Real-time monitoring method and system for entrepreneurial opportunities of platform enterprises based on digital technology

Abstract

The present invention belongs to the field of data monitoring systems or methods, and relates to a real-time monitoring method and system for entrepreneurial opportunities for platform enterprises based on digital technology. The method first initially acquires entrepreneurial opportunities; then iteratively explores and derives new entrepreneurial opportunities; the data generated during the iterative exploration of entrepreneurial opportunities is then input into a digital intelligence base as new data. The digital intelligence base repeats the first two steps based on the input data, continuously generating entrepreneurial opportunities; the digital intelligence base infers the correlations between the continuously emerging entrepreneurial opportunities, generating a set of interrelated entrepreneurial opportunities; finally, based on the acquired entrepreneurial opportunity set, it promptly mines and discovers entrepreneurial opportunities that can be applied to the market, and dynamically designs the feasible space of opportunities based on the passage of time and ecological evolution, thus constructing an opportunity map. Using this method, platform enterprises can always ensure that they are at the forefront and leading the industry, helping them stand out in the fierce market competition and achieve sustainable development.

Description

Technical Field

[0001] The present invention belongs to the field of data monitoring systems or methods, and mainly focuses on enterprises in the manufacturing industry that have undergone digital transformation and have initially built platforms. Specifically, it relates to a real-time monitoring method and system for entrepreneurial opportunities of platform enterprises based on digital technology. Background Art

[0002] Currently, there are a number of business analysis tools on the market, such as SWOT analysis, PEST analysis, and the Five Forces model. These tools can help companies identify and analyze the market environment to a certain extent, but their relevance and practicality in monitoring entrepreneurial opportunities are relatively limited. Especially for platform companies transitioning from manufacturing to businesses in the digital age, these tools often struggle to fully capture and organize the resources of various entities in the ecosystem, thus limiting the discovery and development of entrepreneurial opportunities.

[0003] Specifically, in terms of entrepreneurial opportunity monitoring, existing technologies have the following shortcomings and deficiencies:

[0004] 1) Lack of systematicity: Existing methods often focus on the analysis of a single factor and lack the ability to integrate multiple related factors (such as opportunities, resource bundles, and multiple agents) into a systematic tool for analysis.

[0005] 2) Single analysis subject: Existing tools all start from the perspective of a single enterprise, making it difficult to effectively analyze the deep interaction and cooperation between platform companies and ecological partners based on resource pools, thereby limiting the continuous emergence of new entrepreneurial opportunities.

[0006] 3) Lack of dynamism: In a rapidly changing business environment, existing tools tend to favor static analysis and are unable to reveal the dynamism and uncertainty of entrepreneurial opportunities.

[0007] The impact of the above-mentioned problems on practical applications is that they limit platform companies' keen insight into and efficient use of a series of related opportunities, thereby affecting the companies' competitiveness and sustainable development capabilities. Summary of the Invention

[0008] The purpose of the present invention is to provide a real-time monitoring method for entrepreneurial opportunities of platform enterprises based on digital technology. The method is based on the data generated by the enterprise itself and digital analysis technology. By exploring the interaction between the resource pool, the multi-subject interaction module and the entrepreneurial opportunity module, the method guides the platform enterprise to gain insight into and cultivate a series of interrelated entrepreneurial opportunities through processes such as resource analysis and multi-subject interaction analysis, and monitor such opportunities in real time, timely explore and discover entrepreneurial opportunities that can be applied to the market, design and iterate its own business model, and always ensure that the enterprise itself is at the forefront and leading of the industry, helping the enterprise to stand out in the fierce market competition and achieve sustainable development.

[0009] To achieve the above object, the present invention adopts the following technical solutions:

[0010] A real-time monitoring method for entrepreneurial opportunities of platform enterprises based on digital technology, comprising the following steps:

[0011] Step 1. Initially obtain entrepreneurial opportunities;

[0012] Step 2. Iteratively explore and derive new entrepreneurial opportunities;

[0013] After initially acquiring profitable entrepreneurial opportunities, the platform enterprise builds a resource pool guided by the opportunities, promotes the realization of entrepreneurial opportunities, and simultaneously identifies and selects ecological partners that can potentially meet the resource needs corresponding to the relevant entrepreneurial opportunities. Then, using the multi-agent interaction module, the platform enterprise interacts and cooperates with the ecological partners to form a resource combination with competitive advantages, which is stored in the resource pool.

[0014] Based on the acquisition of preliminary entrepreneurial opportunities, the digital intelligence platform is used to further analyze and evaluate the entrepreneurial opportunities, and the second ecological partner that can promote the realization of the entrepreneurial opportunities is selected. Then, with the help of the multi-agent interaction module, the platform enterprise interacts and cooperates with the second ecological partner to form a second resource combination with competitive advantages. The second resource combination is stored in the resource pool;

[0015] The entrepreneurial opportunity module further explores and mines new entrepreneurial opportunities based on the data in the updated resource pool and the data generated by multi-agent interaction, and repeats the above steps based on the new entrepreneurial opportunities explored and mined;

[0016] Step 3. The data generated during the iterative exploration of entrepreneurial opportunities is input into the Digital Intelligence Platform as new data. The Digital Intelligence Platform then repeats Steps 1 and 2 based on the input data, continuously generating entrepreneurial opportunities.

