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Record W2993196930

Maritime Enterprises and Regulated competition.(Instructor's Note)

2007· article· en· W2993196930 on OpenAlexaboutno aff
Gary A. Lombardo, Robert F. Mulligan

Bibliographic record

VenueJournal of the International Academy of Case Studies · 2007
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Context (archaeology)Government (linguistics)MarketingStrategic managementBusinessIndustrial organizationEconomicsMarket share
DOInot available

Abstract

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CASE DESCRIPTION The primary subject matter of this case concerns two U.S. domestic maritime enterprises engaged in liner shipping and interacting in a regulated market. Secondary issues examined include U.S. Cabotage Laws, market contestability, government regulation and potential domestic entrants. The case has a difficulty level of four, appropriate for senior level. The case is designed to be taught in one class hour and is expected to require three hours of outside preparation by students. The case is designed for use in either the Managerial Economics or Business Policy and Strategy (otherwise entitled Corporate Strategy or Strategic Management) course. CASE SYNOPSIS Two U.S. domestic maritime enterprises are profiled. Students are asked to advise the Chief Strategy Officer for each of the two firms identified in the case study in terms of price and freight carrying (shipping) capacity competition. The students are required to formulate and justify their recommendations for each firm's strategic actions regarding price adjustments, shipping capacity adjustments or some combination of the two. The recommendation should consider the rivals' past behaviors and likely future responses. INSTRUCTORS' NOTES Learning Outcomes Students will understand the: * microeconomic framework for price and capacity competition; * implications of government regulation on the strategic decision making of enterprises; * strategic interrelatedness of firms within an industry sector that accounts for the majority of the market share; * implications of price competition; * implications of capacity competition; and * the strict dichotomy between an enterprise's strategic short-run and long-run imperatives. Appropriate Case Context This case can be used to provide a real-world scenario for strategic decisions within the context of the microeconomic framework of price and capacity considerations in a government regulated industry sector. Two competing firms are faced with price and capacity decisions that are critical to their future operations. Although, the context is the marine transportation sector; the issues are faced by senior management teams in many industry sectors that are typical of a small number of producers enjoying a collective high market share; e.g., ethical pharmaceutical and telephone enterprises on the national level and banking and electrical power generating enterprises on a regional level. Students are assigned roles as the advisors to the Chief Strategy Officer of each company as they formulate and justify their recommendations for a strategy regarding price and capacity competition for their assigned enterprise and assess the competitor's strategic response. Theoretical Considerations Earlier research has been helpful in understanding liner shipping competition with respect to pricing and shipping capacity. Bergantino and Veenstra (2002) researched liner shipping competition in terms of network theory. Panayides and Cullinane (2002) investigated competitive advantage and Fusillo (2003) examined the role of excess capacity in deterring entry. Song and Panayides (2002) researched cooperative game theory and Brooks (2002) analyzed regulation in North America from a Canadian perspective. Frankel (2004) estimates that U.S. Cabotage Laws, by shielding U.S. firms from lower-cost international competitors, impose direct costs of $3 billion on the U.S. economy, and indirect costs of $6 billion. In the United States, the Jones Act requires all vessels operating between U.S. ports to be domestically built, owned, operated, and staffed (Lombardo, 2004) thus increasing freight costs. This section reviews the basic microeconomic theory relevant to understanding the competitive nature of maritime firm behavior. Maritime firms maximize profit rather than revenue. …

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.282
Teacher spread0.264 · 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".

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Citations0
Published2007
Admission routes1
Has abstractyes

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