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Journal articles on the topic 'Two-sector evaluation model'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

최용재. "Econometric Policy Evaluation in a Two Sector Model." Journal of Economic Research (JER) 18, no. 1 (2013): 55–77. http://dx.doi.org/10.17256/jer.2013.18.1.003.

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Wen, Conghua, and Junwei Wei. "Volatility Forecasting Based on Cyclical Two-Component Model: Evidence from Chinese Futures Markets and Sector Stocks." Mathematical and Computational Applications 25, no. 3 (2020): 59. http://dx.doi.org/10.3390/mca25030059.

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This article aims to study the schemes of forecasting the volatilities of Chinese futures markets and sector stocks. An improved method based on the cyclical two-component model (CTCM) introduced by Harris et al. in 2011 is provided. The performance of CTCM is compared with the benchmark model: Heterogeneous Autoregressive model of Realized Volatility type (HAR-RV type). The impact of open interest for futures market is included in HAR-RV type model. We employ 3 different evaluation rules to determine the most efficient models when the results of different evaluation rules are inconsistent. Th

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Zimková, Emília, Petra Gurčíková, Michaela Vidiečanová, Ľubomír Pintér, and Colin Lawson. "Efficiency Evaluation of Water Sector in the Czech Republic: Two-Stage Network Dea." Statistika: Statistics and Economy Journal 103, no. 4 (2023): 462–75. http://dx.doi.org/10.54694/stat.2023.26.

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The water and wastewater services, usually provided in a monopoly regime, do not offer the operators natural incentives toward efficiency and innovation. Therefore the main aim of the regulatory institutions is to stimulate a competitive environment. The contribution measures technical efficiency of 21 water and waste water companies in the Czech Repulic. For the period 2018–2020, the two-stage slacked-based model (SBM) by Kaoru Tone and Miki Tsutsui (2009) was applied. The results of this study are heterogeneous. Only one company out of 21 can be identified as an overall technically efficient

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AKBURAK, Dilek, and Mert AKBAŞ. "AN INTEGRATED FUZZY MCDM MODEL FOR HOTEL WEBSITE EVALUATION." Mühendislik Bilimleri ve Tasarım Dergisi 11, no. 4 (2023): 1398–409. http://dx.doi.org/10.21923/jesd.1245698.

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Changing and increasing customer expectations with the development of technology have also led to strategic changes in the tourism sector. The websites where the hotels offer their services are the first platforms they encounter with the customers. They should pay attention to various evaluation criteria in order to draw the attention of the customer and gain an advantage in the competitive market. This study aims to present a practical, useful, comprehensive, and integrated method for the evaluation of hotels' websites. In this study, a two-fold MCDM approach was proposed by taking into accou

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Jeong, Hyeok, and Robert M. Townsend. "GROWTH AND INEQUALITY: MODEL EVALUATION BASED ON AN ESTIMATION-CALIBRATION STRATEGY." Macroeconomic Dynamics 12, S2 (2008): 231–84. http://dx.doi.org/10.1017/s1365100507070149.

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This paper evaluates two well-known models of growth with inequality that have explicit micro underpinnings related to household choice. With incomplete markets or transactions costs, wealth can constrain investment in business and the choice of occupation and also constrain the timing of entry into the formal financial sector. Using the Thai Socio-Economic Survey (SES), we estimate the distribution of wealth and the key parameters that best fit cross-sectional data on household choices and wealth. We then simulate the model economies for two decades at the estimated initial wealth distributio

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Zhang, Lu, Hongyu Yang, and Xiping Wu. "Air Traffic Complexity Evaluation with Hierarchical Graph Representation Learning." Aerospace 10, no. 4 (2023): 352. http://dx.doi.org/10.3390/aerospace10040352.

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Air traffic management (ATM) relies on the running condition of the air traffic control sector (ATCS), and assessing whether it is overloaded is crucial for efficiency and safety for the entire aviation industry. Previous approaches to evaluating air traffic complexity in a sector were mostly based on aircraft operational status and lacked comprehensiveness of characterization and were less adaptable in real situations. To settle these issues, a deep learning technique grounded on complex networks was proposed, employing the flight conflict network (FCN) to generate an air traffic situation gr

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Persaud, Nadini. "A Practical Framework and Model for Promoting Cost-Inclusive Evaluations." Journal of MultiDisciplinary Evaluation 14, no. 30 (2018): 88–104. http://dx.doi.org/10.56645/jmde.v14i30.494.

