Artificial intelligence and corporate innovation: A review and research agenda
Artificial Intelligence (AI) induce corporates to re-design their innovation process. Due to
rapid technological development, synchronization of information systems, and …
rapid technological development, synchronization of information systems, and …
Using big data for generating firm-level innovation indicators-a literature review
Obtaining indicators on the innovation activities of firms has been a challenge in economic
research for a long time. The most frequently used indicators-R&D expenditures and patents …
research for a long time. The most frequently used indicators-R&D expenditures and patents …
Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?
J Axenbeck, P Breithaupt - PloS one, 2021 - journals.plos.org
Web-based innovation indicators may provide new insights into firm-level innovation
activities. However, little is known yet about the accuracy and relevance of web-based …
activities. However, little is known yet about the accuracy and relevance of web-based …
[PDF][PDF] The Innovation-Productivity Paradox
R Ortega-Argiles, P McCann - Background Paper for the OECD-EC High …, 2021 - oecd.org
When we examine the relationships between innovation and productivity, we see many
paradoxical features. In general, we know that innovation fosters productivity growth …
paradoxical features. In general, we know that innovation fosters productivity growth …
Are you resilient? Machine learning prediction of corporate rebound out of the Covid‐19 pandemic
J Bughin - Managerial and Decision Economics, 2023 - Wiley Online Library
We use the Covid‐19 crisis to assess how four capability domains that traditionally support
corporate performance (agility, innovation, ecosystem play and digitization) can also predict …
corporate performance (agility, innovation, ecosystem play and digitization) can also predict …
Exploring firms' innovation capabilities through learning systems
In this study, several machine learning-based experimental methods are used to analyse
firms' research and development (R&D)-related activities and predict their technological …
firms' research and development (R&D)-related activities and predict their technological …
[PDF][PDF] Dynamics of changes in competencies required in the labour market for data analyst and business analyst professions in Russia
There is an escalating demand for highly skilled professionals in digital analysis in Russia
heightened by the COVID-19 pandemic and the onset of the special military operation in …
heightened by the COVID-19 pandemic and the onset of the special military operation in …
Web-Based Innovation Indicators–Which Firm Website Characteristics Relate to Firm-Level Innovation Activity?
J Axenbeck, P Breithaupt - ZEW-Centre for European Economic …, 2019 - papers.ssrn.com
Web-based innovation indicators may provide new insights into firm-level innovation
activities. However, little is known yet about the accuracy and relevance of web-based …
activities. However, little is known yet about the accuracy and relevance of web-based …
Addressing the productivity paradox with big data:: A literature review and adaptation of the CDM econometric model
This paper develops the plan for the econometric estimations concerning the relationship
between firm productivity and the specifics of the innovation process. The paper consists of …
between firm productivity and the specifics of the innovation process. The paper consists of …
Essays on Technological Change and its Environmental Impacts
J Axenbeck - 2023 - jlupub.ub.uni-giessen.de
Given the climate crisis and the sharp rise in energy costs, discussions on the potential of
new technologies to reduce energy consumption and mitigate environmental damage are …
new technologies to reduce energy consumption and mitigate environmental damage are …