Mind Your Words, Mind Your Audience: Effect of Comprehension on Crowdfunding Success with Varying Language Complexity and Investment Timing

2021 ◽  
Author(s):  
Wei Hu ◽  
Xin Li ◽  
J. Leon Zhao
2010 ◽  
Vol 27 (02) ◽  
pp. 271-286 ◽  
Author(s):  
RYUTA TAKASHIMA ◽  
MAKOTO GOTO ◽  
MOTOH TSUJIMURA

We consider an optimal investment problem when a firm such as an electric power company has the operational flexibility to expand and contract capacity with fixed cost. This problem is formulated as an impulse control problem combined with optimal stopping. Consequently, we obtain optimal investment timing, optimal capacity expansion and contraction timing, and the investment value. We also show investment, capacity expansion and contraction rule are influenced by the price volatility and the initial capacity is also influenced by the ratio between base-load plant and peak-load plant. In addition, we investigate how time lag between investment and operation influences the investment rule.


2018 ◽  
Vol 48 ◽  
pp. 771-796 ◽  
Author(s):  
Takashi Shibata ◽  
Michi Nishihara

Author(s):  
Chun-Ping Chang ◽  
Munkhnaran Duurenjargal ◽  
Zolzaya Batjargal ◽  
Shyh-Weir Tzang

Author(s):  
Sourajit Roy ◽  
Pankaj Pathak ◽  
S. Nithya

During the advent of the 21st century, technical breakthroughs and developments took place. Natural Language Processing or NLP is one of their promising disciplines that has been increasingly dynamic via groundbreaking findings on most computer networks. Because of the digital revolution the amounts of data generated by M2M communication across devices and platforms such as Amazon Alexa, Apple Siri, Microsoft Cortana, etc. were significantly increased. This causes a great deal of unstructured data to be processed that does not fit in with standard computational models. In addition, the increasing problems of language complexity, data variability and voice ambiguity make implementing models increasingly harder. The current study provides an overview of the potential and breadth of the NLP market and its acceptance in industry-wide, in particular after Covid-19. It also gives a macroscopic picture of progress in natural language processing research, development and implementation.


Sign in / Sign up

Export Citation Format

Share Document