Constraint Clustering for Promotion Application: Central Java Case Study
Article Sidebar
Main Article Content
Abstract
Organizations utilize Talent Management to enhance competitiveness, improve employee quality, develop potential, and retain talent. Talent management also plays a crucial role in the career development of lecturers. Promotions in the academic ranks and positions of lecturers in Indonesia are essential to consider, as they significantly impact the quality of lecturers, the accreditation value of higher education, and the global rankings of universities. In this study, a questionnaire was administered to 406 respondents. The results revealed six clusters correlated with the challenges of applying for functional lecturer positions. Based on the cluster analysis, Cluster 0 (20%) exhibited minimal obstacles, Cluster 1 (27%) faced highly challenging obstacles, Cluster 2 (13%) experienced neutral obstacles, Cluster 3 (15%) encountered manageable obstacles, Cluster 4 (18%) dealt with easily surmountable constraints, and Cluster 5 (7%) experienced significant hurdles. Future research could explore implementing a new talent management model, particularly for lecturers who need help applying for functional positions.
Downloads
Article Details
Section
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright and Licensing Agreement
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
- Authors retain full copyright of their work
- Authors grant the journal right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0)
- This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
How to Cite
References
Gallardo-Gallardo, E., Thunnissen, M., & Scullion, H. (2020). Talent management: Context matters. The International Journal of Human Resource Management, 31(4), 457–473. https://doi.org/10.1080/09585192.2019.1642645
Hongal, P., & Kinange, D. U. (2020). A study on talent management and its impact on organization performance: An empirical review. International Journal of Engineering Management Research, 10(01), 64–71. https://doi.org/10.31033/ijemr.10.1.12
Selvanathan, M., Surendran, N. N., Arumugam, T., Subramaniam, S. J., & Yusof, N. M. (2019). Lecturer’s perspective on talent management in private higher learning institutions in Kuala Lumpur, Malaysia. International Journal of Higher Education, 8(5), 257–267. https://doi.org/10.5430/ijhe.v8n5p257
Hamson, Z., Nurdin, N. H., Aljurida, A. A., & Nurmillah, N. (2021). Bimbingan teknis penulisan opini ilmiah populer bagi dosen Universitas Indonesia Timur. JMM (Jurnal Masyarakat Mandiri), 5(1), 238–248.
Muluk, M. R. K., & Amelia, A. (2019). The strategy of acceleration improvement of lecturer’s academic ranks (Study the Faculty of X, Y University). Civ. Serv., 13(1), 47–60.
Setyowati, L., Machmuddah, Z., & Fauza, D. H. (2018). The importance of functional positions to improve lecturer careers. Jurnal Sains Manajemen, 4(1), 12–20.
Painter-Morland, M., Kirk, S., Deslandes, G., & Tansley, C. (2019). Talent management: The good, the bad, and the possible. European Management Review, 16(1), 135–146. https://doi.org/10.1111/emre.12171
Kaleem, M. (2019). The influence of talent management on performance of employee in public sector institutions of the UAE. Public Administration Research, 8(2), 8. https://doi.org/10.5539/par.v8n2p8
Crane, B., & Hartwell, C. J. (2019). Global talent management: A life cycle view of the interaction between human and social capital. Journal of World Business, 54(2), 82–92. https://doi.org/10.1016/j.jwb.2018.11.002
Bin Saeed, B., Afsar, B., Hafeez, S., Khan, I., Tahir, M., & Afridi, M. A. (2019). Promoting employee’s pro-environmental behavior through green human resource management practices. Corporate Social Responsibility and Environmental Management, 26(2), 424–438. https://doi.org/10.1002/csr.1694
Shahi, T., Farrokhsheresht, B., Taghipourian, M. J., & Aghajani, H. A. (2020). Behavioral factors affecting talent management: Meta-synthesis technique. Iranian Journal of Management Studies, 13(1), 117–137. https://doi.org/10.22059/IJMS.2019.283845.673684
Rasool, S. F., Samma, M., Wang, M., Zhao, Y., & Zhang, Y. (2019). How human resource management practices translate into sustainable organizational performance: The mediating role of product, process and knowledge innovation. Psychology Research and Behavior Management, 12, 1009–1025. https://doi.org/10.2147/PRBM.S204662
Roscoe, S., Subramanian, N., Jabbour, C. J. C., & Chong, T. (2019). Green human resource management and the enablers of green organisational culture: Enhancing a firm’s environmental performance for sustainable development. Business Strategy and the Environment, 28(5), 737–749. https://doi.org/10.1002/bse.2277
Agarwal, A. (2020). Investigating design targets for effective performance management system: An application of balance scorecard using QFD. Journal of Advances in Management Research, 18(3), 353–367. https://doi.org/10.1108/JAMR-05-2020-0075
Harun, N. H., Nik Mahmood, N. H., & Othman, S. A. (2020). The effect of talent management factors on teacher’s leadership at the secondary schools. Management Science Letters, 10(1), 225–234. https://doi.org/10.5267/j.msl.2019.7.039
O’Connor, E. P., & Crowley-Henry, M. (2019). Exploring the relationship between exclusive talent management, perceived organizational justice and employee engagement: Bridging the literature. Journal of Business Ethics, 156(4), 903–917. https://doi.org/10.1007/s10551-017-3543-1
Collings, D. G., Mellahi, K., & Cascio, W. F. (2019). Global talent management and performance in multinational enterprises: A multilevel perspective. Journal of Management, 45(2), 540–566. https://doi.org/10.1177/0149206318757018
Mahyuni, M., Karnan, K., Safruddin, S., Intiana, R. H., & Rispawati, R. (2020). Strategi akselerasi kenaikan pangkat dan jabatan dosen FKIP Universitas Mataram. Jurnal Pengabdian Masyarakat Sains Indonesia, 2(1). https://doi.org/10.29303/jpmsi.v2i1.22
Khalida, R., Muhajirin, A., Ramdhania, K. F., & Indriana, K. (2019). E-Jafung sebagai sarana penyimpanan data dan pengingat dosen mengurus jabatan fungsional akademik. Informatics Education and Professional, 3(2), 119–128.
Putra, S. J., Hidayah, N. A., Sugiarti, Y., & Teknologi, F. S. (2013). The development of implementation of IDT-based functional lecturer. Jurnal Teknodik, 17(1), 533–546. Retrieved from http://jurnalteknodik.kemdikbud.go.id
Jacob, O. N., Jegede, D., & Musa, A. (2021). Problems facing academic staff of Nigerian universities and the way forward. International Journal of Integrated Education, 4(1), 230–241.
Sinaga, K. P., & Yang, M. S. (2020). Unsupervised K-means clustering algorithm. IEEE Access, 8, 80716–80727. https://doi.org/10.1109/ACCESS.2020.2988796.