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Record W4328094367 · doi:10.54691/bcpbm.v38i.3991

The Development of PS in the Current Game Market

2023· article· en· W4328094367 on OpenAlexaff
Guanyi Xiong, Hai‐Bo Yang, Chengyi Zhao, Houde Zhu

Bibliographic record

VenueBCP Business & Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMarket shareCompetitor analysisGreat recessionBusinessAdvertisingCommerceEconomicsMarketingKeynesian economics

Abstract

fetched live from OpenAlex

This paper mainly discusses the current issue and future development of PlayStation of Sony. The two main competitors of Sony’s PlayStation are Nintendo and Microsoft’s Xbox. Sony previously occupied approximately a half of the whole market share, which surpassed the market share of Nintendo and Xbox respectively. In 1994, PS successfully defeated SEGA and Nintendo in Japan and became the overlord of the game industry at that time. In the following decades, Sony launched PS2, PSX, PS3, PS4 and other excellent host products and the global sales volume of PS2 hosts was 158 million, which exceeded all hosts and handheld machines. However, Sony is now in a recession and many problems occur. PS experienced a decline in game quality and Sony added many of its exclusive games to the PC side for distribution, causing dissatisfaction among many PS host players. Simultaneously, Microsoft’s XGP subscription system became a great success. At this urgent time, some great leaders of Sony decided to reform strategies of the company. There are failures and obstacles during this period but we are likely to witness the re-rising of Sony’s PlayStation. You will find more interesting details in our paper.

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 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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.313
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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