Sustainable Management Research Articles

The Impact of Artificial Intelligence on Talent Acquisition and Employee Experience in Modern Organizations

ABSTRACT In the digital age, Artificial Intelligence (AI) has emerged as a transformative force in reshaping human resource management, particularly in the domains of talent acquisition and employee experience. This study investigates the impact of AI-powered tools and technologies on recruitment strategies, candidate engagement, and the overall experience of employees in modern organizations. The research aims to assess how AI enhances recruitment efficiency, reduces biases, and improves decision-making processes while also evaluating its influence on employee satisfaction, onboarding, engagement, and workplace support. A quantitative methodology was adopted, using a structured Google Form survey distributed among HR professionals, recruiters, and employees from various sectors. The survey collected insights into the use of AI tools such as applicant tracking systems (ATS), chatbots, automated screening platforms, and sentiment analysis tools in HR operations. The results indicate a growing reliance on AI to streamline hiring, improve job-candidate matching, and personalize employee support systems. However, concerns around ethical implications, data privacy, and the potential depersonalization of human interaction were also highlighted. This research contributes to the academic and practical understanding of AI's dual role in optimizing recruitment workflows and enriching the employee journey. It emphasizes the need for a balanced approach that integrates technological innovation with human- centered HR practices. The findings offer actionable insights for HR professionals, policymakers, and organizational leaders aiming to leverage AI for sustainable talent management and enhanced workplace experiences.

AI‐Enhanced Design of Hexagonal Shell and Finned Tube Latent Heat Storage System Using Nonuniform Longitudinal Fins and Nanomaterials During Melting

ABSTRACTThermal energy storage systems incorporating phase‐change materials (PCMs) have difficulties associated with limited thermal conductivity, resulting in ineffective heat storage and retrieval. This study aims to enhance the efficiency of double‐tube latent heat storage systems by utilizing a hexagonal shell augmented with irregular fins and nanomaterials. This study's innovation is optimizing the fin configuration and integrating nano‐reinforced PCMs to enhance heat transmission during melting and solidification. The study initially examines the system's performance without reinforcement, demonstrating that traditional double‐tube systems have superior storage rates. The impact of incorporating fins with an uneven angular distribution is examined, revealing that the 30°−35°−40°−45° design decreases the discharge time by 7.3% and enhances the energy storage rate by 6.0% relative to the normal 40° fins configuration. The outcomes state that the incorporation of 6% Al₂O₃ nanoparticles drops the charging time by 3.5% and enhances the heat storage rate by 22.5% relative to the 4% scenario. This study is significant as it introduces an innovative hexagonal shell design combined with nonuniform fins and nanomaterials to enhance the thermal performance of latent heat storage systems, addressing the critical challenge of low thermal conductivity in PCMs. The findings provide valuable insights for optimizing energy storage efficiency, which is essential for advancing renewable energy systems and sustainable thermal management solutions.

Microclimate of Pedunculate Oak (Quercus robur L.) Sustainable Managed Forest Stands—A Study of Air and Soil Temperatures in Shelterwood Cutting

Forest management and tree felling in the stand change the structural characteristics, which causes changes in the microclimate conditions. The microclimate is a key in sustainable forest management because soil temperature and moisture regimes regulate nutrient cycling in forest ecosystems. The aim of this research was to determine the changes in air and soil temperatures in pedunculate oak forest stands in different stages of shelterwood that stimulate natural regeneration. The research was conducted in pedunculated oak forests in Spačva area. The microclimatic parameters were measured in a mature old forest stand without shelterwood cutting and in stands with preparatory cut, seed cut, and final cut. The intensity of shelterwood had an impact on the amplitudes and values of air and soil temperatures. The highest average air temperature was in the stand with a preparatory cut. Extreme values of air and soil temperatures were measured in the stands with a final cut. The highest air and soil temperature amplitudes were in the stand with a final cut, with the exception of most of the winter, when the highest soil temperature amplitude was in the stand with a seed cut. The highest number of icy, cold, and hot days was in the stand with a final cut. SARIMA models establish that the difference between microclimatic parameters is not accidental.

Citizen science approach for springshed management: A comprehensive community-driven mapping and dataset of spring sources in Kavre, Nepal.

