Service Model Research Articles

THE EXPERIENCE OF SOCIAL WORKERS IN BIG DATA–BASED CARE SERVICES ON PREVENTING SOCIAL ISOLATION FOR OLDER ADULTS

Abstract In response to the increasing occurrence of social isolation among older adults in South Korea, local governments and ICT companies are collaborating to introduce various intelligent care initiatives based on big data, including AI care calls, AI speakers, and activity detection sensors. This study investigates the experiences of social workers providing on-site intelligent care services to older individuals living alone to prevent social isolation. Five focus group interviews involving 15 welfare officials and social workers were conducted. The findings are as follows. Firstly, they recognized biases regarding intelligent technology, such as concerns about privacy infringement, as barriers to identifying high-risk groups and accepting services. Secondly, challenging living environments with limited internet access and low digital literacy were acknowledged as obstacles hindering the sustained use of intelligent care services. Thirdly, the presence of personnel capable of providing education and support for smart device usage was deemed essential for the continued utilization of services. Fourthly, it was acknowledged that additional personnel and support beyond smart devices are necessary for groups with impaired vision, hearing, or mobility. Lastly, the involvement of social workers with a deep understanding of high-risk groups, from planning to evaluation of service models, was recognized as essential for enhancing the effectiveness and efficiency of services. Based on these findings, this study suggests practical and policy implications regarding intelligent living environments, digital literacy, ethics of artificial intelligence, caregiver training, and the involvement of social workers.

Implementation Aspects of Management Models for Network and Services in Smart Street Lighting

Implementation Aspects of Management Models for Network and Services in Smart Street Lighting

Strategi Peningkatan Kapasitas Manajerial dan Kepemimpinan: Mendukung Daya Saing Koperasi Bina Warga Sejahtera

Cooperatives have a strategic role in supporting the local economy and improving community welfare. However, many cooperatives face challenges in managerial and leadership aspects that hinder their competitiveness. This article discusses the results of community service programs aimed at improving managerial capacity and leadership at the Prosperous Citizen Development Cooperative in Pamekasan. The approach used includes training, mentoring, and hands-on mentoring, with a focus on strengthening strategic planning, operational management, and innovative leadership skills. The target of the program is cooperative administrators and key members who have a strategic role in the organization. The results showed significant improvements in managerial skills, leadership mindsets, and member involvement in strategic decision-making. This program also has an impact on more professional cooperative management, increased competitiveness, and strengthening the cooperative's external network. However, the evaluation of the program identified several obstacles, such as participants' time constraints, low levels of digital literacy, and resistance to change. To overcome this obstacle, it is recommended that there be more focused continuous training, flexibility in implementation time, and collaboration with external parties such as the government and educational institutions. This article emphasizes the importance of strengthening the capacity of human resources to support the transformation of cooperatives into competitive economic entities. This approach not only provides internal benefits for cooperatives, but also contributes to the development of the local economy in a sustainable manner. Thus, this service model can be a reference for the development of cooperatives in other regions.

Defining Midwifery-Led Care in the United States Using Concept Analysis.

National health policy initiatives recommend increased integration of midwifery care in the United States to improve care quality and reduce maternal health disparities. However, the service models through which midwives provide midwifery care and produce quality outcomes are poorly understood. Midwifery-led care is a service model frequently associated with improved outcomes compared with other models. The service model has been infrequently or inconsistently studied in the Unites States and has been narrowly defined and applied to perinatal care. The purpose of this concept analysis was to evaluate the concept of midwifery-led care and expand the definition to guide midwifery practice, research, and health policy. The analysis followed Walker and Avant's methodology. Three attributes of midwifery-led care were identified: (1) midwife as the lead clinician; (2) person-midwife partnership; and (3) care embodies midwifery philosophy. Antecedents were (1) license to practice as a midwife; (2) a person needing or desiring sexual, reproductive, perinatal, or newborn care; (3) a person with low- or moderate-risk health status; (4) regulations and guidelines that support provision of midwifery care; and (5) reimbursement for services. Consequences of midwifery-led care included (1) improved maternal and neonatal outcomes, (2) patient satisfaction, and (3) reduced health care costs. The presented expanded definition of midwifery-led care is the first to use a systems level approach and explicitly center the person receiving care and the philosophical approach of midwifery care. Application of this definition is needed in theoretical and pragmatic research to classify midwifery-led care and other service models and compare patient- and organization-level outcomes.

