Operation Of Resources Research Articles

Towards a Trustworthy and Efficient ETL Pipeline for ATM Transaction Data

ATMs generate vast amounts of data daily, which needs to be analyzed and stored. Dealing with this data, also termed big data, is a complex task, and here comes the role of ETL pipelines. ETL pipelines need extensive resources for operations, and their performance optimization is necessary as data must be dealt with in near or even real-time. If the pipeline deals with financial data such as ATM transactions, steps should be taken to ensure the data's security, privacy, confidentiality, and integrity. This can be achieved using Blockchain technology. It is a distributed ledger technology having an immutable nature. It has significant advantages in terms of providing security, but it has disadvantages as well, such as low throughput and transactional latency. If blockchain is used in an ETL pipeline, it will affect the overall performance. So, to prevent the decline in performance, steps should be taken to optimize it. In this paper, we are using parallelization and partitioning as techniques to optimize performance. The primary goal here is to achieve maximum security while maintaining performance.

Strategic Human Resource Planning and Service Delivery in County Governments in Kenya

Strategic human resource management in public sector organizations enables governance arrangements that promote efficient service delivery. However, service delivery in county governments in Kenya gets stymied by both human resource and funding constraints. Due to contextual gaps in the strategic human resource management practises in county governments in Kenya, the study evaluated the role played by strategic human resource planning on service delivery in Kenya. The study adopted a descriptive design and systematically examined the HRM practises by sampling 140 respondents (47 county secretaries, 47 county directors of HRM and 46 municipality managers from municipalities based at the county headquarters of 46 counties) through interviews and questionnaires. The respondents were selected based on their operational and functional human resource management roles in various units in the 47 counties. The research instrument was validated through a review by a panel of supervisors and a pilot testing exercise. The qualitative reports indicated that the county governments can attract qualified and competent persons with critical skill sets to match the various job descriptions and optimally sustain service provisions at the county level. The correlation analysis indicated that service delivery positively correlated with strategic HR planning practises (r = 0.6510, p< 0.05) at 0.05 significance levels, while the regression analysis indicated that strategic HR planning practises explains about 41.61 % variance in service delivery with an effect size (β1 = 0.6451 (t = 8.97, p< 0.05). Based on the findings, the study concludes that strategic human resource planning practises hold a positive and significant potential impact on service delivery in county governments in Kenya. The study recommends proactive planning and proper structuring of the county workforce based on knowledge, skills, abilities, and other characteristics

Reliable and robust scheduling of airport operation resources by simulation optimization feedback and conflict resolution

Reliable and robust airport flight ground service resources collaborative scheduling has emerged as an issue of major concern at congested airports, which has great significance on airport service quality and operation efficiency. Due to the uncertainty of the service process of multiple vehicles in airport ground operations, the combination of simulation and optimization (sim-opt) techniques has been proven to be an effective means to solve the collaborative scheduling problem. However, existing models still have limitations on the reliability of feasible solutions and the robustness of evaluations. In this work, we developed a conflict resolution based sim-opt framework that combines the search capability of mathematical optimization models with the ability of simulation models to describe uncertainty. The dynamic window is introduced to divide the flight zone into multiple sub-intervals, which allows for iterative search and evaluation of the optimal schedule solution while reducing model calculation time. Additionally, a matching algorithm based on slack and tight constraints is proposed to optimize the possible resource requirements of each vehicle, thereby improving the initial schedule solution’s search depth and reliability. Furthermore, a conflict resolution feedback mechanism between adjacent windows is constructed to optimize the scheduling plan, reducing misjudgment and omission of the optimal solution and enhancing the sim-opt framework’s robustness. Finally, experiments on real airport datasets of three different scales demonstrate that our proposed method efficiently allocates resources with a smaller flight delay time as well as reducing total vehicle cost time during the flight ground service process.

