Results 181 to 190 of about 5,757 (274)

Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment. [PDF]

Sci Rep
Soman VK, Natarajan V.
europepmc   +1 more source

Goal Displacement and Goal Conflicts in Circular Innovation Initiatives: Types and Mitigation Practices

Business Strategy and the Environment, EarlyView.
ABSTRACT Many firms set ambitious sustainability goals but these are frequently “displaced” by proxy goals that are easier to track and measure. However, the specific types of goal conflicts that follow from this displacement are poorly understood. We conducted a case study of circular innovation initiatives at a global MedTech company and identified ...
Wiebke Reim, Johan Frishammar, Debadrita Panda   +2 more
wiley   +1 more source

A deep learning-driven multi-layered steganographic approach for enhanced data security. [PDF]

Sci Rep
Sanjalawe Y, Al-E'mari S, Fraihat S, Abualhaj M, Alzubi E.   +4 more
europepmc   +1 more source

Analyzing the Development of a Sustainable Enterprise in an Emerging Economy: Black Cacau and the Bean‐to‐Bar Philosophy

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines sustainable entrepreneurship (SE) in emerging economies through the case of Black Cacau, a Brazilian bean‐to‐bar enterprise integrating agroforestry, direct trade, and Afro‐Brazilian cultural empowerment. Adapting the Patagonia‐based framework of Allal‐Chérif et al., the study explores how SE operates under conditions of ...
Marcelo Dionisio
wiley   +1 more source

Integrating semantic and content features into bloom filters for efficient image retrieval. [PDF]

Sci Rep
Qamar AM, Khan RU, Alsuhaibani M, Alsuhibany SA.   +3 more
europepmc   +1 more source

Unveiling Bias: The Impact of Male Rape Myths and Stereotypes on Juror Verdicts in Male‐on‐Male Rape Trials

Behavioral Sciences &the Law, EarlyView.
ABSTRACT This study examined how male rape myths, racial/ethnicity biases, and sexuality stereotypes influence verdicts in male‐on‐male rape trials—an area that is currently under‐researched. A sample of 463 participants read a mock rape trial, where both the defendant and complainant were male, with defendant ethnicity (White, Black, Asian) and ...
Lee J. Curley, B. Kennath Widanaralalage, Dominic Willmott, Joanna Ermenkova   +3 more
wiley   +1 more source

Hiding scrambled text messages in speech signals using a lightweight hyperchaotic map and conditional LSB mechanism. [PDF]

PLoS One
Al Sibahee MA, Abduljabbar ZA, Luo C, Zhang J, Huang Y, Abduljaleel IQ, Ma J, Nyangaresi VO.   +7 more
europepmc   +1 more source

Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis

Journal of Consumer Behaviour, EarlyView.
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley   +1 more source

Deep Learning for Image Watermarking: A Comprehensive Review and Analysis of Techniques, Challenges, and Applications. [PDF]

Sensors (Basel)
Bistroń M, Żurada JM, Piotrowski Z.
europepmc   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee, Jinsu Park, Hye‐Young Kim, Divya Manoj   +3 more
wiley   +1 more source