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Distance is the core concept in tourism. However, previous studies focused on single distance dimensions and generated contradictory findings due to omitted variable biases. This paper aims to introduce the well-established CAGE (cultural, administrative, geographical, and economic) distance framework into international tourism research to measure the comprehensive distance and explore its impact on inbound tourist satisfaction.

The comprehensive distance was calculated based on the Mahalanobis formula. Combining tourist review data from TripAdvisor, this study used ordinary least square regressions to explore the influence of the comprehensive distance on inbound tourist satisfaction and the mediating role of inbound tourist emotion.

Results show that CAGE distance effectively describes the dynamic change in distance. The comprehensive distance also positively impacts tourist satisfaction, and tourist emotion plays a mediating role in this impact.

This paper advances knowledge about distance in international tourism by introducing the CAGE distance framework and addresses the contradictory findings with specific distance dimensions by the comprehensive distance.

距离是旅游的核心概念。然而, 以前的研究集中在单一的距离维度上, 并且由于遗漏变量偏差而产生了相互矛盾的结果。 本文旨在将成熟的 CAGE 距离框架引入国际旅游研究中, 以衡量综合距离并探讨其对入境游客满意度的影响。

综合距离根据马氏距离公式计算。 结合TripAdvisor网站的游客评论数据, 采用普通最小二乘（OLS）回归分析综合距离对入境游客满意度的影响以及入境游客情绪的中介作用。

结果表明, CAGE距离有效地描述了距离的动态变化。 综合距离也正向影响游客满意度, 游客情绪在此影响中起中介作用。

本文通过引入 CAGE 距离框架来提升国际旅游中的距离知识。 本研究还通过综合距离解决了特定距离维度的矛盾发现。

La distancia es el concepto central en el turismo. Sin embargo, estudios previos se han centrado en dimensiones de una sola distancia, generando resultados contradictorios debido a los sesgos por la omisión de variables. Este trabajo tiene como objetivo introducir el marco de distancia CAGE, establecido en la investigación turística internacional, con la intención de medir la distancia integral y explorar su impacto en la satisfacción del turista receptor.

La distancia integral se calculó con base en la fórmula de Mahalanobis. Combinando los datos de reseñas turísticas de TripAdvisor, se utilizaron regresiones de mínimos cuadrados ordinarios (OLS) para explorar la influencia de la distancia integral en la satisfacción del turista receptor y el papel mediador de la emoción del turista receptor.

Los resultados muestran que el modelo CAGE describe el cambio dinámico en la distancia de una forma efectiva. La distancia integral también impacta positivamente en la satisfacción del turista, y la emoción del turista juega un papel mediador en este impacto.

Este documento avanza en el conocimiento sobre la distancia en el turismo internacional mediante la introducción del marco de distancia CAGE. Además, aborda resultados contradictorios con las dimensiones de distancia específicas mediante la distancia integral.

The purpose of this paper is to propose the grey target decision method based on three-parameter interval grey number for dealing with multi-attribute decision-making problems under uncertain environment.

First, the kernel and ranking method of three-parameter interval grey number are defined, which is the basis of determining the positive and negative bull’s-eye. Next, a new distance measure of three-parameter interval grey number is defined in view of the importance of the “center of gravity” point. Furthermore, a new comprehensive bull’s-eye distance is proposed based on the kernel which integrates the distance between different attributes to the positive and negative bull’s-eye. Then attribute weights are obtained by comprehensive bull’s-eye distance minimum and grey entropy maximization.

The paper provides a grey target decision method based on three-parameter interval grey number and example analysis shows that the method proposed in this paper is more reasonable and effective.

If we have a better understanding of the distribution characteristics of three-parameter interval grey number, it is possible to have a more reasonable measure of the distance of three-parameter interval grey number.

The paper provides a grey target decision method, which can help decision maker deal with multi-attribute decision-making problems under uncertain environment.

This paper proposed the kernel and ranking method of three-parameter interval grey number, and defined a new distance measure of three-parameter interval grey number and proposed a new comprehensive bull’s-eye distance, Furthermore, this paper structured a grey target decision method based on three-parameter interval grey number.

