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Enregistrement W6991202389

A First Principles Approach to Product Development in Entrepreneurship

2023· dissertation· en· W6991202389 sur OpenAlexfundno aff

Notice bibliographique

RevueVTechWorks (Virginia Tech) · 2023
Typedissertation
Langueen
DomaineBusiness, Management and Accounting
ThématiqueBusiness Strategies and Innovation
Établissements canadiensnon disponible
Organismes subventionnairesCanadian Institute for Theoretical AstrophysicsNational Science Foundation
Mots-clésNew product developmentGrounded theoryProcess (computing)Product (mathematics)Bridge (graph theory)StakeholderEntrepreneurshipPurchasing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The purpose of this dissertation is to explore an entrepreneurial framework that this dissertation calls A First Principles Approach to Product Development in Entrepreneurship. The goal is to improve safety for bicycle riders. This research project identifies, applies, and assesses product development methodologies in a way that is grounded in qualitative research. The framework that encompasses those methodologies was created to bridge the gaps between entrepreneurship, engineering design, and industrial design, where the framework was specifically applied to bicycle helmets and examined as a case study. The framework is intended for entrepreneurs, product developers, and researchers who are developing physical, capital-intensive products, where the key stakeholder who is describing a problem is also close to the purchasing decision. Parts of this dissertation describe a framework that is generalizable to other startups and other parts of this dissertation are specific to developing bike helmets. Failure rates in entrepreneurship can often be between 30 to 75%. In addition, there are examples in motorcycling, football, and bicycling where companies are only designing and developing personal protective equipment (PPE) to the industry standard with little or no consideration for other relevant injury biomechanics. In response, this dissertation explores a series of product development methodologies, in a manner that is grounded in qualitative research, with the goal of improving safety for the rider and reducing the risk of failure for launching a new venture. The first principles approach described in this dissertation begins with Customer Discovery which is a process of conducting interviews with key stakeholders, in order to challenge and support evolving hypothesis about a potential new venture. The process begins with deconstructing an initial idea into product, market, and customer risk hypotheses. Next, a process for creating and organizing questions, conducting problem interviews, and pivoting is described. During the problem interviews I found a Severe Problem of bicycle helmet fit for US Bike Parents. Then, I examined other aspects for identifying if an opportunity is worth pursuing, namely finding a gap in the marketplace, and observing industry trends. After conducting the problem interviews, I developed and conducted brainstorming sessions with participants who experienced the Severe Problem. The goal for conducting the brainstorming sessions was to dislodge entrenched product ideas, explore the solution landscape, and find a solution that solved the problem the best and was the best opportunity for commercialization. For this dissertation I determined that a custom fit, 3D printed bicycle helmet was an appropriate solution. Next, I developed and conducted solution interviews to determine if the solution solved the participants problem, identify additional product features, and explore various pricing strategies. Once a product brief was created, the next step was product development. Product development can have many variables which can affect how a new venture team should approach development. For this dissertation initial product development began with designing (ideating), printing (prototyping), and impact testing (testing) 3D printed mesostructures. However, during development the strategy was adjusted in response to production issues (iterating). Now that some initial product development was underway, the next step for a first principles approach includes a critical reflection on different aspects of the new venture. A critical reflection can include a feasibility analysis, which is a formative assessment of the potential new venture, an assessment of Customer Discovery, and the application of the Abstraction Ladder to evaluate the problem driving product development. For this dissertation, a critical reflection also included an evaluation of other product development methodologies, as well as continued application of the Abstraction Ladder to direct the critical evaluation of other foundational elements that relate to bicycle helmets and safety.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,087

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,003
Études des sciences et des technologies0,0060,032
Communication savante0,0130,010
Science ouverte0,0030,009
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,0110,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,237
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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