Results Of Analytic Hierarchy Process Research Articles

What is the best set of indices/indicators for evaluating “health promotion governance” in health systems? A proposed methodology for health promotion decision-making

ABSTRACT We aimed to identify the indices/indicators needed for assessing health promotion governance in health systems. Data were obtained from a literature review, a modified Delphi process, and an Analytic Hierarchy Process (AHP). The study was conducted from May 2021 to January 2022 using a multi-method design comprised of four sequential stages: (1) a comprehensive literature review for identifying the health promotion indices/indicators originating from the Ottawa Charter’s action areas; (2) a 3-round Delphi survey to identify, by consensus, which of those indices/indicators would be relevant to the health promotion governance in the health system;(3) Analytic Hierarchy Process technique (AHP) to prioritize the selected indices/indicators; (4) presenting the results of AHP to a group of the health promotion specialists of the selected experts to selecting other indices/indicators if necessary. Health literacy was considered the most important index to assess health promotion governance from experts’ perspectives. The per capita public health expenditure was supposed to be the second most important indicator. The indices ranked third and fourth in priority were the health equality and urban health indexes, respectively. The health promotion specialists selected three other indices: the number of policies changed due to advocacy, social capital, and positive health. Based on the results, a series of essential indices/indicators have been proposed depending on the study’s purpose, which can help health system policymakers and managers to assess the health promotion governance in the health system.

Microplastics in Chinese coastal waters: A mini-review of occurrence characteristics, sources and driving mechanisms.

The oceans are facing global and irreversible pollution from microplastics, and China is not immune. In this mini-review, information on microplastics in four coastal waters of China and the natural and social environment of key basins were compiled. The results showed that microplastics were ubiquitous in the coastal waters, and the abundance and spatial distribution of microplastics varied significantly under different sampling methods. For trawl samples, microplastic abundance ranged from 0.045 to 1170.8 items m-3, among which the coastal waters of the East China Sea were the most polluted. For filtered samples, microplastic abundance ranged from 46 to 63,600 items m-3, and the coastal waters of the Yellow Sea were the most polluted. Meanwhile, human activities in basin were the key factors affecting microplastic pollution in coastal waters. The main terrestrial source in the coastal waters of the South China Sea was express packaging loss, whereas the main source in the other coastal waters was tyres and road markings wear from vehicle trip. The decoupling results of analytic hierarchy process showed that there was spatial heterogeneity in the impact of socio-economic and natural environmental factors in the basin on the distribution of microplastics in coastal waters. Among the five major basins, the impact weights of the latter were 20.00%, 83.34%, 66.66%, 50.00% and 25.00%, respectively. This study provides the first perspective of land-sea linkage to summarize the characteristics, sources and influencing factors of microplastics in Chinese coastal waters, providing ideas for reducing marine microplastic pollution from the source.

Examining the role of digitalization and technological innovation in promoting sustainable natural resource exploitation

In the era of technological advancement, the potential of digitalization and technical innovation to revolutionize sustainable resource exploitation has become a focal point. The promises of reduced environmental impact, heightened efficiency, and improved socio-economic outcomes underscore the transformative power that digitalization holds for resource management. To this extent, the fuzzy Analytical Hierarchy Process (AHP) and fuzzy VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods are used to examine challenges and come up with possible solutions for the mining sector in Pakistan to adopt digital transformation. The study identifies several key challenges, sub-challenges, and strategies, giving readers a thorough grasp of digital transformation. These challenges and sub-challenges are evaluated and ranked according to their relative weights using the fuzzy AHP approach. The fuzzy VIKOR method is applied to determine strategies that can help overcome these challenges and promote digitalization and technological innovation in the sustainable exploitation of natural resources. The results of fuzzy AHP show that policy and regulation, infrastructure, and human capital are key challenges. The findings of fuzzy VIKOR indicate that robust policy development, investment in Research and Development (R&D), and leveraging global trends and partnerships are key strategies to overcome the challenges. These findings provide valuable insights for policymakers, researchers, and practitioners, offering new perspectives on integrating digital technology into the natural resource sector to foster sustainable development.

