Orchestration Capabilities Research Articles

On the Optimization of Kubernetes toward the Enhancement of Cloud Computing

With the vigorous development of big data and cloud computing, containers are becoming the main platform for running applications due to their flexible and lightweight features. Using a container cluster management system can more effectively manage multiocean containers on multiple machine nodes, and Kubernetes has become a leader in container cluster management systems, with its powerful container orchestration capabilities. However, the current default Kubernetes components and settings have appeared to have a performance bottleneck and are not adaptable to complex usage environments. In particular, the issues are data distribution latency, inefficient cluster backup and restore leading to poor disaster recovery, poor rolling update leading to downtime, inefficiency in load balancing and handling requests, poor autoscaling and scheduling strategy leading to quality of service (QoS) violations and insufficient resource usage, and many others. Aiming at the insufficient performance of the default Kubernetes platform, this paper focuses on reducing the data distribution latency, improving the cluster backup and restore strategies toward better disaster recovery, optimizing zero-downtime rolling updates, incorporating better strategies for load balancing and handling requests, optimizing autoscaling, introducing better scheduling strategy, and so on. At the same time, the relevant experimental analysis is carried out. The experiment results show that compared with the default settings, the optimized Kubernetes platform can handle more than 2000 concurrent requests, reduce the CPU overhead by more than 1.5%, reduce the memory by more than 0.6%, reduce the average request time by an average of 7.6%, and reduce the number of request failures by at least 32.4%, achieving the expected effect.

Making platform firms’ competitive advantage sustainable: The roles of network orchestration capabilities and collaborative innovation

Currently, platform firms lack a sustainable competitive advantage (SCA). Most studies on platform firms’ SCA have adopted a market, rather than a resource, perspective. However, compared with traditional firms, platform firms are highly dependent on external resources, establish close ties with network members. Thus, this research introduces Network Orchestration Theory, defines platform firms as sponsor–orchestrators, rather than player–orchestrators as in existing studies, and develops a theoretical model in which network orchestration capabilities enhance SCA via collaborative innovation, and environmental complexity moderates the main effect. The regression results from Chinese platform firms show that network orchestration capabilities (knowledge mobility, innovation appropriability and network stability) enhanced platform firms’ SCA, collaborative innovation mediated, and environmental complexity weakened the positive effect of innovation appropriability on SCA. This research provides suggestions for platform firms’ SCA, supports research on the classification of network orchestrators, and advances platform research and Network Orchestration Theory.

Configuring Technology Resources and Organizational Practices for Innovation Success

Overview: As novel technologies and organizational practices become available, innovation managers must identify and invest in those best suiting their needs. To ensure their firm’s innovativeness, innovation managers must integrate these new technologies and organizational practices into their resource portfolio and deploy them in combination with existing resources. In this article, we demonstrate the orchestration of technologies and practices that set the most innovative firms apart from less innovative. Using the fsQCA method, we found that high-performing firms configure their technological resources and organizational capabilities in bundles, whereas their less innovative counterparts are preoccupied with investing in technologies alone. Resource orchestration management is therefore a novel innovation management capability, which may accelerate a firm’s innovative capabilities. We offer practitioners managerial implications that emphasize the development of innovation managers’ resource orchestration capabilities.

Containerized deep learning in agriculture: Orchestrating GoogleNet with Kubernetes on high performance computing

SummarySmart Farming has become a cornerstone of modern agriculture, offering data‐driven insights and automation that optimize resource utilization and increase crop yields. The use of cutting‐edge technologies in agriculture has given rise to Smart Farming, which has transformed traditional farming practices into efficient, data‐driven operations. This paper explores the synergy between high‐performance computing (HPC) systems, Kubernetes orchestration, GoogleNet architecture, and containerization to redefine the future of farming. At the heart of this transformation lies the GoogleNet architecture, a deep learning powerhouse recognized for its efficiency and accuracy in image recognition tasks. The orchestration capabilities of Kubernetes, a versatile tool for managing containerized workloads efficiently on HPC clusters. Hence, in this work, we investigate the intricacies of deploying GoogleNet‐based deep learning models within containerized environments orchestrated by Kubernetes on HPC infrastructure. It explores resource optimization, scalability, security, and adaptability, all tailored to the unique demands of the agricultural domain to evaluate the effectiveness of the given technique it is compared with the existing techniques namely Hermes, Horus, CYBELE, and RZ‐SHAN. The attained ranges of proposed method of various measures of accuracy, precision, recall, and F1‐score are 98.65%, 97.45%, 97.87%, and 98.12% for the Pilot Wheat Ear dataset. Also, the processing time for the proposed approach is 181.50 and 120.2 m for the Pilot Wheat Ear Dataset and the Pilot soya bean farming dataset. The latency of the proposed approach attains a lower value of 1.5 and 1.1 s pilot soya bean farming dataset and Pilot Wheat Ear dataset. The experimental outcome demonstrates the efficiency of the proposed approaches to improve Smart Farming agriculture.

