ORCID Profile
0000-0003-4365-0313
Current Organisations
SDU
,
University of Adelaide
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Publisher: Elsevier BV
Date: 10-2022
Publisher: Springer Science and Business Media LLC
Date: 18-08-2016
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 02-2024
Publisher: WORLD SCIENTIFIC (EUROPE)
Date: 04-2023
Publisher: Elsevier BV
Date: 06-2014
Publisher: Springer Science and Business Media LLC
Date: 15-01-2022
Publisher: Informa UK Limited
Date: 08-2013
Publisher: Elsevier BV
Date: 03-2010
Publisher: Springer Science and Business Media LLC
Date: 20-01-2023
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 10-2020
Publisher: Springer Science and Business Media LLC
Date: 02-2016
DOI: 10.1038/530281B
Publisher: Springer Science and Business Media LLC
Date: 03-09-2023
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 10-2012
Publisher: Informa UK Limited
Date: 25-03-2019
Publisher: Elsevier BV
Date: 11-2014
Publisher: Elsevier BV
Date: 07-2013
Publisher: Springer Science and Business Media LLC
Date: 19-01-2023
Publisher: Elsevier BV
Date: 06-2015
Publisher: Elsevier BV
Date: 07-2022
Publisher: Springer Science and Business Media LLC
Date: 06-2014
Publisher: MDPI AG
Date: 22-08-2016
DOI: 10.3390/SU8080824
Publisher: Elsevier BV
Date: 06-2018
Publisher: Springer Science and Business Media LLC
Date: 29-11-2017
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 05-2013
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 1970
Publisher: Springer Science and Business Media LLC
Date: 03-09-2020
Publisher: Elsevier BV
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 17-04-2013
Publisher: Elsevier BV
Date: 08-2022
Publisher: Elsevier BV
Date: 06-2014
Publisher: Elsevier BV
Date: 12-2014
Publisher: Springer Science and Business Media LLC
Date: 31-03-2022
Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 02-2016
Publisher: Springer Science and Business Media LLC
Date: 10-02-2023
Publisher: Elsevier BV
Date: 09-2023
Publisher: Elsevier BV
Date: 03-2023
Publisher: Elsevier BV
Date: 09-2022
Publisher: Wiley
Date: 24-05-2022
DOI: 10.1002/BSE.3122
Abstract: One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed‐loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed‐loop supply chain. An innovative analytical multi‐step fuzzy decision‐making method is proposed to rank sustainable third‐party logistics service providers (3PLSPs). Fuzzy Decision‐Making Trial and Evaluation Laboratory (DEMATEL) is first used to evaluate the relationships among the main criteria. Then, fuzzy analytic network process (ANP) is applied to weight the determined set of criteria. In order to develop the hybrid fuzzy DEMATEL‐ANP method and to simplify the computation, the expert judgment method is used between the two techniques as a middle step to reduce the number of criteria. As many of the criteria overlap with each other on content and context, expert opinions are used to shortlist and rank the criteria. Finally, the 3PLSPs are ranked through the fuzzy complex proportional assessment (COPRAS) method. To validate the practicability and applicability of the improved decision‐making model, a household appliance case study is applied with data obtained from industry experts. In this case, five service providers are considered and ranked, while the first one gets the best score. A sensitivity analysis is performed by altering the criteria weights to validate the proposed approach, data, and the obtained results. In terms business and the environment, this study provides success critical criteria for decision‐making problems in circular economy for addressing sustainable development.
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 02-2021
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 10-03-2018
Publisher: Springer Science and Business Media LLC
Date: 16-04-2013
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 11-2016
Publisher: Informa UK Limited
Date: 21-03-2014
Publisher: Informa UK Limited
Date: 04-2013
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.JENVMAN.2017.10.019
Abstract: Considering the unique relevance of Brazilian bio ersity, this research aims to investigate the main barriers to bio ersity-based R&D and eco-design development in a leading national company which has been commended for its innovation and sustainability. The methodology for this research was based on on-location visits, in-depth interviews, and consensus building among R&D, sustainability, and quality managers. A multi-criteria decision-making (MCDM) approach was adopted through interpretive structural modelling (ISM), a method that assists decision makers to transform complex models with unclear data into structural models. Some of the most influential barriers to bio ersity-based eco-design initiatives are "lack of legal incentive", "not enough demand from the market", and "not enough available knowledge/scientific data." The most relevant barrier was "no legal incentive" from government. Consequently, managers should concentrate their efforts in tackling those barriers that may affect other barriers known as 'key barriers'. Government should work decisively toward promoting a framework of legal incentives for bio-based eco-design otherwise, metaphorically, "there is not carnival without the samba singer who pushes the rhythm". The results given here reveal the barriers for bio-based eco-design in a Brazilian leading company, and this is the first work combining ISM to barriers to bio ersity R&D and eco-design.
Publisher: Springer Science and Business Media LLC
Date: 13-11-2019
Publisher: Informa UK Limited
Date: 26-11-2008
Publisher: Emerald
Date: 02-02-2010
DOI: 10.1108/02635571011008399
Abstract: The purpose of this paper is to present an approach to identify and rank the criteria used for the supplier development using interpretative structural modeling (ISM). The paper develops a framework to analyze the interactions among the criteria such as competitive pressure, evaluation and certification system, incentives, supplier development programs, inter‐organizational communication, buyer‐supplier relationship, supplier commitment, supplier performance, asset specificity, joint action, trust, long‐term strategic goals, top management support, purchasing performance, and supplier strategic objective for the supplier development using ISM. The developed framework is illustrated using a case study taken in an automobile firm. The paper contributes to research in supply chain management (SCM) and particularly in supplier development. Research in the area of SCM has intensified in recent years for a number of reasons. Managers have now realized that actions taken by one member of the chain can influence the responsiveness, efficiency and profitability of the complete supply chain. Firms are increasingly thinking in terms of competing as part of a supply chain against other supply chains, rather than as a single firm against other in idual firms. Since the proposed framework is applied for only a single company, further studies can be done using the same framework for several companies in India. This will provide a better understanding of how the variables that influence supplier development are affected in different types of industry. Managers can use the proposed framework to develop better relationships with suppliers and to create management responses that influence and improve their relationships with them. This paper uses 15 criteria to propose a framework for the supplier development and also finds the interactions between the criteria which influence the most and the least to improve the relationship with the suppliers.
Publisher: Springer Science and Business Media LLC
Date: 18-01-2014
Publisher: Elsevier BV
Date: 11-2012
Publisher: Informa UK Limited
Date: 2013
Publisher: Elsevier BV
Date: 03-2016
Publisher: Inderscience Publishers
Date: 2015
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 05-2013
Publisher: Springer Science and Business Media LLC
Date: 18-07-2013
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 11-2014
Publisher: Elsevier BV
Date: 11-2014
Publisher: Elsevier BV
Date: 02-2016
Publisher: Springer Science and Business Media LLC
Date: 08-12-2022
Publisher: Inderscience Publishers
Date: 2015
Publisher: Elsevier BV
Date: 10-2020
Publisher: Emerald
Date: 08-05-2017
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 03-2021
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 10-2017
Publisher: Informa UK Limited
Date: 26-03-2014
No related grants have been discovered for Devika Kannan.