6 research outputs found
Identifying critical dimensions for project success in R&D public sector using Delphi study and validation techniques
No full text© (2020) The Authors. Published by IEEE. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.1109/ACCESS.2021.3112112In the current century, organizations face ever increasing dynamic ecosystems and are constantly devising strategies to meet their challenges. These include the implementation of the right organizational structure and avoid project schedule delays to achieve projects’ success. Unfortunately, the classification of significant project success dimensions in the R&D public sector environment is still an elusive concept. This study adopts a multi-dimensional qualitative and quantitative approach to explore the critical dimensions of organizational structure and schedule management that enhance or hinder the project success in R&D of public sector organizations. In Phase 1, a Delphi Study is conducted, and results of reliability and other tests are the input of Phase 2. On the basis of these tests, variables have been selected for the next phase or final questionnaire. In Phase 2, through a survey of 285 responses in a public sector R&D environment, the proposed framework is validated by conducting face, content and construct validity. The results indicated that formalization, specialization, differentiation, coordination mechanism, decentralization and authority of managers have a significant effect on the schedule management and successful execution of R&D projects; whereas, centralization and departmentalization do not correlate strongly. The results also imply that decentralized organizational structures (organic) are more preferable than centralized structures (mechanistic) for the execution of R&D projects when proposed timelines are to be met timely. The proposed framework will act as a supporting mechanism for engineering managers to deal with organizational structure and schedule management factors in a highly uncertain R&D environment where projects deviate frequently from their anticipated timeline
The transfer of the Indian Bureau to the War Department
No full text45-2Indian AffairsTransfer of the Indian Bureau. [1822] From the Interior Dept. to the War Dept.; description of management of Indian affairs.1878-4
On feedback stabilization of nonlinear discrete-time state-delayed systems
No full textIn this paper, we consider the problem of feedback stabilization of discrete-time systems with delays. The systems under consideration are nonlinear and nonaffine. By using the Lyapunov Razumikhin approach, we deduce general conditions for stabilizing the closed-loop system. In addition, stabilizing state feedback control laws are proposed
sj-pdf-1-fao-10.1177_24730114241241318 – Supplemental material for Auditing the Representation of Female Athletes in Sports Medicine Research: Fifth-Metatarsal Fractures
No full textSupplemental material, sj-pdf-1-fao-10.1177_24730114241241318 for Auditing the Representation of Female Athletes in Sports Medicine Research: Fifth-Metatarsal Fractures by Peter Klug, Jacob Adams, Gordon Lents, Rachel Long, Ashley Herda, Bryan Vopat and Lisa Vopat in Foot & Ankle Orthopaedics</p
On Fresnel-Airy Equations, Fabry-Perot Resonances and Surface Electromagnetic Waves in Arbitrary Bianisotropic Metamaterials, including with Multi-Hyperbolic Fresnel Wave Surfaces
No full textWe introduce a theory of optical responses of bianisotropic layers with arbitrary effective medium parameters, which results in generalized Fresnel-Airy equations for reflection and transmission coefficients at all incidence directions and polarizations. The poles of these equations provide explicit expressions for the dispersion of Fabry-Perot resonances and surface electromatic waves in bianisotropic layers and interfaces. The existence conditions of these resonances are topologically related to the zeros of the high-k characteristic function h(k)=0 of bulk bianisotropic materials and Durach et al. taxonomy of bianisotropic media according to the hyperbolic topological classes [Applied Sciences, 10(3), 763 (2020); Optics Communications, 476, 126349 (2020)]
Identifying Critical Dimensions for Project Success in R&D Environment Using Delphi Study and Validation Techniques
No full textIn the current century, organizations face ever increasing dynamic ecosystems and are constantly devising strategies to meet their challenges. These include the implementation of the right organizational structure and avoid project schedule delays to achieve projects’ success. Unfortunately, the classification of significant project success dimensions in the R&D environment is still an elusive concept. This study adopts a multi-dimensional qualitative and quantitative approach to explore the critical dimensions of organizational structure and schedule management that enhance or hinder the project success in R&D organizations. In Phase 1, a Delphi Study is conducted, results of reliability and other tests are the input of Phase 2. On the basis of these tests, variables have been selected for the next phase or final questionnaire. In Phase 2, through a survey of 285 responses in a R&D environment, the proposed framework is validated by conducting face, content and construct validity. The results indicated that formalization, specialization, differentiation, coordination mechanism, decentralization and authority of managers have a significant effect on the schedule management and successful execution of R&D projects; whereas, centralization and departmentalization do not correlate strongly. The results also imply that decentralized organizational structures (organic) are more preferable than centralized structures (mechanistic) for the execution of R&D projects when proposed timelines are to be met timely. The proposed framework will act as a supporting mechanism for engineering managers to deal with organizational structure and schedule management factors in a highly uncertain R&D environment where projects deviate frequently from their anticipated timeline
