Data Analytics, Innovation, and Firm Productivity

By Lynn Wu, Lorin M. Hitt, Bowen Lou. Management Sciences, 2020

300 citations recorded by the source corpus.

We examine the relationship between data analytics capabilities and innovation using detailed firm-level data. To measure innovation, we first utilize a survey to capture two types of firm practice...

Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/9d2792d5512177c8b80c9a395ae12056d9a019b1

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. Qian Huang
2. Hefu Liu

In Management Science and Operations Research

1. Qian Huang
2. Hefu Liu

In Strategy and Management

1. Qian Huang
2. Hefu Liu

Citations in the corpus

• Natural language processing (NLP) in management research: A literature review (2020, background): “…researchers have proven that the capabilities of data analytics have contributed to firms’ innovation, a finding that has been classified as process improvement and new technology improvement, or centralized innovation and decentralized innovation (Wu, Hitt, & Lou, 2019; Wu, Lou, & Hitt, 2019).”