[HTML][HTML] Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions
MM Mariani, I Machado, V Magrelli, YK Dwivedi - Technovation, 2023 - Elsevier
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is
ever more reflected in scholarly work. To illustrate, assess and map research at the …
ever more reflected in scholarly work. To illustrate, assess and map research at the …
Ethical framework for Artificial Intelligence and Digital technologies
Abstract The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a
profound socio-technical transformation. Governments and AI scholarship have endorsed …
profound socio-technical transformation. Governments and AI scholarship have endorsed …
COVID-19 pandemic digitization lessons for sustainable development of micro-and small-enterprises
Abstract The coronavirus (COVID-19) pandemic has undeniably influenced the global
economy and environment. Major victims of the COVID-19 outbreak are Micro and Small …
economy and environment. Major victims of the COVID-19 outbreak are Micro and Small …
How digital platform capabilities improve sustainable innovation performance of firms: The mediating role of open innovation
Despite growing research interests in digital platform-based innovation, the existing
literature has largely focused on the role of digital platform capabilities in improving …
literature has largely focused on the role of digital platform capabilities in improving …
[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review
The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …
managerial practice thanks to the benefits it can produce in terms of innovation. However …
[HTML][HTML] Algorithmic bias in machine learning-based marketing models
S Akter, YK Dwivedi, S Sajib, K Biswas… - Journal of Business …, 2022 - Elsevier
This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …
Although the dramatic growth of algorithmic decision making continues to gain momentum in …
[HTML][HTML] Conversational commerce: entering the next stage of AI-powered digital assistants
J Balakrishnan, YK Dwivedi - Annals of Operations Research, 2024 - Springer
Digital assistant is a recent advancement benefited through data-driven innovation. Though
digital assistants have become an integral member of user conversations, but there is no …
digital assistants have become an integral member of user conversations, but there is no …
Reinforcing customer journey through artificial intelligence: a review and research agenda
Purpose This study defines a three-angled research plan to intensify the knowledge and
development undergoing in the retail sector. It proposes a theoretical framework of the …
development undergoing in the retail sector. It proposes a theoretical framework of the …
Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance
S Bag, MS Rahman, G Srivastava, A Shore… - … Forecasting and Social …, 2023 - Elsevier
In the real world of practice, data-driven supply chains have gained huge popularity in
recent years. This has led operations and supply management researchers to the focus on …
recent years. This has led operations and supply management researchers to the focus on …
[HTML][HTML] Digital innovation, data analytics, and supply chain resiliency: A bibliometric-based systematic literature review
In recent times, the literature has seen considerable growth in research at the intersection of
digital innovation, data analytics, and supply chain resilience. While the number of studies …
digital innovation, data analytics, and supply chain resilience. While the number of studies …