Enhancing resident perceptions of autonomy, education, and psychological safety: effects of implementing a senior resident-led team-based service model on a trauma and acute care surgery rotation

Enhancing resident perceptions of autonomy, education, and psychological safety: effects of implementing a senior resident-led team-based service model on a trauma and acute care surgery rotation

State Variation in Uptake of Pharmacy-Based CLIA-Waived Testing: Impact of Laws and Regulations.

Background: Community pharmacies have grown to be an increasingly important provider of CLIA-waived tests, just second to physician offices as the venue with the most waivers. Yet, individual variation is still observed across states with respect to the percentage of pharmacies holding a CLIA-waiver, with a reported range of 10.7% in Massachusetts to 87.9% in Delaware. Objective: To identify how state laws can either impede or enhance access to POCT services by pharmacies by comparing the percentage of pharmacies in each state holding a CLIA-waiver to the legal model for POCT services in each state. Methods: Data from the U.S. Centers for Disease Control and Prevention CLIA Laboratory Search website reported on December 4, 2023, were used to determine the number of pharmacies holding CLIA-waivers in each state. This was then divided by the number of community pharmacies in each state, as reported in the 2023 National Community Pharmacy Association Digest, and then compared with 2 public reports on pharmacy CLIA laws. Results: States categorized as allowing pharmacists to independently perform CLIA-waived tests in public reports actually had a lower percentage of pharmacies with a CLIA-waiver (49.60%) than those categorized as not allowing CLIA-waived tests (60.19%). As many as 10 241 pharmacies hold a CLIA-waiver in states that did not affirmatively report that pharmacists ordering lab tests was allowed. Conclusion: The paradoxical finding is likely a result of the underreporting of pharmacist CLIA-waived testing authority given the complexity of pharmacy law relative to other professions. Simplifying pharmacy law through adoption of a "standard of care" regulatory approach may enhance patient access to POCT services moving forward.

Spatial Configuration and Sustainable Conservation of Ecotourism Resources in the Dabie Mountains, Eastern China, Using an Ecosystem Services Model

Given the growing interest in sustainable tourism and the need to preserve ecological integrity, understanding how tourism resource development can coexist with biodiversity conservation is crucial, especially in ecologically sensitive regions. The Dabie Mountain region, with its rich biodiversity and cultural heritage, is a prime area for exploring the balance between tourism and environmental protection. Our study examined the spatial configuration of ecotourism resources in the Dabie Mountains, focusing on the role of ecosystem services, biodiversity hotspots, and traditional villages. Using the InVEST model, kernel density analysis, and a geographic detector, we found that the study area primarily consisted of lower-habitat-quality regions. Approximately 48,914.05 km2 (96.82% of the total area) was classified as low-quality habitat, presenting potential risks to biodiversity and ecosystem services in these regions. Higher habitat quality was observed in the eastern and southern regions, particularly in Yue Xi County, which exhibited superior biodiversity and habitat conditions compared to other administrative areas. Class V habitats, covering 39.89 km2 (31.69% of Class V area), were located in areas with greater terrain relief and proximity to water bodies, which contribute to higher biodiversity. This study identified a potential ecotourism development space of 649.79 km2, with a spatial distribution aligned with natural landscape features that support biodiversity conservation. Yue Xi and Jinzhai together accounted for 49.84% of the total ecotourism development space. Our study emphasizes the need to balance biodiversity conservation with tourism development, ensuring that ecotourism goals are met while preserving ecological integrity and cultural heritage. These findings provide a strong foundation for future research on biodiversity conservation in tourism development and offer insights for achieving sustainable ecological management in the region.

