Assessment Of Management Effectiveness Research Articles

Classroom Management Effectiveness Assessment Model of English Teaching Based on Gustafson-Kessel Clustering Based Takagi-Sugeno Fuzzy Model with Wild Geese Algorithm

The classroom's evaluation of the teaching effect English has a demanding workload, complex statistics, among other factors. The assessment of classroom instruction quality plays a crucial role in creating a supportive environment that encourages and guides the improvement of university administration and services, as well as in igniting teacher enthusiasm, boosting their efficacy as teachers, and raising the standard of talent development. Strong ambiguity, fuzziness, and inexactness are the main questions that come up while thinking about the case of teaching quality evaluation. The Gustafson - Kessel Clustering Based Takagi-Sugeno Fuzzy (GK-TSF) model along with wild geese algorithm (GKTSF-WGA) method is proposed for classify the skills, attitudes, and verbal, classifications to improve the above issues. Initially, the data’s are gathered via the dataset of teaching assistant evaluation dataset. Afterward, the data’s are fed to pre-processing. In pre-processing segment; it removes the noise and enhances the input data’s utilizing adaptive robust cubature kalman filtering. The feature extraction section receives the output of the preprocessing. Fluency is extracted as a feature using the One - dimensional quantum integer wavelet S-transform in this case. After that, the extracted features are given to the GK-TSF model with wild geese algorithm for effectively classify skills, attitudes, and verbal. The proposed ET-GKTSF-WGA approach is implemented in MATLAB. The proposed ET-GKTSF-WGA method attains 23.05%, 28.95%, and 26.56% higher accuracy for skills; 23.12%, 25.43%, and 27.45%, higher accuracy for attitudes; 25.86%, 27.73%, and 21.04%, higher accuracy for verbal. The computational time performance of the proposed method attains 70.85%, 45.7%, 60.12%, and 35.34%, lower computation. The proposed ET-GKTSF-WGA method is in contrast to the current techniques like ET-FCE, ET-q-ROFs, and ET-K-MC, respectively.

Inter and transdisciplinarity strategies for evaluating and improving water quality monitoring systems: Uruguay as a study case

Developing robust systems for monitoring and evaluating water quality is crucial for assessing ecosystem integrity and the impacts of human activities on nature. It also enables the assessment of water management effectiveness, governance systems, and the design and evaluation of public policies. However, designing such monitoring programs is complex due to multiple constraints like eco-hydrological knowledge, economic resources, human capital availability, and governance dynamics. This study combines quantitative and qualitative analyses (virtual watershed methodologies, empirical modeling, and theoretical frameworks of water governance) to evaluate the robustness of water quality monitoring systems and identify strengthening alternatives (including institutional design and public policy). The inter and transdisciplinary strategy is tested in the evaluation of eutrophication processes in Uruguay. Major spatial patterns of water quality at a national scale were identified, highlighting the influence of land use, soil types, point sources of pollution, and livestock on nitrogen and phosphorus concentrations. Current monitoring efforts and spatial coverage fall short of adequately addressing water management needs, especially in Uruguay's socio-economic context. Based on the weaknesses identified, an increase in the number of stations (and their spatial distribution) is proposed to have a better representation of biogeophysical and socio-economic conditions diversity. The challenge involves an important transformation (i.e. establishing a network system of public institutional nodes at national and regional levels) due to the country's centralism, fragmented water governance system, and scarce economic assets.

Establishment of the management effectiveness assessment system of world natural heritage and empirical analysis—a case study of Fanjingshan

Although there are more than 270,000 protected areas worldwide, there is currently little data on their protection and management effectiveness. As a kind of protected area, natural world heritage (WH) sites are small but represent some of the most important natural landscapes, covering a very large area. But natural WH is threatened by climate change, natural disasters and human activities. Therefore, to achieve the sustainable development of WH sites, it is very important to analyze the management status of WH sites. Based on this, the study extracts inspiration from Enhancing our Heritage Toolkit: Assessing management effectiveness of natural World Heritage sites. An assessment system of the management effectiveness (ME) of natural WH sites has been established, which has three dimensions (including management foundation, management measures, and management performances) and 21 indexes. The reliability and validity of the index system are tested using the exploratory factor analysis method, and the results show that the index system has good reliability and validity. Then principal component analysis and comprehensive assessment methods are used to analyze the ME of the Fanjingshan WH site. The results show that the management effectiveness of the Fanjingshan WH Site is relatively excellent, but it still faces challenges from tourism development and community participation.

