Results 11 to 20 of about 164 (90)
Journal of Consumer Affairs, Volume 57, Issue 3, Page 1482-1522, Fall 2023., 2023 Abstract The authors review the marketing practices likely to make customers feel excluded (ignored or rejected) and analyze the potency of retail exclusion in the transforming service encounters due to the infusion of artificial intelligence (AI), robots, and other new technologies.
Fang‐Chi Lu, Jayati Sinha
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Environmentally sustainable development and use of artificial intelligence in health care
Bioethics, Volume 36, Issue 5, Page 547-555, June 2022., 2022 Abstract Artificial intelligence (AI) can transform health care by delivering medical services to underserved areas, while also filling gaps in health care provider availability. However, AI may also lead to patient harm due to fatal glitches in robotic surgery, bias in diagnosis, or dangerous recommendations. Despite concerns ethicists have identified
Cristina Richie
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Generativity: A systematic review and conceptual framework
International Journal of Management Reviews, Volume 24, Issue 2, Page 255-278, April 2022., 2022 Abstract The construct of generativity is increasingly adopted to describe system innovation in digital contexts. We systematically review this construct, investigating its antecedents, processes and outcomes in management studies. We draw on different theoretical perspectives to develop an integrative conceptual framework.
Llewellyn D. W. Thomas, Richard Tee
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Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping‐Based Exploration
Journal of Personality, Volume 94, Issue 3, Page 380-393, June 2026.ABSTRACT Objective The application of digital phenotyping in personality research leverages smartphone‐generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs), as it allows for the continuous, in situ collection of behavioral and contextual data.
Maya Hocherman +2 more
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LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Journal of Forensic Sciences, Volume 71, Issue 3, Page 1211-1223, May 2026.Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
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International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1371-1387, May 2026.ABSTRACT As a rapidly evolving sub‐field of computer‐assisted language learning, informal digital learning of English (IDLE) has become a significant catalyst for linguistic, affective, and pedagogical development among English as a second language (L2) learners.
Yue Zhang
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The role of CEO integrity in M&A decision‐making
Strategic Management Journal, Volume 47, Issue 1, Page 39-72, January 2026.Abstract Research Summary While the influence of CEO characteristics on M&A decisions has long spurred researchers’ interest, little attention has been devoted to the ramifications of CEO integrity—the adherence to generally accepted norms and standards.
Jan C. Hennig +2 more
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Cipher‐Guard: A Machine Learning Model for Adaptive and Context‐Aware Password Security
IET Information Security, Volume 2026, Issue 1, 2026.This research aims to enhance password security by designing, training and testing Cipher‐Guard, a machine learning (ML) algorithm that incorporates complex features and techniques derived from proven feature engineering. The current model is inherently built on the equations of mathematical modelling concerning complexity metrics of passwords and ...
Mohammed Naif Alatawi, Xueqin Liang
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European Journal of Neurology, Volume 32, Issue 12, December 2025.The association between detailed obesity measurements and peripheral neuropathy in persons with diabetes. aMRI, abdominal magnetic resonance imaging; UK, United Kingdom. ABSTRACT Background Obesity increases the risk of diabetic peripheral neuropathy (DPN). However, past studies have typically assessed obesity using anthropometric measurements.
Evan L. Reynolds +5 more
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The 4th Global Congress on Sickle Cell Disease Abstract Book 2022
, 2022 HemaSphere, Volume 6, Issue S4, Page 1-64, August 2022.
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