Scaling circular economy business models: A capability perspective

AbstractIn a context of growing environmental challenges, circular economy (CE) business models appear necessary for business to contribute positively to the ecological transition. While platform business models have been identified as a new and promising model in CE, we still lack a fine‐grained understanding of the critical capabilities involved in developing and scaling them. To fill this gap, we build on a single case study of Phenix, a French‐based fast‐growing start‐up in the food industry, tackling the issue of food waste. We identify three core managerial capabilities involved in the successful scaling of Phenix's business model. In addition to ecosystem orchestration capabilities, we identify two types of ambidextrous capabilities – forms of ambidexterity operating both at the organizational and at the institutional level. Our analysis highlights the importance of considering these capabilities in a bundle as they collectively contribute to the performance and scaling potential of the business model. We also call for an increased consideration of the role of institutional factors in shaping opportunities to design and scale profitable business models.

On the Optimal Deployment of Virtual Network Functions in Non-Terrestrial Segments

In the upcoming Sixth-Generation (6G) of mobile communication systems, space network entities will cooperate with conventional terrestrial networks to provide three-dimensional wireless connectivity around the World. By considering the resulting massive amount of data to be managed into non-terrestrial segments, it will be necessary to dynamically configure functionalities across space network entities. Preliminary contributions in this context focus on quasi-static scenarios, while ignoring the challenging issues (i.e., intermittent visibility, dynamic network configuration, and communication delays) introduced by satellites’ movement and communication protocols enabling the integration of terrestrial and non-terrestrial networks. To bridge this gap, this work presents a network architecture with novel orchestration capabilities of services into non-terrestrial segments. In the proposed approach, the interaction between terrestrial and non-terrestrial entities and the cloud has been detailed across service request, configuration, and provisioning phases. Then, starting from a system model describing the network configuration and the resulting deployment delays of services, an optimization problem has been formulated to dynamically allocate Virtual Network Functions (VNFs) among LEO CubeSats over a looking-ahead horizon, based on service requests, computational capabilities of the involved CubeSats, visibility matrices, and expected deployment delay bounds. Finally, the proposed optimization problem has been solved through three heuristic strategies. Computer simulations have been carried out to demonstrate the ability of the developed strategies to achieve results close to the optimal solution and to ensure better performance against a benchmark scheme.

Resource orchestration capability for innovation: towards an empirically validated measurement framework

PurposeThe purpose of this research is to conceptualize, define and measure resource orchestration capabilities of R&D teams pursuing advanced scientific research and technological innovation at public-funded R&D organizations in India.Design/methodology/approachA series of five mutually exclusive studies were designed over two years to develop and validate the ROCI scale within public research and development (R&D) organizations pursuing advanced scientific research and technological development in India. The first three studies address the refinement, reduction and rationalization of items for measuring the ROCI construct. The next study explores the factor structure underlying the ROCI construct whereas the subsequent one confirms the three-factor structure within empirical settings.FindingsThe resource orchestration capability towards innovation (ROCI) construct reflected through three sub-dimensions namely – adaptive structuring capability (ASC), synergistic leveraging capability (SLC) and decentralized decision-making capability (DDC), each loaded with their respective items can be used for capability measurement in public-funded R&D organizations.Practical implicationsR&D managers can use this ROCI scale to measure, monitor and improve the innovation-oriented resource orchestration capabilities of their R&D teams and help them improve their innovation performance.Originality/valueThis research contributes to the extant literature on resource orchestration for innovation management in three unique and original ways – theoretically-grounded conceptualization, empirical measurement and rigorous validation through multiple studies conducted in public-funded R&D organizations in India.