[0017] Step 4. Infer the correlations between emerging entrepreneurial opportunities and generate a set of interconnected entrepreneurial opportunities;

[0018] Step 5. Based on the acquired entrepreneurial opportunity set, explore and discover entrepreneurial opportunities that can be applied to the market, and dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and build an opportunity map to achieve real-time monitoring of entrepreneurial opportunities.

[0019] As a preferred embodiment of the present invention, the specific steps of step 1 are: using the digital intelligence base to summarize the input data in text and analyze and evaluate the text data, and summarize the list of products or services with the highest correlation with the platform enterprise, so as to preliminarily identify n segmented product or service opportunities that the platform enterprise may expand in the industry field in the past five years and n expandable product or service opportunities outside the industry field; wherein, the digital intelligence base adopts the open source LLAMA model and trains the model with the entrepreneurial opportunity development process.

[0020] As the preferred embodiment of the present invention, the specific steps of step 2 are:

[0021] Step 2.1. After initially identifying lucrative entrepreneurial opportunities, platform companies build resource pools, guided by these opportunities, to align resources within the pool with the monitored entrepreneurial opportunities and promote their realization. Simultaneously, while building the resource pools, the Digital Intelligence Platform, based on the resource requirements of the entrepreneurial opportunities, simultaneously identifies and screens ecosystem partners that can potentially meet the corresponding resource needs of the relevant entrepreneurial opportunities.

[0022] Step 2.2. Under the leadership of the platform enterprise, using the multi-agent interaction module, the platform enterprise interacts and collaborates with ecosystem partner 1, actively integrating their internal and external resources. Data analysis identifies the resource strengths and weaknesses of each entity, searches for resources needed to expand the opportunity space, and gains insight into the potential complementarities and connections between resources. Based on the interaction between the platform enterprise and ecosystem partner 1, a competitively advantageous resource combination 1 is formed. This resource combination 1 is stored in the resource pool. Simultaneously, the data generated by the exchange of ideas and in-depth discussions between the platform enterprise and ecosystem partner 1 is shared with the entrepreneurial opportunity module and the digital intelligence platform. Updates to the resource pool and interactions between the platform enterprise and ecosystem partner 1 are used to foster new entrepreneurial opportunities.

[0023] Step 2.3. Based on the initial acquisition of entrepreneurial opportunities, the digital intelligence platform further analyzes and evaluates the entrepreneurial opportunities and selects a second ecosystem partner that can promote the realization of the entrepreneurial opportunities. Under the leadership of the platform enterprise, the platform enterprise and the second ecosystem partner engage in in-depth interaction and collaboration with the multi-agent interaction module to explore the potential value of the entrepreneurial opportunity. The data generated by the exchange of ideas and in-depth discussions between the platform enterprise and the second ecosystem partner is shared with the entrepreneurial opportunity module and the digital intelligence platform. At the same time, the platform enterprise and the second ecosystem partner actively integrate their internal and external resources, identify the resource strengths and weaknesses of each entity through data analysis, search for the necessary resources to expand the opportunity space, gain insight into the potential complementarity and correlation between resources, and, based on the interaction between the platform enterprise and the second ecosystem partner, form a second resource combination with competitive advantages. This resource combination is stored in the resource pool. The update of the resource pool and the interaction between the platform enterprise and the second ecosystem partner further generate new entrepreneurial opportunities.

[0024] Step 2.4. The entrepreneurial opportunity module further explores and mines new entrepreneurial opportunities based on the updated data in the resource pool and the data generated by multi-agent interactions;

[0025] Step 2.5. Repeat steps 2.1 to 2.4 based on the new entrepreneurial opportunities you have explored and discovered.

[0026] Step 2.6. For each new entrepreneurial opportunity acquired, match the resources in the resource pool with scalable product or service opportunities one by one, screen entrepreneurial opportunities with opportunity-resource matching capabilities, and form a series of related new product or service opportunities.

[0027] As a preferred embodiment of the present invention, the data input in step 1 include: research data of platform enterprises during their development process, operational data disclosed by platform enterprises, and external industry analysis data; when the digital intelligence base initially obtains entrepreneurial opportunities based on the input data, it needs to combine external resources and preliminarily judge whether the platform enterprises can use existing internal and external resources to realize their own entrepreneurial opportunities, so as to match the entrepreneurial opportunities initially obtained with existing internal and external resources and output entrepreneurial opportunities that can pursue profits.

