Adequate Performance Indicators Research Articles

Pengaruh Perencanaan Strategis Dan Kinerja SDM Dengan Titik Berat Pada Program Blitar Keren Terhadap Pencapaian Iku Pada Pemerintah Daerah Kota Blitar

Strategic planning is very necessary in order to achieve the Key Performance Indicators (KPI) with the right goals and objectives. Besides that, reliable and professional HR performance is also needed to carry out the duties and functions related to the strategic planning that has been determined. The determination of the Main Indicators must meet the characteristics and criteria of adequate Performance Indicators for measuring the performance of the Regional Work Units in order to achieve the Blitar Keren Program.
 The purpose of this study was to determine the effect of Strategic Planning with Emphasis on the Blitar Keren Program on Achievement of KPI (Key Performance Indicators) in Blitar City, determine the effect of HR performance with Emphasis on the Blitar Keren Program on Achievement of KPI (Main Performance Indicators) City Blitar. and to determine the simultaneous effect of strategic planning and HR performance with the emphasis on the Blitar Keren Program on the Achievement of the KPI (Key Performance Indicators) of Blitar City.
 This type of research is a quantitative research with a descriptive approach. The primary data collection technique was using a questionnaire questionnaire. Meanwhile, secondary data collection uses BPS data and data sourced from the Blitar city government. the number of samples in this study were 62 respondents. While the method used in data analysis in this study is multiple linear regression analysis.
 The results showed that 1) Strategic Planning had a positive and significant direct effect on the Achievement of KPIs (Key Performance Indicators) with the emphasis on the Blitar Keren. Weight on the Blitar Keren Program 3) Strategic Planning and HR performance have a direct positive and significant impact on the Achievement of KPI (Key Performance Indicators) with an emphasis on the Blitar Keren Program

Assessment of Sustainable Collaboration in Collaborative Business Ecosystems

Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations’ behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.

TOTAL QUALITY MANAGEMENT AS A TOOL FOR ORGANIZATIONAL EFFECTIVENESS

The purpose of this study is to ascertain the influence of TQM on organizational effectiveness. Background : Numerous studies are revealing the impact of TQM on different aspects of an organisation. However, there remains a limited understanding of the impact of TQM on the effectiveness of the organisation. Therefore, there remains a significant research gap in how TQM influences an organization’s effectiveness. In this regard, there is a significant research gap in the literature. Therefore, fulfilling this research gap is an area that calls for attention. Research will use a multi-case study based approach and use secondary and primary data. The research concludes, using a multicase study methodology, that TQM has a generally favorable influence on organizational effectiveness. The study demonstrates that TQM has a beneficial effect on financial and market share of product. Further, TQM has a favorable effect on earnings, sales, and revenues and a positive effect on investor returns. Consequently, the study establishes that TQM facilitates organizational performance. In terms of Innovation, the case study research provides limited insights into the effect of TQM on Innovation. The study shows that a thorough understanding of quality indicators, the selection of adequate performance indicators, the determination of weak points, leadership support, the development of a quality culture, and staff and management involvement are key success variables for implementing TQM. TQM has a positive impact on performance on companies, but impact on innovation is not evident. Therefore, there is a need to undertake study on how TQM influences innovation.

Spreadsheet Model for Determining Adequate Performance Indicators of Production Management

Research Question: This paper presents a simulation model aimed at improving total adequacy calculation for performance indicators of the first phase of production management. Motivation: Defining a set of adequate performance indicators that are specific and highly important for the observed planning phase has a significant impact on the effectiveness of the production process management. The result of the developed model is the value of selected performance indicators adequacy. Consequently, it can be concluded whether defined performance indicators are essential for the observed phase or other performance indicators should be selected. The monitoring of defined performance indicators should provide complete information about the observed phase and improvement of the planning phase management. Idea: The main idea of this paper is to develop a user-friendly simulation model, in accordance with the basic principles of spreadsheet engineering, for improving the selection of adequate performance indicators. This model is intended for use in Small and Medium Enterprises (SMEs) for the improvement of production management. Data: The data used in the paper are grounded on the scientific articles, reviews and empirical studies, related to the performance and performance indicators in production management. The set of most adequate performance indicators based on a relevant literature review and used in the model, represents performance indicators for the planning phase that are the most suitable for SMEs. Tools: The simulation model is developed in a spreadsheet environment. The use of spreadsheet applications enables simple data entry, processing, editing, analyzing and output reports compiling. Findings: Simulation results show the overall efficiency of the developed model in the determination of adequate performance indicators. They influence overall adequacy of performance indicators on the observed phase. Contribution: The main contribution of this paper lies in the model developed to maximize the adequacy of the performance indicators, suitable for use in the production management of SMEs.

