Technology Industry Research Articles

What can talent management do about involuntary remote working in the post-COVID-19 era? Spanish IT employees’ organizational commitment

The purpose of this study is to understand the role of professional isolation and work–family balance (WFB) as talent retention strategies, considering organizational commitment (OC) and the mediating role of job satisfaction (JS) among IT employees in the technological industry have been forced by their companies to telework. While previous research has examined the connections between professional isolation (PI), OC, WFB, and JS separately in the context of teleworking, this research proposes an integrative model examining the connections between all these work-related constructs and allowing for mediating and moderating effects. It focuses on IT employees in the technological industry forced to telework, a setting underexamined by previous literature. The final sample is composed of 294 teleworkers forced to work partly at home by their companies. Partial least squares structural equation modeling (PLS-SEM) was applied, and SmartPLS 4.0.8.7 software was used to analyze the data and test the hypotheses. Our results indicate a positive and significant direct effect of WFB on JS and OC, a negative and significant effect of PI on JS and OC, and a positive and significant effect of JS on OC. Our results also indicate that JS mediates the relationship between WFB and OC and between PI and OC and that neither time spent teleworking nor gender moderates the association between PI and OC. Overall, our results suggest that while PI negatively affects OC, JS, and WFB are the most relevant determinants of OC in the context of teleworking. In addition, a complementary IPMA analysis reinforces this view by suggesting that WFB and JS are the most important factors in determining OC performance among IT employees working from home, while PI is not important. The originality of this article is the proposal of an integrative model examining the connections between JS, WFB, PI, and OC and allowing for mediating (JS) and moderating (gender and percentage of time teleworking) effects from a talent management perspective. Moreover, this study focuses on information technology companies and the situation of forced remote working, two settings that have been underexamined. The results could help companies with forced teleworking develop effective strategies to attract, develop, and retain top talent in the information technology industry in the post-pandemic era. It is important for practitioners to consider the interactions between diverse work-related dimensions and the mediating and moderating effects between them to efficiently implement talent management strategies and reinforce OC and, in turn, economic performance.

The Influence of Information Computer and Technology (ICT) Self-Efficacy and Entrepreneurial Learning on Technopreneurial Intention Among Engineering Students In Bandung City

The technology industry in Indonesia has experienced rapid growth, creating new opportunities for entrepreneurship in a field called technopreneurship. Small and Medium-sized Enterprises (SMEs), which contribute 61% to Indonesia's GDP, are undergoing a transformation by integrating online platforms and industrial processes. As of 2021, Indonesia ranked 74th out of 137 countries, with an entrepreneurship rate of 3.47%. This study aims to explore how ICT self-efficacy and entrepreneurial learning influence the intention to pursue technopreneurship among engineering students in Bandung. By understanding these factors, the research seeks to identify key elements in the formation of technopreneurs in Indonesia. The study employs a quantitative research method, using surveys to gather data. The survey is designed based on factors that influence the entrepreneurial intensity of engineering students. The research involves 382 samples from various universities in Bandung. Data will be analyzed using the Partial Least Square Structural Equation Model (PLS-SEM). The study tests three hypotheses, all of which show a positive and significant relationship between ICT self-efficacy, entrepreneurial learning, and technopreneurship intentions. The findings suggest that students with higher confidence in ICT and better entrepreneurial learning are more likely to have a strong intention to become technopreneurs. These results are expected to serve as a reference for universities in developing strategies to enhance technopreneurship interest among their students, contributing to the growth of the technopreneur ecosystem in Indonesia.

