As ecommerce continues to grow, small businesses are using a variety of platforms to secure potential consumers. However, it is important for small business owners to choose an efficient business model because of constraints such as technical problems. In this study, based on platform characteristics we divide online shopping platforms into different types as follows: (1) information brokerage services; (2) online malls; and (3) omni-channel platforms. The efficiency of each group is measured by stochastic frontier analysis, and the efficiency comparison between the groups is made using meta-frontier analysis. As a result of the study, it is found that the efficiency of small business owners increases as functional integration increases, satisfying utilitarian motivations. However, a platform with greater integration that has a social presence satisfying hedonic motivations improves the efficiency of all small businesses using the platform instead of just the efficiency of a marginal number of small business owners. This study, based on the dynamic capabilities viewpoint, suggests that the omni-channel platform represents the most sustainable approach for small business owners undergoing difficulties such as technological and organizational changes.

Fresh produce has rich sensory attributes, and consumers generally prefer examining physically these sensory attributes prior to purchase. The nature of e-commerce, however, limits consumers’ ability to examine products’ sensory attributes while buying online. Customers receive very limited intrinsic cues of fresh produce (such as color) when buying online and thus use only extrinsic cues to assess the quality of fresh produce. This study investigates the effects of extrinsic cues on online shopping for fresh produce, with a particular focus on the effect of geographical indication (GI), which often assumes the role of brand names among producers of fresh groceries. We used data from an online South Korean marketplace for fresh produce to conduct a linear regression analysis. The results show that products linked to GIs sold more and were ordered more frequently; other control variables had somewhat significant effects. The volume of online product reviews was found to have a significant positive effect on the amount of orders and sales, but the product rating itself did not have an effect. The price had a negative effect on the amount of orders, while the number of certifications (e.g. “organic agriculture”) had a significant positive effect on the number of orders.

Purpose: This study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an alternative to traditional survey-based marketing research. Design/methodology/approach: In order to conduct IPA and IPCA utilizing online reviews, the following three steps were executed: (1) Extract key attributes of the product/service with latent Dirichlet allocation (LDA) topic modeling. (2) Measure the importance of each attribute with keyword analysis. (3) Measure the performance of each attribute with KoBERT-based sentiment analysis. Findings: By utilizing LDA, we were able to identify significant attributes identified by real users’ reviews. The approach of evaluating attribute importance using keyword metrics offers the advantage of straightforward computations, reducing computational expenses and facilitating intuitive metric assessments. The evaluation of BERT-based performance involved adapting pre-trained language models to the specific analysis domain, resulting in substantial time savings without compromising accuracy, ultimately bolstering the dependability of the metrics. Lastly, the case study’s findings indicate a growing emphasis on the aesthetic aspects of mobile banking apps in South Korea while highlighting the pressing need for enhancements in critical areas such as stability and security, which are particularly pertinent to the finance industry. Originality/value: Previous studies have limitations in assessing significance solely based on sentiment scores and review ratings, resulting in an inability to independently measure satisfaction and importance metrics. This research addresses these limitations by introducing a keyword frequency-based importance metric, enhancing the accuracy and suitability of these measurements independently. In the context of performance measurement, this study utilizes pre-trained large language models (LLMs), which provide a cost-effective alternative to previous methods while preserving measurement accuracy. Additionally, this approach demonstrates the potential for industry-wide competitive analysis by enabling comparisons among multiple competitors. Furthermore, the study extends the application of review data-based IPA and IPCA, traditionally used in the tourism sector, to the evaluation of financial mobile applications. This innovation expands the scope of these methodologies, indicating their potential applicability across various industries.

The surge in digital transformation within financial technology has catalyzed the development of super-apps—comprehensive mobile applications designed to serve a multitude of a customer’s daily needs on a single platform. Despite their widespread use, there is a dearth of research regarding customer adoption in the banking industry. Employing the integrated Information Systems (IS) success model, this study delves into how the characteristics of mobile banking super-apps influence user adoption intentions, taking into account various levels of service integration, in South Korea. The results reveal that factors such as interactivity, service diversity, process completeness, and technological service innovation positively affect the perceived ease of use. However, only service diversity and process completeness significantly influence perceived usefulness. Furthermore, distinct relationships between constructs are observed among different user groups based on their preferred service integration levels. This research can help banks formulate app management strategies and identify the optimal levels of service integration for their mobile banking super-apps.

In order to survive in a rapidly changing environment, organizations must innovate constantly, and a lot of efforts have been made by academia and company executives to design organizations capable of such innovation. The purpose of this study was to explore the ways to design an organization that is constantly innovating through entrepreneurship while retaining its superiority as an existing company, by examining the case of Naver, which has been recently attracting much attention due to its organizational process innovation, such as the abolition of the position classification system and the introduction of the cell organization and company-in-company (CIC) system. Based on user-centered thinking, Naver has reorganized the organization in the direction of expanding its organization to expand the autonomy of the organization dedicated to services and individuals, thereby enabling more flexible and prompt responses and creating an environment for all members of Naver to engage in entrepreneurial activities. Providing entrepreneurial opportunities will not only increase the positive impact of a horizontal organizational structure on innovation, but will also increase the need for cooperation and the incentive to share knowledge, so it will become possible for employees to be motivated by reputation instead of formal evaluation. In addition, the investigation of the system, process, and culture of Naver showed that they are well suited for creating and realizing opportunities through reorganization of various kinds of knowledge. In particular, we examined the possibility that the mobility of organizational members will play the role of checking the negative effects of entrepreneurs on the organization, while the company-wide coordination function that can hinder creativity and autonomy is minimized, and considered organizational learning of entrepreneurship as a condition of corporate entrepreneurship. Finally, we examined the implications of Naver’s organizational process innovation by comparing existing theories with Naver’s organizational process innovation.