ALL FORCED RANKING SYSTEMS ARE NOT CREATED EQUAL: A POLICY CAPTURING STUDY.

2006 ◽  
Vol 2006 (1) ◽  
pp. H1-H6
Author(s):  
Brian D. Blume ◽  
Timothy T. Baldwin ◽  
Robert S. Rubin ◽  
William Bommer
Keyword(s):  
Policy Capturing ◽  
Ranking Systems ◽  
Forced Ranking

Insurer Ranking Systems Challenged in Mass.

2008 ◽  
Vol 41 (14) ◽  
pp. 50
Author(s):  
ALICIA AULT
Keyword(s):  
Ranking Systems

The experience of ranking russian economic journals

2015 ◽  
pp. 99-115 ◽  
Author(s):  
E. Balatsky ◽  
N. Ekimova
Keyword(s):  
Information System ◽  
Citation Index ◽  
Statistical Information ◽  
Expert Evaluation ◽  
Expert Interviews ◽  
Bibliometric Data ◽  
Russian Science ◽  
Ranking Systems ◽  
Economic Journals ◽  
Russian Science Citation Index

The article presents the results of the rating of Russian economic journals, the methodology of which is based on a combination of bibliometric data and expert interviews. Processing of the statistical information system of Russian science citation index (RINC) allows us to form a “primary” list of the best journals in the country. Expert evaluation of the list makes it possible to reorganize it with regard to the scientific level of periodicals and get the “secondary” list. The merger of two ranking systems forms the basis of obtaining the final ranking of economic journals. It is shown that the leading part of the constructed rating forms a kind of the Diamond List of journals, which on the whole agrees with similar lists obtained in earlier studies by other authors.

A Comparative Analysis of Investor and Auditor Materiality Judgments

2018 ◽  
Vol 38 (3) ◽  
pp. 149-166 ◽  
Author(s):  
F. Todd DeZoort ◽  
Travis P. Holt ◽  
Jonathan D. Stanley
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Empirical Evidence ◽  
Professional Standards ◽  
Policy Capturing ◽  
Cue Utilization ◽  
Critical Domain ◽  
Extant Literature

SUMMARY Materiality remains a challenging concept for auditors to implement in practice. The challenges underlying auditor materiality assessments are compounded by the fact that courts, regulation, and professional standards emphasize that materiality should be based on a “reasonable investor” perspective. Despite the investor orientation and ambiguous nature of the “reasonable investor” criterion, the extant literature lacks empirical evidence about investor materiality judgments and decision-making. To address this problem, we model sophisticated and unsophisticated investors' materiality judgments in a policy-capturing study and compare them to experienced auditors charged with assessing materiality from an investor perspective. The results indicate significant differences in materiality judgments, judgment consensus, and cue utilization among the three participant groups. We conclude the paper with discussion of the study's implications, highlighting that the overall results suggest the need for further consideration of ways to help auditors meet standards and expectations in this critical domain.

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems

2021 ◽  
Vol 16 (2) ◽  
pp. 1-23
Author(s):  
Zhao Li ◽  
Junshuai Song ◽  
Zehong Hu ◽  
Zhen Wang ◽  
Jun Gao
Keyword(s):  
Optimization Problem ◽  
Initial Conditions ◽  
Global Scale ◽  
Global Constraints ◽  
Economic Losses ◽  
Second Order Cone ◽  
Ranking Systems ◽  
Item Level ◽  
Shopping Experience ◽  
Regulation Method

Impression regulation plays an important role in various online ranking systems, e.g. , e-commerce ranking systems always need to achieve local commercial demands on some pre-labeled target items like fresh item cultivation and fraudulent item counteracting while maximizing its global revenue. However, local impression regulation may cause “butterfly effects” on the global scale, e.g. , in e-commerce, the price preference fluctuation in initial conditions (overpriced or underpriced items) may create a significantly different outcome, thus affecting shopping experience and bringing economic losses to platforms. To prevent “butterfly effects”, some researchers define their regulation objectives with global constraints, by using contextual bandit at the page-level that requires all items on one page sharing the same regulation action, which fails to conduct impression regulation on individual items. To address this problem, in this article, we propose a personalized impression regulation method that can directly makes regulation decisions for each user-item pair. Specifically, we model the regulation problem as a C onstrained D ual-level B andit (CDB) problem, where the local regulation action and reward signals are at the item-level while the global effect constraint on the platform impression can be calculated at the page-level only. To handle the asynchronous signals, we first expand the page-level constraint to the item-level and then derive the policy updating as a second-order cone optimization problem. Our CDB approaches the optimal policy by iteratively solving the optimization problem. Experiments are performed on both offline and online datasets, and the results, theoretically and empirically, demonstrate CDB outperforms state-of-the-art algorithms.

