scholarly journals A Data-Driven Approach to Development of a Taxonomy Framework for Triple Bottom Line Metrics

2019 ◽  
Vol 11 (9) ◽  
pp. 2717
Author(s):  
Fátima L. Vieira ◽  
Paulo A. Vieira ◽  
Denis A. Coelho
Keyword(s):  
Screening Tool ◽  
Triple Bottom Line ◽  
Computational Approach ◽  
Data Driven ◽  
Specific Context ◽  
Bottom Line ◽  
Conscious Decision ◽  
Data Driven Approach ◽  
The Subject ◽  
The One

This paper proposes a data-driven approach to develop a taxonomy in a data structure on list for triple bottom line (TBL) metrics. The approach is built from the authors reflection on the subject and review of the literature about TBL. The envisaged taxonomy framework grid to be developed through this approach will enable existing metrics to be classified, grouped, and standardized, as well as detect the need for further metrics development in uncovered domains and applications. The approach reported aims at developing a taxonomy structure that can be seen as a bi-dimensional table focusing on feature interrogations and characterizing answers, which will be the basis on which the taxonomy can then be developed. The interrogations column is designed as the stack of the TBL metrics features: What type of metric is it (qualitative, quantitative, or hybrid)? What is the level of complexity of the problems where it is used? What standards does it follow? How is the measurement made, and what are the techniques that it uses? In what kinds of problems, subjects, and domains is the metric used? How is the metric validated? What is the method used in its calculation? The column of characterizing answers results from a categorization of the range of types of answers to the feature interrogations. The approach reported in this paper is based on a screening tool that searches and analyzes information both within abstracts and full-text journal papers. The vision for this future taxonomy is that it will enable locating for any specific context, discern what TBL metrics are used in that context or similar contexts, or whether there is a lack of developed metrics. This meta knowledge will enable a conscious decision to be made between creating a new metric or using one of those that already exists. In this latter case, it would also make it possible to choose, among several metrics, the one that is most appropriate to the context at hand. In addition, this future framework will ease new future literature revisions, when these are viewed as updates of this envisaged taxonomy. This would allow creating a dynamic taxonomy for TBL metrics. This paper presents a computational approach to develop such taxonomy, and reports on the initial steps taken in that direction, by creating a taxonomy framework grid with a computational approach.

Connecting Teacher-Made Assessments to Course Learning Outcomes Through Learning Analytics

2019 ◽  
pp. 101-125
Author(s):  
Julia Chen ◽  
Dennis Foung
Keyword(s):  
Learning Outcomes ◽  
Learning Analytics ◽  
Structural Equation ◽  
Data Driven ◽  
Equation Modeling ◽  
Curriculum Alignment ◽  
Outcome Based Education ◽  
Data Driven Approach ◽  
The Subject

This chapter explores the possibility of adopting a data-driven approach to connecting teacher-made assessments with course learning outcomes. The authors begin by describing several key concepts, such as outcome-based education, curriculum alignment, and teacher-made assessments. Then, the context of the research site and the subject in question are described and the use of structural equation modeling (SEM) in this curriculum alignment study is explained. After that, the results of these SEM analyses are presented, and the various models derived from the analyses are discussed. In particular, the authors highlight how a data-driven curriculum model can benefit from input by curriculum leaders and how SEM provides insights into course development and enhancement. The chapter concludes with recommendations for curriculum leaders and front-line teachers to improve the quality of teacher-made assessments.

Teaching grammar again after twenty years: corpus-based help for teaching grammar

ReCALL ◽  
1997 ◽  
Vol 9 (2) ◽  
pp. 8-16 ◽  
Author(s):  
Tony McEnery ◽  
Andrew Wilson ◽  
Paul Barker
Keyword(s):  
Secondary Education ◽  
Data Driven ◽  
Tertiary Level ◽  
Data Driven Approach ◽  
The Subject ◽  
Teaching Grammar ◽  
The Way

In this paper we consider how corpora may be of use in the teaching of grammar of the pre-tertiary level. Corpora are becoming well established in teaching in Universities. Corpora also have a role to play in secondary education, in that they can help decide how and what to teach, as well as changing the way in which puplis learn and providing the possibility of open-ended machine-aided tuition. Corpora also seem to provide what UK goverment sponsored reports on teaching grammar have called for – a data-driven approach to the subject.

