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This paper aims to explore the relationship between strategic internationalization decisions and dynamic capabilities deployment for the internationally growing firm (IGF). Dynamic capabilities refer to a firm’s ability to adapt proactively to a changing business environment, emphasizing the importance of “doing the right things” rather than just “doing things right.

Literature-based, this paper proposes a model that links internationalization decisions and dynamic capabilities deployment, offering valuable insights for both research and practical application.

The study highlights that the IGF – focused on expansion and growth abroad – faces unique complexities that demand “doing the right things” in terms of strategic internationalization decisions. Three critical organizational capabilities – knowledge transfer, knowledge recombination and learning capabilities – are mechanisms linking strategic internationalization decisions to dynamic capability deployment in the IGF. These organizational capabilities enable the IGF to act entrepreneurially and deploy dynamic capabilities across borders.

The model provides a practical framework illustrating the interconnectedness of strategic internationalization decisions and their combined effects on the ability of IGF to deploy dynamic capabilities to adapt to a changing global environment.

This research addresses a gap in the literature, challenging the conventional assumption that dynamic capabilities precede firms’ decisions to internationalize and that these dynamic capabilities can only be enhanced abroad.

The purpose of this study is to formulate a new class of vehicle routing problem with an objective to minimise the total cost of raw material collection and derive a new approach to solve optimization problems. This study can help to select the optimum number of suppliers based on cost.

To model the raw material vehicle routing problem, a mixed integer linear programming (MILP) problem is formulated. An interesting phenomenon added to the proposed problem is that there is no compulsion to visit all suppliers. To guarantee the demand of semiconductor industry, all visited suppliers should reach a given raw material capacity requirement. To solve the proposed model, the authors developed a novel hybrid approach that is a combination of block and edge recombination approaches. To avoid bias, the authors compare the results of the proposed methodology with other known approaches, such as genetic algorithms (GAs) and ant colony optimisation (ACO).

The findings indicate that the proposed model can be useful in industries, where multiple suppliers are used. The proposed hybrid approach provides a better sequence of suppliers compared to other heuristic techniques.

The data used in the proposed model is generated based on previous literature. The problem derives from the assumption that semiconductor industries use a variety of raw materials.

This study provides a new model and approach that can help practitioners and policymakers select suppliers based on their logistics costs.

This study provides two important contributions in the context of the supply chain. First, it provides a new variant of the vehicle routing problem in consideration of raw material collection; and second, it provides a new approach to solving optimisation problems.

Drawing on the literature on technological acquisition and the knowledge-based view , this study examines how technological overlap between acquiring and target firms influences acquisition premiums. We further explore how the resulting synergies are contingent on the dynamic characteristics of the target firm, specifically its technology clockspeed and industry munificence. Technology clockspeed indicates the pace of technological evolution, reflecting internal dynamic resources, while industry munificence represents the abundance of external resources. These boundary conditions illustrate the dynamics of synergies, explaining their moderation effects on acquisition premiums.

We analyze a sample of 369 technological acquisitions by publicly traded U.S. firms between 1990 and 2011. To test our hypotheses, we used the ordinary least squares regression model with robust standard errors clustered by acquiring firms. In the robustness checks, we applied the generalized estimating equations to account for non-independent observations in our sample and verified that the results were robust to an alternative two-way clustering approach.

We suggest that a low level of technological overlap between an acquiring firm and its target firm leads the acquiring firm to offer a high acquisition premium because of the expected synergistic potential that evolves from combining two distant technological bases. We further find that this effect is contingent on the target firm's technology clockspeed and industry munificence. Specifically, the negative effect is amplified when target firms exhibit a rapid pace of technological evolution, whereas it is weakened when target firms operate in highly munificent industries characterized by robust growth and abundant resource flows.

This study has several limitations, but it offers opportunities for future research. First, our sample is limited to domestic acquisitions between U.S. publicly traded firms, which may restrict generalizability. Cross-border acquisitions could reveal different dynamics, as technology leakage and national security concerns might make technological overlap a more sensitive factor. Additionally, private firms were not included, and their distinct strategic considerations could provide further insights. Future research could explore post-acquisition data to validate these synergies and expand the scope to include international contexts and private firms for a comprehensive analysis.

Our findings highlight important implications for managers in technology sector acquisitions. This study underscores the need for a thorough evaluation of target firms to avoid misjudging synergies. Low technological overlap can heighten expectations for value creation, making it crucial for executives to accurately assess potential synergies to prevent overestimation. Managers should consider both internal resources and external industry conditions when evaluating synergies. Ultimately, these insights help managers offer informed prices that reflect true strategic synergies, adopting effective valuation practices to mitigate risks of financial overpayments and poor post-merger performance.

