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Thematische Bibliographien / Prioritization factors / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Prioritization factors“

Autor: Grafiati

Veröffentlicht am 24. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Ul Hassan, Shams. "Factors affect on Requirement Prioritization." IOSR Journal of Engineering 02, no. 12 (2012): 28–33. http://dx.doi.org/10.9790/3021-021222833.

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Chong, Alan Kim Wing, Abdul Hakim Mohammed, Mat Naim Abdullah, and Mohd Shahril Abdul Rahman. "Maintenance prioritization – a review on factors and methods." Journal of Facilities Management 17, no. 1 (2019): 18–39. http://dx.doi.org/10.1108/jfm-11-2017-0058.

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PurposeMaintenance is a compulsory cost in any asset's operation and requires sufficient budget to be supported. However, insufficient maintenance allocation would lead to maintenance prioritization being practiced as a solution to relief the maintenance demands. The purpose of this paper is to review and discuss the related literature on the factors considered and methods practiced in maintenance prioritization, especially in asset managements.Design/methodology/approachA thorough literature search related to factors and methods used in maintenance prioritization was conducted through several

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Song, Bang-weon, Byeong-gyu Song, and Seok-joong Kang. "Influential Factors on Prioritization of Weapon Systems." Journal of the Korea Institute of Information and Communication Engineering 20, no. 8 (2016): 1607–14. http://dx.doi.org/10.6109/jkiice.2016.20.8.1607.

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Janevski, Blazho, Fimka Tozija, Gordana Ristovska, Vladimir Mikikj, and Vasilka Poposka-Treneska. "The prioritisation of zoonoses in the Republic of North Macedonia – Do we need one health approach." Archives of Public Health 13, no. 2 (2021): 39–48. http://dx.doi.org/10.3889/aph.2021.6011.

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Zoonoses have a different impact on public health, determined by geographical and socio-economic factors, which requires their prioritization for prevention and control purposes to be performed at the national level. Prioritization of zoonoses is a mechanism used in policy-making, primarily in allocating available resources. Aim of the paper is to compare two different methods used for prioritization of zoonoses by Institute of public health (IPH) and Food and Veterinary Agency (FVA). Material and methods: IPH used a method prepared by the U.S. Centers for Disease Control and Prevention (CDC),

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Dr. P Pon Meenakshi, Mrs. Mehta Vani Joghee. "Synthesis Methods - Product Feature Prioritization Frameworks in Startups using PRISMA." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (2023): 4593–601. http://dx.doi.org/10.52783/tjjpt.v44.i3.2585.

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    The focus of the research is to understand the prioritization framework utilization or adoption from the Startups, Factors influencing prioritization framework selection, decision making on selecting the prioritization and relevant case studies. Though there are various methods available for synthesizing qualitative research. The need for the synthesis was more towards arriving at an approach grouping the studies into various homogeneous groups or categories to identified evidence of the synthesis to represented for Startups , Digital Product Development, Includes f

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Zhou, Jianyi, Junjie Chen, and Dan Hao. "Parallel Test Prioritization." ACM Transactions on Software Engineering and Methodology 31, no. 1 (2022): 1–50. http://dx.doi.org/10.1145/3471906.

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Although regression testing is important to guarantee the software quality in software evolution, it suffers from the widely known cost problem. To address this problem, existing researchers made dedicated efforts on test prioritization, which optimizes the execution order of tests to detect faults earlier; while practitioners in industry leveraged more computing resources to save the time cost of regression testing. By combining these two orthogonal solutions, in this article, we define the problem of parallel test prioritization, which is to conduct test prioritization in the scenario of par

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Raju, S., and G. V. Uma. "An Efficient Method to Achieve Effective Test Case Prioritization in Regression Testing using Prioritization Factors." Asian Journal of Information Technology 11, no. 5 (2012): 169–80. http://dx.doi.org/10.3923/ajit.2012.169.180.

