A5043096639- Multi-Criteria Decision Making
- Technology Adoption and User Behaviour
- Sustainable Supply Chain Management
- Recycling and Waste Management Techniques
- Optimization and Mathematical Programming
- Municipal Solid Waste Management
- Big Data and Business Intelligence
- Smart Agriculture and AI
- Digital Marketing and Social Media
- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Online and Blended Learning
- FinTech, Crowdfunding, Digital Finance
- Smart Cities and Technologies
- Environmental Sustainability in Business
- AI in Service Interactions
- Consumer Behavior in Brand Consumption and Identification
- Network Security and Intrusion Detection
- Organizational and Employee Performance
- Cloud Computing and Resource Management
- Humor Studies and Applications
- E-Government and Public Services
- Healthcare and Environmental Waste Management
- Internet Traffic Analysis and Secure E-voting
- Food Waste Reduction and Sustainability
Central Queensland University
2015-2024
The University of Adelaide
2022
RMIT University
2008-2022
Research Management (Norway)
2022
AID Atlanta
2022
Centre for Quantum Computation and Communication Technology
2021
RFH - University of Applied Sciences Cologne
2021
Technical University of Munich
2021
University of Wuppertal
2021
Dayalbagh Educational Institute
2021
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model to automatically extract features and learn from datasets. Meanwhile, smart farming technology enables farmers achieve maximum by extracting essential parameters of growth. This systematic literature review highlights existing research gaps in particular area deep methodologies guides us analyzing impact vegetation indices environmental factors on yield. To aims this study, prior studies 2012 2022...
This paper explores the potential of machine learning algorithms for weed and crop classification from UAV images. The identification weeds in crops is a challenging task that has been addressed through orthomosaicing images, feature extraction labelling images to train algorithms. In this paper, performances several algorithms, random forest (RF), support vector (SVM) k-nearest neighbours (KNN), are analysed detect using collected chilli field located Australia. evaluation metrics used...
Purpose The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination communication their impact on job performance in organizations. Design/methodology/approach A conceptual model developed within the background social capital theory a comprehensive review related literature exploring can improve via between individuals organizations better performance. This then tested validated based...
User-generated multi-media content, such as images, text, videos, and speech, has recently become more popular on social media sites a means for people to share their ideas opinions. One of the most providing public sentiment towards events that occurred during COVID-19 period is Twitter. This because Twitter posts are short constantly being generated. paper presents deep learning approach analysis data related reviews. The proposed algorithm based an LSTM-RNN-based network enhanced featured...
Purpose Digital technologies have been transforming the traditional workplace and reshaping how work is designed, performed managed in organizations. This makes understanding digital its impact on job performance critically important. study investigates of organizations from perspective technology affordance. Design/methodology/approach A comprehensive review related literature has conducted, leading to development a conceptual model for exploring Such then tested validated using structural...
The increasing use of digital technologies leads to more contingent, flexible, and distributed work arrangements between individuals organizations, resulting in wide adoption work. This makes understanding the impact on job performance critical. study investigates affordance for enhancing A technology theory-based model is tested validated through structural equation modeling collected survey data. shows that using can enhance improved coordination, communication, knowledge sharing,...
The volume of e-waste generated worldwide is surging, and it set to escalate further due continuing technological innovation the early obsolescence most electrical electronic equipment (EEE). Even though there are many studies on management, environmental health consequences regarding direct exposure during informal recycling indirect through contamination poorly studied. This study analyses dumping practices in selected countries such as Brazil, China, India, Mexico, Pakistan. Several...
The "Unified Theory of Acceptance and Use Technology" (UTAUT) has been extensively employed to discover the factors driving positive adoption new technologies. However, there is a lack research on potential adverse effects UTAUT user behavior. This study aims fill this gap by investigating negative behavioral intentions food delivery application (FDA) users based questionnaire administered in China (n = 428). Using structural-equation-modeling analysis, confirms direct or indirect various...
This study sought academic staff and students’ views of electronic exams (e-exams) system the benefits challenges e-exams in general. The respondents provided useful feedback for future adoption at an Australian university elsewhere too. key findings show that students are optimistic about if is sufficiently improved. They fully aware technology could offer supporting learning education general see as innovation teaching higher education.