Search results

This study investigates the key factors that influence customer satisfaction when interacting with augmented reality shopping assistance applications (ARSAPs). ARSAPs grant consumers the capability to experience products in a virtually simulated user environment before product acquisition. With the development of mobile e-commerce due to breakthroughs in smartphone and augmented reality (AR) technologies, there is an increasing potential for these emergent AR mobile services, yet there is a need for further improvement.

This study initially explored the key satisfaction factors for ARSAPs by utilizing topic modeling of a collection of actual user reviews. These factors are subsequently revisited and complemented by existing literature, and finally verified through logistic regression analysis supported by sentiment analysis.

This study identified the key factors that influence customer satisfaction with ARSAPs, including visuality, sense of reality, credibility, format, completeness, understandability, relevance, flexibility, response time, reliability, availability, ease of use and privacy. In particular, two additional factors (i.e. visuality and sense of reality) were newly identified as important in the context of AR, despite their previous omissions in existing literature.

This study is the first to investigate the key factors that influence customer satisfaction with ARSAPs from users' perspectives, utilizing topic modeling of a large amount of real-world data on actual user feedback. By identifying new factors (i.e. visuality and sense of reality) that were not identified in previous literature, this study provides important academic implications for a broader understanding of AR and related technologies that are essential elements of the metaverse. This study also provides valuable insights for developers and companies in the e-commerce industry on how to optimize AR applications and develop more targeted and effective marketing strategies in this field.

The tourism industry is experiencing a tremendous growth with an everincreasing pressure from a variety of types of competition. The change of tourism market in Asia and the ever‐increasing competitive nature of the tourism industry require tourist destinations to develop an effective marketing plan and strategy. This article identifies the relationship between destination cues of Asian countries and Korean tourist images of destinations, the differences of Korean tourist images on revisiting and recommend intention for destinations, and the differences of demographic factors on destination cues and Korean tourist images and revisiting/recommend intention for destinations.

The purpose of this paper is to examine regional voting patterns in South Korea using the results from six presidential elections since the 1990s.

A χ² test was used to determine the municipalities where a regional voting pattern emerged, and λ correlation coefficients were calculated to examine changes in the regional voting patterns.

The analyses lead to three key findings. First, voting patterns differ in Yeongnam and Honam: regional voting in Yeongnam is getting weaker, it remains strong in Honam. Second, the tendency to vote along regional lines decreased significantly in the election in which the Honam party fielded a candidate with a Yeongnam appeared identity. Third, regional voting patterns declined but then stabilized at a constant level, regardless of the candidates’ local identity, which was confirmed in “Bu-Ul-Gyeong.”

This paper can empirically verify the manifestation of regional voting pattern and confirm the trend. It is possible to derive a condition for suppressing the regional voting pattern.

This paper aims to explore informal learning experiences among employees working in South Korean small- and medium-sized enterprises (SMEs) with fewer than 100 employees. This study specifically seeks to understand the characteristics of informal learning in Korean SMEs and culturally sensitive contextual factors that shape informal learning.

To understand the complex, holistic nature of the phenomenon, the current study used a phenomenological qualitative approach. Eighteen full-time employees working at South Korean SMEs in knowledge-intensive industries were interviewed. Data were analyzed using Moustakas’s phenomenological analysis.

The findings emerged from the field data revealed four characteristics of informal learning in South Korean SMEs: absolute reliance on informal learning; rapid/immediate learning and application; relationship/client needs-based learning; and extensive trial and error. The current study also identified South Korean SMEs’ unique organizational context (i.e. a family-like atmosphere, one employee-multiple tasks, passive investment in employees and the absence of systems) and Korean culture (i.e. Gab-Eul relations and chemyon) that drive the emergence of SMEs’ informal learning characteristics.

Very little empirical research has been conducted to explain how informal learning actually occurs and why such learning patterns have emerged in South Korean SMEs. The findings of this study have a profound impact on practice and academia, as it unveils characteristics of informal learning in SMEs, the unique cultural context in which Korean SMEs operate and how these characteristics impact the learning process.