Innovapost executes on high‐speed merger and acquisition activities
Bibliographic record
Abstract
Purpose The purpose of this paper is to provide a description of how our internal HR team overcame a number of hurdles and achieved 100 percent success in the transition of 85 targeted employees into Innovapost on a timeline that left barely five weeks from start to finish. Design/methodology/approach In July 2006 Innovapost found that it needed to plan for the transition of 85 new employees from epost and Borderfree, two members of the Canada Post Group of companies that would be dissolving on 1 November. Despite a timeline that left barely five weeks for the transition activities, the HR team was able to develop the transition approach, present it to the new employees, answer their specific questions and get 100 percent positive response to the offers of employment with Innovapost. Findings Although organizational and prioritization skills are critical for the success of this type of activity, having a clearly defined transition philosophy to guide you is critical. Decisions have to be made quickly and consistently to ensure that employees have faith in the success of the transition. It is also vital that the HR transition team establishes a visible presence among the transitioning employees and reiterates the message that they are seen as valued new additions to the parent company. There is no such thing as too much communication when dealing with employees, especially when the timeline is short and they are required to make decisions affecting their careers with very little notice. Originality/value The paper presents a methodology of how to successfully integrate employees from outside the company.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.010 |
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".