An integrated framework for collaborative product design and assembly based on STEP compatible ontology model in cloud manufacturing

AbstractNowadays, new product development processes are encountering fast design and development cycles. This issue has become one the main competition factors among industries. Accordingly, companies make drastic efforts to enhance the quality and speed in the realm of designing and manufacturing by taking novel approaches. Using the potential of new technologies, they design and develop products worldwide, and integrate stakeholders in the collaborative process to achieve this goal. This study has aimed at laying a foundation to fulfill the requirements for globalized collaborative product development processes. This creates an opportunity for both an integrated and collaborative environment. As first objective, the paper has proposed STEP Standard-based model in the form of a cloud service model to create an integrated data structure for product design data while giving flexibility for service-oriented access to integrated model. For second objective, using the Ontology interoperability model, the collaborative design among the stakeholders has been enabled through smart interference control. This control interprets the data semantic to an ontology structure and detects the potential conflicts. The model supports two levels of parts in singular and collective form and based on the assembly scheme for collaborative design and development. Different facets of the proposed model are addressed to fulfill the necessity of real-time distributed collaboration in designing and assembling via a case study.

Urban ecosystem services, ecological security patterns and ecological resilience in coastal cities: The impact of land reclamation in Macao SAR.

Land reclamation from the sea is a common practice to create territorial space and accommodate urbanisation in coastal cities. However, previous studies did not adequately examine the changes in ecosystem service values, the spatial transformation of the ecological network and the ecological resilience at an urban scale in the context of land reclamation. This study uses Macao SAR, a fully urbanised city with two-thirds of its land reclaimed from the sea, as a case study. We quantify urban ecosystem services (UES) values and model the spatial transformation of the ecological security patterns (ESPs) throughout the city's land reclamation history from 2000 to 2020. Subsequently, we evaluate the resilience of the ESPs' components and their relationships with urbanisation by using spatial element elasticity indices and regression analysis. Results show that urban land expanded by 27% through land reclamation, increasing the value of UES by 13%. The growth rates of different categories of UES vary significantly. ESPs extended over the newly reclaimed and urbanised lands, but the resilience levels of ecological sources, corridors and nodes decreased. There is a strong positive correlation between UES values and urbanisation, and a strong negative correlation between ecological resilience and urbanisation. This study recommends five specific environmental spatial planning and management strategies to address the expansion and integration of ESPs, aiming not only to provide ecological services but also to enhance ecological resilience in coastal cities.

A prognostic model for predicting functional impairment in youth mental health services.

Functional impairment is a major concern among those presenting to youth mental health services and can have a profound impact on long-term outcomes. Early recognition and prevention for those at risk of functional impairment is essential to guide effective youth mental health care. Yet, identifying those at risk is challenging and impacts the appropriate allocation of indicated prevention and early intervention strategies. We developed a prognostic model to predict a young person's social and occupational functional impairment trajectory over 3 months. The sample included 718 young people (12-25years) engaged in youth mental health care. A Bayesian random effects model was designed using demographic and clinical factors and model performance was evaluated on held-out test data via 5-fold cross-validation. Eight factors were identified as the optimal set for prediction: employment, education, or training status; self-harm; psychotic-like experiences; physical health comorbidity; childhood-onset syndrome; illness type; clinical stage; and circadian disturbances. The model had an acceptable area under the curve (AUC) of 0.70 (95% CI, 0.56-0.81) overall, indicating its utility for predicting functional impairment over 3 months. For those with good baseline functioning, it showed excellent performance (AUC=0.80, 0.67-0.79) for identifying individuals at risk of deterioration. We developed and validated a prognostic model for youth mental health services to predict functional impairment trajectories over a 3-month period. This model serves as a foundation for further tool development and demonstrates its potential to guide indicated prevention and early intervention for enhancing functional outcomes or preventing functional decline.

