[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 …

Ethical framework for Artificial Intelligence and Digital technologies

M Ashok, R Madan, A Joha, U Sivarajah - International Journal of …, 2022 - Elsevier
Abstract The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a
profound socio-technical transformation. Governments and AI scholarship have endorsed …

COVID-19 pandemic digitization lessons for sustainable development of micro-and small-enterprises

C Bai, M Quayson, J Sarkis - Sustainable production and consumption, 2021 - Elsevier
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 …

How digital platform capabilities improve sustainable innovation performance of firms: The mediating role of open innovation

N Wang, J Wan, Z Ma, Y Zhou, J Chen - Journal of Business Research, 2023 - Elsevier
Despite growing research interests in digital platform-based innovation, the existing
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

C Acciarini, F Cappa, P Boccardelli, R Oriani - Technovation, 2023 - Elsevier
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 …

[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 …

[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 …

Reinforcing customer journey through artificial intelligence: a review and research agenda

J Rana, L Gaur, G Singh, U Awan… - International Journal of …, 2022 - emerald.com
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 …

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 …

[HTML][HTML] Digital innovation, data analytics, and supply chain resiliency: A bibliometric-based systematic literature review

A Iftikhar, I Ali, A Arslan, S Tarba - Annals of Operations Research, 2024 - Springer
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 …