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Digitalization is constantly altering company paradigms and expanding cross-border supply chain prospects. Maritime transportation plays an increasingly essential part in the global supply network. Since maritime shipping services need to exchange a huge number of papers and paperwork across numerous companies, the usage of a unified platform for inter-organisational communication and information sharing is required. To develop an integrative, adaptive, and intelligent container booking system, a multi-agent architecture is designed in this article. The proposed architecture will aid the maritime industry in establishing real-time information interchange between autonomous agents, shippers, freight forwarders, and shipping lines. The process outlined in this paper reveals how the agents communicate with one another to resolve underlying inconsistencies. With the multi-agent framework, the article also presents a container slot optimisation problem considering market segmentation, different booking periods, heterogeneous containers and port congestion scenarios. Using this model the managers can find the booking limit for each type of containers and accordingly they can accept or reject the incoming booking requests. Furthermore, a simulated case study is also provided to validate the model. [ABSTRACT FROM AUTHOR]

Objectives Methods Results Conclusions Klick is a clinic‐specific, digitally supported outpatient pathway of care for people living with HIV (PLWH). It involves a smartphone application (app) for PLWH to self‐manage their care, navigate access to the clinic and communicate with their healthcare provider. We present a patient evaluation of Klick.Patients use Klick to book/reschedule appointments, view laboratory results, request medication, access remote nurse‐delivered consultations and communicate with clinicians. In October 2022, Klick was evaluated by PLWH through a questionnaire and interviews.Between August 2020 and April 2024, 5859 patients had registered to use Klick; during April 2024 alone, 2509 (43%) used Klick. In October 2022, 1661 PLWH were invited to complete surveys, of whom 362 (22%) responded. These respondents were 95% (340/358) male and 84% (298/354) white, and 63% (227/359) were in the age range 41–60 years. Respondents felt Klick was easy to use (average score 4.3/5), and 92% thought having a clinic‐specific app was important/very important. Respondents valued the following app features as important/very important – online booking (93%); viewable results (94%); prescription requests (90%) – and rated their experience of using them highly – 91% for e‐booking and 91% for viewable results. A total of 93% said they would recommend Klick to friends and 82% rated Klick as above average/excellent.PLWH reported high levels of satisfaction using a clinic‐specific mHealth app to manage their HIV care and demonstrated sustained active use. Klick was rated easy to use, as helping to meet healthcare needs and as providing a superior experience for some aspects of care. Other HIV clinics or services managing chronic conditions could benefit from the adoption of personalized digital solutions to enhance patient care. [ABSTRACT FROM AUTHOR]

Many goods and services require the customer to be at home to receive the delivery. In the context of attended home delivery, customers can typically choose from a menu of delivery time slots. We consider the problem of dynamically managing the offered time slots and delivery bookings given the available fleet capacity. When multiple customers interact with the online booking system at the same time, this can lead to conflicts. Although managing such concurrent interactions is an important challenge in attended home delivery systems, it has not yet been addressed in the literature. We present a concurrency control strategy and several fast route planning approaches to manage time slots in real time. To combine fast response times with high quality slotting decisions, we introduce background procedures that use the time between successive order placements to improve the performance of the time slot offer and validation procedures. Our detailed computational experiments based on realistic instances provide insights into the effectiveness of our background procedures and the complex trade-offs between waiting times, valid orders, and invalid orders. We also discuss several relevant new areas of research in concurrency control for time slot management. Funding: This work was supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek [Grant 438-213-204]. It is co-funded by ORTEC B.V. and AH.nl. [ABSTRACT FROM AUTHOR]