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Dimzon, Mario S., Nicole You, Fernando Gonzalez, Ali Poosti, and Adel H. Hagekhalil. "Developing Spill Risk Factors for Sewer Renewal Prioritization." Proceedings of the Water Environment Federation 2012, no. 13 (2012): 3014–21. http://dx.doi.org/10.2175/193864712811727102.

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Colvin, Kurt, Ken Funk, and Rolf Braune. "Task Prioritization Factors: Two Part-Task Simulator Studies." International Journal of Aviation Psychology 15, no. 4 (2005): 321–38. http://dx.doi.org/10.1207/s15327108ijap1504_2.

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Chung, Bryan, and Steven F. Morris. "Factors influencing prioritization for carpal tunnel syndrome consultation." Canadian Journal of Plastic Surgery 21, no. 1 (2013): 33–36. http://dx.doi.org/10.1177/229255031302100111.

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Pinho, Micaela, and Ana Pinto Borges. "A Scoring Index of Prioritization Factors Between Patients." Health Care Manager 38, no. 3 (2019): 267–75. http://dx.doi.org/10.1097/hcm.0000000000000274.

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Ahmadi, Ehsan, Parastoo Mohammadi, Farimah Mokhatab Rafei, and Shib Sankar Sana. "Behavioral factors and capital structure: identification and prioritization of influential factors." Data Science in Finance and Economics 5, no. 1 (2025): 76–104. https://doi.org/10.3934/dsfe.2025005.

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Wang, Kung-Ching, Chia-Lin Chang, Sung-Hsi Wei, and Chao-Chin Chang. "The study on setting priorities of zoonotic agents for medical preparedness and allocation of research resources." PLOS ONE 19, no. 4 (2024): e0299527. http://dx.doi.org/10.1371/journal.pone.0299527.

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The aim of this study is to develop a scoring platform to be used as a reference for both medical preparedness and research resource allocation in the prioritization of zoonoses. Using a case-control design, a comprehensive analysis of 46 zoonoses was conducted to identify factors influencing disease prioritization. This analysis provides a basis for constructing models and calculating prioritization scores for different diseases. The case group (n = 23) includes diseases that require immediate notification to health authorities within 24 hours of diagnosis. The control group (n = 23) includes

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Zhang, Qian, Zhenghui Zhao, and Guoqin Gao. "Fuzzy Comprehensive Evaluation for Grasping Prioritization of Stacked Fruit Clusters Based on Relative Hierarchy Factor Set." Agronomy 12, no. 3 (2022): 663. http://dx.doi.org/10.3390/agronomy12030663.

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To solve the problems of unclear boundaries and inconsistent influence weights among prioritization evaluation factors for grasping stacked fruit clusters by parallel robots, a fuzzy comprehensive evaluation method for the grasping prioritization of stacked fruit clusters based on a relative hierarchy factor set is proposed. According to the morphological features of stacked fruit clusters and motion features of parallel robots, a hierarchical tree model without a cross based on a subtree structure is constructed to analyze the multiple factors with unclear boundaries. A relative factor set wi

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Etumnu, Chinonso, and Allan W. Gray. "A Clustering Approach to Understanding Farmers’ Success Strategies." Journal of Agricultural and Applied Economics 52, no. 3 (2020): 335–51. http://dx.doi.org/10.1017/aae.2020.4.

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AbstractThis paper examines the prioritization of management factors by farmers that lead to the success of their farm business. The research also examines the heterogeneity of producer prioritization of different success strategies. Using a hierarchical clustering approach, we found that each farmer group prioritizes either managing costs, managing output prices, managing people, managing production, or managing assets. The results indicate that the farmer groups are heterogeneous in their prioritization of five strategic management factors. These results provide useful insights for farmers,

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Anthony Jnr., Bokolo. "Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling." Journal of Science and Technology Policy Management 10, no. 2 (2019): 404–30. http://dx.doi.org/10.1108/jstpm-06-2018-0060.

