Variety Of Services Research Articles

Association Between Medicare Site-Based Payment Policy, Physician Practice Characteristics, and Vertical Integration Among Oncologists.

Medicare's differential payments for services delivered in physician offices versus hospital outpatient settings incentivize hospital-physician integration (ie, vertical integration) across many specialties, but evidence for oncologists is mixed. We examined the association of Medicare site-based payment policy and physician practice characteristics, including service volume and diversity, with vertical integration among oncologists in 2013-2019. Using the Medicare Provider Utilization and Payment Data and Medicare Data on Provider Practice and Specialty in 2013-2019, we extracted nonintegrated medical/hematologic oncologists (hereafter oncologists) in 2013 and followed them through 2019. We quantified the incentives from Medicare site-based payment policy using the hospital-office ratio-total Medicare payments if all services were delivered in the hospital outpatient department (HOPD) versus physician office. Vertical integration was defined as billing >10% of services to HOPD in a year. Multivariable linear probability regressions estimated the association between hospital-office ratio and vertical integration in 2014-2019 with and without accounting for provider characteristics. In 2013, the average hospital-office ratio was 1.63, which increased to 1.99 in 2018. A 25th-to-75th percentile increase in the hospital-office ratio was negatively associated with integration (-1.01 percentage points [ppts], 95% CI = -1.45 to -0.57, p < .001) not accounting for physician practice characteristics; this association was attenuated (-0.30 ppts, 95% CI = -0.67 to 0.07, p = .11) after adjusting for these characteristics. Higher baseline (ie, 2013) service volume (Quartile4 v Quartile1 = -3.00 ppts, 95% CI = -4.42 to -1.59, p < .001), more diverse services (Quartile4 v Quartile1 = -3.55 ppts, 95% CI = -4.97 to -2.13, p < .001), and urban location (-5.23 ppts, 95% CI = -6.89 to -3.57, p < .001) were more strongly associated with vertical integration. Compared to Medicare site-based payment policy, oncologists' practice characteristics emerged as more potent factors for integration and should be considered to ensure the intended impacts of site-based payment reform. Our finding raises questions about the effectiveness of ongoing movements toward site-neutral payment for drug administration services to deter vertical integration in oncology.

Transgender and Gender Diverse Health Care in the US Military: What Dermatologists Need to Know.

The US Military has made considerable strides in providing quality health care to transgender and gender diverse service members (TSMs). Current policies ensure continued military readiness and allow TSMs to receive gender-affirming care while continuing to serve. Dermatologists play an important role in the multidisciplinary medical team required for medical gender transition; however, there is considerable discord between medically necessary procedures for dermatologic gender-affirming care and insurance-covered benefits. Within the scope of dermatology, many of the available procedures currently are not covered by insurance. This article seeks to discuss how military and civilian dermatologists can contribute to gender-affirming care. We also review existing disparities in health care and identify potential areas of improvement.

The Relationship between Employee Power Trait and Instigated Workplace Incivility: Does Organizational Tenure Moderate the Effect?

This study builds upon the approach-inhibition theory of power to examine the relationship between an individual’s power trait and instigated workplace incivility. This also proposes that organizational tenure mitigates the likelihood of incivility instigation towards peers by individuals possessing a power trait. To investigate these dynamics, a time-lagged multi-sourced survey involving 175 participants from diverse Pakistani service sector organizations was conducted. Our findings indicate that employee power traits significantly contribute to instigated workplace incivility. Furthermore, organizational tenure serves as a moderator in this relationship where individuals with high-power traits and shorter organizational tenure exhibit a heightened propensity for instigating uncivil behaviors.

Supporting child and youth participation in service design and decision-making: The ReSPECT approach

The ReSPECT Project (Reconceptualising Services from the Perspectives of Children and Teens) was conducted in a disadvantaged urban community in Australia, with young people who experience marginalisation and who were involved with multiple service agencies across a range of service sectors. Its purpose was to work closely with young people to understand their experiences of service engagement, their perspectives on the service priorities for young people in their area, and to support them in the development, trial and implementation of a youth led service initiative. This paper describes the methodology employed with the young people, its theoretical underpinnings, and the challenges that needed to be overcome in the conduct of this research. Critical to the ReSPECT approach is relationship building and capacity development with local service providers. This aspect of our work is also briefly described in this paper. The ReSPECT approach makes a significant contribution to the participatory methodological literature. It is distinctive from existing approaches because (1) it gives equal attention to the sustained engagement and scaffolding of young people in the development of ideas, and to the capacity building of service providers addressing organisational culture and constraints; (2) it follows the process of service change from the conceptualisation of youth-led ideas, through to development, partnership, implementation and evaluation; and (3) it is designed for engagement with marginalised young people with diverse service experiences, whose voices are so often absent from participatory projects.

