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This study aims to investigate how brand love and brand loyalty for three brands evolved during critical moments of the 2020 pandemic, and how they performed in the long run up to 2022.

An online longitudinal study, including a survey and Twitter data for three brands: Corona Extra, with a direct semantic association with the word coronavirus; Virus Vodka, with an indirect association; Modelo Especial, with no association with the virus name but from the same company as Corona Extra.

Despite external data indicating a harmful association between Corona Extra and coronavirus, this study's findings revealed that the brand maintained its brand love in the long run and increased brand loyalty during the critical moments of the pandemic. This study's data suggest that brand love and brand loyalty may be the underlying reasons for the increase in Corona Extra's brand equity during the pandemic.

The COVID-19 pandemic created a highly stressful situation for consumers and brands. Some brands' names had unfortunate semantic similarities with the virus terminology, which became an additional stressor during that time. This study harnessed the opportunity to investigate brand love and brand loyalty during the pandemic at four points in 2020 and one in 2022. The authors also examined relevant Twitter data during 2020.

This article aims to propose an adaptation algorithm that combines the analytical hierarchy process (AHP), a rule-based system, and a k-means clustering algorithm. Informatic tools are very useful to enhance the learning process in the classroom. The large variety of these tools require advanced decision-making techniques to select parameters, such as student profiles and preferences, to adjust content and information display, according to specific characteristics and necessities of students. They are part of the Kamachiy–Idukay (KI), a platform to offer adaptative educational services to students with learning difficulties or disabilities.

The design and implementation of the adaptation algorithm comprises the following phases: utilization of the AHP to determine the most important student parameters, parameter to take into account in the adaptation process, such as preferences, learning styles, performance in language, attention and memory aspects and disabilities; designing the first part of the adaptation algorithm, based on a rule-based system; designing the second part of the adaptation algorithm, based on k-means clustering; integration of the adaptation algorithm to KI; and validation of the approach in a primary school in Bogotá (Colombia).

The main approach is the application of computational techniques, namely, rule-based systems and k-means clustering, plus an AHP prioritization at design time to yield a system to support the teaching–learning process for students with disabilities or learning difficulties.

The algorithm found several groups of students with specific learning difficulties that required adapted activities. The algorithm also prioritized activities according to learning style and preferences. The results of the application of this system in a real classroom yielded positive results.

The algorithm performs adaptation for students with mild disabilities or learning difficulties (language, attention and memory). The algorithm does not address severe disabilities that could greatly affect cognitive abilities.

The main contribution of this paper is an adaptation algorithm with the following distinctive characteristics, namely, designed utilizing the AHP, which ensures a proper prioritization of the student characteristics in the adaptation process, and utilizes a rule-based system to identify different adaptation scenarios and k-means clustering to group students with similar adaptation requirements.

Chinese began to arrive in Florida at the turn of the 20th century. Currently there are more than fifty thousand Chinese living in Florida. This article provides information resources for scholars and students of Chinese studies, and for people interested in the history of Chinese Americans and Southeast regional studies. It consists of archive papers, books, journal and newspaper articles and Internet resources containing information on Florida and China. The list is arranged by authors’ last names when available.

Art hotels are increasingly providing an opportunity for creative artists to exhibit their artworks and collections within their premises. This research investigates how some hotels are transforming themselves into important cultural tourism centers. Specifically, its objectives are: (i) to better understand the extent to which travelers are aware about the existence of art hotels and to evaluate their level of interest in art-oriented initiatives; (ii) to determine which attributes and features of art hotels are appreciated by travelers; and (iii) to identify the type of travelers who are willing to stay in art hotels. The findings from a descriptive survey suggest that the incorporation of art into the hospitality industry can attract a diverse customer base and could result in a sustainable competitive advantage for hotels. This study identifies four types of travelers including: Art-Infused Travelers, Art-Seeking Travelers, Art-Indifferent Travelers, and Art-Blind Travelers. These prospective tourists were categorized according to their level of awareness and interest in art hotels and art-related experiences. In conclusion, this contribution implies that artification processes within the hospitality industry can add value to the cultural tourism market. Hence, it also advances future research avenues to academia.

This study explores the factors influencing knowledge hiding (KH) in international construction projects (ICPs), focussing on the role of ethnic minorities (EMs) and interpersonal distrust (ID). It also aims to understand how these factors influence KH and explore the mediating effect of ID on the relationship between EMs and KH.

A survey questionnaire was developed and distributed to professionals participating in ICPs. We used structural equation modelling (SEM) to analyse 294 valid responses, examining the effect of EMs, ID and demographic variables on KH behaviours. Our approach integrates insights from social identity theory (SIT) and actor network theory (ANT) to provide a comprehensive framework for understanding the observed dynamics.

The findings reveal that EMs significantly influence KH behaviours, with ID partially mediating this relationship. Additionally, demographic variables such as gender and age also play significant roles in KH behaviours. However, the degree of education did not show a significant impact on KH. Our results emphasise the critical importance of addressing ID and fostering inclusive environments to reduce KH.

