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The purpose of this study is to examine the connections between knowledge-based economies, entrepreneurial orientation (EO), sustainable business model innovation and technology transfer (TT). This study specifically investigates whether TT might foster EO and long-term business model innovation in small and medium-sized enterprises (SMEs). This study focuses on economies that are knowledge-based, where information is viewed as a vital resource for economic growth.

This study uses structural equation modelling method and a quantitative research strategy to analyse data gathered from 309 SMEs in knowledge-based economies. A survey questionnaire created to examine the relevant factors was used to gather the sample data from PROLIFIC platform using judgemental sampling technique.

This study’s conclusions point to an association between TT and EO that is favourable, SMEs’ ability to use TT to strengthen their EO and the significance of EO in fostering innovation in SMEs. This study offers empirical proof of the role that TT may play in fostering innovation in sustainable business models and EO in SMEs.

Policymakers, business professionals and academic researchers who are interested in the function of TT in knowledge-based economies will find it to be a helpful source of information. According to this study’s results, TT can assist SMEs in using outside expertise and assets to grow their entrepreneurial capacities, promote innovation and build long-term business strategies.

This study provides empirical evidence of the role of TT in fostering innovation within sustainable business models and cultivating EO within SMEs, contributing to the literature on these critical topics.

Building on resource dependence theory and the dynamic institution-based view, this paper examines the influence of government affiliations on firm product innovation in a dynamic institutional environment.

Using unique panel data of Chinese manufacturing firms covering a period of 12 years (1998–2009) with 2,564,547 firm-year observations, this study chooses the panel Tobit model with random effects to explore the influence of government affiliations on firm product innovation, followed by an analysis to test the moderation effects of dynamic institutional environments.

The study findings suggest that Chinese firms with higher-level government affiliations have a relatively high product innovation performance. It finds that this innovation stimulating effect is contingent on the dynamic nature of the institutional environment. To be specific, a high speed of institutional transition may depress the positive innovation effects of government affiliations, while a more synchronized transition speed of institutional components may enhance the positive innovation effects of firms' government affiliations.

This study adds to a better understanding of the drivers of product innovation in Chinese firms that are situated in environments that are characterized by institutional change, using and contributing to resource dependence theory and the dynamic institution-based view.

As a contribution to the social ties and dynamic capabilities literature, the purpose of this study is to examine the boundary role of the industrial factors (competitive intensity, dependence on suppliers and demand uncertainty) on the relationship between small and medium-sized enterprises (SMEs) social ties (business ties and political ties) and firm performance.

Data were collected from 1,077 SME top-level managers in Turkiye. The proposed model is analyzed using partial least squares (PLS) path modeling in SmartPLS 4.0 software.

The results elucidate how demand uncertainty serve to moderate the influence exerted by both business and political ties upon the performance of SMEs. However, the moderating effects of competitive intensity and dependence on suppliers, although initially hypothesized, were not found to have a significant impact on the relationships.

The relevance of social ties of SMEs may depend on the industrial factor. Although both political and business ties are effective on the customer side, these ties may become irrelevant when it comes to competition and supplier relations. In competitive SME settings, where businesses are vying for similar markets, the effectiveness of ties might be questionable. In such cases, SMEs might invest in building in-house capabilities and competencies, rather than relying on their relational networks.

This study contributes to the understanding of how relational networks, which are considered as dynamic managerial capabilities, impact SMEs performance. It also fills an important gap by testing the boundary role of industrial factors on this relationship. The empirical data is collected from the Turkish context, which is also an original aspect of the study, considering most of the social ties literature has a limited focus on a few contexts. The results also indicate new areas for discussion and exploration, indicating potential avenues for further research.

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.

Despite wide awareness of the importance of digital transformation (DT) for emerging market firms, we have limited understanding of the drivers, the process or the outcomes of DT in emerging market firms.

We conducted a qualitative study on 24 case companies in Thailand and embraced thematic analysis to generate our research findings.

The framework shows that the DT process in emerging market firms proceeds over three stages—market-opportunity sensing, digital technology acquisition and leading DT—which are driven by technological dynamism, business ties and institutional support. Once DT is successfully implemented, emerging market firms can improve their operational efficiency, customer relationship management, business model innovation and human resources management.

This study thus contributes to the DT literature by offering a three-stage model of DT and identifying important antecedents and consequences of DT, which together specify how emerging market firms transform themselves digitally.

As a clean and renewable energy source, wind energy will become one of the main sources of new energy supply in the future. Relying on the stable and strong wind resources at sea, wind energy has great potential to become the primary energy. As a critical part of the wind turbine, the gearbox of a wind turbine often bears a large external load. Especially at sea, due to the effects of ocean corrosion, waves and wind, the burden of the wind turbine gearbox is greater, which brings great challenges to its reliability analysis. This study aims to systematically review the reliability research in wind turbine gearboxes and guide future research directions and challenges.

