Management Review ›› 2023, Vol. 35 ›› Issue (11): 166-178.

• E-business and Information Management • Previous Articles     Next Articles

Service Agents or E-robots?——A Study on the Online Customer Service Strategy Selection for the E-retailer in the AI Era

Zhang Peng1, Ma Jun2, Dong Shaozeng3, Sun Kai4   

  1. 1. School of Management, Shanghai University of International Business and Economics, Shanghai 201620;
    2. Business School, University of International Business and Economics, Beijing 100029;
    3. School of Business, Jiangsu Ocean University, Lianyungang 222005;
    4. Zibo Special Equipment Inspection Institute, Zibo 255088
  • Received:2022-03-22 Online:2023-11-28 Published:2023-12-27

Abstract: Artificial intelligence has been applied to online customer service systems by e-retailers and is receiving increasing attention. This paper studies the strategic choice of online customer service mode for the e-retailer by exploring whether the introduction of intelligent technology in online customer service system brings more benefits to the e-retailer regarding consumers' heterogeneous shopping intention. Four different decision-making scenarios are discussed:no online customer service, with online service agent, with artificial intelligent online customer service, and with hybrid online customer service; decision models are constructed for each scenario, and the optimal product price, optimal product demand, and optimal product profit are obtained for each scenario; then the conditions for introducing intelligent technology in online customer service are analyzed. Some interesting results are obtained. (1) The improvement of online customer service quality does not affect product pricing, but can increase product demand and contribute to the profit growth of the e-retailer. (2) The higher learning capacity of e-robots contributes to the profit increase under AI online customer service. However, under the hybrid online customer service mode, whether profit growth can be achieved by improving the learning ability of e-robots depends not only on the e-robots' learning capacity but also on the service quality of customer service agents. (3) When the wage contribution rate of customer service agents is low, or when both the current wage rate of service agents and the learning capacity of e-robots are high, the e-retailer should switch from online service agent to artificial intelligent online customer service. (4) The e-retailer should switch from online service agent to hybrid online customer service when both the service quality of customer service agents and the learning capacity of e-robots are high.

Key words: online retail, online customer service, artificial intelligent customer service, human resource cost, hassle cost