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Article
Publication date: 20 February 2007

Ann G. Green and Myron P. Gutmann

In developing and debating digital repositories, the digital library world has devoted more attention to their missions and roles in supporting access to and stewardship…

2032

Abstract

Purpose

In developing and debating digital repositories, the digital library world has devoted more attention to their missions and roles in supporting access to and stewardship of academic research output than to discussing discipline, or domain, specific digital repositories. This is especially interesting, given that in social science these domain‐specific repositories have been in existence for many decades. The goal of this paper is to juxtapose these two kinds of repositories and to suggest ways that they can help build partnerships between themselves and with the research community.

Design/methodology/approach

The approach taken in the paper is based on the fundamental idea that all the parties involved share important goals, and that by working together these goals can be advanced successfully.

Findings

The key message is that by visualizing the role of repositories explicitly in the life cycle of the social science research enterprise, the ways that the partnerships work will be clear. These workings can be seen as a sequence of reciprocal information flows between parties to the process, triggers that signal that one party or another has a task to perform, and hand‐offs of information from one party to another that take place at crucial moments. This approach envisions both cooperation and specialization.

Practical implications

If followed, the recommendations offered in the paper will allow those implementing various kinds of repositories to work together with others in new ways, thus both enhancing the amount of information preserved and its value for the community.

Originality/value

This is one of the first times that the mutual possibilities of institutional and domain‐specific repositories have been brought together.

Details

OCLC Systems & Services: International digital library perspectives, vol. 23 no. 1
Type: Research Article
ISSN: 1065-075X

Keywords

Content available
Article
Publication date: 31 October 2008

463

Abstract

Details

OCLC Systems & Services: International digital library perspectives, vol. 24 no. 4
Type: Research Article
ISSN: 1065-075X

Article
Publication date: 1 February 2022

Yasser Mater, Mohamed Kamel, Ahmed Karam and Emad Bakhoum

Utilization of sustainable materials is a global demand in the construction industry. Hence, this study aims to integrate waste management and artificial intelligence by…

Abstract

Purpose

Utilization of sustainable materials is a global demand in the construction industry. Hence, this study aims to integrate waste management and artificial intelligence by developing an artificial neural network (ANN) model to predict the compressive strength of green concrete. The proposed model allows the use of recycled coarse aggregate (RCA), recycled fine aggregate (RFA) and fly ash (FA) as partial replacements of concrete constituents.

Design/methodology/approach

The model is constructed, trained and validated using python through a set of experimental data collected from the literature. The model’s architecture comprises an input layer containing seven neurons representing concrete constituents and two neurons as the output layer to represent the 7- and 28-days compressive strength. The model showed high performance through multiple metrics, including mean squared error (MSE) of 2.41 and 2.00 for training and testing data sets, respectively.

Findings

Results showed that cement replacement with 10% FA causes a slight reduction up to 9% in the compressive strength, especially at early ages. Moreover, a decrease of nearly 40% in the 28-days compressive strength was noticed when replacing fine aggregate with 25% RFA.

Research limitations/implications

The research is limited to normal compressive strength of green concrete with a range of 25 to 40 MPa.

Practical implications

The developed model is designed in a flexible and user-friendly manner to be able to contribute to the sustainable development of the construction industry by saving time, effort and cost consumed in the experimental testing of materials.

Social implications

Green concrete containing wastes can solve several environmental problems, such as waste disposal problems, depletion of natural resources and energy consumption.

Originality/value

This research proposes a machine learning prediction model using the Python programming language to estimate the compressive strength of a green concrete mix that includes construction and demolition waste and FA. The ANN model is used to create three guidance charts through a parametric study to obtain the compressive strength of green concrete using RCA, RFA and FA replacements.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 9 January 2017

Sun-Hwa Kim, Kiwon Lee and Ann Fairhurst

Green practices have been of increasing interest to both practitioners and researchers in the hospitality context. To understand how green practices have been adopted in…

4174

Abstract

Purpose

Green practices have been of increasing interest to both practitioners and researchers in the hospitality context. To understand how green practices have been adopted in the industry, a systematic review of recent hospitality literature is essential. The purpose of this paper is to identify research domains and formulate a definition of green practices that accurately reflects the current hospitality context.

Design/methodology/approach

The authors reviewed 146 articles on green practices published between 2000 and 2014 in eight hospitality journals. Using content analysis, multiple researchers coded the articles using a standardized coding scheme.

Findings

The number of articles on green practices in the hospitality context has been growing. Most studies focus on managers and the lodging sector. The authors identify three research domains for green practices in the hospitality literature: organizational, operational and strategic. They define a green practice as a value-added business strategy that benefits hospitality operations that engage in environmental protection initiatives.

