Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda

S Bresciani, F Ciampi, F Meli, A Ferraris - International Journal of …, 2021 - Elsevier
This is the first systematic literature review concerning the interconnections between big
data (BD) and co-innovation. It uses BD as a common perspective of analysis as well as a …

[HTML][HTML] From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of …

M Tang, H Liao - Omega, 2021 - Elsevier
Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

[HTML][HTML] Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing

O Rodríguez-Espíndola, S Chowdhury, PK Dey… - … Forecasting and Social …, 2022 - Elsevier
Abstract The Industry 4.0 (I4. 0) revolution has led to rapid digital transformation, automation
of manufacturing processes and efficient decision-making in business operations. Despite …

Expertise-structure and risk-appetite-integrated two-tiered collective opinion generation framework for large-scale group decision making

ZS Chen, X Zhang, RM Rodríguez… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The generation of collective preference assessments occupies a critical position in deriving
accurate and reliable alternative rankings in the context of large-scale group decision …

Evaluating the impact of big data analytics usage on the decision-making quality of organizations

L Li, J Lin, Y Ouyang, XR Luo - Technological Forecasting and Social …, 2022 - Elsevier
Big data initiatives are critical for transforming traditional organizational decision making into
data-driven decision making. However, prior information systems research has not paid …

Increasing firm agility through the use of data analytics: The role of fit

M Ghasemaghaei, K Hassanein, O Turel - Decision Support Systems, 2017 - Elsevier
Agility, which refers to a dynamic capability within firms to identify and effectively respond to
threats and opportunities with speed, is considered as a main business imperative in …

[HTML][HTML] Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis

JP Hausberg, K Liere-Netheler, S Packmohr… - Journal of Business …, 2019 - Springer
Digital transformation (DT) has become a buzzword, triggering different disciplines in
research and influencing practice, which leads to independent research streams. Scholars …

Disaster resilience through big data: Way to environmental sustainability

MNI Sarker, Y Peng, C Yiran, RC Shouse - International Journal of Disaster …, 2020 - Elsevier
Disaster management is a growing concern and priority throughout the world and
“resilience” is increasingly viewed as a key capacity related to disaster and post-disaster …

Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency

M Ghasemaghaei - Decision Support Systems, 2019 - Elsevier
Despite the huge investment in data analytics tools, the necessary conditions required to
obtain benefit from such investment deserves close investigation. In this study we utilize the …

Can big data improve firm decision quality? The role of data quality and data diagnosticity

M Ghasemaghaei, G Calic - Decision Support Systems, 2019 - Elsevier
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of
generated data, and the fast velocity of obtaining data (ie, big data), quality of big data is far …