Search Results (26)

Achieving sustainable delivery is a critical goal in international engineering projects, which involve interdependent actors—such as contractors, suppliers, and designers—engaged in simultaneous cooperation and competition. This study investigates how coopetition, conceptualized as intensity and balance, affects sustainable delivery performance through dynamic capabilities. Specifically, we introduce exploitation and exploration as mediating capabilities and examine their effects under coopetition structures (horizontal vs. vertical). We use hierarchical regression analyses, relationship critical tests, and the fuzzy set qualitative comparative analysis (fsQCA) approach. Using survey data from 172 global projects, the results show that exploitation and exploration partially mediate the relationship between coopetition intensity and sustainable delivery performance, and fully mediate the effect of coopetition balance. The analysis uncovers a structural differentiation in capability efficacy, showing that exploitation yields stronger effects within horizontal structures, whereas exploration exerts greater influence under vertical structures. fsQCA reveals three complex configurational pathways to sustainable delivery performance, demonstrating the compensatory configurational pathways in which structural characteristics can, under certain conditions, substitute for dynamic capabilities. This study extends the application of coopetition and dynamic capability theories to the context of international engineering projects and underscores the crucial role of governance structures in shaping capability development and sustainable delivery outcomes. Full article

Existing research has highlighted knowledge sharing and performance outcomes within industrial clusters but provides limited insight into how firms leverage internal capabilities to transform external knowledge, as well as the coopetitive conditions under which this transformation is most effective. This study proposes an intermediary mechanism for knowledge renewal, illustrating how enterprises restructure cluster knowledge to enhance their dynamic competitive advantage. It further examines the moderating role of coopetition relationships to reveal how varying intensities of these relationships influence knowledge conversion and the formation of competitive advantage. Data from 469 enterprises across multiple industrial clusters in China were collected and analyzed using structural equation modeling. The findings indicate that cluster agglomeration and boundary spanning significantly enhance a firm’s dynamic competitive advantage through knowledge renewal, with coopetition relationship further amplifying this effect. This study contributes to bridging theoretical gaps in research on cluster agglomeration, knowledge renewal, and coopetition relationship. It offers a significant contribution to cluster studies by elucidating the knowledge transformation process and clarifying when coopetition relationship can enhance capability development. Full article

In the absence of system-wide planning and coordination, emerging mobility services have been integrated into urban transportation systems as independent network layers. Meanwhile, their interactions with traditional public transit give rise to complex self-organizing patterns in population mobility, manifested as coopetitive dynamics. To systematically analyze this phenomenon, this study constructs a four-layer temporal network—consisting of ride-hailing, metro, combined, and potential layers—based on a vectorized multilayer network model and inter-layer mapping relationships. An analytical framework is then developed using node strength, cosine similarity, and rich-club coefficients, along with two newly proposed indicators: the intermodal index and the node importance coefficient. The results reveal, for the first time, a spontaneously emergent intermodal phenomenon between ride-hailing and metro networks, manifested through both cross-day modal substitution and intra-day intermodal chains. The analysis further demonstrates that when sufficiently large and homogeneous demand cohorts are present, the phenomena can emerge even on non-working days. Based on the characteristics of this phenomenon, a method has been developed to identify intermodal nodes across different transport networks. Furthermore, the study uncovers a time-varying multicentric hierarchical structure within the metro network, characterized by small-scale core rich nodes and larger-scale secondary rich-node clusters. Overall, this study provides novel insights into the formation, coordination, and optimization of intermodal urban transport networks. Full article

Background: In an increasingly digitized supply chain landscape, small and medium-sized enterprises (SMEs) face mounting challenges in regard to delivering differentiated and responsive customer experiences. This study investigates the role of Industrial Internet of Things-enabled coopetition networks (IIoT-CNs) in enhancing the customer experience and value cocreation among SMEs. Grounded in Service-Dominant Logic, this research explores how interfirm collaboration and real-time data integration influence key performance indicators (KPIs), including perceived product quality, delivery timeliness, packaging standards, and product performance. Methods: An experimental design involving SMEs in Portugal’s ornamental stone sector contrasts traditional operations with digitally integrated coopetition practices. Results: While individual KPI improvements were not statistically significant, regression analysis revealed a significant positive relationship between IIoT-CN participation and the overall customer experience. The reduced variance in the performance metrics further suggests increased consistency and reliability across the network. Conclusions: These findings highlight IIoT-CNs as a promising model for SME digital transformation, contingent on trust, interoperability, and collaborative governance. This study contributes empirical evidence and practical insights for advancing customer-centric innovation in SME-dominated supply chains. Full article