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    Background: Cost studies are an important component of any serious professional evaluation. Regardless of whether an evaluation is conducted in the public or private sector, decision-makers want answers to two fundamental questions: (1) Is the program, project, or investment worthwhile? and (2) Can funds be used in a better way? The answers to both questions rely on the use of cost analysis techniques. However, according to the literature, most evaluations do not include any type of cost study (see Christie & Fleischer, 2010) and when studies are included, very

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Stella, Ajeng Widiarni, and Raafaldini Mirzanti Isti. "Business Model Innovation Strategy for Creative Industry in Indonesia." International Journal of Current Science Research and Review 06, no. 02 (2023): 934–39. https://doi.org/10.5281/zenodo.7604867.

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<strong>ABSTRACT: </strong>Indonesia’s creative economy sector has been a promising GDP source based on its steadily increasing performance since 2010. Around 70% of the businesses in this sector are said to be Micro, Small, and Medium Enterprises (MSMEs). Just like any other business, MSMEs also faces challenges not only from internal but also an external factor, hence it is crucial for an MSME’s survival to have resilience in facing problems and uncertainties. One way to assure a business’ resilience is by developing a competitive advantage that could be achieved with a goo

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Xie, Hua, Minghua Zhang, Jiaming Ge, Xinfang Dong, and Haiyan Chen. "Learning Air Traffic as Images: A Deep Convolutional Neural Network for Airspace Operation Complexity Evaluation." Complexity 2021 (January 30, 2021): 1–16. http://dx.doi.org/10.1155/2021/6457246.

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A sector is a basic unit of airspace whose operation is managed by air traffic controllers. The operation complexity of a sector plays an important role in air traffic management system, such as airspace reconfiguration, air traffic flow management, and allocation of air traffic controller resources. Therefore, accurate evaluation of the sector operation complexity (SOC) is crucial. Considering there are numerous factors that can influence SOC, researchers have proposed several machine learning methods recently to evaluate SOC by mining the relationship between factors and complexity. However,

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Lychev, Andrey V., Svetlana V. Ratner, and Vladimir E. Krivonozhko. "Two-Stage Data Envelopment Analysis Models with Negative System Outputs for the Efficiency Evaluation of Government Financial Policies." Mathematics 11, no. 24 (2023): 4873. http://dx.doi.org/10.3390/math11244873.

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The main purpose of this study is to provide a comparative analysis of several possible approaches to applying data envelopment analysis (DEA) in the case where some decision making units (DMUs) in the original sample have negative system outputs. In comparison to the traditional model of Charnes, Cooper, and Rhodes (CCR) and the CCR model with a scale shift to measure second-stage outputs, the range directional measure (RDM) model produces the most appropriate results. In this paper, an approach is proposed for estimating returns to scale. The study applies a two-stage DEA model with negative

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Borodulin, V., and G. Jikia. "Analytic evaluation of two-loop renormalization constants of enhanced electroweak strength in the Higgs sector of the Standard Model." Physics Letters B 391, no. 3-4 (1997): 434–40. http://dx.doi.org/10.1016/s0370-2693(96)01546-8.

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Adebiyi, S. J., B. O. Adebesin, S. O. Ikubanni, and B. W. Joshua. "Performance evaluation of GIM-TEC assimilation of the IRI-Plas model at two equatorial stations in the American sector." Space Weather 15, no. 5 (2017): 726–36. http://dx.doi.org/10.1002/2017sw001596.

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Moldabekov, Yerkebulan, Yenlik Nurgaliyeva, Assyl Smagulova, Ablay Smagulov, and Meiramkul Saiymova. "Comparison of job satisfaction between government employees and private sector employees." International Journal of Innovative Research and Scientific Studies 8, no. 1 (2025): 296–307. https://doi.org/10.53894/ijirss.v8i1.3822.

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This study examines the comparison of job satisfaction between government and private sector employees. Labor is a legal category that defines an employee's employment. Employee satisfaction is defined as the evaluation of their performance and work environment. It includes not only employee satisfaction with salary and benefits but also satisfaction with job content, excellent leadership, relationships with coworkers, and so on. The article describes the labor market model, the private sector model, and the public sector model. Upon comparing the private sector and public sector models in the

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Esmati Beyrami, Hojjat, Aliasghar Motaghi, Younes Badavar Nahandi, and Ahmad Mohamadi. "A comprehensive performance audit model in the public health sector using the grounded theory approach." Research and Development in Medical Education 13 (December 26, 2024): 29. https://doi.org/10.34172/rdme.33240.

