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Record W2522454344 · doi:10.17722/ijme.v7i2.855

Flexible man-man motivation performance management system for Industry 4.0

2016· article· en· W2522454344 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Management Excellence · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnterprise Management and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsIndustry 4.0Process (computing)Production (economics)Process managementProduct (mathematics)BusinessKnowledge managementEmerging technologiesComputer scienceMarketingEconomics

Abstract

fetched live from OpenAlex

Many companies are oriented on the 4th industrial revolution, they solve daily a lot of new working situation in management and organization of own production processes. The purpose of this paper Is to present methodological tool for motivation of own staff by implementation of Industry 4.0 concept. There is most important by this concept to manage and lead all employees for effective and profitable communication with e-technologies used in company. Important dates for the methodology proposal were taken from surveys realized in selected industrial companies (2014, 2015), oriented on the implementation of Industry 4.0 concept in 3 countries. According to results achieved, quantitative and qualitative analyses were realized and identified core motivation trends for effective e-processes. Presented results show key parameters and orientation strategies for flexible employees motivation, integrated in process teams in the area of production planning and organization. There is important to use various motivation strategies, dependent from the process – product – personality motivation of employees. This methodology proposal has the limitations in the small amount of companies that have implemented Industry 4.0 concept. If we are interesting on the new production management strategies in this environment, we should take positive and negative feedback from existing companies for effective new man-man strategies connected with e-processes. The research and results presented in this article open new ways of managerial strategies for production departments and industrial enterprises in the era of 4th industrial revolution. Many companies focus their attention solely on the implementation of e-technologies and e-processes, while still pay less attention to an equally important element – human. In practice will help this methodology to optimize man-man cooperation and teamwork for profitability of complex e-production systems and e-technologies. This paper extends managerial strategy configuration model highlighting new ways of man-man strategies that motivate company employees effective to cooperate with new-implemented e-technologies in according to achievement of optimal process performance.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.234
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it