scholarly journals Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies

2018 ◽  
Author(s):  
Sarah M. Alghamdi ◽  
Beth A. Sundberg ◽  
John P. Sundberg ◽  
Paul N. Schofield ◽  
Robert Hoehndorf
Keyword(s):  
Semantic Similarity ◽  
Quantitative Evaluation ◽  
Design Patterns ◽  
Data Driven ◽  
Anatomic Pathology ◽  
Ontology Design ◽  
Data Driven Approach ◽  
Rich Information ◽  
The Subject ◽  
Multiple Ontologies

ABSTRACTData are increasingly annotated with multiple ontologies to capture rich information about the features of the subject under investigation. Analysis may be performed over each ontology separately, but, recently, there has been a move to combine multiple ontologies to provide more powerful analytical possibilities. However, it is often not clear how to combine ontologies or how to assess or evaluate the potential design patterns available. Here we use a large and well-characterized dataset of anatomic pathology descriptions from a major study of aging mice. We show how different design patterns based on the MPATH and MA ontologies provide orthogonal axes of analysis, and perform differently in over-representation and semantic similarity applications. We discuss how such a data-driven approach might be used generally to generate and evaluate ontology design patterns.

scholarly journals Identifying the best questions for rapid screening of secondhand smoke exposure among children

2020 ◽  
Author(s):  
Albert J Ksinan ◽  
Yaou Sheng ◽  
Elizabeth K Do ◽  
Julia C Schechter ◽  
Junfeng (Jim) Zhang ◽  
...  
Keyword(s):  
At Risk ◽  
Screening Tool ◽  
Smoke Exposure ◽  
Data Driven ◽  
The Past ◽  
Smoking Exposure ◽  
Data Driven Approach ◽  
Shs Exposure ◽  
Child Age ◽  
Cotinine Concentration

Abstract Introduction Many children suffer from secondhand smoke exposure (SHSe), which leads to a variety of negative health consequences. However, there is no consensus on how clinicians can best query parents for possible SHSe among children. We employed a data-driven approach to create an efficient screening tool for clinicians to quickly and correctly identify children at risk for SHSe. Methods Survey data from mothers and biospecimens from children were ascertained from the Neurodevelopment and Improving Children’s Health following Environmental Tobacco Smoke Exposure (NICHES) study. Included were mothers and their children whose saliva were assayed for cotinine (n = 351 pairs, mean child age = 5.6 years). Elastic net regression predicting SHSe, as indicated from cotinine concentration, was conducted on available smoking-related questions and cross-validated with 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to select the most predictive items of SHSe among children (n = 1,670, mean child age = 8.4 years). Results Answering positively to at least one of the two final items (“During the past 30 days, did you smoke cigarettes at all?” and “Has anyone, including yourself, smoked tobacco in your home in the past 7 days?”) showed AUC = .82, and good specificity (.88) and sensitivity (.74). These results were validated with similar items in the nationally-representative NHANES sample, AUC = .82, specificity = .78, and sensitivity = .77. Conclusions Our data-driven approach identified and validated two items that may be useful as a screening tool for a speedy and accurate assessment of SHSe among children. Implications The current study used a rigorous data-driven approach to identify questions that could reliably predict secondhand smoking exposure (SHS) among children.Using saliva cotinine concentration levels as a gold standard for determining SHS exposure, our analysis employing elastic net regression identified two questions that served as good classifier for distinguishing children who might be at risk for SHS exposure. The two items that we validated in the current study can be readily used by clinicians, such as pediatricians, as part of screening procedures to quickly identify whether children might be at risk for secondhand smoking exposure.

scholarly journals A computational method to solve for the heat conduction temperature field based on data-driven approach

2021 ◽  
pp. 165-165
Author(s):  
Kun Li ◽  
Shiquan Shan ◽  
Qi Zhang ◽  
Xichuan Cai ◽  
Zhou Zhijun
Keyword(s):  
Temperature Field ◽  
Heat Conduction ◽  
Steady State ◽  
Transient State ◽  
Absolute Error ◽  
Computational Method ◽  
Data Driven ◽  
One Dimensional ◽  
Data Driven Approach ◽  
The One

In this paper, a computational method for solving for the one-dimensional heat conduction temperature field is proposed based on a data-driven approach. The traditional numerical solution requires algebraic processing of the heat conduction differential equations, and necessitates the use of a complex mathematical derivation process to solve for the temperature field. In this paper, a temperature field solution model called HTM (Hidden Temperature Method) is proposed. This model uses an artificial neural network to establish the correspondence relationship of the node temperature values during the iterative process, so as to obtain the "Data to Data" solution. In this work, one example of one-dimensional steady state and three examples of one-dimensional transient state are selected, and the calculated values are compared to those obtained by traditional numerical methods. The mean-absolute error(MAE)of the steady state is only 0.2508, and among the three transient cases, the maximum mean-square error(MSE) is only 2.6875, indicating that the model is highly accurate in both steady-state and transient conditions. This shows that the HTM simulation can be applied to the solution of the heat conduction temperature field. This study provides a basis for the further optimization of the HTM algorithm.

