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In the 1947 article, The Mathematics of the Ideal Villa, Colin Rowe famously compared the spatial and geometric properties of buildings by two architects: Palladio and Le Corbusier. Many of Rowe's observations in this article have since been extensively debated but not rigorously tested. This paper examines Rowe's proposition that Palladio's villa plans possess greater intelligibility and cellularity than Le Corbusier's villa plans.

Two established computational techniques, axial line analysis and isovist analysis, are adopted in this paper to quantify and compare the properties of intelligibility and cellularity in the four villas that Rowe used to construct his argument: Malcontenta, Rotunda, Stein, and Savoye.

While acknowledging methodological limitations, the results of this paper do not support Rowe's claims, but they do lead to a unique quantitative examination of spatial configurations and properties of four famous villa plans.

This is the first paper to quantitatively examine Rowe's claims that Palladian villas possess greater intelligibility and cellularity than Le Corbusier's villas.

Fitness service companies often promote the companies' personal training service by attributing trainers' competent characteristics, qualifications or/and service provision to their effort or talent. This promotion is called performance attribution promotion. Utilizing attribution theory and the theory's adjacent studies, this study investigated whether and why performance attribution promotion affects consumers' service purchase of personal fitness training.

The authors developed the experimental stimuli of performance attribution promotion and validated those through a pretest (N = 200). Using the validated stimuli, the authors conducted an experiment with employing a single factor between-subject design (performance attribution promotion: effort vs talent) based on random assignment (N = 200).

The analysis results revealed that attributing trainers' competent characteristics, qualifications or/and service provision to effort (vs talent) leads to a higher level of service registration intention. Moreover, this effect was mediated by the perceived teaching expertise but not by the perceived teaching trustworthiness.

These findings enrich the literature by illuminating a new mechanism and consequence of performance attribution promotion. The authors' study also extends the marketing studies related to expertise perception by presenting the attribution of visible features as one of the characteristics determining expertise perception. Finally, the authors' findings also have implications for fitness service companies and other stakeholders that seek to effectively leverage trainers' competent outcomes for consumer acquisition.

This study aims to establish a comprehensive satisfaction analysis framework by mining online restaurant reviews, which can not only accurately reveal consumer satisfaction but also identify factors leading to dissatisfaction and further quantify improvement opportunity levels.

Adopting deep learning, Cross-Bidirectional Encoder Representations Transformers (BERT) model is developed to measure customer satisfaction. Furthermore, opinion mining technique is used to extract consumers’ opinions and obtain dissatisfaction factors. Furthermore, the opportunity algorithm is introduced to quantify attributes’ improvement opportunity levels. A total of 19,133 online reviews of 31 restaurants in Universal Beijing Resort are crawled to validate the framework.

Results demonstrate the superiority of Cross-BERT model compared to existing models such as sentiment lexicon-based model and Naïve Bayes. More importantly, after effectively unveiling customer dissatisfaction factors (e.g. long queuing time and taste salty), “Dish taste,” “Waiters’ attitude” and “Decoration” are identified as the three secondary attributes with the greatest improvement opportunities.

The proposed framework helps managers, especially in the restaurant industry, accurately understand customer satisfaction and reasons behind dissatisfaction, thereby generating efficient countermeasures. Especially, the improvement opportunity levels also benefit practitioners in efficiently allocating limited business resources.

This work contributes to hospitality and tourism literature by developing a comprehensive customer satisfaction analysis framework in the big data era. Moreover, to the best of the authors’ knowledge, this work is among the first to introduce opportunity algorithm to quantify service improvement benefits. The proposed Cross-BERT model also advances the methodological literature on measuring customer satisfaction.

Purpose: This study links SDG goal 9 of industry, innovation strategies and another infrastructural environment to branding relating to destination and interactive marketing. Digital marketing tools with various applications aim to offer hi-tech services to customers in interactive marketing services, namely multiple goods and services, data and innovative techniques in the tourism and travel sector. Exploring the study would add to the existing literature supporting interactive marketing procedures and destination branding. Branding relating to destinations fosters tourists around the globe facilitating economic growth and development and supporting the local economies.

