Managing by Sustainable Innovational Values (MSIV): An Asymmetrical Culture Reengineering Model of Values Embedding User Innovators and User Entrepreneurs
Bibliographic record
Abstract
Today’s critical success factor for public and private enterprises is their capability to develop, adapt, promote, and successfully manage sustainable innovation processes. Firms that are able to successfully manage sustainable innovation processes can competitively operate in mature markets while refocusing their strategies to open up new markets and target new customer segments. With knowledge becoming the main resource of global firms, the capacity to develop sustainable innovation strategies, cultures, and processes enables firms to capitalize on their strategic human resources and management systems. Sustainable innovation mandates that firms leverage both tacit and explicit resources and the talent of user-innovators and user-entrepreneurs, developing sustainable innovation routines and results. In addition to these traditional requirements, we argue that the firm’s ability to identify, embed, and manage organizational, managerial, and personal values within their cultures provides the core foundation for inspiring, motivating, and energizing creativity and innovation across the firm. Leaders, managers, employees, and users who share these core values, can achieve sustainable innovation. This perspective supports the growing recognition by academics and practitioners for managers to utilize socially-responsible management practices and activities to simultaneously fuel innovation and create a better, more sustainable and more harmonious world. The aim of this paper is to present and further elaborate a prototype of the “Management by Sustainable Innovational Values” (MSIV) model that was recently published (Brillo, Dolan, & Kawamura, 2014). The MSIV model proposes that sustainable innovation best occurs when certain values are identified, shared, and operationalized across the organization, and, more specifically, when organizational members are passionate about their work because they share emotional values to an even greater degree than economic or social ones. While the MSIV model does not ignore economic and social values as drivers of performance and firm survival, it is argued that sustainable innovation may best occur when emotional values work in conjunction with economic values, and when these values are embedded within the firm’s culture.
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.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".