Industrial Management: Recent submissions

Now showing items 1-20 of 68

Staphylococcus edaphicus KCB02A11 incorporated with natural adsorbents: first report on its tolerance and removal of hexavalent chromium [Cr(VI)]

Aththanayake, A. M. K. C. B.; Rathnayake., I. V. N.; Deeyamulla, M. P.; Megharaj, Mallavarapu (Springer Link, 2024)

Deteriorating the quality of different parts of the ecosystem due to toxic metals is a serious global issue. Hexavalent chromium is a metal that can cause adverse effects on all living beings, including plants, animals, ...
Impact of IoT Integration on Enterprise Resource Planning (ERP) Systems: A Comprehensive Literature Analysis

Wijesinghe, Shalani; Nanayakkara, Imasha; Pathirana, Rashmi; Wickramarachchi, Ruwan; Fernando, Ishenka (Institute of Electrical and Electronics Engineers (IEEE), 2024)

The integration of Internet of Things (IoT) technology with Enterprise Resource Planning (ERP) systems has gained significant attention in recent years. This research study aims to provide a comprehensive analysis of the ...
Impact of AI-based predictive analytics on demand forecasting in ERP systems: A Systematic Literature Review

Fathima, Fazaal; Inparaj, Rishani; Thuvarakan, Dushyanthan; Wickramarachchi, Ruwan; Fernando, Ishenka (Institute of Electrical and Electronics Engineers (IEEE), 2024)

Artificial intelligence (AI) has revolutionized demand forecasting within Enterprise Resource Planning (ERP) systems, offering a powerful tool to enhance accuracy and efficiency in predicting future demand patterns. This ...
Factors Influencing the Adoption of Agile Project Management Methodologies by Engineering Teams in the Telecommunications Industry

Dilhara, Thamindu; Jayasinghe, Shan; Fernando, Ishenka (Institute of Electrical and Electronics Engineers (IEEE), 2024)

This study explores the dynamic landscape of Sri Lanka’s telecommunications industry, specifically examining the correlation between engineering teams and the adoption of agile project management methodologies. With the ...
Antecedents Of Driving Customer Purchase Intention Via AI Based Customer Engagement Strategies In The Post Pandemic Era

Hensman, Sheramy; Jayasinghe, Shan; Fernando, Ishenka (Institute of Electrical and Electronics Engineers (IEEE), 2024)

This study explores the antecedents that affect customer purchase intention in the post-pandemic era, specifically through AI (Artificial Intelligence) based customer engagement strategies. By analyzing a sample size of ...
Analyzing the Impact of Student Engagement on Learning Outcomes in E-learning Platforms: Case on Programming Language Courses

Lakshani, Erandika; Wijayanayake, Janaka; Prasadika, Jinendri (Institute of Electrical and Electronics Engineers (IEEE), 2024)

This study explores how students engage with e-learning platforms and how it relates to their academic success, focusing on programming language learning among Information Technology (IT) undergraduates in Sri Lanka. This ...
Drivers of Actual Usage of Building Information Modelling Tools by Civil Engineering Professionals in Construction Industry of Sri Lanka

Fathima, Fazaal; Jayasinghe, Shan; Prasadika, Jinendri; Wijerathna, Sujith (Institute of Electrical and Electronics Engineers (IEEE), 2024)

The construction industry in Sri Lanka is a key driver of the country’s economy, contributing significantly to GDP, employment, and infrastructure development. However, the industry faces challenges due to outdated design ...
Determinants of Employee Engagement in the Post-Pandemic Working-from-Home Contexts: Evidence from the Sri Lankan Software Industry

Thasipan, Rajagopal; Jayasinghe, Shan; Prasadika, A. P. K. J.; Wijerathna, Sujith Kasun (Institute of Electrical and Electronics Engineers (IEEE), 2024)

This study explores the dynamic landscape of employee engagement within the Sri Lankan Software Industry amid the post-pandemic surge in remote work. Recognizing the unique challenges and opportunities of this transition, ...
Assessment of Human Emotional Responses to AI–Composed Music: A Systematic Literature Review

Fernando, Poorna; Mahanama, Thilini V.; Wickramasinghe, Manya (Institute of Electrical and Electronics Engineers (IEEE), 2024)

In the world of musical creation, the integration of artificial intelligence (AI) represents a significant paradigm shift in emotional engagement. This research investigates the human emotional responses evoked when listening ...
Stream Count Predictive Analysis for Upcoming Songs on Spotify using Machine Learning: A Systematic Literature Review