Need for the Study: It is observed from the literature that very few studies have been identified across the globe from various researchers on the interactive marketing and destination branding that ensures brand loyalty and reassesses the intent of the tourists just before the epidemic pandemic in the form of COVID-19. Artificial Intelligence, as part of information technology, offers various interactive marketing services in the form of different social media marketing strategies, attractive websites for tourists and travel providers and image building on destination branding. This study would help fill the marketing gap, which results in branding relating to destination, brand loyalty and reassessing the intent of various tours and travel plans just before the pandemic.

Methodology: The study focused on the literature, demonstrating the stimulus organism methodology and examining the impact of potential marketing strategy, which is interactive focusing on the destination branding, loyalty relating to the brand and also procedures to revert with the intent that would motivate and facilitate the customer’s confidence showering the loyalty relating to the brand in the travel and tourism sector.

Findings and their Practical Implications: The study revealed that the marketing relating to interactive methodologies in the hi-tech digital approaches ought to be carried out to create opportunities for prospective tourists willing to get information about various tourists destinations with the help of various marketing techniques such as different social media applications, easy access of websites for accessing the tourist destinations and relevant information, accessing images pertinent to the tourism destinations with the ease of chat box and providing suitable audios and video sources to the potential customers.

This paper aims to investigate the effects of virtual reality experiences (VREs) and emotions on holiday destination visit intentions by applying the stimulus-organism-response (S-O-R) framework. It also examined the role of amateur photography as a moderator in the relationship between VREs, emotions and visit intentions.

Primary data were collected through a structured survey questionnaire administered in India, and structural equation modelling (SEM) was used to examine relationships among variables. The formal survey was preceded by a pilot study. The partial least squares-SEM product indicator technique was applied to measure the moderation effect of amateur photography.

When people have high levels of positive emotions in the pre-travel stage with VRE participation, their intentions to visit destinations are stronger. Amateur photography moderated the relationships between user interactivity, memorable experiences, mental imagery and visit intentions. No significant moderating effect was found between emotional experiences and visit intentions.

The results indicate that creators of virtual reality (VR) communications should concentrate on producing interactive and visually striking VR content, as the research found that VR experiences with tourism-related activities have a significant impact on potential visitor emotions. Therefore, VR producers should incorporate authentic and distinctive elements into contents, giving viewers realistic and trustworthy VR tourism experiences. Destination marketers should evoke emotions in people to increase motivations to visit the VR-presented places. Destination marketers should create VR content with hedonic elements, fostering a connection and desire to visit the destination presented in the VR. For example, destination marketers can enhance the sensory aspects of VR content with audio, video, haptics and artificial intelligence, encouraging people to be emotionally captivated and fully immersed. The findings indicate that amateur photography has a significant moderating effect on prospective tourists’ intentions to visit a place presented in VR. Thus, destination marketers are advised to provide photogenic and relevant content to users. By using amateur photography, destinations can market their attractions to potential visitors in a more interactive and relatable manner. Showcasing images taken by amateur photographers presents a genuine perspective of the offerings, thereby increasing visit intentions among prospective visitors. Additionally, amateur photography helps promote the destination in a positive light, emphasizing the attractions and other offerings, and this encourages potential visitors to consider the destination as a travel option, thereby increasing visit intentions. Encouraging amateur photographers to take and share images also increases their engagement with the destination, creating a sense of community and connection and ultimately driving visit intentions. Destination marketers should embrace VR tourism content as a means of promoting their destinations to potential customers by considering the three crucial elements of memorable experiences, emotional experiences and mental imagery. In essence, destination management organizations and other decision makers should develop complete VR communication plans that incorporate interactive and visually striking activities. This can be done by creating VR experiences for prospective tourists, which will enable them to pick their preferred destinations at the pre-travel stage. Through this approach, an effective destination marketing strategy can be established.

This research has value in making several potential contributions to the tourism applications of VR. It is the first study to use and test the S-O-R framework to analyse tourist behaviour from the perspective of emotions generated by VR applications. The analysis focuses on India’s tourism market, which has not been explored much in the context of VR and from the perspective of a developing country. The research emphasizes the use of VR as a tool to understand tourist behaviour rather than just focusing on visit intentions. The findings provide valuable insights into the importance of VR in tourism. The knowledge generated will contribute to the understanding of the impact of VR experiences on emotions and visit intentions and the moderating effect of amateur photography. It has practical implications for destination marketers in developing effective marketing strategies that enhance tourists’ emotions and motivate visit intentions.

