Performance Evaluation Planning Research Articles

IMPLEMENTATION OF TEACHER PERFORMANCE EVALUATION (A CASE STUDY AT MAHABODHI PRIMARY SCHOOL)

Human resources have an increasingly important position in the state of dynamic society, especially in the current society condition, which is oriented towards professional work. On the other hand, at this time Indonesia has entered the era of globalization, which requires competent and qualified human resources in their respective fields. One of the elements of creating human natural resources is the teacher, so it is deemed necessary to have competent and qualified teachers in an education setting. The success of an education organization is very much determined by the readiness of the teachers in preparing their students through teaching and learning activities. Thus, the purpose of this study was aimed to determine the implementation of teacher performance evaluations at SD Mahabodhi Jakarta. Qualitative research methods were used to describe the implementation of teacher performance evaluation programs. The results showed that the performance and quality of a teacher increases with the implementation of performance management according to the prescribed standards. The performance evaluation program refers to management principles which includes four components, namely (1) Planning performance evaluation, (2) Organizing performance evaluations, (3) Implementation of performance evaluation, (4) Supervision of teacher performance evaluation. Thus, it can be concluded that the teacher performance evaluation program can improve teacher performance and quality.

Analysis of Performance Evaluation Plan for High School Home Economics

Analysis of Performance Evaluation Plan for High School Home Economics

Performance evaluation framework of Wyoming connected vehicle pilot deployment program: summary of Phase 2 pre-deployment efforts and lessons learned

Purpose This paper aims to present a summary of the performance measurement and evaluation plan of the Wyoming connected vehicle (CV) Pilot Deployment Program (WYDOT Pilot). Design/methodology/approach This paper identified 21 specific performance measures as well as approaches to measure the benefits of the WYDOT Pilot. An overview of the expected challenges that might introduce confounding factors to the evaluation effort was outlined in the performance management plan to guide the collection of system performance data. Findings This paper presented the data collection approaches and analytical methods that have been established for the real-life deployment of the WYDOT CV applications. Five methodologies for assessing 21 specific performance measures contained within eight performance categories for the operational and safety-related aspects. Analyses were conducted on data collected during the baseline period, and pre-deployment conditions were established for 1 performance measures. Additionally, microsimulation modeling was recommended to aid in evaluating the mobility and safety benefits of the WYDOT CV system, particularly when evaluating system performance under various CV penetration rates and/or CV strategies. Practical implications The proposed performance evaluation framework can guide other researchers and practitioners identifying the best performance measures and evaluation methodologies when conducting similar research activities. Originality/value To the best of the authors’ knowledge, this is the first research that develops performance measures and evaluation plan for low-volume rural freeway CV system under adverse weather conditions. This paper raised some early insights into how CV technology might achieve the goal of improving safety and mobility and has the potential to guide similar research activities conducted by other agencies.

Orçamentação nos hotéis do Algarve: Alinhamento com a prática internacional

Budgets are an essential tool for planning and control, performance evaluation, communication, coordination and staff motivation. Despite their importance and wide use in the hotel sector, research into the budgeting practices of hotels located in Portugal is scarce. This study analyses the budgeting practices of hotels in the Algarve. Data collected through a structured questionnaire submitted to financial managers shows that budgets are widely adopted; however, they are mainly produced for the short term. The primary reasons for preparing budgets are performance evaluation, target setting, control and short-term planning. Few hotels use zero-base budgeting and there is also little use of flexible budgeting. Budgets are viewed as one of the main performance indicators. The findings are in line with the conclusions of previous studies.

Automotive Vendor's Performance Evaluation and Improvement Plan Presentation by Using a Data Envelopment Analysis

Vendors play a key role in their company's success, so having a vendor's performance evaluation system in order to identify strengths, areas of improvement and profitability in any company is essential. In this paper, first data envelopment analysis (DEA) which is a technique to evaluate the performance of decision-making units (DMUs) is studied. Then the efficiency scores of 66 automotive vendors based on the DEA (CCR) are calculated using Lingo software. Then, based on the efficiency scores of each vendor, improvement plan with the help of the dual DEA model is presented to increase efficiency scores of inefficient vendors. Finally, it will be clear that each inefficient vendor for improving the inefficiency should focus on which of the factors.

