Operational Framework Research Articles

A Study on General Staffing Services and Manpower Providing Services of QUESS CORP LTD. in Ahmedabad

This research paper presents a comprehensive study of general staffing services and manpower providing services offered by Quess Corp in Ahmedabad. The study aims to explore the operational frameworks, client engagement strategies, and service delivery mechanisms that make Quess Corp a significant player in the staffing industry. Through a combination of qualitative and quantitative research methods, including interviews with company executives, surveys of client companies, and analysis of industry reports, the paper delves into the challenges and opportunities faced by the company in the rapidly evolving employment landscape of Ahmedabad. Key findings indicate that Quess Corp's emphasis on technology- driven solutions, robust training programs, and strategic partnerships has significantly enhanced its service efficiency and client satisfaction levels. Additionally, the study highlights the critical role of adaptive workforce solutions in addressing the dynamic needs of businesses in Ahmedabad. The paper concludes with recommendations for leveraging technological advancements and optimizing human resource management practices to further strengthen Quess Corp's market position. Quess Corp’s general staffing services encompass temporary staffing, contract staffing, and permanent staffing solutions. The company’s comprehensive approach ensures that it can meet the diverse staffing needs of its clients, ranging from short- term project-based requirements to long-term strategic hires. The study explores how Quess Corp tailors its services to suit the specific demands of various sectors, including IT, manufacturing, retail, and healthcare. The company utilizes advanced technology platforms to manage its talent pool, ensuring quick and accurate matching of candidates to job requirements. This technological integration is a significant factor in Quess Corp’s ability to deliver high- quality staffing solutions efficiently

Enhancing rural healthcare through internet-based remote collaborative outpatient services: A comprehensive evaluation in Changzhi, Shanxi Province.

The advancement of digital technology, particularly telemedicine, has become crucial in improving healthcare access in rural areas. By integrating cloud computing and mHealth technologies, Internet-based Collaborative Outpatient Clinics offer a promising solution to overcome the limitations of traditional healthcare delivery in underserved communities. A trial was conducted in 4 counties of Changzhi City in Shanxi Province, China. The system extended to 495 rural communities and served over 5000 rural residents. Deep learning algorithms were employed to analyze medical data patterns to increase the accuracy of diagnoses and the quality of personalized treatment recommendations. After the implementation of the system, there was a significant improvement in the satisfaction levels of rural residents regarding medical services; the accuracy of medical consultations increased by 30%, and the convenience of medical access improved by 50%. There was also a notable enhancement in overall health management. Satisfaction rates among healthcare professionals and rural inhabitants were over 90% and 85%, respectively, indicating that the system has had a significant positive impact on the quality of health-care services. The study confirms the feasibility of implementing telemedicine services in rural areas and offers evidence and an operational framework for promoting innovative healthcare models on a large scale.

The Territorial Space of Green Transition / Transitioning from One Territorial System to Another through Nature-based Solutions - The Case of Finiq Municipality

Climate change has been recognised by many, be it nations or international organizations, as an existential threat to the world. In this context, the EU has introduced the European Green Deal, with the aim of transforming the continent into a modern, climate- neutral, resource-efficient, and competitive economy. In this scenario, the goals set by the EU are: no net emissions of greenhouse gases by 2050; economic growth decoupled from resource use; no person and no place left behind. The new growth strategy of the EU was also recognized by the Western Balkan Countries (nonmembers of the EU) through the Sofia Declaration in November 2020, acknowledging the need for transformation of the region to turn sustainability and resilience challenges into opportunities and transpose elements of the European Green Deal in all interrelated priority sectors. Those sectors are represented by five main pillars: Climate, energy, mobility; Circular economy; Depollution; Sustainable agriculture and food production; and Biodiversity. Even though it is a multi-sectorial approach, it does not directly address the territorial aspect. The territory is rather seen as a common dominator of the five pillars. This resizes the question, what is the spatial domain of green transition in a given territory? In the Albanian context, after the territorial reform of 2014, the territory was consolidated into 61 municipalities. In the framework of the General Local Plans, each municipality cat- egorized its territory into five main territorial systems: Urban; Nature; Agriculture; Water; and Infrastructure. Through the case of Finiq Municipality, we will further analyze the complexity of territorial systems in a given territory. For the purpose of analysis, a buffer of 1 km was ap- plied to the territory of Finiq Municipality (Bistrica River Basin) where the predominance of a territorial system over another and the mixture of them was evaluated. After this evaluation, an operational framework was conceptualized using the most relevant documents related to climate change, from the international level to the local level, that are pertinent to the case of Finiq Municipality. Taking into account the evidenced framework of green transition for the selected area, it is easier to propose effective nature-based solutions to be implemented in the transitional space between territorial systems. This was done by analyzing the concept of nature-based solutions, at first, and by reviewing case studies that deal with similar societal challenges as the ones identified in Finiq Municipality. The main focus will be the area surrendering the Bistrica River, for the simple fact that it flows from the east, where we find a high predominance of the natural landscape, to the west where a predominance of human activity is more evident. Through the river, we will illustrate the unfolding of what was explained above.