SDN Integration with Firewalls and Enhancing Security Monitoring on Firewalls

Software-defined Networking (SDN) has revolutionized the way networks are managed and operated by decoupling the control plane from the data plane. This separation allows for centralized control and programmability, offering greater flexibility, scalability, and agility in network management.Firewalls, renowned for their robust security features, play a critical role in protecting network traffic. Integrating SDN principles and technologies with Firewalls presents an opportunity to enhance their management, scalability, and orchestration capabilities. This paper explores the integration of SDN with Firewalls, focusing on leveraging SDN controllers and software defined networking architectures to augment the underlying BSD-based operating system. By integrating SDN controllers, organizations can centrally manage firewall policies, dynamically enforce security rules, and gain real-time visibility into network traffic. Furthermore, SDN enables efficient scalability of Firewalls by dynamically allocating resources and load balancing traffic. This paper also explores methods to enhance security monitoring and analytics on Firewalls. It focuses on leveraging advanced techniques, technologies, and integration approaches to optimize security monitoring and strengthen the firewall’s ability to detect and respond to security threats. Security monitoring and analytics are crucial components of modern network infrastructure to detect and mitigate potential threats. Firewalls, known for their robust security features, serve as critical gateways for network traffic. Enhancing security monitoring and analytics capabilities on Firewalls can significantly improve threat detection, incident response, and overall network security posture. Index Terms—Firewalls , Software Defined Networking(SDN) , Enhancing

Green entrepreneurial orientation and knowledge creation process as enablers of green innovation performance: the moderating role of resource orchestration capability

PurposeThe current study aims to ascertain how green entrepreneurial orientation (GEO) affects green innovation performance (GIP) through the mediating mechanism of the knowledge creation process (KCP) and whether or not these associations can be strengthened or hampered by the moderating impacts of resources orchestration capabilities (ROC).Design/methodology/approachThe research used data from managers at various levels in 154 manufacturing enterprises in Pakistan to evaluate the relationships among the constructs using hierarchical regression analysis and moderated mediation approach.FindingsThe study indicates that GEO substantially impacts firms' GIP. GEO and GIP's relationship is partially mediated by two KCP dimensions: knowledge integration (KI) and knowledge exchange (KE). Furthermore, ROC amplifies not only the effects of GEO on KE but also the effects of KE on GIP. The moderated mediation results demonstrate that KE has a greater mediating influence on GEO and GIP when ROC is higher.Research limitations/implicationsTo better understand GEO's advantages and significance, future studies should look into the possible moderating mechanisms of environmental, organizational culture/green capability in the association between GEO, KCP and GIP.Practical implicationsThe research helps expand the field of green entrepreneurship and GIP literature by providing a deeper knowledge of GEO and offering insight into how to boost GI in manufacturing firms.Originality/valueThis research helps fill in knowledge gaps in the field by delving further into the mechanisms by which GEO promotes GIP, both directly and indirectly, via the mediating role of KCP and the moderating impacts of ROC.

OpenFog-Compliant Application-Aware Platform: A Kubernetes Extension

Distributed computing paradigms have evolved towards low latency and highly virtualized environments. Fog Computing, as its latest iteration, enables the usage of Cloud-like services closer to the generators and consumers of data. The processing in this layer is performed by Fog Applications, which are decomposed into smaller components following the microservice paradigm and encapsulated into containers. Current state-of-the-art container orchestrators can manage hundreds of simultaneous containers. However, Kubernetes, being the de facto standard, does not consider the application itself as a top-level entity, which limits its orchestration capabilities. This raises the need to rearchitect Kubernetes to benefit from application-awareness, which refers to an orchestration method optimized for managing the applications and the set of components that comprise them. Thus, this paper proposes an application-aware and OpenFog-compliant architecture that manages applications as first-level entities during their lifecycle. Furthermore, the proposed architecture allows the definition of organizational structures to group subordinated applications based on user-defined hierarchies. This logical structuring makes it possible to outline how orchestration should be shaped to reflect the operating model of a system or an organization. The proposed architecture is implemented as a Kubernetes extension and provided as an operator.

SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving

The growing adoption of hardware accelerators driven by their intelligent compiler and runtime system counterparts has democratized ML services and precipitously reduced their execution times. This motivates us to shift our attention to efficiently serve these ML services under distributed settings and characterize the overheads imposed by the RPC mechanism ('RPC tax') when serving them on accelerators. The RPC implementations designed over the years implicitly assume the host CPU services the requests, and we focus on expanding such works towards accelerator-based services. While recent proposals calling for SmartNICs to take on this task are reasonable for simple kernels, serving complex ML models requires a more nuanced view to optimize both the data-path and the control/orchestration of these accelerators. We program today's commodity network interface cards (NICs) to split the control and data paths for effective transfer of control while efficiently transferring the payload to the accelerator. As opposed to unified approaches that bundle these paths together, limiting the flexibility in each of these paths, we design and implement SplitRPC - a control + data path optimizing RPC mechanism for ML inference serving. SplitRPC allows us to optimize the datapath to the accelerator while simultaneously allowing the CPU to maintain full orchestration capabilities. We implement SplitRPC on both commodity NICs and SmartNICs and demonstrate how GPU-based ML services running different compiler/runtime systems can benefit. For a variety of ML models served using different inference runtimes, we demonstrate that SplitRPC is effective in minimizing the RPC tax while providing significant gains in throughput and latency over existing kernel by-pass approaches, without requiring expensive SmartNIC devices.

Performance Gap and Innovation Ambidexterity: A Moderated Mediation Model

Innovation ambidexterity has become a crucial strategic action for creating sustainable competitive advantages. This research provides novel insights by establishing a connection between performance gaps and innovation ambidexterity. We employ the organization’s resource acquisition and management perspective to construct and empirically assess a moderated mediation model that sheds light on the underlying process—through the dual-mediating path of network broadening (NB) and network deepening (ND) and the moderating role of resource orchestration capabilities. Using subjective surveys and objective-matched data from 362 Chinese listed firms, we confirm the positive-performance-gap-combined innovation ambidexterity relationship, and we find that NB and ND play a parallel mediating role between performance gap and balanced and combined innovation ambidexterity, with ND playing a stronger mediating role than NB. Furthermore, resource orchestration capabilities play a moderating role between NB and balanced and combined innovation ambidexterity, as well as between ND and balanced and combined innovation ambidexterity. These results contribute to the research on social network and ambidexterity literature and provide guidance on how to overcome firms’ performance dilemmas. However, our study has certain methodological limitations that constrain the implications of our results, offering intriguing opportunities for future research.

Transition to a sustainable food supply chain during disruptions: A study on the Brazilian food companies in the Covid-19 era

The COVID-19 pandemic has brought negative impacts to global supply chains, in particular to the agricultural sector. Although these companies have been developing programs to mitigate the impacts caused by COVID-19, researchers have been worried about a possible weakening of the adoption of sustainable initiatives due to a focus on dealing with the consequences of the pandemic. Grounded on the Resource Orchestration Theory, the goal of this study was to assess the effects of the COVID-19 outbreak on sustainable (environmental, social, and economic) performance in the context of agri-food supply chains. To do so, a questionnaire survey was used to collect data from 349 different medium and large agri-food companies in Brazil. Data were analyzed using Structural Equation Modeling-Partial Least Squares technique. This study has found out that, under the impacts arising from COVID-19 pandemic (1) supply management and transportation and logistics management had a positive impact on food supply chains' sustainable performance; (2) the effects of relationship management and supply chain wide impact management were found to be negative on sustainable performance; and (3) the effects of demand and production management on sustainable performance were not considered significant. We propose a framework that clearly represents the relationship between the disrupted supply chain areas and sustainable performance through the development of orchestration capabilities. By knowing which kinds of impacts produce the most significant effects on sustainable performance, policy makers and managers will be able to make decisions and take actions to avoid negative effects and to improve firms’ sustainable performance.

Orchestration capabilities in circular supply chains of post-consumer used clothes – A case study of a Swedish fashion retailer

In a circular economy environment, resources in various supply chain loops need to be continuously developed and coordinated across an ecosystem of independent companies. The purpose of this study is to explore the orchestration capabilities of an ecosystem-leading company in circular textile supply chains. The study takes an interactive research approach at a Swedish fashion retailer and describes the three overarching orchestration capabilities of (1) managing circular consumer offerings, (2) managing circular supply chain activities, and (3) partnering. Based on the emergent theoretical lens of orchestration capabilities, this research increases knowledge on how to manage circular practices across organizations. In particular, the findings signal the importance of how to organize resources in conjunction with consumer offerings and how an ecosystem-leading company can do this. The circular ecosystem context also draws attention to the need for collaboration. Collaboration is considered a major characteristic of successful ecosystem performance, and the orchestration capabilities developed in this research provide a useful perspective and guidance for designing such collaboration.

