Sotaro Katsumata

The Reciprocal Effects of Country-of-Origin on Product Evaluation : An Empirical Examination of Four Countries

Purpose – The purpose of this paper is to examine the country-of-origin (COO) effect on product evaluation to determine the different effects of COO in Asian nations. Design/methodology/approach – The authors focus on automobiles as the target product category and conduct consumer surveys in three Asian countries – China, Japan, and South Korea – and the USA. Since these four countries are the major global production bases and consumption markets, the authors can examine the reciprocal effects of COO across countries. The authors propose a hierarchical conjoint analysis and estimate parameters. For the attributes of conjoint analysis, the authors incorporate both the COO of products and other functional aspects such as price and fuel consumption to compare their effects on consumer evaluation. Findings – The authors find different tendencies in each country’s COO effect. Further, the authors discuss the factors affecting consumer evaluation in each country based on the country’s culture and general produc...

The Asymmetric Effect of Sex Role Orientation on Japanese Family Purchase Decision Making

Family purchase decision making is driven by the bipolar gender stereotypes of husband and wife. However, relatively little is known about how individual perceptions of Sex Role Orientation (SRO) affect authority in an integrated decision. The present research is aimed to narrow the gap in the literature by dissecting the four dimensions of Sex Role Orientation and exploring the interplay among the elements of household decision making: SRO, gender, and purchase decision stage. The authors carry out a comprehensive analysis by utilizing representative empirical data collected from 500 demographically heterogeneous individuals who filled out a survey related to gender role orientation and automobile purchasing behavior. The analysis reveals asymmetric effects of females and males norm perceptions. While the fundamental relationship between SRO and decision making authority is predominated solely by the gravity of male values, the moderating effect of gender is primarily affected by female dimensions. The research breaks beyond the limitations of prior research by elucidating households’ decision making structure through isolating the dimensions of female and male gender norms, and contributes to the literature by providing a deeper and more comprehensive insight into the underlying factors of decision making mechanism between husband and wife. In addition, given the sparse research on gender roles and purchasing behavior in Japanese society, the results provide a basis for cross-cultural comparison and actionable items for immediate management implication by practitioners.

Influence of individual characteristics on whether and how much consumers engage in showrooming behavior

This article investigates a set of individual characteristics that can explain whether and how much a consumer engages in showrooming behavior. The authors conceptualized and empirically examined certain variables’ impact on both showrooming probability as well as the extent of behavior. The variables under consideration include consumers’ involvement, prior knowledge, perceived risk, price consciousness, Internet usage, access device usage, and certain demographic variables. The results reveal that involvement and price consciousness significantly explain whether a consumer is a potential showroomer. Further, showrooming frequency is found to be affected by prior knowledge, perceived risk, price consciousness, Internet usage, access devise usage, and age. Some implications are discussed regarding how retailers can handle showrooming.

The Contents-Based Website Classification for the Internet Advertising Planning: An Empirical Application of the Natural Language Analysis

This study proposes a model for website classification using website content, and discusses applications for the Internet advertising (ad) strategies. Internet ad agencies have a vast amount of ad-spaces embedded in websites and have to choose which advertisements are feasible for place. Therefore, ad agencies have to know the properties and topics of each website to optimize advertising submission strategy. However, since website content is in natural languages, they have to convert these qualitative sentences into quantitative data if they want to classify websites using statistical models. To address this issue, this study applies statistical analysis to website information written in natural languages. We apply a dictionary of neologisms to decompose website sentences into words and create a data set of indicator matrices to classify the websites. From the data set, we estimate the topics of each website using latent Dirichlet allocation, which is fast and robust method for sparse matrices. Finally, we discuss how to apply the results obtained to optimize ad strategies.

Website Classification Using Latent Dirichlet Allocation and Its Application for Internet Advertising

This study proposes a model for website classification using website content, and discusses applications for internet advertising (ad) strategies. Internet ad agencies have many ad-spaces embedded in many websites and can choose where to place advertisements. Therefore, ad agencies have to know the properties and topics of each website in order to optimize advertising submission strategy. However, since website content is in natural languages, they have to convert these qualitative sentences into quantitative data if they want to classify websites using statistical models. To address this issue, this study applies statistical analysis to website information written in natural languages. We apply a dictionary of neologisms in order to decompose website sentences into words and create a dataset of 0, 1 indicator matrices to classify the websites. From the dataset, we estimate the topics of each website using latent Dirichlet allocation. Finally, we discuss how to apply the results obtained to optimize ad strategies.