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Network orchestration has received widespread attention from scholars engaged in network-relationship governance research. This study aims to explore progress in network orchestration research and future prospects.

In this study, 105 articles related to network orchestration from the Web of Science Core Collection Database for the period 2006–2022 are collected as sample data, and bibliometric relationship maps of network orchestration research are visually presented using the CiteSpace software.

First, this study presents distributions of articles, methods, journals, authors, institutions and countries/regions in network orchestration research. Second, based on a reference co-citation analysis, three articles are identified as the key literature in network orchestration research. Based on a keyword co-occurrence analysis, the hotspots are found to include studies related to overall network and individual levels. A cluster analysis reveals six themes: innovation ecosystem, sustainable development, product development, sourcing, hub firm and innovation network. From a burst detection analysis, three frontiers emerge: organisation, collaboration and governance. Finally, some future research directions are proposed and important issues are raised.

This study is the first to reveal the progress of network orchestration research using quantitative bibliometric methods, and it provides insights to scholars and offers practitioners with a better understanding of network orchestration.

In the digital era, the competitiveness of an enterprise is highly dependent on the success of its digital transformation. The effectiveness of such transformation, in turn, relies heavily on the organization's strategic vision and resource fitness. Accordingly, the authors aim to explore the impact of strategic vision on digitalization (SVD) on the digital transformation of small- and medium-sized enterprises (SMEs), drawing on the perspective of resource orchestration theory.

Based on first-hand interview data from 347 Chinese SMEs, the research model was tested empirically by both Structural Equation Modeling and Fuzzy Set Qualitative Comparative Analysis (fsQCA).

The study results supported that the positive effect of SVD on digital transformation, and the mediating effect of resource orchestration (resource structuring, resource bundling and resource leveraging) accounts for the relationship between SVD and digital transformation. Further, the fsQCA showed that neither SVD nor resource orchestration alone constitutes a necessary condition for high digital transformation in SMEs, and that SVD and resource orchestration elements constitute three configuration paths that drive SMEs to achieve high-level digital transformation.

To the authors knowledge, this is the first study of its kind to theorize and empirically examine how SVD affects SMEs digital transformation. In addition, the authors have highlighted the importance of resource orchestration in forging a link between SVD and digital transformation. The research contributes to the resource orchestration theory and digitalization literature and provides guidelines on how SMEs can realize digital transformation.

Disasters are growing in frequency and scale, unmasking the systemic vulnerabilities of modern supply chains and highlighting the need to understand how to respond to such events. In the context of an extreme event such as the COVID-19 pandemic, this research focuses on how networks of organizations leverage their combined resources and capabilities to develop, manufacture and deliver new products outside their traditional markets.

Following a theory elaboration process, the authors build on resource orchestration theory to develop data collection and analysis protocols to support a multi-case study research design. This research investigates four cases of newly formed networks that emerged in four different countries – Colombia, Italy, the United States and the United Kingdom–in response to the COVID-19 pandemic.

These four networks in the investigation share common characteristics in terms of motivation and approach, creating patterns from which theoretical generalizations are developed into a series of propositions regarding the process of network-level resource orchestration under extreme uncertainty.

The research shows how networks and the organizations within them can streamline processes, swiftly build new relationships and develop a balanced risk management approach to extreme uncertainty.

This research contributes to theory by extending the resource orchestration model to a network level and showing how extreme uncertainty can lead to the emergence of networks and alter the motivations and goals of the member organizations, allowing them to be more responsive.

This 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.

A 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.

Altogether, 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.

Theoretically, 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.

Managers 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.

The 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.

There is a need to understand value co-creation in service ecosystems that engage multiple actors with different goals. This study aims to extend the understanding of value co-creation by considering the orchestration of service ecosystems with reference to resource-integration processes.

An exploratory case study approach is used to analyze actors' roles in resource orchestration within a service ecosystem, gathering data from the macro, meso and micro levels of an Italian hospitality and tourism services ecosystem.

A framework is devised that highlights the intersection between orchestration and resource integration for value co-creation processes across the macro, meso and micro levels in service ecosystems. This extends the understanding of service ecosystem dynamics, especially how new value co-creation structures emerge, by emphasizing the circular causality between system levels. Findings show how orchestrating resource integration activities initiate and institutionalize non-linear value co-creation processes.