[0028] As a preferred embodiment of the present invention, the resource pool is constructed under the guidance of entrepreneurial opportunities. With the iteration of entrepreneurial opportunities, the resources in the resource pool are continuously shared, coordinated and updated; the update of the resource pool helps to explore new resources or innovative combinations of resources, stimulate new entrepreneurial opportunities, and at the same time, the update of the resource pool promotes the interaction between platform enterprises and ecological partners, and enhances the depth and breadth of multi-subject interaction.

[0029] As a preferred embodiment of the present invention, the internal and external resources of the platform enterprise and ecological partners include data resources, financial resources, human resources, social network resources, knowledge resources and fixed assets, etc.

[0030] As a preferred embodiment of the present invention, information on new resources / resource combinations is captured in real time during the multi-agent interaction process, and new resources are injected into the resource pool through resource sharing to expand the resource pool.

[0031] As a preferred embodiment of the present invention, the enterprise entities that can provide scientific and technological services among the ecological partners 1 and 2 are regarded as important ecological partners.

[0032] As a preferred embodiment of the present invention, the opportunity map includes horizontally associated opportunity spaces that can be expanded based on existing technologies and new markets, opportunity spaces that can be expanded based on new technologies and new markets, vertically associated opportunity spaces that can be expanded based on existing technologies and markets, and opportunity spaces that can be expanded based on existing markets and new technologies.

[0033] The present invention also provides a real-time monitoring system for entrepreneurial opportunities of platform enterprises based on digital technology. The real-time monitoring system for entrepreneurial opportunities includes a digital intelligence base, an entrepreneurial opportunity module, a resource pool, and a multi-agent interaction module. The entrepreneurial opportunity module and the resource pool and the multi-agent interaction module influence each other, and the resource pool and the multi-agent interaction module influence each other. Entrepreneurial opportunity monitoring drives resource pool development, the resource pool stimulates new entrepreneurial opportunities, resource pool development deepens multi-agent interaction, multi-agent interaction enriches the resource pool, multi-agent interaction creates new entrepreneurial opportunities, and entrepreneurial opportunities promote the upgrading of multi-agent interaction; the entrepreneurial opportunity module is used to monitor the source of opportunities with the help of digital technology, and to infer the correlation between emerging opportunities, and then dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and construct an opportunity map; the multi-agent interaction module is used to promote in-depth interaction and cooperation between platform enterprises and other subjects; the real-time monitoring system for entrepreneurial opportunities is used to implement the above-mentioned real-time monitoring method for entrepreneurial opportunities.

[0034] Advantages and beneficial effects of the present invention:

[0035] (1) The method provided by the present invention, supported by the digital intelligence base, can efficiently guide platform enterprises to mine and analyze data resources and timely discover potential entrepreneurial opportunities. This not only helps to enhance the sensitivity of platform enterprises to market dynamics, but also enables them to more accurately grasp user needs and market trends, thereby formulating more targeted strategies. The effectiveness of such strategies will be directly converted into the profits that platform enterprises can pursue, ensuring their competitive advantages and industry-leading level, and helping them stand out in the fierce market competition.

[0036] (2) The method provided by the present invention guides platform enterprises to pool resources and explore a series of business opportunities with the help of ecological forces from a multi-subject perspective. It guides enterprises' entrepreneurial opportunity exploration activities from a dynamic perspective, responds to changes in the external environment in a timely manner through iterative exploration, adjusts and optimizes strategies, and develops a series of entrepreneurial opportunities, thereby improving their own capabilities to create value.

[0037] (3) Driven by the digital intelligence base, the monitoring system provided by the present invention helps platform enterprises to establish closer ties with other entities (such as governments, universities / research institutions, users, etc.) and jointly explore the potential value of entrepreneurial opportunities; this synergy not only helps to optimize the allocation of resources, but also stimulates innovative thinking and promotes the emergence of new technologies, new systems and new business models; through the collaborative value creation of multiple entities, the real-time monitoring system for entrepreneurial opportunities can bring more cooperation opportunities to multiple entities, further enhancing the overall competitiveness of platform enterprises.

[0038] (4) The real-time monitoring system for entrepreneurial opportunities provided by the present invention helps to achieve dynamic optimization and expansion of the resource pool, and can help enterprises monitor and analyze the status and changing trends of the resource pool in real time, and schedule and configure multi-agent resources according to the needs of entrepreneurial opportunities; this flexibility not only ensures the effective use of resources, but also provides enterprises with continuous innovation momentum; by constantly creating new resources and new resource combinations, enterprises can cope with complex and changing market environments and achieve sustainable development.

