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1

BRADY, PETER J. "Measuring retirement resource adequacy." Journal of Pension Economics and Finance 9, no. 2 (2008): 235–62. http://dx.doi.org/10.1017/s1474747208003806.

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AbstractTo maintain their standard of living during retirement, it is often assumed that individuals need to save enough to replace 75–80% of their final pay. This paper develops a replacement rate measure that better corresponds with a replacement of consumption by properly accounting for savings, taxes, and owner-occupied housing. Savings and investment behavior judged by standard analysis to be inadequate is shown to result in high real consumption during retirement relative to pre-retirement consumption. For example, the simulated savings and investment behavior of single individuals in this study results in retirement income of about 60% of final earnings, well below the typical adequacy threshold of 75–80%. However, this corresponds to replacing about 90% of pre-retirement consumption for renters and over 100% for homeowners who have paid off their mortgage.
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Sener, Adil Caner. "Texas's Energy-only Resource Adequacy Paradox." Electricity Journal 26, no. 4 (2013): 22–33. http://dx.doi.org/10.1016/j.tej.2013.04.004.

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Sener, Adil Caner. "A Hybrid Resource Adequacy Compensation Mechanism." Electricity Journal 26, no. 9 (2013): 36–41. http://dx.doi.org/10.1016/j.tej.2013.09.015.

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Simshauser, Paul. "Resource Adequacy, Capital Adequacy and Investment Uncertainty in the Australian Power Market." Electricity Journal 23, no. 1 (2010): 67–84. http://dx.doi.org/10.1016/j.tej.2009.12.006.

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BABIARZ, PATRYK, CLIFF A. ROBB, and ANN WOODYARD. "Family Decision Making and Resource Protection Adequacy." Journal of Consumer Affairs 46, no. 1 (2012): 1–36. http://dx.doi.org/10.1111/j.1745-6606.2012.01224.x.

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6

Bushnell, James. "Electricity Resource Adequacy: Matching Policies and Goals." Electricity Journal 18, no. 8 (2005): 11–21. http://dx.doi.org/10.1016/j.tej.2005.08.005.

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Schubert, Eric S., David Hurlbut, Parviz Adib, and Shmuel Oren. "The Texas Energy-Only Resource Adequacy Mechanism." Electricity Journal 19, no. 10 (2006): 39–49. http://dx.doi.org/10.1016/j.tej.2006.11.003.

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8

La Flair, Lareina N., Carol S. Fullerton, Stephen J. Cozza, et al. "Military Families: Measurement of Community Resource Adequacy." Psychological Reports 117, no. 1 (2015): 133–43. http://dx.doi.org/10.2466/08.pr0.117c14z0.

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Petz, Marlene, Georg Achleitner, Bojana Mihic, and Robert Schürhuber. "Resource Adequacy Methodologies in the European framework – how to take flexibilities into account in future modelling of resource adequacy?" CIRED - Open Access Proceedings Journal 2020, no. 1 (2020): 225–28. http://dx.doi.org/10.1049/oap-cired.2021.0313.

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10

Berra, C. "In-hospital glucose monitoring: adequacy and resource management." Journal of AMD 20, no. 3-4 (2017): 201. http://dx.doi.org/10.36171/jamd17.20.3-4.06.

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11

Dragoon, K., and V. Dvortsov. "Z-Method for Power System Resource Adequacy Applications." IEEE Transactions on Power Systems 21, no. 2 (2006): 982–88. http://dx.doi.org/10.1109/tpwrs.2006.873417.

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Ruiz, Pablo A., and George Gross. "Short-Term Resource Adequacy in Electricity Market Design." IEEE Transactions on Power Systems 23, no. 3 (2008): 916–26. http://dx.doi.org/10.1109/tpwrs.2008.926094.

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13

Dhungana, Dinesh, and Rajesh Karki. "Data Constrained Adequacy Assessment for Wind Resource Planning." IEEE Transactions on Sustainable Energy 6, no. 1 (2015): 219–27. http://dx.doi.org/10.1109/tste.2014.2364778.

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14

Kwon, Jonghwan, Zhi Zhou, Todd Levin, and Audun Botterud. "Resource Adequacy in Electricity Markets With Renewable Energy." IEEE Transactions on Power Systems 35, no. 1 (2020): 773–81. http://dx.doi.org/10.1109/tpwrs.2019.2930934.

