Digital Age Wisdom in Chinese Management: Applications and Challenges of Digital Transformation and Artificial Intelligence

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Introduction

This special issue "Digital Age Wisdom in Chinese Management: Applications and Challenges of Digital Transformation and Artificial Intelligence," embarks on a profound exploration of the intersection between digital innovation and traditional Chinese management philosophies. It leverages an array of research methodologies to shed light on how artificial intelligence (AI) and digital technologies are reshaping management practices within the unique cultural, ethical, and regulatory landscape of China. 

Given China's rapid technological advancements and the pivotal role of cultural and ethical factors in technology adoption, integrating digital transformation and AI into the Chinese management landscape has become increasingly imperative (Chin et al., 2024a; Chin & Liu, 2017; Rowley et al., 2004). Firms are driven to ride on the digital wave in today’s open innovation ecosystem (Duan et al., 2023). During organizational digitization processes in China, Huang et al. (2022) investigates the mechanism and boundary conditions through which digital knowledge coupling influences green innovation in manufacturing firms in China. Liu et al. (2020) highlights that AI plays a crucial role in driving technological innovation by accelerating the process of knowledge creation and facilitating technology spillover in China's 14 manufacturing sectors. Research conducted by Cheng et al. (2024) explores how different stages of digital transformation influence internal corporate management, highlighting its potential to boost financial performance and overall productivity. Focusing on China as an emerging capital market, Zhou & Li (2023) explore how firms' strategies for digital transformation affect their trade credit financing while analysing variations across industries and firms. 

A significant level of digital transformation, demonstrated by the proliferation of various disruptive technologies enabled by digitization such as artificial intelligence (AI) and blockchain, has the potential to reinforce the transition and progress towards business model innovation (Chin et al., 2023; Chin et al., 2022; Yang & Lin, 2014). Chin et al. (2024b) explore how AI technologies enable the orchestration of these models and finds a quadratic relationship between AI and ecosystem-based business model, moderated by knowledge spillover. Zhuo & Chen (2023) delve into how digital transformation contributes to innovation cycle construction, particularly from a perspective of digital platforms, revealing how it reshapes enterprises' innovation capabilities and organizational structures.

In summary, digital transformation and AI are a multifaceted phenomenon that impacts various aspects of management and performance within the Chinese management context. Central to this special issue is the recognition of digital transformation as a multifaceted phenomenon impacting various aspects of management and performance. 

This collection of studies serves as a fundamental cornerstone for comprehending the transformative potential of digital technologies and AI within the realm of Chinese management. By encompassing a diverse array of themes ranging from collaborative decision-making between humans-AI to the ethical and cultural aspects of technology adoption, this special issue aims to stimulate further research and discourse. Its objective is not only to advance scholarly knowledge but also to provide practical insights for policymakers, business leaders, and practitioners navigating the intricate landscape of digital transformation in China.

List of Topic Areas

1. Human-AI Collaboration in Decision-Making: Examining the synergies between artificial intelligence and human judgment within Chinese management practices. 
2. Ethics and Culture in Digital Adoption: Analyzing the ethical considerations and cultural influences guiding the adoption of digital technologies in Chinese businesses.
3. Regulatory Impact on Digital Initiatives: Investigating how China's regulatory frameworks shape the implementation and success of digital initiatives within the business sector. 
4. Digital Entrepreneurship and Market Innovation: Exploring the role of digital entrepreneurship in driving market innovation and reshaping industries in China. 
5. Balancing Technological Advances with Traditional Values: Strategies for integrating cutting-edge digital solutions with traditional Chinese values and management philosophies. 
6. AI and the Ecosystem: How and whether AI technologies afford the orchestration of ecosystem-based business models in China.

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available here.

Author guidelines must be strictly followed. Please see here.

Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”. 

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Key Deadlines

Closing date for abstract submission: 31/12/2024 
Email for abstract submissions: [email protected]
Opening date for manuscripts submissions: 01/06/2024
Closing date for manuscripts submission: 28/02/2025 

References

Cheng, W., Li, C., & Zhao, T. (2024). The stages of enterprise digital transformation and its impact on internal control: Evidence from China. International Review of Financial Analysis, 92, 103079. 
Chin, T. & Liu, R-h. (2017). Critical Management Issues in China's Socio-economic Transformation: Multiple scientific Perspectives to Strategy and Innovation, Chinese Management Studies, 11(1):12-18. 
Chin, T., Cheng, T. C. E., Wang, C., & Huang, L. (2024a). Combining artificial and human intelligence to manage cross-cultural knowledge in humanitarian logistics: a Yin–Yang dialectic systems view of knowledge creation. Journal of Knowledge Management. 
Chin, T., Ghouri, M. W. A., Jin, J., & Deveci, M. (2024b). AI technologies affording the orchestration of ecosystem-based business models: the moderating role of AI knowledge spillover. Humanities and Social Sciences Communications, 11(1), 1-13. 
Chin, T., Jin, J., Wang, S., Caputo, F., & Rowley, C. (2023). Cross-cultural legitimacy for orchestrating ecosystem-based business models in China: A Yin-Yang dialectical systems view. Asia Pacific Business Review, 1–24. 
Chin, T., Shi, Y., Singh, S. K., Agbanyo, G. K., & Ferraris, A. (2022). Leveraging blockchain technology for green innovation in ecosystem-based business models: a dynamic capability of values appropriation. Technological Forecasting and Social Change, 183, 121908. 
Duan, Y., Yang, M., Liu, H., & Chin, T. (2023). How does digital transformation affect innovation in knowledge-intensive business services firms? The moderating effect of R&D collaboration portfolio. Journal of Knowledge Management, (ahead-of-print). 
Huang, L., Wang, C., Chin, T., Huang, J., & Cheng, X. (2022). Technological knowledge coupling and green innovation in manufacturing firms: Moderating roles of mimetic pressure and environmental identity. International Journal of Production Economics, 248, 108482. 
Liu, J., Chang, H., Forrest, J. Y. L., & Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of China's manufacturing sectors. Technological Forecasting and Social Change, 158, 120142. 
Rowley, C., Benson, J., & Warner, M. (2004). Towards an Asian model of human resource management? A comparative analysis of China, Japan and South Korea. The International Journal of Human Resource Management, 15(4–5), 917–933. 
Yang, H. L., & Lin, C. L. (2014). Why do people stick to Facebook web site? A value theory-based view. Information Technology & People, 27(1), 21-37. 
Zhou, Z., & Li, Z. (2023). Corporate digital transformation and trade credit financing. Journal of Business Research, 160, 113793. 
Zhuo, C., & Chen, J. (2023). Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary. Technological Forecasting and Social Change, 190, 122378.