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PurposeThis study aims to develop a software risk prioritization model using analytic hierarchy process (AHP) and further validate the usability attributes of the model in prioritizing operational, technical, technological, strategic and environmental software risks.Design/methodology/approachQuestionnaire was used to collect data from software practitioners to evaluate the usability attributes of the AHP-software risk prioritization model. Accordingly, partial least square-structural equation modeling was used to analyze the collected data.FindingsResults reveal that the developed AHP-softwar

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van Alphen, Anouk M. I. A., Sandra Sülz, Hester F. Lingsma, and Robert J. Baatenburg de Jong. "Prioritization of surgical patients during the COVID-19 pandemic and beyond: A qualitative exploration of patients’ perspectives." PLOS ONE 18, no. 11 (2023): e0294026. http://dx.doi.org/10.1371/journal.pone.0294026.

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Introduction During the COVID-19 pandemic, prioritizing certain surgical patients became inevitable due to limited surgical capacity. This study aims to identify which factors patients value in priority setting, and to evaluate their perspective on a decision model for surgical prioritization. Methods We enacted a qualitative exploratory study and conducted semi-structured interviews with N = 15 patients. Vignettes were used as guidance. The interviews were transcribed and iteratively analyzed using thematic analysis. Results We unraveled three themes: 1) general attitude towards surgical prio

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Garton, Elise M., Shine Chang, Mishka Kohli Cira, and Kalina Duncan. "Factors Driving NCI-Designated Cancer Center Engagement in Global Oncology." JCO Global Oncology 10, Supplement_1 (2024): 81. http://dx.doi.org/10.1200/go-24-68000.

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PURPOSE In 2021 the U.S. National Cancer Institute (NCI) Center for Global Health conducted two surveys of the 71 NCI-Designated Cancer Centers. The directors’ survey asked cancer center directors about their prioritization and estimated budget for global oncology. The program survey asked global leads about their center’s global oncology programs and non-NCI funded global research projects. This analysis focuses on the associations between cancer centers reported global oncology prioritization, budget, formally structured programs, and research. METHODS The director survey was fielded online

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Mishra, Anjay Kumar. "Prioritization of Storage Hydropower Projects under Study in Nepal." Journal of Advanced Research in Geo Sciences & Remote Sensing 08, no. 01 (2021): 1–15. http://dx.doi.org/10.24321/2455.3190.202101.

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This research aims to find out the factors hindering the storage hydropower projects and prioritize the storage hydropower projects of Nepal. The study has covered six major storage hydropower projects that are under study. Uttar Ganga Storage Hydroelectric Project and Budigandaki Storage Hydroelectric Project are located in Gandaki Province. Dudhkoshi Storage Hydroelectric Project and Tamor Storage Hydroelectric Project lie in Province 1, while Nalsaugad Storage Hydroelectric Project lies in Karnali Province. These all projects are in the stage of feasibility study. The methodology of researc

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Lai, John, Nicole J. Olynk Widmar, Michael A. Gunderson, David A. Widmar, and David L. Ortega. "Prioritization of farm success factors by commercial farm managers." International Food and Agribusiness Management Review 21, no. 6 (2018): 817–32. http://dx.doi.org/10.22434/ifamr2017.0035.

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This study elicits U.S. agricultural producer preferences for five key management success factors: managing output prices; managing production; controlling costs; managing land/equipment/facilities; and managing people. The objective of this analysis was to determine the relative importance of each of the five profit-centric functional areas of management among U.S. farm managers. Significant heterogeneity in preferences was observed over the management areas. Farm managers, on average, placed the highest importance in controlling costs (29% preference share). Differences emerged among groups

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Mohammadkarim, Bahadori, Salesi Mahmood, Ravangard Ramin, et al. "Prioritization of Factors Affecting Time Management among Health Managers." International Journal of Travel Medicine and Global Health 3, no. 4 (2015): 169–74. http://dx.doi.org/10.20286/ijtmgh-0304142.

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Singh, Dinesh, and Aman Jatain. "An Interactive Approach to Requirements Prioritization Using Quality Factors." International Journal in Foundations of Computer Science & Technology 3, no. 6 (2013): 25–40. http://dx.doi.org/10.5121/ijfcst.2013.3603.