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Background: Performance auditing is one requirement for public sector managers to be accountable to the public. It offers an unbiased evaluation of the responsibilities, effectiveness, or expenses linked to implementing policies, programs, or operations in the public sector. This paper aims to develop a performance auditing model in the health sector. Methods: This qualitative study is based on grounded theory. A sample of 16 individuals, including university professors specializing in performance auditing and managers and experts, particularly those with a background in the public health sect

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Dincer, Hasan. "HHI-based evaluation of the European banking sector using an integrated fuzzy approach." Kybernetes 48, no. 6 (2019): 1195–215. http://dx.doi.org/10.1108/k-02-2018-0055.

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Purpose This paper aims to evaluate the market concentration and competition in the European Banking Sector using an integrated multi-criteria decision-making approach under the fuzzy environment. Design/methodology/approach The hybrid model combining fuzzy decision-making trial and evaluation laboratory (DEMATEL), fuzzy analytic network process (ANP) and fuzzy VIKOR methods is applied to measure the market competition and concentration in the European Banking Sector. For this purpose, two academicians and one expert from banking sector with at least five-year experiences are selected to evalu

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Safaei, Mehdi, Khalid Yahya, and Saleh Al Dawsari. "A Comprehensive Evaluation Model for Sustainable Supply Chain Capabilities in the Energy Sector." Sustainability 16, no. 21 (2024): 9171. http://dx.doi.org/10.3390/su16219171.

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This study introduces a comprehensive model to evaluate multiple capabilities within the sustainable supply chain evaluation framework. The primary aim is to determine the significance of various capabilities in the context of sustainable supply chains. The research involved a sample of sixteen companies operating in Iran’s energy sector. The findings indicate that the majority of these companies are at level two in terms of capability. Therefore, it is recommended that these companies employ this model to assess their capability levels and identify any existing gaps. Methodologically, a check

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Liu, Zibing, and Binyu Yang. "Enhancing Portfolio Allocation by LSTM Model." Advances in Economics, Management and Political Sciences 48, no. 1 (2023): 107–15. http://dx.doi.org/10.54254/2754-1169/48/20230432.

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Accurate forecasting of stock prices and the construction of optimized portfolios are essential for investors in the dynamic technology sector. This paper proposes a comprehensive approach that combines Long Short-Term Memory (LSTM) models with portfolio construction techniques specifically tailored to the stocks of Apple Inc. (AAPL), Meta Platforms Inc. (META), Amazon.com Inc. (AMZN), Microsoft Corporation (MSFT), and NVIDIA Corporation (NVDA) from January 1st ,2018 to May 31st, 2023. By leveraging the sequential nature of historical stock price data(80% of data), LSTM models capture complex

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Singh, Rajwinder, Rahul Rana, and Sunil Kr Singh. "Performance Evaluation of VGG models in Detection of Wheat Rust." Asian Journal of Computer Science and Technology 7, no. 3 (2018): 76–81. http://dx.doi.org/10.51983/ajcst-2018.7.3.1892.

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The agricultural sector is the backbone of Indian economy and social development but due to lack of awareness towards crop management, a large number of crops get wasted each year. Automated Systems are required for this purpose. This paper tries to highlight the efficiency of two existing models of deep learning, VGG16 and VGG19 for proper detection of wheat rust disease in the infected wheat crop. These two models use convolutional neural networks for image classification and which can be used to design an intelligent system which can easily detect wheat rust in crop images. This paper basic

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Kerdnoonwong, Sumolnit. "Training Model to Enhance Human Resource Development of Government Organizations." International Journal of Engineering & Technology 7, no. 4.38 (2018): 984. http://dx.doi.org/10.14419/ijet.v7i4.38.27622.

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The research was aimed to (1) study the best practices of the organizations that have been awarded the Public Sector Management Quality Award (PMQA) (2) present the recommendations of the training model that promote human resource development of government organizations in Thailand. The study was found that the Department of Community Development and the Department of Mental Health were only two organizations that have been awarded PMQA in the sector of staff administration and development. They had similar policy on staff administration and development which was focused on the development of

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Duarte, Thamires Eis, Priscilla Cristina Cabral Ribeiro, and Helder Gomes Costa. "Indicators and performance requirements for suppliers’ evaluation in the Brazilian electricity sector." Brazilian Journal of Operations & Production Management 21, no. 3 (2024): 1984. http://dx.doi.org/10.14488/bjopm.1984.2024.

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Objective: This paper presents a conceptual model comprising performance indicators designed for evaluating suppliers in companies within the electricity sector. Design / Methodology / Approach: The conceptual model was developed based on articles identified from Scopus and Web of Science, which provided indicators and their associated requirements, validated by both academics and practitioners. A multiple case study method was applied, and interviews were conducted with nine participants from six leading companies, which had the highest revenues in the electricity sector in Brazil. The interv

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Saxena, Dr Punita, and Dr Amita Kapoor. "Efficiency Evaluation of State Transport Undertakings of India using DEA-NN approach." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 10, no. 5 (2015): 2189–98. http://dx.doi.org/10.24297/ijmit.v10i5.622.

