativeness on service value, tourist site revisits and experience sharing through technology. Further, the findings also revealed the significant influence of service value on tourist site revisit and experience-sharing through technology.

This study was conducted with only clients or tourists, and this limits generalization of the study's findings.

The study offers the understanding of how tourist site operators and all stakeholders have to deploy new ways of technology-based service innovation to get maximum return on their investment in the hospitality industry.

The outcome of this research advanced the linkage between technology and tourism in context, which is important to policymakers and practitioners in the sector.

The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.

The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).

The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.

This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.