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Roongruang, Siripong, and Jirapun Daengdej. "A Test Case Prioritization Method with Practical Weight Factors." Journal of Software Engineering 4, no. 3 (2010): 193–214. http://dx.doi.org/10.3923/jse.2010.193.214.

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Muir, Andrew J., Linda L. Sanders, Michael A. Heneghan, Paul C. Kuo, William E. Wilkinson, and Dawn Provenzale. "An examination of factors predicting prioritization for liver transplantation." Liver Transplantation 8, no. 10 (2002): 957–61. http://dx.doi.org/10.1053/jlts.2002.35545.

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Srivastva, Praveen Ranjan, Krishan Kumar, and G. Raghurama. "Test case prioritization based on requirements and risk factors." ACM SIGSOFT Software Engineering Notes 33, no. 4 (2008): 1–5. http://dx.doi.org/10.1145/1384139.1384146.

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Laliberté, M., B. Mazer, T. Orozco, et al. "Factors influencing prioritization, frequency and duration of physiotherapy services." Physiotherapy 101 (May 2015): e811. http://dx.doi.org/10.1016/j.physio.2015.03.3697.

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Minouei, Amin, and Mohd Zaidi abd Rozan. "University entrepreneurship center identity factors prioritization using TOPSIS method." International Journal of Engineering & Technology 7, no. 3 (2018): 1325. http://dx.doi.org/10.14419/ijet.v7i3.12252.

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University Entrepreneurship Center Identity (UECI) is a set of meanings by which a UECI allows itself to be known, and through which it allows people to describe, remember and relate to it. There are many factors stated in many studies related to UECI, but their importance level is not mentioned. In this study, the UECI factors are ranked by using TOPSIS method. A quantitative study was conducted to obtain experts’ views on UECI factors. The UECI factors were prioritized and ranked by using the “Technique for order of Preference by Similarity to Ideal Solution” (TOPSIS) from Multi-Criteria Dec

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Zhang, Guoxi, and Robert G. Feyen. "A Conceptual Framework for Dynamic Prioritization in Multiple-Task Scenarios." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 12 (2005): 1172–75. http://dx.doi.org/10.1177/154193120504901216.

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Prioritizing tasks appropriately is particularly critical when performing multiple tasks concurrently. Although necessary to achieve one's goals or avoid serious consequences, prioritization has not received much attention in the research literature, especially with respect to modeling human performance computationally. A conceptual framework that integrates several motivational theories, empirical studies, and neuroscience research is proposed to guide future studies of dynamic prioritization in multiple-goal contexts. Rooted in control theory, the proposed framework illustrates self-regulati

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BROOKES, V. J., V. J. DEL RIO VILAS, and M. P. WARD. "Disease prioritization: what is the state of the art?" Epidemiology and Infection 143, no. 14 (2015): 2911–22. http://dx.doi.org/10.1017/s0950268815000801.

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SUMMARYDisease prioritization is motivated by the need to ensure that limited resources are targeted at the most important problems to achieve the greatest benefit in improving and maintaining human and animal health. Studies have prioritized a range of disease types, for example, zoonotic and foodborne diseases, using a range of criteria that describe potential disease impacts. This review describes the progression of disease prioritization methodology from ad hoc techniques to decision science methods (including multi-criteria decision analysis, conjoint analysis and probabilistic inversion)

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Beltman, Suzanne, Suzanne M. Vosslamber, Albert Molderink, and Matthijs L. Noordzij. "Toward the Design of an Energy Consumption Feedback System." Ergonomics in Design: The Quarterly of Human Factors Applications 24, no. 3 (2016): 9–16. http://dx.doi.org/10.1177/1064804615611283.