Do CEOs Make Their Own Luck? Relative Versus Absolute Performance Evaluation and Firm Risk

Influenced by their compensation plans, CEOs make their own luck through decisions that affect future firm risk. After adopting a relative performance evaluation (RPE) plan, total and idiosyncratic risk are higher, and the correlation between firm and industry performance is lower. The opposite is true for firms that adopt absolute performance evaluation (APE) plans. Plans including accounting-based performance metrics and/or cash payouts have weaker risk-related incentives. The higher idiosyncratic risk associated with RPE increases a firm's exposure to downside stock return risk and lowers credit quality. Our findings are economically consistent with observed differences in firms' financial and investment policies.

Appraisal Participation and Perceived Voice in Annual Appraisal Interviews

Appraisal interviews (AIs) are one of the most commonly used human resource practices in organizations. However, they are often criticized for comprising conflicting purposes. In this study, we focus on contextual factors of the appraisal process. Specifically, we propose that AIs follow a two-phase model of performance evaluation and development planning. These two phases trigger different levels of employee appraisal participation which, in turn, affects employees’ perception of voice. In a sample of 48 audiotaped AIs, we coded employees’ objective appraisal participation throughout the entire interview session and linked it to subsequent ratings of perceived voice. Results showed that interviews were highly leader-centered and mainly concentrated on performance evaluation. Employees’ appraisal participation was significantly lower during performance evaluation than during development planning. Appraisal participation during development planning, but not during performance evaluation, was related to subsequent ratings of perceived voice. In addition, this relationship was moderated by supervisor trust.

Influence of Pavement Condition Data Variability on Network-Level Maintenance Decision

This study evaluated the impacts of data variability on pavement performance evaluation and maintenance planning. Three methods were used to quantify the variability of data. For pavement roughness and rut depth, the ratio of the difference between two wheelpaths over the sum value was used to quantify the data variation. For distress data, Monte Carlo simulation was used to quantify the error in distress extent, and the transition matrices were used to quantify the error in distress severity classification. An evaluation framework was proposed to investigate the influence of data variability on maintenance planning. The analysis results indicate that roughness for state routes exhibited a larger variation than that for Interstates. Pavement surface on the left wheelpath generally was smoother than that on the right path, regardless of route type. In regard to distress severity, the accuracy of distress extent at a low severity level had little influence on the overall distress index, while the accuracy of distress extent at moderate and high severity levels significantly influenced the overall distress index. The accuracy of distress severity at a moderate level had the most significant influence on the pavement distress index. For the current pavement management system used in Tennessee, the variability of roughness and distress severity level were the dominant influencing factors for maintenance planning, whereas the variability of distress extent had a slight influence on maintenance planning. There was no significant influence of variability of rut depth on maintenance planning.

Continuous performance evaluation and capacity planning using resource profiles for enterprise applications

Abstract Continuous delivery (CD) is a software release process that helps to make features and bug fixes rapidly available in new enterprise application (EA) versions. Evaluating the performance of each EA version in a CD process requires a test environment comparable to a production system. Maintaining such systems is labor intensive and expensive. If multiple deployments of the same EA exist, it is often not feasible to maintain test instances for all of these systems. Furthermore, not all deployments are known at the time of a release (e.g., for off-the-shelf products). To address these challenges, this work proposes the use of resource profiles which describe the resource demand per transaction for each component of an EA and allow for performance predictions for different hardware environments and workloads without the need to own corresponding test environments. Within a CD process, resource profiles can be used to detect performance changes in EA versions. Once a version is released, resource profiles can be distributed along with the application binaries to support capacity planning for new deployments. Three integrated experiments for a representative EA provide validation for these capabilities.

ОЦЕНКА РЕЗУЛЬТАТИВНОСТИ ВНЕДРЕНИЯ КОРРЕКТИРУЮЩИХ ДЕЙСТВИЙ ДЛЯ ПОВЫШЕНИЯ КАЧЕСТВА МОДЕРНИЗИРОВАННОГО ЭЛЕКТРОПРИВОДА СТРЕЛОЧНОГО ТИПА СП-6М

The theoretical aspects of the performance evaluation plan introduction. The structure of the method performance. Evaluation of the effectiveness of the implementation of measures to improve the quality of the modernized electric drive signal type SP-6M.