Agile Transformation in Financial Technology: Best Practices and Challenges

Agile transformation has emerged as a crucial approach for organisations in the financial technology (FinTech) industry that are looking to improve their operational efficiency and adapt to the fast shifting needs of the market. Agile approaches offer major advantages, including enhanced flexibility, a shorter time-to-market, and higher customer satisfaction. Making the move from conventional project management methodologies to Agile practices promises to bring about these benefits. The purpose of this abstract is to provide a complete overview of how organisations may successfully traverse this complicated process by examining the best practices and obstacles connected with Agile transformation in the FinTech industry. Because of the dynamic nature of the FinTech business, the Agile approach, which is characterised by iterative development, collaboration, and responsiveness to change, is a good fit for the industry. One of the most important best practices for a successful Agile transition is the establishment of a clear vision and the commitment of leadership. For the purpose of cultivating a culture that welcomes change and supports innovation, leaders are required to advocate for the Agile principles and provide continuous support. In addition, it is crucial to make investments in Agile training and coaching in order to equip teams with the skills necessary to successfully deploy and maintain Agile methods.

Communicating a comeback: a startup founder’s response to anonymous employee feedback

Research methodology This case study is based on primary data collected through interviews with the company’s founder and CEO. It also includes secondary data collected through the Glassdoor job search and career community site. The names of the company and the employees have been disguised. However, the figures included accurately represent the primary data and the quotes are directly from the company representative. Case overview/synopsis When it was founded in 2009, employees were excited about the prospect of working at Wombat alongside its founder and CEO Dan Wallace. They had looked forward to making a difference in the lives of college students with the company’s higher ed-focused digital communication platform. But by 2022, Wallace could not ignore the significant change in these employees’ attitudes. Anonymous feedback pointed to employees’ commitment to Wombat having wavered, and employees’ reception of post-COVID organizational changes had become concerningly critical. Though he knew enough to be concerned, Wallace felt unsure of how to move forward based on the anonymous feedback alone. He was left wondering: how should Wombat communicate with employees to boost their attitudes and strengthen their commitment while making the hard decisions that best serve the company? Complexity academic level This case study is appropriate for upper-level undergraduate and graduate students in organizational communication courses. It can constitute the employee communication module in a class that surveys strategic managerial communication, or it could be used as one of many examples in a course specifically focused on the internal communication component of the discipline. Students will need an understanding of communication theory, specifically interpretive organizational communication theory, to grasp the complexities of the case. While the focus company is in the educational technology industry, the themes presented are faced by companies of all sizes in all sectors.

Sustainable practices in traditional jobs of Kerala: A contextual analysis

Kerala boasts a remarkable heritage of traditional occupations that thrived in the previous century. These vocations encompassed a range of fields, from working with coir, handicrafts, gold smithery, black smithery, to ayurvedic practices, and beyond. The present study seeks to comprehend the sustainable prospects of these age-old crafts within the state of Kerala. To achieve this end, a secondary analysis was conducted between 2010 and 2023, drawing from fifteen relevant articles subjected to contextual scrutiny. The findings of this research indicate that socio-economic factors exert a significant, adverse effect on the sustainability of traditional occupations. In addition, the integration of technological advancements has also played a role in this development. The promotion of sustainable practices entails the consideration of other factors such as dearth of youth participation in traditional jobs, scarcity of resources, urbanization, industrialization and advent of modern technology,. As such, a holistic and systematic approach can help to empower traditional occupations within Kerala.

Development of the hostility and inclusion in gaming scale (HIGS): A gender-based analysis

Electronic gaming is one of the fastest growing segments of the sports, entertainment, and technology industries. While the electronic nature of the industry offers many advantages, electronic platforms create psychological distance between players and perceived anonymity conducive to cyberbullying and cyber incivility, especially for those who do not identify as cis-gender men/boys. Therefore, there is an increasing need to establish credible and reliable tools to measure cultures of hostility, toxicity, and inclusion in electronic gaming. Consequently, the current study resulted in the development of the first known rigorous quantitative examination of hostility and inclusion in gaming, the HIGS. A five-stage process involving three samples (Sample 1 N = 150, Sample 2 N = 157, Sample 3 N = 246) was utilized. The results of this study led to the development of the HIGS with five distinct factors (gender/genre zoning and access discrimination, hegemonic masculinity, harassment/treatment discrimination, stereotypes and stigmas, and imposter syndrome). Several implications are outlined with a specific focus on how organizations, leagues, and teams can seek to implement the scale to better gauge their culture of inclusion for a variety of groups. The HIGS was designed to be applied across all gaming types and the subsequent results can inform all aspects of gaming policy and decision-making. The full scale is provided within the appendix.