Enhancing outcomes in IVF laboratories: navigating the human element through leadership and emotional intelligence.

We analyze the psychological and interpersonal aspects of in vitro fertilization (IVF)laboratory operations, highlighting how human factors such as leadership style, emotionalintelligence (EI), and team dynamics influence the effectiveness of IVF treatments. We alsoexamine the role of personality dynamics in team functioning and the adverse effects of toxicbehaviors on laboratory performance and morale. The manuscript comprehensively reviews contemporary literature about leadership styles, EI,and team dynamics. It also includes a detailed analysis of the ramifications of their operationswithin IVF laboratories. The primary emphasis resides in determining how these humanfactors contribute to the overall efficacy of IVF treatments and following patient outcomes. The findings suggest that staff well-being is not just a concern, but a critical factor inenhancing successful IVF outcomes. Leadership styles that promote emotional intelligenceand healthy team dynamics significantly improve laboratory performance. On the other hand,a toxic workplace negatively impacts staff well-being and patient outcomes. The studyhighlights the need for management development and EI training as vital components ofsuccessful IVF laboratory operations, reassuring the audience that these measures can lead toimproved outcomes. This manuscript presents the case for an equitable operational framework that recognizes thevalue of soft skills and technical expertise in IVF laboratories. It underscores the significanceof emphasizing the human element in reproductive medicine, proposing that by prioritizingempathy and delineating the contributions of the human factor, the field can achieve itsmaximum potential and enhance outcomes for staff members and patients. The pivotal role offuture research in empirically substantiating the influence of these human factors in realizingsuccessful IVF laboratories cannot be overstated, and we urge the academic community toparticipate actively in this crucial area of research.

Optimization of Microgrid fed from Hybrid Energy Sources using the Swarm Intelligence

To combat the widening gap between demand and supply, it is crucial to include renewableenergy sources as a Distributed Generation newline (DG). Despite their usefulness in reducing the gap, REsources place a heavy pressure on generation scheduling, particularly wind power. Utilities are compelledto use wind curtailment due to fluctuations in wind energy output, which reduces the incentive to switch torenewable sources of power. Demand Side Management (DSM) is one approach to this problem, since itadjusts demand in real time to match generation while the grid is operating. Conventional DemandResponse (DR) systems were created to minimise consumption during peak hours by arranging userloads in exchange for incentives. The Smart Grid (SG) concept provides a high-tech means ofcommunication for keeping tabs on and managing the power grid. This motivated the creation of asophisticated DR technique known as Demand Dispatch (DD), in which consumption is timesynchronizedwith electricity production. In order to deal with the fluctuations in wind power production,this thesis proposes a DD method. The entities involved in DD and the way in which data is sharedbetween them are laid out in an operational framework. In order to find and evaluate all of the studiesthat have been published on a certain topic, researchers often undertake systematic literature reviews.