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15

Carvallo, Juan Pablo, Nan Zhang, Benjamin D. Leibowicz, Thomas Carr, Maury Galbraith, and Peter H. Larsen. "Implications of a regional resource adequacy program for utility integrated resource planning." Electricity Journal 34, no. 5 (2021): 106960. http://dx.doi.org/10.1016/j.tej.2021.106960.

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16

Tyoso, Jaluanto Sunu Punjul, Mei Rani Amalia, and Dwi Urip Wardoyo. "The Effect of Business Environment and Resource Adequacy on SME Performance." West Science Journal Economic and Entrepreneurship 1, no. 02 (2023): 58–65. http://dx.doi.org/10.58812/wsjee.v1i02.264.

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The present quantitative analysis delves into the complex dynamics that effect the performance of Small and Medium Enterprises (SMEs) in Indonesia. Specifically, the study examines the influence of resource adequacy and the business climate. Regression analysis is used in this robust research design study to investigate the links between SME performance and financial resources, human resources, regulatory frameworks, market competition, technical advancements, and economic conditions and technological resources. The results show complex correlations, highlighting the importance of regulatory assistance, economic stability, competitive market responses, and thorough resource management for the success of small and medium-sized enterprises. The research offers concrete insights that will assist policymakers, business practitioners, and the academic community, adding to the continuing conversation on SME development in Indonesia.
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17

Mwirichia, Wilberforce N., Nelson Jagero, and Hillary Barchok. "Impact of Massification on Resource Adequacy in Public and Private Universities in Kenya." International Journal of Education 9, no. 3 (2017): 60. http://dx.doi.org/10.5296/ije.v9i3.11874.

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The purpose of the study was to determine the impact of resource adequacy in public and private universities in Kenya. Massification is the rapid enrolment of students in universities. Kenya has expanded her student enrolment in universities for her development needs. Research findings raise pertinent issues touching on the quality of education in the Kenyan universities. The study adopted a causal- comparative survey research design. The respondents were students and lecturers in the eight purposely selected universities in Kenya. A sample of 399 respondents consisting of 361 students, 22 lecturers and 16 heads of Department from four public and four private universities in Kenya were selected for the study through simple random sampling technique. The inferential statistics used in the study was chi-square. The hypothesis of the study was stated as “there is no statistical significant difference on the impact of massification on resource adequacy between public and private universities in Kenya. The study found that there is no significant statistical difference on the impact of massification on resource adequacy between public and private universities. From the study it was concluded that there was no statistical significance difference on the impact of massification on resource adequacy between public and private universities in Kenya. The study recommends that university management in public universities should provide adequate learning, welfare services, computing services and human resources to improve the quality of education and training in the universities in Kenya.
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18

Huang, Xueli, Geoffrey N. Soutar, and Alan Brown. "Resource adequacy in new product development: a discriminant analysis." European Journal of Innovation Management 4, no. 1 (2001): 53–59. http://dx.doi.org/10.1108/14601060110365574.

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19

Kim, Hyunsook, and Sung-Soo Kim. "The resource adequacy scheme in the Korean electricity market." Energy Policy 47 (August 2012): 133–44. http://dx.doi.org/10.1016/j.enpol.2012.04.035.

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20

Murphy, Sinnott, Luke Lavin, and Jay Apt. "Resource adequacy implications of temperature-dependent electric generator availability." Applied Energy 262 (March 2020): 114424. http://dx.doi.org/10.1016/j.apenergy.2019.114424.

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21

Jian Yang. "Resource adequacy: economic and engineering challenges and proposed solutions." IEEE Power and Energy Magazine 4, no. 2 (2006): 59–65. http://dx.doi.org/10.1109/mpae.2006.1597997.

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22

Borbáth, Tamás, and Dirk Van Hertem. "Appropriate transmission grid representation for European resource adequacy assessments." Applied Energy 355 (February 2024): 122378. http://dx.doi.org/10.1016/j.apenergy.2023.122378.

