The enhancement of programme management procedures is the aim of this study work. The method can help to cut down on nuances, repetition, and redundancies. In this regard, seven elements have been discussed in order to help the achievement of long-term management of a development programme. Therefore, the conceptual framework of the "CARROT-BUS" model was considered for carrying out this study. While BUS is seen as a bottom-up approach, CARROT, which stands for Capacity, Accountability, Resources, Results, Ownership, and Transparency, stresses environmental enabling. The framework of Abraham Maslow's hierarchy of needs may therefore be viewed as conceptually similar to this holistic and causal paradigm.
Showing posts with label hierarchical. Show all posts
Showing posts with label hierarchical. Show all posts
Saturday, 2 July 2022
Recent Study on Sustainable Program Management: Hierarchical Causal Systems | Chapter 2 | Research Developments in Arts and Social Studies Vol. 5
Finally, when conducting this research, secondary sources were carefully taken
into account. According to the research, sustainability is one of the key
characteristics that institutions all over the world uphold in order to achieve
anticipated and convincing results.
Author(s) Details:
Cybermatic International, 105-5700 Cavendish Blvd, Montréal, QC H4W 1S8,
Canada.
Please see the link here: https://stm.bookpi.org/RDASS-V5/article/view/7285
Friday, 19 March 2021
Recent Study on Optimal Distribution of N-Team Interacting Decision Makers with Hierarchical Command Inputs that are Predicated on Order Statistics | Chapter 3 | New Ideas Concerning Science and Technology Vol. 10
Oladejo's spectral analysis of a simulated N-team of interacting decision makers with bounded rationality constraints, which assumed a triangular probability density function of command input, is hereby restructured and analysed, resulting in hierarchical command inputs based on order statistics distributions. Optimal distributions are obtained as a consequence of the results. The obtained optimal distribution values can be used to calculate the model's system performance, which can then be used to monitor the system.
Author (s) DetailsM. O. Oladejo
Nigerian Defence Academy, Kaduna, Nigeria.
D. T. Chinyio
Nigerian Defence Academy, Kaduna, Nigeria.
C. O. Uwa
Nigerian Defence Academy, Kaduna, Nigeria.
View Book :- https://stm.bookpi.org/NICST-V10/article/view/585
Subscribe to:
Posts (Atom)