Narrow Results

The value of different kinds of book information in electronic retail is measured using best–worst scaling, an approach making the respondent consider several information items simultaneously and choose the most and least preferred among them. Our respondents are both customers using municipal libraries and students. Theory on digital nativity, Hierarchical Bayes estimation and Latent Class analysis are used to study the heterogeneity of the preferences. Customer reviews give the most valuable information on an average. Especially digital immigrants rely more on samples, expert reviews, author presentations, blogs, and friends’ ratings. Preference clusters were identified where the extremes groups were those who highly valued peer information but not expert information and those who valued them vice versa. Customer reviews are appreciated by almost everyone, regardless of their state of digital nativity. The electronic retailer should make all efforts to provide the personalized information when the customer is browsing books online and offer a rich set of customer reviews.

In recent years, compared with real assets, the research on data assets in Internet service enterprises is still in a very primitive stage, and there are still many challenges in the evaluation of data assets. As an emerging industry, China’s Internet service industry is still in the early stage of development, which is not mature and stable enough. It faces great challenges in asset evaluation, and there is not a fair and suitable data asset evaluation system, which makes it difficult for Internet service companies to measure and estimate the value of data assets. This paper is going to enrich the related theories of the use of data information processing models and data asset value measurement for Internet service enterprises. It discussed present data asset measurement methods and chose the multi-period excess return method for data asset value measurement and valuation. The research improved the multi-period excess return method and proved the importance of data asset valuation for Internet Service Enterprises, which can improve the development of data asset value measurement and valuation systems for Internet service enterprises.