The study investigates the factors influencing tourists' online booking intentions. This study employed structural equation modeling to evaluate the online booking intentions of tourists after the second wave of the COVID-19 outbreak in India, extending the application of reactance theory in tourism and hospitality services. Mediation and moderation analysis facilitated the unfurling of direct and indirect linkages among the constructs. The findings suggest that online hotel reviews, perceived scarcity, and perceived enjoyment aggrandize tourists' perceived value quotients, escalating their online booking intentions. Besides, visual presentations improve the strength of the linkage, while perceived pandemic threat weakens the linkage between tourists' perceived value and online booking intentions. The research demystifies critical facilitators of tourists' perceived value and online booking intentions that may assist hotel owners in engaging potential tourists and maximizing their hotels' bottom line. The hotel industry lacks research on perceived scarcity, visual presentations, and perceived pandemic threat. This research adds to the body of knowledge by combining the abovementioned factors through a coherent theoretical framework. It makes prospective tourists cautious about COVID-19's virulence and the devastating consequences. [ABSTRACT FROM AUTHOR]

Purpose: In the era of new technological revolution, seeking to survive and guarantee business sustainability in their digital internationalization, enterprises choose to become environmentally oriented. The need for new green business models has become evident in recent years, and enterprises offer green services in creative and eco-friendly ways. However, does the display of a green label on hotels' websites really promote the eco-conscious tourists' online booking intention? This study aims to examine the impact of the perceived label on the online sustainable hotel booking intention of the eco-conscious tourists, using the foundations of signal theory. Design/methodology/approach: This study adopted a structural equation model to integrate several constructs with a sample of 349 validated responses. Findings: The empirical results highlight, the importance of the green label perception on the eco-conscious tourists' booking intention of online sustainable hotel and the role that green trust and green perceived risk play as a mediating variable between the perception of the exposed label and the booking intention. Indeed, when booking a sustainable hotel online, the tourists may be sensitive to the exposure of a green label. Therefore, this signal decreases the perceived risk of unsustainability and ultimately increases the trust in hotel's sustainability. Research limitations/implications: The first limitation is related to the sample employed in this study. Given that most of the participants were residents of France, the results of this study may not be generalized to the entire population. Secondly, a range of other factors can affect the eco-conscious tourists' intentions to book online a hotel with green label, such as their attitude, social media influence, tourists' satisfaction, etc. Indeed, other variables and/or signals could be adopted to study online booking intention in the pandemic era. Practical implications: In light of these results, theoretical and managerial implications are discussed. The findings make an important contribution to SMEs sustainability and internationalization by exploring new ties. This study considers how SMEs and specifically hotels start following green practices (e.g. adoption of an eco-label) relevant to their international environment where they operate and in response to global pressures. SMEs can survive better in the highly competitive global environment where they need to employ more green practices, however, managers should consider how green trust and green perceived risk can affect customer behavior. It also adds to the existing literature by dealing with customer perceptions about the green label of sustainable hotels and its subsequent effect on booking intention. Originality/value: This study had shown the importance of the display of green label on the eco-conscious tourist's online booking intention. [ABSTRACT FROM AUTHOR]

Online travel booking has become increasingly popular; however, most travel websites do not yet offer voice interaction. This study introduces VoiceBack, an artificial intelligence (AI)-driven voice-based feedback system conceptualized to support both customers and online travel agencies during the booking process. It proposes a theoretically and empirically underpinned design concept that involves a voice user interface (VUI) for customer feedback. This feedback, collected by an AI agent, is analyzed and converted into actionable statistics, which are then presented to online travel agencies through a visual interface. The interface is designed to highlight problem areas and usability issues during the booking process. This study contributes to the field of human-centered AI, by offering insight into the complex process of designing and integrating voice, emotion, and feedback within user interfaces. This integrated approach can enrich the user experience of customers when booking travel online, and pave the way for more intuitive and responsive interaction designs in the future. [ABSTRACT FROM AUTHOR]

A myriad of types of artificial intelligence (AI) systems—namely AI-powered site search, augmented reality, biometric data recognition, booking systems, chatbots, drones, kiosks/self-service screens, machine translation, QR codes, robots, virtual reality, and voice assistants—are being used by companies in the tourism and hospitality industry. How are consumers reacting to these profound changes? This study aims to address this issue by identifying the types of AI systems that are used by tourists, the purposes they are used for in the present, and how likely they are to be used in the future. This study also aims to identify the types of emotions (positive vs. negative) that tourists associate with the use of AI systems, as well as the advantages and disadvantages they attribute to them. Considering the exploratory nature of the research, data were collected through an online survey shared on social media, which was available from September to December 2023. Results show that most respondents have already used several AI systems, assign more advantages than disadvantages to their use, and that the emotions they associate with their use are significantly positive. Moreover, compared to the small number of respondents (13.7%) who associate negative emotions with the use of AI systems, respondents who claim to feel positive emotions when using AI systems also evaluate them more positively in terms of their usefulness for tourism and hospitality. They identify more advantages, use a greater diversity of AI systems, and admit that they would use a more diverse range of AI systems in tourism contexts in the future. [ABSTRACT FROM AUTHOR]

