The rapid growth of the tourism sector in Indonesia has increased the demand for high-quality services in the hospitality industry, making human resource management a critical factor in achieving organizational sustainability. This research aims to analyze the influence of service orientation on job satisfaction and employee organizational commitment in the hospitality industry, with a case study of three-star hotels in Depok City, namely Hotel Santika, Hotel Bumi Wiyata, and The Margo Hotel. This study uses a quantitative approach with a survey method involving 99 employees. The data were analyzed using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS-SEM) with SmartPLS. The results of the study show that service orientation has a positive and significant effect on employee job satisfaction. Service orientation also has a positive effect on organizational commitment, albeit with a relatively smaller level of influence. In addition, job satisfaction has been proven to have a very strong positive influence on organizational commitment. These findings confirm that improving service orientation and employee job satisfaction is an important factor in strengthening organizational commitment and supporting the sustainability of the hospitality industry.
Vision Language Models (VLMs) have shown strong performance on multimodal reasoning tasks, yet most evaluations focus on short videos and assume unconstrained computational resources. In industrial settings such as pharmaceutical content understanding, practitioners must process long-form videos under strict GPU, latency, and cost constraints, where many existing approaches fail to scale. In this work, we present an industrial GenAI framework that processes over 200,000 PDFs, 25,326 videos across eight formats (e.g., MP4, M4V, etc.), and 888 multilingual audio files in more than 20 languages. Our study makes three contributions: (i) an industrial large-scale architecture for multimodal reasoning in pharmaceutical domains; (ii) empirical analysis of over 40 VLMs on two leading benchmarks (Video-MME and MMBench) and proprietary dataset of 25,326 videos across 14 disease areas; and (iii) four findings relevant to long-form video reasoning: the role of multimodality, attention mechanism trade-offs, temporal reasoning limits, and challenges of video splitting under GPU constraints. Results show 3-8 times efficiency gains with SDPA attention on commodity GPUs, multimodality improving up to 8/12 task domains (especially length-dependent tasks), and clear bottlenecks in temporal alignment and keyframe detection across open- and closed-source VLMs. Rather than proposing a new "A+B" model, this paper characterizes practical limits, trade-offs, and failure patterns of current VLMs under realistic deployment constraints, and provide actionable guidance for both researchers and practitioners designing scalable multimodal systems for long-form video understanding in industrial domains.
Mohammed Shahedul Quader,, H.M. Kamrul Hassan, Tareq Mahbub
Purpose – The sustainable coastal and marine tourism can be regarded as a prerequisite for
ensuring socioeconomic development and maintaining an ecological balance on the planet, and it
has drawn keen attention among academicians, professionals, and stakeholders. This case-studybased qualitative research employed a multi-stakeholder approach, assessing the economic, sociocultural, and environmental impacts, both positive and negative, on coastal destinations.
Methodology – Data have been primarily collected through direct observation and face-to-face
interviews backed by secondary literature. Semi-structured questionnaires were employed to
gather data from a variety of tourism-related stakeholders from Cox’s Bazar and Saint Martin,
considered as tourist hotspots in Bangladesh.
Findings – The results revealed critical economic, social, and environmental interdependent
strategic issues responsible for the sustainable CMT industry.
Significance of the research – The study contributes to sustainability models through addressing
how multi-stakeholder collaboration can boost sustainable practices in tourism, integrating
actionable recommendations based on ‘10Ls’ factors for execution by relevant authorities.
Originality of the research – The originality of the study is placed on its evaluation of
sustainable practices in a tourism industry vulnerable to climate change. It presents a strategic
framework that provides theoretical and managerial understandings, aiding stakeholders
make informed decisions to enhance sustainable tourism.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service
Online Travel Platforms (OTPs) have been working on improving their hotel Search & Ranking (S&R) systems that facilitate efficient matching between consumers and hotels. Existing OTPs focus almost exclusively on improving platform revenue. In this work, we take a first step in incorporating hotel merchants' objectives into the design of hotel S&R systems to achieve an incentive loop: the OTP tilts impressions and better-ranked positions to merchants with high quality, and in return, the merchants provide better service to consumers. Three critical design challenges need to be resolved to achieve this incentive loop: Matthew Effect in the consumer feedback-loop, unclear relation between hotel quality and performance, and conflicts between short-term and long-term revenue. To address these challenges, we propose MERIT, a MERchant IncenTive ranking model, which can simultaneously take the interests of merchants and consumers into account. We define a new Merchant Competitiveness Index (MCI) to represent hotel merchant quality and propose a new Merchant Tower to model the relation between MCI and ranking scores. Also, we design a monotonic structure for Merchant Tower to provide a clear relation between hotel quality and performance. Finally, we propose a Multi-objective Stratified Pairwise Loss, which can mitigate the conflicts between OTP's short-term and long-term revenue. The offline experiment results indicate that MERIT outperforms these methods in optimizing the demands of consumers and merchants. Furthermore, we conduct an online A/B test and obtain an improvement of 3.02% for the MCI score.
