Today, manufacturers are under pressure to manage their activities and resources more
efficiently while maximizing profitability. At the same time, they are required to minimize the …

Recent technological advances allow artificial intelligence (AI) to perform tasks that require
high warmth, such as caring, understanding others' feelings, and being friendly. However …

Product-as-a-service (PaaS) offerings have advantages and potential for transforming
societies to a circular economy and for improving environmental performance. Original …

The prevalence of the platform economy is rapidly increasing, primarily driven by the
incorporation of big data into the digital business environment. Big data contains substantial …

This study investigates the role of human intervention in artificial intelligence/machine
learning (AIML)-driven predictions. By doing so, we distinguish between three different types …

As predictive analytics increasingly applies supervised machine learning (SML) models to
inform mission-critical decision-making, adversaries become incentivized to exploit the …

Robots, which have mostly been effective in areas such as industrial, agricultural, and
production facilities, have started to take a place in the service sector, as their technologies …

From an interactionist perspective, we argue that what happens and how service is
delivered during the human-robot interaction may alter the extent to which customers accept …

Given that technical trading charts are publicly available on popular financial websites such
as Bloomberg and MarketWatch, it stands to reason that the same technical trading …

The use of machine learning technologies by the world's most profitable companies to
personalise their offerings is commonplace. However, not all companies using machine …