Sector Digitalization Research Articles

Can digital government reduce the resource dependency? Evidence from method of moments quantile technique

The conventional thinking states that pervasive government corruption may turn resource plenty in resource-rich countries into a burden. These issues may surface, particularly when the public sector uses conventional procedures. Based on this, the research looks at how the public sector's digitalization might aid in resolving this issue. Specifically, economic growth, trade openness, economic complexity index, public sector size, and the impacts of digitalization are assessed in relation to their reliance on natural resources for 16 nations that are vulnerable to the “curse of the natural resource” Furthermore, the moderating influence of digitalization on the link between the growth of the public sector and the resource curse is investigated. In this case, the years 1995–2021 are investigated using the CS–ARDL methodology, and the robustness of the results is evaluated using the Moments Quantile Regression method. The CS-ARDL approach's findings indicate that trade openness, public sector size, and economic progress all correlate with increased resource reliance. However, as the economy becomes more complex and digitalized, resource dependency declines. Additionally, it is demonstrated that the interaction term parameter between digitalization and the growth of the public sector is negative, indicating that digitalization within the public sector has the potential to counteract the growing reliance of the sector on resources.

Linktree-based digital media development to improve learning on the Merdeka Belajar Kampus Merdeka (MBKM) curriculum in cosmetology education

The Merdeka Belajar Kampus Merdeka (MBKM) curriculum implements innovative learning in the education sector's digitalization era. This program enables student exchanges and expands the boundaries of the physical classroom into a digital space. Linktree-based digital media can be used online by students participating in student exchange collaborations and by students studying in class. This research aims to determine the feasibility and effectiveness of Linktree-based digital media in improving MBKM learning in cosmetology education. The research uses the ADDIE development model. Validation results from learning experts reached 80.33% in the good category, while material experts scored 81.63% in the very good category. Media experts' validation scored 80% in the good category. The results of the limited trial reached 85.54% in the very good category, and field trials obtained 90.4% in the very good category. This demonstrates that Linktree-based digital media is feasible and effective for use in cosmetology learning to enhance MBKM learning. The pre-test score was 75.52%, and the post-test score was 88.62%, showing a significant increase of 16.10%. This data indicates improved learning outcomes and student motivation to participate in MBKM learning. The contribution of the research shows that using Linktree can enhance student learning outcomes by increasing motivation and engagement while also simplifying the delivery of learning materials for teachers, thus supporting the improvement of MBKM learning and increasing the accessibility of cosmetology education resources.

The significance of developing digital competencies among employees in the agricultural sector

Georgia's agricultural sector possesses vast potential in terms of land resources, biological diversity, and available labor force which can be effectively leveraged to meet the food demands of the population and bolster the export of agricultural products. Furthermore, the innovative advancement of the sector is intricately linked with the adoption of modern information technologies. To enhance the efficiency of the agricultural sector amidst rapidly evolving market needs and regulatory standards, the digitalization of production technologies and management systems plays a pivotal role. However, while the technological aspects of the digital transformation progress, the development of employees' digital skills, the encouragement of collective decision-making, and the instillation of a culture of information technology knowledge all remain crucial components of the process. This paper proposes approaches for constructing a skills model for employees in the agrarian sector, and delineates the requisite skills for employees amid the sector's digitalization. In Georgia's economy, information technologies are rapidly advancing towards establishing a sustainable and secure information and telecommunication infrastructure. This is a direct approach which aims to transform Georgia into not only an advanced digital-agrarian country but also a state with cutting-edge, high-tech production and organization capabilities. Despite the pressing nature of the issue, the digital transformation of the agricultural sector significantly lags behind similar advancements in other industries. One of the key obstacles hindering the digitalization of Georgia's agricultural sector is the low level of information literacy among employees and a shortage of digital skills. A methodological approach is imperative for developing digital competencies among agricultural workers. This approach encompasses defining goals, tasks, and principles, determining educational formats, technologies, and tools, as well as establishing methods for assessing skill development. Consequently, this initiative will help alleviate the shortage of highly skilled personnel in the agricultural sector and address the challenge of fostering economic growth amidst the sector's digitalization. Keywords: Agricultural sector, digitalization, information base, digital competences, information technologies.

A new intelligent approach of surface roughness measurement in sustainable machining of AM-316L stainless steel with deep learning models

Due to the manufacturing sector's digitalization and ability to combine quality measurement and production data, machine learning and deep learning for quality assurance hold enormous potential. In this situation, industries may process data to inform data-driven estimates of product quality, thanks to predictive excellence. This research investigates the machinability of Laser Powder Bed Fusion (LPBF) − 316L stainless steel specimens, focusing on the impact of cutting parameters and cooling conditions (Dry, MQL, CO2 and CO2 + MQL) on surface roughness. The research employs advanced data augmentation techniques, incorporating TransGAN and multi-head attention (MHA) based Alexnet model for surface imperfection classification. The results highlight the effectiveness of the proposed methodology in accurately classifying surface conditions and underscore the superior performance of the MHA-Alexnet algorithm compared to alternative models (Alexnet and AE-Alexnet). Overall, the study contributes valuable insights into optimizing machining parameters and cooling strategies for enhanced surface finish in additively manufactured alloys.

Leveraging self-sovereign identity & distributed ledger technology in renewable energy certificate ecosystems

Renewable Energy Certificates (RECs) are tradable units that represent the commodity in the form of environmental attributes generated for each unit of electricity produced by a renewable energy source. Furthermore, the energy sector's digitalization ushers in new crucial enablers like Distributed Ledger Technology (DLT), which may be used for REC record tracking and trading. Unfortunately, there are a number of outstanding issues such as the lack of a common standard for the representation, communication, and verification of REC, reliance on centralized entities, and others. In order to harness the true potential of energy DLT and REC, it is imperative to address these issues. In this visionary article, we propose a holistic approach which leverages a novel decentralized identity mechanism called Self-sovereign Identity (SSI) and DLT. We present its architecture, based on a rigorous threat model and requirement analysis as well as detailed use-cases to illustrate how the architecture can be used in different REC use-cases.

Green and Smart Energy Pave the Way for China's Dream

The strategic background of "dual carbon" will promote the green transformation of China's energy, promote economic stability and progress, and is of great significance to ensure energy security. A new pattern of development for the global digital economy has been established by the digital era, e-commerce innovation and development. The energy sector's digitalization, the regular image of new technologies and solutions, the innovation and modernization of new energy systems, the use of green and smart energy to stay on top of the times, these measures have made great contributions to China's leadership in global energy development.

Challenges of Digitalization of Agrarian Sector in terms of Human Development

The article substantiates the digitization of the agrarian sector as a major trend that determines not only the economic but also human development. Digitalization is defined as the process of transforming information into a digital form, and such a process which more or less touches absolutely all spheres of life making first of all qualitative changes and influencing human development itself. In Ukraine where the agrarian sector is in fact the locomotive of economic development, its digitalization becomes the main task that needs practical application. Today significant achievements of Ukrainian agricultural companies in the direction of digitalization can be observed but a large number of problems still need to be addressed and remain challenges for the future. First of all the focus should be on combining the use of digital technologies with the appropriate training of workers of all levels capable of working in the new environment. Then it is possible to ensure both the fulfillment of economic goals and the achievement of human development goals. To do this Government supporting programs for the agrarian sector's digitalization at all levels are needed.