In the product–service system, variations in the service capabilities of equipment manufacturing enterprises (EMEs) and equipment operating enterprises (EOEs) will change the coopetition relationship. Firstly, this study develops an evolutionary game model to analyze how the relationship between EMEs and EOEs evolves. And then MATLAB simulations are used to examine the factors influencing their coopetitive strategies. Finally, key findings include (1) the variations of market service demand and technology diffusion revenue drive strategy evolution; (2) the unilateral cooperation cost presents the law of diminishing marginal effect, especially on EOEs; (3) an optimal profit distribution ratio exists, which has the most impact on the probability of cooperation. This study informs coopetitive development and decision-making in the service-oriented transformation of the manufacturing industry. Full article

Garden managers face the dilemma of promoting and preserving their gardens. Overtourism in popular gardens can be solved by cooperating to entice visitors to alternative, less popular gardens. However, such an enticement strategy may not be successful because garden managers not only cooperate with but also compete against each other (i.e., coopetition). How can garden management practitioners forge a coopetitive relationship to encourage visitors to move from over- to less crowded gardens? Addressing this question, this study aimed to propose a successful coopetitive strategy to redistribute visitors. This study was drawn primarily from semi-structured interviews with garden staff of an overcrowded national garden and multiple less crowded metropolitan gardens. A thematic analysis of qualitative data revealed a lack of cooperation between national and metropolitan gardens and highlighted the former’s aspirations for further growth despite perceived overtourism. This study proposes using the ambiguous cultural status of national and metropolitan gardens as a catalyst for coopetition between them, and contributes to the discourse on sustainable cultural tourism by broadening its scope and redressing the scholarly imbalance between an overemphasis on visitors’ behaviour and a dearth of attention on practitioners of (horti)cultural tourism. Theoretical contributions are detailed at the end of this article. Full article

This study investigates the competitive issues of the newsvendor problem with product substitution under the carbon cap-and-trade system. Building on existing research, this paper introduces the carbon cap-and-trade system under uncertain market demand and considers that the original equipment manufacturer (OEM) can choose to procure raw materials from the contract manufacturer (CM), with both final products being substitutable. Furthermore, we explore the different substitution relationships between OEM and CM products under both pure competitive and co-opetitive modes. For this problem, decision models are developed for various scenarios, and optimal solutions satisfying given conditions are provided. We find that in one-way substitution, under pure competition, an increase in the OEM’s (or CM’s) green investment and substitution rate only leads to an increase in OEM’s (or CM’s) yields, while an increase in the OEM’s (or CM’s) green investment does not necessarily reduce CM’s (or OEM’s) yields. In the co-opetitive mode, an increase in the substitution rate and green investments of both manufacturers may lead to an increase in the yields of both manufacturers. Furthermore, an increase in carbon trading prices does not necessarily inhibit the manufacturer’s yields. Moreover, we find that under the same competition mode, under certain conditions, two-way substitution between OEM and CM can bring better profits to both manufacturers and the entire supply chain. When the two modes are in the same substitution scenario, and the CM cannot substitute for the OEM, the optimal decisions and total supply chain profits of the two modes are equal. Finally, through numerical analysis, we find that neither mode is necessarily optimal when CM can substitute for OEM. Additionally, it is observed that when the same mode is in different substitution scenarios, total supply chain profits may be enhanced in the presence of product substitution. Full article

