Micro, Small and Medium Enterprises (UMKM) in Indonesia are contributors to national economic growth. In East Java itself, the number of MSMEs is relatively large. However, there are still many obstacles in its development, such as the ineffective partnership pattern, and the development is not as expected. Therefore, this study aims to determine the implementation of the partnership model between MSME entrepreneurs with medium and large scale businesses that have been running so far, the involvement of local governments in implementing the partnership model, obstacles encountered in implementing the partnership model, as well as how to develop the MSME partnership model with medium and large scale business. The method used in this study is a mix method (qualitative and quantitative). The results showed that the implementation of the partnership model between MSME entrepreneurs with medium and large scale businesses so far has been enhanced by involving companies through the Corporate Social Responsibility (CSR) program. Local government involvement is also through regulations with the concept of partnership of MSME entrepreneurs with medium and large companies. Obstacles faced including coordination between stakeholders is still not optimal. By increasing MSME partnerships with medium and large businesses it is expected to overcome existing obstacles such as limited resources.
The reference to the success factors of incubators and startups in running their business so far has been ambiguous. The purpose of this study is to analyze the critical factors that can affect the success of incubators and startups. The quantitative research method describes the research results. The study locus is in East Java Province, Indonesia with primary data from respondents in five regions: Banyuwangi, Jember, Madiun, Malang, and Surabaya. The number of respondents was 41 from incubators and 59 from startups with identification of domicile, type of business, and business turnover. Data was collected using surveys and interviews with 100 respondents. The analysis in this study uses eleven factors that are assumed to be factors of business success that have been tested with Kaiser Meyer Olkin Measure (KMO), Measure of Sampling Adequacy (MSA), Bartlett’s test, and Cronbach Alpha. The critical point used for the KMO value is between 0.5 and 1, the MSA test critical point is 0.5, Bartlett’s test is less than the significance level (α = 0.05), and α cronbach ≥ 0.60. The analyzed factors are as follows: synergy products; processes; innovation management; communication; culture; experience; information technology; innovation skills; functional skills; and implementation skills. As a result, incubators and startups agree on eleven critical factors to building their business success, but there are differences in the priority scale between incubators and startups on these eleven factors.
Dalam perekonomian yang serba sulit seperti sekarang ini pemerintah daerah dipaksa untuk segera memacu diri agar berfikir kreatif, inovatif, dan cepat. Jika tidak, maka bayang-bayang permasalahan sosial yang akut akan selalu menghantui seperti kemiskinan dan pengangguran. Salah stu cara untuk mengatasinya, pemerintah daerah harus segera berbenah diri menjadi motivator dan fasilitator untuk menyadarkan dan memperdayakan warga msikin dalam lingkup kecil, guna mengenali lingkungan terkecil di dekatnya dan memamnfaatkannya sesuai potensi daerah masing-masing. Juga membangun kesadaran masyarakat miskin dengan konsep pemberdayaan dengan menggali dimensi-dimensi pendukung dan pendorong pemberdayaan yakni dimensi konsep, proses, tjuan, dan indikator.
Housing needs in major cities in Indonesia are increasing due to urbanization. The solution taken by the government is to provide rental housing (rusunawa). Low income families who initially live in slums need some adaption when moving into the rusunawa. The purpose of this research is to analyze the socio-demographic relationships of families, social capital and subjective well-being (SWB). Using quantitative method and household survey, this study was conducted by giving questionnaires and interview to 90 residents of 396 rusunawa units. The study use regression analysis. Thus, the result shows that social capital, the social network, and trust, determine the SWB. If SWB is an indicator of the process of adaption of a person or family in a new place, in this study, we concluded that these two variables were very important for the resident. Using social networking and trust, these residents can adjust to a new housing milieu.
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