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The concept of coopetition is founded on the complementarity‐based nature of this strategy. However, coopetition research has devoted relatively little attention to complementarity issues and their impact on coopetition results. By bridging the coopetition and economics of complementarities research fields, we develop a model representing a classical optimization problem in complementarities as applied to coopetition in order to evaluate potential risks deriving at an operational level from implementing a coopetition strategy. The model we develop is a situated one and is based on empirical data from a longitudinal case study of coopetition in the mineral water and soft drinks industry. The results highlight a potential risk of coopetition strategies – namely, thresholds effects – as well as the associated risks a wrong understanding of complementarities in a coopetition setting may entail.

Innovation ecosystem research has highlighted complementors as the critical force to determining focal firm innovation’s success in addition to the traditional value chain or supply chain perspective. However, literature is relatively scarce in terms of innovation ecosystem governance, especially, on how to manage various types of complementors. The purpose of this paper is to fill this theoretical gap by developing a typology of managing complementors from multiple case studies.

This study conducted multiple case studies of three leading focal firms with ecosystem strategies to understand innovation ecosystem governance. Theoretical themes are inductively generated to reveal their success in managing complementors in their ecosystems.

The case analysis reveals four generic strategies to manage complementors. These strategies are contingent on the types of complementors and level of interdependence: focal firms tend to engage functional complementors and collaborate with infrastructural complementors when the level of interdependence is higher, and acquire functional complementors and nurture infrastructural complementors when the level of interdependence is lower.

For practitioners, this study can improve their understanding on the mechanisms of innovation ecosystem governance, particularly interdependence between participants in an innovation ecosystem, and developing appropriate strategies to manage different types of complementors in innovation ecosystems.

This study contributes to innovation ecosystem literature by enriching the conceptualization of interdependence in innovation ecosystems and unpacking innovation ecosystem governance with the inductively developed holistic typology of strategies to manage complementors. Meanwhile, this study also suggests underlying mechanisms for how innovation ecosystem governance and, therefore, contributes to a systematic theory on understanding innovation ecosystem governance.

Ecosystems that support digital businesses maximize the economic value of network connections. This forces a shift toward platforms and ecosystems that are collaborative by nature by applying business models with multiple actors playing multiple roles. The purpose of this study is to show how the main concepts emerging from research on digital platform ecosystems (DPEs) could be organized in a taxonomy-based framework with different levels or dimensions of analysis. This study discusses some of the contingencies at these different levels and argues that future research needs to study DPEs across multiple levels of analysis. While this integrative framework allows the comparison, contrast and integration of various perspectives at different levels of analysis, further theorizing will be needed to advance the DPE research. The multidimensional framework proposed here involves the use of a multimethodological approach that incorporates a synergy of businesses, technological innovations and management methods to provide support for research in interrelationships across platform ecosystems (PEs) on a regular basis.

This paper proposes a new PE framework by constructing a formal taxonomy model that explains a vast group of phenomena produced by the PEs.

In addition to illustrating the PE taxonomy framework, this study also proposes a clear and precise description and structuring of the information in the ecosystem domain. The PE framework assists in identification, creation, assessment and disclosure research of platform business ecosystems.

Because of the large number of taxonomy concepts (over 200), only main taxonomy fragments are shown in the paper.

The outcomes of this research could be used for planning, oversight and control over ecosystem management and the use of ecosystem’s knowledge-related resources for research purposes.

The PE framework is original and represents an effective tool for observing PEs.

The paper aims to test and validate the complementarity effects on operational performance of two of the main lean manufacturing bundles, just‐in‐time (JIT) and total quality management (TQM). The paper also explores the role played by the human resource management (HRM) bundle as an enhancer of the complementarity between JIT and TQM.

The paper is based on statistical analysis on the high performance manufacturing round III database, a survey that involves 266 plants in nine countries across three different industries (electronics, machinery and transportation components).

The paper proves the existence of complementarity between JIT and TQM and shows the enabling role of HRM on such complementarity.

The paper provides analytical and empirical argumentations showing that JIT and TQM mutually reinforce each other's marginal returns on operational performance. The study also indicates that only those plants characterized by a significant implementation of HRM practices enjoy the complementarity effects of TQM and JIT on operational performance.

The research suggests a pattern of improvements where JIT and TQM have to be implemented hand‐in‐hand to take full advantage of their complementarity. HRM, the soft part of lean initiatives, provides the ground over which complementarity originates, spreading its benefits throughout the organization.

The study represents one of the few attempts trying to operationalize and empirically validate the concept of complementarity. The study also provides original suggestions to practitioners on how to make the most out of lean initiatives.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.

Drawing on complementarity theory, this paper aims to examine the type and effect of interdependencies/interaction (i.e. complementarity or substitutability) between the supply chain capabilities of agility, adaptability and alignment.