Beyond Protected Areas: Assessing Management Effectiveness of a Ramsar Site in Nepal

Ramsar Sites, wetlands of international importance, are an international category of protected wetland areas recognized under the Ramsar Convention on Wetlands. Protected areas around the world are not achieving the conservation objectives for which they were established, often due to a lack in effective management practices. Hence, protected area management effectiveness and its assessments are crucial elements of achieving responsive and pro-active management. Ramsar Sites that are not recognized as a protected area under the national park and wildlife conservation act in Nepal are often ignored for such assessments and receive little attention in terms of conservation and management. This study aimed to fill this gap by assessing Jagadishpur Reservoir Ramsar Site, which falls into the above category. The Ramsar Management Effectiveness Tracking Tool was used to assess the management effectiveness. Transformed into the global standard reporting format, the overall management effectiveness was 0.27 on a 0 to 1 scale. This score is considered to be in an inadequate range, requiring significant conservation intervention from government with support from conservation partners. This first assessment of Ramsar Site outside of protected area in Nepal and its comparison to global and European regional-level assessments provides the benchmark for future evaluation to track progress in management effectiveness. In conclusion, Ramsar Sites outside formally protected areas are often neglected and intermittent projects, and ad hoc implementation of small-scale activities seems inadequate to improve management effectiveness.

Assessment of marine protected areas in the East China Sea using a management effectiveness tracking tool

Marine protected areas (MPAs) are important tools for maintaining biodiversity, mitigating climate change, and conserving and restoring natural ecosystems. Management effectiveness assessment is an important component of conservation management in protected areas. In this study, we constructed a management effectiveness assessment tool based on publicly available information for China, with a total score of 126. We used the tool to systematically assess 27 national MPAs in the East China Sea. Our results showed that marine nature reserves (MNRs) and marine special reserves (MSRs) could be classified into two and three classifications, respectively, including MNRs I (n = 4, scores = 88-100), MNRs II (n = 6, scores = 75-81), MSRs I (n = 8, scores = 75-90), MSRs II (n = 6, scores = 59-75) and MSRs III (n = 3, scores = 53-56). Factors influencing the management effectiveness of nature reserves were the length of establishment and general public budget revenue, while for special reserves they were the length of establishment and total agricultural output value. Furthermore, protected areas with high management effectiveness scores tend to have a longer establishment time, dedicated management departments, adequate management staff and financial investment compared to those with low scores. In addition, the low-score MPAs require more communication with stakeholders. The study provides an objective and comprehensive systematic scoring of MPAs’ management using METT-based framework and multi-source data. It overcomes the challenge of the general lack of data on MPAs and provides a new approach to management effectiveness assessment.

Linking workforce capacity development with protected area management effectiveness assessments

Linking workforce capacity development with protected area management effectiveness assessments

Linking soil health and ecological resilience to achieve agricultural sustainability

Healthy soil is critical for global food security and other essential ecosystem services but is threatened by processes of soil degradation, with at least 33% of global croplands estimated to be moderately or highly degraded. Current soil health assessments provide insight into soil functional performance but often lack diagnostic criteria that assess management effects on soil function over time. We propose integrating soil health assessments with ecological resilience theory, which includes attributes of latitude, resistance, and precariousness, to provide a conceptual framework for understanding management impacts on soil function and agricultural sustainability. Here we explore this conceptual framework using the Palouse River watershed of the US Pacific Northwest as a working example, as the soil degradation problems of erosion, organic matter loss, and acidification experienced in this region have worldwide relevance. We demonstrate how increasing agroecological management options, or adaptive capacity, can help reverse soil degradation and minimize the effects of climate change.