Multinational orchestration: a meta-theoretical approach toward competitive advantage

PurposeThe purpose of this study is to critically evaluate the canonical contribution of the classical theories of multinational enterprises (MNE) and complement them with congruous multi-theoretical lenses to a propose a meta-theoretical view for competitive advantage. The proposed framework is applied to fundamental questions of MNE, and exploratory insights are revealed.Design/methodology/approachThis study sought to review the literature on various paradigms such as resource-based view, knowledge-based view, attention-based view, relational view, dynamic capability view and institution-based view to propose a meta-theoretical approach explicating the phenomenon of competitiveness.FindingsThis study proffers that the key to global competitiveness lies in building micro-foundational, multidimensional and multilevel multinational orchestration capabilities. The requisite orchestration capabilities are capabilities par excellence that explain: how organizational capabilities originate through the cognition of individual employees at the micro level; how individual-level abilities are amplified when they are harnessed through relational capabilities to form knowledge capabilities at the meso-level; and how the confluence of knowledge capabilities and higher order dynamic capabilities gives rise to heterogeneous firm-level knowledge-based dynamic capabilities that can be combined with institution capabilities to aggrandize the prediction of competitive advantage for MNEs.Originality/valueThe successful development of MNE competitiveness as a field of academic inquiry, brought about by an increasing amount of theoretical specialization, has come at the price of significant fragmentation of the overall scientific quest. The abovementioned paradigms and their underlying constructs have primarily been conceptualized in silos. The classical theories of MNE have been used a starting point to which complementary multidisciplinary views have been scaffolded to gain a more nuanced understanding of global competitiveness.

Orchestrating in the entrepreneurial ecosystem – orchestrator roles and role-specific capabilities in the regional health technology ecosystem

PurposeThis study aims to define orchestrator roles and related orchestration capabilities in the entrepreneurial ecosystem (EE) to understand how companies (especially small and medium-sized enterprises and startups) could benefit from the surrounding ecosystem to develop their business.Design/methodology/approachA qualitative case study of the regional ecosystem built around health technology is researched to get an in-depth understanding of the orchestration roles taken by actors in the ecosystem and, likewise, related bundles of orchestrator role-specific capabilities.FindingsAltogether, eight roles and related orchestration capabilities are defined. First, “opinion leaders,” “business facilitators” and “regulation informants” provide resources for participants. Second, “relationship promoters,” “coordinators” and “commanders” create prerequisites for collaboration. Finally, “integrators” and “complementors” help to create concrete offerings. The roles taken can be simultaneous, and they are in constant change as positions and resources of actors change.Research limitations/implicationsTheoretically, this study contributes to the existing EE and orchestration capability research by studying orchestrator roles and related capabilities in the context of an entrepreneurial health tech ecosystem, a phenomenon that has not received sufficient research attention yet.Practical implicationsManagers will be able to use the lessons learned from this study in understanding, using and developing their capabilities, positions and activities in the network. For policymakers, understanding EE reality and dynamics is useful when developing policies for regional growth, likewise in constructing and developing industrial ecosystems to support entrepreneurship in the region.Originality/valueThe study provides novel in-depth knowledge of orchestration in regional, EEs. It complements the currently dominating conceptual research and brings a micro-level perspective that has mostly been lacking in EE studies.

From product system to ecosystem: How firms adapt to provide an integrated value proposition

AbstractResearch SummaryEcosystems represent a key challenge for established firms, shifting their focus from products to system‐level collaboration around integrated value propositions. This longitudinal case study of a machine manufacturer reports how an established firm created an ecosystem to enhance its focal product. Drawing on an activity system lens, we develop a model how firms can achieve fit around an integrated value proposition through mutual adaptation of product and ecosystem activities. This strategic transformation is supported by a shift towards collaborative organizational design. We elaborate on how firms can create non‐generic complementarities between products and the emerging ecosystem through product adaptations, demonstrate the role of internal and external collaboration in developing ecosystem orchestration capabilities, and highlight data generation and processing as critical factors in realizing complementarities.Managerial SummaryDigital ecosystems that enable new integrated value propositions pose a challenge for established firms, as these new activities often fundamentally conflict with the existing product business. Our case study of a machine manufacturer shows how a firm can leverage its product‐focused activities to establish itself as an ecosystem leader through the mutual adaptation of its product and ecosystem activities. The focal firm modularized its products and enhanced their information‐processing capacities while simultaneously embedding them in an integrative platform with open interfaces for partner components. The firm was thus able to realize data‐driven complementarities between the platform and its components. Supporting the ecosystem‐creation process required a shift of the organizational design towards collaboration, both internally and with partners.

