• Title/Summary/Keyword: 슈퍼 앱

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Indonesian Super App Gojek: Focusing on Business Model, Growth Process and Growth Factors (인도네시아 슈퍼앱 Gojek : 비즈니스모델, 성장과정 그리고 성장요인을 중심으로)

  • Yun-Seung Ko
    • Korea Trade Review
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    • v.48 no.1
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    • pp.263-285
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    • 2023
  • The purpose of this study is to examine the business model, growth process, and success factors of the successful super app Gojek in the Southeast Asian and Indonesian markets. Gojek's business model analysis focused on the business canvas (9 blocks) that many companies have used to establish business models. Gojek's growth process was analyzed based on timeline. Gojek 1.0 is from the start of the ride hailing service. Gojek 2.0 is a leap forward into a life-friendly platform. Gojek 3.0 is a process of expanding and diversifying domestic and foreign businesses. Gojek 4.0 is a stage of changing to GoTo through mergers with Tokopedia, and setting a higher leap forward. Based on this, the success factors of Gojek are ① Hyperlocalization ② First mobile ③ A company that is loved through mission execution ④ Provide financial inclusion ⑤ Business expansion and diversification through mergers and acquisitions and partnerships ⑥ Entry into overseas markets ⑦ Attracting various partners and investment ⑧ Lock-in effect and hyperpersonalization. The implications obtained through this study and the limitations and direction of the study were discussed.

The classification of super app consumer for marketplace strategy - Focusing on the shopping orientations - (Super app marketplace 전략을 위한 소비자 유형화 - 쇼핑 성향을 중심으로 -)

  • Hye Jung Kim;Young-Ju Rhee
    • The Research Journal of the Costume Culture
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    • v.31 no.3
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    • pp.330-345
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    • 2023
  • This study aimed to categorize consumers using super app functional characteristics to identify demographic differences, and analyze shopping orientations by consumer type. This data can be used by fashion and beauty companies for product planning and marketing strategies. To categorize super app consumers, data were analyzed with SPSS v.26.0 software using frequency, factor, reliability K-mean cluster, and distributed analyses, one-way-ANOVAs, and Scheffe verification. Cross-analysis was conducted to correlate super app consumer types with demographic characteristics. One-way-ANOVAs and Scheffe verification were used to analyze the differences in shopping preferences between super app consumer groups. As a result of our analyses, super app consumers were classified into four types: the ration type, the low-use type, the multifunction type, and the habit type. There were statistically significant differences between these types in age, occupation, marital status, average monthly household income, and shopping impact factors. Five super app user shopping orientations were identified: brand pursuit, pleasure pursuit, trend pursuit, risk perception, and economic orientation. The differences in the preferred orientation between super app consumer types were found to be statistically significant. The majority of respondents were multifunction type consumers. This group used the super app most frequently and effectively. They also demonstrated the highest scores for all five of the shopping orientations. The classification of consumer types in this study will allow the fashion and beauty industries to utilize super apps for more targeted product design and marketing.

Research on Service Enhancement Approach based on Super App Review Data using Topic Modeling (슈퍼앱 리뷰 토픽모델링을 통한 서비스 강화 방안 연구)

  • Jewon Yoo;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_2
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    • pp.343-356
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    • 2024
  • Super app is an application that provides a variety of services in a unified interface within a single platform. With the acceleration of digital transformation, super apps are becoming more prevalent. This study aims to suggest service enhancement measures by analyzing the user review data before and after the transition to a super app. To this end, user review data from a payment-based super app(Shinhan Play) were collected and studied via topic modeling. Moreover, a matrix for assessing the importance and usefulness of topics is introduced, which relies on the eigenvector centrality of the inter-topic network obtained through topic modeling and the number of review recommendations. This allowed us to identify and categorize topics with high utility and impact. Prior to the transition, the factors contributing to user satisfaction included 'payment service,' 'additional service,' and 'improvement.' Following the transition, user satisfaction was associated with 'payment service' and 'integrated UX.' Conversely, dissatisfaction factors before the transition encompassed issues related to 'signup/installation,' 'payment error/response,' 'security authentication,' and 'security error.' Following the transition, user dissatisfaction arose from concerns regarding 'update/error response' and 'UX/UI.' The research results are expected to be used as a basis for establishing strategies to strengthen service competitiveness by making super app services more user-oriented.