Current trends suggest most Asian countries are unlikely to meet future biodiversity targets on protected areas

Aichi Target 11 committed governments to protect ≥17% of their terrestrial environments by 2020, yet it was rarely achieved, raising questions about the post-2020 Global Biodiversity Framework goal to protect 30% by 2030. Asia is a challenging continent for such targets, combining high biodiversity with dense human populations. Here, we evaluated achievements in Asia against Aichi Target 11. We found that Asia was the most underperforming continent globally, with just 13.2% of terrestrial protected area (PA) coverage, averaging 14.1 ± SE 1.8% per country in 2020. 73.1% of terrestrial ecoregions had <17% representation and only 7% of PAs even had an assessment of management effectiveness. We found that a higher agricultural land in 2015 was associated with lower PA coverage today. Asian countries also showed a remarkably slow average annual pace of 0.4 ± SE 0.1% increase of PA extent. These combined lines of evidence suggest that the ambitious 2030 targets are unlikely to be achieved in Asia unless the PA coverage to increase 2.4-5.9 times faster. We provided three recommendations to support Asian countries to meet their post-2020 biodiversity targets: complete reporting and the wider adoption “other effective area-based conservation measures”; restoring disturbed landscapes; and bolstering transboundary PAs.

Tata Kelola dan Kinerja Perusahaan Keluarga di Indonesia

Company performance is an important indicator for companies in assessing management effectiveness. This study aims to determine the effect of institutional ownership, managerial ownership, family ownership, family involvement, gender diversity of the board of directors, and the educational level of the CEO on the performance of family companies listed on the IDX for the 2017-2021 period. The sampling method used was purposive sampling with a total of 130 companies or 650 data meeting the criteria. The results of the study concluded that family ownership, family involvement, and gender diversity of the board of directors had no relationship to ROE and Tobin's Q. Institutional ownership did not affect ROE but had a positive relationship to Tobin's Q. Managerial ownership had a significant negative relationship to ROE but did not affect Tobin's Q. The education level of the CEO has a positive effect on ROE and Tobin's Q.&#x0D; Keywords: Firm Performance; Corporate Governance; Ownership Structure, Family Firm

Use of the IMET tool in the evaluation of protected area management effectiveness in Central Africa

Protected areas play a paramount role in counteracting the negative effects of human activity on the environment. Without good management effectiveness they might not be able to fulfill their mission.The tools for management effectiveness assessments that are currently most widely used struggle to provide sufficient depth of analysis, present the situation with sufficient breadth of indicators, provide necessary objectivity in identifying challenges during the assessment, and suggesting possible paths for improvement.The Integrated Management Effectiveness Tool (IMET), a novel tool for management effectiveness, is introduced in the article. The purpose of the article is to show that IMET offers instruments for a more in-depth analysis when compared to other protected areas management effectiveness assessment methodologies. Furthermore, the article demonstrates how the introduction of instruments that aid in decision-making and encourage a results-oriented approach can be particularly beneficial in enhancing managerial effectiveness. Additionally, it is asserted that IMET enhances planning and monitoring by incorporating the necessary components into a system of Planning, Monitoring, and Evaluation.IMET has been tested in the field. Ten protected areas from Central Africa (CA) were selected and the tool demonstrated good properties in discriminating between well-performing protected areas and those with a room for improvement. The initial results have pointed to challenges in the management effectiveness dimensions of inputs and process that the studied protected areas are facing.In the long-run IMET is expected to support transition from merely routine management to results-oriented management of protected areas.

Challenges and methods for evaluating the effectiveness of knowledge management in organizations: KM professionals’ perceptions

ABSTRACT This study examines the challenges and methods of knowledge management (KM) effectiveness assessment in knowledge-intensive organisations. Specifically, the authors put the spotlight, for the first time, on KM professionals’ perceptions regarding the examination of KM success that relies on non-financial indicators. The research was conducted with the participation of 21 KM experts through in-depth interviews and focus groups. The results reveal that many organisations do not carry out systematic and consistent KM measurements. Recognising the ever changing dynamics of organisations, the reasons behind the neglect of this evaluation are presented in the paper. As the challenges of the field and the KM effectiveness evaluation are of the lesser developed aspects of the discipline, the present study gives rise to significant innovations. Furthermore, it adopts the call to understand the added value of KM from a wider perspective than that which focuses pure financial metrics.

