TY - JOUR
T1 - A classification of information-oriented PoS technology from customer perception
AU - Röding, Tobias
AU - Steinmann, Sascha
AU - Wagner, Gerhard
AU - Schramm-Klein, Hanna
PY - 2023/1
Y1 - 2023/1
N2 - When it comes to investigating how customers use POS technologies or which factors might promote their adoption, it is important to know which characteristics are particularly relevant from the customers' perspective. Based on three recent approaches to POS technology systematization, this research empirically categorizes POS technologies from the customer's point of view. We investigated POS technologies that are information-oriented and have a certain form of interaction capability. First, we selected seven information-oriented POS technologies for the research. An online study (N = 830) was conducted on POS technologies that were used in a multidimensional scaling (MDS) analysis. As a result, three clusters of POS technologies were identified: (A) comprehendible POS technologies, (B) information integration POS technologies, and (C) entertainment-related POS technologies. Our findings yield important insights for retailers with regard to the customers' perception and qualitative evaluation of the POS technologies in each of the identified clusters.
AB - When it comes to investigating how customers use POS technologies or which factors might promote their adoption, it is important to know which characteristics are particularly relevant from the customers' perspective. Based on three recent approaches to POS technology systematization, this research empirically categorizes POS technologies from the customer's point of view. We investigated POS technologies that are information-oriented and have a certain form of interaction capability. First, we selected seven information-oriented POS technologies for the research. An online study (N = 830) was conducted on POS technologies that were used in a multidimensional scaling (MDS) analysis. As a result, three clusters of POS technologies were identified: (A) comprehendible POS technologies, (B) information integration POS technologies, and (C) entertainment-related POS technologies. Our findings yield important insights for retailers with regard to the customers' perception and qualitative evaluation of the POS technologies in each of the identified clusters.
KW - Clustering
KW - Information-oriented POS Technologies
KW - MDS
U2 - 10.1016/j.jretconser.2022.103126
DO - 10.1016/j.jretconser.2022.103126
M3 - Journal article
SN - 0969-6989
VL - 70
JO - Journal of Retailing and Consumer Services
JF - Journal of Retailing and Consumer Services
M1 - 103126
ER -