Concept of Social Entrepreneurship in the Development of Creative Economy Tourism in Indonesia (Case Study: Cirendeu Village)

Social entrepreneurship is currently viewed as a solution to address various social issues, including welfare, healthcare, education, poverty alleviation, and community empowerment, among others. This research aims to develop a social entrepreneurship concept suitable for Cirendeu Village. The concept of social entrepreneurship is closely related to the 8th Sustainable Development Goal (SDG), which emphasizes “Decent Work and Economic Growth.” Social entrepreneurship represents a form of business that not only seeks financial profit but also has robust social or environmental objectives. The methods employed in this research include the Analytic Hierarchy Process (AHP) and the Business Model Canvas. Research data were collected from 19 respondents through demographic statements and the distribution of AHP questionnaire matrices. The AHP method serves as a strategy weighting approach and assists in formulating priority strategies for the company. Furthermore, the Business Model Canvas method aims to describe the appropriate business model for the company based on the AHP analysis. The establishment of criteria is a crucial step in the decision-making process. Combining the Process Hierarchy Analysis Method (AHP) with the Business Model Canvas (BMC) can enhance effectiveness, ensuring that AHP criteria align with Business Model Canvas (BMC) elements. The AHP results indicate that the distribution channel is the top priority criterion, with a weight of 0.193. These priority results are then incorporated into the BMC strategy elements, combining both existing and new elements.

랜덤박스 캐릭터 디자인에서 감성적 디자인 평가요소 분석

Recently, there has been an expansion in the development of new products based on consumer data, highlighting the growing importance of emotional design elements. Companies are exploring new evaluation methods for innovative character designs. This study proposes a model to assess and improve the emotional aspects of random box character designs. The methodology involved identifying emotional design elements and analyzing their importance through expert surveys using the AHP (Analytic Hierarchy Process) technique. The key elements identified were emotional empathy, creativity, sustainable value, and stability, each showing varying levels of importance. User satisfaction was measured using the IPA (Importance-Performance Analysis) technique and compared with AHP results, revealing that the 'HIRONO character' had higher satisfaction levels than the 'SOSKID character'. This research presents a systematic evaluation method for emotional design elements, expected to provide important guidelines for the development of innovative character designs and contribute to continuous design improvement.

Evaluating the efficiency of green innovation and marketing strategies for long-term sustainability in the context of Environmental labeling

In the contemporary landscape, as environmental concerns take center stage, consumers are increasingly urged to make ecologically friendly choices, facilitated by the prevalence of environmental labeling. This study undertakes a comprehensive investigation into the influence of environmental labeling on customer purchasing behavior, with a specific emphasis on evaluating the effectiveness of green marketing and innovation initiatives. Using the Fuzzy Analytical Hierarchy Process (AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS) methodologies, the research pinpoints the elements and tactics able to influence consumer behavior in connection to environmental labeling. Therefore, seven factors, twenty-one sub-factors, and six strategies are identified. The results of Fuzzy AHP show the prominent role of product attributes, marketing and promotion strategies, and sustainability practices while seeking to change consumer behavior with regard to environmental labeling. In addition, the findings from the Fuzzy WASPAS approach suggest that environmentally friendly packaging, product labeling, and partnerships and collaboration are the most successful green innovation and marketing strategies. The findings of this study can help shape the design of more effective environmental labeling programs and marketing plans for encouraging sustainable purchases.

KEBERHASILAN USAHA DITINJAU DARI BALANCE SCORECARD

This research aims to develop a system for measuring the organizational performance of real estate development companies based on the concept of Balance Scorecard (BSC) and Analytical Hierarchy Process (AHP) at PT. Meka Asia Property. This research is a type of quantitative research with a descriptive approach. This research uses primary data and secondary data with several data collection methods including interviews, questionnaires, literature studies and documentation. The research results show that PT. Meka Asia Properti has performed well. Judging from the average score obtained, it is 3.7 which is included in "Good Company Performance". From the AHP results, the weight of each perspective is 0.64 for the customer perspective which shows the highest priority, and than the internal business process perspective at 0.21, then the financial perspective with a weight of 0.11, then the last one is 0 .04 for the growth and learning perspective which has the lowest weight

