International Journal of Management and Data Analytics

Diversity Perceptions in the UK Retail Industry: A Case of Tesco

Walid Ahmed, Asim Majeed, Ayesha Asim — Fri, 31 Mar 2023 00:00:00 +0000

It can be argued that with exponential technological changes like the emergence of artificial intelligence, machine learning, the internet of things (IoT), etc. retailers around the world are facing continuous challenges in keeping their business model updated and relevant for sustainable business growth and profitability. This study investigates whether diversity in the workforce plays a significant role in sustaining an organization. A survey was conducted to gauge the perceptions of employees in one of the UK’s leading retailers - Tesco, and what they thought of a heterogenous workforce on its impact on creativity, innovation, team cohesiveness, and branding of an organization’s image. While the majority agree that diversity in the workforce significantly improves the work culture and customer service, a reasonable minority feel otherwise. The findings of this research can be beneficial to students trying to understand the impact of Inclusion, Diversity, and Equity on organizations, employees in the retail industries, government, and other private industry stakeholders.

Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods

M. Hafidz Ariansyah, Sri Winarno — Fri, 31 Mar 2023 00:00:00 +0000

Hypertension is a primary factor in diseases such as stroke, heart failure, myocardial infarction, atrial fibrillation, peripheral arterial disease, and aortic dissection. Early detection of hypertension from medical history is very urgent for the first treatment of patients so that the patient's life expectancy increases, increases the effectiveness of treatment, reduces treatment costs, and reduces the severity of hypertension. Researchers get detection results using a branch of AI technology, namely machine learning to find new knowledge from data and find patterns to make diagnoses. Researchers use machine learning that can explore large amounts of data sets to produce knowledge that is beneficial to science. In this paper, the researchers used the Passive-Aggressive algorithm and the PA-I and PA-II methods to make a model for the diagnosis of hypertension. This algorithm can work well for learning by transforming data and dealing with unbalanced classification problems. PA-I shows stable accuracy of test data with a value of 80.3 - 84.15%, and PA-II shows accuracy instability with a value of 71.41 - 82.41%. From these results, PA-I shows that the model is good in diagnosing hypertension patients because its accuracy is stable and high enough. The results also show that the model is not overfitting, and the new data can be predicted well in line with the training data because, on the results of training accuracy, PA-I shows an accuracy of 81.6 - 84.56% while PA-II shows an accuracy of 71.6 - 82.71%.

Broken Naira: A Study of the Impact of Exchange Rates Movement in Nigeria

Andrew Pinnock, Asim Majeed, Paul Bocij, Said Baadel — Fri, 31 Mar 2023 00:00:00 +0000

Multinational Corporations involved in international business operations are exposed to movement in the exchange rate. The purpose of this study is to identify the factors that are responsible for exchange rate movements and to assess the impact they have on such organizations using the Nigerian market as a case study. A quantitative research approach and a descriptive ex-post facto research strategy were adopted for this study. During a span of ten years, a sample of exporting and non-exporting sector companies listed in the Nigerian stock exchange are analyzed. The findings revealed that the manufacturing company showed a high level of sensitivity with the movement in the exchange rate to the returns from the firm compared to the non-manufacturing company, and the correlation analysis indicated the inflation and debt levels to be key factors. The results from the study have revealed a significant relationship between some systematic factors and exchange rate movement which can be useful to multinational corporations, government entities, and other key international business stakeholders in Nigeria.