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Faculty of Management Sciences

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Author: search.filters.author.Lourens, Melanie Elizabeth

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    Optimization of E-learning and performance using IOT and 6G Technology
    (Medknow Publications, 2022-11-15) Balamurugan, A.; Sureshkumar, S.; Srivani, Putta; Lourens, Melanie Elizabeth; Alsekai, Deema Mohammed
    The sixth-generation (6G) has stricter criteria for the online learning capability and high interpretability of taught algorithms. It is anticipated that machine learning would be crucial for making network effective and flexible, however the most promising technologies are frequently considered as secret elements because of their profound designs’ major areas of strength for and. To make AI calculations more reasonable to 6G-empowered web of things (IoT) organizations, the motivation behind this paper is to analyse their translations. This article presents two different ways for acquiring translations: the free technique and the Joint strategy. Probes numerous IoT network datasets exhibit that the recommended techniques produce unrivalled execution regarding the two clarifications and forecasts.
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    Methodology for strategic planning model to increase the profitability of a human resources outsourcing SME through the use of digital transformation
    (2022-08-15) Nethevathi, K.; Tivari, Shivangee; Mishra, Preeti; Lourens, Melanie Elizabeth; Yadav, Vinay Kumar; Srivastava, Sankalp; Painoli, Arun Kant; Muralidhar, L. B.; Antony, M.; Mohanta, Giridhari; Ram, Deo Karan
    During the research study, the first thing that we did was analyze the characteristics of the company and the environment in which it operated. After that, we analyzed the primary factors contributing to the issue to identify the approaches and resources that would be most useful in resolving the issue by addressing its underlying causes. Along with the Lean Service and Digital Transformation methodologies, the support strategy helped to eliminate the lack of process and procedure documentation, which was the cause that had the most significant impact on low income. The implementation of this strategy resulted in the clarification of the procedures followed by the company, a reduction in the amount of time needed to complete the process, and the removal of any bottlenecks that may have existed. The company's social media placement and sales volume increased as a result of the sales strategy, which, when combined with the Digital Marketing methodology and the Big Data tool, led to an increase in revenue from sales that was greater than expected in recent months. In conclusion, the after-sale service that was implemented as part of the resale strategy helped eradicate the problem of insufficient customer follow-up.
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    Strategic management accounting practices between developed and emerging economies using machine learning
    (2022-11-11) Almahairah, Mohammad Salameh; Saroha, Vinod Kumar; Asokan, Anju; Umaeswari, P.; Khan, Javed Akhtar; Lourens, Melanie Elizabeth
    Data's function is changing dramatically, but new technologies like machine learning (ML) is also transforming how we can handle and use the data (AI). Nearly astounding are the changes, their pace and scope, and how they affect practically every facet of daily life, including management accounting of course. In this purview, the term "data" refers to business data in its broadest definition. Computers can now learn from experience much like humans and decision-makers do thanks to machine learning (ML). ML and AI for the management accountants have occasionally been considered in the previous 5 to 10 years, despite the fact that these ideas have been applied for a long time in other company disciplines like banking and logistics. Due to the critical role that management accountants play in an organization's success; this study demonstrates the need for greater research on numerous developing technologies in a timely manner. To make more accurate forecasts and enhance reporting and decisionmaking, many firms must use business intelligence and analytics technologies, machine learning algorithms, and Journal of Pharmaceutical Negative Results ¦ Volume 13 ¦ Special Issue 9 ¦ 2022 6318 the Internet of Things. This study explores the effects of new technology on management accountants' abilities to lead business units to success in international marketplaces. It does so by examining, describing, analyzing, and summarizing some of that research.