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The economy of any nation depends on the structure and functioning of its various sectors. Transport sector is one of the vital sectors for the financial system of any developing country. All other sectors are dependent on it either directly or indirectly. Thus improving the efficiency of this sector has become a major concern for the operators and the policy makers. The present paper presents an amalgamation of the two non-parametric techniques, Data Envelopment Analysis (DEA) and Neural Networks (NNs) to compute the efficiency scores of State Transport Undertakings of India. DEA is used to c

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Javed, Saad Ahmed, and Sifeng Liu. "Evaluation of outpatient satisfaction and service quality of Pakistani healthcare projects." Grey Systems: Theory and Application 8, no. 4 (2018): 462–80. http://dx.doi.org/10.1108/gs-04-2018-0018.

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PurposeThe purpose of this paper is to analyse the relationship between outpatient satisfaction and the five constructs of healthcare projects’ service quality in Pakistan using Deng’s grey incidence analysis (GIA) model, absolute degree GIA model (ADGIA), a novel second synthetic degree GIA (SSDGIA) model and two approaches of decision-making under uncertainty.Design/methodology/approachThe study proposes a new synthetic GIA model and demonstrates its feasibility on data (N=221) collected from both public and private sector healthcare projects of Punjab, the most populous province of Pakistan

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Shrivastava, Arvind, Kuldeep Kumar, and Nitin Kumar. "Business Distress Prediction Using Bayesian Logistic Model for Indian Firms." Risks 6, no. 4 (2018): 113. http://dx.doi.org/10.3390/risks6040113.

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The objective of the study is to perform corporate distress prediction for an emerging economy, such as India, where bankruptcy details of firms are not available. Exhaustive panel dataset extracted from Capital IQ has been employed for the purpose. Foremost, the study contributes by devising novel framework to capture incipient signs of distress for Indian firms by employing a combination of firm specific parameters. The strategy not only enables enlarging the sample of distressed firms but also enables to obtain robust results. The analysis applies both standard Logistic and Bayesian modelin

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Yücenur, G. Nilay, Selin Şentürk, and Ece Taşpatlatanlar. "Lean management approach in health sector: MCDM model proposal to prevention of waste." Decision Science Letters 13, no. 2 (2024): 427–40. http://dx.doi.org/10.5267/j.dsl.2024.1.004.

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Lean manufacturing in the manufacturing sector corresponds to lean management in the service sector. When health services are considered, it is seen that the concepts that are important in the manufacturing sector have the same importance for health services. Because waste is the main problem of every sector. Lean management approach in the health sector enables improvements by developing solutions to many other problems of healthcare professionals, patients and hospitals, such as reducing transaction costs, ensuring patient safety, and reducing processing times. This study was carried out wit

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Raharjo, Hendry, Roberta Guglielmetti Mugion, Henrik Eriksson, Ida Gremyr, Laura Di Pietro, and Maria F. Renzi. "Excellence models in the public sector. Relationships between enablers and results." International Journal of Quality and Service Sciences 7, no. 1 (2015): 120–35. http://dx.doi.org/10.1108/ijqss-01-2015-0011.

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Purpose – The purpose of this study is to identify possible correlations between the stated “enablers” and “results” in excellence models, and to explain how different variables contribute to the “enablers” and “results”. A cross-case study of two different excellence models, the Common Assessment Framework (CAF) in Italy and the Swedish Institute for Quality (SIQ) model for performance excellence, is proposed. Design/methodology/approach – The study is based on the evaluation of assessment reports of public organizations across two countries, Italy and Sweden. Canonical correlation was used f

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Cheng, Lijuan. "Two-way Evaluation and Analysis of Student-centered Pharmacy Teaching." BCP Social Sciences & Humanities 14 (December 17, 2021): 77–82. http://dx.doi.org/10.54691/bcpssh.v14i.169.

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Student-centered teaching model is a very important concept in the education sector, which will be restricted and influenced by many factors in the process of implementation. This paper focuses on investigating and studying the influence of teachers, students and supporting management of teaching reform on this teaching mode. According to undergraduates in pharmacy department of our hospital, the whole class was divided into study group and control group. Two-way evaluation method was used in the study group, and traditional experimental teaching method was used in the control group. The exper

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Arnold, Sebastian, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, and Alexander Löser. "SECTOR: A Neural Model for Coherent Topic Segmentation and Classification." Transactions of the Association for Computational Linguistics 7 (November 2019): 169–84. http://dx.doi.org/10.1162/tacl_a_00261.

