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Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

Relying on mergers and acquisition transaction-level data set and adopting a more region-specific approach with a focus on industry-region pairs, this paper aims to examine how cross-border acquisitions (CBAs) have an effect, in terms of technological spillover and collaboration, on European regional clusters.

Adopting an industry-region pair approach, this study is based on a quantitative analysis of regional clusters belonging to 262 European regions and 25 patenting industries. Different thresholds of industrial specialization are used to identify clustering industries within a region. Invention performance at the regional cluster level is defined through two sets of different measurements to assess the impact of CBAs on invention quantity performance and internal and external technological collaboration.

The results reveal that CBAs have a positive and significant impact on the number of patents as well as the number of internal and external technological collaborations and that this effect is persistent over time. Furthermore, through exploring the interindustry technological spillover effect of CBAs registered in the same region of a cluster but outside the cluster itself, the authors found that CBAs in a regional cluster are inclined to produce technological spillovers within the cluster but no significant effects in the other industries of the region.

This paper is an attempt to empirically explore CBAs and technological spillover in European regional clusters. Therefore, it contributes to the debate, thanks to the use of an industry-region pair approach.

This paper considers a broader concept of economic integration in order to analyze the impact of integration on economic growth within the context of the knowledge-driven endogenous economic growth model. The equilibrium growth rate derived from the model implies that while increasing the flow of ideas from integration speeds up the long-run rate of growth, impact of trade liberalization is complicated and not decisive. The overall impact of economic integration on • economic growth depends on various aspects of the economy which are related to its R&D investment such as knowledge spillovers, and industrial and market structures. The results of this paper suggest that policy makers need to consider international economic policy, market structure and industrial policy all at once, with special emphasis on the effect affirms' R&D activities when making decisions on economic integration.

Consistent with the knowledge spillover theory of entrepreneurship, the purpose of this paper is to recognise the complementary entrepreneurial role of knowledge transfer intermediary organisations in the context of two Central and Eastern European (CEE) countries: Poland and the Czech Republic.

The aim was achieved through empirical studies relying on multiple-case study methodology and cross-case analysis covering 21 cases of commercialisation intermediary institutions. It was assumed that institutional and geographical conditions can impact the knowledge-based opportunity exploitation between different national economies.

Research confirmed that scientists in Poland and the Czech Republic are the central figures of the commercialisation process in terms of entrepreneurial opportunity recognition; however, they need support from intermediary organisations in many other entrepreneurial activities. The history of knowledge commercialisation and its intermediating entities in these countries is relatively young and spin-off company creation is not a common practice. Expertise knowledge, creativity and self-confidence admitted, by the respondents in both countries, can be an optimistic sign for the future efforts in fostering innovativeness of CEE countries. Stronger support of formal institutional framework and policies in those countries is expected.

Science commercialisation has lately attracted much attention, but only a few studies have tried to develop conceptual frameworks considering knowledge-based entrepreneurship and knowledge commercialisation in their relations and subsequential roles. Also, over the past couple of years literature in this area has expanded mainly relying on observations in the USA and Western European countries. Hence, this study allowed to collect findings from CEE countries for which data are still insufficient but can significantly contribute to the theory development. Also, some recommendations for policymakers arise from this study. Further research could validate the results in an extensive quantitative study.

This paper examines the process optimization method of the online sales model of information product demand concerning the spillover effect. It illustrates the spillover effect (SE) of online product demand compared with traditional market demand. Also, optimized the SE for the ethical and ordinary consumer.

This article primarily focused on two types of models for online marketing: one is wholesales, and another is the agency. Firstly, the wholesale and agency models without SE and the wholesale and agency models with SE are constructed, respectively, to realize the SE in different sales models. Secondly, online channel participants' optimal price, demand and profit under variant conditions are compared and analyzed. Finally, efficient supply chain theory is optimized for the decision-making of online marketing consumers using an equation-based comparative analysis method.

The study found that when SEs are not considered, stronger piracy regulation makes online channel participants more beneficial. When the positive SE is strong, it is detrimental to manufacturers. When SEs are not considered, online channel participants only reach Pareto in agency mode. Pareto optimality can be achieved in wholesale and agency modes when SEs are considered.

The research has practical implications for an effective supply chain model for online marketing. This is the first algorithm-based comparative study concerning theoretical spillover effect analysis in supply chain management.

The purpose of this paper is to analyse cooperation in R&D in the automobile industry in Spain. It first examines to what extent firms cooperate with external actors in the field of technological innovation, and if so, with what type of cooperation partner, paying special attention to the differentiation according to the size of the firms. Second, it aims to study how the firm’s size may affect not only the decision of cooperating but also with which type of partner.

