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Record W4214850042 · doi:10.1123/cssm.2021-0040

Callaway Golf Company and Topgolf: The Perfect Merger?

2022· article· en· W4214850042 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCase Studies in Sport Management · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Systems and Logistics Management
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsProfitability indexBusinessEntertainmentProduct (mathematics)ClothingMarketingAdvertisingFinance

Abstract

fetched live from OpenAlex

This case is based on the 2020 merger between Callaway Golf Company, a leader in the golf equipment and apparel industry, and Topgolf Entertainment Group, the top entertainment brand in the golf industry. Mergers have been known to provide greater efficiency and profitability, but they can also initiate a clash of corporate cultures, creating conflict which may result in a loss of employee satisfaction and brand equity. Along with reviewing the industry and potential outcomes, students will analyze the viability of this merger by conducting a value chain analysis of both companies to look for product alignment. This decision-based case asks students to play the role of Callaway Golf board member Sophia Berckman, who is preparing to make a statement on the prospective merger of the two companies at an emergency board meeting. As such, students will be expected to formulate a recommendation to the board of directors on whether this is a wise business decision using the information provided.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.073
GPT teacher head0.266
Teacher spread0.193 · 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