We examine the trade-off between functionality and data privacy inherent in many AI products by conducting a randomized survey experiment with 1,734 participants from the US and several European countries. Participants' willingness to adopt a hypothetical, AI-enhanced app is measured under three...

This study aims to provide insights to support organizations in building effective strategies for adopting Artificial Intelligence (AI) and improving project management processes. It focuses on open innovation projects. It employs a comprehensive and systematic literature review (SLR). A total...

Generative Artificial Intelligence (GenAI) is revolutionizing innovation management by reshaping organizational structures and processes. Unlike traditional AI, which primarily focused on automation and prediction, GenAI introduces the capability to create new content, ideas, and solutions,...

Optimising resource efficiency is essential for sustainable product lifecycle management (PLM). This motivates the use of novel methodologies such as sustainable design, circular economy concepts, and causal machine learning algorithms. This study focuses on repair as one of the circular economy...

The adoption of Artificial intelligence (AI) technology in the workplace is becoming more common, with several research highlighting both its positive and adverse influence on employee productivity (EP) and organizational performance (OP). Furthermore, there is a scarcity of research focused on...

The hospitality sector increasingly grapples with the tension between operational efficiency and personalized guest services. In response, this study develops and evaluates a novel platform for dynamic room cleaning and resource allocation, guided by open innovation principles and complexity...

The rapid rise of Artificial Intelligence (AI) brings forth an array of challenges and concerns that might hinder adoption and prevent the seizing of innovation opportunities. Coupled with the low success rate of digitalisation projects, the urgency for a structured approach to AI-driven...

Artificial intelligence (AI) technology has been rapidly evolving, necessitating that discussions on the need and design of regulatory frameworks be taken seriously. This paper reviews literature regarding AI regulations on a theoretical versus a practical level. It examines the different models...

This paper investigates the economic and societal impacts of Artificial Intelligence (AI) in the public sector, focusing on its potential to enhance productivity and mitigate labour shortages. Employing detailed administrative data and novel occupational exposure measures, we simulate future...

Machine learning predictions are typically interpreted as the sum of contributions of predictors. Yet, each out-of-sample prediction can also be expressed as a linear combination of in-sample values of the predicted variable, with weights corresponding to pairwise proximity scores between...

Artificial intelligence (AI) is crucial in achieving the carbon peak and neutrality goals and mitigating climate change. Although previous studies have explored cross-sectional differences in corporate carbon emissions, temporal heterogeneities in firm lifecycles have been overlooked. Therefore,...

There are at least three existential challenges to contemporary societies, as we know them namely first, the complete rupture of the social pact which characterized Glorious Decades after WWII in most of Western societies; and second, the deepening of the patterns of informatization and...

Research on the labor market implications of artificial intelligence has focused principally on high-income countries. This paper analyzes this issue using microdata from a large set of low- and middle-income countries, applying a measure of potential artificial intelligence occupational...

While artificial intelligence (AI) adoption holds the potential to enhance business operations through improved forecasting and automation, its relation with average productivity growth remain highly heterogeneous across firms. This paper shifts the focus and investigates the impact of...

The techno-geopolitical rivalry between China and the United States has intensified in recent years. Turkey's souring relations with the US over the past decade has prevented the former from reaping the spoils of the Sino-US tech war as an American ally. Ankara has its own ambitions in the...

Purpose - The purpose of this paper is to report on how the barriers that prevent or hinder the applicability of artificial intelligence (AI) impact its use in an insurance company. Design/methodology/approach - Through bibliographic research, this paper maps the literature to identify the...

From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models. While AI enhances predictive performance and...

The rapid advancement of artificial intelligence (AI) technologies, particularly generative AI and large language models (LLMs), has ushered in a new era of possibilities for the financial sector. This paper explores the integration of these cutting-edge technologies into financial sector risk...