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Enregistrement W2064650866 · doi:10.1145/1646353.1646386

Designs for effective implementation of trust assurances in internet stores

2010· article· en· W2064650866 sur OpenAlexaff
Dong‐Min Kim, Izak Benbasat

Notice bibliographique

RevueCommunications of the ACM · 2010
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueTechnology Adoption and User Behaviour
Établissements canadiensUniversity of British ColumbiaUniversity of New Brunswick
Organismes subventionnairesnon disponible
Mots-clésThe InternetInternet privacyBusinessTrustworthinessHackerComputer securityCredit cardComputer scienceNothingWorld Wide WebFinance

Résumé

récupéré en direct d'OpenAlex

Introduction Improving customer trust in an internet store is an important goal in B2C electronic commerce because it leads to outcomes important for the success of an Internet store, such as reduced customer risk perceptions in transacting with the store and increased willingness to buy from the store. Therefore, one of the critical success factors for Internet stores is to convince customers of the store's trustworthiness, which refers to a set of customers' beliefs regarding the ability, integrity, and benevolence of the online merchant. One mechanism by which such perceptions of trustworthiness on the part of stores can be established is to provide trust assurances on a store's Web site. Trust assurance refers to "a claim and its supporting statements used in an Internet store to address trust-related concerns." An example of trust assurance statements found in internet stores is: We are so confident in our security that we guarantee you'll pay nothing if unauthorized charges are made to your credit card as a result of shopping at circuitcity.com." (Excerpted from a checkout page of www.circuitcity.com) Trust assurances can be provided by an Internet store itself, by customers, or by a third party organization. For example, Simplycheap.com, shown in Figure 1, displays both a store's self-proclaimed assurance (such as "safe shopping our security guarantee") and a third-party assurance (such as Hacker Safe). In this article, we first review finding in previous studies regarding trust assurance. Then we provide a snapshot regarding how often Internet stores use trust assurances and what concerns are addressed in such trust assurances by reporting current usage of trust assurances based on observations of 85 Internet stores. We expect that this snapshot will help business managers to understand how other companies use trust assurances. Second, we suggest two design guidelines for effective implementation of trust assurances for Web developers. Before reporting our findings based on observations from 85 Internet stores, we briefly review the findings of several previous studies regarding trust assurances. First, many studies have reported that displaying trust assurances increases the trustworthiness of an Internet store. A store's own assurance enhances the trustworthiness of an Internet store if they are well-structured. Third-party assurances (or trustmarks), such as TRUSTe and BBBOnLine seals positively influence the favorableness of a store's privacy policies, and are more influential in improving a firm's trustworthiness than a rating by Consumer Reports magazine is. Among third-party assurances, the WebTrust seal appeared to be more influential than BBBOnLine when people chose a vendor. Interestingly, third-party assurances were not considered as important as "security features," such as SET (Secure Electronic Transaction), SSL (Secure Sockets Layer), and a lock symbol, in customer's decisions to buy on the World Wide Web. Second, detailed design/ usability guidelines for building a Web site are already available. For example, best practices in Interaction Design can be accessed at van Welie's Web site (http://www.welie.com/patterns/). In respect to specific implementations of trust assurances, ease of access to assurances was suggested as one of several design considerations. For example, van Duyne et al. suggested that Internet stores needed to make their privacy policy available on each of their Web pages. The finding that only 54% of licensees of the top 500 Internet consumer Web sites display their privacy seal of approval information on both their home and privacy pages indicates that the other 46% has room to improve their customers' ease of access to trust assurances. In this study, based on van Duyne et al. we examine ease of access to trust assurances. In addition, we examine the application of ease of return to the original checkout screen that customer was working on before accessing trust assurances which is important for customers to easily complete the checkout process. These two implementation issues (for example, ease of access and ease of return) are examined in the assurance delivery modes section.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Science ouverte
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 enseignants0,088
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0140,003
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,189
Tête enseignante GPT0,482
Écart entre enseignants0,293 · 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 tête enseignante, pas un consensus.

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

Citations31
Publié2010
Routes d'admission1
Résumé présentoui

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