Resource integration orchestration within and between ecosystem levels is a possible response to societal challenges and for creating economic, cultural and social value across the community. The study offers policymakers insights into developing new competencies for developing actions according to a logic of socially and sustainable value.

This study advances the understanding of service orchestration by expanding the concept and the feasibility of service ecosystem orchestration. It offers insights into the importance of orchestrating resource integration to the emergence and vitality of service ecosystems themselves. The study responds to the need for empirical studies on value co-creation.

Mashups have been studied extensively in the literature; nevertheless, the large body of work in this area focuses on service/data level integration and leaves UI level integration, hence UI mashups, almost unexplored. The latter generates digital environments in which participating sources exist as individual entities; member applications and data sources share the same graphical space particularly in the form of widgets. However, the true integration can only be realized through enabling widgets to be responsive to the events happening in each other. The authors call such an integration “widget orchestration” and the resulting application “mashup by orchestration”. This article aims to explore and address challenges regarding the realization of widget‐based UI mashups and UI level integration, prominently in terms of widget orchestration, and to assess their suitability for building web‐based personal environments.

The authors provide a holistic view on mashups and a theoretical grounding for widget‐based personal environments. The authors identify the following challenges: widget interoperability, end‐user data mobility as a basis for manual widget orchestration, user behavior mining – for extracting behavioral patterns – as a basis for automated widget orchestration, and infrastructure. The authors introduce functional widget interfaces for application interoperability, exploit semantic web technologies for data interoperability, and realize end‐user data mobility on top of this interoperability framework. The authors employ semantically enhanced workflow/process mining techniques, along with Petri nets as a formal ground, for user behavior mining. The authors outline a reference platform and architecture that is compliant with the authors' strategies, and extend W3C widget specification respectively – prominently with a communication channel – to foster standardization. The authors evaluate their solution approaches regarding interoperability and infrastructure through a qualitative comparison with respect to existing literature, and provide a computational evaluation of the behavior mining approach. The authors realize a prototype for a widget‐based personal learning environment for foreign language learning to demonstrate the feasibility of their solution strategies. The prototype is also used as a basis for the end‐user assessment of widget‐based personal environments and widget orchestration.

The evaluation results suggest that the interoperability framework, platform, and architecture have certain advantages over existing approaches, and the proposed behavior mining techniques are adequate for the extraction of behavioral patterns. User assessments show that widget‐based UI mashups with orchestration (i.e. mashups by orchestration) are promising for the creation of personal environments as well as for an enhanced user experience.

This article provides an extensive exploration of mashups by orchestration and their role in the creation of personal environments. Key challenges are described, along with novel solution strategies to meet them.

As inter-company cooperation and competition grow, orchestration capability plays an increasingly important role. This paper aims to present an overview of orchestration capability in the business and management field, identify the current state and explore future research trends.

This literature review is based on 132 papers collected from the Web of Science (WoS) Core Collection data (1997–March 2021). HistCite was used to analyze the year of publication, leading scholars, influential articles, key journals, top countries and institutions. Research streams were identified from analysis of co-citation, bibliographic coupling and keyword co-occurrence by HistCite and VOSviewer.

This paper finds that Hitt MA is the most prolific scholar, and the Strategic Management Journal is the most dominating publication among the orchestration capability publications. The USA and Texas A&M University are the most influential countries and institutions, respectively. Three major clusters are identified based on citation mapping, bibliographic coupling analysis of documents and keywords co-occurrence analysis: dynamic capability and resource-based view, resource orchestration and network orchestration. Based on the three clusters, the authors analyze how resource orchestration and network orchestration research develops over time and summarize the evolutionary path of orchestration capability literature.

This article builds on data from WoS Core Collection, and some new but important articles may not be analyzed, since bibliometrics consider high citation as an indicator to select influential articles.

With the rapid development of the digital economy, the frequent interactions between companies pose many challenges for businesses. Enterprises can take orchestration actions effectively and efficiently from various perspectives and continuously improve their orchestration capabilities in collaboration with partners to achieve and sustain competitive advantages.

