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Record W4416999910 · doi:10.63963/001c.150549

Learning Beyond Negotiation Tactics: The Sales Marketplace

2016· article· en· W4416999910 on OpenAlexaff
Seung Hwan Lee

Bibliographic record

VenueJournal for Advancement of Marketing Education · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNegotiationSales managementClass (philosophy)Function (biology)Interpersonal communicationInterpersonal relationship

Abstract

fetched live from OpenAlex

Purpose of the Study: In the past, negotiation-based, role-play sales-assignments have involved oneto-one interaction between a buyer and a seller. Unfortunately, this traditional format often overlooks the importance and presence of multiple buyers/sellers, the role of location, the dynamics of fluctuating market price, and the influential function of competitors. This exercise, The Sales Marketplace , teaches students to be cognizant of these variables beyond just negotiation tactics. Further, additional steps are put in place to have students reflect on their experience as a sales negotiator. Method/Design and Sample: Seventy-six upper year undergraduate marketing concentration majors were given a survey to evaluate The Sales Marketplace exercise. Results: The students reported that The Sales Marketplace is superior to the traditional format in 15 separate questionnaire items, including providing a better outlook of the sales marketplace, providing a realistic sales negotiation experience, requiring more problem analysis, interpersonal skills, emotional control, teamwork, decision making ability, ethical awareness, and class interaction. Students also reported that the exercise enhanced their learning experience, increased their knowledge of sales principles, imagination, and creativity. Value to Marketing Educators: The advantage of the The Sales Marketplace is four-fold. First, the activity evolves beyond a simple lesson in negotiation tactics. Second, it allows students to reflect on their sales negotiation skills and self awareness. Third, this exercise deploys active learning techniques to immerse students in sales-negotiation scenarios. Finally, this method is customizable to any course (beyond sales-based courses) that utilizes negotiation-based learning.

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)0.007
metaresearch head score (Gemma)0.005
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 score0.792
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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