Measuring Green: The Generation of the Information

Green Grades ◽  
2017 ◽  
Author(s):  
Graham Bullock
Keyword(s):  
Life Cycle ◽  
Reliability And Validity ◽  
Lessons Learned ◽  
Methodological Issues ◽  
Energy Star ◽  
General Lack ◽  
Living Building Challenge ◽  
Different Dimensions ◽  
Information Generation

Chapter 4 uses the differences between LEED, Green Globes, the Living Building Challenge, and ENERGY STAR to highlight the methodological issues associated with information-based governance. The chapter introduces the concepts of replicability, reliability, and validity, and applies them in an analysis of the transparency and quality of the data and methods used in existing information-based initiatives. The importance of life cycle approaches to developing valid environmental information about products and companies is also discussed. With a few important exceptions, data from 245 cases of these initiatives demonstrates their general lack of methodological transparency and validity, and highlight the challenges associated with developing robust metrics of sustainability. The chapter discusses several important tradeoffs between different dimensions of validity, and suggests several strategies for managing these tradeoffs. It also identifies the most promising and problematic information generation practices found in the database and the lessons learned from these examples.

scholarly journals Synthesis of Intervention Research to Modify Physical Activity and Dietary Behaviors

2005 ◽  
Vol 19 (1) ◽  
pp. 25-61 ◽  
Author(s):  
Carolyn L. Blue ◽  
David R. Black
Keyword(s):  
Physical Activity ◽  
Intervention Studies ◽  
Reliability And Validity ◽  
Lessons Learned ◽  
Dietary Behaviors ◽  
Methodological Issues ◽  
Critical Elements ◽  
Multiple Components ◽  
Intervention Content ◽  
Intervention Adherence

A descriptive literature review was conducted to examine conceptual and methodological issues of interventions aimed at improving both physical activity and diet behaviors according to critical elements established by Sidani and Braden (1998). The method of the review of 30 articles describing 17 intervention studies focused on the following nine elements: (a) relevance of the intervention to the targeted outcome; (b) theoretical components of the intervention; (c) intervention components; (d) complexity, strength, and integrity of the intervention; (e) extraneous factors; (f) adherence to the intervention and retention; (g) reliability and validity of the outcome measures; (h) expected outcomes; and (i) effectiveness of the intervention. The results were that the interventions were relevant and included multiple components, but most interventions lacked an explicit theoretical framework. Adherence to the intervention and retention were problems. Overall, to varying degrees and for those completing the programs, the interventions were effective for increasing physical activity, lowering dietary fat, weight loss, and reducing risk for illness. Twelve “lessons learned” evolved that have practical and research implications. One salient lesson and future priority is to incorporate theory to reveal the intervention content and mechanisms to modify physical activity and dietary behaviors concurrently so that future interventions are more efficacious and efficient. Another lesson revealed the need for more sensitive measures, and examination of ways to improve intervention adherence and retention and prevent relapse.

Construction Control As A Strategy For Improving The Quality Of Buildings And Structures

2020 ◽  
Keyword(s):  
Quality Control ◽  
Life Cycle ◽  
Construction Control ◽  
Construction Sites ◽  
Actual Problem ◽  
Construction Market ◽  
Construction Products ◽  
Underlying Causes ◽  
Required Quality

In construction production, the safety of constructing buildings and structures is achieved by ensuring the required quality as a result of systematic construction control based on the implementation of a complex of technical, economic and organizational measures at all stages of the object's life cycle. The article deals with the actual problem of improving the quality of construction products-buildings and structures in conjunction with the activities of construction control bodies. The article presents the advanced foreign and domestic experience of ensuring the quality control at the construction sites, providing for the prevention of the underlying causes of defects and increasing the interest of the contractors directly. On the basis of the analysis of the current situation with quality control at the construction market, ways to improve its efficiency by developing a unified system of technological implementation of relevant requirements for the quality of construction products, determining the rational number and business load of construction control engineers, as well as the active activities of self-regulatory organizations in this area are offered.

Service Quality Of Industrial Parks In The View Of Foreign Direct Investment Firms

2019 ◽  
Vol 118 (11) ◽  
pp. 552-562
Author(s):  
Nguyen Thi Ngan ◽  
Bui Huy Khoi
Keyword(s):  
Foreign Direct Investment ◽  
Service Quality ◽  
Direct Investment ◽  
Reliability And Validity ◽  
Quantitative Model ◽  
Industrial Park ◽  
Industrial Parks ◽  
Average Variance ◽  
Composite Reliability

This research aims to assess the service quality of industrial parks (IP) in the view of FDI (foreign direct investment) firms in Vietnam. Data was collected from 270 FDI firms in Vietnam - Singapore Industrial Parks (VSIP) in Vietnam. The proposed research model was based on researches on service quality. Cronbach's Alpha Average Variance Extracted (Pvc),rho (ρA), and Composite Reliability (Pc) tested the reliability and validity of the scale. The analysis results showed that four factors were affecting the servicequality of industrial park in Vietnam being tangibleof VSIP, reliability of VSIP, the empathyof FDI investors, and their assurance. The responsivenessof VSIP did not affect the servicequality of the industrial park. Contents of the article focus on two main issues: the analysis framework of the quantitative model and implicating results todevelop the industrial park services. The limitation of the research was only in VSIP in Vietnam.