Citizen science approach for springshed management: A comprehensive community-driven mapping and dataset of spring sources in Kavre, Nepal.

Critical review of methods, mechanisms, and feedstocks in mineral carbonation for enhanced carbon neutrality: From waste to climate solution.

Critical review of methods, mechanisms, and feedstocks in mineral carbonation for enhanced carbon neutrality: From waste to climate solution.

Development of a robust and sustainable regional demography-based demand management technique

This paper presents a robust and sustainable energy management system driven by regional demographic patterns developed using fuzzy logic and mixed integer linear programming (MILP). This method detects and integrates variations in the energy use patterns of urban and rural communities attaining improved efficiency in the management of regional power demand. The detection and integration of the urban and rural energy use patterns were done by combining period partitioning based regional time of use tariff and fuzzy based appliance level renewable resource allocation to develop a function to be optimized using an improved MILP which provides users with the optimum schedule of appliance usage based on their demographic classification. The effectiveness of the proposed method was tested by running MATLAB simulations of different scenarios emulating continuous regional renewable integration planning with urban and rural power consumption profiles generated using LoadProGen. The proposed method’s effectiveness is confirmed by the achievement of a reduction upto 31% in the community energy cost as well as significant reduction in the energy costs of each participant over different scenarios compared to the unoptimized base case. The proposed method can be effectively utilized in energy management applications catering to multiregional and mixed demographic communities.

Effect of formulated mineral mixture on biochemical composition and haematological parameters of common carp

The study aimed to know the effect of formulated mineral mixture on biochemical composition and haematological parameters of common carp (Cyprinuscarpio). The experiment consists of five treatments (T1-T5, in triplicate); the basal diet consisted of rice bran (49-50%), mustard oil (48.5-49%), mineral mixture (0-2%) and salt (0.5%); the positive control with commercially available mineral mixture (T1) and the negative control without any mineral mixture (T2) and three (T3-T5) treatments supplemented with formulated mineral mixture (as per ICAR, 2013 recommendations) at three inclusion levels of 1%, 1.5% and 2%, respectively. Every water quality metric was within permissible bounds. When compared to the non-supplemented group (T2), the growth performance of C. carpio fingerlings, including final weight, weight gain, and specific growth rate, has been significantly (P<0.05) improved by the developed mineral supplementation. Additionally, the T4 group's feed conversion ratio and protein efficiency ratio were shown to be much improved (P<0.05). Moreover, the total protein and fat content of the flesh were significantly (P<0.05) boosted by the mineral mixture. Haemoglobin, haematocrit, total erythrocyte count, total leucocyte count, mean corpuscular volume, mean corpuscular haemoglobin, and mean cell haemoglobin concentration were among the haematological parameters that were also significantly (P<0.05) improved and were best recorded at 1.5% (T4) mineral mixture compared to the non-supplemented group. The information gathered for this study will help a number of stakeholders, including fish farmers, entrepreneurs, and the feed sector, increase fish production and productivity in a sustainable manner.. KEYWORDS :Mineral Mixture, Cyprinuscarpio, Growth, Health, Proximate Composition

Data ethics and digital sustainability: Bridging legal data protection compliance and ESG for a responsible data-driven future

Data ethics and digital sustainability: Bridging legal data protection compliance and ESG for a responsible data-driven future

Mitigating contaminated mine drainage through mine waste rock decontamination: A strategy for promoting cleaner and sustainable management

Mitigating contaminated mine drainage through mine waste rock decontamination: A strategy for promoting cleaner and sustainable management

Quantifying the fate of biogenic elements in mangrove aquifers: Insights from reactive transport modeling under saltwater-freshwater mixing.

Quantifying the fate of biogenic elements in mangrove aquifers: Insights from reactive transport modeling under saltwater-freshwater mixing.

