1 - 4 of 4
ItemOn the Importance of Considering Country-specific Aspects on the Online-Market: An Example of Music Recommendation Considering Country-Specific Mainstream( 2018-01-03)In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music perception and preferences are shaped by culture; and culture varies across countries. Based on the LFM-1b dataset (including 53,258 users from 47 countries), we show that there are significant country-specific differences in listeners’ music consumption behavior with respect to the most popular artists listened to. Results indicate that, for instance, Finnish users’ listening behavior is farther away from the global mainstream, while United States’ listeners are close to the global mainstream. Relying on rating prediction experiments, we tailor recommendations to a user’s level of preference for mainstream (defined on a global level and on a country level) and the user’s country. Results suggest that, in terms of rating prediction accuracy, a combination of these two filtering strategies works particularly well for users of countries far away from the global mainstream.
ItemAn Open Model for Researching the Role of Culture in Online Self-Disclosure( 2018-01-03)The analysis of consumers’ personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantlyÂ - this is particularly true for information provided on social network services. Still, people manage the privacy level they want to maintain by disclosing by disclosing PI accordingly. In addition, studies have shown that consumers’ online self-disclosure (OSD) differs across cultures. Therefore, intelligent systems should consider cultural issues when collecting, processing, storing or protecting data from consumers. However, existing studies typically rely on a comparison of two cultures, providing valuable insights but not drawing a comprehensive picture. We introduce an open research model for cultural OSD research, based on the privacy calculus theory. Our open research model incorporates six cultural dimensions, six predictors, and 24 structured propositions. It represents a comprehensive approach that provides a basis to explain possible cultural OSD phenomena in a systematic way.
ItemThe Impact of National Culture on Mobile Commerce Adoption and Usage Intensity( 2018-01-03)The usage of mobile commerce increases around the world. However, little is known about why adoption and usage of mobile commerce services differ across countries. We address this question by analyzing the impact of national culture on mobile commerce adoption and usage intensity. Using a dataset that comprises individual consumer survey data from 43 countries across six continents and country-level data on Hofstede’s six cultural dimensions, we study cross-cultural adoption and usage patterns pertaining three mobile commerce services, i.e. mobile banking, mobile shopping and mobile payment. Our results show that adoption and usage intensity are indeed affected by different cultural dimensions. Specifically, the adoption of mobile commerce services is negatively influenced by a country’s level of uncertainty avoidance, while consumers’ usage intensity is driven by indulgence. This implies that providers of mobile commerce services need to tailor their market entry and market cultivation strategies accounting for each country’s specific culture.