本研究运用刺激-机体-反应(S-O-R)框架, 探讨虚拟现实体验（VREs）和情绪对度假目的地旅游意向的影响。还研究了业余摄影在VREs、情感和访问意图之间的关系中的调节作用。

通过在印度进行的结构化调查问卷收集原始数据, 并使用结构方程模型(SEM)来检查变量之间的关系。在正式调查之前进行了一项试点研究。采用PLS-SEM结果指标方法测量业余摄影的调节效果。

当人们在旅行前的VRE参与阶段拥有高水平的积极情绪时, 他们访问目的地的意愿会更强。业余摄影调节了用户交互性、纪念体验、心理意象和访问意图之间的关系。情绪体验与访问意向之间无显著调节作用。

本研究对虚拟现实的旅游应用有几个可能的贡献。这是第一个使用并测试刺激-生物-反应(S-O-R)框架的研究, 从VR应用产生的情感角度分析游客行为。分析集中于印度的旅游市场, 而在VR的背景下和从一个发展中国家的角度来看, 印度的旅游市场还没有得到太多的探索。该研究强调将VR作为一种了解游客行为的工具, 而不仅仅是关注游客的意图。这些发现为VR在旅游业中的重要性提供了有价值的见解。所产生的知识将有助于理解VR体验对情绪和访问意图的影响以及业余摄影的调节作用。这对目的地营销人员制定有效的营销策略, 增强游客的情绪和激发旅游意图具有实际启示。

Esta investigación analizó los efectos de las experiencias de realidad virtual (VREs) y las emociones en las intenciones de visita a destinos vacacionales aplicando el modelo estímulo-organismo-respuesta (S-O-R). También examinó el papel de la fotografía amateur como moderador en la relación entre las VREs, las emociones y las intenciones de visita.

Los datos primarios se recogieron mediante una encuesta con cuestionario estructurado administrado en la India, y se utilizó la modelización de ecuaciones estructurales (SEM) para examinar las relaciones entre las variables. La encuesta principal fue precedida de un estudio piloto. Se aplicó la técnica PLS-SEM para medir el efecto moderador de la fotografía amateur.

Cuando las personas poseen un alto nivel de emociones positivas en la etapa previa al viaje con participación en VRE, sus intenciones de visitar destinos son más fuertes. La fotografía amateur moderó las relaciones entre la interactividad del usuario, las experiencias memorables, las imágenes mentales y las intenciones de visita. No se encontró ningún efecto moderador significativo entre las experiencias emocionales y las intenciones de visita.

Esta investigación tiene el valor de hacer varias contribuciones potenciales a las aplicaciones turísticas de la realidad virtual. Es el primer estudio que utiliza y pone a prueba el marco estímulo-organismo-respuesta (S-O-R) para analizar el comportamiento de los turistas desde la perspectiva de las emociones generadas por las aplicaciones de RV. El análisis se centra en el mercado turístico de la India, poco explorado en el contexto de la RV y desde la perspectiva de un país en desarrollo. La investigación hace hincapié en el uso de la RV como herramienta para comprender el comportamiento de los turistas, en lugar de centrarse únicamente en las intenciones de visita. Las conclusiones aportan valiosas ideas sobre la importancia de la RV en el turismo. Los conocimientos generados contribuirán a comprender el impacto de las experiencias de RV en las emociones y las intenciones de visita, así como el efecto moderador de la fotografía amateur. Se presentan implicaciones prácticas para los responsables de marketing de los destinos turísticos a la hora de desarrollar estrategias de marketing eficaces que potencien las emociones de los turistas y motiven las intenciones de visita.

This study aims to integrate reviewers’ and readers’ discrepant perspectives on extremely negative reviews. Specifically, this study examines the relationship between negative emotion intensity levels and reviews helpfulness on two platforms: integrated websites and social networking sites (SNS) to emphasize the role of platform types on customers’ purchase decisions.

