Araştırma Makalesi
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Ambidextrous Recruitment in the Technical Talent Market: A Market Segmentation Analysis Based on LinkedIn Job Postings

Yıl 2026, Cilt: 7 Sayı: 3 , 327 - 359 , 29.03.2026
https://doi.org/10.54733/smar.1838343
https://izlik.org/JA83YT85UZ

Öz

The research investigates technical talent market segmentation through a comparison between standard recruitment methods from public job listings and the premium senior engineering recruitment model of Talent by Blind. The research uses organisational ambidexterity theory to explain how businesses achieve efficient mainstream hiring (exploitation) and innovative recruitment approaches (exploration) for their senior engineering positions. The research analyses 7,927 LinkedIn job postings to identify the main specialisations and seniority levels and work arrangements found in the accessible technical workforce. The research shows that most job postings on public job boards focus on hiring mid-level professionals working in Indian technology centres, yet director and executive positions make up only 1% of available positions. The premium senior engineering segment uses private recruitment networks and candidate acquisition methods instead of traditional job posting strategies. The research demonstrates that organisations use ambidextrous recruitment approaches to handle talent shortages and technological changes and changing workforce needs through their different recruitment systems for high-end and standard positions. The research combines market segmentation methods with organisational ambidexterity theory to explain how organisations use different recruitment approaches for modern technology workers.

Kaynakça

  • Ahammad, M. F., Glaister, K. W., & Junni, P. (2019). Organizational ambidexterity and human resource practices. The International Journal of Human Resource Management, 30(4), 503-507. https://doi.org/10.1080/09585192.2019.1538651
  • Bidwell, M., & Keller, J. R. (2014). Within or without? How firms combine internal and external labor markets to fill jobs. Academy of Management Journal, 57(4), 1035-1055. https://doi.org/10.5465/amj.2012.0119
  • Bone, M., Ehlinger, E., & Stephany, F. (2024). Skills or degree? The rise of skill-based hiring for AI and green jobs. arXiv. https://doi.org/10.48550/arXiv.2312.11942
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (Second edition). Lawrence Erlbaum Associates.
  • 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
  • Doeringer, P. B., & Piore, M. J. (1971). Internal labor markets and manpower analysis. D.C. Heath and Company.
  • Gibson, C. B., & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47(2), 209-226. https://doi.org/10.5465/20159573
  • Hamblin, R., Plimmer, G., Badar, K., & Lasthuizen, K. (2024). Organizational ambidexterity: a bibliometric review and framework for future public administration research. Public Performance & Management Review, 47(5), 1073-1109. https://doi.org/10.1080/15309576.2024.2373178
  • Johar, E., & Singh, M. (2023). Evolving an integrated framework for ambidextrous HRM: A special case of platform-based gig work. IIMB Management Review, 35(4), 393-404. https://doi.org/10.1016/j.iimb.2023.10.004
  • Josh Bersin. (2024). Josh Bersin’s predictions for 2024. https://joshbersin.com/josh-bersins-predictions-for-2024/ [Accessed Date: 02 December 2025].
  • March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87. https://doi.org/10.1287/orsc.2.1.71
  • McKinsey & Company. (2024). The shape of talent in 2023 and 2024. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-shape-of-talent-in-2023-and-2024 [Accessed Date: 02 December 2025].
  • O'Reilly III, C. A., & Tushman, M. L. (2013). Organizational ambidexterity: Past, present, and future. Academy of Management Perspectives, 27(4), 324-338. https://doi.org/10.5465/amp.2013.0025
  • Paramita, D., Okwir, S., & Nuur, C. (2024). Artificial intelligence in talent acquisition: exploring organisational and operational dimensions. International Journal of Organizational Analysis, 32(11), 108-131. https://doi.org/10.1108/IJOA-09-2023-3992
  • Raisch, S., & Birkinshaw, J. (2008). Organizational ambidexterity: Antecedents, outcomes, and moderators. Journal of Management, 34(3), 375-409. https://doi.org/10.1177/0149206308316058
  • Riggins, J. (2023). Rethinking your engineer hiring strategy in 2024. LeadDev. https://leaddev.com/management/rethinking-your-engineer-hiring-strategy-2024 [Accessed Date: 02 December 2025].
  • Rukadikar, A., Khandelwal, K., & Warrier, U. (2025). Reimagining recruitment: Traditional methods meet AI interventions-A 20-year assessment (2003-2023). Cogent Business & Management, 12(1), 2454319. https://doi.org/10.1080/23311975.2025.2454319
  • Society for Human Resource Management (SHRM). (2025). 2025 talent trends: Recruiting. https://www.shrm.org/topics-tools/research/2025-talent-trends/recruiting [Accessed Date: 02 December 2025].
  • Strohmeier, S., & Piazza, F. (2015). Artificial intelligence techniques in human resource management-A conceptual exploration. In C. Kahraman, & S. Ç. Onar (Eds.), Intelligent techniques in engineering management: Theory and applications (pp. 149-172). Springer. https://doi.org/10.1007/978-3-319-17906-3_7
  • Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910
  • Wang, C., Zhang, M., & Ma, H. (2024). The more ambidexterity the better? The moderating effect of organizational learning between high-performance HR practices and organizational performance. Frontiers in Psychology, 14, 1283637. https://doi.org/10.3389/fpsyg.2023.1283637
  • Wright, P. M., & McMahan, G. C. (2011). Exploring human capital: Putting ‘human’back into strategic human resource management. Human Resource Management Journal, 21(2), 93-104. https://doi.org/10.1111/j.1748-8583.2010.00165.x
  • Zhang, Y. (2024). Digital transformation in talent acquisition: An investigation into the integration of big data analytics and management information systems for optimal hiring strategies. Journal of Internet Services and Information Security (JISIS), 14(4), 104-120. https://doi.org/10.58346/JISIS.2024.I4.006

