A Science Mapping Of HR Digital Evolution
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Jan 17, 2026
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Abstract
This study aims to systematically map the development and intellectual structure of research on HR Digital Evolution in order to address the problem of conceptual fragmentation and the limited holistic understanding of digital evolution in Human Resource Management (HRM). The study employs a science mapping approach based on a Systematic Literature Review (SLR) using the PRISMA method combined with bibliometric analysis. Data were obtained from the Scopus database, comprising 41 indexed articles published between 2008 and 2025 that are relevant to the topic of HR Digital Evolution. The analysis was conducted to identify publication trends, major thematic clusters, knowledge structures, and the evolutionary dynamics of digital HR research. The findings indicate that research on HR Digital Evolution has increased significantly over the past decade, particularly in the post-pandemic period, with a dominant focus on digital technology integration, HR analytics, artificial intelligence, digital competency development, and their linkages to sustainability and human-centered values. The results also reveal the limited explicit use of classical HRM theories, indicating a theoretical gap in contemporary digital HR literature. The implications of this study are both theoretical and practical, strengthening the position of HR Digital Evolution as an interdisciplinary domain that requires the integration of socio-technical and dynamic capability theories, while also providing strategic guidance for academics and practitioners in designing more focused, sustainable, and evidence-based HR digital transformation agendas.
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How to Cite
Abdurrahim, A., Santi, A., & Jumiati, J. (2026). A Science Mapping Of HR Digital Evolution. Enrichment : Journal of Management, 15(6), 675-686. https://doi.org/10.35335/enrichment.v15i6.2449
References
Abdurrahim, A. (2025). Literature review: The impact of artificial intelligence on employee productivity and performance. International Journal of Applied Finance and Business Studies, 13(1), 196–206.
Alberdi, T., Mendicute, J., Bascarán, L., Barandika, O., & Ruiz Ederra, J. (2018). Anterior and posterior capsule densitometry levels after femtosecond laser-assisted cataract surgery. International Journal of Ophthalmology, 11(4), 623–628. https://doi.org/10.18240/ijo.2018.04.14
Amazian, M., Nouira, Z., & Filali, M. (2024). Human resources management in the age of artificial intelligence. DATA & METADATA Учредители: Salud, Ciencia y Tecnologia, 3.
An, D., Pinsonneault, M. H., Masseron, T., Delahaye, F., Johnson, J. A., Terndrup, D. M., Beers, T. C., Ivans, I. I., & Ivezic, Z. (2009). Galactic globular and open clusters in the sloan digital sky survey. II. Test of theoretical stellar isochrones. Astrophysical Journal, 700(1), 523–544. https://doi.org/10.1088/0004-637X/700/1/523
Bernacki, M. J., Czarnocka, W., Zaborowska, M., Różańska, E., Labudda, M., Rusaczonek, A., Witoń, D., & Karpiński, S. (2020). EDS1-dependent cell death and the antioxidant system in Arabidopsis leaves is deregulated by the mammalian bax. Cells, 9(11). https://doi.org/10.3390/cells9112454
