The Effects of Personalization on Purchase Intentions for Online News: An Experimental Study of Different Personalization Increments
2015
- 679Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage679
- Abstract Views366
- Downloads313
Article Description
The media industry has been struggling to create sustainable business models for news content in the digital era. While the collapse of the traditional business models can be largely attributed to the rise of information technology, it can also assist in creating new once. Technological advances allow online merchants to offer a variety of personalization features, enabling them to tailor their offerings ever more accurately to the needs and tastes of individual users. We have taken a systematic experimental approach using an online news aggregator to answer the question of how different levels of personalization can affect users’ intentions to pay for news content. Results show that only personalization features that allow the users to constantly adapt the content to their needs yield a significant increase in purchase intention. Furthermore, supplementary design personalization may even decrease users’ intentions to purchase. Results of a post-hoc study with industry experts confirm the practical contribution of our research, demonstrating that some of our key findings are counterintuitive to professionals. Our findings contribute to the literature on web personalization and media management by experimentally demonstrating the value-add of different levels of personalization and by revealing counterintuitive implications for the media industry.
Bibliographic Details
University of Münster, Münster, Germany
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