TY  - CHAP
A1  - Eggert, Mathias
A1  - Weber, Jannik
T1  - What drives the purchase decision in Instagram stores?
T2  - ECIS 2023 Research Papers
N2  - The popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that ‘trust’, ‘personal recommendation’, and ‘usability’ significantly influences user’s buying intention in Instagram stores.
KW  - Instagram store
KW  - shopping behavior
KW  - purchase factor
KW  - PLS
KW  - structural equation model
Y1  - 2023
N1  - ECIS 2023, European Conference on Information Systems, Kristiansand, Norway, June 11.-16.
ER  - 
TY  - CHAP
A1  - Eggert, Mathias
A1  - Schade, Maximilian
A1  - Bröhl, Florian
A1  - Moriz, Alexander
ED  - Mandviwalla, Munir
ED  - Söllner, Matthias
ED  - Tuunanen, Tuure
T1  - Generating synthetic LiDAR point cloud data for object detection using the Unreal Game Engine
T2  - Design Science Research for a Resilient Future (DESRIST 2024)
N2  - Object detection based on artificial intelligence is ubiquitous in today’s computer vision research and application. The training of the neural networks for object detection requires large and high-quality datasets. Besides datasets based on image data, datasets derived from point clouds offer several advantages. However, training datasets are sparse and their generation requires a lot of effort, especially in industrial domains. A solution to this issue offers the generation of synthetic point cloud data. Based on the design science research method, the work at hand proposes an approach and its instantiation for generating synthetic point cloud data based on the Unreal Engine. The point cloud quality is evaluated by comparing the synthetic cloud to a real-world point cloud. Within a practical example the applicability of the Unreal Game engine for synthetic point cloud generation could be successfully demonstrated.
Y1  - 2024
SN  - 978-3-031-61174-2 (Print)
SN  - 978-3-031-61175-9 (Online)
U6  - https://doi.org/10.1007/978-3-031-61175-9_20
N1  - 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, Trollhättan, Sweden, June 3–5, 2024
SP  - 295
EP  - 309
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Eggert, Matthias
A1  - Schwarz, Jakob
T1  - What do enterprise collaboration systems afford to digital startups?
T2  - ECIS 2024 Proceedings
N2  - In recent years, more and more digital startups have been founded and many of them work remotely by applying enterprise collaboration systems (ECS). The study investigates the functional affordances of ECS, particularly Slack, and examines its potential as a virtual office environment for cultural development in digital startups. Through a case study and based on affordance theoretical considerations, the paper explores how ECS facilitates remote collaboration, communication, and socialization within digital startups. The findings comprise material properties of ECS (synchrony and asynchrony communication), functional affordances (virtual office and culture development affordances) as well as its realization (through communication practices, openness, and inter-company accessibility) and are conceptualized as a model for ECS affordances in digital startups.
Y1  - 2024
N1  - ECIS 2024, European Conference on Information Systems, Paphos, Cyprus, 13-19 June 2024
ER  -