This research adopts a mixed-method approach of business intelligence approach and quasi-experimental design. Study 1 performed text mining and Welch’s t-test to compare reviewers’ negative emotion intensity levels on two platforms. Study 2 adopted a 2*2 factorial quasi-experimental design to examine how intense negative emotions impact the perceived reviews helpfulness on two platforms. A 3*2 factorial design in Study 3 also tested social tie strength’s moderating effect between the intensity of negative emotions and review helpfulness.

The current study reveals that integrated website reviewers tend to express more extreme negative emotions than SNS reviewers. SNS and integrated website readers deem reviews that embed severe negative emotions as less helpful. The moderating role of social tie strength between extremely negative emotions on review helpfulness was insignificant in the study.

This study enriches the online review literature by comparing writers’ and readers’ perspectives on online reviews with extremely negative emotions across two online platform types: integrated websites and SNS. From the writers’ perspective, this study highlights anonymity and the presence of an audience as essential factors that reviewers consider in selecting an online review platform to express themselves. This research also sheds light on how readers’ perspectives on extremely negative reviews conflict with the presumptions of writers of extremely negative reviews on integrated websites by demonstrating that content embedding extremely negative emotions is less helpful regardless of platform type.

This research provides online negative review management strategies to platform and hotel managers. The findings suggest hotel and review platform managers should consider adopting review alignment or monitoring systems based on negative emotions intensity levels since readers on both platforms perceive reviews embedding extremely negative emotions as less helpful. Additionally, hotel managers can progress promotions to guests who share online reviews on SNS since SNS reviewers are more likely to attenuate their extremely negative emotions when writing reviews.

This research innovatively provides a comprehensive overview of negative reviews’ production and consumption process from reviewers’ and readers’ perspectives. This research also provides practitioners insight into the nature of two different platform types and the management of negative reviews on these platforms.

This paper aims to provide a case study of complex conflict management within the arms race on the Korean Peninsula. Exploring the complex nexus of nuclear weapons, asymmetry and a qualitative arms race, the study explains how the arms race between Seoul and Pyongyang has promoted stability on the Korean Peninsula.

Presenting the limits of arguments that the US security guarantee is the factor that saved the two Koreas from going to war again, this paper explores the utility of the inter-Korean arms race as a stabilizer that promotes indirect negotiations. While presenting Korean anomalies, this paper analyzes the three stages of the inter-Korean arms race – especially its nuclear weapons, its asymmetry and the nature of arms races – and provides extant explanations on the causes and consequences of the qualitative arms race. These key elements drive the states’ strategic motives.

Using the case of the inter-Korean qualitative arms race and US extended nuclear deterrence on the Korean Peninsula, the study shows the complexities of conflict management today. This paper identifies three contributing factors – US nuclear weapons, asymmetry and the qualitative characteristic of the arms race – to explain the enduring stability on the peninsula despite the arms race’s intensification. The paper finds that although US nuclear-extended deterrence plays a critical role, it does not capture the full context of the ongoing, dynamic inter-Korean arms race; a prolonged arms race between the two Koreas has become a new regularity; the qualitative characteristic of the inter-Korean arms race, which is driven by technological advancement, contributes to stability in the arms race; and as the constant mismatch in priority technologies becomes more severe, the changes to the existing asymmetry could increase instability.

This paper offers a diverse perspective to the literature on conflict management and captures the complexities of 21^st-century conflict management. Through a thorough examination of the inter-Korean arms race, it brings readers’ attention to the nested dynamics within the arms race and shows how an intensifying arms race can promote stability. Furthermore, the paper explains the implications for potential instability – fueled by the comprehensive mix of a dynamic qualitative arms race and the US extended nuclear deterrence – in the Indo-Pacific region.

Pricing studies have largely focused on sellers' pricing strategies and price determinants. To expand earlier work on sellers' pricing decisions, this study considers time as a major factor driving sellers' ticket prices in the secondary market. Specifically, because most secondary market transactions occur in the last moments before a game, this study considers how resellers adjust ticket prices within a few days prior to a game day including an actual game day.