The Belt and Road Initiative (BRI) has significantly transformed the traditional energy market and reshaped international cooperation and conflict dynamics through its expanding trade in renewable energy resources. This study focuses on examining the complex and evolving nature of coopetition relationships in the renewable energy trade among BRI countries from 2013 to 2020. Understanding the interplay between cooperation and competition in this sector is crucial for comprehending the dynamics and stability of these trade relationships. Using a signed network approach, the findings of this study reveal that the countries predominantly exhibit a cooperative relationship. However, as time progresses, a notable pattern emerges, characterized by the coexistence of “competitive cooperation” and “cooperative competition”. In addition, coopetition group clustering is strongly influenced by geographical location. China, as a key player in the BRI, demonstrates a coopetition group characterized by a high inflow and low outflow pattern. Furthermore, the implementation of the BRI has greatly improved the overall stability of trade along the route. However, the coexistence of competition and cooperation among nations has increased the uncertainty of trade relations, thereby exerting a certain level of influence on their stability. Based on these findings, this study proposes policy recommendations to strength renewable energy trade relationships along the BRI route. Full article

In this study, to explore the co-opetition (competition–cooperation) relationship between urban subway lines, we constructed three directed weighted subway models of a competition network, cooperation network, and co-opetition network based on the Space R model of a complex network. Taking Wuhan, China, as the research area, we established a Wuhan subway co-opetition network and analyzed the network’s complex characteristics. Through the analysis, we found that the competition network, cooperation network, and co-opetition network are all scale-free networks that present the characteristics of a high-clustering and short-distance small-world network. The co-opetition relationship between subway lines was mostly of a conventional type (55.56%) and unrelated type (41.67%), with only cooperative-dominant types found among the conventional types. The co-opetition effect between lines in the long-term network increased from 7.616 to 15.17, and the relationship strength of the competition and cooperation between lines increased significantly. The competition effect deflection angle of all subway lines in the network was found to be smaller than the cooperation effect declination angle. Additionally, all lines had a significant role in cooperation within the network, and cooperation played a dominant role in the co-opetition relationship. Full article

In the context of economic globalization, innovation has become a major drive for the sustainable development of enterprises, which emphasizes the importance of studying the influencing factors of enterprise innovation output. The purpose of this study is to clarify the influence mechanism of different indicators on enterprise innovation output, and then provide relevant suggestions for improving enterprise innovation ability. This paper takes 562 enterprises in Chaoyang Sub-park and Fengtai Sub-park of Zhongguancun in Beijing within the time span between 2015 and 2016 as the research objects, and constructs a comprehensive indicator system of influencing factors for enterprise innovation output from the perspective of enterprise co-opetition relationship, factor input and environmental factors. A quantitative model of innovation output and influencing factors was built and then solved, via spike-and-slab sparse function and stepwise regression, aiming at analyzing the influence of different indicators on enterprise innovation output. In addition, this paper also classifies enterprises according to their innovation level and explores the influence of indicators on different types of enterprises. The innovation of this study lies in the modeling of competition and cooperation between enterprises and the establishment of a relatively comprehensive indicator system of influencing factors for enterprise innovation output. The results show that the degree of technological collaboration between enterprises, the level of financing and the degree of capital and labor input in innovation activities have significant positive effects on enterprise innovation output. On the contrary, product and service competition, as well as capital competition, tends to have a negative impact, which urges enterprises to pay heed to the intensity of competition faced by products and services as well as the diversity of financing sources and investment targets to reduce the negative impacts. In addition, enterprises with different levels of innovation should take customized measures in terms of factor input and co-opetition relationships, in that some indicators such as network structure indicators negatively influence the innovation output of enterprises with lower levels of innovation, but has positive impacts on those with higher levels of innovation. Full article

This article was aimed to answer the question of whether local energy communities have a sufficient energy surplus for storage purposes, including hydrogen production. The article presents an innovative approach to current research and a discussion of the concepts of the collective prosumer and virtual prosumer that have been implemented in the legal order and further amended in the law. From this perspective, it was of utmost importance to analyze the model of functioning of an energy cluster consisting of energy consumers, energy producers, and hydrogen storage, whose goal is to maximize the obtained benefits, assuming the coopetitive nature of the relationship. The announced and clear perspective of the planned benefits will provide the cluster members a measurable basis for participation in such an energy community. However, the catalogue of benefits will be conditioned by the fulfillment of several requirements related to both the scale of covering energy demand from own sources and the need to store surplus energy. As part of the article, the results of analyses together with a functional model based on real data of the local energy community are presented. Full article