The impact of a coach-guided personalized depression risk communication program on the risk of major depressive episode: study protocol for a randomized controlled trial

BackgroundDepression is a highly prevalent and disabling mental health problem. Self-help has been strongly advocated for dealing with depression. Built upon the research on risk prediction modeling and risk communication, we developed a coach-guided, personalized depression risk communication tool (PDRC) for sharing information about individualized depression risk and evidence-based self-help strategies. The primary objective of this project is to evaluate the impact of the PDRC on the 12-month risk of major depressive episode (MDE) in Canadians who are at high risk of MDE.MethodsThis is an assessor-blinded randomized controlled trial (RCT) with two arms. We will recruit 500 males and 500 females in the communities across the country. Individuals are eligible, if they: (1) are 18 years or older, (2) have not had a depressive episode in the past two months, (3) are at high risk of MDE based on the sex-specific risk predictive algorithms for MDE (predicted risk of 6.5% + for men and of 11.2% + for women), (4) can communicate in either English or French, and (5) agree to be contacted for follow-up interviews. After screening and baseline assessment, participants will be randomized by sex into intervention and control group in a 1:1 ratio. Participants in the intervention group will receive the coach-guided PDRC. The participants are assessed at baseline, 3 and 12 months via computer assisted telephone interview system, regarding the presence of MDE, depressive and anxiety symptoms, use of self-help strategies, mental health services use and self-efficacy.DiscussionThe coach-guided PDRC may empower users to actively engage in self-management, leading to reduced risk of MDE. If successful, the coach-guided PDRC will lead to a novel selective prevention program that is closely aligned with the tiered mental health services model, contributing to early prevention of depression and better mental health wellbeing.Date of trial registration: 2024-10-02.Protocol version and dateDecember 6, 2024. Version #1.Trial registration: NCT06619366.

Research on the Innovation of Management and Service Models of University Libraries in the Information Age

With the advent of the information age, university libraries, as core institutions for knowledge management and information services, face unprecedented challenges and opportunities. The rapid development of information technologies, such as big data, cloud computing, and artificial intelligence, provides a broad space for the innovation of university library management and service models. This paper aims to explore the innovative paths of university library management and service models under the background of informatization, analyzing the profound impact of information technologies on library management, service efficiency, resource integration, and user experience. First, the article reviews the impact of the information age on university libraries, pointing out the limitations of traditional management and service models. It then analyzes the necessity of innovating management and service models through informatization, proposes directions for intelligent, personalized, and digitalized services, and discusses the practical applications of information technologies in resource management and services. Finally, the paper summarizes the potential challenges faced by university libraries in the informatization transformation process and proposes corresponding innovative paths and implementation strategies. The study shows that informatization can not only improve the management efficiency of libraries but also provide more personalized and efficient services to students and faculty, driving university libraries towards a more intelligent and modern direction.

Co-creating an Indigenous-led virtual health services model for Indigenous Australians living with chronic disease.

To describe the co-design process and understand consumer perspectives of a virtual health services (VHS) model of primary healthcare delivery, for Indigenous Australians with chronic disease and living in regional, rural, and remote Queensland. Using decolonising methodologies, the study used an Indigenous consensus method to undertake the co-design process and generate findings. For analysis, a qualitative interpretive-description framework was applied. Thematic analysis generated themes, describing consumer perspectives of virtual healthcare models. The Goondir Health Services (Aboriginal Community Controlled Health Organisation) operating clinics in rural and remote Queensland. Fourteen Indigenous VHS consumers who resided in Modified Monash Model 3-7 communities across Queensland, met the eligibility criteria and provided informed consent. Two themes emerged: (1) personalised approaches to autonomous care using digital technologies, with two sub-themes of the benefits and challenges of technology, and the integration of culturally inclusive healthcare elements; (2) person-centred, culturally appropriate healthcare elements within a VHS model, with three sub-themes on the vital role of health coaches, the importance of community connections, and enabling holistic personalised healthcare access. This study provides important consumer perspectives on the potential of VHS models of health care to empower Indigenous healthcare service consumers. VHS holds promise on multiple fronts: improved access, timeliness, continuity of care, and culturally sensitive health care, enabling improved self-management of chronic conditions, and provide crucial support from local Indigenous healthcare providers within the community. Future research on the sustainability and impact of personalised, consumer-centric digital health services in Indigenous populations is essential.