The issue of long waiting times for outpatients remains a prevalent problem in healthcare services, particularly in hospitals. This can be mitigated through the implementation of an effective patient scheduling system, such as an online or web-based scheduling system. However, such systems are not widely utilized and have not received significant attention in Indonesian healthcare services, especially in public healthcare services. This study aims to identify the advantages of an online reservation system and determine the influential factors for developing an effective outpatient scheduling system for patients. A literature review was conducted using a systematic approach, searching through databases such as PubMed, ProQuest, and Scopus for publications from the past 5 years. The initial search using keywords "online reservation" OR "web-based reservation" OR "appointment system" AND "outpatient" AND "waiting time" AND "hospital" yielded 85 relevant literature sources. The PRISMA framework was then applied to narrow down the selection to 9 relevant literature sources, which were reviewed in-depth. The findings revealed numerous advantages of implementing an online scheduling system, including increased patient satisfaction, enhanced patient-centeredness, reduced patient absences, decreased workload for doctors and medical staff, among others. This review suggests that there are numerous advantages to implementing online or web-based reservation systems, as well as various types of online scheduling systems that can be applied and implemented in healthcare services. Practical implications and suggestions for further research are also discussed in this study. [ABSTRACT FROM AUTHOR]

The transfer city is a key point in air-to-rail intermodal travel (ARIT) that directly influences the service level of the entire system. Although some studies have investigated factors that influence passengers' ARIT preferences based on subjective surveys, an in-depth understanding of their nonlinear and interactive impacts on passengers' actual behavior is still lacking. Using passengers' online booking data in China, this study implements an interpretable ensemble machine learning framework that incorporates decision-making theory to unveil feature importance and the complex nonlinear and interactive effects of various attributes on passengers' choice of transfer city in the crucial ARIT scenario. The results show that (1) the extreme gradient boosting (XGBoost) model achieves better performance in predicting ARIT transfer city choice than the conventional discrete choice model; (2) attributes related to intermodal services (e.g., ticket price, in-vehicle duration, transfer duration, quantities of flights and trains) are more important than personal demographic characteristics (e.g., age and gender); (3) factors related to service economy and efficiency display nonlinear impacts with fluctuations and critical thresholds; and (4) individuals with different characteristics present heterogeneous preferences for ARIT transfer cities. These findings can provide useful managerial implications for policymakers. [ABSTRACT FROM AUTHOR]

Ensuring fairness in the utilization of government-funded public facilities, such as co-working spaces, sports fields, and meeting rooms, is imperative to accommodate all citizens. However, meeting these requirements poses a significant challenge due to the high costs associated with maintaining digital infrastructure, employee wages, and cybersecurity expenses. Fortunately, Blockchain smart contracts present an economical and secure solution for managing digital infrastructure. They offer a pay-per-transaction schema, immutable transaction records, and role-based data updates. Despite these advantages, public blockchains raise concerns about data privacy since records are publicly readable. To address this issue, this study proposes a privacy-preserving mechanism for public facilities' reservation systems. The approach involves encrypting the reservation table with fully-homomorphic encryption (FHE). By employing FHE with binary masking and polynomial evaluation, the reservation table can be updated without decrypting the data. Consequently, citizens can discreetly book facilities without revealing their identities and eliminating the risk of overlapping schedules. The proposed system allows anyone to verify reservations without disclosing requested data and table contents. Moreover, the system operates autonomously without the need for human administration, ensuring enhanced user privacy. [ABSTRACT FROM AUTHOR]

