scholarly journals Blockchain drivers to achieve sustainable food security in the Indian context

2021 ◽  
Author(s):  
Vinay Surendra Yadav ◽  
A. R. Singh ◽  
Rakesh D. Raut ◽  
Naoufel Cheikhrouhou
Keyword(s):  
Decision Making ◽  
Food Security ◽  
Matrix Multiplication ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Decision Making ◽  
Sustainable Food ◽  
Governmental Organizations ◽  
Blockchain Technology ◽  
Indian Context ◽  
Agricultural Applications

AbstractBlockchain has the potential to improve sustainable food security due to its unique features like traceability, decentralized and immutable database, and smart contract mechanisms. However, blockchain technology is still in the early stages of adoption in particular in agricultural applications. In this context, this article aims to identify blockchain drivers to achieve sustainable food security in the Indian context and model them using an integrated MCDM (Multiple Criteria Decision Making) approach. The blockchain adoption drivers are identified through an exhaustive literature review and opinions from domain experts from industry, academia, and Agriculture Supply Chain (ASC) stakeholders. Subsequently, the integrated MCDM approach is developed by combining Total Interpretive Structural Modelling (TISM) and Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), which does not only investigate the interrelation between the identified constructs and builds hierarchy but also determines the intensity of the causal interrelationships. At a later stage, Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) is used to cluster the identified drivers to evaluate the importance of each driver. The results reveal that Traceability, Real-time information availability to agro-stakeholder, and Decentralized and immutable database are the most significant drivers. Policymakers, governmental organizations and other relevant stakeholders may utilize the information about the interrelationship between these drivers and their influential power, to frame suitable strategies for enhancing the adoption rate of blockchain in the Indian ASC.

scholarly journals Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model

2019 ◽  
Vol 11 (6) ◽  
pp. 1754 ◽  
Author(s):  
Jun Dong ◽  
Dongran Liu ◽  
Dongxue Wang ◽  
Qi Zhang
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Sustainable Development ◽  
Influencing Factors ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Actual Problem ◽  
Five Dimensions ◽  
Fuzzy Delphi

With the deepening reform of the power market, the external environment of China’s power industry is going through a huge change. China’s traditional power generation groups (TPGGs), with assets all over the country, are, due to a lack of market awareness about energy policies, facing serious challenges in developing competitive advantages, improving power transaction modes, optimizing profit models, and even realizing basic corporate strategies. In this study, we focus on identifying the key factors influencing sustainable development in an unprecedented market environment for TPGGs, so as to achieve overall sustainable development for the whole power generation sector in China. A hybrid framework based on Multiple-Criteria Decision-Making (MCDM) was proposed to recognize the key influencing factors under vague rule conditions. We developed a novel method combining three different MCDM methods with triangular fuzzy numbers (TFNs), fuzzy Delphi, fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), and Analytic Network Process (ANP), to cover uncertainty and make the problem-solving approach closer to the actual problem. A series of analyses indicate that the final 14 factors covering the five dimensions are considered to be important factors in the sustainable development of TPGGs. Based on the results, it can be said that “Gross energy margin” and “Pricing bidding strategy” dominate the impacts of TPGG’s sustainable development. Finally, we give some advice relating to practical measures to help TPGGs achieve sustainable development in the market-oriented industry environment.

Modelling internet of things driven sustainable food security system

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harpreet Kaur
Keyword(s):  
Food Security ◽  
Internet Of Things ◽  
Policy Implementation ◽  
Food Production ◽  
Security System ◽  
Working Environment ◽  
Global Dynamics ◽  
Sustainable Food ◽  
Content Type ◽  
Indian Context

Purpose The purpose of this paper is to model the sustainable food security system using various technologies driving internet of things (IoT). The right to food is a fundamental right of humans. With increasing population and urbanization, less land is being used for agricultural purposes. In addition, the climate change due to global warming often leads to frequent disasters such as droughts and floods, adversely affecting the food production. This leads to increased levels of poverty and hunger. Ensuring food security has become the prime agenda for all the policymakers and government bodies across the world. With changing global dynamics, traditional ways of ensuring food security will not be sufficient alone. Design/methodology/approach There is a need to develop a sustainable food security system that not only focusses on food production but also equally emphasizes on the efficacy of food distribution and reducing food wastage. In this digital age, the emerging disruptive technologies like Block chain, robotics, big data analytics, and cloud computations, etc., are increasingly changing the functioning of various sectors, giving rise to IoT-based working environment. The policymakers are also exploring these technologies to maximize their outreach so as to benefit the larger set of population and to gain visualization and control over policy implementation using IoT. This paper attempts to model the sustainable food security system using various technologies driving IoT. It also studies the interrelationship among various technologies and their application in various levels of policy implementation. The methodology used in the paper is fuzzy-TISM, which not only provides the causal relationship among two technologies but also provides the magnitude of the cause‒effect relationship and the hierarchical framework for the complex problem. Findings The paper is addressed to the design of sustainable food security system in the Indian context wherein government ensures food security for all, using public distribution system (PDS). Social implications The paper is addressed to the design of sustainable food security system in Indian context wherein government ensures food security for all, using PDS. Originality/value This study is a novel attempt to integrate the IoT into the design of the PDS to ensure food security. The enabling factors for IOT are modelled using Fuzzy-TISM.