Assessment of Organizational Management Capacity of Public Higher Education Institutions: The Case of Sulu State College

This study investigated the organizational management skills of Sulu State College for fiscal year 2023. A purposive sample of 100 people was selected, and several statistical procedures such as weighted mean, standard deviation, t-tests, ANOVA, and Pearson's r were used. According to the findings, the majority of surveyed employees were female, under the age of 30, had less than five years of work experience, had permanent employment, and possessed bachelor's degrees. According to the findings, Sulu State College had a significantly high degree of adaptation, particularly in strategic and operational planning, resource mobilization, communication management, and knowledge development. Interestingly, demographic variables such as gender, age, tenure, job status, and educational background had no significant influence on employees' perceptions of the institution's capacity for management. In addition, those who approved of the organizational management ability for strategic planning had similar perspectives on operational planning, resource mobilization, communication strategy, and knowledge management. This further means that employees from different demographic groups perceived SSC's management capacity similarly. This suggests that the college's practices are viewed as consistent and effective across all employee segments. The study also supported Frederic W. Taylor's Scientific Management Theory, highlighting its importance in improving organizational effectiveness through systematic work processes, task allocation, optimum procedures, performance evaluation, and incentivization. It offers a framework for directing and inspiring employee performance.

Previsões de vazões sub sazonais para barragens hidrelétricas no Sistema Interligado Elétrico Brasileiro

ABSTRACT Inflow prediction on sub-seasonal timescale have the potential for important contributions to the management of water resources in hydroelectric dam operations. These forecasts challenge the limitations of the medium-term and extend it, bridging a long-standing technical-scientific gap in the forecasting field. In Brazil, the use of sub-seasonal hydrological predictions can boost the hydroelectric production of the National Interconnected System (SIN), since inflow forecast in reservoirs of up to 2 weeks are routinely used using a rain-flow model. This study aimed at the statistical evaluation of hydrological forecasts of up to 6 weeks using a hydrological-hydrodynamic model on a continental scale associated with ensemble precipitation forecasts generated by an atmospheric model, producing future streamflow in the continent basins, and consequently at the SIN’s hydroelectric dams. The statistical evaluation was based on deterministic scores typically used by the SIN operating agent, and additionally we assessed the skill of forecasts based on atmospheric models in relation to simpler forecasts based on the climatology of observed inflows. The performance of the forecasts varies according to the season and geographic location, that is, depending on different hydrological regimes. The best performances were obtained in dams located in the southwest and central-west regions, which have well-defined seasonality, while dams in the south showed greater sensitivity in metrics according to the season. The study presented serves as a technical-scientific contribution for agents and decision makers who seek to improve water resource management by incorporating extended forecasts into the operational chain.

Enhancing Smart City Services with AI: A Field Experiment in the Context of Industry 5.0

The practical effects of incorporating artificial intelligence (AI) into Industry 5.0 smart city services are made evident by this empirical research. The use of AI-powered smart traffic management yields a noteworthy 32.94% rise in traffic volume, signifying a noteworthy progression towards improved urban mobility. AI waste management optimization results in a 5.71% increase in collection efficiency, highlighting the importance of operational effectiveness and resource conservation. The control of energy use shows an 8.57% decrease, confirming AI's importance in sustainable energy practices. AI-enhanced public safety offers dependable event prediction, indicating safer cityscapes. These results highlight AI's revolutionary potential and establish smart cities as safe, secure, and sustainable urban environments.

Integrating multiscale data for digital twin-enhanced manufacturing systems: A conceptual and case demonstration

This paper explores the integration of data within digital twin-driven multiscale manufacturing systems, examining the core characteristics of data flows in digital twin (DT) environments tailored to manufacturing. In DT frameworks, data are inherently bidirectional, automated, and real-time, which are critical for maintaining the operational integrity of interconnected manufacturing subsystems. Different scales (from machine tool focus to supply chains) and timelines (from operations events to long term planning) make manufacturing system operation complex. This in turn means data integration across these scales and timelines is inherently complex. This study focuses on the dynamics of data flows in DT-driven manufacturing systems that support both forward and backward communication across DT modules and the central DT platform. The overall DT data scheme manages the supervision and cataloging of actions, which includes technical data related to machinery, processes, resources, and rules, alongside performance metrics across various scales and levels over time. A case study of a DT-driven manufacturing unit illustrates the data flow and interdependency in DT data framework. It highlights how data integration across multiple manufacturing stages can improve operational efficiency, fault diagnosis, and resource optimisation. This study lays the groundwork for the implementation of DT in complex, multiscale manufacturing systems by providing an extendible structured framework.

