This study provides a systematic overview of innovation research strands revolving around
AI. By adopting a Systematic Quantitative Literature Review (SQLR) approach, we retrieved …

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 …

Instagram is a leading social network for information sharing and communication. Rigorous
studies are missing that leverage bibliometric techniques to comprehensively portray the …

Conversational agents are systems with human‐like features that can be deployed in
service settings and are fast emerging as the future of online commerce. Considering the …

The data-centric revolution generally celebrates the proliferation of business analytics and
AI in exploiting firm's potential and success. However, there is a lack of research on how the …

The COVID-19 pandemic has forced the education sector to adapt rapidly to online and
blended learning modes. This systematic literature review examines the impact of the …

Businesses use sentiment analysis for market insights to improve performance. Sentiment
analysis application in building a smart society is immense, and there is a need to delineate …

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is
needed in different elements of operations management (OM) such as manufacturing …

Big data analytics (BDA) have the power to revolutionize traditional ways of doing business.
Nevertheless, the impact of BDA capabilities on a firm's performance is still not fully …