This study rethinks innovation diffusion in craft-based small and medium-sized enterprises (SMEs) by examining how cultural logics and collective governance shape selective digitalization. Drawing on a qualitative case of Ata handicraft SMEs in Bali, Indonesia, the study analyzes in-depth...

Both the demand for skilled labor and the skill wage premium have become increasingly dispersed across the United States. This paper examines how technological change within occupations drives these uneven local developments. Combining a novel measure of technological change-capturing shifts in...

Using two waves of nationally representative Danish firm surveys linked to employer- employee administrative registers, we study how adoption varies across artificial intelligence (AI) and related advanced technologies. We show that AI adoption is highly technologyspecific. While firm size and...

Academic spin-offs (ASOs) are one of the main means of relationship between universities and the market. ASOs transform scientific research results into products, services, or processes that can be commercialized, promoting the transfer of technology between the academic and industrial sectors....

Using two waves of nationally representative Danish firm surveys linked to employer-employee administrative registers, we study how adoption varies across artificial intelligence (AI) and related advanced technologies. We show that AI adoption is highly technology-specific. While firm size and...

This study investigates the performance and science mapping of ICT adoption in SMEs through a bibliometric analysis of Scopus-indexed publications. We examine how the ICT-in-SMEs literature evolved over 1997-2024 and where accounting and sustainability themes are situated within that corpus....

This paper combines international evidence from worker and firm surveys conducted in 2025 and 2026 to document large gaps in AI adoption, both between the US and Europe and across European countries. Cross-country differences in worker demographics and firm composition account for an important...

Using primary data collected from 3,493 households in the Faridpur district of Bangladesh, this study investigates the factors influencing farmers' preference for high-yielding rice varieties over other beneficial traits such as nutritional value, stress tolerance, and input efficiency....

Robo-advisors are evolving fintech solutions that ask potential clients about their investment purpose and time horizon and then offer investment strategies to reach different goals. This study aims to build on prior research and gain insights into the influence of innovation attributes...

This study aims to discuss the driving forces and obstacles that influence the usage of ChatGPT among higher education postgraduate research scholars. The data analysis was conducted using the partial least squares structural equation modeling (PLS-SEM) with the consideration of 436 valid...

This paper combines international evidence from worker and firm surveys conducted in 2025 and 2026 to document large gaps in AI adoption, both between the US and Europe and across European countries. Cross-country differences in worker demographics and firm composition account for an important...

Using two waves of nationally representative Danish firm surveys linked to employer- employee administrative registers, we study how adoption varies across artificial intelligence (AI) and related advanced technologies. We show that AI adoption is highly technologyspecific. While firm size and...

This paper studies information diffusion in a large organization through a field experiment at the World Bank. The paper focuses on transmission of scientific evidence on the impacts of generative artificial intelligence by experimentally varying whether research findings are shared with senior...

This article examines how generative artificial intelligence (GenAI) could affect labor markets globally, with particular attention to the uneven distribution of risks and opportunities between advanced and developing economies. Cross-country differences in occupational structure suggest that...

We develop a novel firm-level indicator of Artificial Intelligence adoption in Europe (MAP-AI) by extracting information on AI usage from more than three million firm websites from Belgium, France, Germany, and Luxembourg (2016-2024) using a Large Language Model. The indicator captures realized...

We experimentally investigate how the timing of, and commitment to, an environmental regulation affects efficient technology adoption under emission taxes and tradable permits. An environmental regulator can either commit ex-ante to a specific policy level or ex-post to a rule on how to adjust...

We examine the long-term labor market impact of the steam engine, an early general-purpose technology, by linking newly digitized 19th-century records from Prussia to modern German labor market data (1975-2019). Regions with a higher concentration of steam engines per worker in 1875 exhibit...

Green technology innovation (GTI) is crucial for enhancing the resource utilization of construction and demolition waste (CDW). However, consumer resistance to products made from recycled CDW significantly constrains their advancement. Existing studies largely emphasize government policies and...

This study investigates the complex, nonlinear dynamics of the achievement of Sustainable Development Goals (SDGs) within national innovation ecosystems (NIEs), addressing a critical gap in understanding SDG saturation. Studying this topic is crucial because, despite the growing importance of...

Background: This study examines the influence of AI-driven supply chains on the adoption of automation and robotics within Jordanian manufacturing firms, emphasizing the role of supply chain adaptability and agility as mediators and market turbulence as a moderator. Methods: Drawing on dynamic...

Background: Artificial Intelligence (AI) is increasingly adopted across logistics and service operations, yet limited research explains how it supports back-end event logistics or what factors enable or hinder its implementation. This study investigates how AI can be applied across event...

Background: The rapid diffusion of large language models (LLMs) such as Claude, ChatGPT, Gemini, LLaMA, and Mistral is reshaping logistics and supply chain management by embedding generative intelligence into planning, coordination, and governance processes. While prior studies emphasize...

Artificial intelligence (AI) is diffusing rapidly in the workplace, yet aggregate productivity gains remain limited. This paper examines the dual diffusion of AI – through both formal, employer-led and informal, employee-initiated adoption – as potential explanation. Using a representative...

Agricultural sector in Uzbekistan is undergoing rapid modernization driven by institutional reforms and mounting pressure to ensure sustainable land and water resource use. This study investigates the adoption and impacts of four sustainable agricultural practices (SAPs) promoted for sustainable...

This chapter presents a tractable framework for the study of technology adoption and diffusion in the context of economic development. Firms in countries behind the world technology frontier can rapidly adopt new techniques from the world frontier. Lower absorptive capacity (because of weak...