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In this article, we examine two novel issues in user requirements analysis for a feedback system on household energy consumption: (a) microgeneration and (b) the “Must, Should, Could, Won’t have” (MoSCoW) method. We report on a qualitative user requirements analysis using the MoSCoW method for the prioritization of user requirements. Fifteen interviews resulted in three user groups that were abstracted into personas with different user requirements. Finally, we show that changes in cutoff values resulted in MoSCoW prioritization changes for a maximum of only 5.9%. These are promising results f

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Sowmya, Ramesh Kumar. "Data Science Project Prioritization: Aligning with Business Priorities." Journal of Scientific and Engineering Research 8, no. 4 (2021): 215–17. https://doi.org/10.5281/zenodo.10902457.

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<strong>Abstract </strong>This paper provides an extensive exploration of data science prioritization methods, offering insights for practitioners and decision-makers seeking effective approaches tailored to their organizational needs. The methods examined cover diverse criteria such as business value, technical feasibility, customer satisfaction, and risk assessment. A critical evaluation of these methods underscores their strengths, limitations, and suitability in different contexts. The significance of data science prioritization in optimizing resource allocation and aligning with organizat

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Adebanjo, Dotun, Premaratne Samaranayake, Fereshteh Mafakheri, and Tritos Laosirihongthong. "Prioritization of Six-Sigma project selection." Benchmarking: An International Journal 23, no. 7 (2016): 1983–2003. http://dx.doi.org/10.1108/bij-09-2015-0086.

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Purpose With increasing choice from a range of programs, improvement project selection within broader supply chain context and resource constraints has become a major research challenge. The purpose of this paper is to investigate the different criteria for selecting Six-Sigma (SS) projects based on previous studies. The study is supported by two grounded theories: resource-based view and institutional norms. The criteria include: first, business drivers for improvement and the common performance metrics deployed; second, the organization’s stakeholders needs; and third, process owner’s needs.

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Hittle, Beverly M., Gordon L. Gillespie, Holly J. Jones, and Amit Bhattacharya. "Time lost: Factors influencing advanced practice provider’s prioritization of sleep." Work 68, no. 3 (2021): 653–65. http://dx.doi.org/10.3233/wor-203400.

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BACKGROUND: Prescribing patient care providers regularly experience insufficient sleep, putting them at increased risk of committing occupational injuries, accidents, and errors and developing chronic health conditions. OBJECTIVE: Identify antecedents to short sleep (≤6-hours sleep in 24-hour period) in the understudied population of hospital-based Advanced Practice Providers (APPs). METHODS: Using an ethnographic research design, data included APP and key stakeholder interviews, hospital observations, and relevant documents. Interview data were analyzed using modified constant comparative met

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Patel, Anand S., and Kaushik M. Patel. "Prioritization of Lean Six Sigma Success Factors using Pareto Analysis." IOP Conference Series: Materials Science and Engineering 1070, no. 1 (2021): 012133. http://dx.doi.org/10.1088/1757-899x/1070/1/012133.

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A.YMuhsen, Rami. "Human-Perception of Web Content Trust Factors Identification and Prioritization." International Journal of Computer Applications 75, no. 17 (2013): 16–21. http://dx.doi.org/10.5120/13202-0424.

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Tyagi, Manika, and Sona Malhotra. "An Approach for Test Case Prioritization Based on Three Factors." International Journal of Information Technology and Computer Science 7, no. 4 (2015): 79–86. http://dx.doi.org/10.5815/ijitcs.2015.04.09.

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Khalilzadeh, Mohammad, Shiba Masoumi, and Isa Masoumi. "Identification and prioritization of factors influencing organization risk tolerance level." Journal of Advances in Management Research 16, no. 4 (2019): 417–35. http://dx.doi.org/10.1108/jamr-07-2018-0061.

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Purpose Identifying and prioritizing the risks are considered as critical issues in risk management; otherwise, non-considering the risks will lead to the problems such as delays in project implementation, increased costs, loss of reputation, loss of clients, reduced revenue and liquidity and even bankruptcy. The paper aims to discuss these issues. Design/methodology/approach In this paper, the factors influencing the organization risk tolerance level were identified. Then, the factors increasing and decreasing the risk tolerance level were determined by a decision-making model. Finally, a com

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Topaz, Maxim, Mary D. Naylor, John H. Holmes, and Kathryn H. Bowles. "Factors Affecting Patient Prioritization Decisions at Admission to Home Healthcare." CIN: Computers, Informatics, Nursing 38, no. 2 (2020): 88–98. http://dx.doi.org/10.1097/cin.0000000000000576.