Efficiency assessment of water resources management and use by simplified indicators

Purpose. Development of simplified indicators for assessment of the effectiveness of local water flow management and use in reservoirs and ponds. Methodology. The methods of integral assessment by specific indicators that characterize the operational parameters of the reservoir are used. Analytical formulas for calculating specific indicators are applied, their values are in the range from -1.0 to +1.0, which greatly simplifies the perception of the received information. Findings. General characteristic of the artificial water objects of the study is given. Coefficients of operational parameters of reservoirs and regulation of local surface flow have been determined. Specific and integral indicators of the management effectiveness assessment of local surface water resources have been established. A formula for calculating the comparative total risk indicator and a conventional distribution scale are proposed, according to them the effectiveness of local water resources management within administrative units or river basins is evaluated for the elements of the sample taken for the study. The ratio of parameters of the total area of the territory occupied by ponds (44%) to the area occupied by reservoirs (56%) was determined, according to which the ponds will retain only 25% of the total volume of water resources. For almost all studied elements of the sample, the value of the average depth is less than 2 meters, and the volume is up to 1 × 106 m3. Thereby, most reservoirs act as evaporation ponds, which leads to the deterioration of the water resources quality. The determined coefficients of local surface flow regulation for 9 out of 11 administrative regions of the Steppe Zone of Ukraine range from 0.22 to 1.36, which is a significant excess of the permissible norms of modular coefficients for 95% coverage within 0.050.25. For Kherson (2.14) and Odesa (6.45) regions, this parameter exceeds the requirements of the Water Code of Ukraine by many times (with a norm of 0.05 and 0.2, respectively). Originality. Specific integral indicators of local water flow regulation and characteristics of operational parameters of reservoirs on the territory of the administrative regions of the Steppe Zone of Ukraine are proposed and determined. A point assessment of the impact of artificial water bodies on the surrounding natural environment is provided, which substantiates and emphasizes the conclusions regarding the irrationality of water use and the further exploitation of such a significant number of artificial water bodies, in particular small ponds. Practical value. Specific indicators of the effectiveness of the management and use of local water flow held in the ponds and reservoirs of the Steppe Zone of Ukraine simplify the perception of the received information and shorten the time of making management and water protection decisions.

ЕФЕКТИВНІСТЬ УПРАВЛІННЯ ПРИРОДООХОРОННИМИ ТЕРИТОРІЯМИ І РОЛЬ ФУНКЦІОНАЛЬНОГО ЗОНУВАННЯ В МЕТОДИКАХ ЇЇ ОЦІНЮВАННЯ

The article aims to define the role of functional zoning in the effective management of protected areas and to analyze the main methods of assessing the protected area (PA) management effectiveness. The research was performed using general scientific research methods. Methods and factors that should be taken into account when developing functional zoning are highlighted. The significant potential for the use of functional zoning to improve PA’s management is pointed out, in particular, through methodological improvement, implementation of international experience, including IUCN recommendations, and ensuring the balance between zones. The analysis of the basic methods of protected areas management effectiveness is carried out. The role of spatial organization and functional zoning in achieving high-performance indicators of PAs management in protected areas management effectiveness assessments is indicated. For the first time, the peculiarities of the integration of the indicators of the criterion of functional zoning into the methodology of assessing the effectiveness of management of PAs and the need for its wider implementation in these methodologies are identified.

A holistic assessment of eWOM management effectiveness with agent-based modeling

PurposeHospitality businesses have been challenged to pick fitting electronic word-of-mouth (eWOM) management strategies, yet accurate return on investment assessments and contextual contingencies interpretation essential for leveraging eWOM power are largely absent. This study aims to fill these gaps and develop a tool aiming at more holistic and accurate eWOM management assessment.Design/methodology/approachAn agent-based model is developed based on eWOM-related hospitality/business theories and empirical evidence on the NetLogo 6.0.2 platform, wherein a series of simulated experiments are conducted.FindingsSimulation patterns suggest that conformity to the majority’s choice of eWOM usage can be beneficial for consumption satisfaction, yet conformity to a group’s eWOM posting choice can compromise satisfaction. Compared to the brief reputation-boosting benefit of exaggerated advertising, honesty in advertising is preferable given its compatibility with competing eWOM distribution and long-term reputation benefits.Practical implicationsA preliminary tool is developed for hospitality businesses that aids the clearer interpretation of and more accurate/cost-efficient assessment of effectiveness in managing eWOM distribution. Generic directions for improved eWOM management are also provided.Originality/valueA prototype model is established that surpasses existing models in its ability to capture the complexity of eWOM management and more accurately assess management effectiveness. The authors also reveal emerging novel patterns concerning the interactive dynamics of eWOM behaviors and contextual influences. The research also adds to the scarce agent-based model applications in hospitality research/practices and recommends future potential applications.

