Decision-making Process Research Articles

Human-like intelligent automatic treatment planning of head and neck cancer radiation therapy.

Automatic treatment planning of radiation therapy (RT) is desired to ensure plan quality, improve planning efficiency, and reduce human errors. We have proposed an Intelligent Automatic Treatment Planning framework with a virtual treatment planner (VTP), an artificial intelligence robot built using deep reinforcement learning (DRL), autonomously operating a treatment planning system (TPS). This study extends our previous successes in relatively simple prostate cancer RT planning to head-and-neck (H&N) cancer, a more challenging context even for human planners due to multiple prescription levels, proximity of targets to critical organs, and tight dosimetric constraints.

We integrated VTP with a real clinical TPS to establish a fully automated planning workflow guided by VTP. This integration allowed direct model training and evaluation using the clinical TPS. We designed the VTP network structure to approach the decision-making process in RT planning in a hierarchical manner that mirrors human planners. The VTP network was trained via the Q-learning framework. To assess the effectiveness of VTP, we conducted a prospective evaluation in the 2023 Planning Challenge organized by the American Association of Medical Dosimetrists (AAMD). We extended our evaluation to include 20 clinical H&N cancer patients, comparing the plans generated by VTP against their clinical plans.

In the prospective evaluation for the AAMD Planning Challenge, VTP achieved a plan score of 139.08 in the initial phase evaluating plan quality, and 15 min of planning time with the first place ranking in the adaptive phase competing for planning efficiency while meeting all plan quality requirements. For clinical cases, VTP-generated plans achieved an average VTP score of 125.33±11.12, which outperformed the corresponding clinical plans with an average score of117.76±13.56.

We successfully integrated VTP with the clinical TPS to achieve a fully automated treatment planning workflow. The compelling performance of VTP demonstrated its potential in automating H&N RT planning.

A GIS-based catastrophe approach for optimal site selection for installation of solar power plants, East Azerbaijan province case study, Iran.

Due to depletion of fossil fuels and environmental issues, renewable energy consumption is increasingly growing. Solar energy as the most abundant renewable energy source available is becoming more popular around the world. In the current study, the optimal sites for solar photovoltaic power plants in East Azerbaijan province, Northwest Iran, were investigated. A total of 17 variables were categorized into four groups: climatic, geomorphological, environmental, and access-economic. In order to integrate the variables, a model based on catastrophe theory in the context of GIS was applied. The relative importance and weight of the criteria are computed based on the internal mechanism of the catastrophic system, thus greatly reducing subjectivism and uncertainties of the decision-making process. Five optimal sites located in the western part of the province within the counties of Malekan, Bonab, Ajabshir, Shabestar, and Tabriz were identified as suitable sites for the construction of solar photovoltaic power plants, where there are ideal conditions in terms of many environmental-human variables such as high potential of solar energy, high sunshine hours, low relative humidity, suitable slope, poor vegetation, distance to protected areas, proximity to the population centers, excellent access to the roads and to the main power lines.

The emergence of externally active representative bureaucracy, a narrative review

This article analyzes the evolution of governance models within public administrations as they respond to complex socio-political challenges. It emphasizes the need to enhance the legitimacy and representativeness of decision-making processes in the face of persistent issues, social fragmentation, increasing inequalities, and political polarization. The study discusses two primary models: citizen participation, which promotes a more engaged form of democracy, and representative bureaucracy, which seeks to ensure that public administration reflects socio-demographic diversity. However, these frameworks have flaws, particularly in achieving representativeness and maintaining administrative efficiency. To address these issues, the concept of “Externally Active Representative Bureaucracy” (EARB) is proposed, which involves incorporating citizens directly into administrative structures to address specific challenges while improving the legitimacy and representativeness of decisions. The article reviews 155 academic articles to explore the various dimensions and effects of representative bureaucracy and citizen participation. The objective is to illustrate that EARB provides an innovative approach to public administration that bridges bureaucratic efficiency with citizen inclusion, inviting further research into this hybrid model to enhance our understanding of the operation of modern public administrations.