Borodovsky, J. T., Squeglia, L. M., Mewton, L., & Marsch, L. A. (2024). Longitudinal Use Patterns of Technology Subtypes During the Transition Into Early Adolescence: Results From the Adolescent Brain Cognitive Development Study. Journal of Adolescent Health, 75(5), 809–818. https://doi.org/10.1016/j.jadohealth.2024.06.020
Bruijning, M., Visser, M. D., Hallmann, C. A., & Jongejans, E. (2018). trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r. Methods in Ecology and Evolution, 9(4), 965–973. https://doi.org/10.1111/2041-210X.12975
Carausu, M., Melaabi, S., Pierga, J.-Y., Bidard, F.-C., & Cabel, L. (2020). Esr1 mutation detection and dynamics in meningeal carcinomatosis in breast cancer. Journal of Breast Cancer, 23(2), 218–223. https://doi.org/10.4048/jbc.2020.23.e4
Casas-Arozamena, C., Vilar, A., Cueva, J., Arias, E., Sampayo, V., Diaz, E., Oltra, S. S., Moiola, C. P., Cabrera, S., Mosquera, A., Curiel, T., Abalo, A., Pamies Serrano, M., Domingo, S., Padilla-Iserte, P., De-La-Cruz, M., Hernández-Gutiérrez, A., García-Pineda, V., Ruiz-Bañobre, J., … Muinelo-Romay, L. (2024). Role of cfDNA and ctDNA to improve the risk stratification and the disease follow-up in patients with endometrial cancer: towards the clinical application. Journal of Experimental and Clinical Cancer Research, 43(1). https://doi.org/10.1186/s13046-024-03158-w
Chaudhary, A., Khandelwal, S., Deshpande, P., & Panjabi, P. (2025). An intriguing convergence between metaverse and sustainable human resource management. SA Journal of Human Resource Management, 23. https://doi.org/10.4102/sajhrm.v23i0.2699
Chilingarian, I. V, Cayatte, V., Durret, F., Adami, C., Balkowski, C., Chemin, L., Laganá, T. F., & Prugniel, P. (2008). Kinematics and stellar populations of low-luminosity early-type galaxies in the Abell 496 cluster. Astronomy and Astrophysics, 486(1), 85–97. https://doi.org/10.1051/0004-6361:20078709
Corsini, A., Borgatti, L., Cervi, F., Dahne, A., Ronchetti, F., & Sterzai, P. (2009). Estimating mass-wasting processes in active earth slides - Earth flows with time-series of High-Resolution DEMs from photogrammetry and airborne LiDAR. Natural Hazards and Earth System Sciences, 9(2), 433–439. https://doi.org/10.5194/nhess-9-433-2009
Croft, J., Ellis, S., Sherborne, A. L., Sharp, K., Price, A., Jenner, M. W., Drayson, M. T., Owen, R. G., Chown, S., Lindsay, J., Karunanithi, K., Hunter, H., Gregory, W. M., Davies, F. E., Morgan, G. J., Cook, G., Atanesyan, L., Savola, S., Cairns, D. A., … Kaiser, M. F. (2021). Copy number evolution and its relationship with patient outcome—an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial. Leukemia, 35(7), 2043–2053. https://doi.org/10.1038/s41375-020-01096-y
Crupi, I., Scandelli, A., Giudici, A., Gervasoni, G., Trojaniello, D., & Villa, F. (2025). Multisensor Smart Eyewear for Biomarkers Acquisition. IEEE Sensors Journal, 25(21), 40565–40574. https://doi.org/10.1109/JSEN.2025.3614692
da Silva, L. B. P., Soltovski, R., Pontes, J., Treinta, F. T., Leitão, P., Mosconi, E., de Resende, L. M. M., & Yoshino, R. T. (2022). Human resources management 4.0: Literature review and trends. Computers and Industrial Engineering, 168. https://doi.org/10.1016/j.cie.2022.108111
Donthu, N., Kumar, S., Pattnaik, D., & Lim, W. M. (2021). A bibliometric retrospection of marketing from the lens of psychology: Insights from Psychology & Marketing. Psychology & Marketing, 38(5), 834–865.