Exploring perceived naturalness and diverse landscape service appreciation a Q methodology study in Ansan city park

ABSTRACT This study aimed to explore Perceived Naturalness and diverse Landscape Appreciation based on landscape theory and to explore variations in naturalness perception among 25 users of Ansan city park using Q methodology. The results of the study identified six distinct groups representing different aspects of natural landscape appreciation, indicating significant variations in preferences for natural environments. The study found that while naturalness awareness had a common Processing model from an evolutionary perspective, it could be perceived differently based on individual experience and intimacy with nature. Overall, this study identified shared patterns in landscape perception related to perceived naturalness while highlighting individual differences in naturalness preferences.

AN INNOVATIVE IT SOLUTIONS AGENCY (hub of technology innovative solutions)

ABSTRACT : An innovative IT solution company that provides a variety of services, such as software development, cloud computing, cybersecurity, data analytics, and artificial intelligence, is introduced in the proposal. In order to provide unique solutions for challenging business problems, the agency plans to incorporate cutting-edge technologies like blockchain, IoT, and machine intelligence. Delivering individualised solutions through in-depth market research, agile development, strategic alliances, talent development, and all-encompassing support and training will be the agency’s primary focus. A competitive edge, better decision-making, higher levels of security, and sustained growth are among the anticipated results. By offering clients significant value and long-term growth, the agency hopes to become a leader in the IT services sector. Businesses and organisations in the modern digital age rely more and more on cutting-edge IT solutions to boost productivity, improve customer experiences, and keep a competitive edge. The goal of this project is to create a cutting-edge IT solution company that will provide services and solutions specifically designed to fulfil the demands of different industries. Service diversification entails offering a wide range of IT services, such as data analytics, cloud computing, cybersecurity, software development, and artificial intelligence (AI) solutions. Innovation Focus: To develop custom solutions that tackle particular business difficulties, take advantage of cutting-edge technologies like blockchain, the Internet of Things (IoT), and machine learning. A customer-focused strategy: Adopt a client-first approach to guarantee individualised solutions via thorough needs analysis and ongoing involvement. Guarantee of Quality: Put into practice strict quality control procedures. KEYWORDS – STEM education, interdisciplinary learning, project-based instruction, active learning, innovation

Transformasi BUMDes Melalui Community Based Tourism dalam Pengembangan Pariwisata: Studi pada Desa Sekapuk, Kabupaten Gresik

The study investigates the process of transformation of the village owned enterprise agency (BUMDes) into a community-based tourism development centre (CBT) in Sekapuk village, Gresik district. The research method used is case studies with a qualitative approach, involving in-depth interviews with stakeholders and analysis of related documents. The theory used is the concept of CBT as a community-based approach to local tourism development. The key findings suggest that active public involvement in all stages of tourism development, from planning to implementation, has significant economic, social, and environmental impacts. This implies that the CBT approach can be an effective model in strengthening the role of local communities in the development of sustainable tourism. The transformation of BUMDes into a CBT hub not only empowers local communities, but also ensures the sustainability of tourism initiatives by leveraging local resources and knowledge. The study's conclusions emphasize the importance of strengthening public capacity in tourism management, diversification of products and services, as well as government policy support for community-based tourism development. Implications of the research highlighted the need for advanced research to evaluate the long-term impact of this model and expand its application by considering local contexts and building strong partnerships among all relevant stakeholders.

C-SLA-MLO: Enhancing SLA Compliance in Industrial Wi-Fi through Cooperative Multilink Operation

In the dynamic landscape of Industry 4.0, robust wireless connectivity emerges as a critical enabler for Industrial Internet of Things (IIoT) applications. With the advent of Wi-Fi 7’s multilink operation (MLO), the demand for schedulers capable of meeting diverse Service Level Agreement (SLA) requirements within industrial environments becomes paramount. Addressing this need, this paper introduces Cooperative SLA-MLO (C-SLA-MLO), a novel distributed multilink scheduler that balances data across MLO channels to fulfill the SLA of STAs operating within the same BSS. We provide a simulation-based evaluation where we compare C-SLA-MLO with other benchmark approaches, in terms of SLA compliance when varying the SLA characteristics, the level of QoS, or background traffic, showcasing an average reduction of 90% in SLA deviation in the industrial use case. This study contributes practical insights for enhancing wireless connectivity in IIoT, offering potential benefits for industrial network optimization by exploiting the MLO feature brought by the new IEEE 802.11be.

