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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.

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.

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.

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.

In public firms, the largest shareholder can make decisions on cash dividends in favor of its own interests at the expense of other investors. While the second largest shareholder can actively participate in corporate governance and protect the interests of investors, its impact has not been fully understood. This research investigates how shareholding ratio and ownership type of the second largest shareholder moderate the relationship between controlling shareholder's shareholding ratio and cash dividends.

The authors conducted econometrics analysis based on a panel data of China's A-share listed companies from 2007 to 2017.

The authors find that the controlling shareholder's shareholding ratio has a significant negative impact on cash dividends. However, this influence is conditional on the shareholding ratio of the second largest shareholder. The negative impact is weakened when the second largest shareholder holds a large proportion of shares or when the shareholding gap between the second largest and the controlling shareholder is small.

This research extends the existing literature by highlighting the nuanced moderating effect of the second largest shareholder on the relationship between the controlling shareholder and cash dividends, thus making a unique contribution to the understanding of corporate governances in the emerging financial market in China.

This study aims to explore which relational factors are crucial for accelerator-based start-ups to achieve high financial performance and whether innovation levels influence this relationship. Utilizing fsQCA and drawing from the resource-based view (RBV), we analyze 128 start-ups in a Spanish accelerator, split by innovativeness, to understand the impact of relational and human capital factors on performance.

The study uses fuzzy-set qualitative comparative analysis (fsQCA) to investigate conditions leading to high financial performance among 128 start-ups in a Spanish accelerator, divided by innovativeness. Four key factors are analyzed: social capital, social competence, resource mobilization and entrepreneurial ecosystem support. fsQCA examines complex relationships between these factors and financial performance.

Relational and human capital factors significantly impact start-up financial performance, varying with innovativeness. Highly innovative start-ups benefit from social competence and networked support, while less innovative but profitable start-ups rely on resource mobilization skills. The study highlights the contingent value of these factors, showing that unique configurations drive financial success.

The paper enhances the RBV in entrepreneurial contexts by highlighting the critical role of relational resources and their configurations. It suggests social competence and networked support are crucial for highly innovative start-ups, while resource mobilization is key for less innovative ones. These findings encourage nuanced theorizing of start-up success strategies, considering varying innovativeness levels and their impact on performance.

This study enhances understanding of the relationship between relational factors and financial performance in accelerator-based start-ups, considering innovation levels. It provides insights into how different configurations of social capital, competence, resource mobilization and ecosystem support lead to success. It underscores the importance of considering the contingent value of relational factors for start-up growth.

This systematic review comprehensively examines corporate political contributions (CPC), exploring their antecedents, evolving mechanisms and diverse organizational outcomes. It offers a holistic understanding of the business–politics relationship and proposes a managerial decision-making framework for strategic CPC engagement. The study also identifies gaps in the literature and suggests future research avenues.

This study employs a systematic review process to assess the CPC literature. Utilizing leading journals and databases like Web of Science, Scopus and EBSCO, we apply rigorous screening criteria to select 72 relevant papers critically analyzed using the “Antecedents-Phenomenon-Consequences” framework.

The research identifies two primary dynamics influencing CPC: “essential need” for firm survival and “elective choice.” It reveals that CPC strategies impact various firm performance metrics, including market returns, operational performance and policy outcomes. Research is concentrated in the US, with a limited focus on developing economies. Future research should focus on industry-specific studies, timing of contributions and cross-national comparisons.

This paper provides managers with a comprehensive framework for CPC engagement, helping them navigate political dynamics, optimize contributions and enhance firm performance while maintaining ethical and strategic considerations.

This paper systematically reviews the complex political strategy of CPC, providing a nuanced understanding of how CPC operates across different countries and contexts. It offers academics and professionals insights to develop robust theories and make informed decisions in a modern, complex business environment.

The purpose of this paper is to examine the global sourcing process of Italian craft microbreweries, particularly by identifying the main antecedents leading to the perception of psychic distance. The study also examines how perceived psychic distance affects the selection of intermediaries and the intention to maintain these relationships, with a specific focus on how intermediaries bridge cultural and logistical gaps in international business.

The paper employs a qualitative research methodology and adopts a multiple case study approach, focusing on seven small breweries located in central Italy. The study applies thematic analysis to identify and examine key themes and sub-themes related to global sourcing processes, perceived psychic distance and the role of intermediaries. Additionally, the adoption of network theory provides deeper insights into the relationships between breweries, suppliers and intermediaries.

Results reveal that perceived psychic distance significantly affects global sourcing decisions, with cultural differences, regulatory barriers and communication challenges emerging as critical factors. Intermediaries play a crucial role in facilitating transactions, building trust and providing logistical support. The study highlights the importance of cultural competence, effective communication strategies and trust-building in mitigating the adverse effects of psychic distance.

Limitations are primarily related to the geographical origin of the sample, which is limited to regions in central Italy. Despite this, the study provides valuable insights for craft breweries and other small businesses engaged in international trade. Moreover, it emphasizes the critical role of intermediaries in reducing perceived distance and effectively managing global supply chains.

The study explores a topic largely overlooked in the literature, particularly regarding the analysis of perceived psychic distance, its antecedents and its impact on intermediary selection within the craft beer sector. Additionally, the paper offers valuable guidelines for specific categories of stakeholders (i.e. local intermediaries, foreign suppliers and Italian firms producing raw materials) and provides actionable insights for practitioners, including strategies for supplier selection, quality control and effective communication.

Digital device recycling platforms (DDRPs) are customer-to-business online marketplaces that allow consumers to trade in or sell their used electronics, like smartphones and laptops, directly to a business for cash or credit. Guaranteed data destruction is a service provided by most DDRPs to securely erase all data on devices being recycled or traded in. Perceived credibility of the service refers to the extent to which customers are confident in the effectiveness and reliability of the service offered by a given DDRP. Grounded in privacy calculus theory, the current study aims to explore the influence of perceived credibility of guaranteed data destruction service (GDDS) on one’s intention to use a DDRP.

An empirical study was conducted through an online survey of Chinese DDRP users. The proposed model was tested by analyzing the collected data using the structural equation modeling approach.

Our results indicate that perceived credibility of GDDS affects users’ intention to use DDRPs by decreasing privacy concerns and increasing perceived convenience and environmental benefits of these platforms.

This study’s findings are based on data collected from Chinese DDRP users, which may limit the generalizability of the results to other cultural or market contexts.

This study provides practical guidance for DDRPs, emphasizing the importance of enhancing perceived credibility through transparent data destruction practices and certifications.

The findings of the current study offer implications for theory development in sustainable information technology and e-commerce as well as practical suggestions for increasing usage of DDRPs.