Buying live vs online - Case: art and antiques auction

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Raatikainen, Joel
dc.date.accessioned 2016-08-16T11:35:52Z
dc.date.available 2016-08-16T11:35:52Z
dc.date.issued 2015
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/21380
dc.description.abstract Multichannel customer management and consumer behavior have previously been studied in conventional retail environment, where products are usually homogeneous. Multichannel customer management is about using more than one channel, such as brick-and-mortar store, telephone or the Internet to manage customers in a consistent and coordinated way. This thesis takes a previously unexplored view to the topic by studying it in the context of an art and antiques auction. Not only is there a difference between auctions and fixed price trade as transaction mechanisms, but also between the commodities sold in art and antiques auctions and conventional retail stores. Items sold at this kind of auctions tend to be unique. Art above all other product categories is most prone to uncertainty concerning authenticity especially when sold online. The purpose of this study is to identify customer groups of a private art and antiques auction house based on customers' previous purchase behavior that is related to their individual psychographic and demographic profiles. The auction house organizes auctions both live and online. Identifying customer groups is one of the primary issues in multichannel customer management. By identifying these groups and understanding their characteristics, companies can design their channels better and target marketing more efficiently. In addition to previously studied psychographics, an additional psychographic is included to measure customer trust in online shopping. Trust is a particularly significant factor in the uncertain environment of electronic commerce. Its role is even more enhanced in the art and antiques market. An online questionnaire was used for data collection. Principal components analysis was conducted to find a smaller number of underlying psychographic variables. Customers were grouped with k-means clustering based on the number of purchases they had made live and online since both channels had been simultaneously available. Cross tabulations were conducted to study the relationship between the identified groups and demographics. Finally, a multinomial logistic regression was used to answer the main research question of how the customers' psychographic profiles relate to their purchase channel orientation. In other words, the relationship between cluster membership and the principal components derived from factor analysis was studied. As a final result, four distinctive customer groups, which all differ in their purchase channel orientation, were identified. In addition, a few significant psychographics were found to predict channel orientation. Surprisingly, the impact of these psychographics turned out to be the opposite in most cases. Of the demographics, only gender distribution differed between the identified groups. The more involved customers were with the auction house and the more they had purchased in live auctions, the more likely they were males. The results proved once again to be very different from previous studies, where customers' individual differences were used to identify clearly defined customer groups. They show that the outcome for identified groups depends on the context and variables used in the study. en
dc.format.extent 51
dc.language.iso en en
dc.title Buying live vs online - Case: art and antiques auction en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Kauppakorkeakoulu fi
dc.contributor.school School of Business en
dc.contributor.department Markkinoinnin laitos fi
dc.contributor.department Department of Marketing en
dc.subject.keyword multichannel customer management
dc.subject.keyword trust
dc.subject.keyword auction
dc.subject.keyword art
dc.subject.keyword antiques
dc.subject.keyword consumer behavior
dc.identifier.urn URN:NBN:fi:aalto-201609083594
dc.type.dcmitype text en
dc.programme.major Markkinointi fi
dc.programme.major Marketing en
dc.type.ontasot Pro gradu tutkielma fi
dc.type.ontasot Master's thesis en
dc.subject.helecon markkinointi
dc.subject.helecon marketing
dc.subject.helecon kuluttajakäyttäytyminen
dc.subject.helecon consumer behaviour
dc.subject.helecon asiakashallinta
dc.subject.helecon customer relationship management
dc.subject.helecon vähittäiskauppa
dc.subject.helecon retail trade
dc.subject.helecon e-business
dc.subject.helecon e-business
dc.subject.helecon huutokaupat
dc.subject.helecon auctions
dc.subject.helecon taide
dc.subject.helecon arts
dc.subject.helecon kulttuurijohtaminen
dc.subject.helecon arts management
dc.ethesisid 14558
dc.date.dateaccepted 2015-04-28
dc.location P1 I


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