Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose ERP systems continue to fail. One success factor that has received little attention in the literature is cultural fit – which emphasizes the need for ERP systems to be chosen and adapted to current organizational practices. However, the dynamics behind culture and its fit with ERP require investigation. This paper aims to fills this gap. Design/methodology/approach The paper draws upon cultural and linguistic concepts from Antonio Gramsci to consider how consent is achieved in ERP implementation projects. These concepts include positive (integral) and negative (decadent and minimal) hegemony, as well as the production and effects of normative and spontaneous grammars. The paper examined the implementation of an ERP in a logistics company, using interview and documentary evidence. Findings The findings reveal that, while consensus is apparently achieved across disparate groups and interests, it is achieved through the use of phrases which marginalized groups by their abstract and rhetorical nature. This implementation process allowed for the subordination of local interests, making it difficult to form alternative responses. It is concluded that decadent and minimal hegemonies prevailed, instead of an integral hegemony formed through continuous negotiation and debate across sub‐groups. Research limitations/implications The paper suggests that studies of ERP implementation using Gramsci's concepts of negative (minimal and decadent) and positive (integral) hegemonies, that influence cultural fit, can aid the study of positive and negative forms of consent. Practical implications The paper illustrates how cultural fit during ERP implementation could be achieved through technical and cultural change‐based grammars and languages which allow broad democratic participation. Originality/value This paper illustrates the value of Gramsci's concepts in IS research, and provides valuable insights into the dynamics of “cultural fit”.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it