Digital platforms alter almost every industry in the modern economy (De Reuver et al., 2018). For instance, in the media industry, there is an increasing shift from traditional media outlets such as newspapers and television to online newspapers, social media, or platforms such as Netflix or...

Much of today's software relies on programming code shared openly online. Yet, it is unclear why volunteer developers contribute to open-source software (OSS), a public good. We study OSS contributions of some 22,900 developers worldwide on the largest online code repository platform, GitHub,...

Software engineering is a field with strong geographic concentration, with Silicon Valley as the epitome of a tech cluster. Yet, most studies on the productivity effects of agglomerations measure innovation with patent data, thus capturing only a fraction of the industry's activity. With data...

Much of today’s software relies on programming code shared openly online. Yet, it is unclear why volunteer developers contribute to open-source software (OSS), a public good. We study OSS contributions of some 22,900 developers worldwide on the largest online code repository platform, GitHub,...

How can teams organize for productive online collaboration? The coronavirus pandemic has led to a large and persistent shift toward remote work. Using fine-grained data from the world's largest platform for open-source software development, we find that the pandemic reduced the productivity of...

Although recent studies have examined collaboration within open-source software projects, the focus has primarily been on their motivations and governance. This study explores the complex dynamics of trust and involvement among Cameroonian software developers in open-source projects. In the...

Natural and manmade disasters like landslides, floods, earthquake, cyclone, shooting, riots have detrimental effect in precious life, infrastructure, and economy. This study addresses the need for a comprehensive analysis of Generative Pre-Trained Transformers (GPT) in the context of open-source...

Die zunehmenden geopolitischen Spannungen, vor allem durch den Konflikt zwischen Russland und der Ukraine, stellen Deutschland und seine Unternehmen vor eine komplexe Bedrohungslage, die mit erhöhten Risiken aufgrund von Sabotageaktivitäten und Wirtschaftsspionage einhergeht. Vor diesem...

Russia's invasion of Ukraine in February 2022 led Western governments to impose extensive sanctions on the Russian economy and the people who maintain the regime - the so-called oligarchs. The enforcement of these sanctions and the manoeuvres of these oligarchs to evade them have created new...

There has been a growing interest in open-source innovation and collaborative software development ecosystems in recent years, particularly in industries dominated by intellectual property and proprietary practices. However, consortiums engaged in these collaborative efforts often face...

Recent advances in artificial intelligence (AI) technology demonstrate considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid to how AI might change the...

Germany must decarbonise all energy sectors to meet international and national climate goals. This task necessitates linking the electricity with the gas, heat and mobility sectors. On the one hand, sector coupling increases the demand for electrical energy and changes well-known demand patterns...

Strategic energy planning models play a crucial role in facilitating well-informed decision-making processes for the energy transition. However, the limited accessibility of most energy models has led to the emergence of open-source alternatives, promoting transparency and inclusivity. In this...

The ongoing transformation towards a sector-coupled energy system based on renewable generation leads to more complex grid-based energy system models. It is a crucial task to reduce the models' complexities in order to keep optimisation problems tractable while at the same time generating...

The credit scoring industry has a long tradition of using statistical models for loan default probability prediction. Since this time methodology has strongly evolved, and most of the current research is dedicated to modern machine learning algorithms which contrasts with common practice in the...

Digital tools potentially enable remote collaboration. Analyzing how some 191 thousand software developers in the United States collaborate on the largest online opensource code repository platform, I find 79.8% of users clustering in only ten economic areas. Conditional on economic-area...

This study investigates the effects of sponsorship-based funding on open-source software contributors within a knowledge-sharing ecosystem. Specifically, we examine the influence of sponsorship on contributors' activities on the host platform, where funding is received, as well as on a...

Large language models (LLMs) have shown the potential of revolutionizing natural language processing in diverse domains, sparking great interest in finance. However, the finance domain presents unique challenges, including high temporal sensitivity, constant dynamism, and a low signal-to-noise...

We propose an open-source model with leaders and followers to study the electric vehicles (EV) industry theoretically. Our model finds that immaturity of technology and technological competition are the two main reasons EV giants like Tesla and Toyota choose to open-source. Open source has...

Open Research Europe (ORE) is the peer-reviewed open-access publishing platform of the European Commission. It follows the post-publication peer review model to promote scientific transparency and reuse. The Commission plans to develop an infrastructure to underpin ORE in the future that is...