Laurens De GauquierVrije Universiteit Brussel | VUB · Department of Business (BUSI)
Laurens De Gauquier
PhD Researcher
About
14
Publications
7,693
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298
Citations
Introduction
Laurens currently works as a PhD researcher at the Department of Business at the Vrije Universiteit Brussel. His research focuses on new in-store technologies, like humanoid robots and virtual reality. He has published in Journal of Business Research, International Journal of Retail & Distribution Management, and Virtual Reality, and presented at several international conferences such as Global Brand Conference and Frontiers in Service.
Publications
Publications (14)
Purpose
The purpose of this paper is to empirically investigate the role of the placement (i.e., location) of humanoid service robots (HSRs) for entertainment applications in retailing by inspecting a multitude of performance metrics along the point-of-sale (POS) conversion funnel.
Design/Methodology
The study was conducted using unobtrusive obs...
This study investigates the effectiveness of a humanoid service robot (HSR) versus a tablet service kiosk (TSK) along the stages of the point-of-sale (POS) conversion funnel. The observational data gathered by means of a field experiment show that the HSR elicited 26 times more interactions (i.e., passersby touching the screen) than the TSK and tha...
This chapter provides a literature overview on service robots in retailing and their impact on customers. Our search stems from a Scopus database search, resulting in 18 relevant studies (2009-2019). Current research trends are discussed and future research opportunities are provided.
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9209559&ca...
As new advertising formats emerge, research regarding their effectiveness is called for. Since the emergence of virtual reality (VR) technology, several brands have started implementing VR advertising in their communication strategies. The research objective of this study is to examine whether mobile VR advertising can positively impact manageriall...
robots; retailing; shopping; consumer; humanoid service robot; pepper
Humanoid robots can serve as in‐store communication medium, providing functional as well as hedonic value. Previous studies have demonstrated their proficiency in providing functional value, such as guiding customers, advertising products, or carrying groceries. However, in a retailing context, engaging customers often requires more than meeting th...
This study investigates shopper behavior when interacting with an employee-robot team (vs. both actors in isolation), along the metrics of the POS conversion funnel. An unobtrusive field study was conducted using video observations, evenly spread over four conditions: (1) a control condition (i.e., no stimulus), (2) a frontline employee, (3) a huma...
Purpose
Service robots have increasingly been utilized in retail settings, yet empirical research on how frontline employees (FLEs) might deal with this new reality remains scarce. This mixed-methods study aims to examine how FLEs expect physical service robots to impact job characteristics and affect their job engagement and well-being.
Design/me...
Despite the power of VR in immersing viewers in an experience, it generally only targets viewers via visual and auditory cues. Human beings use more senses to gather information, so expectedly, the full potential of this medium is currently not yet tapped. This study contributes in answering two research questions: (1) How can conventional VR ads b...
robots; kleinhandel; consument; humanoïde service robots; Pepper
Humanoid robots hold potential to offer customer experience for bricks-and-mortar stores. Participants took part in a quiz on the topic chocolate in an experimental field study at »The Belgian Chocolate House» in Brussels airport in which a tablet kiosk and a Pepper robot were compared. The experiments showed that offering the quiz on a humanoid ro...
The purpose of the current study is to examine whether VR advertising can positively impact
managerially relevant brand outcome variables, such as brand personality perceptions,
consumer attitudes toward the brand and purchase intentions.
Questions
Question (1)
Hi,
I am conducting an analysis in SPSS with the PROCESS macro (model 82; see image).
My X variable consists of three treatment groups (respondents were exposed to either technology A, B, or C).
I have checked the multi-categorical coding system as Helmert.
In the SPSS output, I receive regression coefficients for X1 and X2 (X1 is the coefficient of treatment group B - group A; X2 is the coefficient of treatment group C - group A).
However, I would like to have three separate regression coefficients (so one for treatment group a, one for group B, and one for group C).
Is there a possible way to have the output like that within the PROCESS macro?
Am I defining the multi-categorical variable wrongly?
Many thanks!
Laurens