&lt;i&gt;Corrigendum to&lt;/i&gt;: A method for soil management assessment in an unreplicated commercial field

&lt;sec&gt; &lt;b&gt;Context&lt;/b&gt;: Unreplicated trials are common in agriculture. However, statistical inferences differ from those of traditional experiments based on small, replicated plots. &lt;/sec&gt; &lt;sec&gt; &lt;b&gt;Aims&lt;/b&gt;: To present a method to assess management effects on soil carbon (C) storage from unreplicated, side-by-side field trials. &lt;/sec&gt; &lt;sec&gt; &lt;b&gt;Methods&lt;/b&gt;: Two estimates of means with spatially correlated errors are compared using a corrected &lt;i&gt;t&lt;/i&gt;-statistic. Then causal inference is made by analysing a significant difference between the means (&lt;i&gt;P&lt;/i&gt;&lt;0.05) and its changes over time. The use of the method is described in comparing yield and organic C stocks between two large fields. Yield was measured during 1997&amp;#x2013;2005 with a commercial yield monitor, and soil organic C stocks during 2003&amp;#x2013;2005. The fields experienced the same tillage practice until autumn 2003 and then with different tillage intensity. &lt;/sec&gt; &lt;sec&gt; &lt;b&gt;Key results&lt;/b&gt;: The results show that crop C yield did not differ between the fields when using the same tillage practice but was greater in the tilled than the no-till field. The results also suggest that total and particulate organic matter-C contents depend on tillage history. For comparative purposes, the data were also analysed using standard mixed model analysis with a semivariogram model for spatial autocorrelation among the residuals. The mixed model results were generally similar to those of the corrected &lt;i&gt;t&lt;/i&gt;-statistic method. The mixed model was often, but not always, less conservative than the corrected &lt;i&gt;t&lt;/i&gt;-statistic model. &lt;/sec&gt; &lt;sec&gt; &lt;b&gt;Conclusions&lt;/b&gt;: The method allows analysis of whole-field data and improves our understanding of soil C processes in commercial fields, where agricultural assessment cannot involve replication due to agronomic and economic constraints. &lt;/sec&gt; &lt;sec&gt; &lt;b&gt;Implications&lt;/b&gt;: The method complements observational data analyses and can offer a direction towards whole-field management. &lt;/sec&gt;

ОЦЕНКА ЭФФЕКТИВНОСТИ УПРАВЛЕНИЯ БИЗНЕСОМ НА ОСНОВЕ РАЗВИТИЯ ТЕХНОЛОГИИ СБАЛАНСИРОВАННЫХ ПОКАЗАТЕЛЕЙ

The article provides a comparative analysis of methods for assessing effective business management. A modified approach based on a balanced scorecard is considered. The advantage of the considered approach is the use of an integral assessment of management effectiveness, which allows a comprehensive presentation of the effectiveness of management of all its processes, taking into account the priorities of strategic development.

Assessing protected area vulnerability to climate change in a case study of South African national parks.

Climate change is challenging the ability of protected areas (PAs) to meet their objectives. To improve PA planning, we developed a framework for assessing PA vulnerability to climate change based on consideration of potential climate change impacts on species and their habitats and resource use. Furthermore, the capacity of PAs to adapt to these climate threats was determined through assessment of PA management effectiveness, adjacent land use, and financial resilience. Users reach a PA-specific vulnerability score and rank based on scoring of these categories. We applied the framework to South Africa's 19 national parks. Because the 19 parks are managed as a national network, we explored how resources might be best allocated to address climate change. Each park's importance to the network's biodiversity conservation and revenue generation was estimated and used to weight overall vulnerability scores and ranks. Park vulnerability profiles showed distinct combinations of potential impacts of climate change and adaptive capacities; the former had a greater influence on vulnerability. Mapungubwe National Park emerged as the most vulnerable to climate change, despite its relatively high adaptive capacity, largely owing to large projected changes in species and resource use. Table Mountain National Park scored the lowest in overall vulnerability. Climate change vulnerability rankings differed markedly once importance weightings were applied; Kruger National Park was the most vulnerable under both importance scenarios. Climate change vulnerability assessment is fundamental to effective adaptation planning. Our PA assessment tool is the only tool that quantifies PA vulnerability to climate change in a comparative index. It may be used in data-rich and data-poor contexts to prioritize resource allocation across PA networks and can be applied from local to global scales.