A Genetic Algorithm Based Hybrid Routing Technique for IOT Systems

Internet is gaining new heights in the today’s technological environment. Internet of things (IoT) is a new class of Internet based heterogeneous networked application systems which uses various types of sensor/detectors and devices for the exchange and collection of data. Devices need to be in the radio range and must remain continuously connected to the internet. IoT can sense and control the objects remotely across existing networked architecture and builds chances for direct combination among the physical world and computer-based systems. It is believed that, in future many of the household application will be based on IoT. Due to their applications in situations such as building home automation, emergencies, crisis management, energy management and healthcare, message security becomes of top importance in IoT. An optimized routing scheme using the intelligent mathematical techniques, which includes Genetic Algorithms(GA) and Analytical Hierarchy Process(AHP), is proposed here and an optimized route can be encrypted using cryptanalytic techniques. Simulation results of GA and AHP are also presented here for the proposed network. It has been found that overall efficiency of the IoT system can be greatly improved with the proposed model. A comparison is also provided in discussion section which demonstrates that hybrid algorithms developed for IoT systems performs much better than traditional routing algorithms. Keywords: IoT; AHP;GA; Cryptanalytic Techniques; WSN

Consumer shift behavior from conventional to Islamic banking: decision-making analysis through AHP

PurposeThis study aims to investigate the comparative importance of factors influencing the customer shift behavior from conventional to Islamic banking for consumer finance in Pakistan.Design/methodology/approachFirst, a comprehensive analysis of the existing literature was conducted to identify a broad range of factors related to customer shift behavior. Through an expert sampling, 14 essential factors were chosen for further investigation. Second, a questionnaire was developed using the analytical hierarchy process (AHP). This questionnaire was then distributed among customers who had previously been using conventional banking services but had made a shift toward Islamic banking. The purpose of this questionnaire was to gather data and insights regarding their motivations and decision-making process behind the shift, and a sample 215 customers are taken in the study.FindingsThe results of AHP depicts that the religiosity is a most important factor influencing customers to shift from conventional to Islamic banking, and the second most important factor is pricing. The other subsequent important factors are reputation of the bank, marketing and promotion, service quality, behavior of banks staff, Shariah compliance, management, convenience, fastness and charges/fees. Whereas documentation, ambiance and recommendation are found least important factors to patronize Islamic banking.Practical implicationsThe study recommends Islamic banks to create awareness, concentrating on religious factor to have a greater impact on growth of Islamic banking and shrinking of conventional banking. Further, it suggests Islamic banks to apply Shariah-recommended approach of doing business, to help community in best possible way and to launch differentiated marketing techniques to attract customers. It also proposes regulatory authorities to provide facilitation to Islamic banking business by providing level playing field similar to conventional banking, tax equality and conversion of public financing from conventional banking to Islamic banking.Originality/valueThe originality of this study lies in its comprehensive analysis of factors influencing consumer shift behavior from conventional to Islamic banking in the context of consumer finance in Pakistan. By using the AHP, the study provides a structured approach to understanding the relative importance of these factors. This is the uniqueness of the paper that it applies the AHP for the analysis. Furthermore, the study offers practical implications for Islamic banks and regulatory authorities to effectively address and capitalize on this consumer shift trend.

Analysis of land‐based parameters and development of multi‐criteria decision support system for demarcation of potential aquaculture sites in Nagapattinam, Tamil Nadu, India

AbstractThe aim of the present study was to develop a multi‐criteria decision support system to find out possible aquaculture sites available in Nagapattinam district of Tamil Nadu, India. This study focuses on identifying possible aquaculture sites available in Nagapattinam district using remote sensing and GIS approaches. A geographical model has been developed to choose the probable aquaculture sites. The remote sensing and geographic information system techniques were applied to study the decisive parameters that play a vital role in the site suitability for aquaculture purposes. The chosen decisive parameters viz., normalized difference vegetation index, digital elevation model, soil type, normalized difference water index, land use land cover area and land surface temperature were subjected to the development of decision support system. Moreover, four different multi‐criteria decision support techniques viz., weighted overlay, analytical hierarchy process, fuzzy classified analytical hierarchy process and fuzzy classified weighted overlay were applied in the present study. The results obtained from the study rendered that the weighted overlay and the analytical hierarchy process outperforms the fuzzy classified models. The suitability ratio of analytical hierarchy process and weighted overlay methods were found to be 12.7 and 12.4 respectively. A total of 25 locations were selected and mapped in the Nagapattinam region and their accuracy was checked. The analytical hierarchy process results were obtained with an accuracy of 84%. Hence, the analytical hierarchy process provided better results than the weighted overlay technique. The study rendered that the area of 7.22% is highly suitable for aquaculture. These findings are essential for the development of sustainable aquaculture, assisting stakeholders in selecting suitable aquaculture sites that maximize productivity while minimizing environmental degradation.

