DATA GOVERNANCE, INTEROPERABILITY AND STANDARDIZATION: ORGANIZATIONAL ADAPTATION TO PRIVACY REGULATION

The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data architecture that facilitate internal data governance – Application Programmatic Interfaces (APIs) that publish interdepartmental data and standardization of identity and access management (IAM) software – in shaping large dataintensive corporations’ adaptation to privacy regulation. Using annual establishment data for the largest U.S. financial services corporations and the enforcement of the General Data Protection Regulation (GDPR) in 2018 as a natural experiment, we show that internal data APIs and standardization of IAM software significantly mitigate establishments’ revenue loss and IT budget reduction in response to GDPR enforcement. Compliance costs measured by IT hiring increased substantially after GDPR enforcement only for firms without internal data APIs. Our findings highlight the importance of interoperability and standardization as technical conditions that facilitate dynamic integrative capability, allowing large data-intensive corporations to ensure proper data governance and adapt to privacy regulation

Innovation and Design in the Age of Artificial Intelligence

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Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle

This study examines the impact of GitHub Copilot on a large sample of Copilot users (n=934,533). The analysis shows that users on average accept nearly 30% of the suggested code, leading to increased productivity. Furthermore, our research demonstrates that the acceptance rate rises over time and is particularly high among less experienced developers, providing them with substantial benefits. Additionally, our estimations indicate that the adoption of generative AI productivity tools could potentially contribute to a $1.5 trillion increase in global GDP by 2030. Moreover, our investigation sheds light on the diverse contributors in the generative AI landscape, including major technology companies, startups, academia, and individual developers. The findings suggest that the driving force behind generative AI software innovation lies within the open-source ecosystem, particularly in the United States. Remarkably, a majority of repositories on GitHub are led by individual developers. As more developers embrace these tools and acquire proficiency in the art of prompting with generative AI, it becomes evident that this novel approach to software development has forged a unique inextricable link between humans and artificial intelligence. This symbiotic relationship has the potential to shape the construction of the world's software for future generations

Informatics Technology Mimics Ecology: Dense, Mutualistic Collaboration Networks Are Associated with Higher Publication Rates

Information technology (IT) adoption enables biomedical research. Publications are an accepted measure of research output, and network models can describe the collaborative nature of publication. In particular, ecological networks can serve as analogies for publication and technology adoption. We constructed network models of adoption of bioinformatics programming languages and health IT (HIT) from the literature

BlocKit:A physical kit for materializing and designing for blockchain infrastructure

Blockchain is a disruptive technology which has significantly challenged assumptions that underpin financial institutions, and has provoked innovation strategies that have the potential to change many aspects of the digital economy. However, because of its novelty and complexity, mental models of blockchain technology are difficult to acquire. Building on embodied cognition theories and material centered-design, we report an innovative approach for the design of BlocKit, a physical three-dimensional kit for materializing blockchain infrastructure and its key entities. Through an engagement with different materials such as clay, paper, or transparent containers we identified important properties of these entities and materialized them through physical artifacts. BlocKit was evaluated by 15 blockchain experts with findings indicating its value for experts’ high level of engagement in communicating about, and designing for blockchain infrastructure. Our study advances an innovative approach for the design of such kits, an initial vocabulary to talk about them, and design implications intended to inspire HCI researchers to engage in designing for infrastructures

Contrasting perspectives of strategy making: applications in 'Hyper' environments

We revisit the original meaning of turbulence in the socioecological tradition of organization studies and outline a perspective on strategy making grounded in that tradition. This entails a contrast of the socioecological perspective with the more well-known neoclassical perspective on strategy, based on their core decision premises and their different understandings of environmental turbulence. We argue that while some mainstream strategy approaches have taken important strides toward addressing advanced turbulence, many others remain tethered to the neoclassical origins of the strategy discipline and are insufficiently responsive to the new landscape of strategy that now characterizes many industries. This new landscape is construed as the ‘hyper environment’, in which positive feedback processes and emergent field effects produce high volatility. We use two case illustrations from the US healthcare sector to examine how neoclassical and socioecological perspectives contribute to strategizing in hyper environments. Implications for strategic management theory and practice flow from this analysis