Проблемы оценки качества при проектировании транспортных услуг

2020 ◽  
pp. 30-40
Author(s):  
S.U. Lyapina ◽  
◽  
V.N. Tarasova ◽  
V.B. Ruchkin ◽  
E.O. Koscheeva ◽  
...  
Keyword(s):  
Life Cycle ◽  
Business Processes ◽  
Service Industries ◽  
Service Organizations ◽  
Quality Of Services ◽  
Market Failures ◽  
Expert Opinions ◽  
Service Life Cycle ◽  
Quantitative Indicators

The quality issues of new services directly affect the competitiveness of service organizations. However, the introduction of new services to the market is often limited only to the construction of the logistics of business processes, and the design applies only to technological equipment and infrastructure, the quality of which ultimately does not always ensure the quality of the services provided. At the same time, quality management affects mainly operational aspects, that is, it covers the later stages of the service life cycle. In resource-intensive service industries (for example, transport, communications, etc.), the high cost of equipment and infrastructure reduces the possibility of changes in service delivery technologies to improve their quality, which leads to inefficiency and market failures due to the fact that the new service does not match the real needs of customers. Despite this, forecasting and planning the quality of a service at the stage «making a decision» to launch a new service on the market remains largely without sufficient attention. The authors prove the need to design the quality of services at the stage «making a decision» to bring new services to the market. The purpose of the article is to describe the approach developed by the authors to assessing the quality of projected services at the early stages of their life cycle, which makes it possible to integrate qualitative and quantitative indicators of the future service and take into account the forecast requests of customers. The proposed approach has two features: (1) forecasting customer requirements for the quality of services is based on the results of machine learning based on data on existing and potential customers, as well as on the basis of the accumulated knowledge base of customer experience and expert opinions; (2) multi-criteria optimization is used, while some of the optimized parameters are discrete and high-quality. In conclusion, the authors demonstrated the advantages of the developed model on the examples of transport and logistics business in the field of passenger and freight transportation in Russia.

Computable metrics of personal performance in software development teams

2019 ◽  
Author(s):  
Andriy Lishchytovych ◽  
Volodymyr Pavlenko
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Product Quality ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Project Manager ◽  
Development Life Cycle ◽  
Software Product ◽  
Software Development Life Cycle

The present article describes setup, configuration and usage of the key performance indicators (KPIs) of members of project teams involved into the software development life cycle. Key performance indicators are described for the full software development life cycle and imply the deep integration with both task tracking systems and project code management systems, as well as a software product quality testing system. To illustrate, we used the extremely popular products - Atlassian Jira (tracking development tasks and bugs tracking system) and git (code management system). The calculation of key performance indicators is given for a team of three developers, two testing engineers responsible for product quality, one designer, one system administrator, one product manager (responsible for setting business requirements) and one project manager. For the key members of the team, it is suggested to use one integral key performance indicator per the role / team member, which reflects the quality of the fulfillment of the corresponding role of the tasks. The model of performance indicators is inverse positive - the initial value of each of the indicators is zero and increases in the case of certain deviations from the standard performance of official duties inherent in a particular role. The calculation of the proposed key performance indicators can be fully automated (in particular, using Atlassian Jira and Atlassian Bitbucket (git) or any other systems, like Redmine, GitLab or TestLink), which eliminates the human factor and, after the automation, does not require any additional effort to calculate. Using such a tool as the key performance indicators allows project managers to completely eliminate bias, reduce the emotional component and provide objective data for the project manager. The described key performance indicators can be used to reduce the time required to resolve conflicts in the team, increase productivity and improve the quality of the software product.

Long-term Piloting Of Osmotic MBR For Potable Reuse: Performance, Life-Cycle Assessment, and Lessons Learned

2016 ◽  
Vol 2016 (14) ◽  
pp. 830-854
Author(s):  
Tzahi Y Cath ◽  
Ryan W Holloway ◽  
Leslie Miller-Robbie ◽  
Mehul Patel ◽  
Jennifer R Stokes ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Lessons Learned ◽  
Potable Reuse
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