A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction
- Gang Chen ,
Gang Chen
[email protected]https://orcid.org/0000-0003-0650-1175
School of Management, Zhejiang University, Hangzhou 310027 Zhejiang, Peoples Republic of China;
- Shuaiyong Xiao ,
Corresponding Author
Shuaiyong Xiao
[email protected]https://orcid.org/0000-0002-9113-1414
School of Economics and Management, Tongji University, Shanghai 200092, Peoples Republic of China;
- Chenghong Zhang ,
Chenghong Zhang
[email protected]https://orcid.org/0000-0002-4008-8989
School of Management, Fudan University, Shanghai 200433, Peoples Republic of China;
- Huimin Zhao
Huimin Zhao
[email protected]https://orcid.org/0000-0002-6471-9837
Sheldon B. Lubar College of Business, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211
Gang Chen
[email protected]https://orcid.org/0000-0003-0650-1175
School of Management, Zhejiang University, Hangzhou 310027 Zhejiang, Peoples Republic of China;
Corresponding Author
Shuaiyong Xiao
[email protected]https://orcid.org/0000-0002-9113-1414
School of Economics and Management, Tongji University, Shanghai 200092, Peoples Republic of China;
Chenghong Zhang
[email protected]https://orcid.org/0000-0002-4008-8989
School of Management, Fudan University, Shanghai 200433, Peoples Republic of China;
Huimin Zhao
[email protected]https://orcid.org/0000-0002-6471-9837
Sheldon B. Lubar College of Business, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211