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    The impact of training and development on employee performance and service delivery at a local municipality in South Africa
    (Business Perspectives, 2022-10-13) Nama, Khuselwa; Daweti, Baphiwe; Lourens, Melanie Elizabeth; Chikukwa, Tatenda
    There is a growing concern about the lack of skilled municipal employees who can deliver essential services to under-resourced local communities in South Africa. However, coaching and mentoring appear underutilized to train municipal employees to improve service delivery to local communities. The study aims to investigate whether coaching and mentoring could capacitate municipal employees whose performance appraisal reveals a lack of skills to provide essential services. A cross-sectional research design was adopted to conduct a survey. The target population comprised 265 municipal employees, and a stratified random sample of 115 employees completed a questionnaire. The employees held positions of general managers, general assistants, and administrators, with varied years of experience. Cronbach’s Alpha indicated an overall high 0.8 questionnaire reliability score. Using a quantitative method, responses from municipal employees were collected to examine their perceptions of the influence of training and development on employee performance and service delivery. Hypotheses were tested using the bivariant inferential statistical tests of correlation (r) and Chi-square (χ2 ). The results indicated that training and development were more likely to improve employee performance. Furthermore, the results showed that trained employees were more likely to improve service delivery. In particular, coaching and mentoring could be used to improve performance. Therefore, the study found that the municipality was not providing employees with relevant training and development to enable them to address poor service delivery. Finally, the study recommends that the municipality invests in training and development to enrich employees with new skills and knowledge to improve the quality of service delivery
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    Artificial intelligence–based neural network for the diagnosis of diabetes and COVID
    (Universidad Tecnica de Manabi, 2022-07-01) Roland, Gilbert; Kumar, Navin; Gururaj, Bharathi; Richa, Richa; Bobade, Sunil Devidas; Lourens, Melanie Elizabeth
    In many nations, the prevalence of diabetes is rising, and its impact on national health cannot be overlooked. Smart medicine is a medical concept in which technology is used to aid in disease detection and treatment. The objective of this study is to take a gander at the information and look at changed diabetic mellitus forecasting algorithms. According to rising dismalness as of late, the quantity of diabetic patients worldwide will arrive at 642 million out of 2040, suggesting that one out of each 10persons would be affected. This worrisome figure, without a question, demands immediate attention. AI has been applied to an assortment of aspects of clinical wellbeing as a result of its rapid progress. To predict diabetes mellitus in this review, we utilized a choice tree, an arbitrary timberland, and a neural organization.
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    A review of physiological signal processing via Machine Learning (ML) for personal stress detection
    (IEEE, 2022-04-28) Lourens, Melanie Elizabeth; Beram, Shehab Mohamed; Borah, Bidyut Bikash; Dube, Anand Prakash; Deka, Aniruddha; Tripathi, Vikas
    Personal stress is maintained and measured by Machine learning. The device which is wearable has been used for the monitoring of personal self stress and data collection. In this research, it has been talked about the factors by which the physiological signal of the stress has been assessed. On the other hand, different type of technology has been used for the detection of the personal stress such as Electrocardiography (ECG) and many other devices. The observation and difficulties has been seen in this research by using this device and the technology. Stress disorder or ailment is one of the most common ailments in all individuals around the world. Stress and anxiety can greatly influence the life, emotion, behavioural pattern and thinking attributes of individuals. It is important to address this issue sooner or later. Psychological signal processing through machine learning effectively assists to detect the stress disorder at an early stage. The general system often considers some variables to detect stress. They are electrocardiogram, galvanic response, heart rate, respiration and many other elements. The ML tend to use algorithms to compare and contrast data to fetch effective e results. The paper has also carried out a statistical analysis based on three variables to fetch a proper result that provided the study group to comprehend a better understanding of the scenario. The researchers have taken the 'percentage of stress rate' cases' are considered independent variables whereas 'usage of a machine learning system' is considered a dependant variable. The study group has fetched and collected numerous data related to these three variables to get a better understanding.