AI ENABLED WATER CONSERVATION FOR IRRIGATION USING IOT

This project introduces a smart irrigation system that utilizes Internet of Things (IoT) technology and machine learning algorithms to enhance water management in agriculture. The system employs a series of IoT sensors distributed across the field to consistently monitor key environmental factors such as soil moisture levels, temperature, humidity, and others. The collected data is analysed using machine learning Cat Boosting algorithm. This algorithm analyze the data to determine the optimal irrigation schedule based on crop water requirements, soil conditions, weather forecasts, and historical data. The system controls irrigation equipment such as pumps, valves, and sprinklers to deliver precise amounts of water to crops at the right time. Continuous feedback from the system allows for refinement of irrigation schedules, leading to improved water conservation, increased crop yield, and cost savings for farmers. This project discusses the benefits of such a system, including water conservation, increased crop yield, cost savings, environmental sustainability, and remote monitoring and control capabilities. Overall, the integration of IoT and machine learning technologies offers a powerful solution for sustainable agriculture, enabling data-driven decision-making processes to optimize water usage and maximize crop productivity. Keywords— Smart irrigation system, Internet of Things(IOT)technology, Water conservation, Environmental parameters, Soil moisture monitoring, Increased crop yield, Machine learning algorithms

Modelling the Performance Consequences of Coopetition in Business Relationships – a Quantitative Approach

Modelling the Performance Consequences of Coopetition in Business Relationships – a Quantitative Approach

Interpretable machine learning framework to predict gout associated with dietary fiber and triglyceride-glucose index

BackgroundGout prediction is essential for the development of individualized prevention and treatment plans. Our objective was to develop an efficient and interpretable machine learning (ML) model using the SHapley Additive exPlanation (SHAP) to link dietary fiber and triglyceride-glucose (TyG) index to predict gout.MethodsUsing datasets from the National Health and Nutrition Examination Survey (NHANES) (2005–2018) population to study dietary fiber, the TyG index was used to predict gout. After evaluating the performance of six ML models and selecting the Light Gradient Boosting Machine (LGBM) as the optimal algorithm, we interpret the LGBM model for predicting gout using SHAP and reveal the decision-making process of the model.ResultsAn initial survey of 70,190 participants was conducted, and after a gradual exclusion process, 12,645 cases were finally included in the study. Selection of the best performing LGBM model for prediction of gout associated with dietary fiber and TyG index (Area under the ROC curve (AUC): 0.823, 95% confidence interval (CI): 0.798–0.848, Accuracy: 95.3%, Brier score: 0.077). The feature importance of SHAP values indicated that age was the most important feature affecting the model output, followed by uric acid (UA). The SHAP values showed that lower dietary fiber values had a more pronounced effect on the positive prediction of the model, while higher values of the TyG index had a more pronounced effect on the positive prediction of the model.ConclusionThe interpretable LGBM model associated with dietary fiber and TyG index showed high accuracy, efficiency, and robustness in predicting gout. Increasing dietary fiber intake and lowering the TyG index are beneficial in reducing the potential risk of gout.

Human dignity and autonomy in medicoethical decisions at the end of life

Respect of human dignity is an unquestionable part of daily clinical routine as well as of evaluations in medical ethics. Some aspects of human dignity are asubject of transformation in the course of alifetime. If the ability to form a will is reduced, it might be difficult to satisfy the individual perception of adignified treatment, which is of particular interest in terminal care. As illustrated by the presented case report, moral problems can arise when the patient's present verbal or non-verbal expressions are opposed to what is documented or what is estimated by dependants to be the individual's will. In clinical decision-making processes, the determination of the will via an advance directive can be overstated, which can go so far that human dignity is reduced to autonomy. Aconcept of dignity reduced to autonomy misses the point not only of adignity-centered medical care but also of shared decision-making. In situations at the end of life other aspects, such as authenticity or self-actualization should be considered when respecting the individual's dignity. Medicine should as such not marginalize death but provide acare based on principles that focus on human interaction and respect for acomprehensive concept of dignity.

Development of a clinical pathway for bariatric surgery as an integral part of a comprehensive treatment for adolescents with severe obesity in the Netherlands.

