Customers' Technology Know-How and Error-Correction Capability in Using Self-Service Technologies

Abstract

Customers' levels of technology knowledge vary significantly, affecting their performance in Self-Service Technologies (SSTs) and their ability to respond to errors in SSTs caused by service or process failures. Despite the fact that this is a highly practical scenario, scholarly research on the subject is rare. As a result, the purpose of this research is to look into customer technology know-how in SSTs, customers' corrective actions in the event of SST service/process failures, and differences between customers in terms of service performance, technology know-how, and error corrective capabilities in SSTs. The study used a qualitative research design, with semi-structured interviews with 25 SST users. The thematic analysis method was used to analyse the data. The study identified four types of knowledge that SST users need to effectively complete service transactions: computer knowledge, SST device knowledge, Internet knowledge, and language ability. Furthermore, the study identified numerous mechanisms used by customers to correct errors in SSTs and classified them as 'error preventing' or 'error recovering' mechanisms. Furthermore, the study discovered customer performance disparities among SSTs based on their level of technological expertise and error-correcting capabilities. The study divided SST users into three performance categories: 'Full performer,' 'Fair performer,' and 'Poor performer.' This study fills the theoretical gaps by elucidating the interaction between SST users' technological expertise and error correction capabilities. Furthermore, it informs SST service providers on how to maximise users' level of expertise while improving the service quality.

Keywords: Self-Service Technologies, Technology Know-How, Errors in SSTs, SST Acceptance