This study aimed to analyze the competitive relationship among meetings, incentive, convention, and exhibition (MICE) destinations with reference to the notion of niche businesses in New Zealand, and to explore the existence of cooperative strategies between neighboring destinations. The data were collected from the Ministry of Business, Innovation, and Employment Reports on the Convention Activity Survey (CAS) in New Zealand. The study contributes towards an innovative and better understanding of the dynamics of sustainable destination competitiveness. It broadens the scope of MICE industry research by exploring new insights on the notion of destination competition and makes a theoretical connection between niche theory and the importance of coopetition. By investigating the case of MICE destinations of four central cities in New Zealand, this study provides information on the strategic significance of niche marketing for global destinations preparing for entrance into this market. Full article

In this study, we proposed the concept of hyper-coopetition based on an investigation of the inter-organizational relationships of chipmakers. Hyper-coopetition is distinguished from traditional coopetition by having companies in heterogeneous industries as participants, whereas traditional coopetition is a relationship between competitors in the same industry. To investigate antecedents and processes of hyper-coopetition, we established the conceptual framework of hyper-coopetition through a literature review. We conducted a case study on leading chipmakers, including Intel, Samsung, and Nvidia, to investigate antecedents and processes of the chipmakers’ hyper-coopetition. By examining hyper-coopetition, we contributed to the relevant academic field by introducing hyper-coopetition, its typology, and a new research agenda. The analysis result also brought managerial implications for companies in a rapidly changing environment. Full article

While there is a fast-growing number of studies on FinTech, the relationships between technology companies and banks have received only limited attention in the research literature. Most of the studies on FinTech-bank interactions conducted so far address the questions: why banks collaborate with FinTechs (reasons) and how they do it (forms of cooperation), whereas this paper aims at clarifying when the most likely form of their interaction is cooperation and when competition. To cover this cognitive gap, the conceptual framework to help explain which factors affect the type of interactions between technology companies and banks is presented in this paper. Based on extensive literature review and using the market-based approach, the external factors of the market position of banks and technology companies were examined. It was found that this position and therefore the basic type of interaction depends on the adoption level of FinTechs and BigTechs in individual countries/regions. The adoption of FinTechs and BigTechs turned out to be higher in EMDEs and lower in AEs, which makes it more likely that in the first group of countries tech companies would tend to serve as banks’ competitors, whereas in the second group they would rather collaborate with banks or choose the coopetition strategy. When analyzing internal factors, the resource-based approach and a slightly modified IO theory were applied. In this part, the strategic tool which enables the assessment of the extent to which assets, skills, and features of FinTechs, BigTechs and banks are complementary (which gives the rationale for cooperation) or substitutable (which gives the rationale for competition) was proposed. This study is a critical analysis based on desk research, that contributes to the existing literature by (1) providing a narrow definition of FinTech representing the subjective/institutional approach, (2) considering separately FinTechs and BigTechs, and (3) proposing the strategic tool which helps to assess comparative advantages of banks, FinTechs and BigTechs, and thus makes it easier to choose the most appropriate type of their interaction. Full article

The cooperative and competitive (i.e., co-opetition) behavior between retailers plays a significant role in the development of operations and marketing strategies in a supply chain. Specifically, retailers’ co-opetition relationship pivotally influences the sustainable performance in a closed-loop supply chain. This study examines the impact of retailer co-opetition on pricing, collection decisions and coordination in a closed-loop supply chain with one manufacturer and two competing retailers. Based on observations in some industries (e.g., electronic manufacturing, fabric and textile, etc.), the cooperative and competitive relationships between retailers can be classified into the following three different modes: Bertrand competition, Stackelberg competition, and Collusion. In this paper, we establish a centralized and three decentralized game-theoretic models under these three co-opetition modes and characterize the corresponding equilibrium outcomes. The results indicate that the Bertrand competition mode yields the highest return rate, which is also superior to the other two modes for both the manufacturer and the supply chain system in terms of profitability. However, it can be shown that which mode benefits the retailers would depend on the degree of competition between the retailers and the relative remanufacturing efficiency. Interestingly, we find that the retailer’s first-move advantage does not necessarily lead to higher profits. In addition, we design a modified two-part tariff contract to coordinate the decentralized closed-loop supply chains under three different retailer co-opetition modes, and the results suggest that the optimal contractual parameters in the contracts highly rely on the remanufacturing efficiency and the competition degree between the two retailers. Several managerial insights for firms, consumers and policy makers are provided through numerical analysis. Full article