Fuzzy-BSC Methodology for Decision Making in Indemnity Area of Insurance Companies

Decision making in insurance companies is carried out under permanent uncertainty, with limitations for designing adequate performance indicators. Therefore, this paper develops a methodology for implementing together Balanced Scorecard and fuzzy logic to treat the uncertainty of the performance measurement in the indemnity area of insurance companies. The application of the methodology allowed to obtain a crisp result of the effectiveness level in the indemnity area of an insurance company, considering the uncertainty in the performance of perspectives: Customers, Finance, Processes, and Learning and Growth.

Prognostic Algorithms Design Based on Predictive Bayesian Cramér-Rao Lower Bounds * *This work has been partially supported by FONDECYT Chile Grant Nr. 1170044, CONICYT PIA Project ACT1405, and the Advanced Center for Electrical and Electronic Engineering, Basal Project FB0008.

Abstract In the area of failure prognosis, system states are typically related to critical variables whose future evolution in time might significantly affect the health condition of the process, thus yielding into a critical failure at a particular time instant -typically referred to as the Time-of-Failure (ToF). Prognostic frameworks based on Bayesian processors, such as particle filtering, have already demonstrated their efficiency when trying to estimate the probability of failure in nonlinear, non-Gaussian, systems with stochastic operating profiles. However, even in those cases, it is still unclear how to measure the efficacy of the obtained results. For this purpose, it is first necessary to establish adequate performance metrics, and the Prognostics and Health Management (PHM) community has not found a convincing theory that could help to provide adequate performance indicators yet. This article represents a first step towards the solution of this problem by focusing on a rigorous mathematical definition of the prognostic problem, and defining novel performance metrics based on Bayesian Cramer-Rao Lower Bounds for the predicted state mean square error (MSE) conditional to measurement data and model dynamics. Furthermore, we also use these performance metrics to design a step-by-step methodology aimed at tuning the parameters of prognostic algorithms; guaranteeing that the precision of obtained results does not violate these fundamental bounds. This new metric is applied on the design of prognostic algorithms for the problem of State-of-Health monitoring on lithium-ion batteries.

Implementation of Integrated Service Networks under the Quebec Mental Health Reform: Facilitators and Barriers associated with Different Territorial Profiles

Introduction:This study evaluates implementation of the Quebec Mental Health Reform (2005–2015), which promoted the development of integrated service networks, in 11 local service networks organized into four territorial groups according to socio-demographic characteristics and mental health services offered.Methods:Data were collected from documents concerning networks; structured questionnaires completed by 90 managers and by 16 respondent-psychiatrists; and semi-structured interviews with 102 network stakeholders. Factors associated with implementation and integration were organized according to: 1) reform characteristics; 2) implementation context; 3) organizational characteristics; and 4) integration strategies.Results:While local networks were in a process of development and expansion, none were fully integrated at the time of the study. Facilitators and barriers to implementation and integration were primarily associated with organizational characteristics. Integration was best achieved in larger networks including a general hospital with a psychiatric department, followed by networks with a psychiatric hospital. Formalized integration strategies such as service agreements, liaison officers, and joint training reduced some barriers to implementation in networks experiencing less favourable conditions.Conclusion:Strategies for the implementation of healthcare reform and integrated service networks should include sustained support and training in best-practices, adequate performance indicators and resources, formalized integration strategies to improve network coordination and suitable initiatives to promote staff retention.