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GÜLER, Mehmet Emre. "Prioritization of Revenue Management Factors: A Synthetic Extent Analysis Approach." Ege Akademik Bakis (Ege Academic Review) 12, no. 2 (2012): 161. http://dx.doi.org/10.21121/eab.2012219531.

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Srikanth, Hema, Charitha Hettiarachchi, and Hyunsook Do. "Requirements based test prioritization using risk factors: An industrial study." Information and Software Technology 69 (January 2016): 71–83. http://dx.doi.org/10.1016/j.infsof.2015.09.002.

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Farrow, Luke, Nick D. Clement, Diane Smith, et al. "Prioritization of THose aWaiting hip and knee ArthroplastY(PATHWAY): protocol for development of a stakeholder led clinical prioritization tool." Bone & Joint Open 3, no. 10 (2022): 753–58. http://dx.doi.org/10.1302/2633-1462.310.bjo-2022-0071.

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Aims The extended wait that most patients are now experiencing for hip and knee arthroplasty has raised questions about whether reliance on waiting time as the primary driver for prioritization is ethical, and if other additional factors should be included in determining surgical priority. Our Prioritization of THose aWaiting hip and knee ArthroplastY (PATHWAY) project will explore which perioperative factors are important to consider when prioritizing those on the waiting list for hip and knee arthroplasty, and how these factors should be weighted. The final product will include a weighted be

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KRISHNAMOORTHI, R., and S. A. SAHAAYA ARUL MARY. "REQUIREMENT BASED SYSTEM TEST CASE PRIORITIZATION OF NEW AND REGRESSION TEST CASES." International Journal of Software Engineering and Knowledge Engineering 19, no. 03 (2009): 453–75. http://dx.doi.org/10.1142/s0218194009004222.

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Test case prioritization schedules the test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also detects the most severe faults at the earliest in its testing life cycle. Test case prioritization techniques have proved to be beneficial for improving regression testing activities. While code coverage based prioritization techniques are found to be studied by most scholars, test case prioritizat

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Castillo-Valdivieso, Pedro A., Esraa Alhenawi, Shatha Awawdeh, Ruba Abu Khurma, Maribel García-Arenas, and Amjad Hudaib. "Choosing a Suitable Requirement Prioritization Method: A Survey." Journal of Computer Science and Technology 24, no. 1 (2024): e04. http://dx.doi.org/10.24215/16666038.24.e04.

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Software requirements prioritization plays a crucial role in software development. It can be viewed as the process of ordering requirements by determining which requirements must be done first and which can be done later. Powerful requirements prioritization techniques are of paramount importance to finish the implementation on time and budget. Many factors affect requirement prioritization such as stakeholder expectations, complexity, dependency, scalability, risk and cost. Therefore, finding the proper order of requirements is a challenging process. Hence, different types of requirements pri

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Nelson, Marisa, and Laura Wilson. "Implicit Bias and Multilingual Assessment in School-Based Speech-Language Pathologists." Perspectives of the ASHA Special Interest Groups 6, no. 6 (2021): 1690–704. http://dx.doi.org/10.1044/2021_persp-21-00113.

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Purpose: The purpose of this research was (a) to examine school-based speech-language pathologists' (SLPs') implicit attitudes toward immigrants and how these relate to prioritization and use of best practices when assessing multilingual children and (b) to determine if key demographic factors relate to the use and prioritization of these best practices. Method: Eighty-six certified SLPs ranked how they prioritize and use best practices in multilingual assessments and completed an online immigrant Implicit Association Test. Results: The majority of participants exhibited a strong implicit bias

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Selvaraj, Prashanth, Bradley G. Wagner, Dennis L. Chao, et al. "Rural prioritization may increase the impact of COVID-19 vaccines in a representative COVAX AMC country setting due to ongoing internal migration: A modeling study." PLOS Global Public Health 2, no. 1 (2022): e0000053. http://dx.doi.org/10.1371/journal.pgph.0000053.