Snort Versus Suricata in Intrusion Detection

In the contemporary digital age, the increasing complexity and frequency of cyber threats underscore the need for efficient network intrusion detection systems (NIDS). This paper provides a comprehensive comparative analysis of two prominent NIDS, Snort and Suricata, focusing on their architecture, detection capabilities, and performance metrics. It explores the historical development, operational frameworks, and technological foundations of these systems, highlighting their respective benefits and limitations in different network environments. Snort, known for its extensive rule-based detection, and Suricata, which leverages multi-threading for high-speed traffic handling, are evaluated based on specific security requirements, including traffic volumes, processing speeds, and threat types. The paper also discusses future advancements in NIDS, particularly through the integration of machine learning and AI, to enhance predictive and adaptive capabilities. This analysis aims to inform cybersecurity professionals about the qualifications and capabilities of Snort and Suricata, providing insights for their effective deployment in modern network security infrastructures. The discussion on future trends emphasizes the importance of continuous improvement in NIDS to address evolving cyber threats)

How can we improve buyer experiences for the operations of e-grocery platforms? Towards a unified framework for digital service operations

Electronic grocery (e-grocery) retailing has increasingly gained prominence all over the world, with India being no exception. However, the Indian e-grocery industry still has room to grow. Existing studies have not attempted to focus holistically on factors related to service operations, such as customer service and digital platforms. We undertake two case studies, each having an exploratory and a confirmatory study, on India's two popular e-grocery apps. We mine 273,000 and 254,000 buyer reviews to identify factors affecting their experiences in the exploratory studies. We model these factors through the lens of customer-dominant logic (CDL), service-dominant logic (SDL), and signaling theory. We develop an overarching framework by mapping these factors to theoretical lexicons for the confirmatory studies. Multiple econometric analysis helps us to confirm that trust in the vendor, consumer learning, retailer visibility, pricing, diagnosticity of product description, third-party product assurances, navigability, website informativeness, and perceived information protection influence the buyer experience of both e-grocery platforms significantly. These insights can help managers take appropriate decisions to improve buyer experience and thus expand their customer base.

Drafting a Cybersecurity Standard for Outer Space Missions: On Critical Infrastructure, China, and the Indispensability of a Global Inclusive Approach

Despite limited progress within international institutions, the need for articulating a regulatory framework for cyber operations in outer space is becoming a pressing concern. One precondition for regulation is to share cybersecurity and outer-space common terminology that can inform the negotiation of standards, policies and laws. While the UN Institute for Disarmament Research has recently issued a baseline policy glossary, binding technical definitions are missing, and the lack of a binding international cybersecurity regime adds to the obsolescence of a binding outer-space regime tracing back to half a century ago. As the IEEE SA embarks on the drafting of the first-ever technical standard for cybersecure-by- design outer-space missions, scoping and conceptual challenges abound. Technical standards are US-centred, non-binding, engineering-intensive exercises, where lawyers and Asian jurisdictions are only marginally involved; nevertheless, as China’s framework for cybersecurity is refined and its involvement in outer-space policing deepens, its disengagement from Western-driven standard-setting bodies appears unsustainable. Drawing on the specific challenge of defining what makes a cyber system ‘mission-critical’, I expose the necessity to examine how domestic cybersecurity laws from a diverse range of States identify ‘critical’ information infrastructure. Generalising therefrom, I advocate a jurisdictionally inclusive process that combines American supremacy in technical standard-setting for outer-space missions with Chinese normative contributions to cybersecurity regulation, including on data localisation and mandatory multilevel cyber-hygiene requirements. I further argue that involving legal experts from a diverse range of jurisdictions and sociolegal cultures may enhance the global reception of standardisation outputs, thus securing higher degrees of voluntary compliance therewith. This could foster cooperation and promote regional and global satellite cybersecurity.

A Comprehensive Operational Framework for Dispatching Mobile EV Charging Station

A Comprehensive Operational Framework for Dispatching Mobile EV Charging Station

High-risk, Critical Decision-making under Time Pressure: Some Parallels and Learning from Split-second Choices Made in Extreme Adventure Sports

In a world beset with crises, everyone from professional manager down to the layman is keen to understand how to make quick decisions under emerging disruptive situations. This article, employing self-reflective analysis of critical incidents, describes the author’s personal experiences from the field of adventure sports categorised as high-risk, critical decisions, involving split-second choices—while sky-diving and flying—to trace the mental cognitive processes from a decision maker’s perspective. This is used to discuss and establish a practitioners’ operational framework for high-risk, critical decision scenarios, drawing upon established theories and frameworks from cognitive, social and psychological decision research.

