Results 81 to 90 of about 32,493 (248)

No more bets: Enhancing risk-driven response through artificial intelligence

Journal of Innovation & Knowledge
As firms increasingly integrate AI into daily operations, managerial decision-making is significantly enhanced. Within the Stimuli-Organism-Response (SOR) framework, this study leverages AI to develop a decision-making paradigm that improves managerial ...
Shuang Wang, Xueqing Zhang, Wei Xu, Jinlin Xu, Yudong Yao   +4 more
doaj   +1 more source

U.S. Consumers Sometimes Prefer Seemingly Redundant Labels

Agribusiness, EarlyView.
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk, Brenna Ellison, Trey Malone   +2 more
wiley   +1 more source

Video and Text‐Based Supplemental Health Information and Consumer Willingness to Pay for Nutrient‐Enhanced Eggs

Agribusiness, EarlyView.
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor, Michael J. Best, Anita R. Best, Ondulla T. Toomer   +3 more
wiley   +1 more source

Artificial Intelligence in Managerial Decision-Making for Sustainable Business Models: A Systematic Literature Review

Systems
Managerial decision-making is a core component of business management and plays a particularly critical role in Sustainable Business Models (SBMs), where it supports long-term competitiveness, adaptability, and positive environmental and social impact ...
Michal Urbanovič, Martin Holubčík
doaj   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Too Complex to Choose? The Role of Heuristics in Shaping Farmers' Willingness to Pay for Income Stabilization Tool in Italy

Agribusiness, EarlyView.
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto, Ruggiero Rippo, Samuele Trestini, Elisa Giampietri, Roberta Raffaelli, Simone Cerroni   +5 more
wiley   +1 more source

Predicting Employee Attrition: XAI-Powered Models for Managerial Decision-Making

Systems
Background: Employee turnover poses a multi-faceted challenge to organizations by undermining productivity, morale, and financial stability while rendering recruitment, onboarding, and training investments wasteful.
İrem Tanyıldızı Baydili, Burak Tasci
doaj   +1 more source