The Role of Linked Data and Semantic-Technologies for Sustainability Idea Management

Pérez, Alain; Larrinaga, Félix; Curry, Edward

doi:10.1007/978-3-319-05032-4_22

Cited by 9 publications

(6 citation statements)

References 8 publications

(7 reference statements)

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“…17,18 Similarly, Perez and co-workers proposed the use of LOD within the LCA community as an example of using semantic modeling to enhance knowledge discovery within life cycle models. 19 Cooper and co-workers identified the use of Semantic Web technology as a means to create interoperable "Big Data" across the various public LCA repositories. 20 Ingwersen and co-workers described the implementation of the Resource Description Framework (RDF), a set of Semantic Web standards, to facilitate data harmonization and enable the creation of an LOD LCA network.…”

Section: ■ Introductionmentioning

confidence: 99%

Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing

Cashman

Meyer

Edelen

et al. 2016

Environ. Sci. Technol.

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Demands for quick and accurate life cycle assessments create a need for methods to rapidly generate reliable life cycle inventories (LCI). Data mining is a suitable tool for this purpose, especially given the large amount of available governmental data. These data are typically applied to LCIs on a case-by-case basis. As linked open data becomes more prevalent, it may be possible to automate LCI using data mining by establishing a reproducible approach for identifying, extracting, and processing the data. This work proposes a method for standardizing and eventually automating the discovery and use of publicly available data at the United States Environmental Protection Agency for chemical-manufacturing LCI. The method is developed using a case study of acetic acid. The data quality and gap analyses for the generated inventory found that the selected data sources can provide information with equal or better reliability and representativeness on air, water, hazardous waste, on-site energy usage, and production volumes but with key data gaps including material inputs, water usage, purchased electricity, and transportation requirements. A comparison of the generated LCI with existing data revealed that the data mining inventory is in reasonable agreement with existing data and may provide a more-comprehensive inventory of air emissions and water discharges. The case study highlighted challenges for current data management practices that must be overcome to successfully automate the method using semantic technology. Benefits of the method are that the openly available data can be compiled in a standardized and transparent approach that supports potential automation with flexibility to incorporate new data sources as needed.

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Section: ■ Introductionmentioning

confidence: 99%

Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing

Cashman

Meyer

Edelen

et al. 2016

Environ. Sci. Technol.

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“…The literature on IM and IMS is relatively limited to the OE or specific benefit dimensions. For example, Perez, Larrinaga, & Curry (2013) studied IMS in the context of sustainability, while Barczak, Griffin, & Kahn (2009) -a new product development achievement, Nilsson, Elg, & Bergman (2002) -strengthening the organization's innovation capacity. Boeddrich (2004) highlighted the benefits of using a web-based IMS, among which are increasing motivation, increasing transparency, and fewer conflicts with patent-related problems.…”

Section: Source: Created By the Authorsmentioning

confidence: 99%

Benefits of Web-based Idea Management System Application

Miķelsone

Spilbergs

Segers

2021

EJMI

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Purpose: Research web-based idea management system (IMS) application benefits and their relations with different IMS types and how it is all related to the IMS results – idea quality, idea quantity and involvement. Design/Method/Approach: On the basis of a commercially available web-based IMS study and the analysis of cases of the IMS use, the main benefits of IMS were identified. The survey verified the most typical benefits for the IMS use. On the basis of a thematic analysis of the benefits, they were grouped together in advance in the thematic groups that were addressed. Data collection: the survey of 400 enterprises with web-based IMS experience was carried out. Data analysis: descriptive statistics and MANOVA analysis were utilized. Findings: The potential benefits of IMS in 4 main groups: the benefits of an idea management (IM) process, the benefits of innovation management, the benefits of cooperation, and the benefits of general management were determined. According to MANOVA, all groups of benefits have strong connections with all types of a web-based IMS. Originality/Value: This study fills the previously identified need to clarify the types of IMS and their impact on the results and benefits of IMS application. Academic contribution to the study is (1) it is the broadest survey-based study of the web-based IMS benefits; (2) it applies two classifications of IMS; (3) it explores relations among the results, benefits and IMS types. Practical contribution is the outcomes of the study will help companies to understand what results can be achieved using different types of IMS. Research Limitations/Future Research: This research opens avenues for the future research on the web-based IMS application in organizations exploring each of the benefit relations with the web-based IMS types. Paper type: Empirical.

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“…O comitê de tomada de decisão, pode ser formado por: Especialistas Internos ou externos (BOTHOS, APOSTOLOU, MENTZAS, 2009) e os tomadores de decisão (BOTHOS; APOSTOLOU; MENTZAS, 2009;PEREZ;LARRINAGA;CURRY, 2015).…”

Section: Avaliação Seleção Priorização De Ideiasunclassified

Caracterização Do Processo De Gestão De Ideias No Contexto Do Front End Da Inovação: Uma Revisão Integrativa

Valdati

Souza

Leite

et al. 2020

Perspectivas em Gestão & Conhecimento

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A gestão de ideias consolida-se na literatura, como um dos fatores para obter-se sucesso em projetos de inovação. Novos produtos normalmente advêm de uma ideia, por isso as organizações buscam formas de organizar essas ideias a fim de alimentar o processo de inovação. No entanto, essa não é uma tarefa fácil devido ao ambiente e as fases iniciais (front end) a qual está inserida. O objetivo desta pesquisa é identificar os elementos que caracterizam o processo de gestão de ideias com foco no front end da inovação. Para isso realizou-se uma revisão integrativa da literatura sobre gestão de ideias a fim de encontrar modelos, processos e frameworks. Como resultado foram encontradas seis fases principais, sendo elas: preparação, geração e coleta, filtragem e agrupamento, enriquecimento, avaliação/seleção e refinamento. Dentro delas foi possível identificar os atores envolvidos, bem como os resultados obtidos. Além disso, outros elementos identificados e considerados essenciais foram o armazenamento e o feedback.

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The Role of Linked Data and Semantic-Technologies for Sustainability Idea Management

Cited by 9 publications

References 8 publications

Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing

Mining Available Data from the United States Environmental Protection Agency to Support Rapid Life Cycle Inventory Modeling of Chemical Manufacturing

Benefits of Web-based Idea Management System Application

Caracterização Do Processo De Gestão De Ideias No Contexto Do Front End Da Inovação: Uma Revisão Integrativa

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