Background: According to the 2023 World Economic Forum report, the impact of Artificial Intelligence (AI) and automation on the job market was more significant than originally projected. Although 2018 research forecasted significant job losses balanced by job creation, current data indicates otherwise. Between 2023 and 2027, it is anticipated that 69 million new jobs will be created due to advancements in AI, however, this will be offset by the loss of 83 million jobs, leading to a net decrease of 14 million jobs worldwide. Roles related to AI, digitalization, and sustainability, such as AI specialists and renewable energy engineers are expected to grow, while those in clerical and administrative sectors are most at risk of decline. This shift underscores the need for reskilling and adapting to evolving fields, as nearly 44% of workers skills will face disruption by 2027. The demand for analytical thinking, technological literacy, and adaptability will grow as companies increasingly adopt frontier technologies. Objectives: (1) identify key variables influencing adaptability of college graduates in Indonesia, (2) quantify the strength of relationships between these variables to understand the combined effect on graduate adaptability. The research also aims to (3) develop theoretical and practical recommendations to strengthen ICIL policy and equip students with the relevant skills needed to thrive in an ever-changing job market. Methodology: The research focuses on predicting future employment trends, adaptability, and learning agility (LA), along with the implications for improving the Independent Campus Independent Learning (ICIL) policy. It focused on the significant unemployment rate among college graduates, along with the lack of research on the relationship between job change predictions, graduates’ adaptability, and the impact on graduates’ general well-being. The mixed-method strategy with quantitative analysis was used to conduct this research with data collected from 284 ICIL participants through online survey. The gathered data was evaluated using Structural Equation Modeling (SEM) with Lisrel version 10. Results: The result showed that job trend projections significantly influence responsiveness, which demonstrated a robust association between employment trend predictions and LA. Responsiveness significantly influenced learning agility which indicated no significant direct association between job trend projections and graduate adaptability. Conclusion: The research emphasized the need to consider adaptability as a concept with multiple dimensions. It proposed incorporating these factors into strategies for education and human resources development in order to better equip graduates for the demands of a constantly changing work market. Unique contribution: This research focused on adaptability as a multifaceted concept that consist of the ability to forecast job trends, be sensitive, and possess LA. It offered a deeper understanding of the relationships between these variables as discussed in the human resources literature. Technology, corporate culture, and training played a critical role in connecting employment trend prediction with the ability to respond effectively. Key recommendation: Institutions should implement a comprehensive approach to the development of human resources, with emphasis on fostering critical thinking, analytical abilities, and the practical application of information. By employing these tactics, higher education institutions may effectively equip graduates with both academic proficiency and the ability to adapt and thrive in quickly changing organizational environments, leading to the production of robust and versatile workers.

The covid-19 pandemic has adversely affected the sustainability of micro and small enterprises (MSEs), with a particularly pronounced impact in Central Java. Entrepreneurs who struggle to adapt to reduced consumer purchasing power and the increasing reliance on digital technology are at heightened risk of business closure. Despite these challenges, inclusivity remains a crucial element for MSEs in fostering local economic development. Accordingly, this study seeks to examine the role of inclusivity in the sustainability of MSEs that are based on digital technology. Data were collected through the use of questionnaires and focus group discussions. Respondents were digital-based MSEs entrepreneurs from five selected regions, with Central Java having the largest number of digital media users. Key informants included experts from Diponegoro University, the International Council of Small Business (ICSB), the Department of Cooperatives and Micro, Small and Medium Enterprises at the provincial and district levels, and non-governmental organizations. The collected data was analyzed using the Rapid Appraisal for Micro and Small Enterprises (Rap-MSE’s) method. To assess the sustainability status, the study utilized several dimensions, including economic, environmental, social, institutional, technological, and inclusivity factors. Both multidimensional and individual analyses indicated that the sustainability status was relatively robust. MSEs that integrated digital technology into their operations were able to withstand the challenges posed by covid-19 and adapt to the new normal. In conclusion, the inclusivity dimension in the adoption of digital technology has gained increased importance in driving local economic development.

