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Record W1964678639 · doi:10.1108/josm-05-2013-0122

Motivating millennials to engage in charitable causes through social media

2014· article· en· W1964678639 on OpenAlex
Michèle Paulin, R. James Ferguson, Nina Jost, Jean‐Mathieu Fallu

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

VenueJournal of service management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsHEC MontréalConcordia University
Fundersnot available
KeywordsAppealSocial mediaPsychologySocial psychologyEmpirical researchPublic relationsMarketingBusiness

Abstract

fetched live from OpenAlex

Purpose – It has been suggested that the future success of non-profit organizations lies in ensuring the sustainable involvement of the Millennial generation through social network sites. Facebook is a social media (SM) network that creates new research contexts and methodologies in service management. Organizations must now engage in learning how customer-with-customer interactions in SM could work best for them. The purpose of this paper is to better understand the factors influencing Millennials support for social causes through their autonomous engagement in the public environment of SM. Design/methodology/approach – The authors conducted two studies of events for social causes (breast cancer and youth homelessness). In each, two Facebook event pages appealing to others-benefits and self-benefits were designed. Participants were randomly assigned the task of examining the appeal pages online. The dependent variables were two sets of intentions in support of the cause (online and offline). The effectiveness of an others-benefit vs a self-benefit Facebook appeal, the influence of empathetic identification with these causes and the direct and mediating effects of autonomous motivation was studied. Findings – The studies provide consistent evidence that, to gain Millennial's support for social causes through SM, it is better to appeal mainly to the benefits others derive than to benefits to the self. Autonomous motivation is a strong predictor of supportive intentions and it also significantly mediates the positive influence of empathetic identification with a cause. Self-reported behavioral data following the youth homelessness event provided empirical evidence that the supportive intentions data were valid predictors of actual behaviors. Originality/value – The paper used innovative experimental and correlational research methodologies to address Millennial's social behaviors within a SM context. The paper also introduced self-determination theory of motivation to this literature. From a practical standpoint, Millennials readily engage in impression management. Therefore, their supportive activities should be publicly lauded. Managers should also identify those Millennials who already empathize with the cause and facilitate their ability to influence other members in their networks. SM are changing at a fast pace and managers should employ Millennials in developing pertinent strategies and practices to keep pace. Taking advantage of marketing “with” Millennials can facilitate the development of new approaches for creating and supporting cause events.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
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 head0.041
GPT teacher head0.323
Teacher spread0.282 · 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