The social implications of our findings emphasize the broader impact of acquisition decisions on innovation and competition within the technology sector. By ensuring accurate valuation and avoiding overpayment, companies can allocate resources more efficiently, fostering sustainable growth and innovation. This diligent approach can reduce the risk of corporate failures.

This study makes two key theoretical contributions. First, it identifies technological overlap as a critical determinant of acquisition premiums in technological acquisitions, addressing gaps in the literature that focused on CEO characteristics and managerial attention. Second, it expands the theoretical framework by highlighting the dynamic nature of synergies, influenced by the target firm's technology clockspeed and industry munificence. By integrating both acquiring and target firm characteristics, this study provides a relational perspective on value creation, explaining why firms pay high premiums and offering a more comprehensive understanding of the strategic motivations in technological acquisitions.

The purpose of this study is to provide a highly efficient method to obtain the kinetics of the hydrogen evolution reaction (HER) on metal electrodes in an alkaline solution and to analyze the effect of thiourea addition on HER under the same cathodic overpotential.

A novel method based on hydrogen permeation tests, potentiodynamic polarization tests and electrochemical impedance spectroscopy was put forward to characterize the HER kinetics on metal electrode.

The study found that adding thiourea accelerated the Volmer, Heyrovsky and Tafel reactions associated with HER. In addition, it reduced the hydrogen surface coverage and increased the hydrogen permeation steady-state current density. As a result, thiourea facilitated HER, promoted the diffusion of hydrogen atoms into iron and reduced the number of hydrogen atoms in the adsorbed state.

This work provides novel insights into the influence of thiourea on HER kinetics, demonstrating that thiourea addition can significantly enhance HER efficiency by altering reaction dynamics and promoting hydrogen atom diffusion into iron. This has implications for hydrogen energy applications, cathodic protection and understanding hydrogen embrittlement mechanisms.

This study aims to analyze the distribution of novelty among scholarly papers in the field of library and information science (LIS) in China. Specifically, this study explores the distribution of novelty of papers in various journals, research topics and different periods. It is possible to understand the characteristics of LIS research in China and what factors have influenced it.

This paper collects articles published in Chinese library science journals indexed by the Chinese Social Sciences Citation Index from 2000 to 2022. The BERTopic model is used based on abstracts of the papers and to obtain the topic of each paper. Based on the combination innovation theory of reference pairs cited by focal papers, novelty scores of all papers are calculated. Next, this paper analyzes the novelty of papers under different topics. Finally, this paper analyzes the differences in author collaboration patterns across various topics, aiming to explain how these differences relate to the novelty of papers from a collaborative perspective.

This study shows that archival research topics have lower novelty than papers on journal evaluation and patent technology in Chinese LIS. Research papers in this field are gradually becoming more novel over time. Papers on different topics and with varying degrees of novelty exhibit distinct author collaboration patterns, with low-novelty topics more frequently featuring solo authorship, while high-novelty topics tend to involve a higher percentage of inter-institutional collaboration.

This study investigates the novelty characteristics of research papers on different topics in the field of LIS in China. The authors’ contribution includes visualizing research hotspots and trends in the field and analyzing authors’ collaboration patterns at the level of research topics, thereby providing new perspectives on the factors affecting the novelty of these papers.

Understanding the mechanical and thermal behavior of materials is the goal of the branch of study known as fractional thermoelasticity, which blends fractional calculus with thermoelasticity. It accounts for the fact that heat transfer and deformation are non-local processes that depend on long-term memory. The sphere is free of external stresses and rotates around one of its radial axes at a constant rate. The coupled system equations are solved using the Laplace transform. The outcomes showed that the viscoelastic deformation and thermal stresses increased with the value of the fractional order coefficients.

The results obtained are considered good because they indicate that the approach or model under examination shows robust performance and produces accurate or reliable results that are consistent with the corresponding literature.

This study introduces a proposed viscoelastic photoelastic heat transfer model based on the Moore-Gibson-Thompson framework, accompanied by the incorporation of a new fractional derivative operator. In deriving this model, the recently proposed Caputo proportional fractional derivative was considered. This work also sheds light on how thermoelastic materials transfer light energy and how plasmas interact with viscoelasticity. The derived model was used to consider the behavior of a solid semiconductor sphere immersed in a magnetic field and subjected to a sudden change in temperature.

This study introduces a proposed viscoelastic photoelastic heat transfer model based on the Moore-Gibson-Thompson framework, accompanied by the incorporation of a new fractional derivative operator. In deriving this model, the recently proposed Caputo proportional fractional derivative was considered. This work also sheds light on how thermoelastic materials transfer light energy and how plasmas interact with viscoelasticity. The derived model was used to consider the behavior of a solid semiconductor sphere immersed in a magnetic field and subjected to a sudden change in temperature.