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    Circumstantial discussion on security and privacy protection using cloud computing technology
    (IEEE, 2022-04-28) Lourens, Melanie Elizabeth; Naureen, Ayesha; Guha, Shouvik Kumar; Ahamad, Shahanawaj; Dharamvir; Tripathi, Vikas
    Cloud computing is becoming a demanding technology due to its flexibility, sensibility and remote accessibility. Apart from these applications of cloud computing, privacy and security are two terms that pose a circumstantial discussion. Various authors have argued on this topic that cloud computing is more secure than other data sharing and storing methods. The conventional data storing system is a computer system or smartphone storage. The argument debate also states that cloud computing is vulnerable to enormous types of attacks which make it a more concerning technology. This current study has also tried to draw the circumstantial and controversial debate on the security and privacy system of cloud computing. Primary research has been conducted with 65 cloud computing experts to understand whether a cloud computing security technique is highly secure or not. An online survey has been conducted with them where they provided their opinions based on the security and privacy system of cloud computing. Findings showed that no particular technology is available which can provide maximum security. Although the respondents agreed that blockchain is a more secure cloud computing technology; however, the blockchain also has certain threats which need to be addressed. The study has found essential encryption systems that can be integrated to strengthen security; however, continuous improvement is required.
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    Investigation of auto emotional detection of health professionals based on bio information data analytics
    (IEEE, 2022-04-28) Kumar, Ashish; Lourens, Melanie Elizabeth; Tiwari, Nitin; Dass, Pranav; Kumar, M.V. Suresh; Abdullah, Khairul Hafezad
    Emotion detection is an important aspect in healthcare industries. Effective analysis of emotion detection helps in analyses patient's mental state, psychological state, disease progression rate etcetera. Emotion detection is also required for healthcare professionals (doctors and nurses). Automatic emotion detection is usually done with different technologies such as AI technology, multimodal system, pattern recognition, signal analysis, audio-visual analysis etcetera. The present research analyses the most effective technology for auto-emotion detection among all the technologies. The survey-based statistical analysis has been done in this research with 53 participants from different healthcare sectors of the United Kingdom. The data shows that AI-based multimodal system and Pattern recognition using Electrocardiogram and Electroencephalogram are the most effective technologies for automatic-emotion detection. The analysis also showed that emotion-detection is necessary for healthcare professionals and this analysis helps in enhancing patient's recovery rate by analysing their mental state.
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    Role of integrated artificial intelligence for knowledge creation and decision making for improving firm performance
    (IEEE, 2022-04-28) Panduro-Ramirez, Jeidy; Khurana, Shopita; Othman, Bestoon; Lourens, Melanie Elizabeth; Ruiz-Salazar, Jenny Maria; Almashaqbeh, Hashem Ali
    The present research shed light on the decision-making process of businesses based on integrated AI technology. The technology is very helpful in searching and gathering accurate business information which could further be used in the performance improvement of the business. Moreover, the research depicted several applications of AI technology and the percentage of companies that used such technologies in their business for the motive of performance improvement by achieving all their predetermined objectives of the business.
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    The critical role played by big data management in effectively addressing the security and overall privacy concerns through correlation analysis
    (IEEE, 2022-04-28) Ahamad, Shahanawaj; Roshan, Amit; Lourens, Melanie Elizabeth; Shekher, Vineet; Joshi, Kapil; Alanya-Beltran, Joel
    Due to the widespread application of big data in a wide range of fields, there has been a significant rise in a diverse range of data assets, and numerous data analysis technologies, such as standardized data mining or quantitative analytical techniques, are speeding up the constant enlargement of the big data industry. The fact that information from several different resources has a life cycle from acquisition to disposal is a key property of big data, as is the fact that new information may be obtained via analysis, combining, and exploitation of existing data. Yet, information security & dependability challenges arise at every stage of the life cycle, rendering the protection of individually identifying data a vital goal throughout the whole process. It is possible to evaluate user behavior using different big data analytics techniques, and the collection of this information results in the violation of personal privacy. This study analyses dangers and security challenges that arise during the administration of large amounts of data by verifying the existing standards produced by international standardization bodies and doing an analysis of relevant research.