 Optimizing Temporal Business OpportunitiesRola Y. M. Mohammed International Journal of Business and Management, 2021, vol. 15, issue 11, 104 Abstract: The objective of this paper is to detail preliminary work revolving around modeling. It provides understanding and underpinning implementation procedures of dynamics of large-scale events with Hajj examples, where a large population of people is contained for a significantly long but limited period within certain areas. It is essential to note further that the motivation behind this subject’s discussion could also be fueled by sales, inquiries, or security concerns. However, knowledge emergence on service point procedures implementation suggests that service points implementing data are extinct, and this is obliged to implement the next feature. As such, there is a critical need to reform a process and how to analyze the work. Developing this literature report requires extensive use of factual data for accuracy; as such, data mining and simulation techniques will be essential in explaining what services are needed. The simulation techniques used herein incorporate several databases targeting to exploit the advantage of proficiency in predicting distribution demand for population points based on available current estimates. Henceforth, data mining, in this case, is used to inform intelligent decision making on investing in services points as pushed for by customers’ demand. Date: 2021 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijbmjn:v:15:y:2021:i:11:p:104 Access Statistics for this article More articles in International Journal of Business and Management from Canadian Center of Science and Education Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.