This paper provides a systematic review of orchestration capability using bibliometric analysis, which has not been employed in previous studies. Besides, this article presents a broad understanding of how scholars have researched the subject over the years.

Driven by the dual-carbon target and the widespread digital transformation, leveraging digital technology (DT) to facilitate sustainable, green and high-quality development in heavy-polluting industries has emerged as a pivotal and timely research focus. However, existing studies diverge in their perspectives on whether DT’s impact on green innovation is synergistic or leads to a crowding-out effect. In pursuit of optimizing the synergy between DT and green innovation, this paper aims to investigate the mechanisms that can be harnessed to render DT a more constructive force in advancing green innovation.

Drawing from the theoretical framework of resource orchestration, the authors offer a comprehensive elucidation of how DT intricately influences the green innovation efficiency of enterprises. Given the intricate interplay within the synergistic relationship between DT and green innovation, the authors use the fuzzy-set qualitative comparative analysis method to explore diverse configurations of antecedent conditions leading to optimal solutions. This approach transcends conventional linear thinking to provide a more nuanced understanding of the complex dynamics involved.

The findings reveal that antecedent configurations fostering high green innovation efficiency actually differ across various stages. First, there are three distinct configuration patterns that can enhance the green technology research and development (R&D) efficiency of enterprises, namely, digitally driven resource integration (RI), digitally driven resource synergy (RSy) and high resource orchestration capability. Then, the authors also identify three configuration patterns that can bolster the high green achievement transfer efficiency of enterprises, including a digitally optimized resource portfolio, digitally driven RSy and efficient RI. The findings not only contribute to advancing the resource orchestration theory in the digital ecosystem but also provide empirical evidence and practical insights to support the sustainable development of green innovation.

The findings can offer valuable insights for enterprise managers, providing decision-making guidance on effectively harnessing the innovation-driven value of internal and external resources through resource restructuring, bundling and leveraging, whether with or without the support of DT.

The research findings contribute to heavy-polluting enterprises addressing the paradoxical tensions between digital transformation and resource constraints under environmental regulatory pressures. It aims to facilitate the simultaneous achievement of environmental and commercial success by enhancing their green innovation capabilities, ultimately leading to sustainability across profit and the environment.

Compared with previous literature, this research introduces a distinctive theoretical perspective, the resource orchestration view, to shed light on the paradoxical relationship on resource-occupancy between DT application and green innovation. It unveils the “black box” of how digitalization impacts green innovation efficiency from a more dynamic resource-based perspective. While most studies regard green innovation activities as a whole, this study delves into the impact of digitalization on green innovation within the distinct realms of green technology R&D and green achievement transfer, taking into account a two-stage value chain perspective. Finally, in contrast to previous literature that predominantly analyzes influence mechanisms through linear impact, the authors use configuration analysis to intricately unravel the complex influences arising from various combinatorial relationships of digitalization and resource orchestration behaviors on green innovation efficiency.

To co-create value through dynamic collaborations, enterprises and their suppliers need to orchestrate the integration of complementary resources when providing business services. As such enterprises' strategic decision to apply a plural sourcing strategy to establish dynamic collaborations with their suppliers implies that both in-house and outsourced business services should be bundled into a business services portfolio. However, the antecedents that affect a business services portfolio have rarely conceptually been identified.

Drawing on resource orchestration theory, the authors theoretically developed and empirically validated a business services portfolio conceptual model. The model aims at explaining the critical antecedents to a business services portfolio based on a unique data set, comprising 121 international enterprises with variation in the degree of outsourcing, size, geographies and maturity. Partial least squares structural equation modelling was used to examine the relationships among the antecedents and a business services portfolio.

The findings show that the antecedent, i.e. plural sourcing strategy, modularised business processes and customer orientation have a direct and significant effect on the enterprises' business services portfolio orchestration. The results of the mediation test indicate that modularised business processes fully mediate the relationships between three independent variables with the orchestration of business services portfolio.

This study is the first to analyse the impact of plural sourcing strategy, modularised business processes and customer orientation on the business services portfolio orchestration from a plural sourcing context. Additionally, it examines the mediating role of modularised business processes in the relationship between the antecedents and business services portfolio orchestration.

The 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.

A 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.

The 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.

R&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.

This 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.