Precisely regulated crystalline phase of TiO2@composite G doped with Al3+: For the preparation of highly conductive, corrosion resistant conductive coatings

The development of conductive materials is crucial to the upgrading of modern science and technology industries. In recent years, the research on conductive materials synthesized based on TiO2 has mainly focused on improving the conductivity and stability of the materials. And this study, based on the high conductivity of the material, innovatively proposes a method to precisely regulate the crystal phase and morphology of TiO2 by CH3COOH and temperature together. Meanwhile, the heterostructure was successfully built by doping Al3+ into the TiO2 lattice, and a new conductive pathway (Al-O-C) was constructed. Finally, the composite G was prepared as an Al3+-doped TiO2 composite G (Al-T/G) functional material, and it was verified by first-principles calculations (DFT). The experimental results show that the Al-T/G material not only has the low surface resistance and high whiteness of TiO2, but also is endowed with more excellent resistivity (0.203 Ω·cm) and protection efficiency (92.45 %). Meanwhile, compared with the conventional antimony-doped tin dioxide (ATO) conductive materials, the Al-T/G functional materials prepared in this paper are basically harmless to the environment in the experimental process while ensuring high conductivity. Most importantly, this paper explores the bonding mechanism of Al3+-doped TiO2 conductive materials, which provides new insights and ideas in the field of dopant-modified TiO2 conductive materials.

Ex-ante life cycle evaluation of spent lithium-ion battery recovery: Modeling of complex environmental and economic impacts

The recycling of lithium-ion batteries (LIBs) is essential for promoting the closed-loop sustainable development of the LIB industry. However, progress in LIB recycling technologies is slow. There are significant gaps between academic research and industrial application, which hinder the industrialization of new technologies and the improvement of existing ones. Here we show a universal model for spent LIB-lithium recycling (SliRec) to evaluate the applicability and upgrading potential across various recycling technologies. Instead of modeling the entire recycling process, we focus on partial processes to enable a comparative analysis of environmental and economic impacts. We find a strong correlation between lithium concentration (LC) and the advancement of recycling technologies, where higher LC is associated with a reduced carbon footprint and increased economic benefits. The implementation of high-level recycling technology can result in an 85.91% reduction in carbon footprint and a 5.97-fold increase in economic returns. Additionally, we explore the effects of technological interventions through scenario analysis, demonstrating that while low-level recycling technology faces more substantial challenges in upgrading, it holds greater potential for reducing carbon emissions (−2.38 kg CO2-eq mol−1) and enhancing economic benefits (CNY 11.04 mol−1). Our findings emphasize the significance of process modeling in evaluating the quality of spent LIB recycling technologies, and can provide comparative information for the application of emerging technologies or the upgrade of existing ones.

Proposal of molecules in Möbius nanobelt topology

The study of belt-shaped nanostructures is one of the areas of interest in the current computational physics scenario. Over the years, many topological structures have been synthesized using a diverse array of techniques. Due to their price and more affordable synthesis, carbon structures are of great interest to the technological industry. Since nanostructures can present different physical characteristics, this paper presents those differences using Möbius carbon nanobelt topology obtained in the appendix of the Nature paper: Synthesis of a Möbius carbon nanobelt Segawa Y, Watanabe T, Yamanoue K, Kuwayama M, Watanabe K, Pirillo J, Hijikata Y and Itami K (2022 Nature Synthesis 1 535–541). This investigation using density functional theory (DFT) calculations shows that boron nitride (BN[7,7]), and silicon carbide (SiC[7,7]) nanobelts possess structural stability and the possibility of synthesis. Möbius SiC[7,7] nanobelts behave as semiconductors and absorb in the visible region, while Möbius BN[7,7] nanobelts demonstrate promise as ultraviolet (UV) sensors. Both structures exhibited significant thermal stability during a quantum molecular dynamic simulation. They are capable of withstanding temperatures at least 1500K. It is speculated that the proposed nanobelt molecules could stimulate further experimental investigations into their synthesis and technological applications.