Analyzing the role of social media in addressing public health development in India through a Multi-Criteria Decision-Making Approach

Nowadays, social media plays a vital role in managing public health developments. This research study has analyzed the factors of social media enhancing public health development. The analytic hierarchy process (AHP) is used to rank the factors, and the Decision-making trial and evaluation laboratory (DEMATEL) is used to find out the network relationship map of the role of social media in public health development. Results of AHP revealed that social media enhances public engagement and participation, collaboration of health professionals worldwide, and helps in remote monitoring of patients. Results of DEMATEL show that the Development of health policies, Repository of public health-related information, and Prevention of health-related misinformation and fake news are classified as the topmost causal factors. Real-time monitoring of health conditions is the factor with the most significant impact on other factors. Policymakers and stakeholders should focus on improving public health through social media. Social media enhances collaboration among health professionals worldwide, and various stakeholders use it to address public health issues in the case of COVID-19.

정착지원전문가를 위한 교육요구분석

This study aims to prioritize education contents to improve the abilities of settlement workers who provide settlement support services to North Korean immigrants who have migrated to South Korea. In this study, based on the analysis results of Analytic Hierarchy Process (AHP), the results derived by conducting FGI for experts in the field are as follows. As a research results, first, practical skills that can be used in the field are important. Second, family-based understanding is necessary in understanding migrants as a target of support. Third, protect and manage sensitive personal information derived from the process to difficulties faced by migrants is important. Fourth, education contents to the method of providing migrant support services that can respond to situations in which face-to-face services are impossible is required.

New Urbanism in Ardabil City, Iran

ABSTRACT The City of Ardabil was studied from the perspective of New Urbanism to identify implementation strategies for solving its problems and improving its overall condition. To achieve this goal, the Analytical Hierarchy Process (AHP), Strengths, Weaknesses, Opportunities, and Threats (SWOT), and the average scores methods by the 45 experts have been used. The result of AHP is to recognize the priorities of the 10 principles of New Urbanism. The results of the SWOT are as follows: 1) The strengths will overcome the weaknesses. 2) Opportunities will overcome threats. 3) The dominant strategy with a score of 2.9 for weaknesses and strengths, and a score of 2.6 for opportunities and threats is a combination of strengths and opportunities. The result of the average scores (2.288 out of 4) shows the “bad” state of the city for New Urbanism. Finally, three implementation strategies for the city were selected using an attractiveness questionnaire.

Analysis And Improvement Of Drug Supply Chain Risk Management Using House Of Risk (HOR) And Analytical Hierarchy Process (AHP) Approaches

Risk management is required because there is always a chance that problems will develop in supply chain activities. In industries engaged in health services, such as PT. Rukun Putera Bersama, in supply chain activities for the procurement of drugs, there is an opportunity for risks to arise. Therefore, it is necessary to carry out a risk analysis and design mitigation actions to mitigate the risks that are likely to arise in the drug procurement supply chain. This research was conducted using the House of Risk (HOR) model and the Analytical Hierarchy Process (AHP). After conducting the research, it was found that there were 23 risk events and 15 risk agents. There are 10 risk mitigation actions in the drug procurement supply chain. Furthermore, from the 10 mitigation actions, it is reprocessed using AHP. The results of AHP weighting obtained the best alternative strategy, namely the use of digital pharmacy management information system software to regulate and monitor pharmacy management performance.

