AI Empowerment and Measurement: Reconstructing the Enterprise Digital Maturity Model and its Implications for Service Ecosystem

Shuqing Zhou

doi:10.54691/tt5b9s51

Authors

Shuqing Zhou

DOI:

https://doi.org/10.54691/tt5b9s51

Keywords:

Artificial Intelligence (AI); Digital Maturity; Value Co-creation; Competitive Advantage; Service Ecosystem.

Abstract

In the current context of artificial intelligence driving economic digital transformation, enterprise digital maturity has become a critical foundation for creating shared value and enhancing competitiveness within service ecosystems. Existing maturity models often fail to adequately reflect the fundamental changes brought about by AI technology, necessitating that enterprises continuously adjust their business strategies to align with the requirements of service ecosystem development and value co-creation. Digital maturity measures a company's capabilities in integrating digital technologies, data-driven decision-making, and process optimization, significantly enhancing operational efficiency and market responsiveness while connecting consumers, partners, and the entire ecosystem network. This study constructs an AI-enabled digital maturity model encompassing three dimensions: people enhancement, product-driven innovation, and marketing empowerment. It focuses on analyzing the underlying mechanisms through which value co-creation drives a company's competitive advantage. This direction will approach the topic from a theoretical perspective, focusing on how AI technology reshapes the connotations and measurement standards of AI-driven digital maturity: AI-Enhanced People capability, AI-Driven Product Innovation,and AI-Enabled Marketing Empowerment: AI-Enhanced People capability focuses on leveraging AI technologies such as user profiling, behavioral modelling, and social vitality to achieve deep user insights, ecosystem construction, and intelligent interaction capabilities, while emphasizing the use of privacy computing technologies like federated learning to establish a balance between data development and privacy protection; AI-Driven Product Power emphasizes the intelligence of products and adaptive service capabilities enabled by embedded AI functionalities; AI-Enabled Marketing Empowerment focuses on the effectiveness of ultra-personalised customer insights, precise targeting, and automated interaction based on AI algorithms, and how to upgrade 'AI-Enabled Marketing Empowerment' from traditional broad coverage to 'precise targeting and value prediction capabilities' centred on data intelligence.

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References

[1] Chandler, J. D., & Vargo, S. L. (2011). Contextualization and value - in - context: How context frames exchange. Marketing Theory, 11(1), 35 - 49.

[2] Shishmanov, K. T., Popov, V. P., & Popova, P. D. (2021). Towards a flexible and integrated model of service systems: The role of digital platforms in value co-creation. Journal of Service Management, 32(4), 567–585.

[3] Struwe, S., & Slepniov, D. (2023). Unlocking digital servitization: A conceptualization of value co-creation capabilities. Journal of Business Research, 160, 113825.

[4] Vargo, S. L., & Lusch, R. F. (2017). Service-dominant logic 2025. International Journal of Research in Marketing, *34*(1), 46-67.

[5] Lusch, R. F., & Nambisan, S. (2015). Service innovation: a service - dominant logic perspective. MIS Quarterly, 39(1), 155 - 175.

[6] Teece, D. J. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), 509-533.

[7] Lemon, K. N., & Verhoef, P. C. (2016). Understanding Customer Experience Throughout the Customer Journey. Journal of Marketing, 80(6), 69-96.

[8] Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, *106*(5), 133–139.

[9] Zott, C., & Amit, R. (2010). Business Model Innovation: Creating Value in Times of Change. MIT Sloan Management Review, 52(1), 43-52.

[10] Dyer, J. H., & Singh, H. (1998). The Relational View: Cooperative Strategy and Sources of Inter - organizational Competitive Advantage. Academy of Management Review, 23(4), 660 - 679.

[11] Martín - Peña, M. C., Díaz - Morales, A., & Navarro - Gil, D. (2020). Digital transformation in the tourism industry: A review and research agenda. Journal of Destination Marketing, 17, 10-11.

[12] Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension and update of service - dominant logic. Journal of the Academy of Marketing Science, 44(1), 5 - 23.

[13] Iansiti, M., & Levien, R. (2004). The keystone advantage: What the new dynamics of business ecosystems mean for strategy, innovation, and sustainability. Boston, MA: Harvard Business School Press. 11(1), 12 - 13.

[14] Vargo, S. L., & Lusch, R. F. (2011). It's all B2B.... . and beyond: Toward a systems perspective of the market. Industrial Marketing Management, 40(2), 181 - 187.

[15] Guo, C., & Xu, H. (2012). Service-dominant logic and customer value creation: A conceptual model and empirical verification. Nankai Business Review, 15(4), 84-95.

[16] Vargo, S. L., & Lusch, R. F. (2004). The service - dominant logic of marketing: Dialog, debate, and directions. Armonk, NY: M. E. Sharpe. 12.(2) 12 - 21.

[17] Narver, J. C., & Slater, S. F. (1990). The effect of a market orientation on business profitability. Journal of Marketing, 54(4), 20–35.

[18] Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482.

[19] Matt, C., Hess, T., & Benlian, A. (2015). Digital Transformation Strategies. Business & Information Systems Engineering, 57(5), 339-343.