Application of the Ocean Health Index to assess ocean and coastal conditions of the Tokyo Metropolitan area

Ocean ecosystem services are fundamental to coastal economic development and climate regulation. The Tokyo Metropolitan Area (TMA) is one of the world’s most significant bay areas, with its economic development and residents relying on a healthy ocean and diverse marine ecosystem services. Post-World War II, the coastal zones of TMA have suffered from various human-induced stresses and impacts, jeopardizing the capacity of ocean ecosystem services and sustainable development. Although recent years have seen improvements in basic marine water quality, other ecosystem health issue, such as biodiversity, carbon storage, coastal protection are remain limited and require comprehensive enhancement. To better understand the current state of ocean health, promote more comprehensive ocean management decisions and plans, and support sustainable development in the region, it is essential to evaluate the ocean’s condition in the TMA and to assess future trends and risks. The Ocean Health Index (OHI) offers a comprehensive framework to evaluate global and regional ocean health conditions and their ecosystem services. This study applies the OHI to assess the ocean and coastal health of TMA, with indicators and reference points adjusted based on local conditions. From 2014 to 2019, the OHI assessment results indicate that TMA obtained an overall OHI score of 49 (out of 100), with goals ranging from 13 to 87. The environmental and social goals, such as Tourism and Recreation (87), Clean Water (67), Coastal Livelihoods and Economies (62), Sense of Place (62), and Artisanal Fishery Opportunity (51), are relatively high. In contrast, the ecological goals, such as Biodiversity (14), Carbon Storage (13), Coastal Protection (38), and Food Provision (24), are relatively low. This case study highlights strategies for improving ocean health conditions in TMA from both OHI goals and management structure perspectives. The methods and results provide a quantitative tool for regional marine and coastal management in TMA, aiding regional management organizations to establish quantifiable objectives for actions that were previously difficult to quantify. These results can indirectly promote the establishment of more comprehensive and holistic regional management organizations in TMA, which is currently fragmented, thereby effectively enhancing ocean health in TMA.

Is insomnia detrimental to proactive service performance and customer-directed helping? Mediation of employee resilience and moderation of job crafting

Despite the increasing severity of stressors in the service sector, little research has explored the impact of insomnia among frontline service employees (FSEs) on their service behavior, let alone the long-term consequences of insomnia. To fill this gap, this study aims to examine the mediating relationship between FSEs' insomnia, employee resilience, proactive service performance, and customer-directed helping while also exploring how job crafting moderates these relationships. To investigate the long-term effects of insomnia, we collected three-wave data from 318 FSEs in diverse service sectors over six months. The results of our mediation analyses demonstrated that FSEs’ insomnia negatively affected proactive service performance and customer-directed helping six months later by decreasing their resilience. Our findings further indicated that job crafting significantly attenuated the adverse effects of insomnia on employee resilience. In addition, our moderated mediation analyses revealed that insomnia negatively affected proactive service performance and customer-directed helping through employee resilience among FSEs engaged in a low or moderate level of job crafting. This negative effect was not observed among FSEs who engaged in high levels of job crafting, suggesting a buffering role of job crafting. These findings enrich the service literature and provide valuable insights and contributions to the field.

미용실 고객관계관리(CRM)가 관계품질과 관계성과에 미치는 영향

In the modern times, beauty industry environments have rapidly changed. As customer needs and expectations become more diverse, beauty salons have also made a lot of efforts to provide upgraded customer relationship management (CRM) services and build a solid long-term relationship. Under these circumstances, this study attempted to investigate the influence of CRM on relationship quality and relationship performances in beauty salons and make a contribution to the growth of beauty industry with such diverse CRM services. For this, an offline self-administered questionnaire survey was performed against adult men and women in their 20s or older, who visited a beauty salon before from October 11 to 30, 2023 (20 days). A total of 330 copies were used for final analysis, and the collected data were analyzed, using SPSS 22.0. For analysis of general characteristics, frequency analysis was conducted. Concerning the validity and reliability of CRM, relationship quality and relationship performances, factor analysis and reliability analysis were carried out. To examine the effects of CRM on relationship quality and relationship performances, regression analysis was performed, and the results found the followings. In CRM factors, ‘introduction factor’ and ‘operating factor’ had a positive influence on relationship quality and relationship performances with statistical significance. It is anticipated that the above results would be available in searching new competitive beauty services or diverse customer management techniques and building an environment for high-quality customer relationship services, making a contribution to the growth and prosperity of beauty industry.