Китайская концепция киберсуверенитета и ее значение для правового регулирования искусственного интеллекта и обеспечения информационно-психологической безопасности в условиях защиты конкуренции

In the article, the author analyzes the mechanisms of achieving cyber sovereignty by the People›s Republic of China through the prism of the impact of this policy on the state of competition in the information and digital commodity markets, as well as the correlation of the legal and economic effect of such a policy with the policy of protectionism. The author believes that the policy pursued by China in relation to the creation of a sovereign Internet can be applied by other developing countries both for the purpose of ensuring their information independence and security, and for the purpose of creating conditions for the emergence of companies competing with the global giants of the information technology industry in such states.

Influence of technology-related factors on zero-carbon building development in Lagos Nigeria

PurposeThe development of zero-carbon buildings (ZCBs) is beneficial to the society and biodiversity. Despite the benefits of ZCBs, there are challenges limiting its development in construction industry. The current study seeks to examine the technology-related factors affecting the development of ZCB in Lagos Nigeria.Design/methodology/approachThe study designed a questionnaire to achieve the main objective. Data were collected using non-probability and snowballing sampling methods. Questionnaires were distributed, and 272 valid responses were collected. Thereafter, data were analysed using mean value, percentage, frequency distribution, normality test, Kruskal Wallis test and Kendall’s coefficient of concordance.FindingsThe results from data analysis showed that, “less technical expertise in new technological advancements”, “research outcomes are not translated effectively into technology innovations”, “high cost of maintenance on ZCB”, “poor knowledge on renewable technologies” and “industry’s ability to embrace ZCB technologies (policy initiatives and industry practices)” were the topmost five technology-related factors hindering development of ZCBs in Lagos, Nigeria. Also, the results from the study show a statistically significant degree of agreement between various groups of construction organisations in Lagos, Nigeria concerning the technology-related factors hindering the development of ZCBs.Originality/valueThe study contributed to more effective ZCB studies by drawing attention to technology-related factors hindering the development of ZCBs in construction industry. An understanding of these challenges can help construction stakeholders, organisations, policymakers and governments in devising strategies targeted at minimising these challenges and fostering the development of ZCBs in the construction sector. The identified results on technological barriers to ZCBs development can guide targeted interventions and policy adjustments, promoting more effective implementation of ZCBs in Lagos Nigeria and serving as a model for addressing similar challenges in other developing countries. Recommendations for future research on ZCBs were also highlighted.

Predicting Stock Prices in the Electric Vehicle and Technology Sectors Using Long Short-Term Memory Models

Forecasting stock prices is a complex task because of the volatility and intricate temporal dependencies present in financial markets. Long Short-Term Memory (LSTM) networks, known for their proficiency in handling extended time-series data, offer an effective solution to these challenges. This paper delves into the applications in LSTM networks to forecast stock prices for various companies in the electric vehicle and related sectors, specifically examining data from Tesla, BYD, Panasonic, and NVIDIA. The study assesses the predictive accuracy and performance of these models using RMSE, MSE, MAE, and R metrics. By comparing these metrics across different companies, the paper provides an in-depth analysis of LSTM networks' effectiveness in financial forecasting. The findings indicate that when LSTM networks are optimized through hyperparameter tuning and architectural adjustments, they can accurately identify patterns in stock price data, offering valuable insights for investors and analysts in the electric vehicle, technology, and energy industries.

