Leib et al. (2024) examine how artificial intelligence (AI) generated advice affects dishonesty compared to equivalent human advice in a laboratory experiment. In their preferred empirical specification, the authors report that dishonesty-promoting advice increases dishonest behavior by...

Humans have developed and employed manuals to systematically organize, standardize, and transfer knowledge for decision-making in organizations. These manuals and standards have served as a "conventional copilot" for humans’ intellectual activities, taking the form of collected references or...

Distributed ledger technology (DLT) and cryptocurrency have revolutionized the financial landscape and relevant applications, particularly in investment opportunities. Despite its growth, the market's volatility and technical complexities hinder widespread adoption. This study proposes a...

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 conducts a detailed examination of Borsa Istanbul Review (BIR) from 2013 to 2023, employing bibliometric analysis, regression analysis, and structural topic modeling (STM) to explore its scholarly impact, authorship patterns, and thematic evolution. Our bibliometric analysis reveals a...

This study examines regional disparities in the factors that affect participation in the Private Pension System (PPS) in Türkiye, focusing on sociodemographic characteristics, personality traits and behavior, and pension and financial literacy. The behavioral factors identified encompass...

Generative Artificial Intelligence (GAI) is emerging as a promising tool with which to improve strategic decision-making in a business environment characterized by increasing complexity. There are external and internal factors that are part of the success of entrepreneurial initiatives. Relevant...

This research examines the proposition that enhancing sustainable innovation can be particularly effective when the focus is on strategy, machine learning, and digitalization. The study specifically targets the complex interactions among strategic alignment (SA), sustainability-oriented...

This study explores the impact of artificial intelligence (AI)-based technologies on leadership-based organizational communication and employee performance within contemporary workplaces. While prior research has acknowledged AI's potential in optimizing communication processes, significant gaps...

Background: Accurate, real-time data about response technologies, capabilities, and availabilities are key to effective emergency response logistics; this is particularly important in remote settings, such as in the Arctic, where limited infrastructure, logistics, and technologies occasion the...

Background: This study investigates digital transformation as a moderating variable in determining the effect of digital technologies, automation, and data integration of upstream and downstream providers on supply chain performance. By filling the existing research gap, the study reveals that...

Background: Supply chain collaboration technologies (SCCTs) are digital tools designed to enhance communication, coordination, and integration among supply chain stakeholders. These tools are essential for enhancing transparency, efficiency, and traceability within complex supply chain networks,...

This paper uses seven standard market power indicators (price-cost margin, and six drawn upon the production approach) to estimate the effect market power on the rate of change of total factor productivity for a sample of formal manufacturing firms of Peru for the period 2002-2019. After...

Retrieval-augmented generation (RAG) has emerged as a promising way to improve task-specific performance in generative artificial intelligence (GenAI) applications such as large language models (LLMs). In this study, we evaluate the performance implications of providing various types of...

The adoption of artificial intelligence by enterprises in the EU countries increased significantly between 2021 and 2024, but the recorded values were uneven and very small. This study analyzed the main characteristics of the artificial intelligence adoption process, its dynamics and patterns...

Artificial intelligence technology is increasingly becoming integral in business, and banks need to implement this technology on a large scale for competitiveness. However, studies on artificial intelligence in the banking sector are limited, and customers are concerned about its implementation....

While an influential body of economic literature shows that allowing for communication between firms increases collusion in oligopolies, so far we have only anecdotal evidence on the precise communication content that helps firms to coordinate their behavior. In this paper, we conduct a...

This study examines both technological and human perspectives on social commerce platform adoption. It analyzes user interactions, social networks, and peer recommendations to investigate the influence of social factors on adoption decisions. Furthermore, it examines how artificial intelligence...

We analyze how financial stability concerns discussed during Federal Open Market Committee (FOMC) meetings influence the Federal Reserve's monetary policy imple- mentation and communication. Utilizing large language models (LLMs) to analyze FOMC minutes from 1993 to 2022, we measure both...