A survey research design is adopted to collect primary and secondary data from 182 international firms. The complementarity (or substitutability) of three As (agile, adaptable and aligned) were analyzed in three-way and pairwise interactions; both, correlation and performance differences methods of testing the type of interactions among the system’s elements were used. Supply chain-centric and firm-centric performance metrics were used to examine the interaction types.

The study did not find empirical evidence of three-way complementarity between the three As. However, this paper did find evidence of complementarity in bivariate interactions for alignment and adaptability. Moreover, in the performance difference method, the study found a substitute relationship between all pairs of As.

The findings related to the substitutability between the three As offer managers guidance on how to allocate their limited resources to avoid unnecessary over-or under-investing in either one of the three As.

This study helps refine prior findings related to the three As by offering evidence that firms can still achieve their performance-related goals with reduced investment commitments by taking advantage of the substitutability relationship existent between these capabilities. That is, instead of concomitantly developing all three As as past studies have suggested, managers can use the findings to determine how to prioritize their resource allocation better. Furthermore, understanding the actual interaction among the supply chain variables generally provide insights for designing the supply chain, change management in the supply chain, developing supply chain strategy and adopting best practices in the supply chain.

Although most of the literature supports the existence of a substitutive relationship between exploration and exploitation, some authors suggest that this relationship is complementary (ambidexterity), and others argue that there is no relationship. This paper aims to introduce organizational innovation into the analysis and discusses which of these three relationships prevails.

Analyses were performed using data from Spanish Technological Innovation Panel for the period 2008-2013. It should be emphasized that the use of panel data is essential in the analysis of the interaction of exploration and exploitation, as exploration only makes sense in the long run. Econometric strategy uses a two-stage selection model, estimated using the Wooldridge’s (1995) consistent estimator for panel data with sample selection. To perform the test, the hypothesis uses the approach of complementarity.

The results show that the relationships exploration-organizational innovation and exploitation-organizational innovation are complementary, provided that the analysis is performed on companies that simultaneously carry out exploration and exploitation activities, respectively. This indicates that the achievement of ambidexterity is strongly conditioned by the simultaneous realization of organizational innovations.

Managers and policymakers should be aware that the simultaneous implementation of exploration and exploitation yields better results when the corresponding organizational innovations are also implemented.

This paper extends the empirical investigation of the relationship between exploration and exploitation, seen in conjunction with organizational innovation, and using the complementarity approach as a research tool.

Despite the constantly increasing number of publications in the field of business ecosystems, there are indications that a precise definition that appropriately captures the business ecosystem mindset is not yet available. Therefore, the purpose of this paper is to provide a consensus definition of business ecosystems.

Using structured content analysis, this paper examines a total of 43 definitions in terms of their core components.

The results indicate that the existing definitions focus only on single components, e.g. “network of actors,” thereby omitting other essential components, such as “cocreated value proposition” or “shared fate.” Consequently, it seems appropriate to develop a consensus definition that combines the perspectives of the academic and practitioner communities.

The proposed definition is more comprehensive than the prevailing definitions and represents a synthesis of previous considerations on business ecosystems. Such a definition will support researchers in developing a sound business ecosystem theory that will guide practitioners in the efficient design and management of business ecosystems in the long term.

Live streaming sales (LSS) is an emerging and flourishing practice in the retail industry. While its implementation has been pervasively attempted, there is a lack of systematic and academic exploration of the practice. Therefore, the aim of this study was to investigate the LSS ecosystem and its development through a literature review and an industry analysis. Moreover, by pinpointing the pitfalls in current practices, this paper presents the practical implications of LSS and provides recommendations and directions for future academic exploration.

The aim of the present study was to investigate the developing trajectory, exclusive elements (such as multi-channel networks (MCNs) and live streamers) and other critical components of the LSS ecosystem using a mixed-methods approach that comprises content analysis of newspaper articles and press releases, literature view and industry analysis.

The results of the analyses indicate the presence of several nonfungible modular components in the LSS ecosystem, including upstream suppliers, MCNs, live streamers and platforms. It was also found that inequalities and hierarchies are inherent to the LSS ecosystem as it currently exists: low-end participants in the LSS industry and small- and medium-sized enterprise owners, who constitute the majority of LSS practitioners, cannot reach the break-even point via LSS hosted by top-level live streamers or others (low-level live streamers, employees, etc.).

This article discusses the LSS ecosystem based on the nature of the nonfungible modules within it. In addition, it discusses the modules (roles) and relationships among them based on the theory of ecosystem developed by previous studies. Furthermore, drawing from an analysis of the pitfalls in the LSS ecosystem, this article highlights strategies for two critical e-commerce processes: 1) choosing which type of LSS to apply based on the factors of brands, products and consumers and 2) integrating LSS to optimize post-sale service and appeal to the sustainability of development.