The Role of Users’ Demographic and Social Attributes for Accepting Biometric Systems: A Greek Case Study

Abstract

Even though both internet-of-cloud services and biometric systems (BSs) are used worldwide, popular and expanded among public and private services, their utilization has not been extended among Greek users, and in particular within Greek HEIs. This paper aims to examine the University of the Aegean (UA) students’ perceptions, especially on BS acceptance, determining the impact of their sociodemographic characteristics toward this. An online instrument was developed based on constructs of technology acceptance models, and previous research focused on BS acceptance, including a great variety of sociodemographic variables. The authors collected 768 complete responses to explore the social and demographic attributes that impact on students’ BS acceptance through exploratory descriptive research. This study found that several UA students’ sociodemographic attributes are linked to their BS acceptance. Specifically, gender, age, study level, year of study, professional profile and fathers’ occupation are useful to determine which students’ groups are in favor of BS, while employment status, annual income and mothers’ occupation are weak toward this. Security and privacy concerns are indicated to influence users’ BS acceptance as well. This study provides a unique approach to better understanding the Greek students’ BS acceptance, with important implications for improved BS marketing in Greece in synergy with the internet-of-cloud services and their potential adoption in HEIs internal settings. It also provides developers with further knowledge for security and privacy non-functional requirements in order to increase users’ acceptance and to address these challenges within the internet of cloud.