An examination of talent management processes in Australian higher education
Article
Article Title | An examination of talent management processes in Australian higher education |
---|---|
ERA Journal ID | 19353 |
Article Category | Article |
Authors | Mohammed, Atheer Abdullah, Hafeez-Baig, Abdul and Gururajan, Raj |
Journal Title | International Journal of Productivity and Performance Management |
Journal Citation | 69 (6), pp. 1271-1299 |
Number of Pages | 29 |
Year | 2019 |
Publisher | Emerald |
Place of Publication | United Kingdom |
ISSN | 0043-8022 |
1741-0401 | |
1758-6658 | |
Digital Object Identifier (DOI) | https://doi.org/10.1108/IJPPM-10-2018-0352 |
Web Address (URL) | https://www.emerald.com/ijppm/article/69/6/1271/166013/An-examination-of-talent-management-processes-in |
Abstract | Purpose Design/methodology/approach Findings Practical implications Originality/value |
Keywords | Talent development; Talent management; Higher education; Talent retention |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Management and Enterprise |
University of Baghdad, Iraq |
https://research.usq.edu.au/item/zz086/an-examination-of-talent-management-processes-in-australian-higher-education
20
total views1
total downloads4
views this month0
downloads this month
Export as
Related outputs
Dr Abdul Hafeez-Baig
Hafeez-Baig, A.. Dr Abdul Hafeez-Baig.DMPat-based SOXFE: investigations of the violence detection using EEG signals
Yildirim, Kubra, Keles, Tugce, Dogan, Sengul, Tuncer, Turker, Tasci, Irem, Hafeez-Baig, Abdul, Barua, Prabal Datta and Acharya, U. R.. 2025. "DMPat-based SOXFE: investigations of the violence detection using EEG signals ." Cognitive Neurodynamics. 19. https://doi.org/10.1007/s11571-025-10266-6Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)
Yaman, Suleyman, Aslan, Ozkan, Güler, Hasan, Sengur, Abdulkadir, Hafeez-Baig, Abdul, Tan, Ru-San, Deo, Ravinesh C, Barua, Prabal Datta and Acharya, U. Rajendra. 2025. "Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024)." Computer Methods and Programs in Biomedicine. 268. https://doi.org/doi:10.1016/j.cmpb.2025.108858Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model
Gurturk, Mert, Cambay, Veysel Yusuf, Hafeez-Baig, Abdul, Hajiyeva, Rena, Dogan, Sengul and Tuncer, Turker. 2025. "Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model ." Traitement du signal: signal, image, parole. 42 (2), pp. 663-674. https://doi.org/10.18280/ts.420206Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds
Keles, Tugce, Dogan, Sengul, Hafeez-Baig, Abdul and Tuncer, Turker. 2025. "Spectrogram-based Deep Learning Approach for Anomaly Detection from Cough Sounds." International Journal of Information Technology and Computer Science (IJITCS). 17 (3), pp. 1-12. https://doi.org/10.5815/ijitcs.2025.03.01MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns
Yaman, Suleyman, Güler, Hasan, Sengur, Abdulkadir, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "MuRAt-CAP-Net: A novel multi-input residual attention network for automated detection of A-phases and subtypes in cyclic alternating patterns." Biomedical Signal Processing and Control. 110 (Part A). https://doi.org/10.1016/j.bspc.2025.108221AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction
Chadalavada, Sreeni, Yaman, Suleyman, Sengur, Abdulkadir, Deo, Ravinesh C., Hafeez-Baig, Abdul, Kolbe-Alexander, Tracy, Sampathila, Niranjana and Acharya, U. Rajendra. 2025. "AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction." IEEE Access. 13, pp. 96261-96276. https://doi.org/10.1109/ACCESS.2025.3574722Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification
Chadalavada, Sreeni, Yaman, Süleyman, Yaman, Suleyman, Sengur, Abdulkadi, Hafeez-Baig, Abdul, Tan, Ru-San, Barua, Prabal Datta, Deo, Ravinesh C., Kobayashi, Makiko and Acharya, U. Rajendra. 2025. "Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification." IEEE Access. 13, pp. 69500-69512. https://doi.org/10.1109/ACCESS.2025.3561593MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images
