Based on recent developments in the field of artificial intelligence (AI), we examine what type of human labor will be a substitute versus a complement to emerging technologies. We argue that these recent developments reduce the costs of providing a particular set of tasks – prediction tasks....

We interpret recent developments in the field of artificial intelligence (AI) as improvements in prediction technology. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models of decision-making under uncertainty to account for the...

Recent artificial intelligence advances can be seen as improvements in prediction. We examine how such predictions should be priced. We model two inputs into decisions: a prediction of the state and the payoff or utility from different actions in that state. The payoff is unknown, and can only...

Establishing the applicability of multi-item measures is important for making valid inferences when testing theories cross-nationally. Typically, researchers have relied upon the tenets of classical measurement theory (CT) using confirmatory factor model invariance testing to conclude that a...

The extent to which service quality is linked to satisfaction, value and behavioural outcomes continues to be debated in the literature. This research investigated two models involving the linkages between service quality, satisfaction, perceived value, repurchase intention and willingness to...

Physical distribution services are becoming increasingly important as supply chains strive to become more efficient in the logistical flow of goods to industrial customers. Performance of these services, however, takes place during encounters that customers have with various interfacing...