Blockchain and outsourcing for specialised banking communities

This article explores the potential benefits of implementing blockchain technology and outsourcing contracts in the new market participants called specialised banking communities, formed as part of the banking sector reform in Russia. The authors compare this experience to the European model of banks' unions in institutional protection schemes (IPS), highlighting similarities and differences. They emphasize the objective properties of banking communities as subjects of production cooperation in the financial sector. The article also discusses the parameters for implementing a private blockchain network, specifically focusing on the priorities of PoS (Proof of Stake) and DPoS (Delegated Proof of Stake) consensus algorithms. To optimize operational resources, the authors recommend the use of outsourcing contracts for the better distribution of digital production capacities within these communities. Overall, this article highlights the potential of blockchain technology and outsourcing contracts in improving the efficiency and effectiveness of specialised banking communities in Russia.

Technological Dynamics in Strategic Management: An In-depth Analysis of Implementation, Control, and Evaluation

The contemporary business landscape is intricately interwoven with technology, encompassing diverse tools and innovative processes strategically employed to fulfill organizational goals. This comprehensive exploration delves into the multifaceted role of technology in strategy implementation, control, and evaluation within the framework of strategic management. In strategic planning, technology is instrumental in optimizing operational resources across various facets of a company. To effectively harness employee contributions, a strategically managed company must orchestrate the right balance of input in the product development process. The use of information systems emerges as a linchpin for maintaining competitive advantage by enabling companies to respond dynamically to evolving business markets. Whether adapting to changes in a dynamic market or consolidating gains in a stable one, information systems play a vital role in strategic adaptability. The primary focus of this study is a meticulous analysis of the effect of information technology on strategy implementation, control, and evaluation. Adopting a desktop research methodology, this investigation unravels the intricate role of information communication technology infrastructure as a key driver for effective and efficient strategic management processes. However, it underscores the critical need for organizations to carefully select the type of IT infrastructure, as inappropriate choices can introduce confusion and hinder the seamless flow of the strategic management process.

Indução de calos, regeneração de brotos e conservação de tamareiras (Phoenix dactylifera) cultivadas in vitro

Abstract Date palm (Phoenix dactylifera( cv. Medjool is a significant plant, grown in Jordan. In vitro propagation gives operative resources for the significant propagation of date palms. Maximum callus induction was achieved from MS media supplemented with benzyl amino purine (BA) and naphthalene acetic acid (NAA). The highest plant regeneration was recorded on MS medium supplemented with dichlorophenoxyacetic acid (2,4-D) at 3.0 mg/L, and BA at 2.0 mg/L. A significant positive impact on shoot formation was recorded on MS medium supplemented with 1.0 mg/L BA with 0.5 to 1.5 mg/L NAA in both liquid and solid MS medium. To maintain survival and regrowth capacity, sucrose could be used for medium-term conservation at lower concentrations (0.1 - 0.2 M). In addition, sorbitol might be used at 0.1 M to maintain the quality of explants. The vitrification technique for long-term preservation was experimented. Embryogenic callus was used as explants for conservation. The survival as well as regrowth percentages of non-cryopreserved and cryopreserved tissue cultures were affected by their duration of treatment with the vitrification solution plant vitrification solution 2 (PVS2) and modified plant vitrification solution 2 (MPVS2). Results showed that using PVS2 for 60 minutes for cryopreserved calli was more effective than other treatments. After storage in liquid nitrogen, the highest survival rate (65%) and regrowth rate (40%) were achieved.

