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Optimizing Temporal Business Opportunities

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  • Rola Y. M. Mohammed

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.

Suggested Citation

  • Rola Y. M. Mohammed, 2021. "Optimizing Temporal Business Opportunities," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(11), pages 104-104, July.
    • Handle: RePEc:ibn:ijbmjn:v:15:y:2021:i:11:p:104
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    References listed on IDEAS

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    1. Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
    2. D. A. Beis & P. Loucopoulos & Y. Pyrgiotis & K. G. Zografos, 2006. "PLATO Helps Athens Win Gold: Olympic Games Knowledge Modeling for Organizational Change and Resource Management," Interfaces, INFORMS, vol. 36(1), pages 26-42, February.
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    1. repec:bny:wpaper:0112 is not listed on IDEAS
    2. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2024. "Applying the root cause analysis methodology to study the lack of market success of micro gas turbine systems," Applied Energy, Elsevier, vol. 360(C).

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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