Despite the operational nature of enterprise system (ES) implementation and use, individual employees or work groups may deploy technology workarounds to circumvent inflexibility in or obstacles to using the ES. However, our understanding of the ...

We combine concepts from multilevel solvers for partial differential equations (PDEs) with neural network based deep learning and propose a new methodology for the efficient numerical solution of high-dimensional parametric PDEs. An in-depth theoretical ...

At many levels, from storage infrastructures to programming paradigms, billion-node graphs pose considerable obstacles. It is necessary to provide a general-purpose graph-processing platform. A distributed memory system is thought to be a viable ...

Multilevel optimization aims at reducing the cost of executing a target network-based algorithm by exploiting coarsened, i.e., reduced or simplified, versions of the network. There is a growing interest in multilevel algorithms in networked systems, ...

We integrate control theory and the information systems IS project management literature using a multilevel lens to theorize the cross-level effects of technical IS project risk on individual developer outcomes-performance and psychological stress-and ...

Nonsymmetric and highly indefinite linear systems can be quite difficult to solve by iterative methods. This paper combines ideas from the multilevel Schur low rank preconditioner developed by Y. Xi, R. Li, and Y. Saad [SIAM J. Matrix Anal., 37 (2016), pp. ...

We contribute to the shifting discourse in the literature on information system use, towards context-specific rather than general theories and effective use rather than just use. Organizations are under great pressure to use information systems ...

We use the case of a "whole-system" change program in a national healthcare system to empirically examine the multilevel dynamics underlying organizational adaptation. Our analysis demonstrates how the cognitive distance between agents' causal ...

Local mesh refinement significantly influences the performance of explicit time-stepping methods for numerical wave propagation. Local time-stepping (LTS) methods improve the efficiency by using smaller time steps precisely where the smallest mesh ...

A generic mathematical formulation for Systems-of-Systems SoS optimization problems is presented. SoS optimization problems resemble the structure of a tree of Multidisciplinary Design Optimization MDO problems with additional unique features. The ...

We consider the algebraic convergence theory that gives its theoretical foundations to classical algebraic multigrid methods. All the main results constitutive of the approach are properly extended to singular compatible systems, including the recent ...

This work embeds a multilevel Monte Carlo sampling strategy into the Monte Carlo step of the ensemble Kalman filter (EnKF) in the setting of finite dimensional signal evolution and noisy discrete-time observations. The signal dynamics is assumed to be ...

With the emergence of parallel computational infrastructures at low cost, reducing simulation time becomes again an issue of the research community in modeling and simulation. This paper presents a method to improve simulation time through handling the ...

The experience of simultaneously positive and negative orientations toward a person, goal, task, idea, and such appears to be quite common in organizations, but it is poorly understood. We develop a multilevel perspective on ambivalence in organizations ...

We introduce a parallel multilevel method for spectral Galerkin projected linear systems with uncertain parameters using Polynomial Chaos expansions. We utilize the hierarchical multilevel structure with respect to the polynomial degree and carry out ...

The increasing complexity of knowledge work and the concomitant use of teams to organize and accomplish such work are leading organizations to invest heavily in collaboration technologies. However, prior research suggests that the productivity gains ...

This paper introduces a parallel directional fast multipole method (FMM) for solving $N$-body problems with highly oscillatory kernels, with a focus on the Helmholtz kernel in three dimensions. This class of oscillatory kernels requires a more restrictive ...

We develop a multilevel approach to solving a blind deconvolution problem, with the ultimate intent of recovering signals which are known to have edges. First, we discuss how to generate a hierarchy of blind deconvolution problems by means of the Haar ...