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When searching for information, a human reader first glances over a document, spots relevant sections, and then focuses on a few sentences for resolving her intention. However, the high variance of document structure complicates the identification of the salient topic of a given section at a glance. To tackle this challenge, we present SECTOR, a model to support machine reading systems by segmenting documents into coherent sections and assigning topic labels to each section. Our deep neural network architecture learns a latent topic embedding over the course of a document. This can be leverage

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Hakansson, Hakan, and Björn Axelsson. "What is so special with outsourcing in the public sector?" Journal of Business & Industrial Marketing 35, no. 12 (2020): 2011–21. http://dx.doi.org/10.1108/jbim-06-2019-0280.

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Purpose This paper centers round outsourcing. The purpose of this paper is to direct attention to outsourcing in the public sector and focus on what could be special when considering outsourcing in such contexts. The authors try to portray the business activities in private and in public sector settings and identify some similarities and – more importantly – some significant differences. Design/methodology/approach The authors use two analytical tools, a classification system of various interfaces between a selling and buying firm and a two-fold scheme for strategic analyses of outsourcing or

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Cao, Lifei, Weiyi Cong, Yikun Su, and Zhizhe Zheng. "Research on the Production Capacity Evaluation of Prefabricated Component Manufacturing Enterprises." Buildings 14, no. 6 (2024): 1816. http://dx.doi.org/10.3390/buildings14061816.

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Abstract: Due to the industrialization of the construction sector, enterprises that manufacture prefabricated components are developing rapidly. Because the production capacity of each enterprise varies immensely, the upstream enterprises are unable to match the component manufacturing enterprises that are suitable for the supply target. With respect to the product capacity, scientific and accurate evaluations are crucial. The authors preliminarily determined factors that impact the production capacity of components and considered a literature review and the inspection results of component man

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Cahya, Fani Nurona, Hikmatulloh Hikmatulloh, Rangga Pebrianto, and Deny Novianti. "EVALUASI PENERIMAAN PENGGUNA APLIKASI ADONAI DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM)." INTI Nusa Mandiri 19, no. 2 (2025): 221–29. https://doi.org/10.33480/inti.v19i2.6077.

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The Adonai application is designed to make it easier to submit insurance and claims for customers by Kosppi employees, but the level of acceptance still needs to be researched. This research uses the Technology Acceptance Model (TAM) to evaluate the influence of perceived usefulness (9.92%) and perceived ease of use (35.04) on application acceptance. Analysis of data from 53 respondents shows that the two variables simultaneously contribute 66.8% to application acceptance. The results of this research support the validation of TAM as a technology evaluation model in the financial services sect

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Wieczorek-Kosmala, Monika, Joanna Błach, and Joanna Trzęsiok. "Analysis of Bankruptcy Threat for Risk Management Purposes: A Model Approach." International Journal of Financial Studies 6, no. 4 (2018): 98. http://dx.doi.org/10.3390/ijfs6040098.

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In previous works, the importance of risk management implementation was addressed with regard to the problem of bankruptcy threat, with the explanation of risk impact on higher bankruptcy costs or the underinvestment problem. However, the evaluation of the impact of risk outcomes is technically linked to risk frequency and risk severity as the two dimensions of the risk map. The purpose of our study is to advocate two additional dimensions that incorporate liquidity and/or debt capacity constraint in the aftermath of risk occurrence. In the conceptual dimension, we propose a model that may sup

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Mousavi, Mirtaher, Rajabali Daroudi, Marzieh Shirazikhah, et al. "Economic Evaluation of Rehabilitation of Spinal Cord Injury Patients in Iran in 2019." Journal of Rehabilitation 23, no. 3 (2022): 412–33. http://dx.doi.org/10.32598/rj.23.3.3369.2.

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Objective Despite the evidence that rehabilitation interventions are effective for spinal cord injury (SCI) patients, these interventions usually impose costs on the health system. Therefore, it is necessary to examine the cost-effectiveness of these interventions for the health system of countries through economic evaluation. In this study, we examined the cost-effectiveness and net financial benefits of rehabilitation services in treating spinal cord injuries in Iran. Materials & Methods Considering that this research is the first economic evaluation study related to spinal cord injury r

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Lin, Yuan, and Linyan Li. "Research on the Coupled and Coordinated Development of Tourism Informatization and Regional Tourism Economy in Jilin Province." Advances in Economics, Management and Political Sciences 116, no. 1 (2024): 6–14. http://dx.doi.org/10.54254/2754-1169/116/20242632.