Three-parameter interval grey numbers (TPIGNs) have been extensively studied as an extended form of interval numbers. However, most existing TPIGN multi-attribute decision-making methods only consider the similarity of positions, ignore the similarity of developmental directions and focus primarily on static evaluation. To address these limitations, in this study, the authors propose a dynamic technique for order preference by similarity to an ideal solution (TOPSIS) based on modified Jaccard similarity and angle similarity for TPIGNs.

First, the authors extend Jaccard similarity to a TPIGN environment to represent positional similarity. A simple example is provided to illustrate the limitations of the traditional Jaccard similarity. Then, the authors introduce an angle similarity measure to represent developmental directional similarity. Finally, a dynamic TOPSIS model is constructed by incorporating time-series data into conventional two-dimensional static data. Stage weights are obtained by an objective function designed to maximize the amount and minimize the fluctuation of decision information. A quadratic weighting method is adopted to derive the overall evaluation value of alternatives.

To evaluate the effectiveness of the proposed method, this study takes the pre-assessment of ice disaster and the selection of cooperative enterprises as examples. The authors then provide the results of comparative and sensitivity analyses, which demonstrate the effectiveness and flexibility of the proposed method.

The proposed TOPSIS method in a TPIGN environment can take a more holistic and dynamic perspective for decision-making, which helps mitigate the limitations of single-perspective or static evaluations.

During the past several decades, national distance (ND) increasingly became a vital cornerstone in international business (IB) research, as both explicit and implicit distance are parts of the essential reasons for IB activities. However, there are various and chaotic methods to measure ND in the last literature; therefore, this paper aims to suggest legitimate uses of ND in the IB field and the best ND dimensions for various situations.

This paper used a historical overview of the theoretical background and conceptual development of ND based on the past four decades worth of studies in leading 17-IB journals using Google Scholar. The authors also focus on multiform ND measurement methods and details through qualitative and quantitative analysis based on previous studies’ data collection.

This research summarized the common measurement methods and elements of different ND and proposed solutions based on a multifaceted analysis.

The micro analysis examines each type of ND in terms of the proportion of variables, issues, measurement methods, representative proxies beyond previous studies. This research also tried to provide clarity and suggest solutions to these problems through our macro& micro-analysis.

The purpose of this paper is to present a new method about dynamic decision problems with three-parameter grey numbers from other angle of view which not only aggregates the attribute values of alternatives of all the periods, but also excavates changes of attribute values about alternatives between the adjacent periods.

The authors adopt grey target method to calculate the distance between every alternative and the best, worst bull’s eye, the distance between change series and the best, worst change bull’s eye, then both distances can be aggregated to reflect information about two aspects.

This dynamic decision-making method not only aggregates the existing state of alternatives all of the stages, but also excavates the change information from vertical and horizontal direction, the decision result conforming to decision maker’s psychological behavior is obtained though adjusting the priority parameter.

The paper considers on change of alternative’s attribute values from one period to the next period, and the dynamic characteristic has been reflected adequately. The grey target decision-making method reflects the distance between alternative and bull’s eye, the comprehensive target distance between alternative and positive, worst bull’s eye about change series are separately provided. And the final target distance reflecting both existing state and change trend is constructed.

The paper is in the domain of marketing strategies of multinational firms. Specifically, it aims to focus on target market selection of multinational firms.

Using the cultural, administrative, geographic, and economic distance framework proposed by Ghemawat, the authors offer empirical support for the role of different distance factors on firms' foreign market acquisition behavior. In addition, they examine the moderating role of market potential of a target country on the relationship between distance factors and target market selection. The context of the paper is multinational firms from developing countries. The sample consists of cross‐border acquisitions (CBAs) completed by firms from 18 emerging countries between 1990 and 2006. The authors use ordinary least squares and moderated regression analysis to determine the main effect of distance factors and the interaction effect of market potential.

The authors find that while cultural and geographic distance factors have a significant, negative impact on the number of CBAs, administrative and economic distances have a significant, positive effect. They also find that the market potential of target countries significantly moderates the relation between the distance factors and the number of CBAs.

The results show that the market potential of countries compensates and sometimes even overrides the role of distance. Future studies should expand this research to include industry‐specific factors.

The paper provides an empirical illustration of Ghemawat's distance framework. In addition, the paper highlights several boundary conditions of the impact of distance factors on firms' internationalization processes. Finally, the study enhances knowledge on foreign market entry behavior of firms from developing countries.