Hotel booking websites to collect information about hospitality products/services are becoming more popular in the hotel industry. As a result, the importance of these websites for tourism firms marketing their services and products through electronic word of mouth (eWOM) on these hotel booking websites continues to grow. Despite its importance, there has been little research on how guests interact with information to increase eWOM. This paper creates a new scale for assessing guest interaction with Meituan.com information to fill this void. To this end, a three-step mixed-methods approach using open-ended surveys and published relevant research is used. Data were gathered from 440 hotel guests in Taiwan, China, and Hong Kong. Using SmartPLS 4, confirmatory factor analysis revealed 33 final items for the new scale. This paper significantly contributes to potential guest behavior by creating and confirming this new scale in the hospitality context. [ABSTRACT FROM AUTHOR]

This document is an editorial introducing a special issue on "Systems Engineering and Knowledge Management." It explains that systems engineering is a transdisciplinary approach to developing engineered systems, involving cooperation between business and technical stakeholders. Knowledge management is described as a field that encompasses both technical and organizational management approaches. The editorial then briefly introduces the manuscripts included in the special issue, which cover topics such as success factors in IT service projects, decision-making techniques using fuzzy sets, strategic planning of projects, adapting e-commerce applications to IoT and cloud computing, optimizing residential appliance scheduling, and improving recommender systems using language models. This collection of papers explores the application of advanced technologies in systems engineering across various domains. The papers cover topics such as healthcare, finance, social media analysis, supply chain management, computer vision, cloud computing, smart city development, engineering optimization, genomics, optimization problems, and cybersecurity. The use of technologies like artificial intelligence, machine learning, blockchain, data analytics, bioinformatics, and swarm intelligence is examined to address complex challenges in interconnected systems. The papers also emphasize the importance of knowledge management in effectively utilizing the vast amounts of data generated by these systems. Overall, these papers contribute to interdisciplinary research and innovation in systems engineering to improve the resilience, efficiency, and sustainability of complex systems in the digital age. [Extracted from the article]

An essential element of everyday is the digital presence of consumers in the Internet marketplaces. Moreover, social media platforms are becoming an important part of 21st century commerce and mark a modern way of doing business. Thus, being in a world that is evolving in terms of social media and digital marketing, this article delves into the significant impact of Bookstagram influencers on the visibility and popularity of books. In other words, this article aims to take a close look at the "Bookstagram Tour" phenomenon in Romania, analyzing how bookstagrammers can increase the recognition of a book through their platforms. Starting from an exploratory-descriptive research, we highlight the examination of interactions, post likes and engagement metrics of posts related to a specific online book tour. The study aims to quantify the influence of bookstagrammers in promoting literary content, marking that such a promotion technique succeeds, both in the short and long term, in strengthening the relationship between influencer and consumer and increasing the number of digital interactions. This exploration is key to understanding the changing dynamics of book marketing and readership in the social media age, where influencers hold substantial power in shaping public opinion and determining trends in the literary world. [ABSTRACT FROM AUTHOR]

The number of tourists who use smartphones to make hotel reservation is continuously increasing. Nonetheless, only a few studies have investigated the attributes to make hotel reservation via mobile devices (e.g., smartphones). Hence, the present study comprehensively evaluates the attributes to make hotel reservation through mobile online travel agencies (OTAs) based on the web function design framework to identify the perceived important attributes to make hotel reservation via mobile OTAs from the perspective of tourists and to find out the possible factors with specific attributes to measure hotel reservation via mobile OTAs through an online questionnaire survey method. Findings reflect that the perceived important attributes of tourists have changed from those allowing them to meet their hierarchical needs to those supporting their nonhierarchical intertwined needs. In addition, four factors of hotel reservation via mobile OTAs are identified: hotel information provision, relationship and social media, design and layout, and consumer requests. [ABSTRACT FROM AUTHOR]