Gurger, Murat, Esmez, Omer, Key, Sefa, Hafeez-Baig, Abdul, Dogan, Sengul and Tuncer, Turker. 2025. "MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images." Radiological Physics and Technology. https://doi.org/10.1007/s12194-025-00918-xStrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images
Ekingen, Evren, Yildirim, Ferhat, Bayar, Ozgur, Akbal, Erhan, Sercek, Ilknur, Hafeez-Baig, Abdul, Dogan, Sengul and Tuncer, Turker. 2025. "StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images." BMC Medical Imaging. 25 (1). https://doi.org/10.1186/s12880-025-01721-1Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications
Atmakuru, Anirudh, Chakraborty, Subrata, Salvi, Massimo, Faust, Oliver, Barua, Prabal Datta, Kobayashi, Makiko, Tan, Ru San, Molinari, Filippo, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications." IEEE Access. 13, pp. 25026-25044. https://doi.org/10.1109/ACCESS.2025.3539196Prenatal depression level prediction using ensemble based deep learning model
Gopalakrishnan, Abinaya, Zhou, Xujuan, Venkataraman, Revathi, Gururajan, Raj, Chan, Ka Ching, Zhu, Guohun and Higgins, Niall. 2025. "Prenatal depression level prediction using ensemble based deep learning model." International Journal of Cognitive Computing in Engineering. 6, pp. 267-279. https://doi.org/10.1016/j.ijcce.2024.12.002Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards
Btoush, Eyad, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching and Alsodi, Omar. 2025. "Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards." Applied Sciences. 15 (3). https://doi.org/10.3390/app15031081FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Tuncer, Ilknur, Hafeez-Baig, Abdul, Barua, Prabal Datta, Hajiyeva, Rena, Massimo, Salvi, Dogan, Sengul, Tuncer, Turker and Acharya, U.R.. 2025. "FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection." Biomedical Signal Processing and Control. 104. https://doi.org/10.1016/j.bspc.2025.107538From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X." Applied Sciences. 15 (7). https://doi.org/10.3390/app15073898MobileTransNeXt: Integrating CNN, transformer, and BiLSTM for image classification
Ye, Peishun, Lin, Jiyan, Kang, Yaming, Kaya, Tolga, Yildirim, Kubra, Hafeez Baig, Abdul, Aydemir, Emrah, Dogan, Sengul and Tuncer, Turker. 2025. "MobileTransNeXt: Integrating CNN, transformer, and BiLSTM for image classification." Alexandria Engineering Journal. 123, pp. 460-470. https://doi.org/10.1016/j.aej.2025.03.048CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
Ince, Ugur, Talu, Yunus, Duz, Aleyna, Tas, Suat, Tanko, Dahiru, Tasci, Irem, Dogan, Sengul, Hafeez-Baig, Abdul, Aydemir, Emrah and Tuncer, Turker. 2025. "CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals." Diagnostics. 15 (3). https://doi.org/10.3390/diagnostics15030363Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration
Alsodi, Omar, Zhou, Xujuan, Gururajan, Raj, Shrestha, Anup and Btoush, Eyad. 2025. "Cyber Threat Detection on Twitter Using Deep Learning Techniques: IDCNN and BiLSTM Integration." 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). Brisbane, Australia 28 Nov - 02 Dec 2024 Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD65573.2024.00073Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images
Key, Sefa, Kurum, Huseyin, Esmez, Omer, Hafeez-Baig, Abdul, Hajiyeva, Rena, Dogan, Sengul and Tuncer, Turker. 2025. "Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images." Ain Shams Engineering Journal. 16 (1). https://doi.org/10.1016/j.asej.2024.103235Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Atmakuru, Anirudh, Shahini, Alen, Chakraborty, Subrata, Seoni, Silvia, Salvi, Massimo, Hafeez-Baig, Abdul, Rashid, Sadaf, Tan, Ru San, Barua, Prabal Datta, Molinari, Filippo and Acharya, U Rajendra. 2025. "Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)." Information Fusion. 114. https://doi.org/10.1016/j.inffus.2024.102673Developing a cobotic model for employee and customer engagement
Habib, John, Prentice, Catherine, Thaichon, Park and Gururajan, Raj. 2024. "Developing a cobotic model for employee and customer engagement." 27th Biennial International Congress on Tourism and Hospitality Industry 2024 (THI) . Opatija, Croatia 06 - 07 Jun 2024 Croatia. https://doi.org/10.20867/thi.27.29