The past two decades have witnessed the rapid developments in distance education. Though debates surrounding issues related to distance education have yet abated, more and more institutions, entrepreneurs, educators, and learners embrace distance education with the aid of improved information technologies. The present guide introduces the historical development, major theories, and leading agencies and organizations associated with the discipline. Furthermore, it provides an annotated selection of resources including periodicals, books and monographs, and Internet sites. Though emphasis is placed on representative resources and information of distance education of the USA, important international resources are also analytically introduced.

Distance learning has proliferated significantly in the last 20 years. This chapter considers some of the issues and implications when teaching and learning moves from an in-person to a distance mode. It begins with a brief history of distance learning, considering both the technologies used and the dominant pedagogical approaches employed. This is followed by a survey of the impact of Michael Moore's theory of transactional distance, which considered the consequences of separating the learner from peers and instructor. Contemporary work on Moore's contribution includes transaction and participation, activity theory, and transactional presence. A second major aspect of distance learning has been the attempt to introduce social presence into learning environments. The history of social presence is explored, as are its levels and consequences for the learner. Contemporary aspects of social presence reviewed include communities of inquiry. While Web 2.0 has spectacularly resulted in connectivity, it remains unclear as to whether this automatically resulted in more strongly connected learners. Connectivist approaches are considered and distinctions made between technological connectivity and pedagogical engagement. It is argued that the full and exciting potential of Web 2.0 in distance learning requires a commitment to the distanced learner, balancing learner autonomy and teacher presence, promoting meaningful social engagement, and meeting the specific needs of the distance learner.

The purpose of this paper is to study the essential characteristics of grey relational degree of proximity, to analyse the abstract meaning of grey relational degree of similarity and fully consider the two different relational degree models.

The paper constructed the grey proximity relational degree by using the weighted mean distance. To analyse the motivation of the development of things, this paper constructed the grey similarity degree by using the concept of induced strength. Finally, the two correlation models are weighted by reliability weighting.

The research finding shows that the distance is the essence of the grey relational degree of proximity, and the induced strength is a good explanation of the similarities in the development of things.

The analyses imply that the total amount of water consumption in China has the greatest correlation with the consumption of agricultural water resources, followed by the consumption of industrial water resources, and the least correlation with the consumption of domestic water resources.

The paper succeeds in realizing the essential characteristics of grey relational degree of proximity and the abstract meaning of grey relational degree of similarity. Besides, the resolution of the correlation degree can be greatly improved by reliability weighting.

In responding to the Coronavirus (COVID-19) pandemic, drastic public health measures such as social distancing and lockdowns have been implemented across the globe to slow the spread of the virus. In the USA, the public's reaction to social distancing has been mixed, evident in a high number of people flocking to beaches, bars and shops as coronavirus cases soar. Public health officials have issued strong warnings about the danger people face but the problem persists. To fill this gap, informed by the theory of planned behavior (TPB), this research explores why many people refuse to practice social distancing.

Two studies were conducted during the ongoing COVID-19 pandemic. In the first study, a sample of 750 respondents was recruited from a US online consumer panel to complete a structured survey questionnaire. The data were analyzed using confirmatory factor analysis and structural equation modeling. In the second study, an open-ended questionnaire was administered to 50 US online participants to further uncover people's in-depth perceptions and perspectives toward the pandemic and social distancing. Thematic analysis was used to analyze the data.

The results from the first study show that risk-taking attitude, authoritarianism and subjective norm are significant predictors of social distancing intention and behavior, through perceived severity of COVID-19. Four themes emerged from the second study, which are consistent with the proposed conceptual framework in the first study.

Theoretically, the authors’ findings first contribute to the emerging marketing literature that focuses on creating sustained positive changes and improving the well-being of consumers, communities and societies. Secondly, their findings corroborate with previous findings documented in the social influence literature by showing that during the times of uncertainty and confusion such as COVID-19, social norms (not forced by laws and regulations) play the most critical role in influencing a voluntary, socially beneficial behavior (such as social distancing). Third, this study extends the application of the TPB into the realm of social distancing behavior. The three main components of the TPB, namely attitude, behavioral control and subjective norm, are shown to predict social distancing behavior. Practically, the results of this research have important implications for public health policies on how to encourage positive public health behavior amid pandemics such as COVID-19.