American Journal of Business and Operations Research

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2692-2967ISSN (Online) 2770-0216ISSN (Print)

An Innovative Additive Mathematical Model Using Auxiliary Information

Tanveer A. Tarray , Javid Gani Dar , Ishfaq S. Ahmad

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

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Vol. 6 Issue. 2 PP. 08-15, (2022)

Business Intelligence for Risk Management: A Review

Abdelaziz Darwiesh , A.H. El-Baz , A.M.K. Tarabia , Mohamed Elhoseny

This paper provides a quick review about business intelligence approaches and techniques in risk management. The important research articles from 2007 to 2021 are involved in this review. We found a little contribution from researchers in this research direction, however the vital role of business intelligence in risk management. Moreover, we provide a novel business approach for risk management.  This approach includes deploying the trendiest techniques in this era which are social media and big data analysis. Social media represents the source of identifying risks through the discussions of social media users as well as big data analysis techniques which represent the control tool for potential risks. The new approach will help firms and organizations in many sectors to manage risks efficiently and make the best decisions. Further, we provide the challenges of the new framework and the further research points. 

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Vol. 6 Issue. 2 PP. 16-27, (2022)

Neutrosophic Multicriteria Methods for the Selection of Sustainable Alternative Materials in Concrete Design

Jesus Estupiñan Rcardo , Maikel Leyva Vázquez

Increased awareness of the environmental impacts associated with excessive carbon dioxide emissions generated from cement production has led to great strides in developing technologies and materials aimed at reducing such impacts. A large amount of work has been carried out worldwide related to the design of more sustainable concrete mixes that take advantage of natural elements or those recovered from waste. This work analyzes a set of alternatives for substitutes of concrete mix aggregates that guarantee the best levels of resistance to compression and also comply with the principles of environmental sustainability. To do this, the TOPSIS multi-criteria decision method is used to determine the preferred substitute alternative for aggregates based on certain criteria. The analysis carried out using the TOPSIS method revealed that the alternative with the highest level of proximity to the ideal solution was the use of recycled glass as an additive to the concrete mix. It was observed that the specialists considered the environmental impact and the resistance and durability of the resulting concrete as the most important criteria to assess. A qualitative comparison of the alternatives resulting from the analysis was carried out to verify the results achieved by the method used.

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Vol. 6 Issue. 2 PP. 28-38, (2022)

Stock Closing Price Prediction of ISX-listed Industrial Companies Using Artificial Neural Networks

Salim Sallal Al-Hasnawi , Laith Haleem Al-Hchemi

Making stock investment decisions is a complex challenge that investors continuously face. When it comes to an uncertain future, making the wrong decision can result in massive losses. The paper aims to develop an artificial neural networks-based model predicting the closing price of top-six traded industrial ISX-listed stocks, which can guide investment decisions. The sample consisted of daily indexes ISX-released from (3/3/2019) to (31/3/2019). Matlab 2014b was used to run artificial neural networks using the nntool software. The model's performance was evaluated using Mean squared error (MSE), Root means squared error (RMSE), and R squared. Empirical results demonstrated the ability and efficiency of artificial neural networks to predict closing prices with high accuracy. As a result, we recommended employing the Artificial Neural Networks model to predict stock prices as well as relying on it to make decisions.

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Vol. 6 Issue. 2 PP. 47-55, (2022)

Fad Diet vs. Balanced Diet in Adults Living in Islamabad

Raja Habib , Asra Touqir , Irsa Sajjad

Adults have a variety of experiences with social pressure to have low weight. Thus, there is a desire to lose weight with a variety of efforts, such as fad diets. This type of diet can lead to insufficient intake of nutrients in the body and increase the risk of health problems in the long run. The research aimed to analyze fad diets, BMI, and activity levels of adults in Islamabad. The research design was cross-sectional in 50 adults aged 19–58 years who were selected by simple random sampling. The data of fad diets used in the questionnaire, BMI data using the calculation of the last body weight and height, and activity level were measured using food frequency questionnaire. Data analysis used the chi-square test. The results of this research showed that most respondents implement fad diets (56%), had normal BMI (60%), had fairly activity levels (32%), while overweight BMI (34%), and obese (4%) of BMI, and had moderate and inactive activity level (26%). There was an insignificant (p =.085) correlation between fad diets and age (r = -.232), and in addition, there was an insignificant correlation (p =.171) between fad diets and BMI (r =.013). It is concluded that the adults who implemented fad diets and below normal tended to not have activity levels of BMI because of improper food selection and psychological factors. Adults are expected to be able to conduct weight loss with the assistance of a nutritionist or in accordance with balanced nutrition guidelines.

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Vol. 6 Issue. 2 PP. 56-62, (2022)

Trends in The Intake oF Food Groups Among Different Age Groups

Irsa Sajjad , Wareesha Khan , Raja Habib

Although there has been a vast increase in nutritional knowledge, a healthy dietary pattern is still established due to a lack of knowledge, availability, and accessibility. Even if vegetables are consumed higher percentage of starchy vegetables is consumed hence a balanced and adequate diet is still not followed. This research collected data from different cities of Pakistan via a questionnaire which was filled both face to face as well as online. The sample size was 60 with 10 people from each group. Data was collected majorly in form of a food frequency questionnaire and then percentages and frequencies were calculated for all food groups. In age groups 3-12 years there was a higher consumption of beverages both hot and sweet and nuts and seeds were consumed in higher amounts. On the other hand, the age group 13-18 consumed more fruits and vegetables. Similarly, when moving to age 19-25 and 26-40 there is a higher consumption of milk and milk products. Cereals are consumed most by adults of age 41-60 years and 60+ leaned more towards sweets and snacks. Women tend to consume a more calorie-dense diet than men. Also, children and older adults rely more on sweets and snacks rather than fruits, vegetables, and other nutrient-dense foods.

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Vol. 6 Issue. 2 PP. 39-47, (2022)