Results 301 to 310 of about 4,569,395 (350)

Algorithmic Management in Limbo: Task‐Driven Interweaving of Hierarchy and Market Management

Human Resource Management, EarlyView.
ABSTRACT The growing use of algorithmic management (AM) in human resource (HR) activities has attracted growing attention from HR scholars, as organizations increasingly rely on digital labor platforms to leverage external workers. This study examines how these platforms apply AM in human resource management (HRM) and how these algorithmic systems ...
Andrew Phillip Robinson, Mohammad Hossein Jarrahi, Anne Keegan, Jeroen Meijerink   +3 more
wiley   +1 more source

Star Advantage: Employee Value Creation and Capture in the Age of Artificial Intelligence

Human Resource Management, EarlyView.
ABSTRACT The integration of generative artificial intelligence (AI) into knowledge work is fundamentally reshaping employee performance and value creation in ways that challenge conventional wisdom. Rather than performance disparities being reduced through AI adoption, we argue that they may increase as star employees leverage superior domain expertise
Matthew L. Call, Kaifeng Jiang, Connor Idso   +2 more
wiley   +1 more source

Delivering precision oncology in metastatic breast cancer: Clinical impact of comprehensive genomic profiling—The CATCH experience

International Journal of Cancer, EarlyView.
What's New? CATCH is a prospective precision oncology registry trial that harnesses whole‐genome/exome‐ and RNA‐sequencing to enable actionable biomarker detection in metastatic breast cancer patients of any subtype. The data of the first 412 consecutive patients with completed follow‐up in this real‐world, single‐center patient cohort provide robust ...
Mario Hlevnjak, Sabine Heublein, Verena Thewes, Lukas Wagener, Constantin Pixberg, Carlo Fremd, Laura Michel, Christian Maurer, Lars Buschhorn, Nicola Dikow, Fangyoumin Feng, Stefan Fröhling, Christel Herold‐Mende, Steffen Hirsch, Chen Hong, Daniel Hübschmann, Lena Jassowicz, Polina Kozyulina, Katrin Pfütze, Richard F. Schlenk, Hans‐Peter Sinn, Katharina Smetanay, Christoph Springfeld, Albrecht Stenzinger, Celina Wagner, Stephan Wolf, Andreas Trumpp, Dirk Jäger, Oliver Zivanovic, Marc Zapatka, Andreas Schneeweiss, Peter Lichter   +31 more
wiley   +1 more source

A Multi Relational Graph-Based Approach for Stock Movement Prediction and Portfolio Optimization

Manali Patel, Shreya Goyal, Krupa Jariwala, Chiranjoy Chattopadhyay   +3 more
openalex   +1 more source

A Learning Model with Memory in the Financial Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh, Supun Chandrasena, Yue Shi, Abdullah Alhussaini, Claude Diebolt, Martin Enilov, Tapas Mishra   +6 more
wiley   +1 more source

ESG integration in portfolio optimization

Lucas Voltolini
openalex   +2 more sources

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

International Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan, Georgios Sermpinis   +4 more
wiley   +1 more source

Fused Portfolio Optimization for Harnessing Marine Renewable Energy Resources

Mary Maceda, Robert F. Miller, Victor Faria, Matthew Bryant, Chris Vermillion, Anderson Rodrigo de Queiroz   +5 more
openalex   +1 more source