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This study is focused on developing an integrated coordination model designed to conduct an empirical assessment of the evaluation metrics and their respective weights concerning the tourism sector and regional economic growth in Jilin Province. By analyzing the level of coupling and coordination between these two domains, the findings indicate that, although the coordination level currently falls within the expected range, it remains suboptimal. This is primarily due to the relatively modest comprehensive evaluation scores of both the tourism informatization framework and the regional tourism

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ABED, Abed Ahmed MEzher. "Impact of using cryptocurrencies on monetary policy: A model of El Salvador." Quantrade Journal of Complex Systems in Social Sciences 5, no. 1 (2023): 32–44. https://doi.org/10.5281/zenodo.8102444.

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In this study, the positive impact of cryptocurrencies on the monetary policy represented by the financial and banking sector of the State of El Salvador is evaluated for being one of the countries that do not have a national currency; in order to measure the extent of confidence and acceptance of banks and their customers in El Salvador to adopt cryptocurrencies in the field of banking and financial work, in addition to the possibility of issuing cryptocurrencies by the Central Bank of El Salvador. The evaluation tool was a questionnaire with two models; the first was for the banking sector,

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Singer, Hilal. "Application of a Performance Evaluation Model to the Paper and Paper Products Printing Sector: The DEA-AHP Hybrid Algorithm." Optimum Ekonomi ve Yönetim Bilimleri Dergisi 11, no. 2 (2024): 215–38. http://dx.doi.org/10.17541/optimum.1417219.

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The paper and paper products printing sector plays a crucial role in generating income, creating employment opportunities, and supporting exports and various industries. Measuring the efficiency of companies operating in this sector is important in identifying areas for improvement and enhancing overall performance. In this study, a two-stage DEA (data envelopment analysis)-AHP (analytic hierarchy process) approach is proposed to analyze the efficiency of twelve paper and paper products printing companies traded on Borsa Istanbul. The modified DEA method is employed to make pairwise comparison

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Wang, Yu, Wenjun Duan, Junqing Li, Dongdong Shen, and Peiyong Duan. "Thermal-Adaptation-Behavior-Based Thermal Sensation Evaluation Model with Surveillance Cameras." Sensors 24, no. 4 (2024): 1219. http://dx.doi.org/10.3390/s24041219.

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The construction sector is responsible for almost 30% of the world’s total energy consumption, with a significant portion of this energy being used by heating, ventilation and air-conditioning (HVAC) systems to ensure people’s thermal comfort. In practical applications, the conventional approach to HVAC management in buildings typically involves the manual control of temperature setpoints by facility operators. Nevertheless, the implementation of real-time alterations that are based on the thermal comfort levels of humans inside a building has the potential to dramatically improve the energy e

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Gong, Chen Chris, Falko Ueckerdt, Robert Pietzcker, et al. "Bidirectional coupling of the long-term integrated assessment model REgional Model of INvestments and Development (REMIND) v3.0.0 with the hourly power sector model Dispatch and Investment Evaluation Tool with Endogenous Renewables (DIETER) v1.0.2." Geoscientific Model Development 16, no. 17 (2023): 4977–5033. http://dx.doi.org/10.5194/gmd-16-4977-2023.

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Abstract. Integrated assessment models (IAMs) are a central tool for the quantitative analysis of climate change mitigation strategies. However, due to their global, cross-sectoral and centennial scope, IAMs cannot explicitly represent the temporal and spatial details required to properly analyze the key role of variable renewable energy (VRE) in decarbonizing the power sector and enabling emission reductions through end-use electrification. In contrast, power sector models (PSMs) can incorporate high spatiotemporal resolutions but tend to have narrower sectoral and geographic scopes and short

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Oosterhaven, Jan, Ed C. van der Knijff, and Gerard J. Eding. "Estimating Interregional Economic Impacts: An Evaluation of Nonsurvey, Semisurvey, and Full-Survey Methods." Environment and Planning A: Economy and Space 35, no. 1 (2003): 5–18. http://dx.doi.org/10.1068/a3569.

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Literature shows that nonsurvey input–output tables tend to produce regional multipliers with systematic upward biases. This paper explores the related, relatively uncharted territory of nonsurvey versus survey impact studies by means of a series of simulations. The base case is provided by a very detailed five region survey of both the forward and the backward impacts of the energy-distribution sector in the four northern provinces of the Netherlands. To deal adequately with the two-sided dependence between a firm or sector and a region, as opposed to using the traditional (gross) multipliers

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Ökmen, Önder, and Ahmet Öztaş. "Scenario based evaluation of a cost risk model through sensitivity analysis." Engineering, Construction and Architectural Management 22, no. 4 (2015): 403–23. http://dx.doi.org/10.1108/ecam-09-2014-0121.