Ranidu, M.G. Yoshitha; Mahanama, Thilini V.; Wijenarayana, Sankini (Institute of Electrical and Electronics Engineers (IEEE), 2024)

In the era of evolving music consumption, this systematic literature review researches the realm of predictive analytics for music streaming, specifically targeting Spotify's stream count prediction in Sri Lanka through ...
Challenges Affecting the Successful Adoption of DevOps Practices: A Systematic Literature Review

Nayanajith, Akalanka; Wickramarachchi, Ruwan (Institute of Electrical and Electronics Engineers (IEEE), 2024)

Contemporary business organizations are increasingly turning to IT-related tools, particularly software, to enhance the efficiency of their operational processes. As a result, time to deliver to market and the quality of ...
Introducing Spin‑coated ZnO Anti‑reflection Coating for CdS/CdTe Solar Cells

Wijesingha, J. R.; Gajanayake, G. K. U. P.; Wickramasinghe, W. A. V. U.; Damayanthi, R. M. T.; De Silva, G. I. P.; De Silva, D. S. M. (The Minerals, Metals & Materials Society, 2024)

Second-generation solar cells, commonly known as thin-film solar cells, have emerged as promising alternatives to traditional silicon-based first-generation photovoltaic cells. The superstrate configuration is the most ...
Predicting the Severity of Tornado Events by Learning a Statistical Manifold for Tornado Property Losses

Mahanama, Thilini; Paranamana, Pushpi; Volchenkov, Dimitri (Journal of Environmental Accounting and Management, 2023)

We examine the relationship between property losses caused by tornadoes and their physical parameters, namely the tornado path length and width, using data reported by the National Oceanic and Atmospheric Administration ...
Factors Affecting the Effectiveness of Generative Artificial Intelligence Apps on University Students' Programming Language Learning in Sri Lanka: A Systematic Literature Review

Perera, K. G. D. K.; Wijayanayake, J.; Prasadika, J. (Institute of Electrical and Electronics Engineers (IEEE), 2024)

In today's era, technology has become pervasive worldwide, significantly facilitating access to learning resources. Notably, the emergence of Generative Artificial Intelligence (AI) has garnered rapid attention and interest ...
Strategizing Inventory Write-Off Process in Sri Lankan Apparel Sector: A Systematic Literature Review

Senanayake, T. E.; Mahanama, T. V.; Prasadika, J. (Institute of Electrical and Electronics Engineers (IEEE), 2024)

The write-off process in the apparel industry is the disposal of excess inventory raw materials to optimize the inventory. The apparel industry in Sri Lanka faces significant challenges in optimizing inventory write-off ...
FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI

Senanayake, J.; Kalutarage, H.; Petrovski, A.; Al-Kadri, M.O.; Piras, L. (Springer, Cham, 2024)

Adhering to security best practices during the development of Android applications is of paramount importance due to the high prevalence of apps released without proper security measures. While automated tools can be ...
Evaluating organisational capability for BPM project success: industry practitioners' point of view

Oruthotaarachchi, C.R. (Inderscience publishers, 2024)

Efficient business processes are essential for an organisation to achieve its objectives. The practice of monitoring, reviewing, and improving business processes is known as business process management (BPM). The ability ...
Recommendations to Increase the Customer Interaction of E-commerce Applications with Web Usage Mining

Rajapaksha, Pamuditha; Asanka, Dinesh (Institute of Electrical and Electronics Engineers (IEEE), 2023)

Web mining uses data mining methods to extract knowledge from web applications. It is used in e-commerce to track client browsing behavior. The issue with e-commerce is that we only know about our customers once they place ...
Identifying Unusual Human Movements Using Multi-Agent and Time-Series Outlier Detection Techniques

Asanka, PPG Dinesh; Rajapakshe, Chathura; Takahashi, Masakazu (Institute of Electrical and Electronics Engineers (IEEE), 2023)

This research paper has introduced knowledgedriven multi-agent technology for automated machine learning in time series analysis in the context of human mobility. The main objective of this research is to identify unusual ...
A Methodological Approach for the Quality Assurance of Virtual Platforms Delivering Short-Term Online IT Courses.

Munasinghe, Buddhi.A.; Gamage, M.P.A.W.; Asanka, P.P.G.Dinesh (Institute of Electrical and Electronics Engineers (IEEE), 2023)

The world is shifting towards the higher utilization of renewable energy sources in the road to greener energy which conserves an environmentally friendly atmosphere. The generation of sustainable energy via adopting solar ...

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