Du, W., Luo, A. L., Prugniel, P., Liang, Y. C., & Zhao, Y. H. (2010). Star formation histories and evolution of the 35 brightest E+A galaxies from the Sloan Digital Sky Survey Data Release 5. Monthly Notices of the Royal Astronomical Society, 409(2), 567–581. https://doi.org/10.1111/j.1365-2966.2010.17413.x
Fei-Hu, Z., SyYi, S., Zhi-Wen, W., & Wang, F. (2025). Synergistic reduction of graphene oxide using vitamin C and urea: Enhanced efficiency and material properties. PLOS ONE, 20(9 September). https://doi.org/10.1371/journal.pone.0330990
Fissore, V., Bovio, L., Perotti, L., Boccardo, P., & Borgogno-Mondino, E. (2023). Towards a Digital Twin Prototype of Alpine Glaciers: Proposal for a Possible Theoretical Framework. Remote Sensing, 15(11). https://doi.org/10.3390/rs15112844
Fritz, M., Körsten, S., Chen, X., Yang, G., Lv, Y., Liu, M., Wehner, S., & Fischer, C. B. (2023). Time-Dependent Size and Shape Evolution of Gold and Europium Nanoparticles from a Bioproducing Microorganism, a Cyanobacterium: A Digitally Supported High-Resolution Image Analysis. Nanomaterials, 13(1). https://doi.org/10.3390/nano13010130
Ganiyu, I. O., Atiku, S. O., & van der Byl, K. (2023). An evolution of virtual training: implications for talent development in the post-pandemic period. Development and Learning in Organizations, 37(2), 10–13. https://doi.org/10.1108/DLO-02-2022-0039
Garlan, F., Laurent-Puig, P., Sefrioui, D., Siauve, N., Didelot, A., Sarafan-Vasseur, N., Michel, P., Perkins, G., Mulot, C., Blons, H., Taïeb, J., Di Fioré, F., Taly, V., & Zaanan, A. (2017). Early evaluation of circulating tumor DNA as marker of therapeutic efficacy in metastatic colorectal cancer patients (PLACOL study). Clinical Cancer Research, 23(18), 5416–5425. https://doi.org/10.1158/1078-0432.CCR-16-3155
Gebhard, A., Sadjina, S., Tertinek, S., Dufrêne, K., Pretl, H., & Huemer, M. (2020). A Harmonic Rejection Strategy for 25% Duty-Cycle IQ-Mixers Using Digital-to-Time Converters. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(7), 1229–1233. https://doi.org/10.1109/TCSII.2019.2937654
Goncharuk, N., Bilokudria, A., Kovalchuk, M., Suray, I., & Komarova, K. (2025). KEY AREAS OF DEVELOPMENT OF THE HUMAN RESOURCE MANAGEMENT ECOSYSTEM OF THE CIVIL SERVICE OF UKRAINE IN THE CONTEXT OF DIGITAL TECHNOLOGIES AND GREEN PUBLIC MANAGEMENT. International Journal of Ecosystems and Ecology Science, 15(4), 141–150. https://doi.org/10.31407/ijees15.418
Guan, Y., Chen, B., Zou, J., Britton, T. B., Jiang, J., & Dünne, F. P. E. (2017). Crystal plasticity modelling and HR-DIC measurement of slip activation and strain localization in single and oligo-crystal Ni alloys under fatigue. International Journal of Plasticity, 88, 70–88. https://doi.org/10.1016/j.ijplas.2016.10.001
Hayes, B. (2008). Digital television broadcasting in the United States. SMPTE Motion Imaging Journal, 117(6), 75–77. https://doi.org/10.5594/J15066
Hestroffer, J. M., Latypov, M. I., Stinville, J.-C., Charpagne, M.-A., Valle, V., Miller, M. P., Pollock, T. M., & Beyerlein, I. J. (2022). Development of grain-scale slip activity and lattice rotation fields in Inconel 718. Acta Materialia, 226. https://doi.org/10.1016/j.actamat.2022.117627
Jimenez, R., Spergel, D. N., Niemack, M. D., Menanteau, F., Hughes, J. P., Verde, L., & Kosowsky, A. (2009). Southern cosmology survey. III. QSOs from combined GALEX and optical photometry. Astrophysical Journal, Supplement Series, 181(2), 439–443. https://doi.org/10.1088/0067-0049/181/2/439
Lehnert, R., Remich, V., Gerstein, G., Motylenko, M., Müller, M., Krooss, P., Niendorf, T., Biermann, H., & Weidner, A. (2024). Unraveling factors affecting the reversibility of martensitic phase transformation in FeNiCoAlTi shape memory alloys: Insights from HR-EBSD and acoustic emission analysis. Acta Materialia, 276. https://doi.org/10.1016/j.actamat.2024.120146
Liu, W., Zhang, H., Wang, X., Song, H., Yao, Y., Liu, Z., Wang, J., & Guo, Y. (2025). Combined effect of skeletal muscle mass loss and elevated insulin resistance on heart failure risk in older adults: a community-based longitudinal cohort study. Cardiovascular Diabetology, 24(1). https://doi.org/10.1186/s12933-025-02714-8
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112.