This study evaluates hotel guest perspectives on adopting personalised technology-enabled hospitality services by using a quantitative survey methodology. Applying unified theory of acceptance and use of technology (UTAUT) model constructs, the questionnaire gauges 200 guest views on performance benefits, usage effort and conditions influencing adoption of artificial intelligence (AI), the internet of things (IoT) and mobility. Descriptive and correlational analyses highlight innovation by capability and reveal barriers around complexity, privacy and reliability. Findings can inform hotel technology investment decisions and strategic planning to effectively leverage data-driven customisation capabilities across the entire guest journey — from pre-arrival trip planning to post-stay loyalty building. It will also help towards the Hospitality 2.0 vision of balancing digitisation with human connections. This empirical assessment aims to advance sector transformation and next-generation experience elevation through prudent prioritisation guided by evidence-based user willingness going beyond speculative innovation.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service
Cornelius TENGAN, Gordon MAAYIR, Augustine KUUSOGRE
et al.
This study aims to ascertain Visitors’ satisfaction with services and post-visit behavioural intentions with the Kakum National Park of Ghana and to explore the relationship between the satisfaction dimensions and visitors’ post-visit behavioural intentions. Quantitative methods were used for analysis using the responses of 367 sampled visitors with the aid of questionnaires. The study found that visitors' overall satisfaction and future intentions about the attraction are positive. Irrespective of a positive satisfaction with the attraction, visitors were uncertain about their satisfaction with the prices of services at the attraction. Moreover, visitors suggested that they would not revisit but would recommend the attraction to other patrons. A statistically significant association existed between some dimensions of satisfaction (Tangibles, Price, Reliability, Assurance, and Empathy) and post-visit behavioural intention of visitors at the Kakum National Park at p≤0.05. It is recommended that the price of services at the attraction should be reviewed to balance services at the attraction and managers of KNP should also put up measures to diversify and rejuvenate the attraction to influence the revisit intentions of visitors who visit the attraction.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service, Business
Slavomír Švancár, Lukáš Chrpa, Filip Dvořák
et al.
The global food delivery market provides many opportunities for AI-based services that can improve the efficiency of feeding the world. This paper presents the Cloud Kitchen platform as a decision-making tool for restaurants with food delivery and a simulator to evaluate the impact of the decisions. The platform contains a Technology-Specific Bridge (TSB) that provides an interface for communicating with restaurants or the simulator. TSB uses a planning domain model to represent decisions embedded in the Unified Planning Framework (UPF). Decision-making, which concerns allocating customers' orders to vehicles and deciding in which order the customers will be served (for each vehicle), is done via a Vehicle Routing Problem with Time Windows (VRPTW), an efficient tool for this problem. We show that decisions made by our platform can improve customer satisfaction by reducing the number of delayed deliveries using a real-world historical dataset.
Priyam Sahoo, Saurabh Pujar, Ganesh Nalawade
et al.
The availability of Large Language Models (LLMs) which can generate code, has made it possible to create tools that improve developer productivity. Integrated development environments or IDEs which developers use to write software are often used as an interface to interact with LLMs. Although many such tools have been released, almost all of them focus on general-purpose programming languages. Domain-specific languages, such as those crucial for Information Technology (IT) automation, have not received much attention. Ansible is one such YAML-based IT automation-specific language. Ansible Lightspeed is an LLM-based service designed explicitly to generate Ansible YAML, given natural language prompt. In this paper, we present the design and implementation of the Ansible Lightspeed service. We then evaluate its utility to developers using diverse indicators, including extended utilization, analysis of user edited suggestions, as well as user sentiments analysis. The evaluation is based on data collected for 10,696 real users including 3,910 returning users. The code for Ansible Lightspeed service and the analysis framework is made available for others to use. To our knowledge, our study is the first to involve thousands of users of code assistants for domain-specific languages. We are also the first code completion tool to present N-Day user retention figures, which is 13.66% on Day 30. We propose an improved version of user acceptance rate, called Strong Acceptance rate, where a suggestion is considered accepted only if less than 50% of it is edited and these edits do not change critical parts of the suggestion. By focusing on Ansible, Lightspeed is able to achieve a strong acceptance rate of 49.08% for multi-line Ansible task suggestions. With our findings we provide insights into the effectiveness of small, dedicated models in a domain-specific context.