Temporality, temporariness and keystone actor capabilities in innovation ecosystems

The last years have witnessed a growing scholarly interest in innovation ecosystems, including how keystone actors establish and orchestrate collaborative innovation. In parallel, temporary collaborative innovation efforts are becoming increasingly important to address societal problems. Temporary structures are also used to create a sense of urgency to prompt change. Thus, innovation ecosystems often incorporate temporary structures. However, while keystone actor capabilities to orchestrate an ecosystem over its lifecycle have been studied, the needs for capabilities to coordinate multiple parallel processes with different temporal logics have not been addressed. In this paper, we contribute to the literature on innovation ecosystems in industrial marketing research by examining the challenges and opportunities associated with temporary structures in an innovation ecosystem. Furthermore, we theorize on the implications for the keystone actor orchestration capabilities. The paper is based on a longitudinal case study of a construction project that was used by a keystone actor to gain momentum in its innovation work. Fourteen innovation projects, each involving external partners, were connected to the construction project. We conclude that temporary structures are powerful to enhance innovation, but that preparation is essential to enable the seizing of opportunities in a collaborative and transitory context. Specific orchestration capabilities relate to integrating a linear, time-bound logic with an iterative innovation logic, and to matching ambitions in at the temporary systems with capabilities at the level of the permanent organizations. An important aspect is to find a balance between temporary external resources and long-term internal resources.

Built-in security framework research for 6G network

6G will enable seamless coverage across land, sea, sky, and space, and provide users with on-demand services. 6G requires high security and its security capabilities are expected to serve as an independent logical plane under the 6G network architecture to provide services and guarantee for 6G networks and applications. This article analyzes and summarizes the three aspects of 6G security evolution requirements. First, the distributed autonomy of network architecture increases the exposure surface of network equipment and functions, and puts forward the requirements for high security of network elements and subnets themselves. Second, the cloud and virtualization technologies increase the risk of internal attacks, and require security protection mechanisms within network elements and the internal network based on the concept of zero trust. Third, providing on-demand services to customers requires intelligent collaboration mechanisms within the network, as well as an elastic and programmable security capability pool. Based on the above requirements and the development of security technologies, this paper proposes a 6G security construction idea with the built-in security framework as the basis, which includes security capability layer, security policy controller, security intelligence center and security management center, collaborating with the trusted infrastructure, orchestration capabilities and artificial intelligence abilities. The framework is built upon the security capability inside the network, coordinated with the trust consensus and the intelligent collaboration, which forms a security architecture and related operating mechanisms with active immunity, trustworthiness, and collaborative elasticity. By means of the practical case of building a trust link, the framework is proved to be able to provide flexible and on-demand security services for 6G networks and applications.

Digital finance innovation in green manufacturing: a bibliometric approach.

In the era of Industry 4.0, the innovative applications of the industrial internet of things continue to deepen, and the trend of digital transformation of the green manufacturing industry continues to expand. In this context, the study of digital finance innovation in green manufacturing enterprises is conducive to transforming and upgrading enterprises and national economic development. In order to review the theoretical foundations and the current state of research under this topic, this paper provides an overview of digital finance innovation in green manufacturing companies based on 296 papers published between 1900 and 2021 through bibliometric and scientific visualization methods. This paper uses HistCite to identify the most influential authors, institutions, and countries and uncover the lineage of research on digital finance innovation in green manufacturing companies. At the same time, VOSviewer is used to identify research hotspots and research clusters under the topic. Finally, on this basis, this paper classifies the types of digital innovation from the perspective of value creation. It proposes a theoretical framework for the realization path of digital finance innovation in green manufacturing enterprises based on intelligent servitization and orchestration capabilities. The findings of this paper enrich the existing innovation theory and facilitate scholars to conduct future research more effectively.