Abstract

There is a rich set of literature related to Information Technology (IT) innovation and adoption theory. There is also a need to revisit and update these theories in order to meet today’s challenges of business intelligence and big data analytics. In this context, artificial intelligence (AI) and machine learning (ML) play important roles in connecting business to customers, processes and technologies creating a mesh of integrated and interconnected advanced systems that are not only able to sense the environment, but also learn, predict, adapt and potentially operate autonomously (Panetta, 2016). In this study, we propose a model that integrates the emergent Mesh technology with Unified Theory of Acceptance and Use of Technology to meet challenges of today’s business analytics and technology adoption strategies. The adoption of digital mesh technology will be investigated among users who use mesh technology such as conversational systems, mesh app and mesh service for their business purposes.

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Intelligent Digital Mesh Adoption for Big Data

There is a rich set of literature related to Information Technology (IT) innovation and adoption theory. There is also a need to revisit and update these theories in order to meet today’s challenges of business intelligence and big data analytics. In this context, artificial intelligence (AI) and machine learning (ML) play important roles in connecting business to customers, processes and technologies creating a mesh of integrated and interconnected advanced systems that are not only able to sense the environment, but also learn, predict, adapt and potentially operate autonomously (Panetta, 2016). In this study, we propose a model that integrates the emergent Mesh technology with Unified Theory of Acceptance and Use of Technology to meet challenges of today’s business analytics and technology adoption strategies. The adoption of digital mesh technology will be investigated among users who use mesh technology such as conversational systems, mesh app and mesh service for their business purposes.