HIERARCHICAL STRUCTURE AND CAUSAL RELATIONSHIPS OF BARRIERS TO SOCIAL DIMENSION IN SSCM VIA NOVEL DEMATEL-ISM INTEGRATED APPROACH

2021 ◽  
Vol 9 (1) ◽  
pp. 0-0
Author(s):  
Jih-Kuang Chen
Keyword(s):  
Hierarchical Structure ◽  
Integrated Approach ◽  
Economic Benefits ◽  
Government Support ◽  
Social Dimension ◽  
Causal Relationships ◽  
Market Demand ◽  
Bottom Line ◽  
Interpretive Structural Modeling ◽  
Integrated Method

Abstract: Sustainable Supply Chain Management (SSCM) encompasses a Triple Bottom Line (TBL) consisting of : a) economic benefits, b)environmental protection, and c) social responsibility. Previous studies have focused solely on profitability or environmental dimensions while generally neglecting the social dimension. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) techniques can identify causal relationships and hierarchical structure among factors, two techniques are commonly used separately or also may be integrated per their common characteristics with a relatively small computational burden. However, conventional DEMATEL-ISM integrated method has notable drawbacks and may not provide accurate analysis results. The purpose of the present study is to suggest the novel DEMATEL-ISM integrated approach to improve the shortage of conventional DEMATEL-ISM integrated method as well as investigate the hierarchical structure and causal relationship of social dimension barriers for SSCM implementation. A series of 13 barriers to SSCM social dimension implementation were identified and placed into a five-layer hierarchical structure. The most important barriers were found in addition to lack of government support and low market demand for sustainable products, and causal relationships among barriers were also identified for the Guangdong-Hong Kong-Macao Greater Bay Area of China. Key words: SSCM social dimension; DEMATEL-ISM integrated; Hierarchical structure and causal relationships

scholarly journals MODELING THE BARRIERS OF SOCIAL DIMENSION IN SUSTAINABLE SUPPLIER CHAIN MANAGEMENT

10.6036/10282 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 12-12
Author(s):  
Jih-Kuang Chen Chen
Keyword(s):  
Supply Chain ◽  
Social Responsibility ◽  
Environmental Protection ◽  
Triple Bottom Line ◽  
Economic Benefits ◽  
Social Dimension ◽  
Bottom Line ◽  
Chain Management ◽  
Core Business ◽  
Supplier Chain

In the supply chain, a core business and its upstream and downstream companies systematically coordinate the Triple Bottom Line (TBL) to maximize economic benefits, social responsibility, and environmental protection from a strategic height.

scholarly journals Understanding Interdependencies among Social Sustainability Evaluation Criteria in an Emerging Economy

2020 ◽  
Vol 12 (5) ◽  
pp. 1934 ◽  
Author(s):  
Amin Vafadarnikjoo ◽  
Hadi Badri Ahmadi ◽  
Benjamin Thomas Hazen ◽  
James J. H. Liou
Keyword(s):  
Social Issues ◽  
Social Sustainability ◽  
Regulatory Compliance ◽  
Evaluation Framework ◽  
Social Dimension ◽  
Sustainability Evaluation ◽  
Bottom Line ◽  
Interpretive Structural Modeling ◽  
Fuzzy Matrix ◽  
Sustainability Criteria

Organizations need to consider the triple bottom line (3BL) model of sustainability to maintain competitiveness in global markets. Of 3BL, environmental and economic sustainability pillars are more often discussed, as they are most directly related to a firm’s bottom line and regulatory compliance. Unfortunately, social sustainability receives relatively little attention even though it remains a significant threat to organizational sustainment, particularly in emerging economies. This study builds upon a social sustainability evaluation framework to investigate the interrelationships among social sustainability criteria in an effort to better understand how to improve social sustainability performance. A unique hybrid of interpretive structural modeling (ISM) and hesitant fuzzy matrix of cross impact multiplications applied to classification (HF-MICMAC) methodology is introduced and employed to determine the interrelationships (drivers and dependences) among social sustainability criteria. Then, a manufacturing company is used as the backdrop to test the efficacy of the expanded framework. The findings can aid industry decision-makers, especially in developing countries, to better understand and manage social issues, improve social dimension of sustainability, enhance the sustainability in operations and shift towards sustainable development.

