Exploring the Value of Data - A Research Agenda

被引：4

作者：

Enders, Tobias ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Karlsruhe, Germany

来源：

EXPLORING SERVICE SCIENCE | 2018年 / 331卷

关键词：

Big data; Data value; Analytics; BIG DATA; BUSINESS ANALYTICS; INFORMATION; MANAGEMENT; FRAMEWORK; SYSTEMS;

D O I：

10.1007/978-3-030-00713-3_21

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Big data has been a technological quantum leap in recent years. Organizations are provided the opportunity to leverage this data by applying analytics to derive competitive advantages and increase operational efficiencies. However, the amount of value that is hidden within a set of data can often only be determined when used in a particular context. Being able to determine the value of their data assets as such is an even greater challenge for organizations. We conducted a structured literature review and identified three clusters of discussion in IS literature that address the value of data form different perspectives. Based on this review and the literature gap identified, we propose a research agenda to (1) identify the factors that influence the value of data, (2) cluster data according to value, (3) develop value-based data governance guidelines, and (4) quantify the value contribution of a single data source.

引用

页码：274 / 286

页数：13

共 53 条

[1] Everything counts in large amounts: a critical realist case study on data-based production [J].