A review on innovation in healthcare sector (telehealth) through artificial intelligence

A Amjad, P Kordel, G Fernandes - Sustainability, 2023‏ - mdpi.com
Artificial intelligence (AI) has entered the mainstream as computing power has improved.
The healthcare industry is undergoing dramatic transformations at present. One of the most …

[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications

A Haleem, M Javaid, RP Singh, R Suman - Internet of Things and Cyber …, 2022‏ - Elsevier
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

Artificial intelligence in customer relationship management: literature review and future research directions

C Ledro, A Nosella, A Vinelli - Journal of Business & Industrial …, 2022‏ - emerald.com
Artificial intelligence in customer relationship management: literature review and future
research directions | Emerald Insight Books and journals Case studies Expert Briefings Open …

Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation

F Ciampi, S Demi, A Magrini, G Marzi, A Papa - Journal of Business …, 2021‏ - Elsevier
Abstract Big Data Analytics Capabilities (BDAC) represent critical tools for business
competitiveness in highly dynamic markets. In this connection, by leveraging on the …

Big data analytics adoption: Determinants and performances among small to medium-sized enterprises

P Maroufkhani, ML Tseng, M Iranmanesh… - International journal of …, 2020‏ - Elsevier
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …

A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

KYH Lim, P Zheng, CH Chen - Journal of Intelligent Manufacturing, 2020‏ - Springer
With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-
increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from …

Assessing the impact of big data on firm innovation performance: Big data is not always better data

M Ghasemaghaei, G Calic - Journal of business research, 2020‏ - Elsevier
In this study, we explore the impacts of big data's main characteristics (ie, volume, variety,
and velocity) on innovation performance (ie, innovation efficacy and efficiency), which …

Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility

H Li, Y Wu, D Cao, Y Wang - Journal of Business research, 2021‏ - Elsevier
Firms are increasingly transforming themselves into agile enterprise by integrating and
exploiting digital technologies. Prior research has suggested organization mindfulness …

Examining the determinants of successful adoption of data analytics in human resource management–A framework for implications

SV Shet, T Poddar, FW Samuel, YK Dwivedi - Journal of Business …, 2021‏ - Elsevier
Data analytics has gained importance in human resource management (HRM) for its ability
to provide insights based on data-driven decision-making processes. However, integrating …

Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities

P Mikalef, J Krogstie - European Journal of Information Systems, 2020‏ - Taylor & Francis
The potential of big data analytics in enabling improvements in business processes has
urged researchers and practitioners to understand if, and under what combination of …