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Purpose – Actual costs frequently deviate from the estimated costs in either favorable or adverse direction in construction projects. Conventional cost evaluation methods do not take the uncertainty and correlation effects into account. In this regard, a simulation-based cost risk analysis model, the Correlated Cost Risk Analysis Model, previously has been proposed to evaluate the uncertainty effect on construction costs in case of correlated costs and correlated risk-factors. The purpose of this paper is to introduce the detailed evaluation of the Cost Risk Analysis Model through scenario and

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MOHANRAJ, E., K. DURAISWAMY, and K. PRASANTH. "SECURE QoS-BASED ROUTING USING HIERARCHICAL KEY RANKING MODEL IN MANET." Journal of Circuits, Systems and Computers 23, no. 09 (2014): 1450128. http://dx.doi.org/10.1142/s021812661450128x.

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Quality of service (QoS) and security have been considered as two competent units to govern and administer end-to-end traffic across network. A mobile ad hoc network (MANET) is a type of wireless communication, every node can act as a router or base station. Secure QoS-based routing is an important problem in MANET. A hierarchical key ranking (HKR) model is presented here for secure group communications in MANETs. To enhance the security, one-to-one random mapping is performed using hash-based message authentication code (HashMAC). Due to the dynamic nature and topological changes in MANET, gr

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Le Pen, Claude, Laurent Palazzo, and Bertrand Napoléon. "A health economic evaluation of needle-based confocal laser endomicroscopy for the diagnosis of pancreatic cysts." Endoscopy International Open 05, no. 10 (2017): E987—E995. http://dx.doi.org/10.1055/s-0043-117947.

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Abstract Background and study aims The low sensitivity of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA), especially for the diagnosis of serous cystadenomas (SCAs), can be associated with diagnostic uncertainty that can regularly lead to unnecessary surgical procedures. Needle-based confocal laser endomicroscopy (nCLE) used with EUS-FNA improves diagnostic accuracy, helping to reduce unnecessary surgery and patient follow-up. This study was conducted to evaluate the economic benefit of EUS-FNA + nCLE. Patients and methods Probabilities used were derived from two studies represe

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Abdalla, Elcio, and Alessandro Marins. "The dark sector cosmology." International Journal of Modern Physics D 29, no. 14 (2020): 2030014. http://dx.doi.org/10.1142/s0218271820300141.

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The most important problem in fundamental physics is the description of the contents of the Universe. Today, we know that 95% thereof is totally unknown. Two thirds of that amount is the mysterious Dark Energy described in an interesting and important review [E. J. Copeland, M. Sami and S. Tsujikawa, Int. J. Mod. Phys. D 15 (2006) 1753]. We briefly extend here the ideas contained in that review including the more general Dark Sector, that is, Dark Matter and Dark Energy, eventually composing a new physical Sector. Understanding the Dark Sector with precision is paramount for us to be able to u

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Huynh, Van Da, and Awais Piracha. "An Evaluation on Climate Change Awareness in Tourism Sector in the Mekong Delta Region of Vietnam." Asian Social Science 15, no. 11 (2019): 93. http://dx.doi.org/10.5539/ass.v15n11p93.

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This study analyses the awareness level of key stakeholders about climate change impacts on the tourism sector in the Mekong Delta. In the regional context, stakeholders include tourism authorities, tourism businesses and tourists. The study investigates the following aspects of climate change awareness in the tourism sector in the region: 1) the climate change knowledge of tourism authorities, tourism businesses and tourists; 2) sources of awareness as well as quality of these sources; 3) climate change awareness education and action. As well as descriptive statistics, means and significant a

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Trachenko, M. B., and A. O. Volodina. "Efficiency of multi-factor models for evaluating the yield on financial assets in the Russian stock market." Financial Analytics: Science and Experience 13, no. 2 (2020): 147–66. http://dx.doi.org/10.24891/fa.13.2.147.

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Subject. The article addresses the use of multi-factor models, like CAPM model, Fama-French model, Carhart model, for evaluating profitability of financial assets in the Russian economy. Objectives. The purpose is to show the expediency of using multi-factor models for evaluating the profitability of financial assets of Russian companies; identify the most effective models for companies operating in various sectors of economy; make evaluation over different periods of time (two years, one year, half year, quarter, and month). Methods. The study draws on the CAPM model, Fama-French model and Ca

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Tsokos, Chris P., Malinda Iluppangama, and Dilmi Abeywardana. "Systematic Comparison, Evaluation and Identification of Robust Model to Forecast the Closing Price of S&P 500 Financial Sector through Classical and AI-Based Approaches." International Journal of Banking, Finance and Insurance Technologies 2, no. 1 (2024): 1–16. https://doi.org/10.61797/ijbfit.v2i1.339.

