The role of digital innovation in knowledge management systems: A systematic literature review

A Di Vaio, R Palladino, A Pezzi, DE Kalisz - Journal of business research, 2021 - Elsevier
This article investigates the literary corpus on digital innovation in knowledge management
systems (KMS) to understand its role in business governance. The study introduces a broad …

Understanding the interplay of artificial intelligence and strategic management: four decades of research in review

C Keding - Management Review Quarterly, 2021 - Springer
As artificial intelligence (AI) is enabling the automation of many facets of management and is
increasingly used in a wide range of strategic tasks, it is necessary to better understand its …

[HTML][HTML] Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?

D Horváth, RZ Szabó - Technological forecasting and social change, 2019 - Elsevier
Abstract The Fourth Industrial Revolution poses significant challenges to manufacturing
companies from the technological, organizational and management points of view. This …

Big data and firm marketing performance: Findings from knowledge-based view

S Gupta, T Justy, S Kamboj, A Kumar… - … Forecasting and Social …, 2021 - Elsevier
A universal trend in advanced manufacturing countries is defining Industry 4.0, industrialized
internet and future factories as a recent wave, which may transform the production and its …

[HTML][HTML] Implementing industry 4.0 in the manufacturing sector: Circular economy as a societal solution

A Upadhyay, KC Balodi, F Naz, M Di Nardo… - Computers & Industrial …, 2023 - Elsevier
The fourth industrial revolution, Industry 4.0 (I4. 0), has disrupted the notions of economic
transactions, value generation and appropriation to become a central interest among …

[HTML][HTML] The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions

AS Patrucco, G Marzi, D Trabucchi - Technovation, 2023 - Elsevier
Big data analytics (BDA) is widely used in sales, marketing, distribution, and finance;
however, its implementation in supply chain management, specifically in purchasing and …

DECAS: a modern data-driven decision theory for big data and analytics

N Elgendy, A Elragal, T Päivärinta - Journal of Decision Systems, 2022 - Taylor & Francis
Decisions continue to be important to researchers, organizations and societies. However,
decision research requires re-orientation to attain the future of data-driven decision making …

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 …

Big data contributions to human resource management: a systematic review

J Garcia-Arroyo, A Osca - The International Journal of Human …, 2021 - Taylor & Francis
Big Data (BD) has become a valuable resource for companies. Publications on BD have
grown enormously but scholarly work is scarce. The present review aims to systematise the …

Possible negative effects of big data on decision quality in firms: The role of knowledge hiding behaviours

M Ghasemaghaei, O Turel - Information Systems Journal, 2021 - Wiley Online Library
While common wisdom suggests that big data facilitates better decisions, we posit that it may
not always be the case, as big data aspects can also afford and motivate knowledge hiding …