econ papers | Gist.Science

Measuring brands in machine answers: A scoping review and validity framework for large language model brand-visibility audits

This scoping review of 38 empirical studies reveals that current AI brand-visibility audits suffer from significant validity gaps and conflicting conclusions due to methodological inconsistencies and commercial biases, prompting the author to propose a two-stage theoretical framework and new reporting standards to reconcile contradictions between brand inclusion and selection in large language model answers.

Charbel Sami Ibrahim2026-10-19

📈 economics

The Conversion Gap: How China, Japan and South Korea Turn AI Inputs into AI Capability, 2017–2025

This paper argues that national AI sovereignty depends more on a state's policy capacity to efficiently convert resources into capability than on resource accumulation alone, revealing that Japan's lag behind China and South Korea stems from systemic inefficiencies in transforming knowledge and compute into AI models rather than a lack of inputs.

Alfredo Merlet2026-10-19

📈 economics

Hybrid VARIMA–Machine Learning Models for Multivariate Macroeconomic and Energy Forecasting

This paper proposes a hybrid forecasting framework that combines the interpretability of VARIMA models with the flexibility of machine learning to capture both linear dynamics and nonlinear residuals, demonstrating superior accuracy and robustness in multivariate macroeconomic and energy forecasting, particularly during periods of economic stress.

Emmanuel GNANDI, Jules SADEFO KAMDEM, Fredy POKOU2026-10-19

📈 economics

Foreign technology in-licensing, regulatory burden, and SME productivity

Using a large-scale dataset of SMEs across 24 emerging economies, this study demonstrates that while regulatory burdens constrain productivity, they paradoxically amplify the productivity gains from foreign technology in-licensing, suggesting that external knowledge acquisition remains a critical strategic advantage for SMEs regardless of institutional constraints.

Olufemi Aluko, Ayobolawole Adewale Ogundipe2026-10-19

📈 economics

The FADE measurement instrument: Assessing cultural values for process exploration in European institutions

This study develops and validates FADE, a 35-item measurement instrument comprising four dimensions (Failure Acceptance, Agility, Disruptiveness, and Ecosystem Thinking) to assess exploration-oriented cultural values in European public sector organizations, thereby complementing existing exploitation-focused frameworks to support BPM ambidexterity.

Tomasz Helbin, Amy Van Looy2026-10-18

📈 economics

Artificial Intelligence and Digital Transformation in Indian Supply Chain Management: A Systematic Review and Meta-Analysis of Applications, Performance Outcomes, and Challenges

This systematic review and meta-analysis of eight studies involving 2,633 participants in India reveals a significant positive association between artificial intelligence-enabled digital transformation and supply chain performance, despite notable contextual heterogeneity and the critical influence of factors like organizational readiness and data quality.

Supreeth S, Sandhya S2026-10-18

📈 economics

Evaluating Workforce Readiness for Digital Transformation in the Automotive Industry: The Case of North Africa

This mixed-methods study of North Africa's automotive industry reveals that while firms are heavily investing in digital transformation, workforce readiness is hindered by significant digital skills gaps and inadequate training, necessitating a strategic shift from technology acquisition to tailored training, leadership support, and inclusive cultural change.

Mohammed Sadky, Youssef Ben Abderrazik2026-10-18

📈 economics

The Influence of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) on Behavioural Intention to Use E-Wallet Applications in Bandung

This study applies the UTAUT2 model to reveal that hedonic motivation, facilitating conditions, and performance expectancy significantly drive the intention to use e-wallets in Bandung, with age acting as a key moderator that strengthens the influence of enjoyment while weakening the impact of habit.

Fithriya Zahra, Mohammad Benny Alexandri, Arry Bainus, Pratami Wulan Tresna2026-10-16

📈 economics

Time versus Money: How Maternity Leave Shapes Fertility Decisions and Child Development in China

This study combines an overlapping generations model with empirical evidence to demonstrate that maternity leave in China has an inverted U-shaped effect on fertility—peaking at 24.54 weeks—and enhances children's human capital through increased parent-child interaction, though excessive leave duration can ultimately hinder both outcomes due to negative income effects.

Tiantian Li, Yufei Liu, Wei Wang, Xirui Yang2026-10-16

📈 economics

Statistical Modeling and Forecasting of Key Demographic Trends in Uzbekistan

This paper presents an empirical study on Uzbekistan's demographic security that establishes threshold values for 23 key indicators, develops an econometric model to analyze population dynamics, and provides regionalized population forecasts up to 2030 alongside policy recommendations to ensure national stability.

Xamid Abduramanov, Lutfullo Ibragimov, Bobomurod Rabiyev, Sherzod Dusnayev, Olimjon Sherxolov, Bekzod Musayev, Muazzam S (…)2026-10-16

← Previous Next →