Paula Fraga-Lamas, Tiago M Fernandez-Carames, Oscar Blanco-Novoa
et al.
Shipbuilding companies are upgrading their inner workings in order to create Shipyards 4.0, where the principles of Industry 4.0 are paving the way to further digitalized and optimized processes in an integrated network. Among the different Industry 4.0 technologies, this article focuses on Augmented Reality, whose application in the industrial field has led to the concept of Industrial Augmented Reality (IAR). This article first describes the basics of IAR and then carries out a thorough analysis of the latest IAR systems for industrial and shipbuilding applications. Then, in order to build a practical IAR system for shipyard workers, the main hardware and software solutions are compared. Finally, as a conclusion after reviewing all the aspects related to IAR for shipbuilding, it is proposed an IAR system architecture that combines Cloudlets and Fog Computing, which reduce latency response and accelerate rendering tasks while offloading compute intensive tasks from the Cloud.
Gal Neria, Florentin D Hildebrandt, Michal Tzur
et al.
Restaurant meal delivery has been rapidly growing in the last few years. The main challenges in operating it are the temporally and spatially dispersed stochastic demand that arrives from customers all over town as well as the customers' expectation of timely and fresh delivery. To overcome these challenges a new business concept emerged, "Ghost kitchens". This concept proposes synchronized food preparation of several restaurants in a central complex, exploiting consolidation benefits. However, dynamically scheduling food preparation and delivery is challenging and we propose operational strategies for the effective operations of ghost kitchens. We model the problem as a sequential decision process. For the complex, combinatorial decision space of scheduling order preparations, consolidating orders to trips, and scheduling trip departures, we propose a large neighborhood search procedure based on partial decisions and driven by analytical properties. Within the large neighborhood search, decisions are evaluated via a value function approximation, enabling anticipatory and real-time decision making. We show the effectiveness of our method and demonstrate the value of ghost kitchens compared to conventional meal delivery systems. We show that both integrated optimization of cook scheduling and vehicle dispatching, as well as anticipation of future demand and decisions, are essential for successful operations. We further derive several managerial insights, amongst others, that companies should carefully consider the trade-off between fast delivery and fresh food.
María-Francisca Casado Claro, Josep Pastrana Huguet, María Concepción Saavedra Serrano
Tourism plays an important part in soft power as a public diplomacy tool that, alongside destination branding, aims to reinforce the image of a place to attract visitors, with the ensuing multiplier effect on its economy. Both destination branding and public diplomacy seek the common goal of generating a positive reputation and image of the place, although they pursue different interests. On the one hand, destination branding aims at attracting tourists with an eminently economic objective in mind; while, on the other hand, public diplomacy seeks to promote national interests (economic, social, political), and advance foreign policy goals. Destination branding and public diplomacy can be regarded as two faces of the same coin, as together they leverage a country’s equity in soft power. Japan has furthered its economic, social, and political goals by projecting the image of a technologically advanced country boasting a rich cultural tradition through skillful management of its soft power and its public diplomacy, that in recent times has revolved around cultural diplomacy with the “Cool Japan” strategy for the promotion of cultural industries, as well as around sports diplomacy, with the celebration of the Tokyo 2020 Olympic Games, which owing to the COVID pandemic became an example of failed destination branding, that nevertheless did not obscure their success in terms of sports diplomacy.
