Results 161 to 170 of about 25,164,155 (279)

Corporate Social Responsibility and Firm Performance: Investigating the Role of Management Innovation Through Marketing Intensity

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT This study investigates the relationship between Corporate Social Responsibility (CSR) and firm performance using panel data from 716 Chinese firms listed on the Shanghai and Shenzhen Stock from 2013 to 2019. It further examines the role of management innovation, specifically marketing intensity, in moderating the CSR–financial performance ...
Freeman Brobbey Owusu   +4 more
wiley   +1 more source

Air sensitivity of GaSe 2D material and its potential implications on device reliability. [PDF]

open access: yesDiscov Nano
Neill H   +8 more
europepmc   +1 more source

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

open access: yesThunderbird 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   +3 more
wiley   +1 more source

Translation and Cross‐Cultural Adaptation of Sydney Swallow Questionnaire in Urdu and Its Psychometric Properties Among Post‐Stroke Dysphagia Patients

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives Self‐rating questionnaires provide a detailed overview of the symptomatic severity of post‐stroke dysphagia in the geriatric population; such assessment tools or the subjective evaluation of post‐stroke dysphagia are unavailable for Urdu‐speaking patients.
Syeda Amna Ejaz   +4 more
wiley   +1 more source

Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal   +4 more
wiley   +1 more source

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