Pietrasz, D., Pécuchet, N., Garlan, F., Didelot, A., Dubreuil, O., Doat, S., Imbert-Bismut, F., Karoui, M., Vaillant, J.-C., Taly, V., Laurent-Puig, P., & Bachet, J.-B. (2017). Plasma circulating tumor DNA in pancreatic cancer patients is a prognostic marker. Clinical Cancer Research, 23(1), 116–123. https://doi.org/10.1158/1078-0432.CCR-16-0806
Prabakar, S., Kumar, V. S., Sangu, V. S., Muthulakshmi, P., Prabakar, S., & Mahabub Basha, S. M. (2025). Catalysts of Change: The Transformative Journey from HR 1.0 to HR 5.0 – Innovations, Challenges, and Strategies in Human Resource Management with Technology and Data-Driven Integration. Indian Journal of Information Sources and Services, 15(1), 47–54. https://doi.org/10.51983/ijiss-2025.IJISS.15.1.08
Robertson, P., Allan, D. S., & Garduño, R. A. (2025). The Passage of Chaperonins to Extracellular Locations in Legionella pneumophila Requires a Functional Dot/Icm System. Biomolecules, 15(1). https://doi.org/10.3390/biom15010091
Sadaf, M. U. K., Sakib, N. U., Pannone, A., Ravichandran, H., & Das, S. (2023). A bio-inspired visuotactile neuron for multisensory integration. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-40686-z
Saha, D., Mukherjee, P., Dutta, S., Meena, K., Sarkar, S. K., Mandal, A. B., Dasgupta, T., & Mitra, J. (2019). Genomic insights into HSFs as candidate genes for high-temperature stress adaptation and gene editing with minimal off-target effects in flax. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-41936-1
Ścigaczewska, A., Boruta, T., & Bizukojć, M. (2018). Morphological evolution of various fungal species in the presence and absence of aluminum oxide microparticles: Comparative and quantitative insights into microparticle-enhanced cultivation (MPEC). MicrobiologyOpen, 7(5). https://doi.org/10.1002/mbo3.603
Shakir, M., Deeb, S. S., Almhlawi, S. O. A., Al Shehab, A., & Eisheh, A. A. (2025). The Impact of Information Systems on Enhancing Employee Human Resource Performance Skills. Journal of Logistics, Informatics and Service Science, 12(1), 91–113. https://doi.org/10.33168/JLISS.2025.0106
Silva, A., Jacobson, T., Meads, M., DIstler, A., & Shain, K. (2015). An organotypic high throughput system for characterization of drug sensitivity of primary multiple myeloma cells. Journal of Visualized Experiments, 2015(101), 1–12. https://doi.org/10.3791/53070
Theodorou, A., Lachanis, S., Papagiannopoulou, G., Maili, M., Pachi, I., Velonakis, G., Bakola, E., Vassilopoulou, S., & Tsivgoulis, G. (2024). Collet–Sicard syndrome due to cervical artery dissection disclosed by high-resolution magnetic resonance imaging. European Journal of Neurology, 31(10). https://doi.org/10.1111/ene.16398
Thorstensen, J. R. (2020). Spectroscopic Studies of 30 Short-period Cataclysmic Variable Stars and Remarks on the Evolution and Population of Similar Objects. Astronomical Journal, 160(1). https://doi.org/10.3847/1538-3881/ab911c
Valentini, G., Vettori, S., Cuomo, G., Iudici, M., D’Abrosca, V., Capocotta, D., del Genio, G., Santoriello, C., & Cozzolino, D. (2012). Early systemic sclerosis: short-term disease evolution and factors predicting the development of new manifestations of organ involvement. Arthritis Research and Therapy, 14(4). https://doi.org/10.1186/ar4019
