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Record W2558800838 · doi:10.5539/ijms.v8n6p89

The Participatory Management in the Enterprise through Digital Marketing: Enterprise 2.0

2016· article· en· W2558800838 on OpenAlexvenueno aff
Giuseppe Granata, Antonio De Filippo

Bibliographic record

VenueInternational Journal of Marketing Studies · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement, Economics, and Public Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRSSBusinessDigital marketingCitizen journalismWork (physics)MarketingKnowledge managementComputer scienceWorld Wide WebEngineering

Abstract

fetched live from OpenAlex

From its birth to the nowadays lifestyle, web has strongly changed. Although once it was a “place’’ to find information, now it represents that virtual condition, in which it can be possible to share and collect information, thoughts, desires and doing shopping and so on and so forth. Today, the company does not only make just a commercial communication. Instead, there exist many types of interaction: the internal communication, for instance. Enterprise 2.0 is that kind of business that uses the instruments of the web 2.0 both for external and internal communication. It means to use all the digital marketing tools to manage the entire organization, such that we have to think in a participatory management way. Indeed, we have to focus ourselves even more on a participatory organization, where the development of new projects derives from the ones who work into the company. The Social media that can be involved in this field are the same that are used for a commercial communication: social network, blogs, Wikipedia, podcasts, rss feed and so on and so forth. Even though there are very few Italian companies that apply the tools of web 2.0 to manage the entire organization, the paradigm of the enterprise 2.0 is slowly taking off. The purpose of this work paper is to identify how the company can efficiently adopt the digital marketing instruments, utilizing the participatory management: enterprise 2.0. The adoption of these participatory tools is fundamental, because only through their adoption, it can be possible to reach a vast audience and to satisfy the digital consumer needs, who is no more passive, but he is even more active and critic about the choices he is going to make.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.017
Scholarly communication0.0140.014
Open science0.0010.007
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0090.002

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.

Opus teacher head0.041
GPT teacher head0.304
Teacher spread0.264 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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