Extended acceptance models for recommender system adaption, case of retail and banking service in Iran
Part of : WSEAS transactions on business and economics ; Vol.5, No.5, 2008, pages 189-200
Issue:
Pages:
189-200
Abstract:
Rise of ecommerce, which followed by Internet, has created some complexities in most industries.To overcome the information overload for Internet users, several Recommender Systems (RS) have beendeveloped. RS is a kind of automated and sophisticated decision support system by monitoring the past actionsof a group of customers to make a recommendation to individual members of the group to mitigate the problemof vast product and service information. The main issue is adoption and implementation of RS to make itsuitable for society and avoid wasting time, energy and cost. Therefore, we compare several models ofacceptance and introduce the critical and main parameters of a proper acceptance model for the product andservice, which guarantee the result of RS employment. Two independent acceptance models with questionnairewill be derived for the retail and banking service industry, localized for Iran’s product and service context as atool to measure customer’s intention to adopt an RS. To verify the validity of the parameters and selectedmodels, two questioners are run. The statistical information and numerical result from LISREL presents thevalidity of the proposed extended TPB and TAM model for the retail and banking service context, respectively.
Subject:
Subject (LC):
Keywords:
e-commerce, recommender system, adoption, retail, service, TPB, TAM
Notes:
Περιέχει γραφήματα, πίνακες και βιβλιογραφία