Yavuzyegit, B., Karali, K., Davis, S., Morrison, B., Karabal, S., Balandiz, K., Smith, N., Usov, S., Shashkov, P., Bonithon, R., & Blunn, G. (2025). High-resolution DIC analysis of in situ strain and crack propagation in coated AZ31 magnesium alloys under mechanical loading. Journal of Materials Science, 60(33), 14708–14730. https://doi.org/10.1007/s10853-025-11243-4
Zouari, W., Suzuki-Muresan, T., Kobayashi, T., Utsunomiya, S., Abdelouas, A., & Grambow, B. (2021). Solubility of monoclinic and yttrium stabilized cubic ZrO2: Solution and surface thermodynamics guiding ultra-trace analytics in aqueous phase. Journal of Nuclear Materials, 545. https://doi.org/10.1016/j.jnucmat.2020.152631
Alberdi, T., Mendicute, J., Bascarán, L., Barandika, O., & Ruiz Ederra, J. (2018). Anterior and posterior capsule densitometry levels after femtosecond laser-assisted cataract surgery. International Journal of Ophthalmology, 11(4), 623–628. https://doi.org/10.18240/ijo.2018.04.14
Amazian, M., Nouira, Z., & Filali, M. (2024). Human resources management in the age of artificial intelligence. DATA & METADATA Учредители: Salud, Ciencia y Tecnologia, 3.
An, D., Pinsonneault, M. H., Masseron, T., Delahaye, F., Johnson, J. A., Terndrup, D. M., Beers, T. C., Ivans, I. I., & Ivezic, Z. (2009). Galactic globular and open clusters in the sloan digital sky survey. II. Test of theoretical stellar isochrones. Astrophysical Journal, 700(1), 523–544. https://doi.org/10.1088/0004-637X/700/1/523
Bernacki, M. J., Czarnocka, W., Zaborowska, M., Różańska, E., Labudda, M., Rusaczonek, A., Witoń, D., & Karpiński, S. (2020). EDS1-dependent cell death and the antioxidant system in Arabidopsis leaves is deregulated by the mammalian bax. Cells, 9(11). https://doi.org/10.3390/cells9112454
Borodovsky, J. T., Squeglia, L. M., Mewton, L., & Marsch, L. A. (2024). Longitudinal Use Patterns of Technology Subtypes During the Transition Into Early Adolescence: Results From the Adolescent Brain Cognitive Development Study. Journal of Adolescent Health, 75(5), 809–818. https://doi.org/10.1016/j.jadohealth.2024.06.020
Bruijning, M., Visser, M. D., Hallmann, C. A., & Jongejans, E. (2018). trackdem: Automated particle tracking to obtain population counts and size distributions from videos in r. Methods in Ecology and Evolution, 9(4), 965–973. https://doi.org/10.1111/2041-210X.12975
Carausu, M., Melaabi, S., Pierga, J.-Y., Bidard, F.-C., & Cabel, L. (2020). Esr1 mutation detection and dynamics in meningeal carcinomatosis in breast cancer. Journal of Breast Cancer, 23(2), 218–223. https://doi.org/10.4048/jbc.2020.23.e4
Casas-Arozamena, C., Vilar, A., Cueva, J., Arias, E., Sampayo, V., Diaz, E., Oltra, S. S., Moiola, C. P., Cabrera, S., Mosquera, A., Curiel, T., Abalo, A., Pamies Serrano, M., Domingo, S., Padilla-Iserte, P., De-La-Cruz, M., Hernández-Gutiérrez, A., García-Pineda, V., Ruiz-Bañobre, J., … Muinelo-Romay, L. (2024). Role of cfDNA and ctDNA to improve the risk stratification and the disease follow-up in patients with endometrial cancer: towards the clinical application. Journal of Experimental and Clinical Cancer Research, 43(1). https://doi.org/10.1186/s13046-024-03158-w