Labor productivity in the construction industry

2018 ◽  
Vol 25 (1) ◽  
pp. 334-356 ◽  
Author(s):  
Shobhit Chaturvedi ◽  
Jitesh J. Thakkar ◽  
Ravi Shankar
Keyword(s):  
Construction Industry ◽  
Labor Productivity ◽  
Construction Projects ◽  
Integrated Approach ◽  
Evaluation Framework ◽  
Causal Relationships ◽  
Bottom Line ◽  
Related Factors ◽  
Content Type ◽  
Productivity Assessment

Purpose As the construction industry undertakes complex and innovative projects, improving the labor productivity that helps accomplish the triple bottom line dimensions (time, schedule and performance) assumes greater importance. It is of even greater importance in developing countries like India where most of building construction takes place on a manual basis. In response, the purpose of this paper is to develop an evaluation framework for assessing the labor productivity in the construction industry. The application of the framework is demonstrated for the case of the Indian construction industry and key insights are reported. Design/methodology/approach The literature review and expert survey has helped to identify 4 main dimensions and 14 different factors affecting labor productivity in the construction industry. An application of Decision-Making Trial and Evaluation Laboratory was deployed to investigate into the causality of labor productivity dimensions. Findings The research delivers a quantitative labor productivity assessment framework for evaluating causal relationships among the factors influencing labor productivity in the construction industry. The result obtained for a typical case of the Indian construction industry showed that the safety at construction site has a profound effect on labor-related factors. Originality/value The paper makes two contributions in the domain of labor productivity assessment in the construction industry. First, it proposes an evaluation framework to investigate into the causal relationships among the labor productivity factors. This proposed framework is robust and can be used to compare the performance of different construction projects using an integrated approach proposed by this research. Such exploratory analysis would assist benchmarking studies. Second, it undertakes an empirical investigation for the Indian construction industry to develop key managerial insights and extend policy-related recommendations.

scholarly journals A Unique Transdisciplinary Engineering-Based Integrated Approach for the Design of Temporary Refugee Housing Using Kano, HOQ/QFD, TRIZ, AD, ISM and DSM Tools

Designs ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 31
Author(s):  
Daniel Moran ◽  
Atila Ertas ◽  
Utku Gulbulak
Keyword(s):  
Rural Areas ◽  
Social Issues ◽  
Integrated Approach ◽  
Interpretive Structural Modeling ◽  
Design Problems ◽  
Design Structure ◽  
Function Design ◽  
Complex Engineering ◽  
Design Conflicts

The continued displacement of refugees from their homes and homelands (now greater than 50 million people worldwide) places increased focus and attention on evolving the designs of temporary housing that is available to be provided to the refugee population, especially in rural areas where housing does not already exist and must be constructed in very little time. Complex engineering problems involving social issues, such as this case study, benefit from the use of Integrated Transdisciplinary (TD) Tools (ITDT) to effectively and efficiently address the design questions related to them. The integrated use of TD Tools such as Kano Analysis, KJ Diagrams, Critical to Quality (CTQ), House of Quality (HOQ)/Quality Function Design (QFD), Theory of Inventive Problem Solving (TRIZ), Axiomatic Design (AD), Interpretive Structural Modeling (ISM), and Design Structure Matrix (DSM) through an end-to-end unique design process leads to innovation and elimination of design conflicts for especially complicated design problems. The objective of this study is to examine the design of temporary refugee housing using integrated TD tools mentioned above. This research concludes that the use of the ITDT approach provides an innovative, decoupled design.

Management of Abstract Algebra Concepts Based on Knowledge Structure

2013 ◽  
Vol 284-287 ◽  
pp. 3537-3542
Author(s):  
Chin Chun Chen ◽  
Yuan Horng Lin ◽  
Jeng Ming Yih
Keyword(s):  
Mahalanobis Distance ◽  
Clustering Algorithm ◽  
Fuzzy Theory ◽  
Clustering Algorithms ◽  
Knowledge Structures ◽  
Interpretive Structural Modeling ◽  
Fuzzy C Means ◽  
Integrated Method ◽  
Combined Algorithm ◽  
Fuzzy C Means Algorithm