Evaluating the suitability of underground space development based on social and economic factors

ABSTRACT Ma’anshan City, located in the Yangtze River Delta region, is a demonstration city for handling the industrial transfer of the Nanjing, Hefei, and Wanjiang Metropolitan Areas in China. Developing and utilizing underground space can effectively alleviate the land scarcity issue in urban development. The suitability evaluation of underground space development in Ma’anshan City offers valuable information support for the economic and efficient use of land resources. Drawing on POI, night light radiance, and population data, this study selects six indices, including POI kernel density, road node connection rate, night light radiance in the most recent year, change amplitude of night light radiance over the years, population density in the most recent year, and change amplitude of population density over the years. The study conducts a comparative analysis of the suitability of underground space development in Ma’anshan City using the Analytic Hierarchy Process (AHP) and the Combination Weight Method. Comparing the results of AHP and Combination Weight Method reveals that the latter can identify a more extensive range of highly suitable development zones than the former. This study provides an effective method for evaluating the suitability of underground space development in urban planning, which contributes to promoting sustainable urban development.

Evaluating barriers and strategies to green energy innovations for sustainable development: developing resilient energy systems

Achieving sustainable development and reducing climate change require a shift to green energy sources. Yet, switching to green energy sources necessitates substantial research and development, as well as regulatory and policy adjustments. Additionally, a number of obstacles are impeding the development of green energy innovation. This study identified several key barriers and sub-barriers that obstruct the development of green energy innovation. Thus, this study identified multiple strategies to overcome those barriers. Therefore, this study uses the fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods to assess and rank the barriers and strategies to building resilient energy systems in China. First, the fuzzy AHP method identifies the four barriers and sixteen sub-barriers, while the fuzzy TOPSIS method classifies six strategies for the green energy innovation system in China. According to AHP results, funding and policy constraints are the most crucial barriers to green energy innovation. The fuzzy TOPSIS findings show that providing incentives for green energy investment and strengthening policy implementation and enforcement are the most significant strategies for overcoming the barriers to green energy projects.

Evaluating and Prioritizing the Green Infrastructure Finance Risks for Sustainable Development in China

China has become a global leader in green infrastructure finance, investing heavily in renewable energy, sustainable transportation, and green buildings. However, there are multiple risks and challenges that impede the development of green infrastructure finance. Thus, this study analyzes and prioritizes the risks associated with green infrastructure finance in China and proposes policy plans to mitigate these risks. A Fuzzy analytical hierarchy process (AHP) is used to identify the main risks associated with green infrastructure finance. The main risks are further decomposed into sub-risks. After, the Fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is used to prioritize the key policy plans to mitigate risks and sub-risks. The results of Fuzzy AHP show that policy and regulations are the most significant risk associated with green infrastructure finance in China, followed by financial risks, and technical risks. The results of Fuzzy VIKOR reveal that increasing the availability of financing options is the most crucial policy plan to mitigate the risks and sub-risks for green infrastructure finance. The developed standardized technical guidelines and procedures and a legal and regulatory framework are ranked second and third are the most effective and feasible policy plans.

Development scheme screening considering reservoir damage based on the AHP model

The development process of oil and gas fields is affected by engineering and geology. Reservoir damage is significant as a bridge connecting these two disciplines. The life cycle of oil and gas fields can be prolonged by making development plans that consider reservoir damage. Therefore, this study performed experiments and discusses a Cretaceous reservoir development in the Chun17 block of the Chunguang Oilfield. We have carried out five sensitivity experiments on typical cores from the block, and analyzed lithology, physical properties, and crude oil. A mathematical model based on the Analytic Hierarchy Process (AHP) was then established based on the core data.Overall, the reservoir in the study area has ultra-high porosity and high permeability. The reservoir has moderately strong water sensitivity (damage rate is 38 ~ 90%) and moderately strong alkali sensitivity (damage rate is 22 ~ 75%). The crude oil belongs to extra-heavy oil reservoirs (containing 2.43% wax, 0.96% sulfur, 20.25 m% gum, 7.35 m% asphalt, 38.26 m% saturated hydrocarbon, and 27.51 m%). The crude oil is sensitive to temperature changes. Based on the AHP model analysis, the development scheme chooses the third (weight 0.1757) of the conventional analytic results of AHP; the Thermal oil production C1 scheme has the most stable future trend and appears to be the best option. In the next step, using fire flooding technology to develop the reservoir will benefit the most economically. The workflow consisting of "conclusion of reservoir experiment → AHP mathematical modeling → verification of relative permeability of high-temperature oil and water → verification of trial production" is simple and effective. The findings of this study can help to better understand the idea and process of making development plans for sensitive oil and gas fields through reservoir evaluation. Combining experimental data with mathematical modeling can find a balanced combination point in qualitative and quantitative analysis. Whether this combination point is correct can be verified by field engineering practice.