Chaudhary, A., Khandelwal, S., Deshpande, P., & Panjabi, P. (2025). An intriguing convergence between metaverse and sustainable human resource management. SA Journal of Human Resource Management, 23. https://doi.org/10.4102/sajhrm.v23i0.2699
Chilingarian, I. V, Cayatte, V., Durret, F., Adami, C., Balkowski, C., Chemin, L., Laganá, T. F., & Prugniel, P. (2008). Kinematics and stellar populations of low-luminosity early-type galaxies in the Abell 496 cluster. Astronomy and Astrophysics, 486(1), 85–97. https://doi.org/10.1051/0004-6361:20078709
Corsini, A., Borgatti, L., Cervi, F., Dahne, A., Ronchetti, F., & Sterzai, P. (2009). Estimating mass-wasting processes in active earth slides - Earth flows with time-series of High-Resolution DEMs from photogrammetry and airborne LiDAR. Natural Hazards and Earth System Sciences, 9(2), 433–439. https://doi.org/10.5194/nhess-9-433-2009
Croft, J., Ellis, S., Sherborne, A. L., Sharp, K., Price, A., Jenner, M. W., Drayson, M. T., Owen, R. G., Chown, S., Lindsay, J., Karunanithi, K., Hunter, H., Gregory, W. M., Davies, F. E., Morgan, G. J., Cook, G., Atanesyan, L., Savola, S., Cairns, D. A., … Kaiser, M. F. (2021). Copy number evolution and its relationship with patient outcome—an analysis of 178 matched presentation-relapse tumor pairs from the Myeloma XI trial. Leukemia, 35(7), 2043–2053. https://doi.org/10.1038/s41375-020-01096-y
Crupi, I., Scandelli, A., Giudici, A., Gervasoni, G., Trojaniello, D., & Villa, F. (2025). Multisensor Smart Eyewear for Biomarkers Acquisition. IEEE Sensors Journal, 25(21), 40565–40574. https://doi.org/10.1109/JSEN.2025.3614692
da Silva, L. B. P., Soltovski, R., Pontes, J., Treinta, F. T., Leitão, P., Mosconi, E., de Resende, L. M. M., & Yoshino, R. T. (2022). Human resources management 4.0: Literature review and trends. Computers and Industrial Engineering, 168. https://doi.org/10.1016/j.cie.2022.108111
Donthu, N., Kumar, S., Pattnaik, D., & Lim, W. M. (2021). A bibliometric retrospection of marketing from the lens of psychology: Insights from Psychology & Marketing. Psychology & Marketing, 38(5), 834–865.
Du, W., Luo, A. L., Prugniel, P., Liang, Y. C., & Zhao, Y. H. (2010). Star formation histories and evolution of the 35 brightest E+A galaxies from the Sloan Digital Sky Survey Data Release 5. Monthly Notices of the Royal Astronomical Society, 409(2), 567–581. https://doi.org/10.1111/j.1365-2966.2010.17413.x
Fei-Hu, Z., SyYi, S., Zhi-Wen, W., & Wang, F. (2025). Synergistic reduction of graphene oxide using vitamin C and urea: Enhanced efficiency and material properties. PLOS ONE, 20(9 September). https://doi.org/10.1371/journal.pone.0330990
Fissore, V., Bovio, L., Perotti, L., Boccardo, P., & Borgogno-Mondino, E. (2023). Towards a Digital Twin Prototype of Alpine Glaciers: Proposal for a Possible Theoretical Framework. Remote Sensing, 15(11). https://doi.org/10.3390/rs15112844
Fritz, M., Körsten, S., Chen, X., Yang, G., Lv, Y., Liu, M., Wehner, S., & Fischer, C. B. (2023). Time-Dependent Size and Shape Evolution of Gold and Europium Nanoparticles from a Bioproducing Microorganism, a Cyanobacterium: A Digitally Supported High-Resolution Image Analysis. Nanomaterials, 13(1). https://doi.org/10.3390/nano13010130