Knowledge Management of Mathematics Concepts was essential in educational environment. The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modeling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. Fuzzy clustering algorithms are based on Euclidean distance function, which can only be used to detect spherical structural clusters. A Fuzzy C-Means algorithm based on Mahalanobis distance (FCM-M) was proposed to improve those limitations of GG and GK algorithms, but it is not stable enough when some of its covariance matrices are not equal. A new improved Fuzzy C-Means algorithm based on a Normalized Mahalanobis distance (FCM-NM) is proposed. Use the best performance of clustering Algorithm FCM-NM in data analysis and interpretation. Each cluster of data can easily describe features of knowledge structures. Manage the knowledge structures of Mathematics Concepts to construct the model of features in the pattern recognition completely. This procedure will also useful for cognition diagnosis. To sum up, this integrated algorithm could improve the assessment methodology of cognition diagnosis and manage the knowledge structures of Mathematics Concepts easily.

Comment on “Populism, Paranoia, and the Politics of Free Silver”

2011 ◽  
Vol 25 (2) ◽  
pp. 190-199 ◽  
Author(s):  
Richard Bensel
Keyword(s):  
Political Development ◽  
American Political Development ◽  
Causal Relationships ◽  
Bottom Line ◽  
Significant Addition ◽  
Different Levels ◽  
The Way

Let me begin with the bottom line: Samuel DeCanio has addressed a very important topic, skillfully crafted an argument, and marshaled an impressive body of evidence behind his thesis. The result is a significant addition to the literature on American political development on several different levels. And that is so despite the fact that I believe his interpretation extends beyond the evidence in some respects. This comment addresses both these extensions and, as a collateral objective, suggests that the way in which we reconstruct political situations and causal relationships is inevitably an art, not a science.

scholarly journals Integrated method for the measurement of trace atmospheric bases

2011 ◽  
Vol 4 (5) ◽  
pp. 6007-6040 ◽  
Author(s):  
D. Key ◽  
J. Stihle ◽  
J.-E. Petit ◽  
C. Bonnet ◽  
L. Depernon ◽  
...  
Keyword(s):  
Nitrogen Cycle ◽  
Field Measurements ◽  
Ambient Air ◽  
Integrated Approach ◽  
Urban Park ◽  
Sampling Strategies ◽  
Road Vehicles ◽  
Integrated Method ◽  
The Many ◽  
Global Nitrogen Cycle

Abstract. Nitrogenous atmospheric bases are thought to play a key role in the global nitrogen cycle, but their sources, transport, and sinks remain poorly understood. Of the many methods available to measure such compounds in ambient air, few meet the current need of being applicable to the complete range of potential analytes and fewer still are convenient to implement using instrumentation that is standard to most laboratories. In this work, an integrated approach to measuring trace atmospheric nitrogenous bases has been developed and validated. The method uses a simple acid scrubbing step to capture and concentrate the bases as their phosphite salts, which then are derivatized and analyzed using GC/MS and/or LC/MS. The advantages of both techniques in the context of the present measurements are discussed. The approach is sensitive, selective, reproducible, as well as convenient to implement and has been validated for different sampling strategies. The limits of detection for the families of tested compounds are suitable for ambient measurement applications, as supported by field measurements in an urban park and in the exhaust of on-road vehicles.

An ageing well collaboration: opportunity or wicked problem

2019 ◽  
Vol 40 (1) ◽  
pp. 18-27
Author(s):  
Lois Marjorie Hazelton ◽  
Laurence Murray Gillin ◽  
Fiona Kerr ◽  
Alison Kitson ◽  
Noel Lindsay
Keyword(s):  
Policy Development ◽  
Independent Living ◽  
Integrated Approach ◽  
Business Case ◽  
Economic Benefits ◽  
Added Value ◽  
Wicked Problem ◽  
Wealth Creation ◽  
Content Type ◽  
Collaborative Structure

