Markov chain analysis to identify the market share prediction of new technology: A case study of electric conversion motorcycle in Surakarta, Indonesia

2020 ◽  
Author(s):  
Maria Nindy Alif Jodinesa ◽  
Wahyudi Sutopo ◽  
Roni Zakaria
Keyword(s):  
Markov Chain ◽  
Market Share ◽  
New Technology ◽  
Markov Chain Analysis ◽  
Chain Analysis

scholarly journals Markov Chain and Techno-Economic Analysis to Identify the Commercial Potential of New Technology: A Case Study of Motorcycle in Surakarta, Indonesia

2018 ◽  
Author(s):  
Wahyudi Sutopo ◽  
Indah Kurniyati ◽  
Roni Zakaria
Keyword(s):  
Markov Chain ◽  
Economic Analysis ◽  
Market Share ◽  
New Technology ◽  
Lithium Ion ◽  
Economic Feasibility ◽  
Commercial Potential ◽  
Markov Chain Method ◽  
Technology Market

LiFePO4 (LFP) or Lithium-ion battery with its advantages compared to common current motorcycle battery is an appropriate alternative in substituting wet and dry cell battery. Huge amount of demand of motorcycle along with the battery in Indonesia also make it an interesting product for business. In order to assess the commercial potential for such a new technology, market share needs to be estimated as well as the techno-economic feasibility. Hence, market share prediction using the residents of Surakarta Region and techno-economic analysis using NPV, IRR and PBP indicators have been conducted in this study. Calculation using markov chain method shows that LFP battery tends to dominate the market after certain period. Techno-economic analysis also figures out that the commercialization is feasible in three conditions - first mover, even with market leader and equilibrium point. Therefore, there is a great commercial potential for LFP battery especially in Indonesia.

scholarly journals Assessing Changes in Soil Erosion Rates: A Markov Chain Analysis

1999 ◽  
Vol 31 (3) ◽  
pp. 611-622 ◽  
Author(s):  
Rhonda Skaggs ◽  
Soumen Ghosh
Keyword(s):  
Markov Chain ◽  
Soil Erosion ◽  
Great Plains ◽  
Markov Chain Analysis ◽  
Conservation Policies ◽  
Erosion Rates ◽  
National Resources Inventory ◽  
Long Run ◽  
Chain Analysis ◽  
Soil Erosion Rates

AbstractMarkov chain analysis (one-step and long-run) is applied to the National Resources Inventory (NRI) database to evaluate changes in wind-based soil erosion rates over time. The research compares changes in soil erosion rates between NRI sample sites with and without applied conservation practices for a random sample of Great Plains counties. No significant differences between sites are found for half of the counties evaluated. The effectiveness and efficiency of conservation policies are thus questioned in light of these research results.

Markov chain analysis of Leading Ones problem

2017 ◽  
Vol 22 (4) ◽  
pp. 443-448 ◽  
Author(s):  
Yifei Du ◽  
Kenji Aoki ◽  
Makoto Sakamoto ◽  
Hiroshi Furutani ◽  
Kunihito Yamamori
Keyword(s):  
Markov Chain ◽  
Markov Chain Analysis ◽  
Chain Analysis

262 Markov Chain Analysis of Time Dependent Changes in AMR Using the 2011 ISHLT pAMR Classification

2012 ◽  
Vol 31 (4) ◽  
pp. S95
Author(s):  
G. Snow ◽  
J. Stehlik ◽  
E.H. Hammond ◽  
K. Brunisholz ◽  
E. Gilbert ◽  
...  
Keyword(s):  
Markov Chain ◽  
Time Dependent ◽  
Markov Chain Analysis ◽  
Chain Analysis
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