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This study explores the evolutionary relationship between multimarket contact (MMC) and competitive actions among multinational corporations (MNCs). It aims to enhance the understanding of international market competition by incorporating insights into dynamic competition and parent–subsidiary relationships.

A structured content analysis was used to identify the competitive actions of global shipping liners. The dataset includes 8,204 actions identified across nine global arenas. Data were collected from 6,553 monthly news articles on Alphaliner. The period covered is from January 1, 2015, to June 30, 2023.

The results indicate that a higher degree of MMC leads to greater competitive aggressiveness, supporting the combination of mutual forbearance and the Red Queen effect. Additionally, market importance triggers the mutual forbearance effect, whereas competitive rivalry is weaker for overlapping cross-market contacts. Furthermore, local competitive intensity increases MNCs' contact and echoes the Red Queen effect, especially for subsidiaries facing increasing pressure from local responsiveness.

Limitations include reliance on Alphaliner, potential inaccuracies from proxy variables, and unmeasured headquarters–subsidiary interactions. Future research should explore other industries and extend the study period for broader applicability and generalization.

By interlacing mutual forbearance with the Red Queen effect within a coopetition framework, managers can devise strategies to balance competition and collaboration, thereby ensuring long-term viability and growth in global markets.

This study extends the concept of MMC to the context of global shipping liners, a previously underexplored sector. Unlike earlier research, this study empirically examines MMC dynamics globally and integrates mutual forbearance and the Red Queen effect.

This study aims to examine conditions in both inter- and intra-alliance contexts within an oligopolistic alliance industry operating across multiple markets. It focuses on how a focal firm’s optimal performance depends on nuanced evaluations of the trade-offs associated with coopetitive synergy, and on decisions about whether to collaborate or compete with its members.

The authors analyze the six leading global container shipping firms within two major alliances (The Grand Alliance and the New World Alliance) from 2003 to 2010, gathering 7,825 news articles from the Cyber Shipping Guide, a comprehensive global container shipping business database in Japan.

The findings reveal the following: (1) the focal firm cooperating with members of a rival alliance decreases the level of inter-alliance competition. (2) The focal firm cooperating with members of a rival alliance increases the level of intra-alliance competition. (3) Increased inter-alliance competition negatively impacts the performance of the focal firm. (4) Increased intra-alliance competition negatively impacts the performance of the focal firm.

Global container shipping firms should make optimal decisions about which firms to cooperate with, focusing on those that contribute to the focal firm’s overall synergies and thus performance.

This study contributes to the literature on coopetition in strategic alliances by extending the concept of dynamic coopetition to include strategic alliance groupings, and by examining how focal firm members cooperate in both inter- and intra-alliance contexts.

This paper aims to draw attention to the information processing of speed regarding the specific approaches by which suppliers respond to downstream and upstream communications. It examines supply chain management and three-way communication between raw material providers, manufacturing suppliers and buying retailers.

Previous studies have investigated upstream and downstream communication as key drivers for framing the consequences of supply chain communication speed. This study applied a three-stage communication speed mechanism survey and acquired 210 validly matched paired questionnaires between selling suppliers and buying customers in a retailing industry supply chain to better understand and systematically model the empirical communication speed.

Downstream and upstream communication positively increases supply chain speed, which is weakened by the dysfunctional competition scenario. To highlight performance, the faster the speed, the greater performance the superior firm will achieve.

Suppliers are looking to enhance speed for better resilience in dysfunctional competition disruptions. This study offers guidelines and specified carbon footprint scenarios to provide managerial insight into their sustainability performance with a greater information processing mechanism. Slower speed may be exactly what many firms and supply chains need to integrate sustainability initiatives.

This study contributes to the supply chain management literature by shedding light on communication and information processing, of which the speed mechanism eventually enhances firm performance.

This study aims to draw attention to the familiarity effect among international multimarket contact (MMC) firms on coopetition in the global container shipping industry and to better understand the contingency model of structural holes and in-degree centrality on joint price elevation actions and subsequent performance.

Drawing on competitive dynamics and the literature on networks, a panel data model is developed from 6,489 competitive and 7,146 cooperative actions of the top 21 shipping firms in 18 global arenas with a structured content analysis method being applied.

Stronger MMC by firms requires increased levels of cooperative actions to elevate prices. This coopetition relationship is enhanced or weakened when the focal firm occupies a higher level of structural hole or position of competitive in-degree centrality.

Shipping liners seeking to cooperate with joint action in oligopolistic markets are offered guidelines and strategies to increase their performance through their actions.

This study contributes to the literature on coopetition networks by further analyzing interfirm relationships and interactions that enhance performance, while exploring network positioning strategies to mitigate risks.

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.

Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.

MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.

MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.

This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

The purpose of this study is to understand the effect of different brand positions (underdog vs top dog) and comparative advertising on consumers’ brand attitudes. Additionally, this study also aims to demonstrate the effects of inspiration, self-relevance and empathy on the relationship between brand positioning and comparative advertising.

A two-by-three factorial design was employed with brand positions (underdog vs top dog) and three types of comparative advertising (noncomparative, indirect comparative and direct comparative) as the independent variables. Inspiration serves as the mediator, while self-relevance and empathy act as moderators and brand attitude is the dependent variable.

The results show that different brand positions significantly affect brand attitudes, with respondents having a better brand attitude toward the underdog brand. Brand attitude is partially mediated by inspiration. Self-relevance moderates the relationship between brand positioning and brand attitude. However, brand positioning, comparative advertising and empathy do not have interaction effects.

This study contributes to a better understanding of the effect of psychological variables on brand positioning and comparative advertising.

The results suggest that the underdog setting requires a real and honest story because consumers will spot a fake underdog story, which will damage consumer trust in the brand and harm the brand image.

There is a lack of research using psychological variables to demonstrate the effect of being the underdog brand. This study contributes to the literature by employing psychological variables to illustrate the effect of underdog positioning. These findings can help brands develop branding positioning strategies.

This study aimed to optimize the dyeing scheduling process with uncertain job completion time to reduce resource consumption and wastewater generation, and while reconciling the conflicting objectives of minimizing the makespan and the need to limit the production on specific machines to minimize rework.

We employed a UNISON framework that integrates fuzzy decision tree (FDT) to optimize dyeing machine scheduling by minimizing the makespan and water consumption, in which the critical attributes such as machine capacity and processing time can be incorporated into the scheduling model for smart production.

An empirical study of a high-tech textile company has shown the validity and effectiveness of the proposed approach in reducing the makespan and water consumption by over 8% while high product quality and efficiency being maintained.

High-tech textile industry is facing the challenges in reducing the environmental impact of the dyeing process while maintaining product quality and efficiency for smart production. Conventional scheduling approaches have not addressed the relationship between machine groups and reworking, resulting in difficulty in controlling the makespan and water consumption and increasing costs and environmental issues. The proposed approach has addressed uncertain job completion via integrating FDT into the scheduling process to effectively reduce makespan and wastewater. The results have shown practical viability of the developed solution in real settings.