Assessment of dynamic water yield using multi scenario of LULC in Cisadane Watershed West Java, Indonesia

Uncontrolled economic development often leads to land degradation, a decline in ecosystem services, and negative impacts on community welfare. This study employs water yield (WY) modeling as a method for environmental management, aiming to provide a comprehensive understanding of the relationship between Land Use Land Cover (LULC), Land Use Intensity (LUI), and WY to support sustainable natural resource management in the Cisadane Watershed, Indonesia. The objectives include: (1) analyzing changes in WY for 2010, 2015, and 2021; (2) predicting WY for 2030 and 2050 under two scenarios—Business as Usual (BAU) and Protected Forest Area (PFA); (3) assessing the impacts of LULC and climate change on WY; and (4) exploring the relationship between LUI and WY. The Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model calculates actual and predicted WY conditions, while the Coupling Coordination Degree (CCD) analyzes the LULC-WY relationship. Results indicate that the annual WY in 2021 was 215.8 × 108 m³, reflecting a 30.42% increase from 2010. Predictions show an increasing trend in WY under both scenarios for 2030 and 2050 with different magnitudes. Rainfall contributes 88.99% more dominantly to WY than LULC. Additionally, around 50% of districts exhibited unbalanced coordination between LUI and WY in 2010 and 2020. This study reveals the importance of ESs in sustainable watershed management amidst increasing demand for natural resources due to population growth.

Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study.

Strong evidence supports the benefits of exercise following both cardiovascular disease and cancer diagnoses. However, less than one-third of Australians who are referred to exercise rehabilitation complete a program following a cardiac diagnosis. Technological advances make it increasingly possible to embed real-time supervision, tailored exercise prescription, behavior change, and social support into home-based programs. This study aimed to explore demographic and health characteristics associated with the likelihood of breast cancer survivors uptaking a digitally delivered cardiac exercise rehabilitation program and to determine whether this differed according to intervention timing (ie, offered generally, before, during, or after treatment). Secondary aims were to explore the knowledge of cardiac-related treatment side-effects, exercise behavior, additional intervention interests (eg, diet, fatigue management), and service fee capabilities. This cross-sectional study involved a convenience sample of breast cancer survivors recruited via social media. A self-reported questionnaire was used to collect outcomes of interests, including the likelihood of uptaking a digitally delivered cardiac exercise rehabilitation program, and demographic and health characteristics. Descriptive statistics were used to summarize sample characteristics and outcomes. Ordered logistic regression models were used to examine associations between demographic and health characteristics and likelihood of intervention uptake generally, before, during, and after treatment, with odds ratios (ORs) <0.67 or >1.5 defined as clinically meaningful and statistical significance a priori set at P≤.05. A high proportion (194/208, 93%) of the sample (mean age 57, SD 11 years; median BMI=26, IQR 23-31 kg/m2) met recommended physical activity levels at the time of the survey. Living in an outer regional area (compared with living in a major city) was associated with higher odds of uptake in each model (OR 3.86-8.57, 95% CI 1.04-68.47; P=.01-.04). Receiving more cardiotoxic treatments was also associated with higher odds of general uptake (OR 1.42, 95% CI 1.02-1.96; P=.04). There was some evidence that a higher BMI, more comorbid conditions, and lower education (compared with university education) were associated with lower odds of intervention uptake, but findings differed according to intervention timing. Respondents identified the need for better education about the cardiotoxic effects of breast cancer treatment, and the desire for multifaceted rehabilitation interventions that are free or low cost (median Aus $10, IQR 10-15 per session; Aus $1=US $0.69 at time of study). These findings can be used to better inform future research and the development of intervention techniques that are critical to improving the delivery of a digital service model that is effective, equitable, and accessible, specifically, by enhancing digital inclusion, addressing general exercise barriers experienced by chronic disease populations, incorporating multidisciplinary care, and developing affordable delivery models.