Прогнозування залишкового ресурсу рейок залізничних доріг

The article is devoted to defining modern methods for assessing the residual resource of railway tracks. Since steel rails are one of the main components of railway transportation, predicting the service life and determining the residual resource of rails are important for ensuring the safe operation of railways. The main sectoral international and domestic regulatory documents have been analyzed, and the general state of the problem has been investigated. It has been estab-lished that the service life of railway tracks is determined mainly by the degree of dynamic loading, the number of initial defects during manufacture, the quality of steel rails, and the in-fluence of climatic and electromagnetic loads. Some methods and approaches to determining the residual resource in the world practice, which are based on experimental laboratory tests for the durability of decommissioned defective rails, have been studied. On the basis of the discov-ered mechanisms for the formation and development of defects, some specific recommenda-tions have been developed in order to increase the operational resource of railway tracks. How-ever, these methods do not take into account the stochastic aspects of the physics of degradation and destruction processes. Therefore, the most effective method for determining the residual resource of various objects is the probabilistic-physical method, which is based on the analysis of the dynamics of the change of the determining parameter. In accordance with the methodolo-gy of DSTU 8646:2016, given the data on the initial, current, and limited missed tonnage in which there are no rail failures, the calculation of the residual resource of railway rails is given. Calculations of the residual resource using the probabilistic-physical method on the example of heat-treated rails of passenger railways and using the relative values of the resource parameter have shown results that correspond to statistical data from the operation. The use of the method based on DM-distribution of failures helps to extend the life of rails and reduce operating costs by optimizing maintenance and repair processes.

The Effect of Job Satisfaction on Work Accidents: Empirical Study in Algerian Electricity and Gas Company − Hassi Messaoud

Job satisfaction is the result of an employee’s perception of their work and the impact of their actions, attitudes and values on personal and professional life. Potential consequences of job discontentment may include high staff turnover, increased absenteeism, alcohol or drug addiction, and accidents at the workplace. The article aims to develop a methodology for assessing employee job satisfaction to substantiate the cause-and-effect relationship between job satisfaction and the number of workplace accidents. The subject of the study is the Algerian Electricity and Gas Company in Hassi Messaoud, which employs more than 82 thousand employees and has more than 11 million electricity consumers and more than 7 million gas consumers. The study is based on a survey of employees of the operation and human resources departments, for which a random sample was formed, and 84.16% of the questionnaires were valid for analysis. The Cronbach’s Alpha coefficient was used to assess the internal consistency of the questionnaire, which professional experts reviewed. The SPSS statistical package was used to process the data. The study showed that among all dimensions of job satisfaction, the most important for the surveyed respondents were satisfaction with the leadership style and job stability, while less important were workload, satisfaction with the work environment, and remuneration. Future research is needed to examine the factors that will contribute to the reduction of workplace accidents; further efforts are needed to understand the many aspects that affect other sectors of the economy and different industries.

Implementing an integrated care pathway for Somatic Symptoms and Related Disorders (SSRDs) in paediatric population

Introduction: Somatic symptom and related disorders (SSRDs) are commonly encountered in pediatric hospital settings. These children and youth, who present with physical symptoms (e.g., headache, abdominal pain, dizziness) of emotional distress (e.g., anxiety, stress) are diagnostically and psychosocially complex, posing significant challenges for medical and behavioral health care providers. Children and adolescents with SSRDs have high health system utilization and costs and present in multiple clinical settings, have high school absenteeism, and are at elevated risk of iatrogenic harm and missed diagnoses. Patients and their caregivers present with variable readiness to engage in mental health assessment and treatment, with only 40% receiving physician-based mental health care within a year of diagnosis. There is a lack of standardization of care across and within institutions for youth with these disorders. As part of the hospital’s broader strategic direction to integrate physical and mental health care, a SSRD pathway, was developed to address care needs of one of the highest resource intensive populations at a tertiary care hospital. 
 Methods: In 2021, a survey was conducted by our hospital’s implementation team to understand hospital stakeholder priorities when considering the many areas where new integrated care project could be launched. Stakeholders engaged in the survey included physician and operational leaders, clinical staff across the spectrum of disciplines, and a youth and family advisory panel. Focus groups (n = 57) were also conducted to solicit input and feedback. The results highlighted the need to develop a specialized care pathway for children and youth with SSRD focused on integrating physical and mental health care and support with system navigation. Using a logic model with iterative presentations to key stakeholders, the design phase included an interdisciplinary team approach with project management and operational resources to support project implementation and evaluation. Care pathways were developed based on a patient’s readiness to engage in mental health treatment and where they we along their diagnostic odyssey and care journey and intensity of resources required to support their care needs.
 Integrated Care Pathway: As part of the pilot pathway, a patient’s care journey will be planned in accordance with their level of readiness to accept both a somatization diagnosis and a need for mental health treatment. Patients who are partially or non-receptive to mental health supports will have access to a care manager with both physical and mental health expertise. The care manager will engage with families in shifting their focus and understanding about the mind-body connection and provide extended support with care navigation. Patients who are receptive to mental health treatments, will be referred to a group treatment program led by psychiatry and psychology with a focus on psychoeducation relating to the mind-body connection. Patients in this pathway will also have access to occupational therapy and physiotherapy resources to support with restoring function and improving school attendance, when needed. Pilot evaluation will include process and outcome measures such as number of children engaged in this pathway, time to return to functioning, completion of various mental health measures, and health resource utilization."