The current study investigated the influence of service quality factors on season ticket holder (STH) satisfaction and intention to renew their season tickets. The current study was particularly interested in exploring the unique contribution of the season ticket-specific service quality on STHs' satisfaction and retention in the context of professional sports. Data were collected from 646 STHs from a Major League Baseball (MLB) team using an online survey. The findings from the hierarchical multiple regression models confirm the influence of the STHs' team identification, three gameday service quality dimensions (game, facility, and interaction qualities factor), and the season ticket service quality (STSQ) on their level of satisfaction and intention to renew their season tickets. Hierarchical regression analyses indicated that all groups of predictors contribute to predicting STH satisfaction and intention to renew, together explaining 42.4% and 34.7% of the variances in satisfaction and renewal intention, respectively. Results showed the importance of the season ticket service quality in satisfying and retaining STHs, even after controlling their team identification and gameday service quality. The findings of this study provide helpful tips for sport managers to ensure important service qualities and train their service employees accordingly. [ABSTRACT FROM AUTHOR]

The article discusses the challenges faced by the European Commission in enforcing antitrust laws in digital markets with network effects. It emphasizes the role of National Competition Authorities (NCAs) and private claimants in complementing the Commission's efforts, but acknowledges the constraints imposed by EU regulations. The article also explores the Digital Markets Act (DMA) and its aim to harmonize regulatory solutions at the national level. It compares the DMA with the German Act Against Restraints of Competition (ARC) and highlights differences in obligations and enforcement. The article concludes by suggesting the need for a more consistent approach that embraces diversity before harmonization. [Extracted from the article]

Copyright of Umsatzsteuer-Rundschau is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper first presents a historical record of the caste system in India, shedding light on the socioeconomic disparities and discrimination that persisted for centuries. It then delves into the genesis and evolution of the Reservation System, highlighting its constitutional foundations and subsequent amendments. The paper outlines the intended goals of the Reservation System, emphasizing its role in promoting the social justice, equality, and empowerment of the marginalized communities in the society. The paper critically assesses the potential impact of a comprehensive Caste Census on the accuracy and relevance of reservation policies. An analysis of the implications of the Caste Census on the Reservation System follows, considering both potential positive outcomes and challenges. The study explores the prospect of identifying new beneficiaries who may have been historically excluded, as well as the risk of exacerbating social tensions or reinforcing stereotypes. The paper also investigates the implications for political representation, resource allocation, and the overall socioeconomic development of the marginalized communities. [ABSTRACT FROM AUTHOR]

The growth of technology and easy access to the internet have led to an unparalleled boom in online booking. The uncertainty surrounding online travel purchases, however, still makes traveller's decision-making process very stressful. Hence, this study aims to identify and classify different factors that drive travellers' decision-making and actual behaviour. This study seeks to fill the void by systematically reviewing and synthesizing the online travel literature. The study utilizes the fuzzy-DEMATEL approach to identify, classify and analyse various factors to provide a comprehensive framework for understanding sets of factors driving travellers' decisions and their actual behaviour. The findings reveal that travellers' online travel purchasing behaviour is influenced most by their attitude, while social influence also emerged as a significant factor. This study provides key insights for academics, researchers and practitioners by identifying major factors and sub-factors, along with their causal interactions. This study is novel in its approach as it significantly contributes to existing knowledge by synthesizing the literature and employing the fuzzy-DEMATEL technique in categorizing the key factors that influence travellers' decision-making and actual purchase. [ABSTRACT FROM AUTHOR]

Customers have ample opportunities regarding channels to use to book a hotel room: offline and online. In the online world, the options are using the hotel's website, referred to as the brand website, or third party internet sites like online travel agencies (OTAs). The primary objective of this article is to explore the motivators and factors that influence customers in booking hotel rooms through a brand website. Additionally, the study aims to derive insights from the exemplary practices employed by online travel agencies that contribute to their significant share in capturing online bookings. This study relies on the opinions from 110 participants who frequently reserve their hotel accommodations through Booking.com, booking more than once annually for leisure or vacation purposes. Using an online booking channel requires that the booking tool is perceived as user-friendly and trustworthy and offers a comparison of prices. The benefits of a loyalty programme, integration with other travel-related services and hotels paying commissions are the least important to customers. The primary motivator to book via a brand website is the personal contact and the best price. To achieve this, the hotel needs to make sure that the website is easy to use, offers possibilities for comparison of prices and reviews, is mobile friendly and accepts other payments besides credit cards. Currently, a primary disappointment is the quality of the brand website and, therefore, being perceived by the customer as not user-friendly. Hotels should analyse their brand website's five elements: room price, payment options, user-friendliness, trustworthiness, reputation and visuals to encourage bookings and enhance customer experience. [ABSTRACT FROM AUTHOR]

