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A significant gap exists in the conceptualization of entrepreneurship in the digital age. This paper introduces a conceptual framework for studying entrepreneurship in the digital age by integrating two wellestablished concepts: the digital ecosystem and the entrepreneurial ecosystem. The integration of these two ecosystems helps us better understand the interactions of agents and users that incorporate insights of consumers' individual and social behavior. The Digital Entrepreneurial Ecosystem framework consists of four concepts: digital infrastructure governance, digital user citizenship, digital entrepreneurship, and digital marketplace. The paper develops propositions for each of the four concepts and provides a theoretical framework of multisided platforms to better understand the digital entrepreneurial ecosystem. Finally, it outlines a new research agenda to fill the gap in our understanding of entrepreneurship in the digital age.

Sussan and Acs (Small Business Economics, 49(1), 55–73, 2017) proposed the “Digital Entrepreneurial Ecosystem” (DEE), a novel framework to guide our understanding of entrepreneurship in the digital age. By integrating literatures on digital ecosystem and entrepreneurial ecosystem, they brought to attention the importance of examining entrepreneurship as an outcome of interactions between biotic and abiotic entities represented by four concepts: Digital User Citizenship, Digital Entrepreneurship, Digital Infrastructure Governance, and Digital Marketplace. This paper revisits, critiques, and refines the framework through the following reconfigurations: (1) Digital User Citizenship is reintroduced as a heterogeneous group of users differentiated by their primary activity, as either consumers or producers. (2) Digital Technology Entrepreneurship encompasses all agents that build complementary products and services connecting to platforms. (3) Digital Multisided Platform is the intermediary for transaction of goods and services, and also a medium of knowledge exchanges that enables and facilitates experimentation, entrepreneurial innovation, and value creation. The main contribution of the paper is in the reconfigurations that clearly lay the ground for a more sustainable DEE—one in which user privacy is protected, platform efficiency enhanced, market competition encouraged, and digital infrastructure secured.

This paper studies matching markets in the presence of middlemen. In our framework, a buyer–seller pair may either trade directly or use the services of a middleman; and a middleman may serve multiple buyer–seller pairs. For each such market, we examine the associated TU game. We first show that, in our context, an optimal matching can be obtained by considering the two-sided assignment market where each buyer–seller pair is allowed to use the mediation services of any middleman free of charge. Second, we prove that matching markets with middlemen are totally balanced: in particular, we show the existence of a buyer-optimal (seller-optimal) core allocation where each buyer (seller) receives her marginal contribution to the grand coalition. In general, the core does not exhibit a middleman-optimal allocation, not even when there are only two buyers and two sellers. However, we prove that in these small markets the maximum core payoff to each middleman is her marginal contribution. Finally, we establish the coincidence between the core and the set of competitive equilibrium payoff vectors.

Recombinant protein-based biotherapeutics drugs have transformed clinical pipelines of the biopharmaceutical industry since the launch of recombinant insulin nearly four decades ago. These biologic drugs are structurally more complex than small molecules, and yet share a similar principle for rational drug discovery and development: That is to start with a pre-defined target and follow with the functional modulation with a therapeutic agent. Despite these tremendous successes, this “one target one drug” paradigm has been challenged by complex disease mechanisms that involve multiple pathways and demand new therapeutic routes. A rapidly evolving wave of multispecific biotherapeutics is coming into focus. These new therapeutic drugs are able to engage two or more protein targets via distinct binding interfaces with or without the chemical conjugation to large or small molecules. They possess the potential to not only address disease intricacy but also exploit new therapeutic mechanisms and assess undruggable targets for conventional monospecific biologics. This review focuses on the recent advances in molecular design and applications of major classes of multispecific biotherapeutics drugs, which include immune cells engagers, antibody-drug conjugates, multispecific tetherbodies, biologic matchmakers, and small-scaffold multispecific modalities. Challenges posed by the multispecific biotherapeutics drugs and their future outlooks are also discussed.

The 26S proteasome is critical for the selective degradation of proteins in eukaryotic cells. This enzyme complex is composed of approximately 70 subunits, including the structurally homologous proteins α1–α7, which combine to form heptameric rings. The correct arrangement of these α subunits is essential for the function of the proteasome, but their assembly does not occur autonomously. Assembly of the α subunit is assisted by several chaperones, including the PAC3-PAC4 heterodimer. In this study we showed that the PAC3-PAC4 heterodimer functions as a molecular matchmaker, stabilizing the α4-α5-α6 subcomplex during the assembly of the α-ring. We solved a 0.96-Å atomic resolution crystal structure for a PAC3 homodimer which, in conjunction with nuclear magnetic resonance (NMR) data, highlighted the mobility of the loop comprised of residues 51 to 61. Based on these structural and dynamic data, we created a three-dimensional model of the PAC3-4/α4/α5/α6 quintet complex, and used this model to investigate the molecular and structural basis of the mechanism of proteasome α subunit assembly, as mediated by the PAC3-PAC4 heterodimeric chaperone. Our results provide a potential basis for the development of selective inhibitors against proteasome biogenesis.