Ganiyu, I. O., Atiku, S. O., & van der Byl, K. (2023). An evolution of virtual training: implications for talent development in the post-pandemic period. Development and Learning in Organizations, 37(2), 10–13. https://doi.org/10.1108/DLO-02-2022-0039
Garlan, F., Laurent-Puig, P., Sefrioui, D., Siauve, N., Didelot, A., Sarafan-Vasseur, N., Michel, P., Perkins, G., Mulot, C., Blons, H., Taïeb, J., Di Fioré, F., Taly, V., & Zaanan, A. (2017). Early evaluation of circulating tumor DNA as marker of therapeutic efficacy in metastatic colorectal cancer patients (PLACOL study). Clinical Cancer Research, 23(18), 5416–5425. https://doi.org/10.1158/1078-0432.CCR-16-3155
Gebhard, A., Sadjina, S., Tertinek, S., Dufrêne, K., Pretl, H., & Huemer, M. (2020). A Harmonic Rejection Strategy for 25% Duty-Cycle IQ-Mixers Using Digital-to-Time Converters. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(7), 1229–1233. https://doi.org/10.1109/TCSII.2019.2937654
Goncharuk, N., Bilokudria, A., Kovalchuk, M., Suray, I., & Komarova, K. (2025). KEY AREAS OF DEVELOPMENT OF THE HUMAN RESOURCE MANAGEMENT ECOSYSTEM OF THE CIVIL SERVICE OF UKRAINE IN THE CONTEXT OF DIGITAL TECHNOLOGIES AND GREEN PUBLIC MANAGEMENT. International Journal of Ecosystems and Ecology Science, 15(4), 141–150. https://doi.org/10.31407/ijees15.418
Guan, Y., Chen, B., Zou, J., Britton, T. B., Jiang, J., & Dünne, F. P. E. (2017). Crystal plasticity modelling and HR-DIC measurement of slip activation and strain localization in single and oligo-crystal Ni alloys under fatigue. International Journal of Plasticity, 88, 70–88. https://doi.org/10.1016/j.ijplas.2016.10.001
Hayes, B. (2008). Digital television broadcasting in the United States. SMPTE Motion Imaging Journal, 117(6), 75–77. https://doi.org/10.5594/J15066
Hestroffer, J. M., Latypov, M. I., Stinville, J.-C., Charpagne, M.-A., Valle, V., Miller, M. P., Pollock, T. M., & Beyerlein, I. J. (2022). Development of grain-scale slip activity and lattice rotation fields in Inconel 718. Acta Materialia, 226. https://doi.org/10.1016/j.actamat.2022.117627
Jimenez, R., Spergel, D. N., Niemack, M. D., Menanteau, F., Hughes, J. P., Verde, L., & Kosowsky, A. (2009). Southern cosmology survey. III. QSOs from combined GALEX and optical photometry. Astrophysical Journal, Supplement Series, 181(2), 439–443. https://doi.org/10.1088/0067-0049/181/2/439
Lehnert, R., Remich, V., Gerstein, G., Motylenko, M., Müller, M., Krooss, P., Niendorf, T., Biermann, H., & Weidner, A. (2024). Unraveling factors affecting the reversibility of martensitic phase transformation in FeNiCoAlTi shape memory alloys: Insights from HR-EBSD and acoustic emission analysis. Acta Materialia, 276. https://doi.org/10.1016/j.actamat.2024.120146
Liu, W., Zhang, H., Wang, X., Song, H., Yao, Y., Liu, Z., Wang, J., & Guo, Y. (2025). Combined effect of skeletal muscle mass loss and elevated insulin resistance on heart failure risk in older adults: a community-based longitudinal cohort study. Cardiovascular Diabetology, 24(1). https://doi.org/10.1186/s12933-025-02714-8
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112.