Copyright of Zeitschrift für das Gesamte Genossenschaftswesen is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Research has previously established that tourists assess "attributes' to appraise the value a hotel may offer before booking online. However, this rational approach overlooks the role emotions may play in the decision-making process. This research examines the positive emotion of hope. Study 1 involved an experiment of 259 North American tourists, confirming the causal relationship between "hope" and "perceived value". Study 2 involved an online survey of 418 North American hotel guests, demonstrating "brand knowledge" moderates the relationship between hope and guests' perceived value, leading to booking intentions. These findings contribute new knowledge for tourism practitioners and researchers. [ABSTRACT FROM AUTHOR]

In the domain of cognitive radio (CR), unlicensed users have the opportunity to efficiently use available spectrum bands without interfering with licensed primary users (PUs). Our study addresses the challenge of secondary user (SU) spectrum shortage due to high arrival rates of licensed users. We propose two models aimed at improving the average total waiting time for SUs in such scenarios. These models incorporate non-acquired and preemptive priority mechanisms within the M/D/1 model of a PU delay system. Through quantitative evaluations and Monte Carlo simulations, we evaluate the performance of these models. Our findings show significant improvements in average waiting time for both PUs and SUs, especially under the priority scheme. Furthermore, we explore these models in the context of real-time systems, considering the limited buffer capacity for both user types. This further improves the average waiting time for PUs and SUs in both priority schemes. Our contribution lies in providing effective solutions to mitigate SU shortages in CR networks, providing insight into priority-based approaches and real-time system considerations. [ABSTRACT FROM AUTHOR]

This study aims to examine the relationship between service providers' self-disclosure on hotel booking platforms (i.e. Booking.com and TripAdvisor) and consumers' trust, hesitation, and booking intentions. The study also investigates the mediating effects of trust and hesitation on booking intentions and the moderating role of social media influencers (SMIs) on these relationships. Data analysis of 418 respondents found that service providers' self-disclosure significantly affects consumers' trust and hesitation, which in turn impacts their booking intentions. The results also showed that trust and hesitation both mediate the relationship between self-disclosure and booking intentions, with trust decreasing hesitation. Additionally, the study found that SMIs significantly strengthen the effect on consumers' trust and weaken hesitation through self-disclosure. These findings contribute to our understanding of trust, service management, and consumer behavior, and have implications for online booking platforms. The study also acknowledges its limitations and suggests areas for future research. [ABSTRACT FROM AUTHOR]

Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which is required in various human–machine interaction applications. It is utilized in phone-based services like dialing systems, certain bank operations, airline reservation systems, and price extraction. However, the design of SDR is a challenging task that requires the development of labeled audio data, the proper choice of feature extraction method, and the development of the best performing model. Even if several works have been done for various languages, such as English, Arabic, Urdu, etc., there is no developed Amharic spoken digits dataset (AmSDD) to build Amharic spoken digits recognition (AmSDR) model for the Amharic language, which is the official working language of the government of Ethiopia. Therefore, in this study, we developed a new AmSDD that contains 12,000 utterances of 0 (Zaero) to 9 (zet'enyi) digits which were recorded from 120 volunteer speakers of different age groups, genders, and dialects who repeated each digit ten times. Mel frequency cepstral coefficients (MFCCs) and Mel-Spectrogram feature extraction methods were used to extract trainable features from the speech signal. We conducted different experiments on the development of the AmSDR model using the AmSDD and classical supervised learning algorithms such as Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest (RF) as the baseline. To further improve the performance recognition of AmSDR, we propose a three layers Convolutional Neural Network (CNN) architecture with Batch normalization. The results of our experiments show that the proposed CNN model outperforms the baseline algorithms and scores an accuracy of 99% and 98% using MFCCs and Mel-Spectrogram features, respectively. [ABSTRACT FROM AUTHOR]

