The Impact of Organizational Structure Characteristic on Administrative Communication Efficiency: Evidence from Telecommunication Companies in Jordan
Studies in Computational Intelligence, ISSN: 1860-9503, Vol: 1056, Page: 887-901
2023
- 1Citations
- 9Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
The major aim of the study was to examine the impact of organizational structure characteristic on administrative communication efficiency. Therefore, it focused on telecommunication companies operating in Jordan. Data were primarily gathered through self-reported questionnaires creating by Google Forms which were distributed to a purposive sample of managers at different levels via email. Structural equation modeling (SEM) was used to test hypotheses. The study results showed that organizational structure characteristic has a positive impact on administrative communication efficiency. Based on the results of the study, the researchers recommend managers and decision makers to pay more attention to the dimensions related to the characteristics of the organizational structure (specialization and flexibility) that will affect the enhancement of the level of effectiveness of administrative communication.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85153060431&origin=inward; http://dx.doi.org/10.1007/978-3-031-12382-5_47; https://link.springer.com/10.1007/978-3-031-12382-5_47; https://dx.doi.org/10.1007/978-3-031-12382-5_47; https://link.springer.com/chapter/10.1007/978-3-031-12382-5_47
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know