Research limitations/implications

This framework may help practitioners develop green practice strategies and governments develop effective green policies and reinforce activities aimed at environmental protection. It provides theoretical foundation for future research related to green practices in the hospitality industry. Overall, hospitality stakeholders can use this framework to understand the implementation and effects of green practices.

Originality/value

The authors create an organizational framework for a fragmented body of literature by identifying three research domains for green practices based on a systematic review of recently published hospitality articles (2000-2014). They challenge existing definitions of green practices and propose an accurate definition tailored to the hospitality context.

Details

International Journal of Contemporary Hospitality Management, vol. 29 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 30 June 2022

Miguel Ángel Caminero, Ana Romero Gutiérrez, Jesús Miguel Chacón, Eustaquio García-Plaza and Pedro José Núñez

The extrusion-based additive manufacturing method followed by debinding and sintering steps can produce metal parts efficiently at a relatively low cost and material…

Abstract

Purpose

The extrusion-based additive manufacturing method followed by debinding and sintering steps can produce metal parts efficiently at a relatively low cost and material wastage. In this study, 316L stainless-steel metal filled filaments were used to print metal parts using the extrusion-based fused filament fabrication (FFF) approach. The purpose of this study is to assess the effects of common FFF printing parameters on the geometric and mechanical performance of FFF manufactured 316L stainless-steel components.

Design/methodology/approach

The microstructural characteristics of the metal filled filament, three-dimensional (3D) printed green parts and final sintered parts were analysed. In addition, the dimensional accuracy of the green parts was evaluated, as well as the hardness, tensile properties, relative density, part shrinkage and the porosity of the sintered samples. Moreover, surface quality in terms of surface roughness after sintering was assessed. Predictive models based on artificial neural networks (ANNs) were used for characterizing dimensional accuracy, shrinkage, surface roughness and density. Additionally, the response surface method based on ANNs was applied to represent the behaviour of these parameters and to identify the optimum 3D printing conditions.

Findings

The effects of the FFF process parameters such as build orientation and nozzle diameter were significant. The pore distribution was strongly linked to the build orientation and printing strategy. Furthermore, porosity decreased with increased nozzle diameter, which increased mechanical performance. In contrast, lower nozzle diameters achieved lower roughness values and average deviations. Thus, it should be noted that the modification of process parameters to achieve greater geometrical accuracy weakened mechanical performance.

Originality/value

Near-dense 316L austenitic stainless-steel components using FFF technology were successfully manufactured. This study provides print guidelines and further information regarding the impact of FFF process parameters on the mechanical, microstructural and geometric performance of 3D printed 316L components.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 1 August 1999

Jaroslav Mackerle

This paper gives a bibliographical review of the finite element methods (FEMs) applied to the analysis of ceramics and glass materials. The bibliography at the end of the…

2083

Abstract

This paper gives a bibliographical review of the finite element methods (FEMs) applied to the analysis of ceramics and glass materials. The bibliography at the end of the paper contains references to papers, conference proceedings and theses/dissertations on the subject that were published between 1977‐1998. The following topics are included: ceramics – material and mechanical properties in general, ceramic coatings and joining problems, ceramic composites, ferrites, piezoceramics, ceramic tools and machining, material processing simulations, fracture mechanics and damage, applications of ceramic/composites in engineering; glass – material and mechanical properties in general, glass fiber composites, material processing simulations, fracture mechanics and damage, and applications of glasses in engineering.

Details

Engineering Computations, vol. 16 no. 5
Type: Research Article
ISSN: 0264-4401

Keywords

Content available
Book part
Publication date: 19 March 2019

Sadia Samar Ali, Rajbir Kaur and Jose Antonio Marmolejo Saucedo

Abstract

Details

Best Practices in Green Supply Chain Management
Type: Book
ISBN: 978-1-78756-216-5

Article
Publication date: 4 February 2021

Vinicius Luiz Pacheco, Lucimara Bragagnolo and Antonio Thomé

The purpose of this article is to analyze the state-of-the art in a systematic way, identifying the main research groups and their related topics. The types of studies…

286

Abstract

Purpose

The purpose of this article is to analyze the state-of-the art in a systematic way, identifying the main research groups and their related topics. The types of studies found are fundamental for understanding the application of artificial neural networks (ANNs) in cemented soils and the potential for using the technique, as well as the feasibility of extrapolation to new geotechnical or civil and environmental engineering segments.

Design/methodology/approach

This work is characterized as being bibliometric and systematic research of an exploratory perspective of state-of-the-art. It also persuades the qualitative and quantitative data analysis of cemented soil improvement, biocemented or microbially induced calcite precipitation (MICP) soil improvement by prediction/modeling by ANN. This study sought to compile and study the state of the art of the topic which possibilities to have a critical view about the theme. To do so, two main databases were analyzed: Scopus and Web of Science. Systematic review techniques, as well as bibliometric indicators, were implemented.

