Jong Ho Lee, Jaehyeon Jun, Junsung Park, Joon Woo Yoo and Heejun Park
Digital stickers are being used frequently due to a rapid increase in the usage of mobile messenger services. Moreover, characters featured on digital stickers are being used as…
Abstract
Purpose
Digital stickers are being used frequently due to a rapid increase in the usage of mobile messenger services. Moreover, characters featured on digital stickers are being used as spokes-characters for brand marketing and advertisements. These characters create positive consumer attitude toward the brand and the brand's product or service.
Design/methodology/approach
Based on 307 surveys collected in Korea, this paper examines the relationship between the dimensions of the characters and the usage intention of an Internet-only banking service.
Findings
Results indicate that unlike conventional spokes-characters, the expertise of sticker characters does not have an influence on usage intention. However, all three dimensions of characters are effective in forming a positive brand equity, and this has a mediating role in enhancing usage intention.
Originality/value
Current research has brought academic attention to characters featured on digital stickers and have verified their significant role. Moreover, in an Internet-only banking context, branding strategy is an effective way to encourage customers to use services. Theoretical implications are addressed, as are implications for managers who are looking for a character that will execute effective marketing campaigns.
Details
Keywords
Suyong Yeon, ChangHyun Jun, Hyunga Choi, Jaehyeon Kang, Youngmok Yun and Nakju Lett Doh
– The authors aim to propose a novel plane extraction algorithm for geometric 3D indoor mapping with range scan data.
Abstract
Purpose
The authors aim to propose a novel plane extraction algorithm for geometric 3D indoor mapping with range scan data.
Design/methodology/approach
The proposed method utilizes a divide-and-conquer step to efficiently handle huge amounts of point clouds not in a whole group, but in forms of separate sub-groups with similar plane parameters. This method adopts robust principal component analysis to enhance estimation accuracy.
Findings
Experimental results verify that the method not only shows enhanced performance in the plane extraction, but also broadens the domain of interest of the plane registration to an information-poor environment (such as simple indoor corridors), while the previous method only adequately works in an information-rich environment (such as a space with many features).
Originality/value
The proposed algorithm has three advantages over the current state-of-the-art method in that it is fast, utilizes more inlier sensor data that does not become contaminated by severe sensor noise and extracts more accurate plane parameters.