Showing papers by "Christian Matt published in 2014"
17 Jul 2014
TL;DR: This article is also available in German in print and via http://www.wirtschaftsinformatik.de .
Abstract: This article is also available in German in print and via http://www.wirtschaftsinformatik.de : Hess T, Legner C, Esswein W, Maas W, Matt C, Osterle H, Schlieter H, Richter P, Zarnekow R (2014) Digital Life als Thema der Wirtschaftsinformatik? WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-014-0422-6 .
26 citations
Proceedings Article•
01 Jan 2014
TL;DR: In this article, the effects of consumers' perceived levels of recommendation novelty and serendipity on perceived preference fit and enjoyment were analyzed and it was shown that recommending more novel items leads to higher perceived preference fitting and enjoyment, while providing unconventional items increases risks of not meeting users' taste.
Abstract: Recommender systems aim to support consumers in identifying the most
relevant items. However, there are concerns that recommenders may
imprison users in a “filter bubble” by recommending items predominantly
known to users. On the other hand, providing unconventional items
increases risks of not meeting users’ taste. Given this trade-off, we analyze
the effects of consumers’ perceived levels of recommendation novelty and
serendipity on perceived preference fit and enjoyment. We find that merely
increasing the level of novel recommendations is insufficient. Instead,
recommenders should provide more serendipitous recommendations as
this leads to higher perceived preference fit and enjoyment. In addition,
market and recommender technology characteristics need to be taken into
account as they partially determine the level of novel and serendipitous
recommendations. Our findings have significant implications for research
as they add additional insights on users’ evaluations of recommender
systems. For practice, our results enable online retailers to develop better
recommenders.
23 citations
Posted Content•
TL;DR: In this paper, the effects of consumers' perceived levels of recommendation novelty and serendipity on perceived preference fit and enjoyment were analyzed and it was shown that recommending more novel items leads to higher perceived preference fitting and enjoyment, while providing unconventional items increases risks of not meeting users' taste.
Abstract: Recommender systems aim to support consumers in identifying the most
relevant items. However, there are concerns that recommenders may
imprison users in a “filter bubble” by recommending items predominantly
known to users. On the other hand, providing unconventional items
increases risks of not meeting users’ taste. Given this trade-off, we analyze
the effects of consumers’ perceived levels of recommendation novelty and
serendipity on perceived preference fit and enjoyment. We find that merely
increasing the level of novel recommendations is insufficient. Instead,
recommenders should provide more serendipitous recommendations as
this leads to higher perceived preference fit and enjoyment. In addition,
market and recommender technology characteristics need to be taken into
account as they partially determine the level of novel and serendipitous
recommendations. Our findings have significant implications for research
as they add additional insights on users’ evaluations of recommender
systems. For practice, our results enable online retailers to develop better
recommenders.
15 citations
2 citations