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23

Agboola, Bolapeju M., and Aniedi O. Bassey. "Accreditation exercise requirements adequacy and quality of resources in South-south federal universities, Nigeria." Integrity Journal of Education and Training 5, no. 2 (2021): 28–38. http://dx.doi.org/10.31248/ijet2020.079.

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The study determined accreditation exercises requirement adequacy and quality of resources in south-south federal universities, Nigeria. Four research questions and null hypotheses guided the study. Study design was ex-post facto with population of 6667 and sample size of 723 academic staff selected through multi-stage sampling technique in six universities. Data were generated with two validated instruments titled: "Accreditation Exercise Requirement Adequacy Questionnaire (AERAQ)" and "Resource Quality Status Checklist (RQSC)". Reliability coefficient of 0.93 was obtained for AERAQ using Cronbach alpha statistic. Research questions were answered with mean and the null hypotheses tested with independent t-test statistic at significant level of 0.05. The findings show significant difference between accreditation exercise requirement adequacy and quality status of academic staff, library facilities and funding. Recommendations made include; conduct of regular monitoring of programmes by National Universities Commission and provision of adequate funds, infrastructures, facilities and lecturers to ensure the resources meet the benchmark.
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24

Sukharev, A. N. "Financial resource base of central banks: Sources and adequacy support." Finance and Credit 23, no. 25 (2017): 1458–65. http://dx.doi.org/10.24891/fc.23.25.1458.

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25

Joseph, Kelli. "Coordinating markets for reliability: Resource adequacy as a public good." Electricity Journal 35, no. 3 (2022): 107097. http://dx.doi.org/10.1016/j.tej.2022.107097.

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26

Rochlin, Cliff. "Resource Adequacy Requirement, Reserve Margin, and the Public Goods Argument." Electricity Journal 17, no. 3 (2004): 52–59. http://dx.doi.org/10.1016/j.tej.2004.01.008.

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27

Rochlin, Cliff, and Jeff Huang. "Resource Adequacy Requirement: Reserve Margin, Contract Cover, and Price Caps." Electricity Journal 18, no. 7 (2005): 55–68. http://dx.doi.org/10.1016/j.tej.2005.07.008.

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28

Lueken, Roger, Jay Apt, and Fallaw Sowell. "Robust resource adequacy planning in the face of coal retirements." Energy Policy 88 (January 2016): 371–88. http://dx.doi.org/10.1016/j.enpol.2015.10.025.

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29

Kostaki, Christiana I., Pantelis A. Dratsas, Georgios N. Psarros, Evangelos S. Chatzistylianos, and Stavros A. Papathanassiou. "A Novel Method to Integrate Hydropower Plants into Resource Adequacy Assessment Studies." Energies 17, no. 17 (2024): 4237. http://dx.doi.org/10.3390/en17174237.

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This paper presents a novel methodology for modeling hydropower plants (HPPs) with and without pumping capability in resource adequacy assessment studies. The proposed method is based on the premise that HPPs should maximize their contribution to system adequacy within their technical constraints by using the energy reserves in their upper reservoirs without significantly deviating from their market schedule. The approach of this paper differs from the conventional operating policies for incorporating HPPs into resource adequacy assessment studies, which either adhere to a fixed market schedule or perform peak shaving, and are inelastic to real-time events or do not resort to realistic temporal correlations between natural water inflows on upper reservoirs and the water discharge needs to cover demand peaks, respectively. The modeling approach focuses on large-reservoir HPPs with natural inflows and is generic enough to deal with both stations incorporating pumping capabilities and those without. It utilizes the state-of-the-art Monte Carlo simulation technique to form the availability of system assets and determine the loss of load incidents. The market schedule and level of reservoir fulfillment for the HPPs are retrieved from a cost-optimal power system simulation algorithm executed offline before the application of the resource adequacy assessment. The effectiveness of the proposed methodology is demonstrated through its implementation in a case study of a power system experiencing different levels of adequacy, comparing the obtained results with various traditional HPP modeling methods from the literature.
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Selly, Selly Puspita Sari, Sunarmi, and Andi Mulyono. "IMPLEMENTASI CAPITAL ADEQUACY RATIO DAN HUMAN RESOURCE SLACK DALAM MENGOPTIMALKAN PENERAPAN SUSTAINABLE FINANCE." Jurnal Riset Mahasiswa Akuntansi 11, no. 1 (2023): 129–36. http://dx.doi.org/10.21067/jrma.v11i1.8344.

