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...

Negative word of mouth (NWoM) can be a major factor in new product diffusion, as indicated by Goldenberg et al. (2007). We extend their work by accounting for the role of consumer uncertainty for NWoM's impact on adoption dynamics. Using an agent-based simulation framework we compare three...

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...

This study investigates the factors influencing sustainable technology adoption among small and medium-sized enterprises (SMEs) in Malaysia's beauty, health, and wellness sectors. It is grounded in the Technology Acceptance Model (TAM) and extended with elements from the Unified Theory of...

Purpose - This study examines the determinants affecting the adoption of blockchain technology in Jordanian audit businesses, emphasizing age disparities among auditors. This study significantly contributes by analyzing generational differences in blockchain technology (BCT) uptake, offering...

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...

Business dynamism has been slowing globally over the last several decades. In a recent study, Akcigit and Ates (2023) examine the relative importance of different channels behind this development and highlight weakened knowledge diffusion from the technology frontier to followers as a dominant...

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...

Using longitudinal data from the Gallup Panel covering more than 30,000 U.S. employees surveyed from 2023 to 2025, I document heterogeneous adoption of generative AI and its "organizational transmission" within firms. First, I show that the share of active (occasional) AI users grew from 9% to...

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...

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...

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...

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...

In this article, we compare adoption preferences for three important clean energy technologies-rooftop solar PV, heat pumps and electric vehicles using primary data from a nationally representative household survey in Ireland. The survey questionnaire explored a wide range of techno-economic,...

Der vorliegende Bericht untersucht die internationale Verbreitung und strukturelle Ausprägung zweier Schlüsseltechnologien - Künstliche Intelligenz (KI) sowie alternative Antriebe und klimafreundliche Kraftstoffe - auf Basis eines webAI-gestützten Analyseansatzes. Als Datenbasis dient der...

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...

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...

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...

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 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...

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....