How the Threat of Knowledge Loss Drives Firms’ R&D Dynamism: A Threat Rigidity Perspective
Abstract Drawing on threat rigidity theory, this paper argues that the threat of knowledge loss gives rise to a threat rigidity effect in firms’ R&D function, that is, reduces their R&D dynamism. It further argues that the dampening of R&D dynamism is greater for firms more vulnerable to the threat of knowledge loss due to facing greater product market
Aman Asija, Dimo Ringov
wiley +1 more source
Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]
Mundada T, Ramdhave S, Jain S, Gupta S.
europepmc +1 more source
Dynamic capital allocation in general insurance
Abstract This paper provides a model for allocating capital to different insurance lines with varying development periods for a value‐maximizing insurance company. In our model, the company makes capitalization and exposure decisions considering its capital level and its relevant loss history.
Qiheng Guo +2 more
wiley +1 more source
A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms. [PDF]
Cao T +8 more
europepmc +1 more source
A joint model of cost and churn for the insurance industry
Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong +4 more
wiley +1 more source
A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm. [PDF]
Pian J, Chen X.
europepmc +1 more source
ABSTRACT The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a k‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity.
Jacopo Canello +3 more
wiley +1 more source
A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]
Li Y, Liu D.
europepmc +1 more source