Introduction In the Netherlands, bariatric surgery in adolescents is currently only allowed in the context of scientific research. Besides this, there was no clinical pathway for bariatric surgery in adolescents. In this paper, the development of a comprehensive clinical pathway for bariatric surgery in adolescents with severe obesity in the is described. Methods The clinical pathway for bariatric surgery in adolescents consists of an eligibility assessment as well as comprehensive peri- and postoperative care. Regarding the eligibility assessment, the adolescents need to be identified by their attending pediatricians and afterwards be evaluated by specialized pediatric obesity units. If the provided treatment is considered to be insufficiently effective, the adolescent will anonymously be evaluated by a national board. This is an additional diligence procedure specifically established for bariatric surgery in adolescents. The national board consists of independent experts regarding adolescent bariatric surgery, and evaluates whether the adolescents meet the criteria defined by the national professional associations. The final step is an assessment by a multidisciplinary team for adolescent bariatric surgery. The various disciplines (pediatrician, bariatric surgeon, psychologist, dietician) evaluate whether an adolescent is eligible for bariatric surgery. In this decision-making process, it is crucial to assess whether the adolescent is expected to adhere to postoperative behavioral changes and follow-up. When an adolescent is deemed eligible for bariatric surgery, he or she will receive preoperative counselling by a bariatric surgeon to decide on the type of bariatric procedure (Roux-en-Y gastric bypass or sleeve gastrectomy). Postoperative care consists of intensive guidance by the multidisciplinary team for adolescent bariatric surgery. In this guidance, several regular appointments are included and additional care will be provided based on the needs of the adolescent and his or her family. Furthermore, the multidisciplinary lifestyle intervention, in which the adolescents participated before bariatric surgery, continues in coordination with the multidisciplinary team for adolescent bariatric surgery, and this ensures long-term counselling and follow-up. Conclusion The implementation of bariatric surgery as an integral part of a comprehensive treatment for adolescents with severe obesity requires the development of a clinical pathway with a variety of disciplines.

Survey of screw-retained versus cement-retained implant restorations used in both education and private dental practices.

In the literature, it is still unclear if the decisions for selecting the type of implant crown-retaining system are based on scientific-based research or if the Universities' choices, Implant marketing trends, or finances could have a major influence on the private dentists' decisions. Therefore, this study aimed to evaluate the crown-retaining system (cement- or screw-retained) used in dental schools and private dental practices. A 13-item questionnaire was sent to Canadian dental schools (n=10) and dental offices in London (n=298), Canada. The questionnaire included demographic questions and questions to reveal the dentists' perspectives on prosthetic implant treatment between the two-retaining systems. Results were analyzed using descriptive statistics and multinomial logistic regression (p=0.05). Twenty-four private dentists and five dental schools responded to the survey - 62.5% of private practitioners and 60% of universities reported using both systems. A trend was observed in using screw-retained systems by dentists who graduated 5-10 years ago. Straumann, Astra, and Nobel Biocare were the private practices and dental schools' preferred implant systems. The use of platform switching for all cases was selected by 54.2% of the private practitioners and 40% of the dental schools. Resin cement was the private practice's preferred cementation method; the dental schools used glass ionomer and zinc phosphate cement. The multinomial logistic regressions showed no statistical difference between the crown-retaining system chosen and the decision factors. The laboratory technician's recommendations and cost influenced the decision-making process for private dentists. For the universities, perio-restorative outcome, implant position, survival rates, institute preferences, and evidence-based research influenced the crown-retaining system's decision-making process. CONCLUSION: The Canadian dental schools and private practice reported using both screw- and cement-retaining systems. However, there was a difference in the selection criteria as the universities showed a tendency towards a more research-based approach in their decision, while for the private practices, the technicians' recommendations and cost played a major role in the decision process. It was noted that the implant systems preconized by the Universities were observed to be used in private practices.

MANGLEE: A Tool for Mapping and Monitoring MANgrove Ecosystem on Google Earth Engine—A Case Study in Ecuador

Mangroves, integral to ecological balance and socioeconomic well-being, are facing a concerning decline worldwide. Remote sensing is essential for monitoring their evolution, yet its effectiveness is hindered in developing countries by economic and technical constraints. In addressing this issue, this paper introduces MANGLEE (Mangrove Mapping and Monitoring Tool in Google Earth Engine), an accessible, adaptable, and multipurpose tool designed to address the challenges associated with sustainable mangrove management. Leveraging remote sensing data, machine learning techniques (Random Forest), and change detection methods, MANGLEE consists of three independent modules. The first module acquires, processes, and calculates indices of optical and Synthetic Aperture Radar (SAR) data, enhancing tracking capabilities in the presence of atmospheric interferences. The second module employs Random Forest to classify mangrove and non-mangrove areas, providing accurate binary maps. The third module identifies changes between two-time mangrove maps, categorizing alterations as losses or gains. To validate MANGLEE’s effectiveness, we conducted a case study in the mangroves of Guayas, Ecuador, a region historically threatened by shrimp farming. Utilizing data from 2018 to 2022, our findings reveal a significant loss of over 2900 hectares, with 46% occurring in legally protected areas. This loss corresponds to the rapid expansion of Ecuador’s shrimp industry, confirming the tool’s efficacy in monitoring mangroves despite cloud cover challenges. MANGLEE demonstrates its potential as a valuable tool for mangrove monitoring, offering insights essential for conservation, management plans, and decision-making processes. Remarkably, it facilitates equal access and the optimal utilization of resources, contributing significantly to the preservation of coastal ecosystems.

