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Record W2515038051 · doi:10.2495/sdp-v11-n3-469-482

Conceptualising innovative business models for sustainable sport tourism

2016· article· en· W2515038051 on OpenAlexvenueno aff
Marko Perić, Vanja Vitezić, Janez Mekinc

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
FundersHrvatska Zaklada za Znanost
KeywordsTourismBusinessSustainable tourismBusiness modelSustainable developmentEnvironmental planningMarketingGeographyPolitical science

Abstract

fetched live from OpenAlex

In today's complex business environment, creating and delivering value to the customer, as the ultimate goal of business models, implies continuous research of elements and relationships within the business model. Despite the growing level of quality research in the field of business models, there seems to be a remarkable gap in the topic of tourism, especially in sport tourism. Being a unique combination of an experience-oriented activity (i.e. tourism) and a performance-oriented activity (i.e. sport), sport tourism presents many challenges to service providers. In fostering sustainable and profitable sport tourism, it is reasonable to ask how complex challenges affect business models and whether new model definitions and elements should be propounded. The aim of this paper is to propose a conceptual business model for sport tourism that will consider some critical issues that challenge the industry. First, a range of contrasting perspectives regarding business model elements will be analysed. Second, three potentially significant issues for sport tourism operators -tourist experience, safety and security, and the importance of the environment -will be analysed, and their position within the context of the business model will be discussed. Finally, a new conceptual business model framework for sport tourism will be proposed. This framework would facilitate research into the managerial aspects of sport tourism supply to provide additional guidelines for practitioners, particularly for small, private-owned businesses.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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 designTheoretical or conceptual
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

Citations29
Published2016
Admission routes1
Has abstractyes

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