[0039] (5) In the real-time monitoring system for entrepreneurial opportunities provided by the present invention, the entrepreneurial opportunity module and the resource pool and the multi-agent interaction module influence each other, and the resource pool and the multi-agent interaction module influence each other. This mechanism of mutual influence and mutual promotion enables the monitoring system to dynamically iterate and respond to changes in the external environment in a timely manner, thereby supporting platform enterprises to continuously expand and optimize entrepreneurial opportunities and achieve sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0041] Figure 1 This is a flow chart of the method for real-time monitoring of entrepreneurial opportunities for platform enterprises based on digital technology of the present invention;

[0042] Figure 2 This is a schematic diagram of a real-time monitoring system for entrepreneurial opportunities of platform enterprises based on digital technology according to the present invention;

[0043] Figure 3 This is a schematic diagram of the opportunity map of the present invention;

[0044] Figure 4 This is a schematic diagram of the opportunity map actually output by the present invention. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0046] Example 1:

[0047] like Figure 1 As shown, this embodiment provides a method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology, which includes the following steps:

[0048] Step 1. Initially obtain entrepreneurial opportunities;

[0049] Utilize the digital intelligence platform to summarize the input data and analyze and evaluate the text data, compiling a list of products or services most closely associated with the platform enterprise to preliminarily identify three niche product or service opportunities within the industry that the platform enterprise may develop over the next five years, as well as three scalable product or service opportunities outside the industry. The digital intelligence platform uses the open-source LLAMA model, trained using the entrepreneurial opportunity development process.

[0050] Step 2. Iteratively explore and derive new entrepreneurial opportunities;

[0051] Step 2.1. After initially identifying lucrative entrepreneurial opportunities, platform companies build resource pools, guided by these opportunities, to align resources within the pool with the monitored entrepreneurial opportunities and promote their realization. Simultaneously, while building the resource pools, the Digital Intelligence Platform, based on the resource requirements of the entrepreneurial opportunities, simultaneously identifies and screens ecosystem partners that can potentially meet the corresponding resource needs of the relevant entrepreneurial opportunities.

[0052] Step 2.2. Under the leadership of the platform enterprise, using the multi-agent interaction module, the platform enterprise interacts and collaborates with ecosystem partner 1, actively integrating their internal and external resources. Data analysis identifies the resource strengths and weaknesses of each entity, searches for resources necessary to expand the opportunity space, and gains insight into the potential complementarities and connections between resources, creating conditions for the emergence and connection of opportunities. Based on the interaction between the platform enterprise and ecosystem partner 1, a competitively advantageous resource combination 1 is formed, which is stored in the resource pool. Simultaneously, the data on the collision of ideas and in-depth exchanges generated by the interaction between the platform enterprise and ecosystem partner 1 is shared with the entrepreneurial opportunity module and the digital intelligence base. Updates to the resource pool and interactions between the platform enterprise and ecosystem partner 1 are used to foster new entrepreneurial opportunities.

[0053] Step 2.3. Based on the initial acquisition of entrepreneurial opportunities, the digital intelligence platform further analyzes and evaluates the entrepreneurial opportunities and selects a second ecosystem partner that can promote the realization of the entrepreneurial opportunities. Under the leadership of the platform enterprise, the platform enterprise and the second ecosystem partner engage in in-depth interaction and collaboration with the multi-agent interaction module to explore the potential value of the entrepreneurial opportunity. The data generated by the exchange of ideas and in-depth discussions between the platform enterprise and the second ecosystem partner is shared with the entrepreneurial opportunity module and the digital intelligence platform. At the same time, the platform enterprise and the second ecosystem partner actively integrate their internal and external resources, identify the resource strengths and weaknesses of each entity through data analysis, search for the necessary resources to expand the opportunity space, gain insight into the potential complementarity and correlation between resources, and, based on the interaction between the platform enterprise and the second ecosystem partner, form a second resource combination with competitive advantages. This resource combination is stored in the resource pool. The update of the resource pool and the interaction between the platform enterprise and the second ecosystem partner further generate new entrepreneurial opportunities.

[0054] Step 2.4. The entrepreneurial opportunity module further explores and mines new entrepreneurial opportunities based on the updated data in the resource pool and the data generated by multi-agent interactions;

[0055] Step 2.5. Repeat steps 2.1 to 2.4 based on the new entrepreneurial opportunities you have explored and discovered.

[0056] Step 2.6. For each new entrepreneurial opportunity, match the resources in the resource pool with scalable product or service opportunities, screen for entrepreneurial opportunities that have a good opportunity-resource fit, and develop a series of related new product or service opportunities.

[0057] Step 3. The data generated during the iterative exploration of entrepreneurial opportunities is input into the Digital Intelligence Platform as new data. The Digital Intelligence Platform then repeats Steps 1 and 2 based on the input data, continuously generating entrepreneurial opportunities.

[0058] Step 4. Infer the correlations between emerging entrepreneurial opportunities and generate a set of interconnected entrepreneurial opportunities;

[0059] Step 5. Based on the acquired entrepreneurial opportunity set, explore and discover entrepreneurial opportunities that can be applied to the market, and dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and build an opportunity map to achieve real-time monitoring of entrepreneurial opportunities.