Assessment of the operational resource of the drum of the boiler unit of the TPP power unit damaged during its operation

The methodology to estimate the service life of the drum of the boiler unit of a power plant with operational damages is considered. It developed on the basis of three-dimensional thermoelastic plasticity and the finite element method.

A relax-and-restrict matheuristic for supply chain network design with facility location and customer due date flexibility

In this paper, we study a supply chain network design problem that takes into account several real-world features. Focusing on the growing use of third-party warehouse services, the paper discusses the creation of a network that can adjust to the needs of businesses to enhance operational flexibility and resource utilization. Moreover, it addresses the challenge of delivery date flexibility where the conventional single-day delivery is replaced with a range of possible delivery dates. Considering these two types of flexibility, we formulate a supply chain network design problem that includes all production, inventory, location, and distribution decisions. We propose a solution approach called the relax-and-restrict matheuristic. This approach iteratively solves three versions of the model: two relaxed versions and a restricted one. Through a series of computational experiments, we highlight the efficiency of the proposed method. Furthermore, managerial insights are presented on the role of flexibility in supply chain network design and how it relates to economies of scale. The results demonstrate how synergistic effects between two types of flexibility improve logistics performance by achieving cost-effectiveness.

Paediatric health system impact of an early respiratory viral season in Eastern Ontario, Canada: A descriptive analysis

Abstract Objectives We examined trends in patient volumes and care intensity among children admitted with laboratory-confirmed respiratory viral infections over 5 years in Ottawa, following the most recent and intense respiratory viral season experienced throughout the Ontario paediatric health system. Methods This was a retrospective cohort study of patients at the Children’s Hospital of Eastern Ontario (CHEO) in Ottawa, who were diagnosed with a laboratory-confirmed respiratory viral infection in the first 72 h of admission between October 22, 2017 and March 25, 2023. Their admissions were stratified by age groups and level of care intensity, based on unit of admission and/or additional ventilatory needs, with Level 3 patients requiring intensive care unit admission, and evaluated for trends over six surveillance periods that began in Week 35 (early September) and ended in Week 34 (end-August) of the following year. Results During the surveillance period from August 28, 2022 to March 25, 2023, there was an early, steep and twofold increase in admissions due to respiratory viral infections compared to previous periods, driven largely by Respiratory Syncytial Virus and Influenza A. Despite similar age distributions, there was a larger volume of Level 2 and 3 admissions, and higher proportion of patients requiring Level 2 care intensity in inpatient medicine units (23.4% versus 10.4% in pre-pandemic years; P < 0.001). Conclusions The most recent viral season was associated with elevated volumes and higher inpatient acuity compared to previous years and underscores the need for additional operational and human health resources to support paediatric health systems through these predictable surge periods.

Large-scale Data Mining Method based on Clustering Algorithm Combined with MAPREDUCE

With the continuous deepening and development of information technology, the diversity and amount of information in data continue to grow. Effectively mining these text data to extract valuable content has become an urgent task in the field of data research. This study combines the MapReduce distributed system with the K-means clustering algorithm to meet the challenges of large-scale data mining. At the same time, the paper use a distributed caching mechanism to solve the problem of repeated application of resources for multiple MapReduce collaborative operations and improve data mining efficiency. The combination of MapReduce's distributed computing and the advantages of K-means clustering algorithm provides an efficient and scalable method for large-scale data mining. Experimental results combining internal and external indicators show that the advantage of combining K-means with MapReduce is to fully utilize the distributed and parallel computing characteristics of MapReduce, providing users with an efficient and scalable data mining tool. Through this research, the paper provide new methods and insights for large-scale data mining, improving the efficiency and accuracy of data mining.

