Sara Afgababaei; Mohsen Nazari; Nastaran Haji Heydari
Abstract
in today's competitive world, pricing, as one of the 4 elements of marketing mix, plays a key role in the success or failure of companies. Based on theoretical principles, in value-based pricing, companies calculate the distinct value of their products from customer insights. The purpose of this ...
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in today's competitive world, pricing, as one of the 4 elements of marketing mix, plays a key role in the success or failure of companies. Based on theoretical principles, in value-based pricing, companies calculate the distinct value of their products from customer insights. The purpose of this research, which is based on design science, is to design and implement a system to help competitive pricing based on customer value by categorizing and analyzing customer emotions with the aim of maximizing profits. choice of this research is The hoteling industry , in which customer opinions and values play key rule. In this research, first, it has been tried to identify and classify important and valuable items in the minds of the customers of these 5-star hotels in Tehran by the method of topic modeling with LDA algorithm. Then, in each category, each customer's comments are tagged, and these comments processed with different text mining algorithms. Then the accuracy of the algorithms calculated. the deep learning algorithm with 0.9 accuracy had the highest accuracy of calculations. Finally, the analysis of sentiments with the available data was performed by the system designed in the previous step and acceptable results were obtained. The application of the proposed system is to identify the value of hotels in the minds of target customers over competitors and to help value-based pricing.
Narjes Zangeneh Nejad; ALI Moeini; Nastaran Hajiheidari; Adel Azar
Abstract
The business ecosystem represents the collaborative and co-existence role of an organization in a larger network, whose recognition requires understanding the relationships among the members of the ecosystem. The aim of this study is to investigate the ecosystem of mobile communication in Iran using ...
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The business ecosystem represents the collaborative and co-existence role of an organization in a larger network, whose recognition requires understanding the relationships among the members of the ecosystem. The aim of this study is to investigate the ecosystem of mobile communication in Iran using social network analysis technique. After a survey of mobile communications experts in Iran the boundaries of the mobile ecosystem is defined. Then, using snowball method, key actors of Iran's mobile communications ecosystem have been identified. After conducting interviews with the managers of the organizations, the data on the relationships among these actors were collected and using social network analysis (SNA) technique the network of actors was drawn up. Presentation of visual model of mobile ecosystem of Iran is one of the results of this research. The findings show that two mobile network operators in Iran have the highest centrality in the network and are considered as mobile ecosystem leaders in Iran. Analysis of the betweenness indicator shows that Communications Regulatory Authority after two network operators mentioned above has a more prominent role of betweenness in the network. Besides, among the main parts of the ecosystem, controlling and monitoring institutions have the strongest connections across the entire network and hence they are considered as the most powerful part.
