How Big Data Analytics Enables Service Innovation: Materiality, Affordance, and the Individualization of Service

By Christiane Lehrer, Alexander Wieneke, Jan vom Brocke, Reinhard Jung, Stefan Seidel. Journal of Management Information Systems, 2018

335 citations recorded by the source corpus.

Subfields: Management Information Systems, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0b1dc6b2ebf40ab6d032e92a55e6af3991306c6a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Goran Calic
2. Luying Xu
3. Maryam Ghasemaghaei
4. Lei Guo

In Marketing

1. Luying Xu
2. Lei Guo

In Sociology and Political Science

1. Luying Xu
2. Maryam Ghasemaghaei
3. Lei Guo
4. Goran Calic

Citations in the corpus

• Assessing the impact of big data on firm innovation performance: Big data is not always better data (2020, background): “In fact, big data has changed the capabilities firms need to successfully perform (Lehrer, Wieneke, vom Brocke, Jung, & Seidel, 2018).”
• The Effects of Digital Transformation on Firm Performance: Evidence from China’s Manufacturing Sector (2021, background): “Many studies show that DT helps improve specific business processes, such as services [33], sales [34,35], and supply chains [36].”
• Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, neutral): “…2018), personalization of offered marketing approaches and services (Buettner, 2017; Xu, Frankwick, & Ramirez, 2016), changes in client interfaces (Lehrer, Wieneke, vom Brocke, Jung, & Seidel, 2018), improved efficiency in supply chain management methods (Waller & Fawcett, 2013), as well as…”