Project risk management in the mining industry is necessary to identify, analyze and reduce uncertainty. The engineering features of mining enterprises, by their nature, require improved risk management tools. This article proves the relevance of creating a simulation model of the production process to reduce uncertainty when making investment decisions. The purpose of the study is to develop an algorithm for deciding on the economic feasibility of creating a simulation experiment. At the same time, the features and patterns of the cases for which the simulation experiment was carried out were studied. Criteria for feasibility assessment of the model introduction based on a qualitative parameters became the central idea for algorithm. The relevance of the formulated algorithm was verified by creating a simulation model of a potassium salt deposit with subsequent optimization of the production process parameters. According to the results of the experiment, the damage from the occurrence of a risk situations was estimated as a decrease in conveyor productivity by 32.6%. The proposed methods made it possible to minimize this risk of stops in the conveyor network and assess the lack of income due to the risk occurrences.

Entrepreneurship education plays a crucial role in improving college students' entrepreneurial skills. With the significant momentum gained by digital entrepreneurship, there is an urgent need for digital transformation in entrepreneurship education. However, entrepreneurship education digital transformation (EEDT) is developing in a rapid but fragmented manner, which requires more systematic guidance. This study aims to assess the current research themes and formulate a framework for entrepreneurship education digital transformation. The research employs a systematic literature review and a theory triangulation method. According to the review’s outcome, which focused on 56 articles published between 2018 and 2023, the researcher constructed a conceptual framework for entrepreneurship education digital transformation. To test the construct validity of the framework, the researcher modified it twice through theory triangulation, following the guidelines of the entrepreneurship education ecosystem theory and the education digital transformation framework. This study offers recommendations for research and practice in digital transformation of entrepreneurship education, encompassing a holistic strategy, new educational approaches, novel curriculum designs, and the enhancement of digital literacy among entrepreneurship teachers.

Village administration in Indonesia has changed its scope and operation with the integration of digital technology into public services at various levels. These conditions prompt questions about the successful digital transformation of public administration services. Digital transformation encompasses not only technological aspects but also socio-cultural factors. This paper reports the study related to implementing ICT-based applications in village administration policy in Indonesia. The study involved 315 village officials from 167 villages in 16 sub-districts within Toba district, North Sumatera province. A village administration software prototype was developed and introduced to the villages’ officials during the study. This study aims to gain insights from the officials’ response regarding digital technology-supported village administration. The research revealed that many village officials must gain the necessary knowledge and skills to conduct administrative tasks digitally, as they still rely on traditional, non-digitized methods. Recommendations include increased support and assistance from the Regency Government to help villages understand and implement digital administration and capacity-building activities to familiarize village officials with ICT advancements. The study also found that digital transformation in village administration remains challenging, with digitization and digitalization processes often overlooked. Addressing these challenges requires additional training and improved infrastructure availability. Finally, we propose a conceptual model of digital transformation for public administration at village level as generic components for digital implementation of village administration.

A smart city focuses on enhancing and interconnecting facilities and services through digital technology to offer convenient services for both people and businesses. The basic infrastructure of smart cities consists of modern technologies such as the Internet of Things (IoT), cloud computing and artificial intelligence. These urban areas utilize different networks, such as the Internet and IoT, to share real-time information, improving convenience for the inhabitants. However, the reliance of smart cities on modern technologies exposes them to a range of organized, diverse, and sophisticated cyber threats. Therefore, prioritizing cybersecurity awareness and implementing appropriate measures and solutions are essential to protect the privacy and security of citizens. This study aims to identify cyber threats and their impact on smart cities, as well as the methods and measures required for key areas such as smart government, smart healthcare, smart mobility, smart environment, smart economy, smart living, and smart people. Furthermore, this study seeks to evaluate previous research in this field, establish necessary policies to mitigate these threats, and propose an appropriate model for the infrastructure associated with IT networks in smart cities.