The Correlation Between Organizational Characteristics and Performance of African Ports: The Moderating Effect of Governance Reforms

The main objective of this study was to determine the moderating effect of governance reforms on the relationship between organizational characteristics and organizational performance. Structured questions in the form of questionnaires were employed to collect primary data targeting executive managers of 54 container-handling seaport terminals in Anglophone Africa who are conversant with port operations and management. Some data was also obtained from the websites of the ports and regional port management Associations. The response rate was 83.6%. Out of these responses, 46 terminals (78%) were found to have adopted the landlord model while 10 terminals (22%) were found to be using the public service model of operations. The reliability and validity of the indicator items were ascertained through diagnostic tests. Model fitness was confirmed by the use of Standard Root Means Square Residual (SRMR) and Normed Fit Index (NFI). Partial Least Squares Structural Equation Modelling (PLS-SEM) using Smart-PLS 4.0 software was used for data analysis and measurement model estimation to test hypothesis which stated that there is no significant moderating effect of governance reforms on the relationship between organizational characteristics and the performance of seaports in Anglophone Africa. The findings established positive and significant moderating effect of governance reforms on the relationship. The study concluded that the landlord model of governance reforms enhances performance thereby creating competitive advantage for ports in Anglophone African. The study also finds that seaports in Africa, seen from both theoretical and empirical point of view are increasingly identifying themselves with port governance reform models. The study recognizes that the landlord model of port governance is dominant amongst African seaports and concludes with the recommendation that all African seaports that are still operating as public service ports should reform and adopt especially the landlord model in order to experience remarkable performance improvement and maintain competitive advantage.

Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Services Model (IESM) for Sediment Retention (SR) modeling in the Kasilian watershed, Iran. The Kasilian watershed is characterized by multiple sub-watersheds, which vary in their environmental conditions and SR potential, with a total of 19 sub-watersheds. The research was carried out in four phases: mapping SR using the IESM, implementing the Fallback bargaining algorithm based on game theory, applying deep learning algorithms (CNN, LSTM, RNN), and performing statistical analysis for optimal model selection. Based on the results, the analysis of geo-environmental criteria indicated that sub-watersheds with poor conditions regarding rain erosivity, soil erodibility, LS, elevation, and land use faced greater challenges in SR. Utilizing the Fallback bargaining algorithm for sub-watershed prioritization revealed that sub-watershed 5 emerged as having the highest SR potential due to high rain erosivity and a significant LS factor. Spatial SR mapping via game theory algorithm demonstrated that northern sub-watersheds in the Kasilian watershed had greater SR potential. Deep learning algorithms were also utilized for SR distribution modeling, where the RNN model was deemed optimal, yielding error statistics of MAE: 0.05, MSE: 0.04, R2: 0.79, RMSE: 0.20, and AUC: 0.97. The SR distribution patterns demonstrated that RNN and LSTM algorithms exhibited similar classification outcomes, differing from those of the CNN algorithm. The prioritization of sub-watersheds using various approaches revealed that the Fallback bargaining algorithm showed a 47% similarity with the InVEST model results. In contrast, deep learning models such as CNN, LSTM, and ARANN exhibited 84%, 79%, and 79% similarity, respectively. These findings supported SR zonation maps, reinforcing that deep learning models outperformed the game theory algorithm. The Alpha Diversity Indices (ADI) confirmed that the outputs from the LSTM and RNN models showed identical changes across all indices. Minimal variations in the other approaches suggested that all five methods yielded similar results based on diversity indices (including Taxa, Dominance, Simpson, and Equitability), indicating no significant differences among them when compared to the InVEST model in sediment modeling.

