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Tian T, Deng D. Performance Evaluation of Hospital Economic Management with the Clustering Algorithm Oriented towards Electronic Health Management. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:3603353. [PMID: 35432826 PMCID: PMC9007649 DOI: 10.1155/2022/3603353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/11/2022] [Accepted: 01/15/2022] [Indexed: 11/17/2022]
Abstract
In order to study the clustering algorithm based on density grid, the performance evaluation index system of hospital economic management under the application of electronic health management system is constructed. Firstly, this work designs the basic architecture of electronic health management system, classifies and screens the process of index system of electronic health management system, compares the clustering algorithm based on density grid with the simple clustering algorithm based on density or grid, and then applies it to the performance evaluation index system of hospital economic management. According to the principle of Mitchell scoring method, the expert questionnaire of hospital economic management performance evaluation index system was designed, and Delphi method was used to evaluate the candidate indexes from the three dimensions of right, legitimacy, and urgency. The results show that, compared with simple network clustering algorithm and density clustering algorithm, the clustering algorithm based on density network produces higher purity (94% VS 73% VS 67%) and lower entropy (0.9 VS 1.4 VS 1.54), which effectively saves memory consumption, and the difference is statistically significant (P < 0.05). The core indicators with scores above 4.5 in both dimensions include budget revenue implementation rate, budget expenditure implementation rate, implementation rate of special financial appropriation, asset-liability ratio, hospitalization income cost rate, medical insurance settlement rate, average cost of discharged patients, and drug proportion. The coefficient of variation of the first grade index is between 0.05 and 0.14 and that of the second grade index is between 0.05 and 0.15. Clustering algorithm based on density network has higher purity and lower entropy, which can effectively save memory consumption. The performance evaluation index system of hospital economic management finally determines 6 first-level indexes: budget management, financial fund management, cost management, medical expense management, medical efficiency, medical quality, and 25 second-level indexes.
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Affiliation(s)
- Tian Tian
- Youth League Committee, The First Affiliated Hospital, University of South China, Hengyang 421001, Hunan, China
| | - Dixin Deng
- Finance Department, The First Affiliated Hospital of University of South China, Hengyang 421001, Hunan, China
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Ben Lahouel B, Taleb L, Ben Zaied Y, Managi S. Business case complexity and environmental sustainability: Nonlinearity and optimality from an efficiency perspective. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 301:113870. [PMID: 34638044 DOI: 10.1016/j.jenvman.2021.113870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 08/28/2021] [Accepted: 09/26/2021] [Indexed: 06/13/2023]
Abstract
The question of whether it is possible to "do well by going green" has been debated at length in the literature on environmental sustainability, but no consensus has been reached to date. Building on stakeholder theory in that a firm's environmental sustainability can improve its competitive advantage, this study investigates the impacts of sustainable environmental practices on the competitiveness of 28 international airlines over 2010-2018. First, we use dynamic network data envelopment analysis to estimate airline operational efficiency as a measure of competitiveness. Second, we use a panel smooth transition regression (PSTR) model to test for nonlinearities and regime-switching behaviors between variables. Then, to account for endogeneity bias, we develop and estimate an instrumental variable PSTR (IV-PSTR) model. The empirical results indicate that the relationship between environmental sustainability and competitiveness has an inverted U shape, meaning there is an optimal level of environmental sustainability beyond which competitiveness decreases. Therefore, it is important for airline managers to understand that very high levels of investment in sustainable practices can have more negative effects compared to very little investment. The study concludes by providing implications for theory and practice.
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Affiliation(s)
| | - Lotfi Taleb
- École Supérieure des Sciences économiques et Commerciales de Tunis, University of Tunis, Tunisia.
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Yousaf Z. Go for green: green innovation through green dynamic capabilities: accessing the mediating role of green practices and green value co-creation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:54863-54875. [PMID: 34018115 DOI: 10.1007/s11356-021-14343-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 05/05/2021] [Indexed: 05/22/2023]
Abstract
Increasing business organizations are also damaging the natural infrastructure, and researchers are pressing hard on this issue since several decades. Moreover, the studies relating to business organizations only focus on the establishment, development, and success of businesses and paid less attention to the dark trade business expansions, i.e., lack of green innovation and increase in pollution and environment damages. Keeping in view these issues, this study is aimed at investigating the effect of green dynamic capabilities, green practices, and green value co-creation on green innovation in SMEs (small and medium enterprises). This study also tested the mediating role of value co-creation in the links between green practices-green innovation and green dynamic capability-green innovation. Structural equation modeling (SEM) was used, and the mediation analysis was conducted through Preacher and Hayes Approach (2004, 2008) and through Soble test. Empirical results proved that green dynamic capabilities, green practices, and green value co-creation improve the mechanism of green innovation in SMEs.