Strategy for demand side management effectiveness assessment via a stochastic risk‐based bidding approach in a multi‐energy microgrid containing combined cooling, heat and power and photovoltaic units

This paper proposes an efficient risk-based infrastructure management approach for a multi-energy microgrid to assess the effectiveness of demand-side management (DSM) through a stochastic strategy. The studied microgrid consists of photovoltaic and combined cooling, heat and power as the energy generation units and load aggregator with the aim of DSM. Based on this structure, day-ahead operational scheduling is investigated for the microgrid in different scenarios in both summer and winter seasons. The risk consideration is also performed in the bidding procedure dealing with different scenarios and variable prices and probabilities. In this study, the conditional value at risk index is considered to assess the amount of risk and is also studied from two perspectives. In the first case, the level of risk acceptable to the investor, the load aggregator, is selected, and its impact on the day-ahead scheduling is examined. In the second case, the effect of different levels of risk-taking and their importance on the scheduling procedure are examined. The main purpose is to show the shortcomings of the traditional DSM method when load management is done for private companies with a certain level of risk and prepare the ground for future studies to solve them.

Do Buffer Zone Programs Improve Local Livelihoods and Support Biodiversity Conservation? The Case of Sagarmatha National Park, Nepal

Background and Research Aims: Buffer zone programs aim to reduce park-people conflicts by improving local livelihoods through integrated conservation and development activities. A case study was conducted at Sagarmatha National Park, Nepal from 2002–2016 to examine some buffer zone initiatives. Methods: Focus group discussions ( n = 7), key informant interviews ( n = 14), and field observations were performed in accordance with the IUCN Framework for Assessing Management Effectiveness of Protected Areas 2006 and WWF´s Rapid Assessment and Prioritization of Protected Area Management 2006. Results: A total of 99 buffer zone activities were identified, including a variety of construction activities such as hydroelectric projects, trails, schools, and monasteries. Park funds were allocated mainly for community development and social welfare (42%), and less on conservation and conflict management (22%). For example, traditional “ Nawa” animal rearing practices, feral dog control, and mitigation of wildlife damages to crops and livestock were overlooked. Conclusion: Support gained from the buffer zone program to address livelihoods of needy households who suffer from wildlife damages was lacking, despite legal provisions for compensation (e.g. crop damages caused by jharal). This should not occur at the expense of wildlife conservation and if it does, it will diminish the original intent of buffer zones. Implications for Conservation: Although most of the local communities were positive about buffer zone programs and activities, there was a dire need to incorporate “ Nawa” practices, wildlife damage compensation schemes, and feral dog controls. This study suggests to update policies that focus on conflict management.

A method for soil management assessment in an unreplicated commercial field

Context Unreplicated trials are common in agriculture. However, statistical inferences differ from those of traditional experiments based on small, replicated plots. Aims To present a method to assess management effects on soil carbon (C) storage from unreplicated, side-by-side field trials. Methods Two estimates of means with spatially correlated errors are compared using a corrected t-statistic. Then causal inference is made by analysing a significant difference between the means (P &lt; 0.05) and its changes over time. The use of the method is described in comparing yield and organic C stocks between two large fields. Yield was measured during 1997–2005 with a commercial yield monitor, and soil organic C stocks during 2003–2005. The fields experienced the same tillage practice until autumn 2003 and then with different tillage intensity. Key results The results show that crop C yield did not differ between the fields when using the same tillage practice but was greater in the tilled than the no-till field. The results also suggest that total and particulate organic matter-C contents depend on tillage history. For comparative purposes, the data were also analysed using standard mixed model analysis with a semivariogram model for spatial autocorrelation among the residuals. The mixed model results were generally similar to those of the corrected t-statistic method. The mixed model was often, but not always, less conservative than the corrected t-statistic model. Conclusions The method allows analysis of whole-field data and improves our understanding of soil C processes in commercial fields, where agricultural assessment cannot involve replication due to agronomic and economic constraints. Implications The method complements observational data analyses and can offer a direction towards whole-field management.