Performance indicators for collaborative business ecosystems — Literature review and trends

Nowadays, more and more enterprises are aware and motivated to adhere to collaborative platforms as business enablers, allowing groups of companies to improve their offer and competitiveness. As such, the concept of business ecosystem is becoming prominent. However, despite the evidences of collaboration benefits, for which some research efforts have been made, there is still a lack of suitable performance indicators and associated metrics to assess those benefits, promoting sustainability and resilience of the members of a collaborative business ecosystem. The analysis of the literature shows that a number of contributions can be found in several research fields, such as enterprise performance indicators, collaboration benefits, value systems, supply chain collaboration, and social network analysis. The purpose of this paper is to survey these areas, highlighting their potential contributions concerning the assessment of collaborative benefits and performance. The analysis also identifies the strengths and weaknesses of current proposals regarding the establishment of adequate performance indicators for collaborative business ecosystems.

Chronische zorg in Nederland anno 2010: leidt verandering tot verbetering?

Care for chronic patients is subject to transformation in many countries. This paper discusses recent transformations of chronic care in the Netherlands to answer the question: to what extent do these changes result in improvements? Important policy measures of the Ministry of Health, Welfare and Sports to improve chronic care are a programmatic approach for the organisation of care by means of so called standards of care, and integral financing of chronic care by means of diagnosis treatment combinations. In daily practice, both policy measures are implemented on the level of health problems like diabetes and vascular risk management. Notwithstanding the adequacy of the approach to improve chronic care in the Netherlands, its impact is unclear. It is argued that the policy measures need to be implemented on the level of patients. For this to happen, two recommendations are suggested: to make use of the building blocks of the chronic care model in an integrated fashion and aimed at the needs of patients, and to evaluate care transformations not in isolation and by making use of adequate performance indicators. Keywords: chronic care, health policy, chronic care model, quality improvement, patient

Railway corporate governance in a free-functioning freight transport market: a South African position

Defining the economic role of rail freight transport in the national transport system of South Africa should be one of the basic ingredients of both an economically rational transport policy and the effective functioning of Transnet Freight Rail. In the interest of the national economy and in its own commercial interest, Transnet Freight Rail must only specialise in those fields where it can provide services tailored to the needs of customers at prices which are competitive and defensible in terms of economic principles. The institutional framework governing Transnet Freight Rail’s operations should create an environment conducive to the management of its operations as a fully competitive and profit-oriented business by: fostering a competitive freight transport market; providing any required socio-economic rail services under special agreements; Transnet’s board of directors defining management objectives and granting real management autonomy to Transnet Freight Rail; and Transnet Freight Rail defining clear and adequate performance indicators for itself. On the basis of these conditions, this paper outlines a governance structure under which Transnet Freight Rail as a public corporation can operate within a climate of free and effective competition.

Use of Stiffness of Hot-Mix Asphalt as a Simple Performance Test

The objective was to determine whether the stiffness of a mix could be used as a simple performance test (SPT) parameter to complement the Superpave® volumetric mix design. This was investigated by a statistical analysis of the strength of the correlation between different mixture stiffness parameters and field performance (rutting, thermal, and fatigue cracking). A total of 30 mixtures were tested with laboratory-fabricated specimens. The studied stiffness parameters were compressive dynamic (complex) modulus | E*|, simple shear tester (SST) shear (complex) modulus | G*|, and dynamic elastic modulus Ed, obtained from ultrasonic wave propagation. Also, computed stiffness factors | E*|/sin ϕ and | G*|/sin ϕ for rutting and | E*|sin ϕ for cracking were studied as analogous to the Superpave binder specification. Research indicated that the correlation to rutting varied based on test temperature and frequency; it peaked at 54.4°C and 5 Hz. At peak conditions, | E*|/sin ϕ had better statistical correlation to rutting than | E*|, but correlations reversed at lower frequencies. Although | E*| and | G*| had similar correlation to rutting, analysis of test data indicated that the SST shear testing gave lower stiffness values and higher phase-angle values than the compressive dynamic modulus testing, even when Poisson’s ratio effects were considered. This was especially true at high temperatures. Because of these and other reasons, the dynamic modulus | E*| was recommended as the SPT parameter for rutting as well as for fatigue cracking. None of the studied parameters turned out to be adequate performance indicators for thermal cracking.