Teknik Yetenek Piyasasında Çift Yönlü İşe Alım: LinkedIn İş İlanları Üzerinden Bir Pazar Segmentasyonu Analizi

Yıl 2026, Cilt: 7 Sayı: 3 , 327 - 359 , 29.03.2026
https://doi.org/10.54733/smar.1838343
https://izlik.org/JA83YT85UZ

Öz

Bu araştırma, teknik yetenek piyasasının segmentasyonunu kamuya açık iş ilanlarından elde edilen standart işe alım yöntemleri ile Talent by Blind’ın kıdemli mühendisler için uyguladığı premium işe alım modeli arasındaki karşılaştırma üzerinden incelemektedir. Araştırma, işletmelerin ana akım işe alımlarda verimliliği (exploitation) ve kıdemli mühendis pozisyonları için yenilikçi işe alım yaklaşımlarını (exploration) nasıl gerçekleştirdiklerini açıklamak için örgütsel çift yönlülük (organisational ambidexterity) teorisini kullanmaktadır. Çalışma, erişilebilir teknik iş gücünde görülen başlıca uzmanlık alanlarını, kıdem seviyelerini ve çalışma düzenlerini belirlemek amacıyla LinkedIn’deki 7.927 iş ilanını analiz etmektedir. Bulgular, kamuya açık iş ilanlarının büyük çoğunluğunun Hindistan’daki teknoloji merkezlerinde görev yapacak orta seviye profesyonelleri hedeflediğini; direktör ve üst düzey yönetici pozisyonlarının ise mevcut iş ilanlarının yalnızca %1’ini oluşturduğunu göstermektedir. Premium kıdemli mühendislik segmenti ise geleneksel iş ilanı stratejilerinden ziyade özel işe alım ağları ve aday kazanım yöntemlerini kullanmaktadır. Araştırma, kuruluşların üst düzey ve standart pozisyonlar için farklı işe alım sistemleri kullanarak yetenek kıtlığı, teknolojik dönüşüm ve değişen iş gücü ihtiyaçlarıyla başa çıkmak amacıyla çift yönlü işe alım yaklaşımlarını benimsediğini ortaya koymaktadır. Bu çalışma, modern teknoloji çalışanları için kuruluşların farklı işe alım yaklaşımlarını nasıl kullandığını açıklamak üzere pazar segmentasyonu yöntemleri ile örgütsel çift yönlülük teorisini bir araya getirmektedir.

