The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms
Bibliographic record
Abstract
Purpose The purpose of this paper is to understand the impact of digital technologies adoption on the forms of organization of large architecture and engineering (A/E) firms. Network theory has attracted scholarly and managerial attention, particularly from the perspective of the changes of project organization. However, little research focuses on network theory as a lens for understanding and managing the new forms of firms’ organization. Additionally, conventional organizational analyses are hampered by the lack of methods for understanding the changes in roles and relationships due to the adoption of digital technologies and examining their impact on organizational structures. Design/methodology/approach To address this gap, this research adopted a mixed-method case-study approach. This approach combined interviews, regular check-ins, and document analysis with data mining and social network analysis (SNA) to capture the changes of intra-organizational roles and relationships and for understanding their impact on the firm’s organizational structure. Using the data gathered, the authors created a dendrogram that shows the formal organizational structure, a sociogram that displays the informal organizational structure and a network map that visualizes the interplay between the two structures. Findings From this analysis, the authors identified four main findings: informal roles – as go-to people for advice and information about digital technologies – play within A/E firms facing digital transformation; such go-to people operate through informal networked relationships and beyond their formal roles; most of these relationships do not overlap with the formal reporting relationships; the combination of both these roles and relationships create an informal social network. The authors also show how managers can use SNA to understand the changes in roles and relationships due to the adoption of digital technologies and to diagnose their impact on organizational structures. Originality/value This research contributes to the literature of organizational design and change management from a network perspective in the context of the digital transformation of large A/E firms. It provides a systematic data-driven approach to understanding the changes of intra-organizational roles and relationships within A/E firms facing digital transformation and to diagnosing the impact of these changes on firms’ organizational structures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".