Evaluating implementation of strategic performance management practices in universities in Uganda

Purpose – The purpose of this study was to propose a tool for evaluating implementation of strategic performance management (PM) by examining the strategic PM practices in public universities in Uganda. Design/methodology/approach – Literature was reviewed and the general features of PM practices were identified. These were captured in a survey instrument which was later administered to staff in selected universities in Uganda to determine the extent of strategic PM implementation. Principal component analysis was conducted to cluster similar variables together with an aim of identifying the focal areas for determining the extent of strategic PM practices implementation in a university. Findings – Strategic PM in public universities in Uganda exists and is aimed at achieving quality. Despite its existence, respondents generally disagreed that: an effective PM system exists in their respective universities, PM training is continuously provided to managers and staff and a formal process exists for units to provide feedback on the attainment of goals. Findings further revealed that implementation of PM practices in universities could be evaluated based on five foci, namely, alignment of organisational vision, mission, strategy and individual performance goals; staff involvement in PM implementation at unit level; existence of an improvement plan; existence of a performance evaluation plan; and staff awareness and understanding of PM. Research limitations/implications – The study focussed on only public universities in Uganda; hence, another study could be conducted considering all universities, both private and public. The list of items from literature may not be exhaustive hence additional PM practices that were not included in this tool should be identified from literature to enrich the evaluation tool. Practical implications – This study allowed the development of an empirical list of PM practices which could be used by universities and policy makers to evaluate implementation of strategic PM. Hence, the five foci could be adopted as an evaluation tool for universities with regard to strategic PM implementation. Using these five foci, university managers can identify the grey areas in their PM systems to which management attention could be focussed for improvement. Originality/value – Despite the increasing desire for effective PM implementation in most organisations the world over, there exists no empirical evidence of institutional PM implementation in public universities in Uganda. Besides, to the best of my knowledge, no study has been previously conducted with the aim of developing a tool for evaluating strategic (PM implementation in universities in Uganda.

Performance evaluation and capacity planning for a scalable and highly available virtualisation infrastructure for the LHCb experiment

The virtual computing is often run to satisfy different needs: reduce costs, reduce resources, simplify maintenance and the last but not the least adds flexibility. The use of Virtualization in a complex system such as a farm of PCs that control the hardware of an experiment (PLC, power supplies, gas, magnets...) put us in a condition where not only an High Performance requirements need to be carefully considered but also a deep analysis of strategies to achieve a certain level of High Availability. We conducted a performance evaluation on different and comparable storage/network/virtualization platforms. The performance is measured using a series of independent benchmarks, testing the speed and the stability of multiple VMs running heavy-load operations on the I/O of virtualized storage and the virtualized network. The result from the benchmark tests allowed us to study and evaluate how the different VMs workloads interact with the Hardware/Software resource layers.

Blocking probability analysis model for flexible spectrum optical networks

Compared to the traditional wavelength division multiplexing (WDM) optical networks with rigid and coarse granularities, flexible spectrum optical networks have high spectrum efficiency, which can support the service with various bandwidth requirements, such as sub and super channel. Among all network performance parameters, blocking probability is an important parameter for the performance evaluation and network planning in circuit-based optical networks including flexible spectrum optical networks. We propose an analytical method of blocking probability computation for flexible spectrum optical networks in this letter through mathematical analysis and theoretical derivation. Two blocking probability models are built respectively based on whether considering spectrum consecutiveness or not. Numerical results validate our proposed blocking probability models under different link capacity and traffic loads.

Retrial queuing system with Markovian arrival flow and phase-type service time distribution

We consider a multi-server queuing system with retrial customers to model a call center. The flow of customers is described by a Markovian arrival process (MAP). The servers are identical and independent of each other. A customer’s service time has a phase-type distribution (PH). If all servers are busy during the customer arrival epoch, the customer moves to the buffer with a probability that depends on the number of customers in the system, leaves the system forever, or goes into an orbit of infinite size. A customer in the orbit tries his (her) luck in an exponentially distributed arbitrary time. During a waiting period in the buffer, customers can be impatient and may leave the system forever or go into orbit. A special method for reducing the dimension of the system state space is used. The ergodicity condition is derived in an analytically tractable form. The stationary distribution of the system states and the main performance measures are calculated. The problem of optimal design is solved numerically. The numerical results show the importance of considering the MAP arrival process and PH service process in the performance evaluation and capacity planning of call centers.

Performance evaluation for software migration (abstracts only)

Advances in technology and economical pressure have forced many organizations to consider the migration of their legacy systems to newer platforms. Legacy systems typically provide mission critical services vital for an organization's business needs. These systems are usually very large and highly complex with little or no documentation. Furthermore, fewer people can understand and maintain these systems. While several techniques exist to verify the functionality of the migrated system, the literature is still lacking methods to effectively assess the performance impact of software migration. In this paper, we propose a new method designed specifically to address performance evaluation in software migration projects. The new method uses simple models and incorporates techniques for model validation and resource demand mapping for performance evaluation and capacity planning.

