Strategic performance evaluation: descriptive and prescriptive analysis

Saad, Germaine H.

doi:10.1108/eum0000000006169

Cited by 43 publications

(27 citation statements)

References 12 publications

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“…Literature shows a considerable increase in the fields of supply chain performance and its effects on company performance (Zelbst et al, 2009;Gulledge and Chavusholu, 2008;Koh et al, 2007;Wong and Wong, 2007;Morgan and Dewhurst, 2007;Caputo et al, 2004), and company performance management and measurement (Phusavat et al, 2009b;Ho, 2008;Velcu, 2007;Lin and Kuo, 2007;Choy et al, 2006;Rao, 2006;Liang et al, 2004;Bose, 2004;Saad, 2001;Chen et al, 2001;Kuo et al, 1999). However, little research has been conducted on employee performance and more specifically, quantifying employee performance.…”

Section: Performance Managementmentioning

confidence: 99%

“…Literature shows a considerable increase in the fields of supply chain performance and its effects on company performance (Allesina et al, 2010;Pero et al, 2010;Whicker et al, 2009;Kim, 2009;Craighead et al, 2009;Yeung, 2008;Cousins et al, 2008;Sharif et al, 2007;Wong and Wong, 2007;Carr and Kaynak, 2007) and company performance management and measurement (Phusavat et al, 2009b;Ho, 2008;Lin and Kuo, 2007;Rao, 2006;Saad, 2001;Kuo et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Performance measurement in a quality management system

2011

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Certification to quality assurance standards has become a must for many construction companies nowadays to be able to survive in highly competitive market.Companies face some difficulties while deploying a quality management system. On the other hand and from resource management point of view, resource utilization should be optimized both in company and its projects. This optimization is sought to be cost saving and time reduction while enhancing quality in many recent studies.The main challenge in resource optimization is employees' and workers' low morale and their resistance against organizational change. In order to overcome this problem and creating a motive environment in construction companies, a robust decision support tool is needed to efficiently and objectively measure and monitor employee performances.The core research objectives of this study are to: (1) overcome main pitfalls of quality management system deployment including large amount of paperwork, unstructured documentation, improper communication, and low employee morale;(2) formulate a conceptual framework to quantify employee performances based on three management factors of time, cost, and quality to be used as a basis for motivation system; and (3) develop an online office automation system using web and database capabilities of Microsoft Visual Studio .NET 2008 that simultaneously aims to optimize resource utilization.First, an extensive literature survey was conducted and through a questionnaire survey, the research methodology was designed.iv Second, a performance measurement framework was developed to enable efficient and effective resource utilization in construction projects and companies. The framework incorporates three management factors of time, cost, and quality and objectively quantifies each employee's performance. It was aimed to reduce the subjectivity of performance calculations through quantifying work quality. The performance factors could be further employed as a motivation tool for employees while being used as a performance monitoring decision tool for manager.Third, a prototype web-based office automation system was developed to enable the integration of the research developments of this study with information technology to facilitate its adoption in the construction companies. The system is designed to: (1)

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Section: Performance Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance measurement in a quality management system

2011

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“…To provide the best quality of education to the students, we must first evaluate their expectations and perceptions about these services. Evaluation is one of the strongest tools for strategic development at higher educational environment (2). Evaluation of different courses at higher education is a necessity element nowadays, and also is the way to improve the quality of educational courses.…”

Section: Introductionmentioning

confidence: 99%

Quality Evaluation of Educational Services Gap in Neyshabur Faculty of Medical Sciences Based on Service Quality Scale

et al. 2014

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Background:Recognition of views and expectations of students is an important issue to improve the quality of educational services in the universities. Objectives: The aim of this study was to evaluatethe quality gap of educational services by using Service Quality (SERVQUAL) instrument in Neyshabur Faculty of Medical Sciences in viewpoints of students. Materials and Methods:In this cross-sectional study, data were collected using SERVQUAL instrument which comprisedof two questionnaires (perception and expectation) and each of them comprised 27 items based on the Likert scale. This questionnaire evaluatedfive dimensions of service: assurance, responsiveness, empathy, reliability and tangible Questionnaires were distributed between 199 students study at Neyshabur Faculty of Medical Sciences and 198 were returned (response rate = 99.5%); one questionnaire was excluded because it was notreturned. Quality gap of educational services was determined based on differences between students' perceptions and expectations. Data were analyzed using SPSS16 software. Results: The mean age of the students was 20.38±1.92 years; 65.7 % were female and 34.3% were male. There was a negative quality gap in each of the five SERVQUAL dimensions. The overall mean of quality gap was -1.31. The greatest and the least negative quality gap means were observed in the tangible (-1.62) and reliability (-1.02) dimensions, respectively. There were significant differences between perceptions and expectations of students in all dimensions represented by SERVQUAL (P < 0.05). Conclusions:The results of this study showed that there is a notable gap between students' expectations and what they have actually received of educational services. Thus, improvements are required in all dimensions of educational services quality.