Innovation capability, employee engagement, and organizational performance: Basis for competitive business operations framework

Innovation capability, employee engagement, and organizational performance: Basis for competitive business operations framework

Koopman analysis of the singularly perturbed van der Pol oscillator.

The Koopman operator framework holds promise for spectral analysis of nonlinear dynamical systems based on linear operators. Eigenvalues and eigenfunctions of the Koopman operator, the so-called Koopman eigenvalues and Koopman eigenfunctions, respectively, mirror global properties of the system's flow. In this paper, we perform the Koopman analysis of the singularly perturbed van der Pol system. First, we show the spectral signature depending on singular perturbation: how two Koopman principal eigenvalues are ordered and what distinct shapes emerge in their associated Koopman eigenfunctions. Second, we discuss the singular limit of the Koopman operator, which is derived through the concatenation of Koopman operators for the fast and slow subsystems. From the spectral properties of the Koopman operator for the singularly perturbed system and the singular limit, we suggest that the Koopman eigenfunctions inherit geometric properties of the singularly perturbed system. These results are applicable to general planar singularly perturbed systems with stable limit cycles.

Development of the green policy strategies of enterprises: а decent work

This research examines the symbiotic relationship between the creation of green jobs within enterprises, economic growth, and the consequential reduction in CO2 emissions. It delves into the multifaceted advantages derived from integrating sustainable employment practices within businesses, emphasising their substantial contribution to fostering economic prosperity while concurrently mitigating adverse CO2 emissions. The main goals of this article are as follows: to study the experience of developed countries regarding the costs of their sustainable development strategies and the effects that have been achieved; generalise the main tools for ensuring decent work on the example of large companies, evaluate the relationship between reducing nitrogen dioxide emissions and providing green jobs. A comparison of financial instruments for maintaining green workplaces at enterprises in developed countries (USA, Norway, China, Germany, Sweden, and Poland) has been made. CO2 emissions reduction strategies, expenditure, funding, financing, and green jobs by countries have been analyzed. By investing in green initiatives and restructuring operational frameworks to prioritise sustainability, enterprises actively mitigate their carbon footprint, ultimately contributing to a greener and more environmentally conscious business landscape. This comprehensive study explores recent advancements in green job creation and renewable energy development in different countries of the world. The strategies of reducing CO₂ emissions by such companies as IKEA, Google, Unilever, and Tesla show not only positively impact the environment but can also be profitable for their businesses and guarantee decent work for their employees.

The Intersection Between E-Tax Administration, Sustainable Public Procurement and Sustainable Public Performance: A Review Conceptual Framework

Objective: This study centers on exploring, from the prisms of previous established studies, the influence of e-tax administration and sustainable public procurement on sustainable development and growth. This aims to find out how the employment and engagement of the intervention of e-taxation and sustainable public procurement could be harnessed to promote an overall sustainable development in a country, especially in an African context. It is on this note the study attempts to direct its focus, albeit partial, on the West African countries of Nigeria and Ghana. Theoretical framework: The study relies on the theories of Technology Acceptance Model, Stewardship Theory and Sustainable Development Theory. Technology Acceptance Model posits that technology usage promotes efficiency and transparency. By extension, e-taxation and sustainable public procurement will promote development since it relies on technology for its framework of operation. Method: This study engages a literature review approach, establishes empirical connections, and relates them with the current study. Also, theoretical cues were taken from established studies to explain the focus of the study. Result and conclusion: Following empirical and theoretical directions of previous studies, it is suggested that application of e-tax administration and sustainable public procurement frameworks could promote both social and economic development in a country, especially in Africa, Nigeria, and Ghana. Implication of the research: This study is significant in promoting the importance of sustainable framework in national growth and development. Apart from promoting sustainable development, e-taxation, and sustainable public procurement, when applied helps to curtail corruption and criminal leakages of resources which have been severally attributed to public management style in Africa. Also, the study brings to the fore the roadmap to justice, equitability and inclusion using the framework of e-taxation and sustainable public procurement. Originality/value: This study is distinct in the sense that it provides a pragmatic benefits of embracing sustainability approach, rather than eulogizing its intrinsic value alone. Sustainability intrinsic values include promoting inclusion and engendering environmental safety. However, this study goes further to showcase how sustainability in public procurement with the inoculation of e-taxation administration could stop corruption and abort resources leakages.

