Author:
Mao Hongyi,Zhang Tao,Tang Qing
Abstract
Information technology service management (ITSM) driven by artificial intelligence (AI), i.e., AITSM, is likely to change business models and enterprise operations substantially, setting off a wave of enterprise AI transformation. Empowerment from AI has brought new vitality and challenges to ITSM capabilities, and enterprises must start thinking about how the capability of AITSM can be reactivated to shape the resilience of business models and meet survival needs in complex and ever-changing environments. To systematically achieve the development of enterprise business model resilience under AITSM, this study combines the actual situation of ITSM and enterprise AI transformation practice and then deconstruct it into three sub-research questions along the primary line of driver identification–model construction–paradigm optimization. We retrieve high-quality literature in the field of information systems from common databases and discuss the topics of AITSM and business model resilience. This study finds that future research should focus on forming an accurate description of the resilience demand of business models in the current era, and thus, better explain the value cocreation process between AITSM and business units. In addition, future research should emphasize the dynamic and strategic nature of business model resilience to study the continuous optimization of business models with the help of AITSM.
Funder
National Natural Science Foundation (NSFC) Programs of China
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Reference65 articles.
1. Enterprise Artificial Intelligence Transformation;Haq,2020
2. Notes from the AI Frontier: Modeling the Impact of AI on the World Economyhttps://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy
3. Business continuity of business models: Evaluating the resilience of business models for contingencies
4. React to the Coronavirus (COVID-19) Outbreak via Raising Business Model Resiliencehttps://www.gartner.com/en/documents/3982012
5. Business Continuity Innovation in Disruption Time: Sociotechnical Systems, Business Analytics, Virtual Business, and Mediating Role of Knowledge Absorptive Capacity
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献