Kaynakça

  • Ahammad, M. F., Glaister, K. W., & Junni, P. (2019). Organizational ambidexterity and human resource practices. The International Journal of Human Resource Management, 30(4), 503-507. https://doi.org/10.1080/09585192.2019.1538651
  • Bidwell, M., & Keller, J. R. (2014). Within or without? How firms combine internal and external labor markets to fill jobs. Academy of Management Journal, 57(4), 1035-1055. https://doi.org/10.5465/amj.2012.0119
  • Bone, M., Ehlinger, E., & Stephany, F. (2024). Skills or degree? The rise of skill-based hiring for AI and green jobs. arXiv. https://doi.org/10.48550/arXiv.2312.11942
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (Second edition). Lawrence Erlbaum Associates.
  • 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
  • Doeringer, P. B., & Piore, M. J. (1971). Internal labor markets and manpower analysis. D.C. Heath and Company.
  • Gibson, C. B., & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47(2), 209-226. https://doi.org/10.5465/20159573
  • Hamblin, R., Plimmer, G., Badar, K., & Lasthuizen, K. (2024). Organizational ambidexterity: a bibliometric review and framework for future public administration research. Public Performance & Management Review, 47(5), 1073-1109. https://doi.org/10.1080/15309576.2024.2373178
  • Johar, E., & Singh, M. (2023). Evolving an integrated framework for ambidextrous HRM: A special case of platform-based gig work. IIMB Management Review, 35(4), 393-404. https://doi.org/10.1016/j.iimb.2023.10.004
  • Josh Bersin. (2024). Josh Bersin’s predictions for 2024. https://joshbersin.com/josh-bersins-predictions-for-2024/ [Accessed Date: 02 December 2025].
  • March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87. https://doi.org/10.1287/orsc.2.1.71
  • McKinsey & Company. (2024). The shape of talent in 2023 and 2024. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/the-shape-of-talent-in-2023-and-2024 [Accessed Date: 02 December 2025].
  • O'Reilly III, C. A., & Tushman, M. L. (2013). Organizational ambidexterity: Past, present, and future. Academy of Management Perspectives, 27(4), 324-338. https://doi.org/10.5465/amp.2013.0025
  • Paramita, D., Okwir, S., & Nuur, C. (2024). Artificial intelligence in talent acquisition: exploring organisational and operational dimensions. International Journal of Organizational Analysis, 32(11), 108-131. https://doi.org/10.1108/IJOA-09-2023-3992
  • Raisch, S., & Birkinshaw, J. (2008). Organizational ambidexterity: Antecedents, outcomes, and moderators. Journal of Management, 34(3), 375-409. https://doi.org/10.1177/0149206308316058
  • Riggins, J. (2023). Rethinking your engineer hiring strategy in 2024. LeadDev. https://leaddev.com/management/rethinking-your-engineer-hiring-strategy-2024 [Accessed Date: 02 December 2025].
  • Rukadikar, A., Khandelwal, K., & Warrier, U. (2025). Reimagining recruitment: Traditional methods meet AI interventions-A 20-year assessment (2003-2023). Cogent Business & Management, 12(1), 2454319. https://doi.org/10.1080/23311975.2025.2454319
  • Society for Human Resource Management (SHRM). (2025). 2025 talent trends: Recruiting. https://www.shrm.org/topics-tools/research/2025-talent-trends/recruiting [Accessed Date: 02 December 2025].
  • Strohmeier, S., & Piazza, F. (2015). Artificial intelligence techniques in human resource management-A conceptual exploration. In C. Kahraman, & S. Ç. Onar (Eds.), Intelligent techniques in engineering management: Theory and applications (pp. 149-172). Springer. https://doi.org/10.1007/978-3-319-17906-3_7
  • Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910
  • Wang, C., Zhang, M., & Ma, H. (2024). The more ambidexterity the better? The moderating effect of organizational learning between high-performance HR practices and organizational performance. Frontiers in Psychology, 14, 1283637. https://doi.org/10.3389/fpsyg.2023.1283637
  • Wright, P. M., & McMahan, G. C. (2011). Exploring human capital: Putting ‘human’back into strategic human resource management. Human Resource Management Journal, 21(2), 93-104. https://doi.org/10.1111/j.1748-8583.2010.00165.x
  • Zhang, Y. (2024). Digital transformation in talent acquisition: An investigation into the integration of big data analytics and management information systems for optimal hiring strategies. Journal of Internet Services and Information Security (JISIS), 14(4), 104-120. https://doi.org/10.58346/JISIS.2024.I4.006
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İnsan Kaynakları Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Ayşe İlgün Kamanlı 0000-0001-5562-8004

Gönderilme Tarihi 8 Aralık 2025
Kabul Tarihi 23 Mart 2026
Yayımlanma Tarihi 29 Mart 2026
DOI https://doi.org/10.54733/smar.1838343
IZ https://izlik.org/JA83YT85UZ
Yayımlandığı Sayı Yıl 2026 Cilt: 7 Sayı: 3

Kaynak Göster

APA İlgün Kamanlı, A. (2026). Ambidextrous Recruitment in the Technical Talent Market: A Market Segmentation Analysis Based on LinkedIn Job Postings. Sosyal Mucit Academic Review, 7(3), 327-359. https://doi.org/10.54733/smar.1838343