To examine the impact of time on secondary market ticket prices for Major League Baseball (MLB), ticket prices were collected from StubHub (one of the largest secondary ticket markets) four times per game: from 3 days to 1 day prior to a game day and on the actual game day. Additionally, 10 control variables were obtained from previous research on price determinants (N = 19,155). A multiple regression model was created based on the extant literature regarding secondary market ticket prices.

Results indicate the number of days before a game negatively influenced ticket prices: resellers decreased ticket prices consistently during the last few days prior to a game's first inning. Specifically, secondary market ticket prices decreased relatively dramatically on an actual game day. Time had no significant effects on ticket prices 2 days prior to a game day. In addition to the role of time, league affiliation and the number of all-star players were identified as key price determinants in the secondary market. Moreover, changes in weather forecasts and the home team starting pitcher's ERA played significant roles in price changes.

Despite containing a relatively high number of data observations compared with prior pricing studies, this study's findings were limited to certain teams. Additionally, as only MLB secondary market ticket pricing was considered, different outcomes and implications may apply in other major sport ticket markets (e.g. NBA, NFL, NHL and MLS) featuring distinct league structures, policies and demand.

This study offers practical guidance for sellers' pricing decisions. Most secondary ticket market sellers lowered their ticket prices relatively dramatically on an actual game day. Reducing ticket prices prior to a game day can lead to greater chances to avoid unsold tickets that compromise revenue management. This study's results also afford professional sport organizations and secondary ticket market consumers a clearer understanding of the factors resellers consider when setting ticket prices.

Although previous studies have uncovered essential elements influencing ticket prices and consumer demand in the secondary ticket market, little work has examined how time affects sellers' pricing decisions within a few days prior to a game day. Little is known about the elements that significantly influence sellers’ decisions to adjust (i.e. increase or decrease) ticket prices in the secondary market as well. This topic deserves ongoing attention, as new outcomes can supplement previous studies' findings due to changing market environments.

This study aims to investigate potential tourists’ behaviour regarding visiting and recommending a destination based on an image derived from a virtual reality (VR) model, including motivations for travel and place attachment.

The study had two phases and used both qualitative and quantitative methodological approaches. The qualitative approach consisted of a focus group conducted to obtain the most important attributes of the destination image. The quantitative approach, which consisted of a self-administered questionnaire, was distributed to all the participants following a VR experience to provide data to empirically test the hypotheses proposed in the conceptual model.

Motivations for travel positively influence the image of a destination in both its cognitive and affective dimensions. Also, the cognitive dimension of destination image influences affective dimension of destination image and both dimensions affect overall destination image. Moreover, destination image, cognitive dimension and affective dimensions influence place dependence and identity. In turn, place dependence and place identity positively influence intention to visit the destination, but not intention to recommend it. Finally, intention to recommend the destination is positively influenced by the intention to visit the destination.

Due to the complexity of the overall experience, the sample was selected purposefully, and all participants belong to Generation Z. Extending this study to other generations would also be valuable.

Although the utility of VR for tourism marketing purposes has been one of the most researched areas during recent years, factors that could encourage tourists to visit destinations previously displayed in VR are not yet identified.

This study aims to use the extended model of goal-directed behavior (EMGB) to examine the interaction between wine purchasing motivations and prior knowledge and their impact on consumers’ wine purchase intentions and decisions.

The survey was conducted in large discount retail stores in South Korea, and structural equation modeling analysis reveals EMGB’s strong predictive ability to understand wine buying behavior.

Notably, the findings reveal that social life and enjoyment motivations play a significant role in shaping consumers' attitudes. In addition, positive emotions, attitudes, prior knowledge, subjective norms and negative anticipated emotions all have a positive effect on desire, while desire, prior knowledge and frequency of past behavior have a significant impact on behavioral intention. Contrary to previous studies, celebration motivation has no significant effect on attitude and perceived behavioral control has no significant effect on desire and behavioral intention.

The findings provide practical insights for marketers to conduct targeted wine marketing campaigns and increase consumers' intention to purchase wine.

This study furthers the understanding of the complex mechanisms involved in shaping the intention to purchase wine using the EMGB framework.