Cultural events are largely associated with several socio-economic benefits for tourism destinations and host communities. This article explores the case of the Ankos Masquerade Festival (AMF), which takes place annually in Sekondi-Takoradi (Ghana). Although this area is known for its tourism potential, it still needs development to attract international tourism. The COVID-19 pandemic brought additional challenges as it stopped international travel and necessitated the cancellation of all types of events. In this context, the main objective of this article is to present a case study of the AMF to: (i) identify the profile of the foreign visitors/participants of the festival, their perceptions and their satisfaction level; (ii) understand the perceptions of stakeholders about the socio-economic potential of this event for the local community; and (iii) elaborate policy recommendations to inform and support the local authorities' decision-making. The AMF case study revealed new evidence about the
relevance of this type of event for the development of cultural and creative tourism, for attracting international tourists, for improving the destination's image and for creating socio-economic benefits for local communities.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service, Business
Identifying implicit attitudes toward food can mitigate social prejudice due to food's salience as a marker of ethnic identity. Stereotypes about food are representational harms that may contribute to racialized discourse and negatively impact economic outcomes for restaurants. Understanding the presence of representational harms in online corpora in particular is important, given the increasing use of large language models (LLMs) for text generation and their tendency to reproduce attitudes in their training data. Through careful linguistic analyses, we evaluate social theories about attitudes toward immigrant cuisine in a large-scale study of framing differences in 2.1M English language Yelp reviews. Controlling for factors such as restaurant price and neighborhood racial diversity, we find that immigrant cuisines are more likely to be othered using socially constructed frames of authenticity (e.g., "authentic," "traditional"), and that non-European cuisines (e.g., Indian, Mexican) in particular are described as more exotic compared to European ones (e.g., French). We also find that non-European cuisines are more likely to be described as cheap and dirty, even after controlling for price, and even among the most expensive restaurants. Finally, we show that reviews generated by LLMs reproduce similar framing tendencies, pointing to the downstream retention of these representational harms. Our results corroborate social theories of gastronomic stereotyping, revealing racialized evaluative processes and linguistic strategies through which they manifest.
The literature agrees that the most affected sector during the COVID 19 pandemic was tourism. The period of pandemics associated with social distance has completely transformed the hotel and catering business. Covid 19 has launched new trends in the provision of catering services. Many restaurants have changed their product offerings, focusing on fast food. The stone establishments became online establishments with the virtual operation of the restaurant. Information accessibility has become one of the key success factors and competitive advantages of companies in the restaurant equipment segments. The article deals with the analysis and evaluation of the current state of information accessibility of restaurant facilities in the Moravian-Silesian Region in the context of specific groups. Within this analysis, persons with visual problems, which include not only the visually impaired but also the elderly, were found for a specific group. The analysis was based on the observation of 276 restaurant facilities in the Moravian-Silesian Region and the subsequent classification of individual entities based on clustering into classes. The selection of information accessibility factors was based on a search of literature and sources. From the point of view of a specific group, it is the contrast of fonts, alternative texts and other elements of barriers, etc. In conclusion, it can be assessed that restaurants in the region use web applications, but there are still barriers for a specific group. Like many other industries, the tourism segments had been affected by information technology. Today, customers commonly use the Internet to search for destinations and to book accommodation services. Portals for import services (pizza delivery, etc.) are now also used in gastronomic services. The time of covid strengthened this trend even more. As a result of the complete closure of restaurants and restaurants in hotel facilities, companies have had to launch new approaches to service delivery, in particular focusing on their product import services, which are, however, based on the Internet applications. At present, the key factor in purchasing decisions is the accessibility of the company's website, i.e. Web presentation for all specific groups. In covid times, web tools have become an element from the point of view of restaurant-customer interaction. The individual tools applied to the creation of corporate websites offer shopping for people with special needs without the presence of assistants, which increases the personal self-sufficiency of these people. According to Castiglioni and Gaj (2020), it is necessary for people (and businesses) to radically change their approach to life and adapt to security conditions after the outbreak of Covid 19 in many countries, services that would otherwise be unattainable at the time of the lockdown. Websites of tourism enterprises (accommodation and catering services, cultural heritage goals) significantly belong to the competitiveness of the destination (Kourtesopoulou, et al., 2020; Luna-Nevarez, Hyman, 2012), which is a means of transport to the destination and improve the quality of life of the population.
This study departs from the premise that COVID-19 has fast-tracked the transition to the virtual environment in
the global meetings, incentives, conference/convention, and exhibition (MICE) events sector. Using South Africa
as a case study, the research explores the use of virtual and hybrid events in enhancing the resilience of MICE
events. Adopting a mixed methods approach, data was collected from 19 purposively selected MICE tourism
stakeholders (involved in the planning and organizing of the MICE sector) as well as 500 MICE event attendees.
