scholarly journals How can Student Learning Data at Institutional Level Support Decision-Making for Educational Improvement for Academic Programme? A Case Study in A Hong Kong University

2017 ◽  
Vol 2 (2) ◽  
pp. 144-169
Author(s):  
Joseph Chow
Keyword(s):  
Decision Making ◽  
Hong Kong ◽  
Student Learning ◽  
Educational Improvement ◽  
Institutional Level ◽  
Support Decision Making ◽  
Learning Data ◽  
Academic Programme

Managing records and archives in a Hong Kong school: a case study

2018 ◽  
Vol 28 (2) ◽  
pp. 204-216 ◽  
Author(s):  
Eric C.K. Cheng
Keyword(s):  
Decision Making ◽  
Hong Kong ◽  
Management Practices ◽  
Management Approach ◽  
Record Management ◽  
Records Management ◽  
Top Down ◽  
Bottom Up ◽  
Content Type

Purpose This study aims to explore the principles and practices for managing records with the lens of functional analysis and knowledge management by using a case study that focuses on the experience of implementing records management at a public high school in Hong Kong. Design/methodology/approach A single case study is chosen as the research method for this paper. A series of qualitative interviews and documentary analysis were used to collect and triangulate the qualitative data. Findings The results show that the case school adopted a hybrid top-down and bottom-up approach to record management, facilitate decision-making and manage knowledge. The school adopted the taxonomy provided by the quality assurance framework as the functional classification in a digital archive in the records management system. Practical implications This study provides a set of taxonomy and a hybrid top-down and bottom-up approach to schools for ensuring that accurate information of all school activities is kept and can facilitate an effective and evidence-based, decision-making process. Social implications Identifying taxonomy and management practices for effective documentation in public schools can support planning, assist with organising the continuity of improvement plans and increase reporting and accountability to society. Originality/value This study offers a taxonomy and management approach to the literature of records management and the practices for promoting and improving records management in school.

scholarly journals How Cognitive Biases Influence the Data Verification of Safety Indicators: A Case Study in Rail

Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 69
Author(s):  
Burggraaf ◽  
Groeneweg ◽  
Sillem ◽  
van Gelder
Keyword(s):  
Decision Making ◽  
Cognitive Biases ◽  
Decision Makers ◽  
Human Cognition ◽  
Quality Data ◽  
Verification Process ◽  
Support Decision Making ◽  
Good Quality Data

The field of safety and incident prevention is becoming more and more data based. Data can help support decision making for a more productive and safer work environment, but only if the data can be, is and should be trusted. Especially with the advance of more data collection of varying quality, checking and judging the data is an increasingly complex task. Within such tasks, cognitive biases are likely to occur, causing analysists to overestimate the quality of the data and safety experts to base their decisions on data of insufficient quality. Cognitive biases describe generic error tendencies of persons, that arise because people tend to automatically rely on their fast information processing and decision making, rather than their slow, more effortful system. This article describes five biases that were identified in the verification of a safety indicator related to train driving. Suggestions are also given on how to formalize the verification process. If decision makers want correct conclusions, safety experts need good quality data. To make sure insufficient quality data is not used for decision making, a solid verification process needs to be put in place that matches the strengths and limits of human cognition.

scholarly journals A Predictive Analytics Model for E-commerce Sales Transactions to Support Decision Making: A Case Study

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Shereen Morsi
Keyword(s):  
Decision Making ◽  
Predictive Analytics ◽  
Strategic Decisions ◽  
Business Decision ◽  
Innovative Capabilities ◽  
Data Volume ◽  
Precautionary Measures ◽  
Support Decision Making

Given the significant growth in electronic commerce, firms are seeking technological innovations and innovative capabilities to deal concurrently with the data’ volume generated and gaining insights from it for better decisions. Although recent studies identify predictive analytics as becoming the keystone of all business decision making and a crucial aspect in firms by it is a possible means for driving strategic decisions. Significant inroads into the interrelationships between capabilities and the execution of a pathway to an analytical capability to many Egyptian e-commerce businesses have yet to be made. Therefore, this paper aims to shed light on the importance and the role of using predictive analytics models in the Egyptian e-commerce firms where these tools became dominant resources for gaining valuable knowledge for better decision making by precautionary measures from prediction rates and different applications that have been applied by global e-commerce firms. The aim of the paper was achieved by building a predictive analytics model for sales forecasting by tackling to one of the e-commerce company in Egypt, and the online transaction dataset has been analyzed. The result obtained from the model has been displayed, and some insights extracted from the prediction model have been explained.

scholarly journals PARAMETRIC PARADIGMA: EXCEPTIONAL COFFERED CEILING ARCHITECTURE VS HBIM

2021 ◽  
Author(s):  
Olga Rosignoli ◽  
Barbara Scala ◽  
Daniele Treccani ◽  
Andrea Adami ◽  
Laura Taffurelli ◽  
...  
Keyword(s):  
Decision Making ◽  
Scientific Community ◽  
Conservation Management ◽  
Operational Strategies ◽  
Transcription Process ◽  
Combined Use ◽  
Decision Making Processes ◽  
Historical Heritage ◽  
Support Decision Making

The scientific community is confirming the advantages of using BIM in the processes of conservation, management, and intervention over architectural historical heritage. However, many difficulties remain in the transcription process of elements of the built environment, especially when the objective of the model is to support decision-making processes in restoration  operations. Even for apparently simple elements the procedures are not trivial; the need to define the most adequate operational strategies remains. In the context of this study, a possible approach concerning the documentation of a coffered ceiling has been proposed, a case study which takes into consideration the need to discretize information (to make it effective, transmissible, and understandable) and the potential offered by the combined use of further software automatization.

scholarly journals Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol

2019 ◽  
Vol 11 (9) ◽  
pp. 2507 ◽  
Author(s):  
Patricia Tzortzopoulos ◽  
Ling Ma ◽  
João Soliman Junior ◽  
Lauri Koskela
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Cost Estimation ◽  
Social Housing ◽  
Integrated Approach ◽  
Energy Performance ◽  
Building Information ◽  
The Uk ◽  
Support Decision Making

The UK government made significant commitments to upgrading the energy efficiency of seven million British homes by 2020, aiming at reducing carbon emissions and addressing fuel poverty. One alternative to achieve better energy performance in existing houses is retrofit. However, there are difficulties associated with retrofitting social housing. It is currently challenging to compare scenarios (retrofit options) considering costs, potential energy efficiency gains, and at the same time minimising disruption to users. This paper presents a Building Information Modelling (BIM) protocol aimed to support decision making by social housing owners. It adopts BIM to simulate alternative retrofit options, considering: (a) potential reductions in energy consumption, (b) 4D BIM for retrofit planning and reduction of users’ disruption and (c) simulation of costs. A what-if scenario matrix is proposed to support decision making in the selection of social housing retrofit solutions, according to client and users’ needs. A case study of the retrofit of a mid-terrace house is presented to demonstrate the workflow. The main output of the work is the BIM protocol, which can support client decision making in diverse social housing retrofit projects, considering all three elements (energy simulation, planning for reduced disruption and cost estimation) in an integrated fashion. Such an integrated approach enables clients to make better informed decisions considering diverse social housing retrofit options through a simple process using readily available BIM technology.

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