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Affiliation(s)
- Zahid Yousaf
- Government College of Management Sciences, Mansehra, Pakistan.
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Qualitative Stakeholder Analysis for a Swedish Regional Biogas Development: A Thematic Network Approach. SUSTAINABILITY 2021. [DOI: 10.3390/su13148003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The creation of pathways toward a societal transition to clean energy requires the engagement of multiple stakeholders with different and sometimes conflicting interests. In this connection, stakeholder analysis (SA) offers a technique for identifying, assessing and structuring different needs, interests and concerns related to different stakeholders within the context of sustainability. This article aims to present the findings from a qualitative stakeholder analysis (QSA) by using a thematic network approach (TNA), with the help of the ATLAS.ti software. It focuses on Project X, which was aimed at engaging multiple stakeholders and creating favorable conditions for small and medium-sized companies in a region situated in the central part of Sweden, with the potential to start biogas production. In this work, the findings and discussions of the QSA using TNA are structured by using the political, economic, social, technological, environmental and legal (PESTEL) themes of the model. The present study concludes that for the small-scale biogas industry to successfully develop an understanding of the possibilities of the biogas value chain, it is necessary to have analyzed the nature of the main themes by which various stakeholders relate to biogas production and envision their contribution to creating a sustainable society. Herein, we demonstrate that QSA by a TNA, combined with the application of a PESTEL model, are valuable analytical tools in sustainable project management. The lessons from Project X can be applied to other local biogas initiatives, as many identified threats and opportunities are shared by others.
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Köpsel V, de Moura Kiipper G, Peck MA. Stakeholder engagement vs. social distancing-how does the Covid-19 pandemic affect participatory research in EU marine science projects? MARITIME STUDIES : MAST 2021; 20:189-205. [PMID: 35300281 PMCID: PMC8120259 DOI: 10.1007/s40152-021-00223-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 04/21/2021] [Indexed: 06/14/2023]
Abstract
In the realm of marine science, engaging with stakeholders (e.g., industry members, policy-makers, managers, NGOs) is an important method applied in many research projects. The Covid-19 pandemic has severely impacted this engagement in two ways. First, social distancing measures forbid most face-to-face participatory activities originally envisioned in projects. Second, the restrictions have caused hardships for the stakeholders being engaged by these projects. We assessed the impact of Covid-19 on stakeholder engagement activities in ongoing EU marine science projects by posing the following questions: What problems has Covid-19 caused for the workflow and outcomes of current research projects, (ii) how have scientists responsible for stakeholder engagement coped with the situation, and (iii) if alternative stakeholder activities were implemented, how have these been evaluated? Our survey was conducted nearly 2 months after the onset of Covid-19 lockdowns. It addressed researchers who engage with stakeholders in EU projects and delivers insights into the practical implications of Covid-19 for stakeholder engagement and the measures taken to tackle this challenge. The paper highlights the impacts of the pandemic on stakeholder engagement in marine science, outlines current coping strategies in different EU projects, and recommends seven practical actions to promote and maintain meaningful exchange with stakeholders in times of social distancing and lockdowns.