Mystical Veiled Configuration of Agile Operant Resources for Profitability in Family Businesses of Pakistan

Resources act as an arm which often facilitates firm’s sustainable performance in volatile business markets. Few studies have emphasized the agile operant resources that propel family-owned firm’s profitability. The aim of this article is to show the concealed role of agile operant resources of firm owners that expedite family-owned businesses in profitability to ensure a firm’s sustainability. This research uses relativistic perspective based on interpretive worldview. For data collection, purposive sampling is used. While directing interviews, open-ended questions (interview guide) along with observations are used. Abductive research accompanied by Gioia methodology has been utilized for broader themes of discussion. The findings indicated relationship proneness, reputational resources, religious resources, agile soft skills, performance efficiency and excellency as hidden agile intangible resources which facilitate family firms of catering profitability. The paper presents a conceptual framework that highlights how family-owned firms can ensure profitability. The proposed research framework contributes to the present literature of family-owned firms by inspecting the mystical role of agile resources. It opens new avenues for practitioners to work on these resources that support to enhance profitability.

ENHANCEMENT OF BRAND LOVE RESONANCE CAPABILITIES ON DESTINATION LOYALTY: S-DL PERSPECTIVE

The emergence of inconsistencies in study findings regarding destination brands does not contribute to an increase in customer loyalty toward tourist destinations. Furthermore, exploring the capacity to expand affection for the brand is a meaningful topic within the tourism business phenomenon. Therefore, it is crucial to examine how well the tourism business can reflect the affection for the destination brand. This study aimed to explore and develop the conceptual and empirical relationship between brand authenticity and destination loyalty. To conduct the analysis, a quantitative method was selected, using a sample of 297 respondents in Central Java, Indonesia. The data collected from distributing questionnaires were then processed using SEM-PLS software. Furthermore, the study was grounded in the Service-Dominant Logic perspective and focused on operant resources with the potential to enhance the value of natural destinations by capturing the emotional resonance of the destination brand. The results showed that loyalty goals were empirically and practically increased by creating a context-based model and leveraging the capability of brand love resonance. The approach addressed the gaps in prior studies and provided tourism actors with the means to consider external characteristics.

Hassles of platform-based food couriers: An Asian case study

IntroductionThe burgeoning development of Asian food platforms has attracted many workers intending to engage in gig work as platform-based couriers. This study explored the hassles experienced by food couriers working for platforms through content analysis. MethodsIn-depth interviews were conducted with 27 participants from Mainland China, Taiwan, and Singapore to collect textual data. ResultsThe results revealed five types of hassles experienced by platform-based food couriers: hassles from food platforms, hassles from on-demand restaurants, hassles during food delivery rides, hassles from customers, and hassles in personal life. Hassles from food platforms are caused by unreasonable revenue calculation methods, unreasonable management approaches, the technological problems of platform systems, inadequacy in courier insurance and welfare, and ineffective job training. Hassles during food delivery rides include higher safety risks, uncontrollable emergencies and situations, inadequacies in transportation facilities, unfriendly treatment from doormen and residents, and theft during food delivery. Hassles from on-demand restaurants include bearing responsibilities for loss and penalties caused by restaurant management and unfriendly attitudes toward couriers. Hassles from customers entail malicious comments, miscommunication with customers, customer behaviors of taking advantage of couriers, customer cancellations during the food delivery process, and unreasonable customer demands. Finally, hassles in personal life include work-related illness, work-life conflict, work precarity, and stereotyping toward couriers. ConclusionThe findings of this study provide a pertinent reference for stakeholders, including food platforms,on-demand restaurants, local transport administration and commnunity, to improve their operational and human resource management systems in the food platform-based gig economy model.