Activity-based mathematical modeling of household water consumption across regions: proposing efficient fixtures for sustainable water management in Saudi Arabia

Abstract This study presents an activity-based mathematical model to assess daily per capita and regional water consumption in Saudi Arabian households (8.17 million, as per the Saudi Census Statistics, 2022). The model compares two scenarios: (a) the current scenario with standard fixtures and (b) the proposed scenario with efficient fixtures. Water consumption is analyzed based on daily activities and house zones. Under the current scenario, showering is the highest water-consuming activity, using 209-551 liters (23–29%), while the bathroom is the highest water-consuming house zone, using 436-1151 liters (48–60%) with current scenario. Regional water consumption is assessed based on average household size, with Riyadh, Makkah, and the Eastern Province exhibiting the highest daily per capita water consumption of 328-330 liters. These three regions contribute a cumulative daily water demand of 6.763 million $${m}^{3}$$ m 3 , more than double the water demand of the remaining ten regions, which totals 3.171 million $${m}^{3}$$ m 3 . This variation highlights the limitations of nationwide assessments and emphasizes region-specific water management strategies to address water security challenges in Saudi Arabia. The study further analyzes water savings under the proposed efficient fixtures scenario, achieving a reduction of 83-93 liters per capita, resulting in a nationwide daily water saving of 2.806 million $${m}^{3}$$ m 3 . The mathematical model developed is flexible, enabling forecasts of water consumption based on hybrid scenarios combining standard and efficient fixtures. The findings have significant implications for the sustainable management of water resources, contributing directly to Clean Water and Sanitation (Sustainable Development Goal 6) by informing strategies for efficient water use and conservation in Saudi Arabia.

Life cycle optimization for sustainable product footprint management: A comprehensive approach to coupling economic, environmental, and energy factors on a large scale

Life cycle optimization for sustainable product footprint management: A comprehensive approach to coupling economic, environmental, and energy factors on a large scale

POLA SISTEM PANGAN MASYARAKAT ADAT KAMPUNG NAGA KABUPATEN TASIKMALAYA

Food is a basic need whose fulfillment is mandatory and urgent and its sustainability needs to be ensured. The recent approach to food provision has highlighted the food system implemented by indigenous peoples in various regions which is still carried out traditionally and pays great attention to the balance of nature, including the indigenous people of Kampung Naga. This study aims to describe and construct the pattern of the food system that has been implemented by the indigenous people of Kampung Naga. This study was designed qualitatively using a systems thinking approach. which is depicted in a causal loop diagram (CLD) located in Kampung Naga, Neglasari Village, Salawu District, Tasikmalaya Regency. The data used in this study are primary data obtained through in-depth interviews and Focus Group Discussions (FGD) with several informants involved, while secondary data were obtained from various related literature. The results of the study indicate that the food system of the indigenous people of Kampung Naga includes various components that are interrelated with each other, such as social systems and ecological systems that intersect with production, management and processing systems, local mitigation systems and the food consumption system of the indigenous people of Kampung Naga which is still carried out traditionally and considers aspects of sustainability. The results of this study are expected to provide an overview in formulating the concept of sustainable food system management.

Unpacking the critical elements for solving the complex issue of sustainable lake management: Case studies from Japan

Unpacking the critical elements for solving the complex issue of sustainable lake management: Case studies from Japan

An integrated framework of life-cycle environmental, human health, and economic impact assessment for urban water systems.

An integrated framework of life-cycle environmental, human health, and economic impact assessment for urban water systems.

Optimizing the load curve through V2G technology for sustainable energy management

Optimizing the load curve through V2G technology for sustainable energy management

Challenges and opportunities for the sustainable nitrogen management in a páramo agroecosystem: insights from local soil knowledge and farming practices

ABSTRACT Páramos are vital high-mountain ecosystems in Central and South America, yet nitrogen (N) losses from agricultural activities threatens their integrity. By examining current farming practices and local soil knowledge, this study identified key aspects to transition to sustainable N management in a Colombian páramo. We identified opportunities such as farmers’ interest in alternative practices and agroecological strategies, alongside challenges such as overapplication of fresh chicken manure, inefficient irrigation, agrochemical misuse, insufficient institutional support, among others. These findings provide valuable insights for promoting resilient agricultural systems that align with transformative environmental policies and foster socio-ecological synergies in sensitive ecosystems.

Optimizing bio-hydrogen production from agri-waste: A digital twin approach for sustainable supply chain management and carbon neutrality

Optimizing bio-hydrogen production from agri-waste: A digital twin approach for sustainable supply chain management and carbon neutrality

Biometric analysis applied to three age classes of roe deer (Capreolus capreolus) in a population of central Italy.

Biometric analysis applied to three age classes of roe deer (Capreolus capreolus) in a population of central Italy.

Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia.

Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia.