Key Performance Indicators bei der Bewertung smarter Mobilität
In: Innovative Verwaltung: die Fachzeitschrift für erfolgreiches Verwaltungsmanagement, Band 45, Heft 9, S. 44-45
ISSN: 2192-9068
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In: Innovative Verwaltung: die Fachzeitschrift für erfolgreiches Verwaltungsmanagement, Band 45, Heft 9, S. 44-45
ISSN: 2192-9068
In: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, Heft 503, S. 236-245
ISSN: 2392-0041
In: Periodica polytechnica. Social and management sciences, Band 23, Heft 1, S. 60-67
ISSN: 1587-3803
In: International journal of academic research in business and social sciences: IJ-ARBSS, Band 5, Heft 6
ISSN: 2222-6990
In: Moscow University Economics Bulletin, Band 2020, Heft 4, S. 224-242
Lack of transparency predetermines the shortage of private investment in small business. Financial statement presents the only source of information which reflects the performance of a company but does not provide the investor with sufficient data for proper decision making. Therefore, it is mandatory to develop a set of key performance indicators that will assess the viability of a company and reduce investment risks. Specific nature of small business determines the need to use a minimum number of parameters. To develop the system, the author examines two groups of enterprises: with a bankruptcy claim and without it. The data set consists of financial statement indicators and economic indicators. The use of random forest methods and gradient boosting confirmed the existence of differentiating parameters between successful and unsuccessful businesses: short-term accounts payable, profitability ratio, revenue trend, equity to total assets, receivables index, gain and loss on sale. The established system offers high accuracy for company's success/bankruptcy forecast. Applying the findings will ensure greater transparency and investment attractiveness of small businesses.
The Northern Territory Aboriginal Health Key Performance Indicator Information System (NT AHKPI) provides information on and collaboration between both government and non-government health services for reporting key performance indicator (KPI) data on Aboriginal health NT wide. ; Y
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Purpose Recent advancements in electrified transportation have been necessitated by the need to reduce environmentally harmful emissions. Accordingly, several aviation organisations and governments have introduced stringent emission reduction targets for 2050. One of the most promising technologies proposed for achieving these targets is turboelectric distributed propulsion (TeDP). The objective of this study was to explore and identify key indicators for enhancing the applicability of TeDP in air transportation. Design/methodology/approach An enhancement valuation method was proposed to overcome the challenges associated with TeDP in terms of technological, economic and environmental impacts. The result indicators (RIs) were determined; the associated performance indicators (PIs) were analysed and the key RIs and PIs for TeDP were identified. Quantitative measurements were acquired from a simulated TeDP case study model to estimate the established key PIs. Findings It was determined that real-world TeDP efficiency could be enhanced by up to 8% by optimising the identified key PIs. Originality/value This study is the first to identify the key PIs of TeDP and to include a techno-economic environmental risk analysis (TERA) based on the identified key PIs. The findings could guide developers and researchers towards potential focus areas to realise the adoption of TeDP.
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In: Nonprofit communications report: monthly communications ideas for nonprofits, Band 20, Heft 4, S. 8-8
ISSN: 2325-8616
In: ENGTEC-D-23-00250
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The Internet and intranets are viewed as capable of supplying "Anything, Anywhere, Anytime" and e-commerce, e-government, e-community, and military C4I are now deploying many and varied applications to serve their needs. Network management is currently centralized in operations centers. To assure customer satisfaction with the network performance they typically plan, configure and monitor the network devices to insure an excess of bandwidth, that is overprovision. If this proves uneconomical or if complex and poorly understood interactions of equipment, protocols and application traffic degrade performance creating customer dissatisfaction, another more application-centric, way of managing the network will be needed. This research investigates a new qualitative class of network performance measures derived from the current quantitative metrics known as quality of service (QOS) parameters. The proposed class of qualitative indicators focuses on utilizing current network performance measures (QOS values) to derive abstract quality of experience (QOE) indicators by application class. These measures may provide a more user or application-centric means of assessing network performance even when some individual QOS parameters approach or exceed specified levels. The mathematics of functional analysis suggests treating QOS performance values as a vector, and, by mapping the degradation of the application performance to a characteristic lp-norm curve, a qualitative QOE value (good/poor) can be calculated for each application class. A similar procedure could calculate a QOE node value (satisfactory/unsatisfactory) to represent the service level of the switch or router for the current mix of application traffic. To demonstrate the utility of this approach a discrete event simulation (DES) test-bed, in the OPNET telecommunications simulation environment, was created modeling the topology and traffic of three semi-autonomous networks connected by a backbone. Scenarios, designed to degrade performance by under-provisioning links or nodes, are run to evaluate QOE for an access network. The application classes and traffic load are held constant. Future research would include refinement of the mathematics, many additional simulations and scenarios varying other independent variables. Finally collaboration with researchers in areas as diverse as human computer interaction (HCI), software engineering, teletraffic engineering, and network management will enhance the concepts modeled. ; 2007-08-01 ; Ph.D. ; Engineering and Computer Science, Other ; Doctorate ; This record was generated from author submitted information.
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In: International journal of innovation in management, economics and social sciences: IJIMES, Band 3, Heft 2, S. 42-51
ISSN: 2783-2678
Key performance indicators are actually measurable variables based on which we can measure the success rate of an organization in reaching defined key goals. In order to create key performance indicators, steps, and standards must be passed, each of which is of great importance. Based on how the key performance indicator (KPI) is defined and determined, it is possible to measure the performance of a person, department, process, campaign, or strategic goals of a brand. In fact, KPIs can be considered for different industries and for different levels of each business. Considering the importance of football clubs and their high social impact, the purpose of this research is to investigate these key performance indicators in order to grow and improve their comprehensive performance. In order to extract data, a literature review was used. Data refinement and prioritization were done using the fuzzy decision-making method, and the opinions of active experts in clubs and football players were used. The results show that indicators based on infrastructure development are among the most important indicators and should be given special attention.
In: Journal of public affairs, Band 17, Heft 4
ISSN: 1479-1854
AbstractThis paper develops a set of key performance indicators (KPIs) for Seoul city administration, inaugurated in 2006. Proper establishment and application of the KPIs into its administration would not only help in accomplishing municipal leadership's strategic initiations but also enhance Seoul's global competitiveness. At the same time, the KPIs can be a good communication tool through which the leadership and city customers can communicate with each other.
The concept of digital literacy has been defined in numerous ways over the last two decades to incorporate rapid technological changes, its versatility, and to bridge the global digital divide. Most approaches have been technology-centric with an inherent assumption of cultural and political neutrality of new media technologies. There are multiple hurdles in every stage of digital literacy implementation. The lack of solutions such as local language digital interfaces, locally relevant content, digital literacy training, the use of icons and audio excludes a large fraction of illiterate people. In this article, we analyse case studies targeted at under-connected people in sub-Saharan Africa and India that use digital literacy programmes to build knowledge and health literacy, solve societal problems and foster development. In India, we focus on notable initiatives undertaken in the domain of digital literacy for rural populations. In Sub-Saharan Africa, we draw from an original project in Kenya aiming at developing digital literacy for youth from low-income backgrounds. We further focus on Senegal, Mali, Burkina Faso and Tanzania, where field studies have been conducted on the use of digital technologies by low-literacy people and on how audio and icon-based interfaces and Internet lite standard could help them overcome their limitations. The main objective of this article is to identify key performance indicators (KPIs) in the context of digital literacy skills as one of the pillars for digital inclusion. We will learn how digital literacy programmes can be used to build digital literacy and how KPIs for sustainable development can be established. In the final discussion, we offer lessons learned from the case studies and further recommendation for stakeholders and decision-makers in the field of digital health literacy.
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To encourage arable farmers to strengthen biodiversity on their farms it is necessary to set clear goals, measure performance and reward their efforts. The use of key performance indicators for farmland biodiversity offers the possibility to monitor contributions of farmers in a consistent way and offers also a solid basis to pay for ecosystem services by value chain partners and governments. In cooperation with key stakeholders an integrated set of KPI's has been developed and scientifically underpinned. We started by analyzing the main challenges in arable farming for biodiversity and we explored how these can be translated these into key performance indicators. In our presentation we present our results and look forward to opportunities how to implement the KPI's in practice.
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