Innovative versus incremental new business services: Different keys for achieving success
Bibliographic record
Abstract
In companies where new product development plays an important strategic role, managers necessarily contend with a portfolio of projects that range from high technology, new‐to‐the‐world, innovations to relatively simple improvements, adaptations, line extensions, or imitations of competitive offerings. Recent studies indicate that achieving successful outcomes for projects that differ radically in terms of innovativeness requires that firms adjust their NPD practices in line with the type of new product project they are developing. Based on a large‐scale survey of managers knowledgeable about new product development in their firm, this study focuses on new business‐to‐business service projects in an attempt to gain insights about the influence of product innovativeness on the factors that are linked to new service success and failure. The research results indicate that there are a small number of “global” success factors which appear to govern the outcome of new service ventures, regardless of their degree of newness. These include: ensuring an excellent customer/need fit, involving expert front line personnel in creating the new service and in helping customers appreciate its distinctiveness and benefits, and implementing a formal and planned launch program for the new service offering. Several other factors, however, were found to play a more distinctive role in the outcome of new service ventures, depending on how really new or innovative the new service was. For low innovativeness new business services, the results suggest that managers can enhance performance by: leveraging the firm's unique competencies, experiences and reputation through the introduction of new services that have a strong corporate fit; installing a formal “stage‐gate” new service development system, particularly at the front‐end and during the design stage of the development process; and ensuring that efforts to differentiate services from competitive or past offerings do not lead to high cost or unnecessarily complex service offerings. For new‐to‐the‐world business services, the primary distinguishing feature impacting performance is the corporate culture of the firm: one that encourages entrepreneurship and creativity, and that actively involves senior managers in the role of visionary and mentor for new service development. In addition, good market potential and marketing tactics that offset the intangibility of “really new” service concepts appear to have a positive performance effect.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".