title: Learning to trust e-tailers: Strategies used by consumers in a distrustful environment

authors: Friend, Lorraine A.

subjects: online shopping

abstract: This article draws on a phenomenological study of understanding six early adopters’
successful online shopping experiences. Narratives of their online purchasing experiences
suggest that learning to trust e-tailers is a complex process that is shaped by factors such
as self-identity, risk awareness, and technical and brand knowledge. This article
summarises the first part of the findings from this study – the strategies the six participants
used to gain trust with e-tailers to overcome their distrust of purchasing online. These
strategies included checking payment security, gaining product information, checking the
ordering process, using brand knowledge, asking friends for advice, using expert referrals,
and assessing website structure, functionality and image. The findings suggest that
technical and/or brand knowledge best explain the methods that these participants used to
trust e-tailers because it provided them with a greater sense of comfort to purchase online.
As with offline marketing contexts, this research suggests that credibility and benevolence
are two important underlying dimensions of online trust. However, due to the distrustful
environment of e-commerce, honesty may be an important separate dimension of online
trust.

text: Learning to trust e-tailers: Strategies used by consumers in a distrustful environment This article draws on a phenomenological study of understanding six early adopters’
successful online shopping experiences. Narratives of their online purchasing experiences
suggest that learning to trust e-tailers is a complex process that is shaped by factors such
as self-identity, risk awareness, and technical and brand knowledge. This article
summarises the first part of the findings from this study – the strategies the six participants
used to gain trust with e-tailers to overcome their distrust of purchasing online. These
strategies included checking payment security, gaining product information, checking the
ordering process, using brand knowledge, asking friends for advice, using expert referrals,
and assessing website structure, functionality and image. The findings suggest that
technical and/or brand knowledge best explain the methods that these participants used to
trust e-tailers because it provided them with a greater sense of comfort to purchase online.
As with offline marketing contexts, this research suggests that credibility and benevolence
are two important underlying dimensions of online trust. However, due to the distrustful
environment of e-commerce, honesty may be an important separate dimension of online
trust.

year: 2006

title: Visualizing class probability estimators

authors: Frank, Eibe

subjects: Science & Technology

abstract: Inducing classifiers that make accurate predictions on future data is a driving force for research in inductive learning. However, also of importance to the users is how to gain information from the models produced. Unfortunately, some of the most powerful inductive learning algorithms generate “black boxes”—that is, the representation of the model makes it virtually impossible to gain any insight into what has been learned. This paper presents a technique that can help the user understand why a classifier makes the predictions that it does by providing a two-dimensional visualization of its class probability estimates. It requires the classifier to generate class probabilities but most practical algorithms are able to do so (or can be modified to this end).

text: Visualizing class probability estimators Inducing classifiers that make accurate predictions on future data is a driving force for research in inductive learning. However, also of importance to the users is how to gain information from the models produced. Unfortunately, some of the most powerful inductive learning algorithms generate “black boxes”—that is, the representation of the model makes it virtually impossible to gain any insight into what has been learned. This paper presents a technique that can help the user understand why a classifier makes the predictions that it does by providing a two-dimensional visualization of its class probability estimates. It requires the classifier to generate class probabilities but most practical algorithms are able to do so (or can be modified to this end).

year: 2003-01-01

title: Ka Māpuna: Towards a rangatiratanga framework for the governance of waterways

authors: Martin, Betsan

abstract: Rangatiratanga is thenavigational courseforthis research, the aspiration that guides a frameworkfor thegovernance which, in respect ofwaterways and Te Taiao secures mauri, ecosystem health, and water for domestic and commercial use. Rangatiratanga encompasses mana whakahaeredecision-making throughout all relevantgovernance systems. In respect of resource governance, this needs to be achieved through mana whenua authorities and co-governance institutions and procedures.

text: Ka Māpuna: Towards a rangatiratanga framework for the governance of waterways Rangatiratanga is thenavigational courseforthis research, the aspiration that guides a frameworkfor thegovernance which, in respect ofwaterways and Te Taiao secures mauri, ecosystem health, and water for domestic and commercial use. Rangatiratanga encompasses mana whakahaeredecision-making throughout all relevantgovernance systems. In respect of resource governance, this needs to be achieved through mana whenua authorities and co-governance institutions and procedures.

year: 2021