1780 papers
This study demonstrates that applying Artificial Intelligence, particularly Artificial Neural Networks, to software programming enables businesses to optimize management decisions and maximize ROI by accurately forecasting sales performance and identifying optimal marketing budget thresholds.
This study reveals that while corporate palm oil sourcing portfolios have narrowed and concentrated on widely connected mills to improve individual oversight, this non-random restructuring may inadvertently shift excluded mills to less-scrutinized buyers, thereby limiting overall industry-wide sustainability gains.
This paper utilizes Cox proportional hazard models to demonstrate that liberal political and economic institutions significantly shorten the time required to eliminate malaria, thereby reducing morbidity and mortality.
This study employs a multi-phase qualitative approach involving literature review and expert consultation to develop and refine a preliminary multidimensional framework of brand purpose, identifying eleven distinct dimensions that capture both internal organizational manifestations and external stakeholder experiences to advance construct clarity and future scale development.
This paper finds that state paid family leave programs significantly influence early-career women's job sorting by increasing their entry into industries that previously lacked employer-provided paid leave, demonstrating that women value paid leave as a job amenity even before becoming mothers.
This paper employs synthetic control methods to demonstrate that China's 2020 Civil Procedure Case-Separation Reform successfully enhanced legal services in pilot cities without displacing neighboring regions, though the initial selective assignment of these pilots created a transitional spatial inequality that narrowed only after the reform became national law.
This paper proposes a framework for valuing user data based on machine-learning-derived predictive contributions rather than sensitivity labels, linking these economic values to differentiated privacy compensation that accounts for heterogeneous user risk preferences and diminishing marginal returns.
This paper presents a theoretical model arguing that artificial intelligence could create a "Productivity-Income Gap" by reducing labor's share of income in a way that outpaces aggregate consumption growth due to differing marginal propensities to consume, while clarifying that current data merely illustrates this pattern without proving causation and emphasizing that historical institutions may eventually—but not necessarily quickly—restore the balance.
Drawing on Dynamic Capability Theory and a sample of 320 agro-processing SMEs in Kumasi, Ghana, this study utilizes structural equation modeling to demonstrate that circular economy practices positively influence green entrepreneurship, a relationship that is further strengthened by entrepreneurial orientation.
This study utilizes NITI Aayog's 2026 Investment Friendliness Index framework to analyze sub-national disparities across 36 Indian jurisdictions, revealing that while governance metrics show convergence, significant structural gaps in infrastructure and business climate—particularly in Hilly and North-Eastern States—necessitate targeted spatial investments to achieve the Viksit Bharat 2047 vision.