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Record W4221069027 · doi:10.1108/tcj-10-2020-0147

Navigating the tides of an emerging global cannabis industry: the Aphria-Tilray merger decision

2022· article· en· W4221069027 on OpenAlexaffabout
Majid Eghbali-Zarch, Jennifer Marlowe, Sandy Brennan

Bibliographic record

VenueThe CASE Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRestructuringMergers and acquisitionsCompetitor analysisBusinessMarketingIndustrial organizationAttractivenessGlobalizationCompetitive advantageStrategic managementCompetition (biology)Product (mathematics)Emerging technologiesEconomicsMarket economyComputer scienceFinance

Abstract

fetched live from OpenAlex

Theoretical basis The case builds upon the theoretical literature in strategy and decision-making under uncertain, complex and ambiguous situations inherent in nascent industries (Eggers and Moeen, 2019). It also bases its analysis of the central decision in the case, the merger between Aphria Inc. and Tilray, on the pertinent literature on mergers and acquisitions (DePamphilis, 2015). DePamphilis (2015). Mergers, acquisitions, and other restructuring activities: An integrated approach to process, tools, cases, and solutions . 8th ed. Academic press, San Diego, CA. Eggers and Moeen (2019). Entry Strategy for Nascent Industries: Introduction to a Virtual Special Issue . Strategic Management Journal. 42 (2), pp. 1–15. Learning outcomes Assessing/reassessing sources of competitive advantage and recognizing how changes in policy and technologies and globalization can change industry dynamics. Identifying the challenges that companies face when developing strategy in nascent and emerging industries and the related (sub)sectors. Analyzing a merger and deciding if it is warranted, financially and strategically. Applying industry analysis to understand dynamic forces impacting an industry, the attractiveness of an industry and how industry structures affect a company’s strategy. Case overview/synopsis The global cannabis industry emerged after Canada, selected states in the US and some other countries across the world started to legalize recreational and/or medical cannabis. Similar to any industry in its nascent stages, the industry structure was undefined, product definitions and categories were unclear and competitive landscape was evolving. It was key for decision makers such as Irwin Simon, the CEO of Aphria Inc., to devise a strategy that would enable the firm to navigate the tides of the nascent industry. Simon had a background in consumer packaged goods industry and was a proponent of gaining market power through industry consolidation moves such as mergers and acquisitions. In 2020, encounters with Tilray’s CEO presented Simon with a merger opportunity with potentials for complementarities and cost savings. The challenge for Simon was to convince the Aphria’s shareholders that the potential gains from this move outweighs its challenges. Complexity academic level Strategy courses (undergraduate and graduate level) • During a session on nascent industry analysis, to illustrate how companies decide whether to enter a market, how to grow and position themselves. • During a session on mergers and acquisitions, to illustrate how a company can use such strategies to gain market power and pursue consolidation. International business courses (undergraduate and graduate level) • During a session on navigating the tides of an industry that is in its nascent stage, both at the individual country level and at the global level. Cannabis industry courses (undergraduate level) • During a session on the national and global prospects of the industry from an investment, entrepreneurial or policy-making perspective. • During a session on mergers and industry consolidation strategies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.010
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 head0.016
GPT teacher head0.328
Teacher spread0.312 · 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.

Study designOther design
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

Citations1
Published2022
Admission routes2
Has abstractyes

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