An integrated reinforced learning and network competition analysis for calibrating airline itinerary choice models with constrained demand

Author(s):  
Ahmed Abdelghany ◽  
Khaled Abdelghany ◽  
Ching-Wen Huang
2012 ◽  
pp. 126-138 ◽  
Author(s):  
E. Sokolova

The article aims to define the main peculiarities of competition analysis in case of innovation markets. Using the example of Apples iTunes Store antitrust suit, the main characteristics of the development of knowledge-based industries are applied to the analysis.


2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation


Author(s):  
T.D. White ◽  
G.W. Sheath

Focused group projects engaging owners and managers of Maori farm businesses were initiated on the East Coast of New Zealand. The objective was to improve productivity and profitability on-farm through enhanced capability building and collaboration. Five group projects were evaluated. Critical success factors of learning groups were identified. Leadership, communication, organisation and commitment were required from project participants and facilitators. Collaborative and interactive processes built the knowledge and confidence of farm managers. Building trust was critical. Participation of mentor farmers reinforced learning in the group. Social network building was also important. We conclude that interactive group projects are a powerful way of building confidence of farm managers to communicate issues and make clearer, more strategically aligned decisions and actions. Collaborative farm initiatives foster ownership of issues, develop farmer support networks and ultimately the confidence to change. Keywords: experiential learning, farmer group, trust.


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