The data in this study came from the surveys done in 2010 and 2013 by the Technological Innovation Panel (PITEC) for firms in the automotive industry. The paper estimates a bivariate probit model that takes into account the two types of cooperation mostly present in such an industry, vertical and institutional, explicitly considering the interdependencies that may arise in their simultaneous choice.

The empirical study confirms that small firms cooperate less frequently than big firms and that giving more importance to information publicly available and having public financial support from local and national governments are important determinants of collaboration agreements, mainly in the case of customers and suppliers.

This paper contributes to the understanding of the motivations of the automotive industry for engaging in R&D cooperation agreements. The authors study how the firm’s size may affect not only the decision of cooperating but also with which type of partner.

This study aims to focus on a key unanswered question about how digitalization and the knowledge processes it enables affect firms’ strategies in the international arena.

The authors conduct a systematic literature review of relevant theoretical and empirical studies covering over 20 years of research (from 2000 to 2023) and including 73 journal papers.

This review allows us to highlight a relationship between firms’ international strategies and the knowledge processes enabled by applying digital technologies. Specifically, the authors discuss the characteristics of patterns of knowledge flows and knowledge processes (their origin, the type of knowledge they carry on and their directionality) as determinants for the emergence of diverse international strategies embraced by single firms or by populations of firms within ecosystems, networks, global value chains or alliances.

Despite digital technologies constituting important antecedents and critical factors for the internationalization process, and international businesses in general, and operating cross borders implies the enactment of highly knowledge-intensive processes, current literature still fails to provide a holistic picture of how firms strategically use what they know and seek out what they do not know in the international environment, using the affordances of digital technologies.

The purpose of this paper is to thoroughly investigate the interplay between institutions, foreign direct investment (FDI) and entrepreneurship in the context of emerging markets (EMs).

The authors argue that the impact of FDI on entrepreneurial activity depends on different natures of capital flow and entrepreneurial motivation and relates to the quality of institutional environment. First, the roles of inward and outward FDI are examined in connection with the new firm creation by opportunity- and necessity-motivated entrepreneurs. Second, the integrated influences of (inward/outward) FDI and governance quality (GQ) on (opportunity/necessity) entrepreneurship are tested. This nexus of relationships is analyzed through segmented regressions using the GEM data of 39 EMs over the 2004–2015 period.

It is evidenced that the quality of governance infrastructure affects the relationship between FDI and entrepreneurship: in emerging countries with low GQ, opportunity entrepreneurship is stimulated by inward FDI and diminished by outward FDI; and in emerging countries with high GQ, necessity entrepreneurship is discouraged by inward FDI and promoted by outward FDI.

This research has implications for the institutional context-based execution of public policy in emerging economies. As the entrepreneurial effects of inward and outward FDI are pronounced differently under the two types of entrepreneurship and the two extremes of GQ, public policy makers who recognize the catalytic role of FDI in domestic business development should take the distinct institutional context of their country into consideration.

The paper contributes to the extant literature on international entrepreneurship in emerging economies by making a breakdown on the roles played by different types of FDI in the entrepreneurial activity, analyzing the mediating effects of GQ on the relationship between inward/outward FDI and entrepreneurship, and interpreting the capital and institutional determinants of entrepreneurship in terms of entrepreneurial motivations by opportunity and necessity.

Suppliers are essential partners in innovation projects, as they own resources, knowledge assets and capabilities that complement those of buying firms. In today’s competitive environment, firms may choose to collaborate with suppliers beyond dyads, forming triadic or three-party relationships. Using the theoretical lens of the relational view (RV), this study aims to explore what type of triad configurations firms use to govern supplier relationships in collaborative innovation projects, how they choose to share resources and implications for project performance.

The authors use interview data from buyers and suppliers in six case studies of firms involved in ten collaborative innovation projects. The four constructs of the RV are used to observe how firms govern triadic relationships, combine complementary resources, invest in relationship-specific assets and manage information and knowledge exchange with and between suppliers in innovation projects.

Four archetypes of triadic relationships in innovation projects – labeled Triangle, A-frame, D-Frame and Line – are presented and characterized in terms of their structural and relational features. The authors discuss how each triad archetype is applicable to different innovation projects according to specific project characteristics.

This study is pioneering in its empirical examination of triadic relationships in collaborative innovation projects. It provides a novel typology of four archetypes of triad from the perspective of collaborative relationships with suppliers. Through applying the RV, it advances understanding of how triadic relationships are governed, how they invest in relationship-specific assets, how they combine complementary resources and how they exchange knowledge and information in each type of triad appropriate to different innovation project settings. To date, much of the extant literature has focused on dyads.