Results 71 to 80 of about 4,438 (260)

Talent Management in SMEs: Unraveling the Role of Contextual Factors

Human Resource Development Quarterly, EarlyView.
ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni, Caterina Muzzi, Martina Gianecchini   +2 more
wiley   +1 more source

Analysis of customer reviews with an improved VADER lexicon classifier

Journal of Big Data
Background The importance of customer reviews in determining satisfaction has significantly increased in the digital marketplace. Using sentiment analysis in customer reviews has immense potential but encounters challenges owing to domain heterogeneity ...
Kousik Barik, Sanjay Misra
doaj   +1 more source

Between Consistency and Adaptation: How Middle Managers Shape Compensation System Implementation

Human Resource Management, EarlyView.
ABSTRACT The success of a human resource management (HRM) system or subsystem, such as a compensation system, hinges on its implementation—yet the microfoundations of this process remain underexplored. To address this gap, we conducted two studies. Study 1 surveyed middle managers and employees in six organizations to examine their attributions of ...
Aino Tenhiälä, Sven Kepes, Saku Mantere, Johanna Maaniemi   +3 more
wiley   +1 more source

The Disquiet of Quiet Quitting: Definitional Clarity, Theoretical Pathways, and Future Research

Human Resource Management, EarlyView.
ABSTRACT Quiet quitting (QQ) has emerged as a prominent topic in both popular press and academic research, reflecting shifts in employees' engagement, effort allocation, and responses to contemporary work pressures. This review synthesizes findings from 11 papers published in a recent Special Issue on The Disquiet of Quiet Quitting.
Solon Magrizos, Lauren E. Aydinliyim, Dorothea Roumpi, Caitlin M. Porter, Jean M. Phillips, John E. Delery   +5 more
wiley   +1 more source

When Technology Meets Turbulence: The Impact of Digital Transformation and Policy Uncertainty on Audit Opinions

Journal of Corporate Accounting &Finance, EarlyView.
ABSTRACT This study investigates how Corporate Digital Transformation (CDT) influences audit opinions in Chinese A‐share‐listed non‐financial firms from 2011 to 2022, with a focus on the moderating role of Economic Policy Uncertainty (EPU). Results reveal an inverted U‐shaped relationship: moderate levels of CDT enhance audit outcomes through improved ...
He Min, Sultan Sikandar Mirza, Chengming Huang   +2 more
wiley   +1 more source

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund, Susanne S. Rauh, Mami Iima, Christian Federau, Diego Hernando, Oscar Jalnefjord, Jacobus F. A. Jansen, Jonas Jasse, Neil Peter Jerome, Misha P. T. Kaandorp, Sila Kurugol, Frederik B. Laun, Mira M. Liu, Alexandra Ljimani, Thoralf Niendorf, David A. Reiter, Mohammed Salman Shazeeb, Amita Shukla‐Dave, Julia Stabinska, Andreas Wetscherek, Peter T. While, Dan Wu, Denis Le Bihan, Oliver J. Gurney‐Champion   +23 more
wiley   +1 more source

From words to returns: sentiment analysis of Japanese 10-K reports using advanced large language models [PDF]

PeerJ Computer Science
The advent of advanced natural language processing techniques and large language models (LLMs) has revolutionized the analysis of qualitative financial data.
Katsuhiko Okada, Moe Nakasuji, Yasutomo Tsukioka, Takahiro Yamasaki   +3 more
doaj   +2 more sources

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

GENERATING A MALAY SENTIMENT LEXICON BASED ON WORDNET

Asia-Pacific Journal of Information Technology and Multimedia, 2017
Sentiment lexicon is a list of vocabularies that consists of positive and negative words. In opinion mining, sentiment lexicon is one of the important source in text polarity classification task in sentiment analysis model.
Nur Sharmini Alexander, Nazlia Omar
doaj   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

Journal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz, Kyriaki Fousiani, Susanne Scheibe, Raphael Eppler‐Hattab   +3 more
wiley   +1 more source