Faculty of Business Administration

Data Collection Methodology and Appliance

Mr. Wei GUO and Ms. Shane XIE

Kantar Profiles Hong Kong

Abstract

The first paper attempts to understand the relationships among tourists’ indigenous ethnic food consumption attributes, consumption value, and epistemic/emotional benefits, and their roles in predicting future behavioral intention. This study uses an attribute–benefit–value–intention (ABVI) model to understand consumption behavior of international tourists concerning local food consumption experiences. The constructs assessed in the study include the attributes and benefits of local food, consumption value, and future intention. The second paper is to propose a model – the hierarchical local food consumption value mapping (HLFCVM) – as a medium to convey the diversity of international tourist culinary perceptions. To test the hypothesis that tourists cultural backgrounds influence the HLFCVM, the researchers compared the mappings that were generated across each of the eight groupings. Japanese and Thai respondents generated unique maps which were simpler in their makeup to those of other cohorts. The third paper is to identify the functions of local food attributes and benefits from local food consumption on satisfaction, behavioral intention, and destination familiarity. The adopted methods used to achieve the objectives were impact-range performance analysis (IRPA) and impact asymmetry analysis (IAA).

Date: September 19, 2019 (Thursday)

Time: 15:00~17:00

Venue: E22-2013

Brief Information of Kantar Profiles

As a recognized WPP Group global leading provider, Kantar Profiles is a dynamic growing company specializing in online market research, especially in data collecting and connecting.

Kantar Profiles manages the largest online panels in the industry. They provide the clients with access to over 88 million research ready panelists in 74 markets throughout the North America, Europe, Africa and Asia Pacific. They also have strategic partnerships with different technical partners for advanced data collecting and connecting methodology.