Abstract
Keywords
Conclusion
This paper constructs a theoretical analysis framework that includes antecedents, processes, capabilities and outcomes, focusing on the driving factors and mechanisms of the intelligent transformation of Marine ranches. The study suggests that the key drivers of the intelligent transformation of Marine ranches come from three dimensions: technology, organization and environment. Among them, technological superiority and technological maturity determine the technical feasibility of the transformation; enterprise strategy, resource endowment and ecological orientation determine the organizational basis and goal orientation of the transformation; institutional pressure, competitive pressure and market demand determine the external stimulus and opportunity window of the transformation. On this basis, the intelligent transformation of Marine ranches is manifested as a progressive process of digital technology adoption, digital technology absorption and digital technology institutionalization, in which dynamic capabilities, resource orchestration capabilities and innovation capabilities play a continuously amplifying and transforming role. What really determines whether the transformation can produce stable performance is not whether the technology enters the organization, but whether the technology can be absorbed and institutionalized.
The core lesson of this article is that the intelligent transformation of Marine ranches should be seen as a systematic reconstruction that combines the attributes of technological evolution, organizational learning and ecological governance. If only equipment investment and system launch are emphasized, it is easy to narrow the intelligent transformation to engineering projects; ignoring environmental constraints and ecological goals underestimates the complexity of digital transformation of Marine ranches compared to general industries. The formation mechanism and deepening logic of the intelligent transformation of Marine ranches can only be better explained by unifying the antecedent-driven, stage-process and capability embedding.
Future research can still be advanced in three areas. First, a questionnaire survey, longitudinal tracking, or configuration analysis could be conducted around the research proposition proposed in this paper to verify the driving structure and stage differences of different types of Marine ranch entities. Second, the impact of regional institutional environment, sea area type, enterprise size and industrial chain location on the intelligent transformation path can be further compared to enhance the contextual explanatory power of the theory. Third, new topics such as trusted data space, platform synergy, digital twin and green governance can be incorporated into the framework to discuss how Marine ranches can move from "individual intelligentization" to "networked collaborative intelligentization". Through these expansions, research on the intelligent transformation of Marine ranches is expected to move further from conceptual exploration to a more mature theoretical system.
References
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