Results 191 to 200 of about 8,499 (249)

Do multinational enterprises from developed and emerging economies differ in their price discrimination strategies? Evidence from Africa

Strategic Management Journal, EarlyView.
Abstract Research Summary Do multinational enterprises from developed (DMNEs) and emerging (EMNEs) economies differ in their price discrimination strategies in Sub‐Saharan Africa? Using an abductive approach, we analyze novel data from laundry detergent markets in Cameroon, Ghana, and Ivory Coast, where frugal products are widely consumed. We find that,
Arzi Adbi, Ajay Bhaskarabhatla, Andrew Delios   +2 more
wiley   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Venture Capital Practices in Saudi Arabia: The Views of Investors

Thunderbird International Business Review, EarlyView.
ABSTRACT This study examines how venture capital (VC) investors in Saudi Arabia evaluate, negotiate, and support entrepreneurial ventures in a rapidly developing yet institutionally young setting. Drawing on 21 semi‐structured interviews with 24 investors, it offers rare insight into VC practices in the Middle East.
Tibah al‐Harbi, Renzo Cordina, David M. Power   +2 more
wiley   +1 more source

Technology‐Enabled Cross‐Border Entrepreneurship: The Role of Digital Platforms in SME Expansion Through the Lens of Institutional Theory

Thunderbird International Business Review, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley   +1 more source

Do Asian Companies Bid Higher in Cross‐Border M&A? A Moderating Effect Analysis

Thunderbird International Business Review, EarlyView.
ABSTRACT This study examines whether Asian companies pay higher premiums in cross‐border mergers and acquisitions (M&A) and identifies the institutional factors driving this behavior. Grounded in the concept of Asian institutional logic—characterized by state coordination, relational governance, and long‐term strategic orientation—we argue that these ...
Conrado Diego García‐Gómez, Jorge Bento Farinha, Ender Demir, José María Díez‐Esteban   +3 more
wiley   +1 more source

Experimental assessment of large mammal population estimates from airborne thermal videography

Wildlife Biology, EarlyView.
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny, Gregory D. Larsen, Maxwell Messinger, Chad H. Newbolt, Andrew Whitworth, Stephen S. Ditchkoff, Miles R. Silman, Jared T. Beaver   +7 more
wiley   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Reinforcement Learning With Timed Constraints for Robotics Motion Planning

Artificial Intelligence for Engineering, EarlyView.
This work presents a unified automata‐based reinforcement learning framework that enforces MITL time‐bounded task specifications in both MDPs and POMDPs. Results from grid‐world and office scenarios show robust policy learning under stochastic dynamics and partial observability.
Zhaoan Wang, Junchao Li, Mohammad Mahdi Dehghan Pir, Shaoping Xiao   +3 more
wiley   +1 more source

AGT: Efficient Offline Reinforcement Learning With Advantage‐Guided Transformer

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Offline reinforcement learning (RL) is a paradigm that seeks to train policies directly based on fixed datasets derived from previous interactions with the environment. However, offline RL faces critical challenges in environments characterised by sparse rewards and datasets dominated by suboptimal trajectories.
Jiaye Wei, Xin Xu, Yixing Lan, Tenglong Liu, Yueying Wang   +4 more
wiley   +1 more source