Research on Capacity Generation, Reconstruction and Optimization of Intelligent Transformation of Marine Ranches in China

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Abstract

Against the backdrop of the accelerated development of the digital economy, the continuous advancement of building a maritime power, and the deep reshaping of the modern fishery system, Marine ranches are shifting from the traditional resource allocation and experience-based management model to a new development form characterized by data perception, intelligent decision-making, collaborative control, and ecological governance. Unlike the digitalization of general industries, Marine ranches have triple attributes of natural ecosystem, fishery production system and regional governance system. Their intelligent transformation is not only related to the improvement of production efficiency, but also to Marine ecological restoration, resource conservation, public supervision and industrial chain collaboration. In this process, digital technology does not automatically translate into transformation performance. What really determines the depth and quality of transformation is whether the organization can complete capability generation, capability reconstruction and capability optimization around technological opportunities. Based on theories related to digital transformation, dynamic capabilities, absorptive capabilities, resource orchestration, and information technology capabilities, this paper constructs a capability analysis framework for the intelligent transformation of China's Marine ranches from the perspective of normative research. The study suggests that the evolution of capabilities in the intelligent transformation of Marine ranches follows a progressive logic of "capability generation-capability reconstruction-capability optimization-performance release". Among them, capability generation is mainly reflected in the organization's perception, connection and learning of technological opportunities, policy signals and market demands; capability reengineering is characterized by process reengineering, resource reorganization and knowledge transformation centered around digital technology adoption, technology absorption and institutionalized embedding; Capability optimization, on the other hand, involves the coupled improvement of production and operation capabilities, organizational synergy capabilities, innovation diffusion capabilities, and ecological governance capabilities. Furthermore, this paper proposes that dynamic capabilities determine transformational direction identification and opportunity capture, resource orchestration capabilities determine whether technological elements and organizational elements can form an efficient combination, and innovation capabilities determine whether digital technologies can be internalized as new institutional arrangements and sustainable value creation mechanisms. Based on this, this paper constructs an overall analytical framework of "external drive-capability generation-capability reconstruction-capability optimization-multi-dimensional performance", and puts forward several research propositions, with the aim of providing theoretical explanations for the research on the intelligent transformation of Marine ranches, and also providing ideas for promoting the modernization of Marine fisheries and building an intelligent Marine industrial system in China's coastal areas.

Keywords

Marine ranches; Intelligent transformation;Capability generation;Capability refactoring;Capability optimization;Digital technology

Conclusion

This paper conducts a theoretical study on capability issues in the intelligent transformation of offshore ranches in the China Sea, proposing that capability is the core mediating variable connecting digital technology and transformation performance. The intelligent transformation of Marine ranches is not a process in which digital technology simply replaces human experience, but rather a process in which organizations continuously generate, reconstruct and optimize capabilities around technological opportunities. The main conclusions of this paper include: First, capability generation is driven by a combination of technological opportunities, policy signals and market demands, and is gradually formed through organizational cognitive renewal, resource connection and learning trial and error; Second, capability reconfiguration occurs in the three stages of digital technology adoption, absorption, and institutionalization, corresponding respectively to three key leaps: data access, process reengineering, and organizational embedding; Third, capability optimization manifests as the coupled improvement of production and operation capabilities, organizational synergy capabilities, innovation diffusion capabilities, and ecological governance capabilities, and the ultimate result is the continuous release of multi-dimensional performance in the economic, social, and ecological aspects.

The theoretical contribution of this paper lies in: First, it deepens the process explanation of the intelligent transformation of Marine ranches from the perspective of capabilities, breaking through the limitation of understanding digital transformation as mere technology diffusion; Second, it constructs an overall framework of external drive, capability generation, capability reconfiguration, capability optimization and performance formation, integrating dynamic capability, absorptive capacity, resource orchestration and digital technology capability research into a unified logic; Third, it emphasizes the particularity of giving equal weight to ecological and economic value in the Marine ranch scenario, providing a contextualized supplement to the research on digitalization of natural resource-based industries.

Of course, this paper is a theoretical analysis and has not yet quantitatively tested each proposition. Future research could build on this to construct measurement dimensions, conduct questionnaire surveys, configuration analyses, and multi-stage empirical studies to test the heterogeneous effects of different capability elements in different sea area types, organizational types, and development stages.

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