The purpose of this study is to examine the mechanisms of absorptive capacity (ACAP) in the specific context of digital product development teams. More precisely, it explores the process of internalizing and utilizing external knowledge from sources outside the team to promote the development of innovative ambidexterity.

The study employs the ACAP framework and directs specific attention to the concept of knowledge assimilation, encompassing comprehension, documentation and dissemination. Seventy-five employees of one of Indonesia’s largest commercial banks were surveyed about two initiatives they participated in. To this end, 12 research hypotheses are formulated, tested and analyzed using structural equation modeling.

Knowledge comprehension, documentation and dissemination are found to mediate between knowledge acquisition and knowledge exploitation. At the same time, the relationship between knowledge acquisition and knowledge transformation is mediated by knowledge comprehension and dissemination, but not documentation. The authors also found that knowledge transformation positively mediates between knowledge comprehension and dissemination on the one hand and ambidexterity on the other hand. Importantly, knowledge exploitation negatively mediates between knowledge comprehension and documentation on the one hand and ambidexterity on the other hand.

This study contributes to the existing body of knowledge by offering nuanced insights into the interplay of knowledge assimilation processes within ACAP, particularly in the context of digital product development. The identification of mediating factors and their impacts on ambidexterity provides valuable implications for both theory and practice in this domain.

Due to the constantly increasing competitiveness along with the complexity of knowledge, firms perceive collaboration as a key strategy that preserves firms' radical innovation performance. In this context, this paper aims to examine how firms’ partners’ diversity in open innovation activities influences the development of radical innovations, critical for social development. In particular, this study analyzes how the functional and geographical breadth of the firm’s collaboration portfolio affects its radical innovation performance. Furthermore, it also explores the role of firm size as a moderator in the relationships proposed.

This research employs panel data analysis, using a sample of 4,677 Spanish firms, with data sourced from the PITEC database.

The results of this study show that there is an inverted U-shaped relationship between the functional and the geographical breadth of collaborations and the firms’ radical innovation performance. Moreover, this study finds partial support for the moderating role of firm size, in the sense that small and medium-sized enterprises (SMEs) and large firms vary in their optimal number of diversity of partners.

This research provides a better understanding on how partners’ functional and geographical diversity, along with organizational characteristics such as firm size, affect how firms benefit from collaboration for innovation. This study shows that both SMEs and large firms experience diminishing returns when their collaboration networks become overly diverse in pursuit of radical innovation, due to increased costs. However, in SMEs, the turning point occurs at a later stage, consistent with the idea that small firms need broader functional networks to access complementary and novel resources they usually lack.

The purpose of this paper is to determine how knowledge distance, which encompasses cognitive and geographic distance, influences efficiency-centered and novelty-centered business model reconfiguration (BMR), and the moderating role of tie strength.

The authors analyze a sample of 132 Tunisian incumbent firms by multiple hierarchical regressions.

First, the effect of knowledge distance on novelty-centered BMR may differ depending on whether the firm introduces novelty within or outside its organizational boundaries. Specifically, the authors introduce two new types of novelty-centered BMR: intra-novelty and extra-novelty, which respectively take into account whether the reconfigured activities are governed within or outside the focal firm’s boundaries. Second, cognitive distance has an inverted U-shaped effect on efficiency-centered and intra-novelty-centered BMR. Third, tie strength has a moderating role, with varying effects depending on the type of BMR pursued.

This study provides guidance for managers on structuring alliances and collaborations when pursuing BMR. It provides recommendations on partner characteristics, as well as relationship tie strength, that are most beneficial for different types of BMR.

This paper answers the call for research on how knowledge obtained from distant sources can contribute to BMR. Additionally, the paper introduces a previously absent distinction in the BMR literature. The findings suggest that studying the antecedents of BMR should not be limited to the level of design themes but also encompass the level of design elements such as governance.

Distance has been a core concept and issue in international business and management research. While scholars argue that distance through internationalization is increasing costs, distance is also associated with positive implications such as the integration of more diverse knowledge. Still, many firms struggle to manage distance effectively and efficiently in their multinational contexts. The purpose of this study therefore is to propose Open Strategy – increasing transparency and inclusion in the strategy process – as an attractive concept for managing distance.

This is a conceptual paper where the authors introduce Open Strategy to the IB community.

The authors argue that opening the strategy of multinational enterprises, enables firms to leverage diversity by re-combining the firms diverse and distant knowledge. It also reduces distance by moving beyond formal mechanisms of control and coordination to improve joint understanding, cooperative commitment and strategy implementation. The framework shows how firms can move beyond established dogmas in international business research by rendering their strategy processes more open.

Leveraging the Open Strategy literature, the authors are able to find a way to respond to the challenge of increasing distance, in fact even arguing that distance can be beneficial if framed as diversity.