Results 151 to 160 of about 55,395 (322)

Understanding the Association Between Bitcoin Mining and Environmental Sustainability in Light of the Sustainable Development Goals Through the DARDL and KRLS Methods

Sustainable Development, EarlyView.
ABSTRACT Assuring environmental sustainability is essential for the continuity of the ecosystem. Every sector of the economy has some degree of impact on environmental sustainability. The United Nations (UN)’ Sustainable Development Goals (SDGs) have placed these objectives within a broader global framework, offering a global plan aimed at ensuring ...
Ali Çelik, Metehan Özırmak
wiley   +1 more source

Decision‐making in entrepreneurial teams with competing economic and noneconomic goals

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary How should decision‐making be organized in entrepreneurial teams pursuing competing economic and noneconomic goals? Using a computational model, we examine how four archetypical decision‐making structures—unanimous approval, individual autonomy, majority voting, and lead entrepreneur—shape the performance of entrepreneurial ...
Jeroen Neckebrouck, Thomas Zellweger
wiley   +1 more source

Rapid Prototyping of a Text Mining Application for Cryptocurrency Market Intelligence [PDF]

, 2016
Marek Laskowski, Henry Kim
openalex   +1 more source

Teaching financial crises: A leverage experiment

Southern Economic Journal, EarlyView.
Abstract College students often struggle to understand the prevalence of asset price bubbles and the difficulty of timing asset purchases and sales. Even economics students are consistently surprised when bubbles burst. These breaks can have real macroeconomic effects, particularly when the price surge is fueled by leverage.
Lee Coppock, Daniel Harper, Charles Holt
wiley   +1 more source

Technology Infusion Analysis‐Based Research and Development Project Portfolio Valuation

Systems Engineering, EarlyView.
ABSTRACT Technology‐driven companies must invest significant resources in developing new technologies to enhance product performance, reduce costs, and maintain a competitive edge in their markets. However, resource constraints often limit the number of projects these companies can pursue within their research and development (R&D) portfolios.
Hojin Jang, Eun Suk Suh
wiley   +1 more source

Undiversity, inequity, and exclusion in supply chains: The unintended fallout of economic sanctions and consumer boycotts

Production and Operations Management, EarlyView., 2023
Abstract Economic sanctions and consumer boycotts are common tools to punish organizations for undesirable behavior and attempt to coerce them to change their actions. However, these tools occasionally spill over beyond the intended recipients and affect guiltless supply chain members, jeopardizing the principles of diversity, equity, and inclusion in ...
Timofey Shalpegin, Ajay Kumar, Tyson R. Browning   +2 more
wiley   +1 more source

Homogeneity and heterogeneity of cryptocurrencies [PDF]

arXiv, 2019
Thousands of cryptocurrencies have been issued and publicly exchanged since Bitcoin was invented in 2008. The total cryptocurrency market value exceeds 300 billion US dollars as of 2019. This paper analyzes the prices, volumes, blockchain transactions, coin difficulties and public opinion popularities of 3607 actively exchanged cryptocurrencies. We aim
arxiv  

The requirements of cryptocurrency for money, an Islamic view

Heliyon, 2020
This research aims to evaluate the suitability of cryptocurrency as money from the Islamic perspective. Money, in the Islamic perspective, has specific characteristics and requirements, such as stability and is based on assets.
Dodik Siswantoro, Rangga Handika, Aria Farah Mita   +2 more
doaj  

Transformer-based approach for Ethereum Price Prediction Using Crosscurrency correlation and Sentiment Analysis [PDF]

arXiv
The research delves into the capabilities of a transformer-based neural network for Ethereum cryptocurrency price forecasting. The experiment runs around the hypothesis that cryptocurrency prices are strongly correlated with other cryptocurrencies and the sentiments around the cryptocurrency.
arxiv  

Deep convolutional autoencoder for cryptocurrency market analysis [PDF]

arXiv, 2019
This study attempts to analyze patterns in cryptocurrency markets using a special type of deep neural networks, namely a convolutional autoencoder. The method extracts the dominant features of market behavior and classifies the 40 studied cryptocurrencies into several classes for twelve 6-month periods starting from 15th May 2013.
arxiv