[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions

R Kaur, D Gabrijelčič, T Klobučar - Information Fusion, 2023 - Elsevier
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Managing entrepreneurs' behavior personalities in digital environments: A review

P González-Padilla, FD Navalpotro… - … and Management Journal, 2024 - Springer
During the present-day digitization, entrepreneurs can make use of the great connectivity
offered by the Internet. The digital entrepreneur is just a click away from any information …

[HTML][HTML] Exploring the boundaries of open innovation: Evidence from social media mining

JR Saura, D Palacios-Marqués, D Ribeiro-Soriano - Technovation, 2023 - Elsevier
Technological development of the last several decades has driven open innovation towards
organizational, business, social, and economic change. Open innovation has emerged as …

Leveraging blockchain technology for green innovation in ecosystem-based business models: a dynamic capability of values appropriation

T Chin, Y Shi, SK Singh, GK Agbanyo… - … Forecasting and Social …, 2022 - Elsevier
Stakeholders' pressure for environmental sustainability asks firms to develop ecosystem-
based business models (EBMs) driven by a disruptive technology that strategically …

[HTML][HTML] Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era

JR Saura, D Ribeiro-Soriano, PZ Saldaña - Journal of Business Research, 2022 - Elsevier
The boost in the use and development of technology, spurred by COVID-19 pandemic and
its consequences, has sped up the adoption of new technologies and digital platforms in …

[HTML][HTML] Assessing behavioral data science privacy issues in government artificial intelligence deployment

JR Saura, D Ribeiro-Soriano… - Government Information …, 2022 - Elsevier
In today's global culture where the Internet has established itself as the main tool for
communication and commerce, the capability to massively analyze and predict citizens' …

[PDF][PDF] RETRACTED ARTICLE: Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method

B Barbosa, JR Saura, SB Zekan… - Annals of Operations …, 2024 - bib.irb.hr
Content marketing involves producing and distributing content effectively and initially
through digital channels. However, digital marketing strategies and business models can …

[HTML][HTML] Impact of extreme weather in production economics: Extracting evidence from user-generated content

JR Saura, S Ribeiro-Navarrete… - International Journal of …, 2023 - Elsevier
The last decade has witnessed an increase in the number of extreme weather events
globally. In addition, the economic output around the world is at all-time high in terms of …

[HTML][HTML] Diabetes prediction model using data mining techniques

R Rastogi, M Bansal - Measurement: Sensors, 2023 - Elsevier
Diabetes is the leading cause of death in the world, and it also affects kidney disease, loss of
vision, and heart disease. Data mining techniques contribute to health care decisions for …

Developing metrics for emerging technologies: identification and assessment

M Zamani, H Yalcin, AB Naeini, G Zeba… - … forecasting and social …, 2022 - Elsevier
We analyze the field of emerging technologies using bibliographic techniques. The Web of
Science (WoS) citation database was used as an article retrieval tool in this study. To …