While our study sheds light on the complex dynamics of KH in ICPs, further research could explore additional contextual factors and organisational influences. While our study emphasises the importance of inclusive practices and trust-building to mitigate KH, it also recognises the need for a deeper understanding of power dynamics and organisational contexts.

Our findings underscore the importance of creating transparent and inclusive cultures of knowledge sharing (KS). Implementing inclusion initiatives and providing cultural awareness training can enhance project outcomes and organisational success. We also propose a practical framework to mitigate KH by promoting trust, inclusivity and effective KS practices.

This study contributes to the understanding of knowledge management in multicultural project teams by integrating SIT and ANT, offering a comprehensive perspective on the factors driving KH in ICPs. The findings pave the way for future investigations into power dynamics and organisational contexts within ICPs.

In his autobiography, Chen Shui-bian (1999, p. 40) condemned the Koumintang's (KMT's) corruption and praised the Democratic Progressive Party (DPP) for being free from money politics and corruption. The DPP fought the 1992 Legislative Yuan election campaign effectively on an anticorruption platform and used the same strategy in subsequent elections. If Chen Shui-bian had criticized the KMT for its involvement with “black gold” politics and had won the 2000 presidential election on his anticorruption platform, why was he and his family found guilty of corruption after his second term of office? The short answer is that even though he had promised to curb corruption, President Chen himself had succumbed to corruption after assuming office. In June 2002, Keesing's Contemporary Archives cited a poll in Taiwan that indicated that more respondents had perceived the DPP to be more corrupt than the KMT (Copper, 2006, p. 14).

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.

In the contemporary business environment, companies must constantly consider methods to enhance their competitive advantage and create value for their customers. The purpose of this paper is to develop a research model based on a business ecosystem view. Within a business ecosystem, the authors identified the key factors of co-development and the manner in which these factors affect a company’s innovation performance.

The theoretical hypotheses are confirmed by partial least squares analysis of survey responses collected from information and communication technology (ICT) and hotel industries in Taiwan.

In both industries, the results suggest that a firm’s co-development within its own ecosystem has positive effects on innovation performance. For companies in the ICT industry, collaborative networks and partner selection have significant impacts on the firms’ co-development, but their information technology (IT) capability does not; in contrast, in the hotel industry, partner selection and IT capability have significant impacts on firm co-development, but their collaborative network does not.

This study contributes to the literature of business ecosystem and co-development by offering a co-development model. As both conceptual and empirical research on this topic is still underdeveloped, this study provides fresh insights into collaboration management and offers significant theoretical and managerial implications from a business ecosystem perspective.

This paper aims to propose a new solution for producing customized three-dimensional (3D)-printed flat-shaped splints, which are then thermoformed to fit the patient’s hand. The splint design process is automated and is available to clinicians through an online application.

Patient anthropometric data measured by clinicians are associated with variables of parametric 3D splint models. Once these variables are input by clinicians in the online app, customized stereo lithography (STL) files for both splint and half mold, in the case of the bi-material splint, are automatically generated and become available for download. Bi-materials splints are produced by a hybrid manufacturing process involving 3D printing and overmolding.

This approach eliminates the need for 3D CAD-proficient clinicians, allows fast generation of customized splints, generates two-dimensional (2D) drawings of splints for verifying shape and dimensions before 3D printing and generates the STL files. Automation reduces splint design time and cost, while manufacturing time is diminished by 3D printing the splint in a flat position.

The app could be used in clinical practice. It meets the demands of mass customization using 3D printing in a field where individualization is mandatory. The solution is scalable – it can be extended to other splint designs or to other limbs. 3D-printed tailored splints can offer improved wearing comfort and aesthetic appearance, while maintaining hand immobilization, allowing visually controlled follow-up for edema and rapidly observing the need for revision if necessary.

An online application was developed for uploading patient measurements and downloading 2D drawings and STL files of customized splints. Different models of splints can be designed and included in the database as alternative variants. A method for producing bi-materials flat splints combining soft and rigid polymers represents another novelty of the research.

This paper aims to investigate the effect of excessive use of social networking sites on online compulsive buying, and whether this effect is mediated by the dimensions of money attitude (i.e. power-prestige, distrust and anxiety) in young Malaysian adults.

A correlational cross-sectional, questionnaire-based design was adopted. A total of 1,155 university students completed an online survey. A parallel multiple mediator model was then developed and tested using covariance-based structural equation modeling.

Excessive use of social media had a positive effect on money attitude dimensions and online compulsive buying. Also, power-prestige and anxiety dimensions of money attitude mediated the positive effect of excessive use of social networking sites on online compulsive buying.

Several implications for the parents of young adults, institutions of higher learning as well as banks that provide services to these youths have been suggested.

Little is known about the effect of excessive use of social media on compulsive online buying and the mechanisms behind it. This study contributes to the literature by testing the mediating role of money attitude in the effect of use of social networking sites on online compulsive buying.