MétaCan
Menu
Retour à la cohorte
Enregistrement W3013304313 · doi:10.20429/amtp.2016.39

Impact of Personal Beliefs in Business-to-Business Buyer Decisions

2016· article· en· W3013304313 sur OpenAlexaboutno aff
Doreen Sams, Joe Schwartz, Ron Smith

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueTechnology Adoption and User Behaviour
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBusinessMarketing

Résumé

récupéré en direct d'OpenAlex

For school transportation buyers, who have depended on diesel for decades, gaining knowledge of complex and dynamic information is complicated by the growing number of alternative fuel vehicles. As with a number of business purchases, school bus acquisitions represent a major expense for school districts. It a multi-faceted decision and is typically made by a group of influencers who weigh the various alternatives and have extensive input in the purchase process. As would be expected from a process of this nature there are many elements that are considered such as product cost, safety, reliability, maintenance costs, and anticipated fuel expenditures. As with many B2B decisions the general assumption, both by the bus companies and the school districts, is that while each district has different goals, price points, and expectations, these purchases follow a basic model of economic utility. The purchase that is expected is the one in which utility is maximized and cost is minimized. However, psychological ownership implications have the potential to help practitioners in understanding and predicting the important dimensions of customer value in the business-to-business context that influence the purchase decision. Therefore, a survey study was conducted that examined the importance of a variety of elements of the purchase decision with a clear sub-focus on sustainability as well as some demographic and psychographic questions. Individuals listed in two industry databases were contacted with an invitation to take the survey. Of those individuals 498 USA and Canadian school bus decision-makers and influencers responded. The primary relationship that was of interest was whether personal interest in sustainability and alternative fuel vehicles altered perceptions or behavior in the business decisions of the respondents (H1: Owners of hybrid vehicles will be more likely to purchase alternative fuel buses.) The hypothesis was supported. An implication for academicians from the study is that for Business-to-Business (B2B) purchasing individual perspectives of those carrying out policies have a significant influence on purchase decisions. Furthermore, from the study it can be seen that individuals in the buying center add value to economic theory of rational choice by bringing their personal knowledge to the buying center decision. While this has been accepted as a major aspect of individual decision making, it implies a much stronger weight to the psychological aspects of purchase in B2B decision than is currently accepted in modeling B2B buyer behavior. For practitioners, this study shows that it is very important for salespersons to know the personal driving habits of the buyers in a group as their behavior weighs on their interpretation of the benefits of other alternative fuel products in B2B setting. Alternately, if an influencer is not an alternative fuel owner then it will be much more difficult to make the argument for conversion to an alternative fuel bus fleet. In summation, because buying centers are made up of people with varying roles, previous knowledge from personal experience could impact final decisions. This knowledge of a gap and the personal experience with similar products provide just the opportunity needed to adjust the marketing mix needed to make the sale.

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)0,004
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,022
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0030,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,128
Tête enseignante GPT0,420
Écart entre enseignants0,291 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetTechnology Adoption and User BehaviourTravaux en français237 207