When non-Orthodox Jews becomefrum(religious), they encounter much more than dietary laws and Sabbath prohibitions. They find themselves in the midst of a whole new culture, involving matchmakers, homemade gefilte fish, and Yiddish-influenced grammar.Becoming Frumexplains how these newcomers learn Orthodox language and culture through their interactions with community veterans and other newcomers. Some take on as much as they can as quickly as they can, going beyond the norms of those raised in the community. Others maintain aspects of their pre-Orthodox selves, yielding unique combinations, like Matisyahu's reggae music or Hebrew words and sing-song intonation used with American slang, as in \"mamish(really) keepin' it real.\"Sarah Bunin Benor brings insight into the phenomenon of adopting a new identity based on ethnographic and sociolinguistic research among men and women in an American Orthodox community. Her analysis is applicable to other situations of adult language socialization, such as students learning medical jargon or Canadians moving to Australia.Becoming Frumoffers a scholarly and accessible look at the linguistic and cultural process of \"becoming.\"

The integration of Artificial Intelligence (AI) in manufacturing is a transformation towards increased operational efficiency, adaptability, and sustainability in response to the evolving industrial landscape of Industry 4.0. This study explores the multifaceted role of AI in optimizing manufacturing processes, focusing on its implementation in assembly line configurations, equipment selection, and worker management. We investigate the capabilities of AI to adapt assembly lines to fluctuating product designs and market demands, enhance equipment lifecycle management through predictive maintenance, and optimize workforce allocation based on skills and production needs. Our approach combines a systematic literature review with practical case studies to illustrate current applications and potential advancements AI brings to modern manufacturing. Based on our review of research and current industrial practices, we introduce a novel concept termed AI matchmaking. This tool automates the matching process between available equipment in the market and the specific requirements of factory owners. Our discussions with industry professionals underscore the considerable potential of this tool in facilitating the decision-making processes related to equipment procurement and task allocation. Our work also underscores the need for an integrated approach that considers economic, environmental, and societal sustainability dimensions. This paper highlights not only the technological advancements but also addresses the challenges of data integration, scalability of AI solutions, and workforce adaptation in the context of an increasingly automated industrial environment. Through detailed analysis and discussion, we provide a comprehensive overview of AI’s transformative impact on workers and equipment management in assembly lines. We outline potential avenues for future research in which AI can substantially enhance assembly line management. These include developing predictive models to forecast product evolution, optimizing equipment replacement strategies to incorporate second-hand resources, and ethically integrating AI technologies into manufacturing processes, among others.

In this paper, the role of a matchmaker in transferring climate technologies to developing countries was explored from the perspective of open innovation. As the United Nations Framework Convention on Climate Change’s Technology Mechanism, the Climate Technology Centre and Network (CTCN) has strong convening power amongst the stakeholders who are responsible for climate actions in their country. Our research identified that the CTCN has successfully provided “4 openness” models (open network, open request for Technical Assistance, open technology transfer and finance, and open knowledge for the public) to global partners through its technical assistance (TA) services. Then, on the basis of previous empirical Technical Assistance data and network management a new open innovation model was proposed by considering the CTCN matchmaking activities with key stakeholders (innovation networks) during the climate technology transfer processes. This model explains that the role of the CTCN and innovation networks such as academia/research institutions, governments, and the private sector can be interpreted as outside-in innovation at the first technology outsourcing stage, coupled innovation at the second technology research, development, and demonstration (RD&D) stage, and inside-out innovation at the third technology diffusion stage. Moreover, further matchmaker’s approaches for supporting developing countries to establish a conducive and sustainable innovation system were suggested for the extension of our new model.

Technology Innovation has the potential to play a strategic role in improving the effectiveness and efficiency of national efforts to address climate change. The United Nations (UN) Climate Technology Centre and Network (CTCN) is mandated to support developing countries’ climate change responses through innovative technologies to achieve the goals of the Paris Agreement. In order to enhance the role of the CTCN as an innovation matchmaker, it is important to explore and leverage the implementation potential of new digital technologies and their transformational impact. Thus, in this research, to engage digitalization as an innovative tool with the environment, we first explored digitalization during the climate technology transfer processes by comprehensively reviewing CTCN Technical Assistance (Digitalization Technical Assistance, D-TA) activities in three climate sectors of risk prediction, policy decision making, and resource optimization. Then, by applying analytical methodologies of in-depth interviews with major digital-climate stakeholders and a staged model for technology innovation, we propose future strategies for enhancing the role of CTCN as an innovation matchmaker in the three digitalization cases of digital collection, digital analysis, and digital diffusion.