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Record W2795101335 · doi:10.1108/eemcs-06-2017-0127

Pacari Chocolate: preserving biodiversity, living without regret

2018· article· en· W2795101335 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

VenueEmerald Emerging Markets Case Studies · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategies and Innovation
Canadian institutionsUniversity of Lethbridge
FundersEuropean Commission
KeywordsRevenueMarketingEmerging marketsEntrepreneurshipBusinessProduct (mathematics)IndigenousTourismExcellenceLatin AmericansSustainabilityFinancePolitical science

Abstract

fetched live from OpenAlex

Subject area Emerging Markets. Study level/applicability Undergraduate, Masters. Case overview Pacari Chocolate is the flagship brand of SKS Farms CIA Ltda., located in Quito, Ecuador. The company specializes in organic chocolate production which it sells in Ecuador and exports to other Latin American, European and North American markets. The company began operation in 2002, founded by Carla Barbotó and her husband Santiago Peralta. Carla is the Director of SKS and Santiago is General Manager. The case is set just after Santiago negotiated a deal to supply Emirates Airlines with mini bars to be distributed to flight passengers. Santiago is excited about this new deal, which will provide a new revenue stream, enhance brand image and potentially create new customers. Carla and Santiago pursue excellence with their products, as evidenced by over 160 awards, many globally recognized. However, their mission is also very much social in that they seek to improve the lives of Andean farmers, indigenous peoples and broader Ecuadorean society. The principle author uses this case in a course on innovative approaches to engaging emerging market opportunities, in which shared (social + economic) value and the formation of strong national industries are key outcomes, to be addressed through complementary market and non-market entrepreneurship strategies. Expected learning outcomes Expected learning outcomes are as follows: to identify the contextual challenges faced by an emerging market firm, and explain what must be done to overcome them; to identify the role of a firm in developing a national competency in an agricultural product industry; to demonstrate the creation of “shared value” and examine how the social mission of a company can reinforce and sustain its economic value creating activities; and to generate and evaluate options for developing international markets when a firm has limited resources to invest in marketing activities. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS 3: Entrepreneurship.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.281
Teacher spread0.241 · 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