Global nation product equity depending on a level of cultural diffusion

Purpose This paper aims to propose the global nation product equity model (GNPE) to measure global consumers’ equity of a product that a country produces, especially a nation’s cultural products (i.e. culducts). The model also examines the significant difference of GNPE depending on a cultural diffusion level. GNPE model proposes that depending on the level of people’s recognition/acceptance/preference of a culture from another country (i.e. cultural diffusion level), the equity of a product from that country could be different in different countries. As variables that affect GNPE, global nation product equity in general, global nation product equity of a product category and nation cultural equity are included in the model. Design/methodology/approach To test the model, this study developed Hallyu (Korean cultural diffusion)-related Korean culducts and measured global consumers’ equity for the Korean culducts. In all, 351 surveys were collected from China, France, England and the USA. Findings The results show the significantly different equities and relationships among equities depending on the level of Hallyu diffusion in each country. Therefore, Korea is suggested to focus on different equities in different countries. Originality/value This research proposed a new model that extends the previous brand equity models to non-branded products (i.e. cultural products). This model proposed new variables that affect equity of a product mentioned above and suggests different equities to improve in different countries depending on their level of cultural diffusion. Also, this cross-cultural study suggests a direction of culduct design, distribution and promotion strategies in the global market.

Agent-Based Modeling of Deshopping Behaviour: A Single Shop Model with Multiple Deshoppers

Deshopping is rapidly turning into a modern day scourge for the retailers worldwide due to its prevalence and regularity. The presence of flexible return policies have made retail return management a real challenging issue for both the present and the future. In this study, we propose and develop a multi-agent simulation model for deshopper behavior in a single shop context. The background, theoretical underpinning, logical and computational model, experiment design and simulation results are reported and discussed in the paper.