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 The research objective of this study was used to empirically examine data related to the effect of Capital Adequacy Ratio (CAR) and Human Resource Slack (HRC) on the implementation of sustainable finance implemented from 10 sub-sector sample companies in Islamic banks listed on the IDX for the period 2017- 2020. The analysis used to measure the variables to be examined uses multiple linear regression analysis to test and determine the causal relationship between the independent variables on the implementation of sustainable finance. The results of the research itself show conditions where the Capital Adequacy Ratio has no effect on the implementation of sustainable finance. In addition, a positive effect of Human Resource Slack was also found on the implementation of sustainable finance
 Keywords capital adequacy ratio; human resource slack; implementation of sustainable finance.
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31

Lissner, T. K., C. A. Sullivan, D. E. Reusser, and J. P. Kropp. "Determining regional limits and sectoral constraints for water use." Hydrology and Earth System Sciences 18, no. 10 (2014): 4039–52. http://dx.doi.org/10.5194/hess-18-4039-2014.

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Abstract. Water is an essential input to the majority of human activities. Often, access to sufficient water resources is limited by quality and infrastructure aspects, rather than by resource availability alone, and each activity has different requirements regarding the nature of these aspects. This paper develops an integrated approach to assess the adequacy of water resources for the three major water users: the domestic, agricultural and industrial sectors. Additionally, we include environmental water requirements. We first outline the main determinants of water adequacy for each sector. Subsequently, we present an integrated approach using fuzzy logic, which allows assessing sector-specific as well as overall water adequacy. We implement the approach in two case study settings to exemplify the main features of the approach. Using results from two climate models and two forcing RCPs (representative concentration pathways), as well as population projections, we further assess the impacts of climate change in combination with population growth on the adequacy of water resources. The results provide an important step forward in determining the most relevant factors, impeding adequate access to water, which remains an important challenge in many regions of the world. The methodology allows one to directly identify the factors that are most decisive in determining the adequacy of water in each region, pointing towards the most efficient intervention points to improve conditions. Our findings underline the fact that, in addition to water volumes, water quality is a limitation for all sectors and, especially for the environmental sector, high levels of pollution are a threat to water adequacy.
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32

Lissner, T. K., C. A. Sullivan, D. E. Reusser, and J. P. Kropp. "Determining regional limits and sectoral constraints for water use under climate change." Hydrology and Earth System Sciences Discussions 11, no. 5 (2014): 4695–727. http://dx.doi.org/10.5194/hessd-11-4695-2014.

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Abstract. Water is an essential input to the majority of human activities. Often, access to sufficient water resources is limited by quality and infrastructure aspects, rather than by resource availability alone, and each activity has different requirements regarding the nature of these aspects. This paper develops an integrated approach to assess the adequacy of water resources for the three major water users, the domestic, agricultural and industrial sectors. Additionally, we include environmental water requirements. We first outline the main determinants of water adequacy for each sector. Subsequently, we present an integrated approach using fuzzy logic, with allows assessing sector-specific as well as overall water adequacy. We implement the approach in two case study settings to exemplify the main features of the approach. Using results from two climate models and two forcing RCPs (Representative Concentration Pathways) as well as population projections, we further assess the impacts of climate change and population growth on the adequacy of water resources. The results provide an important step forward in determining the most relevant factors, impeding adequate access to water, which remains an important challenge in many regions of the world. The methodology allows to directly identify those factors most decisive in determining the adequacy of water in each region, pointing towards the most efficient intervention points to improve conditions. Our findings underline the fact that in addition to water volumes, water quality is a limitation for all sectors and especially for the environmental sector, high levels of pollution are a threat to water adequacy.
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33

Zachariah, Kosgei K. "Learning Resource Centers: Adequacy and Relevance of Resources in Public Primary Teacher Training Colleges in Kenya." IOSR Journal of Humanities and Social Science 21, no. 09 (2016): 61–65. http://dx.doi.org/10.9790/0837-2109026165.