How to establishing an indicators framework for evaluating the performances in primary TB control institutions under the new TB control model? Based on a Delphi study conducted in Guangxi, China

BackgroundIn China, the new TB control model of trinity form had been implemented in all parts, and the comprehensively evaluation to the performances in primary TB control institutions were closely related to the working capacity and quality of TB service, but there was still no an unified evaluation indicators framework in practice and few relevant studies. The purpose of this study was to establish an indicators framework for comprehensively evaluating the performances in primary TB control institutions under the new TB control model of trinity form in Guangxi, China.MethodsThe Delphi method was used to establish an indicators framework for comprehensively evaluating the performances in primary TB control institutions under the new TB control model of trinity form, and the analytic hierarchy process(AHP) was used to determine the weights of all levels of indicators, from September 2021 to December 2021 in Guangxi, China.ResultsA total of 14 experts who had at least 10 years working experience and engaged in TB prevention and control and public health management from health committee, CDC, TB designated hospitals and university of Guangxi were consulted in two rounds. The average age of the experts were (43.3 ± 7.549) years old, and the effective recovery rate of the questionnaire was 100.0%. The average value of authority coefficient of experts (Cr) in the two rounds of consultation was above 0.800. The Kendall’s harmony coefficient (W) of experts’ opinions on the first-level indicators, the second-level indicators and the third-level indicators were 0.786, 0.201 and 0.169, respectively, which were statistically significant (P < 0.05). Finally, an indicators framework was established, which included 2 first-level indicators, 10 second-level indicators and 37 third-level indicators. The results of analytic hierarchy process (AHP) showed that the consistency test of all levels of indicators were CI < 0.10, which indicating that the weight of each indicator was acceptable.ConclusionThe indicators framework established in this study was in line with the reality, had reasonable weights, and could provide a scientific evaluation tool for comprehensively evaluating the performances in primary TB control institutions under the new TB control model of trinity form in Guangxi, China.

Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India

Groundwater resources are alarmingly depleting due to over-exploitation and significant climate changes over time. Therefore, demarcation of groundwater potential zones is essential for addressing the needs of various industries in semi-arid area. Depleting groundwater resources, topography, aquifer features and climatic factors make it necessary to demarcate ground water potential zones in semiarid region of Rajasthan. The Analytical Hierarchy Process (AHP), Geographic Information System (GIS), and Multi Influence Factor (MIF) were used to determine the groundwater potential zones (GWPZs) in the semi-arid region of Jaipur, located in western Rajasthan. In present study, ten influential factors were employed i.e., geomorphology, land use/land cover (LULC), drainage density, rainfall, topographic wetness index (TWI), soil texture, slope, roughness, topographic position index (TPI) and curvature. In AHP technique, the pairwise comparison matrix was generated, and weightages were given to each thematic layer while for MIF, a proposed score for each layer was computed from the aggregate weight of major and minor effects. The GWPZ map generated by AHP technique was categorised into three parts: high, moderate and poor potential zones, covering 13%, 50.7% and 36.3% of the district. While, the GWPZ map produced with the MIF technique was also divided into the same poor, moderate, and high categories, encompassing 35.3, 44.1, and 20.6% of the district, respectively. The results of AHP and MIF techniques were then cross-validated with well depth data obtained from CGWB report, 2019–20. The receiver operating characteristics (ROC) were plotted and the findings shows that the Area under the Curve (AUC) was 79% and 76% for AHP and MIF, respectively which is considered as moderate to high in predictive precision. The study would be helpful in locating drilling sites for groundwater exploration and developing sustainable groundwater and land use policies.