scholarly journals Exploring Green Marketing Orientations toward Sustainability the Hospitality Industry in the COVID-19 Pandemic

2021 ◽  
Vol 13 (8) ◽  
pp. 4348
Author(s):  
Chun-Yi Ho ◽  
Bi-Huei Tsai ◽  
Chiao-Shan Chen ◽  
Ming-Tsang Lu
Keyword(s):  
Decision Making ◽  
Hospitality Industry ◽  
Multiple Criteria Decision Making ◽  
Green Marketing ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Fuzzy Dematel ◽  
Brand Orientation ◽  
Environmental Orientation

The effects of green marketing orientations for increasing the competitive advantage and improving the sustainability of the hospitality industry during the COVID-19 pandemic are receiving more attention. As the hospitality industry attempts to assimilate green marketing and move in the path of sustainable development, administrators need to expand their efforts for improving natural environmental orientation (NEO), market orientation, resource orientation, and brand orientation by applying their green marketing orientations to hospitality’s strategies during the COVID-19 pandemic. Only few studies have examined the improvement of green marketing orientations. The objective of the research is to address this issue, applying the methods of fuzzy mixture MCDM (multiple criteria decision-making), with fuzzy decision-making trials and an evaluation laboratory (DEMATEL), and fuzzy DEMATEL-based ANP (fuzzy DANP) to inspect the feedback and interdependent issues among numerous elements/dimensions of green marketing orientations. In an uncertain environment, an empirical case study of the hospitality industry is shown to demonstrate the recommended combined approaches and, finally, to state the best enhancement approaches for administrators. This result shows that the natural environmental orientation is the most important factor.

scholarly journals Fuzzy Similarity in Multicriteria Decision-Making Problem Applied to Supplier Evaluation and Selection in Supply Chain Management

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Pasi Luukka
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Similarity Criteria ◽  
Fuzzy Decision Making ◽  
Ideal Solution ◽  
Supply Chain System ◽  
Fuzzy Similarity

It is proposed to use fuzzy similarity in fuzzy decision-making approach to deal with the supplier selection problem in supply chain system. According to the concept of fuzzy TOPSIS earlier methods use closeness coefficient which is defined to determine the ranking order of all suppliers by calculating the distances to both fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. In this paper we propose a new method by doing the ranking using similarity. New proposed method can do ranking with less computations than original fuzzy TOPSIS. We also propose three different cases for selection of FPIS and FNIS and compare closeness coefficient criteria and fuzzy similarity criteria. Numerical example is used to demonstrate the process. Results show that the proposed model is well suited for multiple criteria decision-making for supplier selection. In this paper we also show that the evaluation of the supplier using traditional fuzzy TOPSIS depends highly on FPIS and FNIS, and one needs to select suitable fuzzy ideal solution to get reasonable evaluation.

scholarly journals Sustainable food security decision-making: An agent-based modelling approach.

2020 ◽  
Vol 255 ◽  
pp. 120296 ◽  
Author(s):  
Sarah Namany ◽  
Rajesh Govindan ◽  
Luluwah Alfagih ◽  
Gordon McKay ◽  
Tareq Al-Ansari
Keyword(s):  
Decision Making ◽  
Food Security ◽  
Sustainable Food ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Modelling Approach

scholarly journals Discussion on fuzzy decision making based on fuzzy number and compositional rule of inference

2015 ◽  
Vol 25 (2) ◽  
pp. 271-282 ◽  
Author(s):  
Ping-Teng Chang ◽  
Lung-Ting Hung
Keyword(s):  
Decision Making ◽  
Medical Diagnosis ◽  
Fuzzy Numbers ◽  
Fuzzy Theory ◽  
Matrix Multiplication ◽  
Original Method ◽  
Fuzzy Decision Making ◽  
Stochastic Matrices ◽  
Fuzzy Decision ◽  
Multiplication Operation

This paper provides an improved decision making approach based on fuzzy numbers and the compositional rule of inference by Yao and Yao (2001). They claimed to have created a new method that combines statistical methods and fuzzy theory for medical diagnosis. Currently, numerous papers have cited that work. In this study, we show that if we follow their matrix multiplication operation approach, we will obtain the same result as the original method proposed by Klir and Yuan (1995). Owing to a wellknown property of (row) stochastic matrices, if the multiplication is closed, the fuzzy and defuzzy procedure of Yao and Yao (2001) is redundant. Therefore, we advise researchers to think twice before applying this approach to medical diagnosis.

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