Key influence factors of carbon emissions in Malaysian construction operations

The urgency to mitigate carbon emissions has gained significant societal attention as the consequences of climate change continue to unfold. There is a notable scarcity of studies conducted on carbon emissions for construction operations. Hence, the aim is to identify the key influence factor of carbon emissions to develop a carbon reduction framework for construction operations. A survey was conducted with 297 Malaysian construction stakeholders to analyze 18 factors. Descriptive and Rasch analysis were used. Results revealed the reliability and validity of the model, which could help to explore ways to reduce carbon emissions during the construction phase. The findings indicate that a gradual transformation process is necessary to expedite the transition towards a low-carbon construction. The research enhances the existing literature by emphasising the key factors for stakeholders who aim to efficiently manage carbon emissions during a construction project. There are different ideas on how to estimate and manage carbon emissions in construction projects, but there are no standardized ways. This study looks into the main factors that contribute to the generation of carbon emissions in construction, to identify ways to reduce them evaluating these factors from the perspective of different stakeholders.

A framework for natural resource management with geospatial machine learning: a case study of the 2021 Almora forest fires

BackgroundWildfires have a substantial impact on air quality and ecosystems by releasing greenhouse gases (GHGs), trace gases, and aerosols into the atmosphere. These wildfires produce both light-absorbing and merely scattering aerosols that can act as cloud condensation nuclei, altering cloud reflectivity, cloud lifetime, and precipitation frequency. Uttarakhand province in India experiences frequent wildfires that affect its protected ecosystems. Thus, a natural resource management system is needed in this region to assess the impact of wildfire hazards on land and atmosphere. We conducted an analysis of a severe fire event that occurred between January and April 2021 in the Kumaun region of Uttarakhand, by utilizing open-source geospatial data. Near-real-time satellite observations of pre- and post-fire conditions within the study area were used to detect changes in land and atmosphere. Supervised machine learning algorithm was also implemented to estimate burned above ground biomass (AGB) to monitor biomass stock.ResultsThe study found that 21.75% of the total burned area burned with moderate to high severity, resulting in a decreased Soil Adjusted Vegetation Index value (> 0.3), a reduced Normalized Differential Moisture Index value (> 0.4), and a lowered Normalized Differential Vegetation Index (> 0.5). The AGB estimate demonstrated a significant simple determination (r2 = 0.001702) and probability (P < 2.2 10−16), along with a positive correlation (r ≤ 0.24) with vegetation and soil indices. The algorithm predicted that 17.56 tonnes of biomass per hectare burned in the Kumaun forests. This fire incident resulted in increased emissions of carbon dioxide (CO2; ~ 0.8 10−4 kg carbon h−1), methane (CH4; ~ 200 10−9 mol fraction in dry air), carbon monoxide (CO; 2000 1015 molecules cm−2 total column), and formaldehyde (HCHO; 3500 1013 molecules cm−2 total column), along with increased aerosol optical thickness (varying from 0.2 to 0.5).ConclusionsWe believe that our proposed operational framework for managing natural resources and assessing the impact of natural hazards can be used to efficiently monitor near-real-time forest-fire-caused changes in land and atmosphere. This method makes use of openly accessible geospatial data that can be employed for several objectives, including monitoring carbon stocks, greenhouse gas emissions, criterion air pollution, and radiative forcing of the climate, among many others. Our proposed framework will assist policymakers and the scientific community in mitigating climate change problems and in developing adaptation policies.