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34

Hussain, Muhammad Sadam, Kangwook Cho, and Soo-jin Park. "Resource Adequacy and Integration of Renewables in Light of US, EU, and Pakistan’s Evolving Power Sector." Energies 17, no. 20 (2024): 5051. http://dx.doi.org/10.3390/en17205051.

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This study investigates resource adequacy and renewable energy integration in the United States, European Union, and Pakistan amid global energy market liberalization and greenhouse gas reduction efforts. It explores how these regions are adapting to the surge in renewable sources like wind and solar, which, despite their financial and environmental benefits, challenge resource adequacy and the economic viability of traditional energy sources. In the US and EU, significant improvements have been introduced in wholesale electricity markets and capacity accreditation mechanisms, which enhanced the large-scale deployment of renewables. This shift has prompted a reevaluation of resource adequacy, leading to the increased deployment of battery storage and demand response. Presently, gas-based generation is largely upholding resource adequacy; however, future trends indicate a move towards greater consumer participation, energy efficiency, and utility-scale storage, with a decline in fossil fuel use. Pakistan aims to adopt a liberalized market structure by balancing competitive markets with legacy contracts. Public pressure is driving a shift from costly fossil-based generation to renewables. Similarly, a trend in the rise of behind-the-meter solar generation can be witnessed. In the future, Pakistan may also experience resource adequacy challenges. It will likely need to implement battery storage, demand response, and modern capacity accreditation tools, by drawing lessons from developed markets.
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Bartkowski, Bartosz, Stephan Bartke, Nina Hagemann, Bernd Hansjürgens, and Christoph Schröter-Schlaack. "Application of the governance disruptions framework to German agricultural soil policy." SOIL 7, no. 2 (2021): 495–509. http://dx.doi.org/10.5194/soil-7-495-2021.

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Abstract. Governance of natural resources is inherently complex and requires navigating trade-offs at multiple dimensions. In this paper, we present and operationalize the “governance disruptions framework” (GDF) as a tool for holistic analysis of natural resource governance systems. For each of the four dimensions of the framework (target adequacy, object adequacy, instrument adequacy, and behavioural adequacy), we formulate guiding questions to be used when applying the framework to particular governance systems. We then demonstrate the use of GDF by applying it to the core of German agricultural soil policy. We show that for each framework dimension, the governance system exhibits deficits, particularly with respect to object adequacy and instrument adequacy. Furthermore, we use the GDF-based analysis to highlight research gaps. We find that stakeholder analyses are a central gap across GDF dimensions.
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36

Mutuku, Miombe, Josephat Kwasira, and Benard Lango. "Resource Allocation Influence on Performance of County Government Funded Water Projects in Kisii County, Kenya." Journal of Public Policy and Administration 9, no. 3 (2024): 49–65. https://doi.org/10.47604/jppa.3134.

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Purpose: The aim of the study was to examine how resource allocation influences performance of M&E practices on county government funded water projects in Kisii County. Methodology: The study will adopt a descriptive survey design. The study target population includes 201 county water staff managing 90 water projects across the county. The census method was used to research the 201 staff involved in water projects. The primary data was collected by use of questionnaires and Key Informant interviews. Quantitative data was analyzed by employing descriptive statistics and inferential analysis, and the results were presented by tables and figures. Whereas, qualitative data was done through narrative analysis and presented in form of verbatim and narrations. Findings: findings indicated that a mere 12.9% of the participants agreed that the county government allocated a specific budget for M&E activities, while 12.4% strongly agreed. However, a significant 38.2% disagreed with this allocation. Similarly, the budget's adequacy came under scrutiny, with only 3.5% deeming it sufficient, while 37.6% disagreed. Infrastructure provision for M&E activities raised uncertainty among 8.8% of respondents, and only 16.5% agreed on its adequacy. Furthermore, while the allocation of adequate human resources for M&E garnered strong agreement (31.8%), it was met with disagreement by 14.7% of participants. Unique Contribution to Theory, Practice and Policy: This study was anchored in the change theory. The county government of Kisii County can capitalize on this finding by prioritizing adequate resource allocation for M&E activities. This capitalizing may involve dedicating specific budgets, ensuring infrastructure provision, and allocating sufficient human resources. Policymakers and project managers should closely evaluate the resource allocation process, addressing concerns raised by participants in the study. Adequate resources lay the foundation for streamlined operations, data collection, and stakeholder engagement. By recognizing the strategic significance of resource allocation, the county government can significantly enhance the efficiency and effectiveness of water project implementation.
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37

Shrivastava, Sunaina, Gaurav Jain, Dhananjay Nayakankuppam, Gary J. Gaeth, and Irwin P. Levin. "Numerosity and allocation behavior: Insights using the dictator game." Judgment and Decision Making 12, no. 6 (2017): 527–36. http://dx.doi.org/10.1017/s1930297500006665.