[0060] In this embodiment, the data input in step 1 include: research data of platform enterprises during their development process, public operational data of platform enterprises, such as annual reports, text information on corporate official websites, corporate news, the company's own product and service operational data, and platform user information data; when the digital intelligence base initially obtains entrepreneurial opportunities based on the input data, in order to ensure that profitable entrepreneurial opportunities can be obtained, it is necessary to combine external resources and preliminarily judge whether the platform enterprise can use existing internal and external resources to realize its own entrepreneurial opportunities, so as to match the entrepreneurial opportunities initially obtained with existing internal and external resources, and output profitable entrepreneurial opportunities. The external resources include digital infrastructure, public data resource pools, etc.

[0061] Specifically, in this embodiment, step 1 includes the following steps:

[0062] Step 1.1. Analyze platform enterprise data:

[0063] Through research, we can understand the basic situation of platform enterprises, their strategic layout (equity structure, investor relations, regional layout, industrial layout, strategic planning, details of products and services to be developed by the enterprise in the future), their technical level (core technology, equipment technical level, distribution areas and timelines of intellectual property rights), their corporate culture (organizational structure, decision-making characteristics, fault tolerance and flexibility compatibility), their financial status (sales revenue, cost structure, gross profit margin and net profit margin, asset and liability analysis, R&D investment ratio), and their data resource accumulation (production and R&D data, technology application data, and main business data); among them, the basic situation includes the date of establishment, whether it is listed, industry ranking, details of main products and services, affiliated enterprises and their industry status (including market cooperation enterprises, technical cooperation enterprises, upstream and downstream cooperation enterprises in the industrial chain, alliance enterprises, conference or institutional joint enterprises, etc.), the number and structure of employees, equipment, factory buildings, product lines, fixed assets, etc.

[0064] Step 1.2. Analyze and summarize the platform enterprise ecosystem data; specifically, summarize investment hotspots, products and services, core technologies, and core and key enterprises.

[0065] The analysis of platform enterprise ecological data includes analysis of platform enterprise-related entities, their status, and forms of association (such as suppliers and customers, governments, scientific research institutions and universities, financial institutions, investors, third-party service agencies, etc.), analysis of the industry ecology in which the platform enterprise is located (such as the main products and services of the industry ecology, core and key enterprises in the industry ecology, technology hotspots in the industry ecology, investment hotspots in the industry ecology, and investor backgrounds in the industry ecology), analysis of the industry ecology in which the platform enterprise is located (such as the main products and services of the industry ecology, core and key enterprises in the industry ecology, technology hotspots in the industry ecology, investment hotspots in the industry ecology, and investor backgrounds in the industry ecology); analysis of the industry ecology in which the customers of the platform enterprise's main products and services are located (such as the main products and services of the customer's industry ecology, core and key enterprises in the customer's industry ecology, technology hotspots in the customer's industry ecology, investment hotspots in the customer's industry ecology, and investor backgrounds in the customer's industry ecology), and analysis of global operating product and service trends and hotspots (such as products and services in global and national industry reports, products and services in national and provincial policy reports, and products and services in investment and financing reports).

[0066] Step 1.3. Analyze potential competitors and co-opetitioners of the platform enterprise and summarize their competitors. Specifically, determine the competitor's name, competition type, founding date, whether it is publicly listed, industry ranking, details of its main products and services, affiliated companies, employee size and structure, equipment, plant, product lines, fixed assets, accumulated data resources, sales revenue, cost structure, gross and net profit margins, asset and liability analysis, and R&D investment ratio.

[0067] Among them, the analysis of potential competitors and co-opetitors of platform enterprises includes analysis of direct competitors in the platform enterprise market (determining a list of 5 enterprises operating items 1 to 3 of the platform enterprise's main products and services), analysis of indirect competitors in entry-type markets (determining a list of 3 enterprises that may operate items 1 to 3 of the platform enterprise's main products and services by expanding their existing businesses), analysis of indirect competitors in technology-based markets (determining a list of 3 enterprises operating products and services related to items 1 to 3 of the platform enterprise's core technology), and analysis of indirect competitors in related markets (determining a list of 3 technology cooperation enterprises, 3 market cooperation enterprises, 3 upstream and downstream cooperation enterprises in the industrial chain, 3 alliance enterprises, and 3 conference or institution joint enterprises).

[0068] Step 1.4. Analyze potential opportunities based on the platform enterprise data obtained, and preliminarily identify three niche product or service opportunities that the platform enterprise may expand within the industry and three product or service opportunities outside the industry that can be expanded in the next five years.

[0069] In this embodiment, the resource pool is constructed based on entrepreneurial opportunities. As entrepreneurial opportunities evolve, resources within the resource pool are continuously shared, coordinated, and updated. This updating of the resource pool helps uncover new resources or innovative combinations of resources, sparking new entrepreneurial opportunities. It also promotes interaction between platform companies and ecosystem partners, enhancing the depth and breadth of multi-agent interaction. During this multi-agent interaction, information about new resources or resource combinations is captured in real time, and new resources are injected into the resource pool through resource sharing, expanding the resource pool.