Copyright of Dilemas Contemporáneos: Educación, Política y Valores is the property of Dilemas Contemporaneos: Educacion, Politica y Valores and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Umsatzsteuer-Rundschau is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

E-tourism has become a key component in the tourism industry and allows travelers to easily access information about destinations and services via the Internet, facilitating their travel planning process. Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reservations. E-tourism represents the integration of information and communication technologies in the tourism sector. This concept encompasses the application of digital technologies such as the Internet, mobile applications, online reservation systems, web platforms and social media to improve aspects of travel and tourism. The legal foundation of educational procedures utilizing artificial intelligence algorithms in e-tourism holds significant importance because of the multitude of potential legal complexities and obstacles that could emerge. The Republic of Serbia, like many other countries, is working on improving its regulations in order to enable the development of e-tourism and at the same time ensure the protection of the interests and safety of travelers. [ABSTRACT FROM AUTHOR]

This paper is a reflective discussion of the research method developed by a small research team over a 5-year period as it intra-acted with the south Asian monsoon in three south/southeast Asian cities. It reflects on how the team's practice was transformed from being research on or about the monsoon as a discrete unit of analysis, to research in the monsoon and with its agential materiality. The paper first outlines the theoretical resources from cultural geography, anthropology, feminist theory, posthuman theory, and science and technology studies that the project drew from. After this theoretical section, the paper then discusses the practical implications of the method and the two emergent strands of research ('weather matters' and 'construction matters') that were followed in Chennai, Dhaka, and Yangon. The final section of the paper reflects on the extension of the method into the formatting of a book and an online exhibition. The paper concludes by arguing that what the method offers to cultural, weather-based research in monsoonal and other climes, is a situated, non-formulaic method that recognizes the affordances of the Earth's agency, of matter and of other-than-human lives for generating knowledge of and ways of being in changing weather-worlds. [ABSTRACT FROM AUTHOR]

Background: This work deals with the question of which digital touchpoints in the course of a patient journey are desired by neurological patients, important for effective treatment and easy to implement. Methodology: 100 (44 men, 56 women) patients in a neurological practice at three different locations were examined using a written questionnaire with closed questions on topics of online booking, making appointments and reminders via SMS, video consultation with the doctor and chat with the doctor or the medical practice assistant. Results: It was shown that the older a person is, the less they prefer digital booking and consultation and that the more they work, the more they prefer digital booking and consultation and the longer they live in Switzerland, the less they prefer chat advice. Data protection plays a more important role in older patients. Regarding gender no significant differences can be shown. Discussion: The results are in line with a survey conducted by the Swiss Medical Association (Foederatio Medicorum Helveticorum) of 2020, which shows that the population wants to relieve the burden on doctors in administrative tasks through the use of digital solutions considered desirable. In this study, both younger and older patients are very interested in booking appointments online and to receive an appointment reminder via text message. Since older patients tend to prefer conservative booking, a «hybrid model» should be offered so that both options are available. [ABSTRACT FROM AUTHOR]