Pietrasz, D., Pécuchet, N., Garlan, F., Didelot, A., Dubreuil, O., Doat, S., Imbert-Bismut, F., Karoui, M., Vaillant, J.-C., Taly, V., Laurent-Puig, P., & Bachet, J.-B. (2017). Plasma circulating tumor DNA in pancreatic cancer patients is a prognostic marker. Clinical Cancer Research, 23(1), 116–123. https://doi.org/10.1158/1078-0432.CCR-16-0806
Prabakar, S., Kumar, V. S., Sangu, V. S., Muthulakshmi, P., Prabakar, S., & Mahabub Basha, S. M. (2025). Catalysts of Change: The Transformative Journey from HR 1.0 to HR 5.0 – Innovations, Challenges, and Strategies in Human Resource Management with Technology and Data-Driven Integration. Indian Journal of Information Sources and Services, 15(1), 47–54. https://doi.org/10.51983/ijiss-2025.IJISS.15.1.08
Robertson, P., Allan, D. S., & Garduño, R. A. (2025). The Passage of Chaperonins to Extracellular Locations in Legionella pneumophila Requires a Functional Dot/Icm System. Biomolecules, 15(1). https://doi.org/10.3390/biom15010091
Sadaf, M. U. K., Sakib, N. U., Pannone, A., Ravichandran, H., & Das, S. (2023). A bio-inspired visuotactile neuron for multisensory integration. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-40686-z
Saha, D., Mukherjee, P., Dutta, S., Meena, K., Sarkar, S. K., Mandal, A. B., Dasgupta, T., & Mitra, J. (2019). Genomic insights into HSFs as candidate genes for high-temperature stress adaptation and gene editing with minimal off-target effects in flax. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-41936-1
Ścigaczewska, A., Boruta, T., & Bizukojć, M. (2018). Morphological evolution of various fungal species in the presence and absence of aluminum oxide microparticles: Comparative and quantitative insights into microparticle-enhanced cultivation (MPEC). MicrobiologyOpen, 7(5). https://doi.org/10.1002/mbo3.603
Shakir, M., Deeb, S. S., Almhlawi, S. O. A., Al Shehab, A., & Eisheh, A. A. (2025). The Impact of Information Systems on Enhancing Employee Human Resource Performance Skills. Journal of Logistics, Informatics and Service Science, 12(1), 91–113. https://doi.org/10.33168/JLISS.2025.0106
Silva, A., Jacobson, T., Meads, M., DIstler, A., & Shain, K. (2015). An organotypic high throughput system for characterization of drug sensitivity of primary multiple myeloma cells. Journal of Visualized Experiments, 2015(101), 1–12. https://doi.org/10.3791/53070
Theodorou, A., Lachanis, S., Papagiannopoulou, G., Maili, M., Pachi, I., Velonakis, G., Bakola, E., Vassilopoulou, S., & Tsivgoulis, G. (2024). Collet–Sicard syndrome due to cervical artery dissection disclosed by high-resolution magnetic resonance imaging. European Journal of Neurology, 31(10). https://doi.org/10.1111/ene.16398
Thorstensen, J. R. (2020). Spectroscopic Studies of 30 Short-period Cataclysmic Variable Stars and Remarks on the Evolution and Population of Similar Objects. Astronomical Journal, 160(1). https://doi.org/10.3847/1538-3881/ab911c
Valentini, G., Vettori, S., Cuomo, G., Iudici, M., D’Abrosca, V., Capocotta, D., del Genio, G., Santoriello, C., & Cozzolino, D. (2012). Early systemic sclerosis: short-term disease evolution and factors predicting the development of new manifestations of organ involvement. Arthritis Research and Therapy, 14(4). https://doi.org/10.1186/ar4019
Yavuzyegit, B., Karali, K., Davis, S., Morrison, B., Karabal, S., Balandiz, K., Smith, N., Usov, S., Shashkov, P., Bonithon, R., & Blunn, G. (2025). High-resolution DIC analysis of in situ strain and crack propagation in coated AZ31 magnesium alloys under mechanical loading. Journal of Materials Science, 60(33), 14708–14730. https://doi.org/10.1007/s10853-025-11243-4
Zouari, W., Suzuki-Muresan, T., Kobayashi, T., Utsunomiya, S., Abdelouas, A., & Grambow, B. (2021). Solubility of monoclinic and yttrium stabilized cubic ZrO2: Solution and surface thermodynamics guiding ultra-trace analytics in aqueous phase. Journal of Nuclear Materials, 545. https://doi.org/10.1016/j.jnucmat.2020.152631