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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66888

The Removed First Rung: Digital Transformation and the Reconstruction of Talent Architecture in IT Organisations

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66888

Volume:

10 |

8 |

Aug 2026

Pages:

1-14

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66888

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Shaila Ashok Rane

Shaila Ashok Rane

Economics

Bharthi Vidhyapeeth Deemed University Pune

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DHM

Dr.VINOD H. MANE

Economics

Bharthi Vidhyapeeth Deemed University Pune

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Abstract

Talent management rests on an assumption that is rarely stated: that the positions being managed hold still long enough to be identified, ranked, and filled. In IT organisations that assumption is now under pressure from an unusual direction. The technology these firms adopt does not merely serve the talent system; it acts on the work from which the talent categories are built. When routine implementation becomes tool-assisted, the entry-level engineering role does not simply contract in headcount. It changes in kind, and the developmental sequence that converted junior hires into senior technical capability loses the step it began with. This paper sets out a research design for studying that problem, and distinguishes it from the more familiar argument about skills obsolescence: obsolescence concerns the content of competence, whereas the concern here is the structural mechanism by which competence is produced. Four propositions are developed, linking digital transformation intensity to sourcing criteria, entry-portal width, the mutual constitution of talent-system response and pipeline architecture, and the moderating role of contractual form. The design is interpretivist across three sequential phases and configurational in a fourth: document and archival analysis of approximately 40 artefacts, 30 semi-structured interviews stratified across three role strata and three firm types, 60 to 70 critical incidents collected using Flanagan's technique, and a fuzzy-set qualitative comparative analysis treating firms as configurations of five conditions. Coding follows the Gioia methodology with a pre-declared saturation criterion and reported intercoder reliability. No findings are presented. What is presented is the apparatus, specified in enough detail to be assessed, replicated, or contested before fieldwork begins.

KEYWORDS

talent management; digital transformation; capability pipeline; entry-level automation; fuzzy-set qualitative comparative analysis; IT workforce; fissured workplace

Cite This Article

Shaila Ashok Rane, Dr.VINOD H. MANE, "The Removed First Rung: Digital Transformation and the Reconstruction of Talent Architecture in IT Organisations," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-14, Aug 2026. https://doi.org/10.55041/IJSREM66888

Full Article/Conclusion

The argument set out here can be wrong in several informative ways, which is the main reason for specifying it before fieldwork. If firms are found to have narrowed the entry portal while leaving progression policy unrevised, the mechanism operates roughly as proposed. If they are found to have revised progression policy and preserved the entry portal by assigning junior engineers to structured review of generated output, the mechanism is real but is being managed, and the more useful question becomes what distinguishes the firms managing it, which is precisely the question Phase 4 is built to answer. If entry portals turn out to have narrowed uniformly regardless of transformation intensity, the financing explanation is stronger than the account offered here, and the paper should report that. What the design commits to is making all three outcomes reportable. That commitment is what the disconfirming-evidence column in Table 4, the within-firm and across-stratum comparison, and the pre-declared saturation criterion are for. It is also why the propositions are stated as directional claims about observable artefacts, since a proposition that cannot fail against a competency framework or a graduate intake share is not doing analytical work. The entry-portal problem, if it exists in the form described, has a structure that no individual firm can solve on its own terms, and identifying that structure is a more useful contribution than a list of practices firms should adopt.

References

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press. Boudreau, J. W., & Ramstad, P. M. (2005). Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management, 44(2), 129–136. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. Cappelli, P. (2008). Talent management for the twenty-first century. Harvard Business Review, 86(3), 74–81. Charmaz, K. (2014). Constructing grounded theory (2nd ed.). Sage. Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304–313. Flanagan, J. C. (1954). The critical incident technique. Psychological Bulletin, 51(4), 327–358. Gallardo-Gallardo, E., Dries, N., & Gonzalez-Cruz, T. F. (2013). What is the meaning of talent in the world of work? Human Resource Management Review, 23(4), 290–300. Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 15–31. Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82.

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Publication Date

8/21/2026

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