A comprehensive algorithm for vertical positioning in multi-building environments as an advancement in indoor floor-level detection

The proliferation of smartphones has catalyzed diverse services, mainly focusing on indoor localization to determine users’ and devices’ positions within buildings. Despite decades of exploration, the seamless integration of wireless technologies in tracking devices and users has become pivotal in various sectors, including health, industry, disaster management, building operations, and surveillance. Extensive research in laboratory and industrial settings, particularly in wireless sensor networks and robotics, has informed indoor localization techniques. This paper, referencing surveys and original literature reviews, proposes an innovative indoor location system amalgamating GPS and barometer readings. GPS identifies entry through doors, while barometer readings facilitate accurate floor-level tracking. The integration promises continuous real-time location updates, enhancing security, navigation, and emergency response. Notably, the algorithm is infrastructure-independent, relying on the smartphone’s barometer, and versatile, detecting elevator travel when Wi-Fi AP or LTE signals are available. Results indicate high accuracy, with building entry exceeding 93%, elevator recognition achieving 75% sensitivity and 97% specificity, and floor change detection surpassing 95% sensitivity and nearly 98% specificity (which translates to nearly 97% accuracy). This comprehensive solution, emphasizing the critical role of precise vertical positioning, signifies an advancement in tracking within urban structures.

THEORETICAL AND APPLIED ASPECTS OF AI IMPLEMENTATION IN FINTECH AS A DRIVER OF SOCIO-ECOLOGICAL-ECONOMIC DEVELOPMENT

Introduction. Financial technologies play a crucial role in socio-ecological-economic development by automating various processes across all sectors and increasing service accessibility not only in large cities but also in every corner of the country. The use of remote customer service channels reduces labor and associated costs, promoting more efficient resource utilization. FinTech supports the growth of financial markets and serves as a vital tool for optimizing both the everyday lives of individuals and the functioning of the entire ecosystem. These technologies significantly facilitate the formation of connections between different sectors, accelerating the attainment of economic, social, technological, political, and other benefits. FinTech not only fosters economic growth but also supports sustainable development by enhancing social inclusiveness and promoting ecological sustainability through more efficient resource use and reduction of the carbon footprint. The purpose of the article. It is necessary to investigate the theoretical and applied understanding of AI in Fintech as a driver of socio-ecological-economic development. Results. Trends in AI, considering sustainable development and financial technologies, highlight the following key directions: Green AI (energy-efficient algorithms; energy consumption optimization); Ethical and Transparent AI (ethical principles; explainability); Inclusive Financial Technologies (financial inclusion; personalized financial services); Innovations in Lending and Risk Management (creditworthiness analysis; risk forecasting); Intelligent Investment Platforms (robo-advisors; micro-investments); Cybersecurity (threat detection; behavior analysis); Sustainable Development through Financial Technologies (investing in sustainable development; impact monitoring). Therefore, it can be argued that the integration of artificial intelligence in financial technologies not only drives innovation in financial services but also upholds the principles of sustainable development, ensuring ethical, inclusive, and efficient practices. Conclusions. Financial technologies are rapidly evolving, stimulating the emergence of diverse services, including internet payments, lending through distributed ledgers, and mobile money transfers. Key directions in the development of financial technologies include fraud protection, business interchanges, and adaptation to regulations, opening up new opportunities for all consumer categories. Transformational trends in fintech innovations significantly impact Ukraine's financial sector, expanding the accessibility of financial services and enhancing the efficiency of financial companies. It is necessary to ensure the creation of appropriate legislative and regulatory environments to guarantee the security and stability of the financial sector in the face of rapid development of digital technologies. The application of artificial intelligence in the financial sector is defined by key directions such as green AI, ethical and transparent AI, fostering innovation and sustainable development, increasing the efficiency and accessibility of financial services.

