[HTML][HTML] How can we manage biases in artificial intelligence systems–A systematic literature review
PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …
perform human tasks. However, AI encounters a variety of biases during its operational …
A framework for AI-powered service innovation capability: Review and agenda for future research
Artificial intelligence (AI)-powered service innovation (eg, OpenAI's ChatGPT, Google's Bard
and Microsoft's Sydney) has become one of the most significant determinants of firms' …
and Microsoft's Sydney) has become one of the most significant determinants of firms' …
Algorithmic bias in data-driven innovation in the age of AI
Data-driven innovation (DDI) gains its prominence due to its potential to transform
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …
innovation in the age of AI. Digital giants Amazon, Alibaba, Google, Apple, and Facebook …
[HTML][HTML] Competitive advantage: A longitudinal analysis of the roles of data-driven innovation capabilities, marketing agility, and market turbulence
OA Alghamdi, G Agag - Journal of Retailing and Consumer Services, 2024 - Elsevier
While data-driven innovation capabilities have received considerable attention from
academics and practitioners, there is insufficient longitudinal evidence on how they might …
academics and practitioners, there is insufficient longitudinal evidence on how they might …
[HTML][HTML] Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical …
Supply chain resilience (SCRes) and performance have become increasingly important in
the wake of the recent supply chain disruptions caused by subsequent pandemics and …
the wake of the recent supply chain disruptions caused by subsequent pandemics and …
[HTML][HTML] Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing
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 …
of manufacturing processes and efficient decision-making in business operations. Despite …
Cloud-based accounting information systems usage and its impact on Jordanian SMEs' performance: the post-COVID-19 perspective
Purpose The purpose of this study is to examine the factors influencing the usage of cloud-
based accounting information systems (AIS) in the crisis era (ie the COVID-19 pandemic) by …
based accounting information systems (AIS) in the crisis era (ie the COVID-19 pandemic) by …
Blockchain security attacks, challenges, and solutions for the future distributed iot network
Blockchain technology is becoming increasingly attractive to the next generation, as it is
uniquely suited to the information era. Blockchain technology can also be applied to the …
uniquely suited to the information era. Blockchain technology can also be applied to the …
Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework
Blockchain technology is a ground breaking disruptive technology in production and
logistics systems. However, how it affects logistics and production over the past years as …
logistics systems. However, how it affects logistics and production over the past years as …
Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis
This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to
dynamically react to volatile environments, and alleviate potentially costly decision-makings …
dynamically react to volatile environments, and alleviate potentially costly decision-makings …