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S&P 500 is the largest and state-of-the-art stock market index in North America, which attracted a wide range of audience. The primary objective of this study is to compare the widely used four stock forecasting approaches: Long Term- Short Term Memory (LSTM), Gated Recurrent Unit, (GRU), Convolutional Neural Network, (CNN) and traditional forecasting approach: Auto- Regressive Integrated Moving Average (ARIMA) to identify the best and more robust forecasting model for daily and weekly closing price on the S&P 500 financial sector. Thus, we developed and compared the performance and qu

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Ngo, Anh D., Dana L. Alden, Nguyen Hang, and Nhuan Dinh. "Developing and Launching the Government Social Franchise Model of Reproductive Health Care Service Delivery in Vietnam." Social Marketing Quarterly 15, no. 1 (2009): 71–89. http://dx.doi.org/10.1080/15245000802632417.

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Social franchising, an effective social marketing business model, has increased the quality of health care services in developing and developed countries. Typically, private sector physicians and pharmacies are recruited by local or international nonprofit organizations into branded networks of clinics that benefit from economies of scale, a standardized business model, higher quality services, and sophisticated social marketing. While generally effective in the private sector, social franchising of public government operated clinics is very limited. As a result, the social franchise model is

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Afrin, Tasneema, and Fatema Tuj Johra. "AN EVALUATION OF FINANCIAL STABILITY AND SOUNDNESS OF THE BANKING SECTOR IN BANGLADESH." Journal of Business Administration 43, no. 1 (2022): 1–31. https://doi.org/10.5281/zenodo.7497771.

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This research is an endeavor to assess the soundness of financial health of banking sector through IMF prescribed Core Financial Soundness Indicators Model (FSI) for the selected banks in Bangladesh based on a panel data of 155 Bank-year observations during the time horizon of 2015-2019. This study also assessed how FSIs vary across different groups of banks (State-owned, Conventional Private Commercial Banks (PCBs), Islamic Banks, Foreign Banks, 4th Generation Banks) and impact the stability of banks in Bangladesh. Two separate analysis have been conducted: Core FSI with ANOVA and bank stabil

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Golovina, Lidia, and Ol'ga Logacheva. "Evaluation of the effective functioning of agricultural organizations in the Oryol region." Russian Journal of Management 13, no. 1 (2025): 67–79. https://doi.org/10.29039/2500-1469-2025-13-1-67-79.

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In our research and scientific publications for more than two decades, special attention has been paid to the problems of functioning of agricultural organizations of the Oryol region in the system of inter-industry interaction. Considering agricultural organizations as subjects of agricultural entrepreneurship, built into the system of inter-industry relations, we have established that the forms and mechanisms of their interaction are constantly adapted to changing conditions of the external environment to level the negative impact of economic and geopolitical factors and are capable of trans

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Que, Qinxuan. "Comparison Of Methods for Predicting Changes in Stock Trading Volume." Highlights in Business, Economics and Management 25 (January 20, 2024): 134–40. http://dx.doi.org/10.54097/ekjz5063.

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Stocks occupy an important place in the financial sector, while machine learning, which uses data to solve problems, has been applied in several fields. In this paper, three methods of multivariate linear model, BP neural network and ELMAN neural network are adopted to predict the transaction volume change value of ZTE and compare the evaluation. The study shows that, in the short-term prediction of BP neural network and multiple linear model, the two methods have good prediction effect, the BP neural network is stronger; ELMAN neural network is worse, it is not recommended to predict the trad

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Kurnadipare, Aleytha Ilahnugrah, Sri Amaliya, Khairil Anwar Notodiputro, Yenni Angraini, and Laily Nissa Atul Mualifah. "COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 1 (2025): 385–96. https://doi.org/10.30598/barekengvol19iss1pp385-396.

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Indonesia's agricultural sector plays a crucial role in the national economy, with significant export potential and supporting the livelihoods of the majority of the population. As part of the government's vision to make Indonesia the world's food barn by 2045, increasing the volume and value of agricultural product exports is a primary focus, making export value forecasting essential for supporting strategic decision-making. Sequential data analysis is an important approach in analyzing data collected over a specific period. This study aims to compare two popular methods in forecasting the ex

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