The collaborative project "Personalized medicine for oncology" (PM4Onco) as part of the Medical Informatics Initiative (MII)

The collaborative project Personalized Medicine for Oncology (PM4Onco) was launched in 2023 as part of the National Decade against Cancer (NKD) and is executed within the Medical Informatics Initiative (MII). Its aim is to establish asustainable infrastructure for the integration and use of data from clinical and biomedical research and therefore combines the experience and preliminary work of all four consortia of the MII and the leading oncology centers in Germany. The data provided by PM4Onco will be prepared in asuitable form to support decision making in molecular tumor boards. This concept and infrastructure will be extended to 23 participating partner sites and thus improve access to targeted therapies based on clinical information and analysis of molecular genetic alterations in tumors at different stages of the disease. This will help to improve the treatment and prognosis of tumor diseases.Clinical cancer registries are involved in the project to improve data quality through standardized documentation routines. Clinical experts advise on the expansion of the core datasets for personalized medicine (PM). Information on quality of life and treatment outcomes reported by patients in questionnaires, which is rarely collected outside of clinical trials, will make asignificant contribution. Patient representatives are involved from the onset to ensure that the important perspective of patients is taken into account in the decision-making process. PM4Onco thus creates an alliance between the MII, oncological centers of excellence, clinical cancer registries, young scientists, patients, and citizens to strengthen and advance PM in cancer therapy.

EXTRACTING AND PRIORITIZING THE ATTRACTIVENESS PARAMETERS OF SHOPPING CENTERS UNDER INTUITIONISTIC FUZZY NUMBERS

Shopping center plays an important role in distribution system and marketing. These canters provide an appropriate atmosphere for customers; so that, the customers achieve the best service within a short time. However, there is an intense competition among shopping centers to attract more customers for increasing the profit. Therefore, a powerful model assists authorities in identifying the critical competitive aspects and directing their efforts toward performance improvement. However, a number of strategies have been developed to identify the most relevant components. The Delphi technique under intuitionistic fuzzy environment, called intuitionistic fuzzy Delphi method (IFDM) study, is a group-based technique that can simply formulate the uncertainty imposed by decision making circle. On the other hand, multi criteria decision making (MCDM) method such as analytical network process (ANP) is a mathematical tool for taking into account mutual relationships in order to rank a number of criteria. Nonetheless, the ANP is unable to account for the uncertainty involved in the decision-making process. Similarly, the intuitionistic fuzzy set (IFS) can express ambiguity and vagueness by utilizing the given scale. Because the IFS is robust in dealing with complexity and ambiguity, the IFS-GANP (an integrated model of the IFS and ANP methods under group decision) can result in a more specific description of the situation. As a result, the IFS-GANP approach outperforms both conventional ANP and fuzzy ANP. To demonstrate the model’s feasibility, a case study rating the essential aspects impacting the attractiveness of retail centers is shown. The result demonstrates factor C31 (Location) with value of 0.202 plays the greatest role in attracting customers.

A fluctuating intensity of care: A qualitative study on the experiences of informal caregivers of patients with critical limb-threateningischemia.

