2 research outputs found

    Neue-Gemeinschaft: Digital Transformation of Micro, Small and Medium Enterprises among Rural Community in Banyuwangi, East Java

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    This study aims to analyze the digital transformation of changing rural economy towards a digital society. Qualitative research methods were used, including 50 participants and in-depth interview informants, with participatory observation, policy analysis, and three series of focus group discussions both in person and online. The study found that internet intervention significantly impacts collective behaviour and improves MSMEs development. Referring to the continuum theory of Gemeinschaft-Gesellschaft, the study showed that these changes result in the formation of a ‘Neue Gemeinschaft’. Rural MSMEs are entering a new era due to the adoption of digital technology by businesses that support and exhibit characteristics such as the intensity of the use of internet networks, the ability to conduct digital transactions, and the preservation of village social values. Theoretically and empirically, the research indicates that digital transformation is driven by a change in collective behaviour around technology use, followed by inclusive rural digital economy

    Analysis of Relationship Between Conversational Media Applications and Social Media with Social Capital in Disaster Mitigation at the area of Bogor Regency, Indonesia

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    The study analyzes the relationship between conversational applications (WhatsApp) and social media (Facebook and Instagram) through social capital in disaster mitigation at the Ciliwung Riverbank, Tugu Utara Village. This study used Mayfield's social media theory and Lasser's social capital theory in analyzing disaster mitigation. This study used a post-positivistic paradigm and combined two qualitative and quantitative approaches. Data collection techniques were carried out by direct observation, in-depth interviews, document studies, and distributing questionnaires through survey techniques. Qualitative data analysis used the Miles and Huberman model and quantitatively used descriptive statistics with correlation analysis. The results showed that the relationship between conversational media applications and social media with social capital was highly correlated and obtained a value above 0.75. This showed a very strong relationship before, during, and after the disaster. Users of conversational media applications and social media build social capital to help each other, build social networks and social relations, trust and cooperation to achieve common goals. The power of social capital through the application of conversational media and social media forms social interaction and social communication based on technology or digital in disaster areas
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