scholarly journals A SUSTENTABILIDADE SOB A PERSPECTIVA DO TRIPLE BOTTOM LINE NAS PEQUENAS EMPRESAS DE PRODUTOS VEGANOS

2021 ◽  
Vol 12 (1) ◽  
pp. 97-115
Author(s):  
Victor Hugo Piancó de Oliveira ◽  
Veruschka Vieira Franca ◽  
João Ricardo Correia Andrade
Keyword(s):  
Industrial Development ◽  
Health And Safety ◽  
Triple Bottom Line ◽  
Three Dimensions ◽  
Small Companies ◽  
Structured Interviews ◽  
Bottom Line ◽  
Sustainable Innovation ◽  
The One ◽  
Innovation Practices

Economic and industrial development have enabled people to live better by developing products and services that make their lives easier. However, these processes generate impacts that have been increasingly questioned as to the forms of mitigation. Many companies already seek to analyze their processes from the perspective of the Triple Bottom Line (TBL), or Sustainability Tripod, considering the dimensions: financial, environmental and social. In this context, a market that has been developed in recent years is the one of vegan products, since its consumers have sustainable balance as one of their ideals. Innovation oriented to sustainability or sustainable innovation is related to innovations that contribute to TBL. This work aimed to analyze the sustainable innovation practices adopted by small companies of vegan products and to identify their contributions to each of the three dimensions of the TBL. Multiple case studies were carried out, the information was collected through semi-structured interviews with the managers of the organizations and subsequently, a content analysis was made for the sustainable practices adopted by the companies. It can be observed that companies adopt several innovation practices oriented to sustainability in the environmental dimension, such as reverse logistics of packaging, the use of biodegradable or reusable resources, energy and water saving policy and selection of sustainable suppliers. In the social sphere, health and safety practices at work, use of personal protective equipment, training, promotion of events and social projects were identified. These practices, in general, increased revenues by attracting more consumers to their products and improving the company's image. Therefore, the small companies of vegan products that were surveyed develop practices aimed at balancing the sustainable tripod, generating environmental and social value, and not just obtaining economic gains.

Sustainability in Service Operations

2013 ◽  
pp. 257-276
Author(s):  
Frank Wolf ◽  
Bahaudin G. Mujtaba
Keyword(s):  
Continuous Improvement ◽  
Service Sector ◽  
Triple Bottom Line ◽  
Service Operations ◽  
Bottom Line ◽  
Sustainability Index ◽  
Academic Literature ◽  
Corporate Reporting ◽  
Commercial Enterprise ◽  
The Subject

This paper aims to set the stage for the development of an index that measures progress towards sustainability in the service sector. A review of the academic literature reveals history and theories on the subject, while a look at the trade literature describes what is happening in each of 13 different service sector industries. A framework for the development of a sustainability index for a commercial enterprise is developed. This framework is aligned with triple bottom line corporate reporting, and measures progress towards sustainability in terms of profit, people, and planet on the principle of continuous improvement.

Sustainability in Service Operations

2011 ◽  
Vol 3 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Frank Wolf ◽  
Bahaudin G. Mujtaba
Keyword(s):  
Continuous Improvement ◽  
Service Sector ◽  
Triple Bottom Line ◽  
Service Operations ◽  
Bottom Line ◽  
Sustainability Index ◽  
Academic Literature ◽  
Corporate Reporting ◽  
Commercial Enterprise ◽  
The Subject

This paper aims to set the stage for the development of an index that measures progress towards sustainability in the service sector. A review of the academic literature reveals history and theories on the subject, while a look at the trade literature describes what is happening in each of 13 different service sector industries. A framework for the development of a sustainability index for a commercial enterprise is developed. This framework is aligned with triple bottom line corporate reporting, and measures progress towards sustainability in terms of profit, people, and planet on the principle of continuous improvement.

scholarly journals Future trends and guidance for the triple bottom line and sustainability: a data driven bibliometric analysis

2020 ◽  
Vol 27 (27) ◽  
pp. 33543-33567 ◽  
Author(s):  
Ming-Lang Tseng ◽  
Chia-Hao Chang ◽  
Chun-Wei Remen Lin ◽  
Kuo-Jui Wu ◽  
Qing Chen ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Triple Bottom Line ◽  
Data Driven ◽  
Future Trends ◽  
Bottom Line
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