The findings reveal that virtual and hybrid MICE events ensured the business continuity of the MICE sector during
COVID-19. Additionally, these events were found to be essential for information sharing and proved valuable in
times of uncertainty. The study further found that these events provided substantial market opportunities for MICE
stakeholders in the country. However, the study uncovered that certain sub-sector of MICE, as well as some key
functions, cannot be easily replicated in the virtual space. Moreover, several challenges surfaced when hosting
such events, including the matter of internet connectivity and the significant capital investments required for their
execution. Overall, the study concludes that virtual events have emerged as a valuable tool for enhancing the
resilience of MICE events to crises, and hybrid events are postulated to become a prominent feature in MICE
events offerings in the future.
Hospitality industry. Hotels, clubs, restaurants, etc. Food service, Business
Tourism entrepreneurship is important to the development of the economy, supplementing the revenue of the state and local budgets with tax revenues, providing jobs, raising the cultural and spiritual level of citizens, promoting the sale of goods and services related to tourism, which is an impetus for their effective functioning (hotel , restaurant business, catering, trade, transport, entertainment industry, etc.). Ukraine has great resource potential for the development of tourism, first of all, unique natural and historical and cultural objects. It is famous for its gastronomic culture, national cuisine, products of folk crafts, traditions, unique folklore and color, hospitality, as well as qualified, hardworking personnel. By 2019, according to the rating of attractiveness for foreign tourists, Ukraine was among the 30 most attractive countries in the world. The negative impact of the coronavirus pandemic, as well as the war of aggression unleashed by Russia in Ukraine, caused a drop in the population's income, a sharp reduction in tourist flows, a decrease in socio-economic and financial indicators and the closure of some travel agencies, reorientation of entrepreneurs to other types of activities. The study is dedicated to determining the main ways of recovery and further development of tourism entrepreneurship in Ukraine, taking into account financial and economic, pandemic, political and military challenges. Socio-economic, organizational, environmental and informational measures are proposed, the implementation of which will contribute to the effective conduct of the tourist business and the integration of Ukraine into the EU tourism space. Keywords: tourism, tourism entrepreneurship, tourism activity, recovery, development, tourist, tourist agent, tourist operator, tourist flow, tourist service, tourist destination, state regulation, tourism infrastructure, information techno-logy, social responsibility, environmental responsibility, integration.
At the present stage in Ukraine the tendencies of development of the sphere of services, in particular tourist activity, hotel and restaurant business, etc. are intensifying. Tourism is one of the most dynamic and promising sectors of the world economy. The development of the tourism industry of Ukraine requires significant investments, attraction of innovative technologies, use of the latest developments and achievements of the world community and the experience of countries with a high level of tourism development. The article analyzes the dynamics of capital investment in temporary accommodation and food and beverage activities, as well as the dynamics of the number of tourists served by tour operators and travel agents. The preconditions and factors that influenced the change in the volume of capital investment and the number of tourists during the analyzed period 2010–2020 were identified. The simulation was performed using correlation-regression analysis by constructing an equation of pairwise linear regression with subsequent estimation of its parameters by the method of least squares. The statistical significance of the equations was verified using the coefficient of determination and Fisher's test. Regression lines have been built, which allow to visually assessing the relationship between the amount of capital investment in temporary accommodation and catering and the number of tourists. The reasons for the high dependence of the number of tourists on the volume of capital investment in catering and the moderate dependence on the volume of capital investment in temporary accommodation are explained. The study of trends in capital investment in tourism, temporary accommodation and catering will identify the strengths and weaknesses of tourism, hotel and restaurant business, as well as problems, threats and barriers to the development of the tourism market.
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari
et al.
Crowdsourcing wireless energy services is a novel convenient alternative to charge IoT devices. We demonstrate peer-to-peer wireless energy services sharing between smartphones over a distance. Our demo leverages (1) a service-based technique to share energy services, (2) state-of-the-art power transfer technology over a distance, and (3) a mobile application to enable communication between energy providers and consumers. In addition, our application monitors the charging process between IoT devices to collect a dataset for further analysis. Moreover, in this demo, we compare the peer-to-peer energy transfer between two smartphones using different charging technologies, i.e., cable charging, reveres charging, and wireless charging over a distance. A set of preliminary experiments has been conducted on a real collected dataset to analyze and demonstrate the behavior of the current wireless and traditional charging technologies.