[0070] Furthermore, in this embodiment, the internal and external resources of the platform enterprise and ecological partners include data resources, financial resources, human resources, social network resources, knowledge resources and fixed assets, etc.; when iteratively exploring entrepreneurial opportunities, the ecological partner one and ecological partner two include various types of entities (such as government, university / research institutions, etc.). For each entity in ecological partner one and ecological partner two, it is necessary to focus on corporate entities that can provide scientific and technological services, and regard corporate entities that can provide scientific and technological services as important ecological partners, which is more conducive to the implementation of entrepreneurial opportunities.

[0071] Furthermore, in this embodiment, the specific method of mining and discovering entrepreneurial opportunities that can be applied to the market in step 5 is as follows: all listed companies operating potential entrepreneurial opportunities i are aggregated to form a set of listed companies i; then, the differences between the platform companies and the set of listed companies i in terms of data resources (equipment, factory buildings, product lines, fixed assets, number of employees, etc.), financial status (sales revenue, cost structure, interest rate and net profit margin, asset-liability ratio, R&D investment ratio), etc. are analyzed to evaluate and judge the potential entrepreneurial opportunity i; finally, based on the feasibility of the entrepreneurial opportunities, the potential entrepreneurial opportunities ranked 1 to 10 in terms of feasibility are selected; then, the coordinate points of the above 10 potential entrepreneurial opportunities are drawn using the degree of technological newness and the degree of market newness as horizontal and vertical coordinates to form an opportunity map.

[0072] Further, if Figure 3 As shown, in this embodiment, the opportunity map includes horizontally associated opportunity spaces that can be expanded based on existing technologies and new markets, opportunity spaces that can be expanded based on new technologies and new markets, vertically associated opportunity spaces that can be expanded based on existing technologies and markets, and opportunity spaces that can be expanded based on existing markets and new technologies.

[0073] In order to verify the feasibility of the entrepreneurial opportunities obtained by the above method, we can evaluate and verify the entrepreneurial opportunities that can be mined and discovered and applied to the market. The specific steps are as follows:

[0074] Step 1. Apply digital technology to analyze the degree of match between the current resource pool and entrepreneurial opportunities, including whether the resource pool's abundance, utilization efficiency, and liquidity can support the formation and expansion of entrepreneurial opportunities. Use algorithmic models to assess potential risks. Simultaneously, formulate a resource pool development plan and use big data analysis to predict future returns to ensure that development costs are lower than expected returns.

[0075] Step 2. Use digital technology to analyze the degree of compatibility between participants and opportunities, including the current ecosystem partners, whether they possess the core resources necessary to realize the opportunity, whether there is a shared understanding of the opportunity, and whether and how to introduce new ecosystem partners. Simultaneously, use big data to predict interaction costs and benefits, thereby continuously optimizing interaction strategies to ensure effectiveness.

[0076] Step 3. Based on the interaction between the resource pool and multiple stakeholders, use big data to predict the costs required of the platform enterprise to acquire and realize entrepreneurial opportunities, the likelihood of profitability, the expected payback period, the scale of potential returns, and the risks associated with developing entrepreneurial opportunities. Simultaneously, digital technology is used to analyze and assess the innovativeness and development potential of entrepreneurial opportunities to verify their high value and support the sustainable development of the platform enterprise.

[0077] Based on opportunity assessment and verification, platform companies can be guided to develop specific action plans and clearly define the direction of decision-making and action in the plans.

[0078] It should be noted that the entrepreneurial opportunity evaluation and verification method provided in this embodiment is only for illustration, and those skilled in the art may also use other methods for evaluation and verification.

[0079] This example conducts ecological data analysis and enterprise data analysis on Jilin General Machinery (Group) Co., Ltd., and uses the above method to ultimately determine the following possible areas of future entry: new energy vehicle chassis parts (extended range models), intelligent network vehicle chassis parts (high-end pure electric models), home appliance parts, humanoid robot parts, and agricultural machinery parts; the resulting opportunity map is as follows: Figure 4 As shown, Figure 4 The above indicates the participating entities that have entered the ecosystem respectively. HaiLian Jinhui refers to HaiLian Jinhui Technology Co., Ltd., Quanfeng Automotive refers to Nanjing Quanfeng Automotive Precision Technology Co., Ltd., Zhejiang Shibao refers to Zhejiang Shibao Co., Ltd., and Rongtai Co., Ltd. refers to Jiangsu Rongtai Industrial Co., Ltd.

