Factors Influencing the Acceptance of Self-Service Technologies: A Meta-Analysis

Markus Blut, Cheng Wang*, Klaus Schoefer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

191 Citations (Scopus)

Abstract

To facilitate efficient and effective service delivery, firms are introducing self-service technologies (SSTs) at an increasing pace. This article presents a meta-analysis of the factors influencing customer acceptance of SSTs. The authors develop a comprehensive causal framework that integrates constructs and relationships from different technology acceptance theories, and they use the framework to guide their meta-analysis of findings consolidated from 96 previous empirical articles (representing 117 independent customer samples with a cumulative sample size of 103,729 respondents). The meta-analysis reveals the following key insights: (1) SST usage is influenced in a complex fashion by numerous predictors that should be examined jointly; (2) ease of use and usefulness are key mediators, and studies ignoring them may underestimate the importance of some predictors; (3) several determinants of usefulness impact ease of use, and vice versa, thereby revealing crossover effects not previously revealed; and (4) the links leading up to SST acceptance in the proposed framework are moderated by SST type (transaction/self-help, kiosk/Internet, public/private, hedonic/utilitarian) and country culture (power distance, individualism, masculinity, uncertainty avoidance). Results from the meta-analysis offer managerial guidance for effective implementation of SSTs and provide directions for further research to augment current knowledge of SST acceptance.

Original languageEnglish
Pages (from-to)396-416
Number of pages21
JournalJournal of Service Research
Volume19
Issue number4
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • meta-analysis
  • self-service technology
  • technology acceptance

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