Findings

This paper connected the network between the achievements of the researches and illustrated the main application of ANNs in soil improvement prediction, specifically on cemented-based soils and biocemented soils (e.g. MICP technique). Also, as a bibliometric and systematic review, this work could achieve the key points in the absence of researches involving soil-ANN, and it provided the understanding of the lack of exploratory studies to be approached in the near future.

Research limitations/implications

Because of the research topic the article suggested other applications of ANNs in geotechnical engineering, such as other tests not related to geomechanical resistance such as unconfined compression test test and triaxial test.

Practical implications

This article systematically and critically presents some interesting points in the direction of future research, such as the non-approach to the use of ANNs in biocementation processes, such as MICP.

Social implications

Regarding the social environment, the paper brings approaches on methods that somehow mitigate the computational use, or elements necessary for geotechnical improvement of the soil, thereby optimizing the same consequently.

Originality/value

Neural networks have been studied for a long time in engineering, but the current computational power has increased the implementation for several engineering applications. Besides that, soil cementation is a widespread technique and its prediction modes often require high computational strength, such parameters can be mitigated with the use of ANNs, because artificial intelligence seeks learning from the implementation of the data set, reducing computational cost and increasing accuracy.

Details

Engineering Computations, vol. 38 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 29 May 2009

Haitao Yin and Chunbo Ma

In recent years, “trade up” argument has gained momentum. It argues that international integration can benefit developing countries' environments by fostering the adoption…

2004

Abstract

Purpose

In recent years, “trade up” argument has gained momentum. It argues that international integration can benefit developing countries' environments by fostering the adoption of voluntary environmental standards, such as International Organization for Standardization (ISO) 14001 certification. Based on this argument, a social marketing program that encourages greenness among buyers, especially downstream industrial buyers (for example, auto industry) in developed countries could motivate firms in developing countries go green. The purpose of this paper is to provide an investigation on whether “trade up” is a real hope, and what is required to make it real.

Design/methodology/approach

Theoretical modeling and case studies.

Findings

This paper finds that international trade does gear up the adoption of ISO 14001 standards in China through increasing pressures from international green customers. However, our analyses suggest that the adoption of ISO 14001 certification does not necessarily improve firms' compliance with existing environmental regulations in China. The actual impact depends on how stringently environmental agency carries out inspections. We also find that in China, ISO 14001 certification motivates little, if any, environmental performance improvement beyond bottom‐line environmental regulations.

Research limitations/implications

This finding suggests that the “trade up” argument as well as a social marketing strategy targeting international buyers (including downstream industries) need to be scrutinized carefully before being used to guide practice.

Originality/value

Few efforts have been made to explore the actual impacts of ISO 14001 certification in developing countries. This paper fills this gap. It provides empirical support for Andreasen's argument that social marketing should be applied more broadly to achieve the desired impacts.

Details

International Marketing Review, vol. 26 no. 3
Type: Research Article
ISSN: 0265-1335

Keywords

Article
Publication date: 5 April 2022

Jisun Kim, Hyun-Soo Woo, Rachel Balven and Glenn Hoetker

Decades of research offer mixed results regarding the relationship between green product strategies and corporate financial performance. On the one hand, many scholars put…

Abstract

Purpose

Decades of research offer mixed results regarding the relationship between green product strategies and corporate financial performance. On the one hand, many scholars put forward green product strategies as a source of competitive advantage and in turn enhance financial performance. On the other hand, some studies suggest the opposite – that green product strategies may encounter managerial difficulties or are too costly, consequently leading to meager, if any, financial gain. This study explores cross-country contextual differences as a contingency to resolve this inconsistency. Thus, the research question is, “Do stakeholders of a country affect the link between green product strategies and financial performance?”

Design/methodology/approach

Using a meta-analytic approach, the authors examine three country-level contingencies related to stakeholders: the impact of regulatory (stringency of environmental regulators), economic (consumer economic wealth) and political conditions (democratic vs. authoritarian governments) of a country in which the effects of a green product strategy on financial performance may vary.

Findings

Consistent with our predictions, the meta-analysis of 26 studies published over a 20-year period reveals that green products positively relate to financial performance in countries with lax environmental regulation, low consumer economic status and authoritarian regimes.

Originality/value

The authors applied both (natural) resource-based and resource dependence theories by focusing on the interactions between firms' internal resources/capabilities and the external resources that firms can access. By doing so, the study adds to our understanding of stakeholders as resource providers to enhance financial benefits of green product strategies and provide insight into key boundary conditions of the link.

Details

Journal of Strategy and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-425X

Keywords

1 – 10 of over 3000