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AbstractThis paper investigates how the numerosity bias influences individuals’ allocation of resources between themselves and others, using the backdrop of the traditional dictator game. Across four studies including both hypothetical and real exchanges of money, we show that the form of the numerical value representing the quantity of the resource (e.g., $20 vs 2000 cents) systematically biases the decision-maker to perceive the quantity s/he is thinking of allocating as being “less than adequate” or “more than adequate”. Essentially, such a biased perception of adequacy with respect to the quantity of the resource consequently influences the decision-maker’s final allocation decision. We attribute this systematic bias to the “numerosity” of the resource. We find that bigger numerical values representing quantity (e.g., 2000 cents) bias decision-makers to over-infer the quantity, thus inducing them to allocate less to the entities they are focusing on.
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38

Stenclik, Derek, Aaron Bloom, Wesley Cole, et al. "Quantifying Risk in an Uncertain Future: The Evolution of Resource Adequacy." IEEE Power and Energy Magazine 19, no. 6 (2021): 29–36. http://dx.doi.org/10.1109/mpe.2021.3104076.

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39

Zhu, Songzhe, Yi Zhang, and Ali A. Chowdhury. "Capacity Credit of Wind Generation Based on Minimum Resource Adequacy Procurement." IEEE Transactions on Industry Applications 48, no. 2 (2012): 730–35. http://dx.doi.org/10.1109/tia.2011.2180287.

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40

Masoumi, Amin, and Mert Korkali. "Adversarially robust power grid resource adequacy estimation with deep generative modeling." Electric Power Systems Research 241 (April 2025): 111374. https://doi.org/10.1016/j.epsr.2024.111374.

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41

Murphy, Sinnott, Jay Apt, John Moura, and Fallaw Sowell. "Resource adequacy risks to the bulk power system in North America." Applied Energy 212 (February 2018): 1360–76. http://dx.doi.org/10.1016/j.apenergy.2017.12.097.

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42

Dawami, Qosdan, Dzuljastri Abdul Razak, and Hamdino Hamdan. "Human Resources and Islamic Microfinance Sustainability: An Empirical Study of Baitul Maal wat Tamwil in Indonesia." Journal of Islamic Business and Management (JIBM) 11, no. 01 (2021): 90–104. http://dx.doi.org/10.26501/jibm/2021.1101-007.

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Purpose: The main purpose of this study is to determine empirically the relationship between human resource adequacy and the sustainability of BMT in Indonesia. Methodology: This study used a triangulation design as research method. The total number of 285 questionnaires were distributed manually to BMT staffs and analyzed using SPSS. In addition, this study also conducted semi-structured interviews with some managers of BMT. Findings: The study findings exhibited that the relationship between human resource adequacy the sustainability of BMTs was significance and positive relationship. Originality: This study revealed the impact of human resources on the sustainability of BMT, which to the authors’ knowledge has not been conducted empirically. Research Implications: This study recommends managers of BMT to strengthen human resources management through conducting some training programs in order to improve BMT sustainability
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43

BRUNETTO, YVONNE, MATTHEW J. XERRI, SILVIA NELSON, and BENJAMIN FARR-WHARTON. "THE ROLE OF INFORMAL AND FORMAL NETWORKS: HOW PROFESSIONALS CAN BE INNOVATIVE IN A CONSTRAINED FISCAL ENVIRONMENT." International Journal of Innovation Management 20, no. 03 (2016): 1650051. http://dx.doi.org/10.1142/s1363919616500511.