Destigmatizing urban villages by examining their attractiveness: Quantification evidence from Shenzhen

While existing social and political research has qualitatively discussed the stigmatization of urban villages (UVs), there's a lack of quantitative support. This study innovatively attempts to provide quantitative evidence, employing a spatial perspective for the destigmatization of UVs. We integrated population trajectory, GDP data, employment and residential points of interest, and developed a spatial gravity model to derive the spatial attractiveness index. Concurrently, we selected environmental, spatial structure, and housing economic indicators to construct a regression analysis. Our findings revealed that urban villagers exhibit a preference for shorter daily commutes, underscoring the positive role of UVs in promoting job-housing balance and providing diverse services. The high-frequency mobility of villagers accelerates the categorization of UVs and enhances intra-area circulation. We further discussed the interaction between UV renewal and its destigmatization. To counter spatial stigmatization, enhancing the spatial quality and infrastructure of UVs, as well as promoting diversified land use can reduce the public's stereotypical impressions. Moreover, prioritizing affordable housing and equitable distribution of facilities, along with fostering synergies between urban capital and UVs, can facilitate the destigmatization process. Stigmatization in informal settlements is a widespread issue. Our quantitative approaches, as well as targeted renovation and policy recommendations, can serve as a blueprint for addressing similar challenges in informal settlements globally.

Analisis Manajemen Risiko Keuangan dan Tenaga Kerja pada UMKM Mie Ayam Mbak Yummi Kota Medan

MSMEs (Micro, Small, and Medium Enterprises) are one of the important economic pillars in driving local economic growth in various cities in Indonesia. However, MSMEs often face significant challenges, especially related to financial and labor risk management. This study aims to analyze financial and labor risk management at Mbak Yummi Chicken Noodle MSMEs in Medan City. In this study, a descriptive qualitative approach with interviews was used to collect data from business owners and employees. The analysis was conducted with a focus on financial risk management strategies, such as product and service diversification, creative promotion, cash flow management, and access to capital, and labor risk management strategies, including employee cost management, employee development and retention, and effective performance management. The results show that Mbak Yummi Chicken Noodle MSMEs have implemented various strategies to effectively manage financial and labor risks. Product and service diversification, creative promotions, and utilization of online delivery and ordering services help reduce financial risks and maintain revenue stability. Meanwhile, efficient management of employee costs, employee development, and effective performance management help manage labor risks, improve productivity, and maintain service quality. This research shows that effective financial and labor risk management plays an important role in the operational success of Mbak Yummi Chicken Noodle MSMEs.

Hybrid intelligent system for channel allocation and packet transmission in CR-IoT networks

The proliferation of interconnected devices is driving a surge in the demand for wireless spectrum. Meeting the need for wireless channel access for every device, while also ensuring consistent quality of service (QoS), poses significant challenges. This is particularly true for resource-limited heterogeneous devices within Internet of Things (IoT) networks. Cognitive radio (CR) technology addresses the shortcomings of traditional fixed channel allocation policies by enabling unlicensed users to opportunistically access unused spectrum belonging to licensed users. This facilitates timely and reliable transmission of mission-critical data packets. A cognitive radio-enabled IoT (CR-IoT) network is poised to better accommodate the growing demands of diverse applications and services within the smart city framework, spanning areas such as healthcare, agriculture, manufacturing, logistics, transportation, environment, public safety, and pharmaceuticals. To minimize switching delays and ensure energy and spectral efficiency, this study proposes a hybrid intelligent system for efficient channel allocation and packet transmission in CR-IoT networks. Leveraging Support Vector Machine (SVM) and Adaptive Neuro-Fuzzy Inference System (ANFIS), the system dynamically manages spectrum resources to minimize handoffs while upholding QoS. A Java-based simulation integrates system outputs with interference temperature data to accommodate service demands across 2G–4G spectrums. Evaluation reveals SVM’s 98.8% accuracy in detecting spectrum holes and ANFIS’s 90.4% accuracy in channel allocation. These results demonstrate significant potential for enhancing spectrum utilization in various IoT applications.

An innovative approach for cluster head selection and Energy Optimization in wireless sensor networks using Zebra Fish and Sea Horse Optimization techniques