Purpose Within the “wicked” concept of ageing, this paper aims to primarily model an integrated approach to identifying and evaluating opportunities that deliver innovative outcomes in Ageing Well Practice, Health and Economic Policy and Research Actions using a collaborative and entrepreneurial mindset. The strategic focus is on a “Boomer” (user)-driven and facilitated Network – that brings together health professionals, research specialists, technologists, ageing well providers, “encore” career specialists, life-style providers, community groups, wealth creation specialists and industry innovators to streamline the progression of identified concepts to valued users and markets and enhance the economy. Design/methodology/approach Using the unit of analysis for innovation, i.e. the “added-value” as perceived by the user and not simply a product or a technology, the identified “opportunity-outcome” will embed a new service concept or intervention, which embraces and promotes ageing well, independent living or resident-centred care in the community and delivers direct and indirect economic benefits. Findings The authors model a point of differentiation in facilitating existing ageing well policies in the community, through a focus on an integrated and multi-dimensional collaborative framework that can deliver user value and contributes to community and economic benefits. Research limitations/implications Generalising results without a commercial business case from this single strategic viewpoint requires caution. The positive outcomes from this innovation collaborative concept can be used to guide further policy development and business investment in ageing well needs. Practical implications Such an integrated innovation collaborative structure provides the capacity to identify ageing well opportunities, to contract enterprises, both SMEs’ and larger companies, for development of the opportunities into user-valued outcomes, to network venture resources and deliver these outcomes to a sustainable market of ageing well citizens. Social implications The Ageing Well Innovation collaborative framework identifies practical ways to integrate new concepts of ageing participation to be realised by the increasing number of “Boomers”. It provides a self-managing process for linking individuals, public and private parties to maximise information and ideas flow, and engagement of the skilled resources in the Boomer group. Originality/value The innovation collaborative structure proposed is not simply novel but is a targeted focus on entrepreneurship and innovation applied strategically to the needs of ageing boomers and community needs. The added-value is in the demonstrated enhancement to effective innovation outcomes in community ageing and the economy.

scholarly journals An Efficient PET-MRI Medical Image Fusion based on IHS-NSCT-PCA Integrated Method

2019 ◽  
Vol 9 (2) ◽  
pp. 2073-2079
Keyword(s):  
Structural Data ◽  
Fusion Rule ◽  
Integrated Approach ◽  
Disease Diagnosis ◽  
Weighted Averaging ◽  
Fusion Algorithm ◽  
Integrated Method ◽  
Histogram Matching ◽  
Multiple Imaging ◽  
Fused Image

Merging of multiple imaging modalities leads to a single image that acquire high information content. These find useful applications in disease diagnosis and treatment planning. IHS-PCA method is a spatial domain approach for fusion that offersfinestvisibility but demands vast memory and it lacks steering information. We propose an integrated approach that incorporates NSCT combined with PCA utilizing IHS space and histogram matching. The fusion algorithm is applied on MRI with PET image and improved functional property was obtained. The IHS transform is a sharpening technique that converts multispectral image from RGB channels to Intensity Hue and Saturation independent values. Histogram matching is performed with intensity values of the two input images. Pathological details in images can be emphasized in multi-scale and multi-directions by using PCA withNSCT. Fusion rule applied is weighted averaging andprincipal components are used for dimensionality reduction. Inverse NSCT and Inverse IHS are performed so as to obtain the fused image in new RGB space. Visual and subjective investigation is compared with existing methods which demonstrate that our proposed technique gives high structural data content with high spatial and spectral resolution compared withearlier methods.

scholarly journals Ukrainian Migration Aspirations towards Germany: Analysis and Development Scenarios

2021 ◽  
Vol 24 (1) ◽  
pp. 65-84
Author(s):  
Vitalii Boiko ◽  
Olha Mulska ◽  
Ihor Baranyak ◽  
Olha Levytska
Keyword(s):  
Migrant Workers ◽  
German Economy ◽  
Migration Policy ◽  
Integrated Approach ◽  
Multiple Regression Model ◽  
Economic Benefits ◽  
German Population ◽  
Development Scenarios ◽  
Forecasting Method ◽  
And Migration

Based on the multiple regression model and scenario approach to forecasting, the article estimates the Ukrainian migration aspirations towards Germany (the scale of migration, the economic activity of migrants, and their economic benefits). It is argued that major transformations in the gender-age structure of the German population may cause a demographic crisis and labour market imbalances. Our projections indicate the growing role of foreign human resources in the German economy. When modeling the scale of emigration from Ukraine, an integrated approach is applied, considering not only trends of pull-push factors but also special aspects of the German migration policy and the outflow of 8–10 million Ukrainian migrant workers. Given the poor statistical data on the scale of labour emigration needed for constructing reliable econometric models, the use of expert forecasting method remains the most optimal technique for assessing potential migration flows and migration systems.

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