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One way of circumventing issues associated with constricted resources is to use organisational social resources embedded within both formal and informal social networks to provide increased support for proactive and innovative employee behaviour. Social exchange theorists argue that informal working relationships with non-line management provides an additional power source alongside traditional management relationships to foster proactive and innovative behaviour even when resources are scarce. About 272 Australian engineers, asset managers and technical employees were surveyed from public and private sector organisations, and data was examined using structural equation modelling. The findings depict that formal and informal leader–employee, organisational–employee relationships explained almost 53% of resource adequacy and resource adequacy explained 60.5% of the proactive engineering asset management organisational culture and 28.1% of innovative behaviour. This paper contributes insight into another hierarchical workplace relationship that employees can use to gain access to resources, and be proactive and innovative in the workplace.
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44

Jalili, Hassan, and Pierluigi Siano. "Modeling of unforced demand response programs." International Journal of Emerging Electric Power Systems 22, no. 2 (2021): 233–41. http://dx.doi.org/10.1515/ijeeps-2020-0208.

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Abstract Demand response programs are useful options in reducing electricity price, congestion relief, load shifting, peak clipping, valley filling and resource adequacy from the system operator’s viewpoint. For this purpose, many models of these programs have been developed. However, the availability of these resources has not been properly modeled in demand response models making them not practical for long-term studies such as in the resource adequacy problem where considering the providers’ responding uncertainties is necessary for long-term studies. In this paper, a model considering providers’ unavailability for unforced demand response programs has been developed. Temperature changes, equipment failures, simultaneous implementation of demand side management resources, popular TV programs and family visits are the main reasons that may affect the availability of the demand response providers to fulfill their commitments. The effectiveness of the proposed model has been demonstrated by numerical simulation.
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45

Tang, Ming, and Maria Luvimi l. Casihan. "Music Education Resource Materials in Relation to Quality of Teaching in Changsha County, China." International Journal of Education and Humanities 16, no. 2 (2024): 373–82. http://dx.doi.org/10.54097/ewjsra86.

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The study conducted in-depth research and statistics on the music education resources and teaching quality of Changsha County, the participants of the study Were junior students from the Music School of Changsha Normal College. To understand their current assessment of the music education resources and music teaching quality in Changsha County. The results show that: The survey of student respondents showed a nearly balanced gender distribution (53.2% male, 46.8% female) and primarily included students over 20 years old, indicating a mature student demographic. Respondents generally affirmed the professional level and teaching quality of music teachers but highlighted deficiencies in resource allocation and extracurricular community support. Sex and age differences in evaluating resource adequacy, teacher quality, and community support were not significant, indicating consistent perceptions across these demographics. High-quality resource materials in music classes were strongly correlated with positive teacher attributes, such as enthusiasm, interaction skills, and organizational ability, suggesting that well-resourced classrooms enhance teacher effectiveness and student engagement.
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46

Saar de Moraes, Rodrigo, and Simin Nadjm-Tehrani. "Abstraction models for verifying resource adequacy of IMA systems at concept level." Science of Computer Programming 208 (August 2021): 102654. http://dx.doi.org/10.1016/j.scico.2021.102654.

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Wolak, Frank A. "Long-Term Resource Adequacy in Wholesale Electricity Markets with Significant Intermittent Renewables." Environmental and Energy Policy and the Economy 3 (January 1, 2022): 155–220. http://dx.doi.org/10.1086/717221.

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48

Kaushik, Vandana, and Purva Jaggi. "Predicting Happiness in Urban Males and Females Through Perception of Resource Adequacy." Studies on Home and Community Science 5, no. 1 (2011): 39–44. http://dx.doi.org/10.1080/09737189.2011.11885327.

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Mozdawar, Seyed Alireza, Asghar Akbari Foroud, and Meysam Amirahmadi. "Resource adequacy in interdependent electricity markets undergoing heterogeneous expansion in renewable energy." IET Generation, Transmission & Distribution 13, no. 18 (2019): 4061–72. http://dx.doi.org/10.1049/iet-gtd.2018.5289.

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Wangdee, Wijarn, and Roy Billinton. "Probing the Intermittent Energy Resource Contributions From Generation Adequacy and Security Perspectives." IEEE Transactions on Power Systems 27, no. 4 (2012): 2306–13. http://dx.doi.org/10.1109/tpwrs.2012.2204281.

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