In recent times, Wireless Sensor Networks (WSNs) have become an indispensable technology across various industries, offering diverse applications and services. Among the crucial performance metrics for WSNs, optimal cluster head (CH) selection and energy efficiency are paramount for cost-effective network operations. This paper proposes a novel approach for WSNs that tackles both challenges using Zebra Fish Optimization (ZFO) and Sea Horse Optimization (SHO) algorithms. The proposed approach focuses on dynamic cluster formation and CH selection. The ZFO algorithm, enhanced with a new multi-level threading technique, dynamically selects the most suitable CH based on a fitness function. Subsequently, the SHO algorithm, equipped with an innovative adaptive parameter tuning mechanism, optimizes energy consumption within the network. This two-phased approach ensures balanced performance. Performance evaluation is validated using key metrics like packet delivery ratio (PDR), throughput, network lifetime, and residual energy. Experimental results and statistical analysis demonstrate that the proposed hybrid scheme outperforms existing popular algorithms in all these metrics. The improvements range from 1.8 % to 6.9 % for PDR, 6.7 % to 24 % for throughput, 1.86 % to 7.40 % for network lifetime, and 9.65 % to 37.95 % for residual energy. These advancements are attributed to the innovative modifications introduced in both ZFO and SHO algorithms, ultimately contributing to the enhanced performance of the entire system.

A national research survey of childhood autism assessment services in the UK: empirical evidence of diagnostic practice, challenges and improvement opportunities

BackgroundThe UK National Health Service (NHS) Long Term Plan aims to reduce waiting times for childhood autism diagnostic assessment and improve parent and child satisfaction. This empirical research investigated current...

Qualitative Exploration of Speech Pathologists' Experiences and Priorities for Aphasia Service Design: Initial Stage of an Experience-Based Co-Design Project to Improve Aphasia Services.

Stroke survivors with aphasia (impaired language/communication) have poor outcomes and gaps in the clinical implementation of best practice contribute to this. Little is known, however, about speech pathologist perspectives on the touchpoints (key moments shaping experiences) in the clinical care pathway that have the greatest impact on service delivery nor how this varies by geographical location. We explored the experiences of speech pathologists who provide aphasia services to establish priorities for improvement and design. This is the initial experience gathering and priority identification stage of an experience-based co-design (EBCD) project. Speech pathologists were recruited from 21 geographically diverse Hospital and Health Services in Queensland, Australia. Speech pathologists working in acute, rehabilitation and community services shared positive and negative experiences of delivering aphasia care in interviews and focus groups. Experiential data were analysed using qualitative thematic analysis to determine touchpoints. Priorities for service design were identified using an adapted nominal group technique. Speech pathologists (n = 62) participated in 16 focus groups and nine interviews and shared 132 experiences of delivering aphasia care. Providing care in teams with poor awareness of the impacts of aphasia was identified as a key challenge, as poor patient-provider communication was perceived to increase risk of adverse outcomes for patients. Speech pathologists identified areas for improvement related to their own professional needs (e.g., greater access to clinical supervision); collaborative health care (e.g., better coordination and interdisciplinary care to increase therapy time); and the service context and environment (e.g., psychological services able to support diverse communication needs). Speech pathologist delivery of aphasia services could be improved through increased access to clinical supervision, opportunities for peer debriefing and interdisciplinary care. Priorities for service design varied by geographical location and included: education to support care transitions (remote areas), improved referral pathways and service linkage (regional areas) and dedicated aphasia staffing (metropolitan areas). A consumer advisory committee comprising people with aphasia (n = 3, authors K.M., K.D. and B.A.), their significant others (n = 2, authors J.D. and P.M.), and a Cultural Capability Officer (author G.B.) guided this research. The team: (1) reviewed participant information; (2) co-designed surveys and workshop resources; (3) copresented research outcomes and contributed to publications. Research questions and study design (e.g., analysis methods and assessment measures) were developed by the research team (authors L.A., V.J.P., D.A.C. and S.J.W.).

Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities

In recent years, the research community has increasingly embraced topics related to smart cities, recognizing their potential to enhance residents’ quality of life and create sustainable, efficient urban environments through the integration of diverse systems and services. Concurrently, recommender systems have demonstrated continued improvement in accuracy, delivering more precise recommendations for items or content and aiding users in decision-making processes. This paper explores the utilization of recommender systems in the context of smart cities by analyzing a dataset comprised of papers indexed in the ISI Web of Science database. Through bibliometric analysis, key themes, trends, prominent authors and institutions, preferred journals, and collaboration networks among authors were extracted. The findings revealed an average annual scientific production growth of 25.85%. Additionally, an n-gram analysis across keywords, abstracts, titles, and keywords plus, along with a review of selected papers, enriched the analysis. The insights gained from these efforts offer valuable perspectives, contribute to identifying pertinent issues, and provide guidance on trends in this evolving field. The importance of recommender systems in the context of smart cities lies in their ability to enhance urban living by providing personalized and efficient recommendations, optimizing resource utilization, improving decision-making processes, and ultimately contributing to a more sustainable and intelligent urban environment.