[0080] like Figure 2 As shown, this embodiment also provides a real-time monitoring system for entrepreneurial opportunities of platform enterprises based on digital technology, and the real-time monitoring system for entrepreneurial opportunities includes a digital intelligence base, an entrepreneurial opportunity module, a resource pool, and a multi-agent interaction module. The entrepreneurial opportunity module and the resource pool and the multi-agent interaction module influence each other, and the resource pool and the multi-agent interaction module influence each other. Entrepreneurial opportunity monitoring drives resource pool development, and the resource pool stimulates new entrepreneurial opportunities. Resource pool development deepens multi-agent interaction, and multi-agent interaction enriches the resource pool. Multi-agent interaction creates new entrepreneurial opportunities, and entrepreneurial opportunities promote the upgrading of multi-agent interaction; the entrepreneurial opportunity module is used to monitor the source of opportunities with the help of digital technology, and to infer the correlation between emerging opportunities, and then dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and construct an opportunity map; the multi-agent interaction module is used to promote in-depth interaction and cooperation between platform enterprises and other subjects; the real-time monitoring system for entrepreneurial opportunities is used to implement the above-mentioned real-time monitoring method for entrepreneurial opportunities.

[0081] The above description of the present invention using specific examples is intended only to facilitate understanding of the present invention and is not intended to limit the present invention. A person skilled in the art of the present invention may make several simple deductions, modifications, or substitutions based on the principles of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A real-time monitoring method for entrepreneurial opportunities of platform enterprises based on digital technology, characterized in that: The method comprises the following steps: Step 1. Initially obtain entrepreneurial opportunities; Step 2. Iteratively explore and derive new entrepreneurial opportunities; Step 2.

1. After initially identifying profitable entrepreneurial opportunities, the platform enterprise builds a resource pool guided by these opportunities to facilitate their realization. Simultaneously, it identifies and selects ecosystem partners that can potentially meet the resource needs of these entrepreneurial opportunities. Step 2.

2. Using the multi-agent interaction module, the platform enterprise interacts and collaborates with ecosystem partner 1 to form a resource combination 1 with competitive advantages. This resource combination 1 is stored in the resource pool. Step 2.

3. Based on the initial entrepreneurial opportunities obtained, the digital intelligence platform further analyzes and evaluates the entrepreneurial opportunities and selects the second ecological partner that can promote the entrepreneurial opportunities. Then, through the multi-agent interaction module, the platform enterprise interacts and collaborates with the second ecological partner to form a second resource combination with competitive advantages. This resource combination is stored in the resource pool. Step 2.

4. The Entrepreneurship Opportunity Module further explores and mines new entrepreneurial opportunities based on the updated data in the resource pool and the data generated by multi-agent interactions. It then repeats steps 2.1 to 2.4 based on the newly explored and mined entrepreneurial opportunities. Step 3. The data generated during the iterative exploration of entrepreneurial opportunities is input into the Digital Intelligence Platform as new data. The Digital Intelligence Platform then repeats Steps 1 and 2 based on the input data, continuously generating entrepreneurial opportunities. Step 4. Infer the correlations between emerging entrepreneurial opportunities and generate a set of interconnected entrepreneurial opportunities; Step 5. Based on the acquired entrepreneurial opportunity set, explore and discover entrepreneurial opportunities that can be applied to the market, and dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and build an opportunity map to achieve real-time monitoring of entrepreneurial opportunities.

2. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 1 is characterized in that: The specific steps of step 1 are: using the digital intelligence base to summarize the input data in text and analyze and evaluate the text data, compiling a list of products or services with the highest correlation with the platform enterprise, so as to preliminarily identify n segmented product or service opportunities that the platform enterprise may expand in the industry field in the past five years and n expandable product or service opportunities outside the industry field; wherein, the digital intelligence base adopts the open source LLAMA model and trains the model with the entrepreneurial opportunity development process.

3. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 2 is characterized in that: The specific steps of step 2 are: Step 2.

1. After initially identifying lucrative entrepreneurial opportunities, platform companies build resource pools, guided by these opportunities, to align resources within the pool with the monitored entrepreneurial opportunities and promote their realization. Simultaneously, while building the resource pools, the Digital Intelligence Platform, based on the resource requirements of the entrepreneurial opportunities, simultaneously identifies and screens ecosystem partners that can potentially meet the corresponding resource needs of the relevant entrepreneurial opportunities. Step 2.

2. Under the leadership of the platform enterprise, using the multi-agent interaction module, the platform enterprise interacts and collaborates with ecosystem partner 1, actively integrating their internal and external resources. Data analysis identifies the resource strengths and weaknesses of each entity, searches for resources needed to expand the opportunity space, and gains insight into the potential complementarities and connections between resources. Based on the interaction between the platform enterprise and ecosystem partner 1, a competitively advantageous resource combination 1 is formed. This resource combination 1 is stored in the resource pool. Simultaneously, the data generated by the exchange of ideas and in-depth discussions between the platform enterprise and ecosystem partner 1 is shared with the entrepreneurial opportunity module and the digital intelligence platform. Updates to the resource pool and interactions between the platform enterprise and ecosystem partner 1 are used to foster new entrepreneurial opportunities. Step 2.

