Service quality is important for the survival of all businesses, including the hospitality business. Service quality can be measured by a model referred to as SERVQUAL, which comprises five parameters, namely, tangibility, reliability, assurance, empathy, and responsiveness. It is very important to examine publications to ascertain trends in service quality in the hospitality industry during the previous decade (2014–2024). Data were collected from the Scopus database, the article search having yielded 876 documents. The eligibility criteria were as follows: papers had to be published between 2014 and 2024, had to be written in English, and were restricted to articles, conference papers, book chapters, and review papers. The collected data were analyzed with the biblioshiny package in RStudio. The results revealed that the journal with the highest number of articles published during the period under study was Sustainability (Switzerland). Hong Kong Polytechnic was the institution with the highest number of publications vis-à-vis service quality in the hospitality industry, followed by Bina Nusantara University and Eastern Mediterranean University. It is notable that customer satisfaction featured prominently in different clusters, which emphasizes the fact that service quality is targeted at satisfying customers.

The hospitality industry essentially provides accommodation and lodging facilities to its guests. This industry generates significant revenue for many countries. Sustainable development depicts the current generation’s responsible usage of valuable items, so that future generations can have access and explore the items. Data for this research was collected from Scopus repository. The time range for the data collected is between 2015-2025. It is notable that the search for the data on Scopus identified a total of 717 documents, but 710 documents were found to be eligible for this study, as shown in the Prisma flow chart. The data collected was analysed with biblioshiny package in R studio. The result revealed that the Journal of Sustainability (Switzerland) had done significantly well by leading other journals with respect to a number of publications on sustainable development. Na Na is the most prolific scholar with twenty-four articles. The scholarly output with the most influence vis-à-vis total citations is in the Journal of Sustainable Tourism, published by Han H., 2021, with a total of 440 citations and a total of citations per year of 88.0. The result was underpinned with Sustainable Development Goal (SDG) 6 and 12.

Tourism refers to the act of individuals or groups spending time away from home for amusement, relaxation, and pleasure while utilizing commercial services. Meanwhile, the patronage of tourist destinations in Nigeria is influenced by various factors, including motivations and perceptions visitors had when they visit such destinations, which can impact customer patronage. This study was carried out in LUFASI in Lagos state, Nigeria. A total number of 359 respondents were selected using Yamane (1967) formula. A well-structured close-ended questionnaire was used for data collection, and the results were statistically analyzed using both descriptive and inferential statistics. This study revealed that the primary motivation for most respondents to engage in tourism was fun, with 49.9% of the respondents agreeing and 44.3% strongly agreeing. Additionally, 45.4% were satisfied and 44.0% of the respondents were very satisfied with the park. The visitors were motivated to visit the park for the following reasons: novelty, relaxation/escape, relationships, nature, and self-development. The study also found that the management of LUFASI Park is doing a commendable job in managing and protecting their natural environment by ensuring that the inflow of tourists and their activities does not af fect the natural resources. Lufasi Park has an impressive environment that provides a high level of satisfaction for tourists from diverse backgrounds.

There is a plethora of both organized and haphazard data in tourism destinations. Analyzing this data appropriately is crucial for optimal engagement. This study focuses on the connection between big data analytics and big data's characteristics in Agodi Gardens, Ibadan, Nigeria. Specific objectives were to examine the characteristics of big data; as well as to examine Descriptive and predictive data analytics. Respondents were chosen purposively. Survey instrument (questionnaire) was used to elicit data. Data was collected using structured questionnaire. The collected data were analyzed descriptively and inferentially. The study revealed that significant relationship exists between the prescriptive/descriptive big data analytics and the characteristics of big data. Precisely, there is a significant relationship between prescriptive data analytics and velocity, veracity, volume as well as value. Similarly, there is a significant relationship between descriptive data analytics and volume, variety, value as well as veracity. Likewise, variety and veracity of big data could influence big data analytics. The study therefore recommends that the management of Agodi Gardens should engage thorough big data analytics, so that data elicited by customers can be appropriately analysed and topical inference could be drawn from the analysis.

Airports are destinations where aircraft operate, and facilities such as runways, control towers, terminals, and hangars directly serve aircraft, passengers, and cargo. Airports are essential for moving human beings, goods, and services from one local or international destination to another. They are usually the main entry points for foreigners (expatriates or tourists) into a country. Hence, they have the capacity to drive economic growth, provide employment, and boost trade and tourism. This study aimed to examine the impact of airport infrastructure on the livelihoods of community members in Alakia, Ibadan. A descriptive research design was used for this study, and data were collected from respondents using a questionnaire. The sample size for this study was 384 respondents, as determined using Cochran's formula for the sample size determination. Collected data were analyzed using the statistical package for the social sciences (SPSS). This study revealed that the local Airport in Alakia is generally well perceived by community members. The fact that the Airport has enhanced income-generating opportunities for the community members implies that the community members will have increased savings and investments, which ultimately can reduce poverty in the community. The Airport has yielded significant infrastructural development in the community; for instance, roads are being constructed and renovated, making it easy for more vehicles to access the community.

Purpose: This study investigated tourism seasonality and adaptation strategies of managers and owners of tourism and hospitality businesses. The research aimed to deepen understanding of how seasonal fluctuations influence tourism operations and to identify managerial practices that enhance resilience and performance in seasonally affected destinations. Design/Method/Approach: Data for this study were collected from the Scopus database and analyzed using bibliometric and systematic review methods. A total of 867 publications from 2005–2025 were considered, and bibliometric analysis was conducted with Biblioshiny in RStudio. Additionally, a purposive set of tourism-focused articles was examined to gain insight into practical adaptation measures. Findings: Findings revealed that 2021 recorded the highest scientific outputs (98 articles), and the University of Granada emerged as the most productive institution in this field. Results confirmed that severe climate conditions act as push factors reducing tourism flows, while favorable weather conditions act as pull factors. Core managerial strategies identified include operational flexibility, cost-saving initiatives, workforce adjustments, and proactive planning to stabilize performance during low seasons. Theoretical Implications: Guided by contingency theory, the study demonstrates that effective managerial adaptation in tourism is context-dependent and requires proactive decision-making aligned with seasonal environmental conditions. Practical Implications: Proactiveness is crucial to mitigating seasonality’s effects. Tourism managers must implement flexible staffing, financial planning, demand stimulation measures, and diversified offerings. Policy support is recommended to assist businesses during low-demand periods. Originality/Value: The study maps scholarly trends in tourism seasonality and highlights strategic responses, combining bibliometric evidence with conceptual insights relevant to practitioners and researchers. Research Limitations/Future Research: The Scopus DOI search returned some non-tourism records, and author names occasionally appeared inconsistently. Future studies should refine filters and explore technology adoption and climate-resilient business models as responses to seasonality. Paper Type: Conceptual JEL Classification: Z32, L83, Q56, O44, J44, R11