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“…Brojne studije pokazuju da rangovi univerziteta utiču na izbor fakulteta/univerziteta kod đaka koji završavaju školu. G. Saad (2001) Rad je strukturiran na sledeći način: najpre je dat kratak teorijski osvrt na problematiku i najznačajnije aspekte merenja organizacionih performansi. Zatim su, u pregledu literature, navedene najznačajnije reference koje tangiraju primenu AHP i DEA metoda u visokom obrazovanju, nakon čega su ukratko objašnjeni metodi korišćenii u radu -AHP, DEA i DEAHP.…”

Section: Ekonomski Fakultet Univerziteta U Kragujevcuunclassified

“…Numerous studies show that university ranking influences the selection of faculties/universities on the part of students who finish school. G. Saad (2001) notes that performance analysis allows for an efficient and effective allocation of available resources. It also allows higher education planners to identify universities with the highest level of performance.…”

mentioning

confidence: 99%

The integrated application of the AHP and the DEA methods in evaluating the performances of higher education institutions in the Republic of Serbia

Mimović¹,

Krstić²

2016

Ekon horizonti

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The measurement and evaluation of performance are critical for the efficient and effective functioning of the economic system, because this allows for the analysis of the extent to which the defined objectives are achieved. Organizational performance is measured by different methods, both quantitative and qualitative. Many of the known methods for the evaluation and measurement of organizational performance take into account only financial indicators, while ignoring the non-financial ones. The integration of both indicators, through the combined application of multiple methods and the comparison of their results, should provide a more complete and objective picture of organizational performance. The Analytic Hierarchy Process (AHP) is a formal framework for solving complex decision-making problems, as well as a systemic procedure for the hierarchical presentation of the problem elements. The Data Envelopment Analysis (DEA) is a nonparametric approach based on linear programming, which allows for the calculation of the efficiency of decision-making units within a group of organizations. The work is an illustration of the method and framework of the combined use of the multi-criteria analysis methods for the measurement and evaluation of the performance of higher education institutions in the Republic of Serbia. The advantages of this approach are reflected in overcoming the shortcomings of a partial application of the AHP and the DEA methods by utilizing a new, hybrid, DEAHP (Data Envelopment Analytic Hierarchy Process) method. Performance evaluation through an integrated application of the AHP and the DEA methods provides more objective results and more reliable solutions to the observed problem, thus creating a valuable information base for high-quality strategic decision making in higher education institutions, both at the national level and at the level of individual institutions.Keywords: multi-criteria analysis, analytic hierarchy process, data envelopment analysis, organizational performance, higher education JEL Classification: C44, C61, D81, I23 Organizational performance is, in general, multidimensional and influenced by a number of factors, such as financial factors, as the indicators of the financial position of the organization, strategic qualitative factors, which determine the internal activities of the organization and their relationship with the market and economic factors, including the business environment, etc. The aggregation of all these factors into a composite, overall performance measure is a subjective and complex process depending on the value and preference systems of decision makers in the decision-making process. Creating a performance measurement system is, therefore, a complex task, and what is to be considered as an optimal performance measurement system will vary from one case to another (Tangen, 2005). In this regard, it is important to understand how performance measurement systems are developed and integrated into organizations' management models. These findings are fully cons...

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Strategic performance evaluation: descriptive and prescriptive analysis

Cited by 43 publications

References 12 publications

Performance measurement in a quality management system

Performance measurement in a quality management system

Quality Evaluation of Educational Services Gap in Neyshabur Faculty of Medical Sciences Based on Service Quality Scale

The integrated application of the AHP and the DEA methods in evaluating the performances of higher education institutions in the Republic of Serbia

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