3. Based on the initial acquisition of entrepreneurial opportunities, the digital intelligence platform further analyzes and evaluates the entrepreneurial opportunities and selects a second ecosystem partner that can promote the realization of the entrepreneurial opportunities. Under the leadership of the platform enterprise, the platform enterprise and the second ecosystem partner engage in in-depth interaction and collaboration with the multi-agent interaction module to explore the potential value of the entrepreneurial opportunity. The data generated by the exchange of ideas and in-depth discussions between the platform enterprise and the second ecosystem partner is shared with the entrepreneurial opportunity module and the digital intelligence platform. At the same time, the platform enterprise and the second ecosystem partner actively integrate their internal and external resources, identify the resource strengths and weaknesses of each entity through data analysis, search for the necessary resources to expand the opportunity space, gain insight into the potential complementarity and correlation between resources, and, based on the interaction between the platform enterprise and the second ecosystem partner, form a second resource combination with competitive advantages. This resource combination is stored in the resource pool. The update of the resource pool and the interaction between the platform enterprise and the second ecosystem partner further generate new entrepreneurial opportunities. Step 2.

4. The entrepreneurial opportunity module further explores and mines new entrepreneurial opportunities based on the updated data in the resource pool and the data generated by multi-agent interactions; Step 2.

5. Repeat steps 2.1 to 2.4 based on the new entrepreneurial opportunities you have explored and discovered. Step 2.

6. For each new entrepreneurial opportunity acquired, match the resources in the resource pool with scalable product or service opportunities one by one, screen entrepreneurial opportunities with opportunity-resource matching capabilities, and form a series of related new product or service opportunities.

4. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 2 is characterized in that: The data input in step 1 include: research data of platform enterprises during their development process, publicly available operational data of platform enterprises, and external industry analysis data; when the digital intelligence base initially obtains entrepreneurial opportunities based on the input data, it needs to combine external resources and preliminarily judge whether the platform enterprises can use existing internal and external resources to realize their own entrepreneurial opportunities, so as to match the entrepreneurial opportunities initially obtained with existing internal and external resources and output entrepreneurial opportunities that can pursue profits.

5. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 3 is characterized in that: The resource pool is constructed under the guidance of entrepreneurial opportunities. With the iteration of entrepreneurial opportunities, the resources in the resource pool are continuously shared, coordinated and updated. The update of the resource pool helps to explore new resources or innovative combinations of resources and stimulate new entrepreneurial opportunities. At the same time, the update of the resource pool promotes the interaction between platform enterprises and ecological partners, and enhances the depth and breadth of multi-subject interaction.

6. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 3 is characterized in that: The internal and external resources of the platform enterprises and ecological partners include data resources, financial resources, human resources, social network resources, knowledge resources and fixed assets.

7. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 3 is characterized in that: In the process of multi-agent interaction, information on new resources / resource combinations is captured in real time, and new resources are injected into the resource pool through resource sharing to expand the resource pool.

8. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 3 is characterized in that: Among the aforementioned Ecological Partners 1 and 2, corporate entities that can provide technological services will be regarded as important Ecological Partners.

9. The method for real-time monitoring of entrepreneurial opportunities of platform enterprises based on digital technology according to claim 3 is characterized in that: The opportunity map includes horizontally related opportunity spaces that can be expanded based on existing technologies and new markets, opportunity spaces that can be expanded based on new technologies and new markets, vertically related opportunity spaces that can be expanded based on existing technologies and markets, and opportunity spaces that can be expanded based on existing markets and new technologies.

10. A real-time monitoring system for entrepreneurial opportunities of platform enterprises based on digital technology, characterized by: The real-time monitoring system for entrepreneurial opportunities includes a digital intelligence base, an entrepreneurial opportunity module, a resource pool, and a multi-agent interaction module. The entrepreneurial opportunity module and the resource pool and the multi-agent interaction module influence each other, and the resource pool and the multi-agent interaction module influence each other. Entrepreneurial opportunity monitoring drives resource pool development, the resource pool stimulates new entrepreneurial opportunities, resource pool development deepens multi-agent interaction, multi-agent interaction enriches the resource pool, multi-agent interaction creates new entrepreneurial opportunities, and entrepreneurial opportunities promote the upgrading of multi-agent interaction; the entrepreneurial opportunity module is used to monitor the source of opportunities with the help of digital technology, and to infer the correlation between emerging opportunities, and then dynamically design the feasible space of opportunities based on the passage of time and ecological evolution, and construct an opportunity map; the multi-agent interaction module is used to promote in-depth interaction and cooperation between platform enterprises and other entities; the real-time monitoring system for entrepreneurial opportunities is used to implement the real-time monitoring method for entrepreneurial opportunities of platform enterprises based on digital technology as described in any one of claims 1 to 9.

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