FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010911804> ?p ?o ?g. }

• W3010911804 abstract "This research is focused on the construction of composite indicators: a complex process involving various steps that have significant impact on the results. One of the main problems in constructing composite indicators is its reliance on multiple subjective judgments (Cherchye et al., 2008). This was clearly demonstrated in the case of Website Excellence Model (WEM) scores, whose main purpose is to assess and compare the performance of Dubai Government departments’ website. Many subjective judgments were being made by different parties in each of the three main stages of the WEM process: pre-assessment, assessment and post-assessment stage. This level of subjectivity led to a problem where many departments end up being unsatisfied with the overall scores and the general process of deriving the results.This research indicates that at each stage of the WEM process, the reliability, validity and fairness of the results were affected. To construct a more accurate, flexible, equitable and transparent WEM scoring methodology, we proposed the use of geometric data envelopment analysis model (G-DEA) along with some general guidelines to be followed during different stages of the process. G-DEA methodology combines positive characteristics of geometric aggregation, Analytical Hierarchy Process (AHP) and DEA. Geometric aggregation makes improvements on two different levels. First, it is better suited for constructing WEM scores than the “standard” additive aggregation, for much the same reasons as for why the switch from additive to geometric aggregation took place for Human Development Index back in 2010. Second, it allows for DEA-like models to be easily extended and applied to a composite indicator irrespective of how complex its hierarchy structure may be. The elements of AHP and DEA contribute through their own well-known properties, such as the reduction of decision bias (AHP and DEA) and an equitable evaluation of departments relative to the observed best practices (DEA).In short, this thesis proposes the use of G-DEA model and discusses the most relevant theoretical and practical aspects and features of that method when applying it to WEM scores. G-DEA methodology is well suited for the WEM scoring framework but there are certainly many other applications, relating to the construction of composite indicators that could benefit from the same methodology. Overall, this study aims to provide both practitioners and academics in the field of composite indicators with a clear application focus on using G-DEA to assess website performance, penetrating the area which so far has never been used in the context of composite indictors. In addition, this study clearly illustrates how G-DEA can combine many good qualities of different well-known techniques for constructing composite indicators." @default.
• W3010911804 created "2020-03-23" @default.
• W3010911804 creator A5058761643 @default.
• W3010911804 date "2019-07-04" @default.
• W3010911804 modified "2023-09-27" @default.
• W3010911804 title "Metrics, indicators and analytics to support government excellence programme::the case of Dubai Government Website Excellence Model (WEM)" @default.
• W3010911804 cites W1484750607 @default.
• W3010911804 cites W1495193351 @default.
• W3010911804 cites W1505232956 @default.
• W3010911804 cites W1538121906 @default.
• W3010911804 cites W1571722942 @default.
• W3010911804 cites W1586197777 @default.
• W3010911804 cites W1586477278 @default.
• W3010911804 cites W1859608301 @default.
• W3010911804 cites W1963526703 @default.
• W3010911804 cites W1980130582 @default.
• W3010911804 cites W1980374759 @default.
• W3010911804 cites W1984619784 @default.
• W3010911804 cites W1987645937 @default.
• W3010911804 cites W1989775047 @default.
• W3010911804 cites W1990808695 @default.
• W3010911804 cites W1993179908 @default.
• W3010911804 cites W1996601681 @default.
• W3010911804 cites W2013731936 @default.
• W3010911804 cites W2030083085 @default.
• W3010911804 cites W2033944180 @default.
• W3010911804 cites W2037293719 @default.
• W3010911804 cites W2041751658 @default.
• W3010911804 cites W2046078150 @default.
• W3010911804 cites W2052403654 @default.
• W3010911804 cites W2052928398 @default.
• W3010911804 cites W2059124314 @default.
• W3010911804 cites W2062083276 @default.
• W3010911804 cites W2067882271 @default.
• W3010911804 cites W2068656783 @default.
• W3010911804 cites W2076452041 @default.
• W3010911804 cites W2078198101 @default.
• W3010911804 cites W2078847523 @default.
• W3010911804 cites W2078980842 @default.
• W3010911804 cites W2083329137 @default.
• W3010911804 cites W2083995756 @default.
• W3010911804 cites W2087148036 @default.
• W3010911804 cites W2087713365 @default.
• W3010911804 cites W2088981440 @default.
• W3010911804 cites W2092000199 @default.
• W3010911804 cites W2094618930 @default.
• W3010911804 cites W2095352655 @default.
• W3010911804 cites W2107805511 @default.
• W3010911804 cites W2151043375 @default.
• W3010911804 cites W2156577211 @default.
• W3010911804 cites W2160367658 @default.
• W3010911804 cites W2162180338 @default.
• W3010911804 cites W2246069969 @default.
• W3010911804 cites W2783489174 @default.
• W3010911804 cites W3123018443 @default.
• W3010911804 cites W3124266669 @default.
• W3010911804 cites W3125604211 @default.
• W3010911804 cites W594643894 @default.
• W3010911804 cites W879638599 @default.
• W3010911804 cites W2078976894 @default.
• W3010911804 hasPublicationYear "2019" @default.
• W3010911804 type Work @default.
• W3010911804 sameAs 3010911804 @default.
• W3010911804 citedByCount "0" @default.
• W3010911804 crossrefType "dissertation" @default.
• W3010911804 hasAuthorship W3010911804A5058761643 @default.
• W3010911804 hasConcept C105795698 @default.
• W3010911804 hasConcept C111919701 @default.
• W3010911804 hasConcept C121332964 @default.
• W3010911804 hasConcept C127413603 @default.
• W3010911804 hasConcept C138885662 @default.
• W3010911804 hasConcept C163258240 @default.
• W3010911804 hasConcept C17744445 @default.
• W3010911804 hasConcept C199360897 @default.
• W3010911804 hasConcept C199539241 @default.
• W3010911804 hasConcept C22088475 @default.
• W3010911804 hasConcept C2522767166 @default.
• W3010911804 hasConcept C2777352838 @default.
• W3010911804 hasConcept C2778137410 @default.
• W3010911804 hasConcept C2780801425 @default.
• W3010911804 hasConcept C33923547 @default.
• W3010911804 hasConcept C41008148 @default.
• W3010911804 hasConcept C41895202 @default.
• W3010911804 hasConcept C42475967 @default.
• W3010911804 hasConcept C43214815 @default.
• W3010911804 hasConcept C62520636 @default.
• W3010911804 hasConcept C79158427 @default.
• W3010911804 hasConcept C87345402 @default.
• W3010911804 hasConcept C98045186 @default.
• W3010911804 hasConceptScore W3010911804C105795698 @default.
• W3010911804 hasConceptScore W3010911804C111919701 @default.
• W3010911804 hasConceptScore W3010911804C121332964 @default.
• W3010911804 hasConceptScore W3010911804C127413603 @default.
• W3010911804 hasConceptScore W3010911804C138885662 @default.
• W3010911804 hasConceptScore W3010911804C163258240 @default.
• W3010911804 hasConceptScore W3010911804C17744445 @default.
• W3010911804 hasConceptScore W3010911804C199360897 @default.
• W3010911804 hasConceptScore W3010911804C199539241 @default.
• W3010911804 hasConceptScore W3010911804C22088475 @default.
• W3010911804 hasConceptScore W3010911804C2522767166 @default.

• next