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Topic Review
Digital Twin in Supply Chain and Logistics
A digital twin is a virtual representation that replicates a physical object or process over a period of time. These tools directly assist in reducing the manufacturing and supply chain lead time to produce a lean, flexible, and smart production and supply chain setting. Digital twin technology creates relatively close connectivity between both the virtual and physical worlds, allowing you to monitor and command systems and components remotely. Moreover, it is now possible to run simulation models to test and forecast resource and process-related changes in various “what-if” scenarios. Hence, organizations are now getting significant benefits from digital twin technology that assists in mapping and analyzing details related to operations performance, product and service innovation, and shorter on time delivery.
  • 1.9K
  • 17 Dec 2021
Topic Review
Intelligent Transformation of Chinese Manufacturing Enterprises
Manufacturing is a resource-consuming industry, and its green production plays a vital role in improving the environment.The dual guidance of the government and the market can help different types of production companies to carry out green production.This research mainly uses the principle of tax leverage to study how the government sets tax standards to achieve green production in the manufacturing industry.  
  • 512
  • 17 Dec 2021
Topic Review
Biomass Supply Chains in Post-COVID-19 Recovery
Researchers investigates how biomass supply chains (BSChs) for bioenergy within the broader bioeconomy could contribute to the post-COVID-19 recovery in three dimensions: boosting economic growth, creating jobs, and building more resilient and cleaner energy systems in four future scenarios, in the short term (by 2023) and long term (by 2030).
  • 751
  • 17 Dec 2021
Topic Review
Maturity Models and Sustainable Indicators A new relationship
In this study, we investigate the relationship between the sustainability indicators proposed by the Global Reporting Initiative (GRI) and the goals defined by the Sustainable Development Goals (SDGs) with the COBIT maturity model. As a result, we obtained a set of 50 indicators covering four dimensions of sustainability. In the Environmental dimension 11 indicators were observed, in Economic 06 indicators were listed, in Social 14 indicators were listed, and in the Governance dimension there were 19 indicators converging between COBIT and GRI. These 50 indicators were validated through content analysis of sustainability reports from 9 IT companies worldwide. In this analysis, it was observed that the SDGs are incorporated in the strategic goals of 7 of the 9 companies analyzed.
  • 603
  • 17 Dec 2021
Topic Review
Income Disparity between Agricultural and Non-Agricultural Households
The income disparity between agricultural and non-agricultural households has been increasing in many countries. Studies in the labor economics literature often link population aging and underemployment to low labor participation and productivity, fewer savings, and greater financial pressure on households. 
  • 654
  • 17 Dec 2021
Topic Review
Blockchain Technology and Sustainable Higher Education
Blockchain technology has an influence of motivation on collaborative work, which positively influences learning performance in Higher Education Institutions (HEI). In addition, blockchain technology is correlated with decentralisation, security and integrity, and anonymity and encryption. It can also be perceived as a consensus mechanism, rewarding students, professors, and universities as a smart contract. Therefore, this technology has been used to improve higher education. It also allows less informed people to interact with better-informed peers and mentors. 
  • 959
  • 17 Dec 2021
Topic Review
Carbon Emissions and Firm Performance
: This paper examines the effects of carbon emissions on the accounting and market-based performance of financial and non-financial firms in emerging economies. Data for 104 financial and 328 non-financial firms constituting 2591 observations operating in 22 emerging economies were collected from the Datastream database for the period 2011–2020. We applied OLS and 2SLS regression techniques to analyze the data. The results show that financial firms emit less carbon than their non-financial counterparts. The results further show that carbon emissions reduce firms’ return on equity, Tobin’s Q, Z-score, and credit rating. Our findings remain robust in different estimation techniques and alternative proxies of performance. Our results have some important policy implications for emerging economies.
  • 697
  • 17 Dec 2021
Topic Review
Sustainable Finance and COVID-19
Both the GARCH models and the event study suggest that funds with a higher ESG rating were able to outperform other funds during the COVID-19 period. These funds had a greater level of resilience and exhibited a lower level of risk contagion during the pandemic. These instruments appear to assume the role of risk protection and should be considered a means of both promoting sustainable growth and minimizing portfolio risk.
  • 630
  • 16 Dec 2021
Topic Review
Impact of the COVID-19 to the Energy Sector
In order to control the COVID-19 pandemic, the governments of the world started to implement measures regarding social distance and social contacts, including closures of cities, work and study relocations, and work suspension. The epidemical situation and the lockdown of the economy by governments in various countries caused changes in production, changes in the habits of energy consumers and other energy-related changes.
  • 550
  • 16 Dec 2021
Topic Review
Multi-Objective Optimization for Sustainable Supply Chain and Logistics
There are several methods available for modeling sustainable supply chain and logistics (SSCL) issues. Multi-objective optimization (MOO) has been a widely used method in SSCL modeling (SSCLM), nonetheless selecting a suitable optimization technique and solution method is still of interest as model performance is highly dependent on decision-making variables of the model development process. 
  • 610
  • 16 Dec 2021
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