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All Journal International Journal of Multidisciplinary: Applied Business and Education Research Interdisciplinary Social Studies
Mohammad Faisal, Syed
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences

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Overview of the ARIMA Model Average Crude Oil Price Forecast and its Implications on the Indian Economy Post-Liberalization Mohammad Faisal, Syed
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 2 No. 2 (2021): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.02.02.06

Abstract

The crude oil markets have seen unpredictability over petroleum markets' good and bad times worldwide in the past few years. Various facets of the natural energy industry discuss in this research paper. The effect of the Indian ecosystem in determining oil demand and supply is vital to understand price fluctuations. Researchers in this research paper concentrates on the ARIMA model and other regression models used in the post-1991 LPG reforms to determine crude petroleum values and their primary effect on the Indian ecosystem (GDP) through time-series data from 1991 to 2019. The ARIMA model is further evidence of the validation of datasets and the potential trend in the show of global oil rates. The uncouth oil historical values prophesy the potential movement from crude oil prices, and the recommended model-based fallouts are compelling and honest. Before applying the normality of data and unit-roots, the ARIMA model thoroughly checks at the level. If stationary is not detected, then unit-roots are suspended. The first step is to keep residuals static at the required level of significance to provide efficient forecasting using the ARIMA model used for this analysis.
Assessment of Professed Service Quality of the Cafeteria Business: An Empirical Investigation Akmal, Syed Mohammad; Hashmi, Abdul Razzak; Mohammad Faisal, Syed; Khan, Ahmad Khalid
Interdisciplinary Social Studies Vol. 2 No. 4 (2023): Regular Issue
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v2i4.328

Abstract

Background: It is important to note that coffee is a phenomenon that has been around for a while in Saudi Arabia. Arabica coffee cultivation on thin basins and bordering mountain slants at elevations ranging from 1200 m to 1800 m in Yemen and Saudi Arabia can be traced back four or five centuries. Aim: The researchers aimed to investigate the factors that have influenced the cafeteria's service quality and compare the effects of the determinants on cafeteria customers in the Saudi Arabian cities of Al Baha and Riyadh. Method: The cafeteria and coffee have been the primary sources of information for the study, which uses SERVQUAL to investigate the causes of perceived facility and eminence in the cafe. An online questionnaire was used to poll a total of 178 respondents. The survey includes 169 respondents who responded most efficiently after applying the pilot study, which let go of irrelevant responses. The analysis through Confirmatory Factor Analysis (CFA) identifies the compelling aspects of the cafeteria in Al Baha and Riyadh, Saudi Arabia, which is ideal for the sector's future strategies. Findings: The study's findings show that three factors significantly impact service quality, performance, convenience, and problem-solving. The other three were unimportant but still hold their importance in this research paper and can be used as sub-independent factors. The culture and habits of Saudi Arabia play a substantial part in the results' anomaly.
Co-Authors Akmal, Syed Mohammad Hashmi, Abdul Razzak Khan, Ahmad Khalid