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How COVID-19 vaccine is distributed within low- and middle-income countries has received little attention outside of equity or logistical concerns but may ultimately affect campaign impact in terms of infections, severe cases, or deaths averted. In this study we examined whether subnational (urban-rural) prioritization may affect the cumulative two-year impact on disease transmission and burden of a vaccination campaign using an agent-based model of COVID-19 in a representative COVID-19 Vaccines Global Access (COVAX) Advanced Market Commitment (AMC) setting. We simulated a range of vaccination

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Fernandes, Ícaro Prado, and Martins Luiz Eduardo Galvão. "Test case prioritization based on human knowledge." JUCS - Journal of Universal Computer Science 31, no. (6) (2025): 552–71. https://doi.org/10.3897/jucs.127870.

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Building quality software, that is, suitable for use and meeting user needs, is one of the biggest challenges in the software industry. Although it is possible to guarantee the proper functioning of software through testing activities, such activities are exhaustive in nature, as it is impossible to test all inputs of a minimally complex program. This work proposes a method to prioritize test cases based on human knowledge using a combination of factors evaluated in an assessment answered by 29 software industry professionals and 5 academics. The assessment confirmed that the proposed factors

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Jermsittiparsert, Kittisak, and Waurasit Poothong. "Political Ideology and Prioritization of Qualities for Boyfriends-to-be Among Thai Female University Students." Global Journal of Health Science 9, no. 10 (2017): 127. http://dx.doi.org/10.5539/gjhs.v9n10p127.

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This research aims to (1) examine the political ideology and prioritization of qualities for men to be chosen as a boyfriend, (2) compare such prioritization among individuals by considering their personal factors, including class years, majors, hometowns, parents’ occupations, and household incomes, and (3) test the relationship between the political ideology and such prioritization. The research is conducted by collecting data from 400 female students of a private university in Pathumthani, Thailand who registered in the final semester of the 2016 academic year. The data are collected via qu

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Wu, Pauline, Zahra Goodarzi, and Jacqueline McMillan. "Creation of a Rehabilitation Prediction Rule: a Prioritization Procedure." Canadian Geriatrics Journal 28, no. 2 (2025): 161–68. https://doi.org/10.5770/cgj.28.826.

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Older adults may require longer recovery periods prior to being discharged from the hospital after an acute care stay. For some, returning to their previous living arrangement may no longer be safe or feasible after an acute care admission, and they may require alternate levels of care. It can be challenging to evaluate which patients may benefit most from inpatient rehabilitation versus those for whom alternate levels of care are more suitable. Using a prioritization procedure, this study identified and ranked predictive factors for successful inpatient rehabilitation (defined as discharge to

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Altaf Raja, Sohaib, Madihah Sheikh Abdul Aziz, and Asadullah Shah. "Modeling the Workflow of Bug Prioritization Tasks Descriptively Using the Past Events." International Journal on Perceptive and Cognitive Computing 9, no. 2 (2023): 14–24. http://dx.doi.org/10.31436/ijpcc.v9i2.398.

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Prioritizing bugs is one of the critical decision-related tasks in managing the maintenance phase whereas it is exposed as a key challenge in handling bug reports. On the other hand, the bug triager is a prominent role to observe influencing factors for handling the bug prioritization tasks effectively. Analysis of previous bug reports shows that it is essential to handle bug prioritization tasks with the appropriate workflow. However, it is revealed that there is a research gap in modeling the workflow of prioritization tasks. The paper aims to characterize the workflow model of prioritizatio

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Yadav, H. C., Rajeev Jain, Sandarbh Shukla, Shwetank Avikal, and P. K. Mishra. "Prioritization of aesthetic attributes of car profile." International Journal of Industrial Ergonomics 43, no. 4 (2013): 296–303. http://dx.doi.org/10.1016/j.ergon.2013.04.008.

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