The Integration of Large Language Models in Financial Services: From Fraud Detection to Generative AI Applications

This comprehensive article examines the transformative impact of artificial intelligence in the financial services sector, focusing on the evolution from traditional applications to advanced AI systems. Through systematic analysis of implementation frameworks and regulatory considerations, this article demonstrates the sector's technological leadership, evidenced by a 56% higher AI implementation success rate compared to other industries. The article reveals how Large Language Models have revolutionized customer interactions, achieving 92% query resolution accuracy and 89% improvement in user engagement. Documentation and compliance processes have been transformed through AI automation, demonstrating an 82% improvement in real-time compliance monitoring and 89% enhancement in automated reporting accuracy. Financial institutions' established regulatory frameworks and mature governance structures have enabled superior technology integration, with an 82% cloud adoption rate and 85% risk management effectiveness. The article’s analysis of software development infrastructure shows significant advancement, with a 73% improvement in deployment frequency and 82% enhancement in code quality metrics. The article highlights how financial institutions' robust regulatory expertise provides a significant competitive advantage, demonstrated by 89% security compliance and 76% stronger compliance protocols. Drawing from comprehensive industry analyses and empirical evidence, this article contributes to the growing body of literature on AI implementation in regulated industries while providing practical insights for organizations balancing innovation with compliance requirements.

Industry 5.0 – the human centric solution and personalization: challenges and opportunities for libraries

Purpose Industry 5.0 is considering a paradigm shift from mass production to mass personalization and a human-centric model of services using modern technologies. This study aims to examine the Industry 5.0 and its applications in various sectors. It also pinpoints the possible challenges and opportunities for libraries promoting library services, resources, infrastructure and spaces to attract the modern library users. Design/methodology/approach Relevant literature on the topic was searched using keywords including Industry 5.0, modern technologies, artificial intelligence, sustainability and green shift and libraries. The researcher also used his experience and the initiatives of the Punjab University Library, which is the oldest and largest university in Pakistan, to promote personalization and user-centered approaches. Findings Findings revealed challenges and opportunities for libraries. Using Industry 5.0, Libraries have the potential to understand users’ preferences, browsing history and information behavior, and accordingly design their services, resources, infrastructure and spaces. Libraries can serve their modern users through personalization and human centric approach such as content recommendations, alert and notification services, customized research assistant, inclusive and accessibility services, personalized event services and personalization through human books. Practical implications Professional library associations, library schools, library directors and libraries need to proactive learn and apply Industry 5.0 while establishing library services, resources, infrastructure and spaces. Library schools need to design their curriculum considering the Industry 5.0 technologies, tools, and platforms. Originality/value This study provides a pen picture of the Industry 5.0 and its impact on libraries. Potential challenges and opportunities are highlighted. These all initiatives required a visionary library leadership to take initiatives toward human-centered personalized services and attract the modern library users.

Farmer participation in cooperatives enhances productive services in village collectives: a subjective evaluation approach

IntroductionProvision of agricultural productive services to farmers is crucial for integrating them into the modern agricultural system. However, small-scale farmers often face difficulties in accessing these services. One internationally recognized approach to addressing this issue is the government-led provision of productive services to small-scale farmers. In China, production services are provided through village collectives, which are economic organizations established in townships and villages to manage collective assets, develop resources and economy, and provide services to members. Farmer participation in these services can enhance inclusive service dynamics, improving access to services and promoting rural equity.MethodsFarmers’ subjective evaluations directly reflect their access to collective agricultural productive services. This study utilized a binary logit model to analyze the impact and mechanism of farmer participation in cooperatives on the collective supply of agricultural productive services. The study involved 3,900 farmers from 29 provinces (autonomous regions and municipalities) in China.Results and discussionThis study proposes for the first time a “cooperative+collective” model for the provision of productive services. In China, safeguarding social equity is one of the important objectives of the Government, and safeguarding and supporting the interests of small-scale farmers is crucial to safeguarding social equity. Participation in cooperatives increased farmers’ access to agricultural productive services. The analysis revealed that farmers have significantly increased their level of access to agricultural production services through participation in the “cooperative+collective” model of productive services. Farmers have participation in cooperatives helped integrate and expand farmers’ demand, leading to the continuous operation and expansion of business scale, thereby enhancing the collective supply of agricultural productive services. Furthermore, those income low-income, older farmers derived more benefits from participating in cooperatives in terms of accessing these services. This study offers empirical evidence supporting the effectiveness of collective agricultural services.