Informal caregivers play a significant role in providing care for older, often vulnerable, patients, and supporting them as they live with chronic diseases. Due to the rising prevalence of older vascular patients and their use of healthcare, the role of their informal caregivers will become more important. However, little is known about the experiences of informal caregivers of patients with critical limb-threatening ischemia and the impact of informal care on different aspects of these caregivers' lives. In addition, literature does not describe the burden this role brings with it, or lack thereof. Therefore a qualitative study using a phenomenological approach, specifically interpretive phenomenological analysis, was used to gain insight into the experiences of the primary informal caregivers of patients with chronic limb-threatening ischemia. Data were collected via semi-structured interviews and focus groups discussions. Fifteen primary informal caregivers of patients with critical limb-threatening ischemia under the care of the vascular surgeon at a tertiary teaching hospital in the Netherlands were included. Data analysis yielded three themes: the perceived identity of this group of caregivers; the varying intensity of informal care; and the collaboration between informal carers, their care recipients and the professional care provider within the vascular surgery department. In contrast to carers of other chronic diseases, the shifting intensity of care that informal caregivers of critical limb-threatening ischemia patients experience seems to prevent long-term overload. Adapting to that fluctuating situation requires flexibility from healthcare providers within the vascular surgery department. In addition, professionals need to involve informal caregivers in the patient's decision-making process and recognize their role in that process.

Understanding Urban Women's Interaction with Domestic Technologies in Malawi: Advancing Feminist Theories in HCI

In sub-Saharan Africa, women are caretakers of their homes. Despite the gendered nature of technology use, human-computer interaction research has rarely focused on women's interaction with domestic technologies in this context. We explore how urban women in Malawi use domestic technologies to support activities in their homes. We conducted semi-structured interviews, observations, and focus group discussions with 33 married women living with their husbands and other family members. Our findings suggest that women are the primary users of utilitarian domestic technologies; however, their spouses have control over how they use these technologies. Further, we found that purpose and time influence women's decision-making process for selecting domestic technologies to use, especially cooking appliances. The structure of some Malawian homes—which consist of a combination of modern and traditional structures—also influences women's decision-making process. Our findings contribute to feminist theories in human-computer interaction through the application of ecology, pluralism, and self-disclosure aspects.

Delivering the diagnosis of multiple system atrophy: a multicenter survey on Japanese neurologists’ perspectives

BackgroundMultiple system atrophy (MSA) is a progressive, incurable, life-threatening neurodegenerative disease uniquely characterized by the risk of sudden death, which makes diagnosis delivery challenging for neurologists. Empirical studies on breaking a diagnosis of MSA are scarce, with no guidelines currently established. This study aimed to investigate neurologists’ current practices and experiences in delivering the diagnosis of MSA.MethodsWe conducted a multicenter online survey and employed a mixed-methods (quantitative and qualitative) study design in which responses to open-ended questions were analyzed qualitatively using critical incident technique.ResultsAmong the 194 neurologists surveyed, 166 opened the survey (response rate = 85.6%), of whom 144 respondents across various Japanese regions completed the survey. Accordingly, 92.3% and 82.8% of the participating neurologists perceived delivering the diagnosis of MSA and explaining the risk of sudden death as difficult, respectively. Factors independently associated with difficulties in diagnosis delivery included explaining the importance of the family decision making process in life-prolonging treatment, perceived difficulties in delivering information regarding the risk of sudden death, and perceived difficulties in differential diagnosis of MSA.ConclusionsOur findings showed that the majority of neurologists perceived delivering the diagnosis of MSA and explaining the risk of sudden death as difficult, which could have been associated with the difficulty of breaking the diagnosis of MSA. Difficulty in conveying bad news in MSA are caused by various factors, such as empathic burden on neurologists caused by the progressive and incurable nature of MSA, the need to explain complex and important details, including the importance of the family decision-making process in life-prolonging treatment, difficulty of MSA diagnosis, and communication barriers posed by mental status and cognitive impairment in patients or their family members. Neurologists consider various factors in explaining the risk of sudden death (e.g., patient’s personality, mental state, and degree of acceptance and understanding) and adjust their manner of communication, such as limiting their communication on such matters or avoiding the use of the term “sudden death” in the early stages of the disease. Although neurologists endeavor to meet the basic standards of good practice, there is room for the multiple aspects for improvement.

