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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.

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.

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.

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.

This research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.

A framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.

A relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.

The authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.

This study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.

In today’s ever-increasing context of volatile, uncertain, complex and ambiguous market conditions, the shifts of countries’ protectionist policies toward inward Foreign Direct Investment (FDI), and an increased gap between headquarters’ (HQ) and subsidiaries’ perspectives on what makes business sense, it has become apparent that challenges toward foreign expansion are becoming more severe and require a multidimensional dynamic approach. The authors draw from orchestration theory, dynamic capabilities literature and previous literature on dimensions of internationalization [specifically, density, geographic distance and degree of diversity of the multinational corporation (MNC) subsidiary network] to argue that firms must enhance their orchestration capability. In doing so, this study aims to highlight the nuances of orchestrating a three-dimensional (3D) conceptualization of MNCs’ international configurations.

The authors analyzed the patterns of configurations that are adopted by MNCs. This sample was made up of the international configuration of 78 Fortune 500 MNCs consisting of 3,318 foreign subsidiaries. Furthermore, the authors examined the impact of different configurations of the 3Ds on firm performance using ordinary least squares regression analysis.

While the research did indicate that the sample MNCs adopted the sample configurations of the three internationalization dimensions more frequently than others, the authors found that orchestrating MNCs with an international configuration characterized by high density, low geographic distance and low internetwork scope diversity had a positive impact on firm performance.

While international expansion is often motivated by financial performance or market/resource gains, it is also impacted by the firm’s dynamic capability profile. Thus, as MNCs seek to continue to expand globally, they must assess and, if needed, develop their management team’s orchestration capability, which includes effectively determining how the addition or removal of a subsidiary will impact the density, geographic distance and diversity dynamics of the MNC’s international configuration. Finally, the management team needs to be able to devise plans to respond to the potential challenges associated with each of these dimensions.

The contribution of this study includes bringing a dynamic capabilities lens to the extant international business literature examining the multinationality and performance relationship by highlighting the importance of an MNC’s process orchestrating capability that is needed for firms to effectively manage increasingly complex subsidiary networks. It also conceptually explains and empirically supports that some configurations are likely to yield higher returns than others, which can act as a guide for firms as they are seeking to expand in more geographically distant as well as diverse sectors. Furthermore, this study highlights the need for a multidimensional simultaneous approach to the examination of internationalization to performance relationship. Finally, it highlights the tradeoffs that MNCs must address across the orchestration of the three internationalization dimensions using a dynamic capabilities theoretical lens that acknowledges the differences in perspective that exist between HQs and subsidiaries.

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.

The purpose of this paper is to examine the mechanisms through which the use of enterprise systems (ESs) enhances buyer-supplier integration (BSI). More specifically, the authors explain a model where ES enhances BSI indirectly, mediated by inventory management capabilities (IMCs), as the way ES enhances BSI remains under-explored in the literature.

Application of the resource orchestration framework to explain how capabilities and mechanisms interplay to enhance BSI. Data were collected by means of a survey instrument. Data collection took place as part of a larger project, sponsored by the Spanish Government, to evaluate logistics competitiveness in Spain.

ES enhances BSI by serving as a coordinating mechanism that maintains capability configurations in a value-creating alignment. IMC plays a key, yet under-explored role as a mediating mechanism that supports ES-enabled BSI.

First, this research does not fully capture the multi-party nature of the supply chain context. Second, data collection was limited to companies that were more likely to have a systematic approach to logistics issues (i.e. large- and medium-sized companies) and companies based in Spain.

This paper enhances both scholarly and practitioner understanding of the mechanisms through which the implementation and use of ES contributes to BSI. In addition, this paper integrates literature from different fields (e.g. strategy, information systems, and operations) to gain a better understanding of how the implementation and use of ES affects BSI.

Sharing resources with stakeholders is the key for keystones to govern business ecosystems successfully. However, existing research has not paid further attention to how keystones share resources under the condition of resource sufficiency and how keystones balance resource sharing with complementors when they lack resources. Therefore, this paper aims to explore how keystones govern their business ecosystems under the conditions of resource sufficiency and resource insufficiency.

This paper adopts the single case study method. First, by adopting Gioia coding to analyze the relevant data of the case sample, this paper obtains the key concepts of the business ecosystem governance process. Then, it establishes the relationship between the concepts by analyzing the governance process of the case sample.

Under the condition of resource sufficiency, keystones under the condition of resource sufficiency, should make full use of resources to incubate more complementors, and further integrate the resources of the business ecosystem, to create more value for their business ecosystems. Under the condition of resource insufficiency, keystones should break the boundaries of business ecosystems and acquire external resources, to meet the resource needs of complementors. Subsequently, keystones should redeploy idle resources according to the actual needs of complementors, to meet the changing resource needs of complementors.

This study subdivides business ecosystem governance conditions and further constructs the business ecosystem governance process model, which provides a theoretical and practical reference for business ecosystem governance.

The recently developed resource orchestration theory studies the processes by which managers handle resources to create competitive advantages. According to this theory, it is the way that resources interact with each other that results in such advantages. Resource integration, i.e. the alignment, or fit between resources, is one important outcome of resource orchestration processes. This paper aims to develop a scale and outline approaches to measuring such resource integration.

Using a typology of five types of resources derived from value theory, the authors develop a scale for measuring the fit between resource types, i.e. the degree of resource integration. The authors illustrate the method using a case example of an IT company and demonstrate how a variety of statistical methods including hierarchical cluster analysis, structural equation modeling, social network analysis and methods from biostatistics can provide measures of resource integration.

The authors develop a scale and associated measures that can help scholars systematically measure and identify firms with a high or low level of resource integration capability. This makes it possible to investigate further these companies and reconstruct how they support dynamic capabilities, as well as commonalities across firms with high and low levels of this capability.

Existing studies on resource orchestration have failed to provide us with a reliable measurement instrument that can be used both in cross-sectional work, and in repeated or time-series studies, allowing us to assess the degree to which a wider range of resources in an organization are integrated. The authors develop and demonstrate such an instrument.

The purpose of this paper is to examine how managers orchestrate, bundle and leverage resources from big data for value creation in emerging economies.

The authors grounded the theoretical framework in two perspectives: the resource management and entrepreneurial orientation (EO). The study utilizes an inductive, multiple-case research design to understand the process of creating value from big data.

The findings suggest that EO is vital through which companies based in emerging economies can create value through big data by bundling and orchestrating resources thus improving performance.

This is one of the first studies to have integrated resource orchestration theory and EO in the context of big data and explicate the utility of such theoretical integration in understanding the value creation strategies through big data in the context of emerging economies.