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Record W2621058839 · doi:10.1287/isre.2019.0884

Financial Returns to Firms’ Communication Actions on Firm-Initiated Social Media: Evidence from Facebook Business Pages

2020· article· en· W2621058839 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

VenueInformation Systems Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial mediaEnterprise valueBusinessValue (mathematics)Affect (linguistics)Corporate social responsibilityMarketingMonetary economicsAdvertisingEconomicsPublic relationsFinancePolitical sciencePsychology

Abstract

fetched live from OpenAlex

Our paper shows that firm-initiated social media can contribute significantly to the value of firms. The findings provide a rationale for firms to invest heavily in their social media while countering those who question the value of social media. Using a sample of 63 South Korean firms across industries over a three-year period, we find that a firm’s social media actions yield significant financial returns, and the magnitude of these financial returns depends on the types of communication actions: that is, a firm’s (broadcasted) posts versus its responses to customer messages. Our conceptual framework and empirical methodology can help firms more accurately gauge the ROI of their social media investments and tailor their efforts accordingly. Specifically, our results suggest that promptly responding to customer complaints is a key to increasing customer satisfaction and firm performance. Taken together, our study provides guidance for firms on how to optimize their social media strategies to extract greater value from social media.

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)0.003
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.396
GPT teacher head0.436
Teacher spread0.040 · 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