Reconstructing arrival processes to discrete queueing systems by inverse load transformation

In this article we propose methods to estimate the parameters of arrival processes to G/ D/1 queueing systems only based on observed departures from the system. The derived estimates can be used for performance evaluation and capacity planning in cases where the arrival process is not observable directly. Instead, only the departure process modified at the (last) server needs to be observed. Concerning the arrival process we begin by focusing on the normally distributed number of arrivals per interval and on autoregressive processes. Both classes can be used to model traffic in communication networks on links with a high degree of aggregation. In the case of autoregressive processes we apply the Tobit regression model in order to derive accurate estimates of all parameters of the arrival process. We then continue by generalizing the estimation procedures to correlated arrival processes by using the Buckley–James Estimator. The results are presented for the single G/ D/1 queue but are then generalized to the more realistic scenario of sequences of queues with possibly varying bottleneck capacity. The latter especially permits the modeling of effects due to interfering cross traffic. We show how the derived estimates can be used for performance evaluation or capacity planning based on effective bandwidth theory. Finally, we demonstrate that the estimation procedures can be utilized within wireless networks by means of a detailed simulation model.

Performance evaluation and capacity planning in a metallurgical job-shop system using open queueing network models

In this paper, we apply performance evaluation and capacity allocation models to support decisions in the design (or redesign) and planning of a job-shop queueing network of a metallurgical plant. Approximate parametric decomposition methods are used to evaluate system performance measures, such as the expected work-in-process (WIP) and production leadtimes. Based on these methods, optimisation models are then applied for the allocation (or reallocation) of capacity to the stations of the job-shop network. These models are also used to generate approximate trade-off curves between capacity investment and WIP or leadtime, which are valuable for a production manager to estimate how much capacity should be allocated to the stations to reach some targeted performance measures. These curves are also useful for the sensitivity analysis of the solutions to changes in the input parameters, such as the variability of the product demands, the mix of the production and the throughput rate of the network.

Incentives and Investor Expectations

This article argues that the Expectations‐Based Management (EBM) measure proposed by Copeland and Dolgoff (in the previous article) is essentially the same measure that EVA companies have used for years as the basis for performance evaluation and incentive compensation. After pointing out that the analyst‐based measures cited by Copeland and Dolgoff do not provide a basis for a workable compensation plan, the authors present the outline of a widely used expectations‐based EVA bonus plan. In so doing, they demonstrate the two key steps in designing such a plan: (1) using a company's “Future Growth Value”—the part of its current market value that cannot be accounted for by its current earnings— to calibrate the series of annual EVA “improvements” expected by the market; and (2) determining the executive's share of those improvements and thus of the company's expected “excess” return.One of the major objections to the use of EVA, or any single‐period measure, as the basis for a performance evaluation and incentive comp plan is its inability to reflect the longer‐run consequences of current investment and operating decisions. The authors close by presenting a solution to this “delayed productivity of capital” problem in the form of an internal accounting approach for dealing with acquisitions and other large strategic investments.

Managerial Use of Discounted Cash-Flow or Accounting Performance Measures: Evidence from the U.K. Life Insurance Industry

Owing to the increasing prevalence of value-based methodologies and the competitive and political pressures faced by the industry to improve its performance, the U.K. life insurance industry provides an interesting environment in which to examine whether senior management uses accounting vs. projected cash-flow-based financial performance measures for both managerial performance evaluation and strategic budgetary planning and control purposes. A survey is employed to examine what economic and organizational factors could condition managerial propensity to use three alternative measures: traditional accounting-based measures, Economic Value Added (EVA) and multiperiod, actuarial cash flow based measures such as embedded value (EV). Survey evidence suggests that life insurance CEOs are more likely to use EV for strategic management planning and control purposes, and that this preference is strongly conditioned by the firm's ownership structure. These results support the managerial incentive hypothesis, after controlling for the effects of other organizational structural and behavioural variables that potentially influence the choice of financial performance measure.

A simulation framework for cluster-based Web services

We propose a simulation framework, namely CWebSim, specifically designed for the performance evaluation and capacity planning of cluster-based Web services. A broad variety of Web cluster configurations can be simulated through CWebSim. Its modularity permits the definition of different mechanisms, algorithms, network topologies and hardware resources. Also, two workload input alternatives are possible: a trace-driven mode and a distribution-driven mode that encompasses the most recent results on Web workload characterization. We present two case studies to show how CWebSim can be used to test cache cooperation protocols and Web switch dispatching algorithms.