This study systematically reviews some design requirements and reliability analysis methods for wind turbine gearboxes. Then, it summarizes previous studies on wind load uncertainty modeling methods, including the processing of wind measurement data and the summary of three different classifications of random wind speed prediction models. Finally, existing reliability analysis studies on two major parts of the gearbox are described and summarized.

First, the basic knowledge of wind turbine gearboxes and their reliability analysis is introduced. The requirements and reliability analysis methods of wind turbine gearboxes are explained. Then, the processing methods of wind measurement data and three different random wind speed prediction models are described in detail. Furthermore, existing reliability analysis studies on two common parts of wind turbine gearboxes, gears and bearings, are summarized and classified, including a summary of bearing failure modes. Finally, three possible future research directions for wind turbine gearbox reliability analysis are discussed, namely, reliability research under the influence of multiple factors on gears, damage indicators of bearing failure modes and quantitative evaluation criteria for the overall dynamic characteristics of offshore wind turbine gearboxes and a summary is also given.

This paper aims to systematically introduce the relevant contents of wind turbine gearboxes and their reliability analysis. The contents of wind speed data processing, predictive modeling and reliability analysis of major components are also comprehensively reviewed, including the classification and principle introduction of these contents.

Despite politicians sometimes playing an active agentic role in firms’ resource dependency and in the outcomes of corporate political activity (CPA), there is limited research on the supply-side dynamics of political markets and the contingent role of normative institutions. This study aims to examine the relationship between managerial regulatory engagement (MRE) − a type of CPA − and access to bank finance, and how this relationship is moderated by country-level religiosity and religion policy regime.

Using data from over 37,000 firms in 43 sub-Saharan African countries and drawing on resource dependency and institutional theories, the authors deploy robust and sophisticated statistical analyses to test their hypotheses.

This study finds that MRE has a positive impact on access to bank finance. This effect is stronger in countries with more formal religion restriction where morality does not inhibit politicians’ discriminatory behaviour. However, this effect is weakened in countries where high levels of religiosity and more formal religion support curtail amoral rent provision.

These findings shed light on how firms’ use of CPA to manage resource dependency is affected by the influence of institutional religiosity on the agency of politicians. This study offers important theoretical contributions to the literature and generate useful implications for managers and policymakers.

This study aims to explore the concept of institutional orientation for B2B firms, defined as their ability to understand and adapt to the institutional factors of foreign markets. It examines how internal and external moderators influence the relationship between institutional orientation and export performance.

This study used a purposive sampling survey targeting B2B 257 exporting firms, ensuring representation across company sizes, industries and international experience. The firms come from France and Tunisia, chosen for their institutional, cultural and economic differences.

This study finds that the relationship between institutional orientation and export performance is not supported. However, the study demonstrates that this relationship becomes significant when moderated by channel networking capability, structural organicity, customer dynamism and competitive intensity.

This study contributes to the literature by providing a more nuanced view of the relationship between institutional orientation and export performance in B2B firms and by exploring how internal and external contextual factors moderate it, an area that has not been thoroughly investigated.

The aim of this paper is to investigate (1) whether the different dimensions of internationalization experience have different effects on internationalization speed? (2) And how the degree of digitalization plays a moderating role in these relationships?

The authors test the hypotheses on a sample of 431 Chinese listed companies export data from 2007 to 2016, using multiple regression analysis.

The international expansion experience to developed economies will accelerate the internationalization speed of MNCs, while international expansion experience to emerging economies has an inverted U-shaped relationship with internationalization speed. The digitalization degree weakens the relationship between international experience and internationalization speed, whether it is international expansion experience to developed or emerging economies.

By decomposing the dimensions of international experience and considering the degree of digitalization as a new moderating variable, the paper helps to clarify the debate on the relationship between international experience and speed of internationalization, thus contributing to the internationalization speed literature and the digital technology perspective. Revealing the process of international experience affecting internationalization speed has implications for MNCs to achieve high-quality and rapid internationalization.

Our study explores the relations of formal and informal network ties in acquiring financial, knowledge and human resources from a social network theory perspective in a low-income country’s entrepreneurial ecosystem (EE) marked by institutional voids and limited resources.

We collect network data on 154 Nepalese entrepreneurs to unravel the resource acquisition dynamics stemming from formal and informal network ties. We analyze the data using social network analysis and node-level regression.

Our findings reveal the critical relationship between formal and informal networks in resource acquisition for entrepreneurs in low-income countries with limited resources. The utilization of formal and informal network ties depends on the institutional context and the availability of resources. Entrepreneurs utilize formal network ties to bridge networks and informal network ties to establish interconnected relationships. Entrepreneurs employ both ties within a strong institutional presence, leading to higher network centrality. Conversely, weak institutional structures result in scattered and fragmented networks.

Our study fills a gap in the literature by examining the relationship between entrepreneurs’ formal and informal network ties for resource acquisition in a resource-scarce, low-income country context. We highlight the significance of networks and offer valuable empirical insights using social network analysis, making our study unique and methodologically informative.