Ambidextrous Recruitment in the Technical Talent Market: A Market Segmentation Analysis Based on LinkedIn Job Postings
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.
Anahtar Kelimeler
organisational ambidexterity, talent acquisition, digital transformation, artificial intelligence, human resource management
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].