Results 181 to 190 of about 2,772,078 (264)

Rethinking How We Theorize AI in Organization and Management: A Problematizing Review of Rationality and Anthropomorphism

Journal of Management Studies, EarlyView.
Abstract Artificial intelligence (AI) has long held the promise of imitating, replacing, or even surpassing human intelligence. Now that the abilities of AI systems have started to approach this initial aspiration, organization and management scholars face a challenge in how to theorize this technology, which potentially changes the way we view ...
Laavanya Ramaul, Paavo Ritala, Angelos Kostis, Päivi Aaltonen   +3 more
wiley   +1 more source

Inferring phase transitions and critical exponents from limited observations with thermodynamic maps. [PDF]

Proc Natl Acad Sci U S A
Herron L, Mondal K, Schneekloth JS, Tiwary P.   +3 more
europepmc   +1 more source

Examining the Effect of a Firm’s AI Specialization on the Technology Firms it Acquires: A Real Options Perspective

Journal of Management Studies, EarlyView.
Abstract The digital revolution is transforming global business practices. As organizations increasingly embed artificial intelligence (AI) within their operations, they face unprecedented uncertainty regarding future technological trajectories and competitive landscapes.
Chi Hon Li, Steven Boivie, Gerry McNamara, Pok Man Tang   +3 more
wiley   +1 more source

Adsorption and C-C bond cleavage of benzene on hematite α-Fe₂O₃ surfaces: a DFT mechanistic study. [PDF]

Sci Rep
Huang YM, Cheng YC.
europepmc   +1 more source

Strategic AI Orientation and Technological Innovation: Evidence From Managerial Insights and Panel Data

Journal of Product Innovation Management, EarlyView.
ABSTRACT Artificial intelligence (AI) is disrupting innovation. However, our understanding of firm‐level consequences remains limited. While firms are starting to develop a strategic AI orientation (i.e., goals and strategic directions), we neither know how firms establish a strategic AI orientation nor whether it suffices to increase firms ...
Ann‐Katrin Eicke, Christopher Albert Sabel, Stephan Nüesch   +2 more
wiley   +1 more source

Making the Old New Again Through the Process of Recombinant Innovation

Journal of Product Innovation Management, EarlyView.
ABSTRACT Academic Summary Recombinant innovation—the process through which atypical and unexpected combinations of knowledge generate novel outcomes—is a critical driver of organizational distinctiveness and market transformation. While prior research has focused on firm‐ and industry‐level mechanisms, less attention has been given to multilevel ...
Vittoria Magrelli, Josip Kotlar, Alfredo De Massis, Federico Frattini, Antonio Messeni Petruzzelli   +4 more
wiley   +1 more source

Baseline Characteristics of Weight-Loss Success in a Personalized Nutrition Intervention: A Secondary Analysis. [PDF]

Nutrients
Popp CJ, Wang C, Berube L, Curran M, Hu L, Pompeii ML, Barua S, Li H, St-Jules DE, Schoenthaler A, Segal E, Bergman M, Sevick MA.   +12 more
europepmc   +1 more source

Effect of a homemade diet compared to a commercial diet on glycaemic variability and glycaemic control assessed by continuous glucose monitoring system in diabetic dogs: a randomised crossover study

Journal of Small Animal Practice, EarlyView.
Objectives To evaluate the effects of a homemade diet and a commercial diet on glycaemic control and glycaemic variability of diabetic dogs monitored with the FreeStyle Libre continuous glucose monitoring system. Materials and Methods Prospective randomised crossover study including ten client‐owned diabetic dogs on insulin treatment with good ...
A. M. Tardo, C. G. Vecchiato, E. Gherlinzoni, A. Corsini, S. Corradini, F. Del Baldo, G. Biagi, F. Fracassi   +7 more
wiley   +1 more source

Estimation of Change Points for Non‐Linear (Auto‐)Regressive Processes Using Neural Network Functions

Journal of Time Series Analysis, EarlyView.
ABSTRACT In this paper, we propose a new test for the detection of a change in a non‐linear (auto‐)regressive time series as well as a corresponding estimator for the unknown time point of the change. To this end, we consider an at‐most‐one‐change model and approximate the unknown (auto‐)regression function by a neural network with one hidden layer. It
Claudia Kirch, Stefanie Schwaar
wiley   +1 more source

A Prospective Study of the Correlation Between Time in Range and Incidence of Diabetic Cardiovascular Autonomic Neuropathy in Patients with Type 2 Diabetes Mellitus. [PDF]

Diabetes Metab Syndr Obes
Shan X, Yao S, Hu B, Xu C, Cao Y, Dai W.
europepmc   +1 more source