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Your search keyword '"Kana Ozawa"' showing total 2 results
Start Over Author "Kana Ozawa" Topic customer lifetime value
2 results on '"Kana Ozawa"'

1. Simulating Customer-to-Customer Interaction In a B2B Financial Service Business By Empirical Agent-Based Modeling

Author

Makoto Mizuno, Keiko Toya, Kana Ozawa, Yutaro Nemoto, Shintaro Tanno, Kohei Arai, Keisuke Oura, Akira Ishii, and Takaaki Ohnishi

Subjects
simulation, agent-based modeling, customer lifetime value, customer satisfaction, social interaction, Special aspects of education, LC8-6691, Computer software, QA76.75-76.765
Abstract

Service research has emphasized triad relationships between a firm, employees and customers. To coordinate these stakeholders effectively, it is highly important to understand what service activities are beneficial to all or some of these stakeholders. Yet, the recent increase in C2C interaction may make the problem more complex. This study proposes a methodology combining statistical techniques and agent-based modeling, which makes it possible to assess the joint impact of each service value and C2C interaction on the payoffs.

Published
2016
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2. Simulating Customer-to-Customer Interaction In a B2B Financial Service Business By Empirical Agent-Based Modeling

Author

Akira Ishii, Keiko Toya, Yutaro Nemoto, Takaaki Ohnishi, Keisuke Oura, Kana Ozawa, Makoto Mizuno, Kohei Arai, and Shintaro Tanno

Subjects
Service (business), lcsh:Computer software, Service quality, Customer retention, lcsh:LC8-6691, Knowledge management, lcsh:Special aspects of education, business.industry, Service design, customer satisfaction, Service level objective, Customer lifetime value, agent-based modeling, social interaction, simulation, Customer advocacy, lcsh:QA76.75-76.765, customer lifetime value, business, Customer to customer
Abstract

Service research has emphasized triad relationships between a firm, employees and customers. To coordinate these stakeholders effectively, it is highly important to understand what service activities are beneficial to all or some of these stakeholders. Yet, the recent increase in C2C interaction may make the problem more complex. This study proposes a methodology combining statistical techniques and agent-based modeling, which makes it possible to assess the joint impact of each service value and C2C interaction on the payoffs.

Published
2016

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