Article Summary

Managerial Issues of a Networked Organization

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Managerial Issues of a Networked Organization

Article #1: Managerial decision support algorithm based on network analysis and big data.”

Based on this article, Managerial issues of an organization has been greatly supported by the information systems. It implies that, for a decision to be successfully implemented in a networked organization, it depends on the system’s ability to organize numerous data and properly acquire meaningful information like the content that is not known by the managerial department. A social network can be applied to enable the discovery of the condition of the signal’s supply through technical areas.

Therefore, a proper reconfiguration of links according to a network created to do out with the factors that can influence the process to build aspects enables the face creation. It makes it possible to generate steps to follow for the firm’s managerial aspects to be successfully implemented. Categorization of the information based on the non-obvious method and obvious method is a very helpful result from the study, which would yield a positive outcome in a firm by helping promote the managerial factors. Besides, analysis of specific subgraphs of a network within a network could be fruitful to help promote managerial issues, which may help the managerial department come up with suspected outcomes from the subgraphs.

In a nutshell, this analysis equips the firm with the ability to properly utilize the results with regards to present data, view, collect, and grade the acquired outcomes, and organize them tactfully to find out the unknown steps and procedures and this makes the work of managerial department easy, as they can easily arrive into useful steps (Polyakova, et al. 2019).

Article #3: “Organizational network analysis: A study of a university library from a network efficiency perspective.”

A public university library is often permitted for anyone who wants to study there. It is not confined to only learners, and users could apply traditional or electronic ways to reach the library. Such aspects facilitate competition between libraries, those requesting for several donations in either home or foreign markets. Management aspects of these libraries become a little bit cheap since handling digital information, and the communication system is key to improving the library, and this cannot work out when there is no additional finance. In other words, the library is known to be the backbone of improving the sector of education.

Now, since there is a lack of adequate and appropriate equipment for weighing a firm’s efficiency, the equipment used in the past is not in a position to reach the transition in the knowledge of a firm. Therefore, these factors leave managers with no option but to acquire advanced ways, even though the main remedies have not been properly implemented on network analysis. The article proposes that managers should ensure they handle the university library’s efficiency via correlation amongst the human nodes and non-human nodes. Besides, the article avails data for instilling knowledge to the librarians and has also proven the need for technical know-how in this section and a wide range of skills, resources, and operations to be handled in library activities.

Article #3: Distributed holistic framework for smart city infrastructures: tale of interdependent electrified transportation network and power grid.”

Based on this article, its remedies facilitates the cooperation of agents existing in the network-of-networks and provides a properly spread consensus+innovations method. It implies that the provided iterative algorithm enhances remedy to specific agents following local summations and flow of information with the nearing agents in a position to influence a person in that particular step. Besides, it posits that the exogenous information originating from the outside network can impact the work of other internal agents. The remedy for this article includes handling an iterative challenge, applying communication at the digital city segment as a connection for various aspects of the agents, enhancing the plug-and-play technique, and remedy for any adjustment that might be made in the future.

Besides, it provides a harnessed resolution on the propagated charge planning of the PEVs. Based on the degree of flexibility on PEVs’ charging requirement, they present themselves as remedies to better the workout of both transportation connections by directing their freedom to facilitate charging at every situation and power systems by releasing electricity requirement flexibility. In a nutshell, due to the increasing density of various remedies and numerous agents, the centralized procedures cannot be scaled. However, the spread remedies provide itself a better way towards the unified remedy, and it needs an improved system of communication to facilitate the transfer of information. A spread consensus+innovations set up for normal functioning of the correlating networks creates a path for future studies to put in action agent-based aspects while involving heterogeneous agents in the field of IoT (Amini, Mohammadi, & Kar, 2019).

 

 

 

 

 

 

 

References

Amini, M. H., Mohammadi, J., & Kar, S. (2019). A distributed holistic framework for smart city infrastructures: a tale of the interdependent electrified transportation network and the power grid. Ieee Access7, 157535-157554. Retrieved from: https://ieeexplore.ieee.org/iel7/6287639/8600701/08886346.pdf

Polyakova, A., Loginov, M., Strelnikov, E., & Usova, N. (2019). Managerial decision support algorithm based on network analysis and big data. International Journal of Civil Engineering and Technology10(2), 291-300.  Retrieved from: https://www.academia.edu/download/58581035/IJCIET_10_02_032.pdf

Polyakova, A., Loginov, M., Strelnikov, E., & Usova, N. (2019). Managerial decision support algorithm based on network analysis and big data. International Journal of Civil Engineering and Technology10(2), 291-300.  Retrieved from: https://www.academia.edu/download/58581035/IJCIET_10_02_032.pdf

 

 

 

 

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