Design and Development of Middle-Aged and Elderly Tourism Products Based on Fuzzy Decision Support System

Tourism product design and development is anxious with intricate decision-making processes that need to strike a balance between many criteria, goals, and limitations. In today's diversified and ever-changing tourist business, there are substantial sprints in developing and implementing products that appeal to middle-aged and older travellers. In this research, the utilization of fuzzy decision support system (FDSS) is investigated to personalize travel experiences for the elderly based on their unique interests and requirements. The main objective of this study is to reduce the complex tourism business patterns. This study presents a systematic framework for middle-aged and senior tourism products based on the literature on tourism trends, FDSS, and product creation in the tourism industry. This study proposes a middle-aged and elderly tourism product based on fuzzy decision support system (METP–FDSS) that employs fuzzy logic. This approach takes into account cultural sensitivities, accessibility concerns, travel preferences, and demographic data to create tourism experiences that are welcoming and immersive for older tourists. Through the application of fuzzy logic concepts, FDSS provides a flexible and robust decision-making platform that can aid in the development of personalized, inclusive, and immersive tourist experiences for the elderly. Customer happiness, accessibility, and the decision support system's ability to steer product development are all highlighted in the proposed METP–FDSS framework. Research on tourism among the middle-aged and the elderly also benefits from understanding user experience, cost effectiveness, competitive advantage, and social and environmental impact. While navigating the complexity of today's tourism sector, this study recommends using fuzzy logic as a decision support system to provide one-of-a-kind experiences for older and middle-aged tourists.

Boardroom blind spots: why HR exclusion puts corporate reputations at risk

Purpose This study aims to explore the ramifications of a lack of human resources (HR) representation in corporate boardrooms. Design/methodology/approach The author draws upon her personal and professional experience as a director of human resources and as a board member for a corporation. Findings There is a fundamental misunderstanding of the strategic value that HR brings to the table. To thrive in the modern business environment, organisations must acknowledge this strategic value and actively involve HR professionals in high-level decision-making processes. Originality/value This study makes a strong and compelling case for HR’s involvement in high-level decision-making in the boardroom.

Does Fertility Culture Matter in Reproductive Decision Making? A Case Study of a Chinese Multi-child Family

This study delves into individual cases within multi-child families, building upon a literature review of sociocultural factors influencing reproductive decision-making. Although previous research has highlighted the significant influence of societal factors on reproductive choices, there is a knowledge gap regarding specific cases within multi-child families, necessitating a more in-depth investigation. The research question is framed as follows: "How do sociocultural factors interact in the reproductive decision-making of multi-child families, influencing family interactions and dynamics?" Using a case study approach, this paper employs a qualitative methodology by conducting semi-structured interviews to gather data. Grounded theory is applied for in-depth qualitative analysis. Findings reveal the pivotal role of sociocultural factors in internal family dynamics, supporting and extending previous research. Theoretical implications highlight a nuanced understanding of multi-child family dynamics, while practical implications underscore the need for tailored family support programs. This research contributes theoretical insights and practical guidance for addressing the unique needs of multi-child families in reproductive decision-making processes.

Approaches to improving valuation decision-making: a review of the literature

PurposeThe complexity of property valuation, coupled with valuers’ cognitive limitations, makes some degree of error inevitable in valuations. However, given the crucial role that valuations play in the efficient functioning of the economy, there is a need for continuous improvement in the reliability of reported values by enhancing the quality of the decision-making process. The purpose of this paper is to review previous research on valuation decision-making, with particular interest in examining the approaches to improving the quality of valuation decisions and identifying potential areas for further research.Design/methodology/approachThe paper adopts a narrative approach to review 42 research articles that were obtained from Scopus and Web of Science databases and through author citation searches.FindingsOur findings show that existing literature is skewed towards examining the use of technology in the form of decision support systems (DSS), with limited research attention on non-technological (i.e. behavioural) approaches to improving the quality of valuation decisions. We summarise the non-technological approaches and note that much of the discussions on these approaches often appear as recommendations arising from other studies rather than original investigations in their own rights.Practical implicationsWe conclude that studies investigating the effectiveness of the non-technological approaches to improving valuation decision-making are lacking, providing various avenues for further research.Originality/valueThis paper presents the first attempt to provide a comprehensive overview of non-technological approaches to improving the quality of valuation decisions.

Enhancing integrated resource management through remote sensing and GIS

Integrated Resource Management plays a crucial role in sustainable development by ensuring efficient allocation and utilization of natural resources. Remote Sensing (RS) and Geographic Information System (GIS) have emerged as powerful tools for collecting, analyzing, and managing spatial data, enabling comprehensive and integrated decision-making processes. This review article uniquely focuses on Integrated Resource Management (IRM) and its role in sustainable development. It specifically examines the application of RS and GIS in IRM across various resource management domains. The article stands out for its comprehensive coverage of the benefits, challenges, and future directions of this integrated approach.