scholarly journals Towards Developing a Framework to Analyze the Qualities of the University Websites

Computers ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 57
Author(s):  
Maliha Rashida ◽  
Kawsarul Islam ◽  
A. S. M. Kayes ◽  
Mohammad Hammoudeh ◽  
Mohammad Shamsul Arefin ◽  
...  
Keyword(s):  
University Ranking ◽  
Web Based ◽  
Ranking Systems ◽  
Notice Board ◽  
Academic Websites ◽  
Multi Method Approach ◽  
The University ◽  
University Ranking Systems ◽  
Ranked List

The website of a university is considered to be a virtual gateway to provide primary resources to its stakeholders. It can play an indispensable role in disseminating information about a university to a variety of audience at a time. Thus, the quality of an academic website requires special attention to fulfil the users’ need. This paper presents a multi-method approach of quality assessment of the academic websites, in the context of universities of Bangladesh. We developed an automated web-based tool that can evaluate any academic website based on three criteria, which are as follows: content of information, loading time and overall performance. Content of information contains many sub criteria, such as university vision and mission, faculty information, notice board and so on. This tool can also perform comparative analysis among several academic websites and generate a ranked list of these. To the best of our knowledge, this is the very first initiative to develop an automated tool for accessing academic website quality in context of Bangladesh. Beside this, we have conducted a questionnaire-based statistical evaluation among several universities to obtain the respective users’ feedback about their academic websites. Then, a ranked list is generated based on the survey result that is almost similar to the ranked list got from the University ranking systems. This validates the effectiveness of our developed tool in accessing academic website.

scholarly journals Measuring the Feature of “The Global”: A Framework for Analyzing the Global City Ranking

2021 ◽  
Vol 13 (8) ◽  
pp. 4084
Author(s):  
Ka Lin ◽  
Aisha Ayaz ◽  
Lizheng Wang
Keyword(s):  
Urban Studies ◽  
Three Dimensional ◽  
Indicator System ◽  
Global City ◽  
Analysis Framework ◽  
City Development ◽  
Existing Problems ◽  
Urban Economic ◽  
Ranking Systems ◽  
New Perspective

This study discusses the measurement of the global city with the primary aim to uncover the logical grounds to measure the features of “the global” in the study of ranking and comparing the cities. The study sets up a three-dimensional analysis framework with infrastructure (economy), fluidity (openness), and reputation (influence) for the basic dimensions of measurement for the global cities. Using this framework, the studies of top-10 Chinese cities in the global city comparison have been conducted with the data of cities’ scores from various ranking systems. The resources used include the index of Globalization and World Cities, global urban economic competitiveness index, Economic daily and United Nations global urban sustainable competitiveness rankings. The study tests the effectiveness of this framework by illustrating the coherence and dissimilarity of this analysis with other city ranking systems, and further discloses the advantage of this indicator system. This study exposes the existing problems in the logic and rationale of the urban studies and establishes the basis of global city ranking, thus offering policymakers new perspective on the strategy of city development.

Comparing Two Decision Support Modes Using the Cognitive Shadow Online Policy-Capturing System

2020 ◽  
Vol 64 (1) ◽  
pp. 1125-1129
Author(s):  
Katherine Labonté ◽  
Daniel Lafond ◽  
Aren Hunter ◽  
Heather F. Neyedli ◽  
Sébastien Tremblay
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Response Pattern ◽  
Policy Capturing ◽  
Model Accuracy ◽  
Prototype Tool ◽  
Human Operators ◽  
Support Decision Making ◽  
Threat Evaluation

The Cognitive Shadow is a prototype tool intended to support decision making by autonomously modeling human operators’ response pattern and providing online notifications to the operators about the decision they are expected to make in new situations. Since the system can be configured either in a reactive “shadowing” or a proactive “recommendation” mode, this study aimed to determine its most effective mode in terms of human and model accuracy, workload, and trust. Subjects participated in an aircraft threat evaluation simulation without decision support or while using either mode of the Cognitive Shadow. Whereas the recommendation mode had no advantage over the control condition, the shadowing mode led to higher human and model accuracy. These benefits were maintained even when the tool was unexpectedly removed. Neither mode influenced workload, and the initial lower trust rating in the shadowing mode faded quickly, making it the best overall configuration for the cognitive assistant.

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