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Affiliation(s)
- Vera Köpsel
- Institute for Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Große Elbstraße 133, 22767 Hamburg, Germany
| | - Gabriel de Moura Kiipper
- Institute for Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Große Elbstraße 133, 22767 Hamburg, Germany
| | - Myron A. Peck
- Institute for Marine Ecosystem and Fishery Science (IMF), University of Hamburg, Große Elbstraße 133, 22767 Hamburg, Germany
- Department of Coastal Systems (COS), Royal Netherlands Institute for Sea Research (NIOZ), PO Box 59, NL-1790 Den Burg (Texel), AB Netherlands
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Mugo C, Njuguna I, Nduati M, Omondi V, Otieno V, Nyapara F, Mabele E, Moraa H, Sherr K, Inwani I, Maleche-Obimbo E, Wamalwa D, John-Stewart G, Slyker J, Wagner AD. From research to international scale-up: stakeholder engagement essential in successful design, evaluation and implementation of paediatric HIV testing intervention. Health Policy Plan 2020; 35:1180-1187. [PMID: 32944754 PMCID: PMC7810404 DOI: 10.1093/heapol/czaa089] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2020] [Indexed: 11/13/2022] Open
Abstract
Stakeholder engagement between researchers, policymakers and practitioners is critical for the successful translation of research into policy and practice. The Counseling and Testing for Children at Home (CATCH) study evaluated a paediatric index case testing model, targeting the children of HIV-infected adults in care in Kenya. Researchers collaborated with stakeholders in the planning, execution and evaluation, and dissemination phases of CATCH. They included a community advisory board, the national HIV programme, County health departments, institutional ethics review bodies, a paediatric bioethics group, facility heads and frontline healthcare workers . Stakeholder analysis considered the power and interest of each stakeholder in the study. All stakeholders had some power to influence the success of the project in the different phases. However, support from institutions with higher hierarchical power increased acceptance of the study by stakeholders lower in the hierarchy. During the planning, execution and evaluation, and dissemination phases, the study benefitted from deliberate stakeholder engagement. Through engagement, changes were made in the approach to recruitment to ensure high external validity, placing recruitment optimally within existing clinic flow patterns. Choices in staffing home visits were made to include the appropriate cadre of staff. Adaptations were made to the consenting process that balanced the child's evolving autonomy and risks of HIV disclosure. Dissemination involved delivering site-specific results in each HIV clinic, local and international conferences and sharing of study tools, resulting in the study approach being scaled up nationally. The deliberate engagement of stakeholders early in intervention development optimized study validity and accelerated adoption of the CATCH approach in nationwide HIV testing campaigns by the Ministry of Health and inclusion of paediatric index-case testing in national HIV testing guidelines. Involving policymakers and frontline healthcare workers throughout the study cycle builds capacity in the implementing team for quick adoption and scale-up of the evidence-based practice.
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Affiliation(s)
- Cyrus Mugo
- Department of Research and Programs, Kenyatta National Hospital, PO Box 20723, 00102, Hospital road, Upperhill, Nairobi, Kenya
| | - Irene Njuguna
- Department of Research and Programs, Kenyatta National Hospital, PO Box 20723, 00102, Hospital road, Upperhill, Nairobi, Kenya
| | - Margaret Nduati
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Vincent Omondi
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Verlinda Otieno
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Florence Nyapara
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Elizabeth Mabele
- Department of Pediatrics, Kenyatta National Hospital, PO Box 20723, 00102, Hospital road, Upperhill, Nairobi, Kenya
| | - Hellen Moraa
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Kenneth Sherr
- Department of Global Health, University of Washington, PO Box 357965, 1510 San Juan road NE, Seattle, Washington, 98195-7965, USA
| | - Irene Inwani
- Department of Pediatrics, Kenyatta National Hospital, PO Box 20723, 00102, Hospital road, Upperhill, Nairobi, Kenya
| | - Elizabeth Maleche-Obimbo
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Dalton Wamalwa
- Department of Pediatrics and Child Health, University of Nairobi, PO Box 19676, 00202, Ngong road, Upperhill, Nairobi, Kenya
| | - Grace John-Stewart
- Department of Global Health, University of Washington, PO Box 357965, 1510 San Juan road NE, Seattle, Washington, 98195-7965, USA
- Department of Epidemiology, University of Washington, PO Box 357236, 610 Walnut Street NE, Seattle, Washington, 98195, USA
- Department of Pediatrics, University of Washington, PO Box 356420, 6200 NE 74th St, Seattle, Washington, 98115-8160, USA
- Department of Medicine, University of Washington, PO Box 356420, 1959 NE Pacific St, Seattle, Washington, 98195-6420, USA
| | - Jennifer Slyker
- Department of Global Health, University of Washington, PO Box 357965, 1510 San Juan road NE, Seattle, Washington, 98195-7965, USA
- Department of Epidemiology, University of Washington, PO Box 357236, 610 Walnut Street NE, Seattle, Washington, 98195, USA
| | - Anjuli D Wagner
- Department of Global Health, University of Washington, PO Box 357965, 1510 San Juan road NE, Seattle, Washington, 98195-7965, USA
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