Evaluation of Information Technology Services Using the Information Technology Infrastructure Library Framework

This study aims to evaluate PT Gramedia Asri Media to find out whether the company's IT services meet the best standards of the ITIL V3 Service Operations framework. Service Operations focus includes Problem Management, Incident Management, Access Management, Request Fulfillment, and Event Management. Evaluation is carried out in four stages: planning, field inspection, reporting, and follow-up. The results indicate the maturity level of IT service implementation. For data collection, questionnaires were distributed to five people who were surveyed and interviewed with the heads of engineering services and support staff. The results show that the company's IT service maturity level is at level one. In addition, this research produced seventy suggestions for companies to improve their IT services. The results show that almost all suggestions were well received by the company, and some of them have been implemented at PT Gramedia Asri Media. However, of course, with the problems discovered from this research, there will be a desire to improve service and performance.

THE ROLE OF SUSTAINABLE LEADERSHIP IN ENCOURAGING GREEN BUSINESS PRACTICES AT PERUM BULOG PALOPO BRANCH

This study aims to explore the influence of sustainable leadership within BULOG and its alignment with green business practices. Employing a qualitative method of descriptive analysis, the research follows a three-step procedure for data analysis, which encompasses data reduction, data display, and conclusion derivation. Triangulation, a method involving the examination of data using different approaches from the same source, is adopted to ensure data credibility. The findings indicate that sustainable leadership plays a pivotal role in bolstering green business initiatives within BULOG's Palopo Branch. Additionally, the results highlight that sustainability considerations are seamlessly integrated into the company's operational framework, fostering an environment conducive to a green economy

Research on Multi-Microgrid Electricity–Carbon Collaborative Sharing and Benefit Allocation Based on Emergy Value and Carbon Trading

In response to climate change, the proportion of renewable energy penetration is increasing daily. However, there is a lack of flexible energy transfer mechanisms. The optimization effect of low-carbon economic dispatch in a single park is limited. In the context of the sharing economy, this study proposes a research method for multi-park electricity sharing and benefit allocation based on carbon credit trading. Firstly, a framework for multi-park system operation is constructed, and an energy hub model is established for the electrical, cooling, and heating interconnections with various energy conversions. Secondly, a park carbon emission reduction trading model is established based on the carbon credit mechanism, further forming an optimal economic and environmental dispatch strategy for multi-park electricity sharing. Matlab+Gurobi is used for solving. Then, based on asymmetric Nash bargaining, the comprehensive contribution rate of each park is calculated by considering their energy contribution and carbon emission reduction contribution, thereby achieving a fair distribution of cooperation benefits among multiple parks. The results show that the proposed method can effectively reduce the overall operational cost of multiple parks and decrease carbon emissions, and the benefit allocation strategy used is fair and reasonable, effectively motivating the construction of new energy in parks and encouraging active participation in cooperative operations by all parks.

Operation optimization in large-scale heat pump systems: A scheduling framework integrating digital twin modelling, demand forecasting, and MILP

The integration of large-scale heat pumps and thermal energy storage can facilitate sector coupling, potentially lowering heating and cooling costs in industries and buildings. This cost reduction can be extended by optimizing the utilization of the available thermal energy storage capacity in accordance to fluctuating electricity prices. Although the literature offers methods for optimizing the operation of these integrated systems, they often overlook the impact of heat pump performance degradation over time, such as from fouling. This oversight can lead to suboptimal system performance and inaccurate operational cost estimates. The present study addresses this gap by introducing a novel operational scheduling framework that aimed to reduce the operational costs of a commercial large-scale heat pump system. The system comprised an open cooling tower, a thermal storage tank and two heat pumps affected by fouling. The framework incorporated a mixed-integer linear programming (MILP) model, thermal demand forecasting, and heat pump performance maps that account for varying fouling levels. These maps were obtained from online calibrated simulation models used as digital twins of the heat pumps. The results demonstrated that the proposed framework enhanced the thermal energy storage utilization in response to variable electricity prices and adjusted the heat pump operation based on the influence of fouling. This resulted in a reduction of operational costs of up to 5% compared to the conventional operation of the system. These savings were observed to vary depending on the forecasting accuracy and the prevailing fouling levels. Overall, this study demonstrates the potential of using the proposed framework for cost reduction in large-scale heat pump systems.