Dictionaries are reference books and online databases that contain information about the meaning of a word and its most correct use in speech. The headwords and definitions of dictionaries vary depending on the target users of the dictionary, the purpose of editing, and the type of dictionary. School dictionaries are works that should be prepared by taking into account pedagogical concerns as well as lexicography and linguistics. A dictionary entry contains a headword and its explanations (definition, grammatical function labels, pronunciation, illustrations, etc.), and this unit is called microstructure in lexicography. This study aims to create a list of what kind of structures (e.g. part of speech labels, example sentences, etc.) an entry in the school dictionary may contain, taking into account linguistic and pedagogical concerns, and then to develop an entry scheme for Turkish school dictionaries based on this list. For this purpose, in our qualitative research, the descriptive method, which is frequently preferred in lexicography studies that determine the current situation in dictionaries, was preferred. The linguistic and pedagogical features included in a school dictionary entry were obtained through content analysis from 3 different languages (Turkish, English and French) and 3 different school dictionaries (Türk Dil Kurumu [TDK], Cambridge and Le Robert) selected as research object. As a result of the study, it was observed that the school dictionary entry contained 6 different structures in the headword part and 21 different structures in the definition part. There are 1 pedagogical and 5 linguistic structures in the headword. There are 10 pedagogical and 11 linguistic structures in the definition. According to the data obtained, the pedagogical structures in school dictionaries were mostly used to make the use of the headword more concrete. For example, while indicating the part of speech functions of a word is a linguistic feature, it is pedagogical to give an example usage that clearly indicates the grammatical function of the word. As a result of this study, it was suggested that Turkish school dictionaries include structures such as illustrations and example sentences that will concretize the headword. Unlike English and French, Turkish has a flexible system in which words can have various grammatical functions, that is, the grammatical function of a word with the same morphological appearance (a word that does not have a special suffix for adverbs or adjectives) changes depending on the context, the importance of including an example sentence indicating each grammatical function of the word has been emphasized. As a result of the research, an ideal school dictionary entry scheme was proposed. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study delves into the intricacies of booking behaviors, focusing on the preference for tropical coastal cities during colder seasons, given the burgeoning need for personalized and intelligent travel recommendations in the modern tourism landscape. Traditional booking systems, with their static algorithms, have often neglected the dynamic interplay of environmental factors and user preferences, necessitating an evolution towards more sophisticated, adaptive models. To address this, the research employed advanced machine learning and artificial intelligence techniques, amalgamating data from diverse sources like major tourism websites, hotel platforms, and social media. The methodology involved meticulous data preprocessing to ensure data quality and depth, followed by the implementation of deep learning models and time series analysis, which were instrumental in deciphering complex patterns and offering predictive insights. This comprehensive approach facilitated the integration of various environmental factors such as weather conditions and temporal events, enabling the system to craft hyper-personalized recommendations that resonate with user preferences and environmental nuances. The findings were illuminating, unveiling a significant inverse relationship between temperature and bookings and highlighting the influential role of temporal events in driving bookings. The advanced predictive models showcased commendable accuracy, underscoring the transformative potential of such intelligent systems in enhancing user experiences and engagement in the tourism sector. These insights pave the way for the development of innovative strategies that can significantly elevate user satisfaction and industry growth. The study concludes that the integration of machine learning and AI in booking systems can revolutionize the tourism industry by offering unprecedented levels of personalization and adaptability, catering to the diverse and evolving needs of modern travelers. [ABSTRACT FROM AUTHOR]

"My Heart Is Bound Up with Them: How Carlos Montezuma Became the Voice of a Generation" by David Martínez is a new study that explores the life and legacy of Dr. Carlos Montezuma, a Yavapai Native American. The book focuses on letters written between Montezuma and his Yavapai relations, shedding light on his commitment to land and water rights in Arizona and his evolving sense of family and place. Martínez challenges previous scholarly representations of Montezuma and highlights his advocacy work on behalf of the Fort McDowell and Gila River communities. The book offers a nuanced view of Montezuma's impact as an advocate, leader, physician, and writer, and emphasizes the importance of understanding Montezuma as part of a community of voices. [Extracted from the article]

This empirical study investigates whether unpleasant weather—a prominent aspect of a consumer's offline environment—influences online review provision and content. It uses a unique dataset that combines 12 years of data on hotel bookings and reviews, with weather condition information at a consumer's home and hotel address. The results show that bad weather increases review provision and reduces rating scores for past consumption experiences. Moreover, 6.5% more reviews are written on rainy days and that these reviews are 0.1 points lower, accounting for 59% of the difference in average rating scores between four- and five-star hotels in our data. These results are consistent with a scenario in which bad weather (i) induces negative consumer mood, lowering rating scores, and (ii) makes consumers less time-constrained, which increases review provision. Additional analyses with various automated sentiment measures for almost 300,000 review texts support this scenario: reviews on rainy days show a significant reduction in reviewer positivity and happiness, yet are longer and more detailed. This study demonstrates that offline context influences online reviews, and discusses how platforms and businesses should include contextual information in their review management approaches. [ABSTRACT FROM AUTHOR]