Farmer Cards: Model, Database, Accuracy, and Improvement in Goverment Quality Service

Abstract

This study aims to test the model adoption of farmer card innovation by farmers. Data were collected through the use of the survey technique. The respondents were obtained through cluster sampling from six districts that included the greatest numbers of farmer card users in central Java. Data analysis was done through the SEM technique. As a result, from the five variables included, reconstruction and merging of the independent variables were then carried out so that three important antecedent variables appeared regarding influencing the adoption of farmer cards, namely leadership, facility conditions, and the role of government mediated by perceptions of card technology. The application of farmer cards produced such a farmer database, accuracy improvement, and government service to farmers. Future research needs to be directed toward carrying out development research related to increasing the capacity of information technology regarding farmer cards; hence it will bring better welfare to farmers. No previous research has explained how small farmers adopt information technology provided by the government. Many events have transpired, but these dynamics have not been revealed in previous research. This research resulted in an adoption model that enriches the previous Rogers’ innovation adoption theory, especially how leadership factors play an important role in the adoption of information technology innovations

Theoretical framework and methods for the analysis of the adoption-diffusion of innovations in agriculture: a bibliometric review

“…4.3 Technology adoption and agriculture sustainability in developing countries: the predominance of quantitative approaches This cluster has been labeled "Technology adoption & Agriculture sustainability". It includes research addressing aspects such as supportive public policies and the crucial role of extension agents, all within the framework of "sustainable agriculture, capacity building and training, or the role of gender in relation to the adoption of innovations (Bhatta et al, 2017;Branca & Perelli, 2020;Chatalova et al, 2017;Concu et al, 2020;Harun et al, 2021;Knierim et al, 2019;Mankad et al, 2017;Moglia et al, 2020;Ozcelik, 2016;Wedajo et al, 2019). Dissemination of knowledge to users is equally important (Harun et al, 2021;Rejesus & Jones, 2020;Usman et al, 2021).…”

“…It includes research addressing aspects such as supportive public policies and the crucial role of extension agents, all within the framework of "sustainable agriculture, capacity building and training, or the role of gender in relation to the adoption of innovations (Bhatta et al, 2017;Branca & Perelli, 2020;Chatalova et al, 2017;Concu et al, 2020;Harun et al, 2021;Knierim et al, 2019;Mankad et al, 2017;Moglia et al, 2020;Ozcelik, 2016;Wedajo et al, 2019). Dissemination of knowledge to users is equally important (Harun et al, 2021;Rejesus & Jones, 2020;Usman et al, 2021). Indeed, technology adoption and sustainable agriculture are two concepts that are commonly linked in the scientific literature about the diffusion and adoption of agricultural innovations and have often been studied in developing countries (Onyancha & Onyango, 2020;Yamoah et al, 2020).…”

“…Similarly, other authors have highlighted the importance of information and training in developing countries for the adoption of agricultural innovations (Feder et al, 2004) The third cluster of the coupling network has been named "Technology adoption and Agriculture sustainability in developing countries: the predominance of quantitative approaches". It includes research addressing aspects such as supportive public policies and the crucial role of extension agents, all within the framework of sustainable agriculture, capacity building and training, or the role of gender in relation to the adoption of innovations (Bhatta et al, 2017;Branca & Perelli, 2020;Chatalova et al, 2017;Concu et al, 2020;Harun et al, 2021;Knierim et al, 2019;Mankad et al, 2017;Moglia et al, 2020;Ozcelik, 2016;Wedajo et al, 2019). Among the most impactful research in this network is that of (Wang et al, 2021), which focuses on the need to adopt innovations to mitigate the impact of practices in Chinese agricultural production, using a "technology-organization-environment" methodological framework.…”

Pemanfaatan Media Digital Pada Sistem Pemerintahan: Studi Literatur Berbantuan Nvivo 12 Pro

“…Tahun terbit artikel 2022 bisa jadi penelitian di lakukan sejak 2021, di mana pembatasan aktivitas masyarakat masih cukup ketat, dan kegiatan perkantoran di dominasi dengan sistem Work from home (WFH) (Nuryamin & Wulandari, 2022). Saat para pegawai pemerintah lebih banyak WFH, begitu pula digitalisasi sistem pemerintahan mulai meningkat, dan mulai mendapatkan perhatian masyarakat untuk menjadi pilihan dalam menggunakan fasilitas pelayanan pemerintahan (Harun et al, 2021). Meningkatnya jumlah publikasi di tahun 2022, menunjukkan bahwa masyarakat sudah mulai beradaptasi dengan pelayanan dalam bentuk digital.…”