Research on the risk spillover effect of carbon emission trading market and various industry markets in China and the European Union

AbstractWidely concerns over the carbon emission problems have been aroused. Prior studies have documented the correlation between the carbon emission market and industries separately. This study compared the tail risks and risk spillover effect of the carbon emission and 11 industries markets in China and the European Union (EU) by using the multivariate multi‐quartile conditional autoregressive at‐risk model. Moreover, to evaluate the risk spillover of each market under extreme risk conditions in time domain and frequency domain, DY spillover index and BK spillover index were constructed via generalized forecast error variance decomposition and generalized causation spectrum, respectively. Findings are as follows: (1) The tail risks and fluctuation of the trend of Chinese industry markets reflects more higher and larger than those in the EU; (2) The EU suffers from smaller external shocks, while China has the opposite result and can recover relatively faster; (3) In China, energy, industrial, information technology, financial, real estate, consumer goods, carbon emissions, and discretionary consumption industries are risk spillover industries, while healthcare, materials, telecommunication services, and utilities industries are risk receiving industries. In contrast, the risk spillover industries in the EU remain consistent with those of the Chinese markets except for the materials, discretionary consumption, consumer goods, information technology and real estate industries. (4) On the short‐term, medium‐term and long‐term scales, the risk spillover of China's carbon emission trading market and various industries is basically consistent with that of the EU. These findings contribute to reducing greenhouse gas emissions and achieving the goal of carbon peak and carbon neutrality.

From adversity to advancement: uncovering how race and class shape Black tech entrepreneurial experiences

Abstract Black people in the technology industry face various barriers, from encountering micro-aggressions from their coworkers to facing blocked advancement in their professional careers. These challenges are particularly pronounced in entrepreneurship, where Black founders receive just one percent of all venture capital funding. But amidst these shared struggles, questions arise as to what ways, if any, these experiences vary. Using an intersectional lens to inductively study forty-six Black tech entrepreneurs in Silicon Valley, I reveal how class shapes Black entrepreneurial processes differently at various phases of entrepreneurship. Lower- and middle-class Black entrepreneurs faced more financial and network-based obstacles as they struggled to raise money from family and friends and had fewer effective networks when starting their businesses. Conversely, Black upper-class entrepreneurs had familial wealth and personal networks that aided their entrepreneurial efforts but faced challenges as they were not a “racial fit” within the industry. Consequently, they perceived that they confronted more instances of individual-level discrimination. Black lower and middle-class entrepreneurs were less likely to discuss instances of perceived individual-level discrimination because many had not reached the step of meeting with an investor. This research offers unique and nuanced insights into how class shapes the entrepreneurial pursuits of Black founders. Contributions to the sociology of race and ethnicity, intersectionality, and the sociology of entrepreneurship are also discussed.

Relationship Between Green Finance Availability and Purchase Intentions in Generation Z and Millennials: Moderating Role of Consciousness

This study examines how the availability of green finance influences the purchasing intentions of Generation Z and Millennials, with consciousness as a moderating factor. A structured questionnaire was deployed to collect the data to measure five reflective constructs: purchase intention, Gen Z and Millennials’ green finance, environmental consciousness, future consciousness and status consciousness. The valid responses of 500 participants working at various levels in the information technology industry were subjected to normality tests, factor analysis, and structural equation modeling analysis. The data were normally distributed (Shapiro‒Wilk statistic p>0.05), and the survey instrument maintained internal consistency and reliability, as revealed by the Cronbach’s alpha values (>0.70). The structural equation modeling results revealed an excellent model fit, and the Gen Z and Millennials’ financial availability, future consciousness and status consciousness constructs were statistically significant and impacted the purchasing intentions of Gen Z and Millennials. Slope analysis reveals that consciousness is statistically significant and moderates the relationship between Gen Z and Millennial financing availability and purchase intentions. Consciousness strengthens the positive relationship between Gen Z and millennial finance availability and purchase intentions. The article reports novel findings that affect the purchase intentions of customers regarding the availability of green financing to Generation Z and Millennials. This is a new empirical study in which Generation Z and Millennials. This empirical study highlighted the environmental, social and managerial implications for green finance providers. Green finance opportunities need to be provided to Gen Z and Millennials so that they can make a habit of engaging in green finance practices. This will promote environmental protection, increase greener consumption options, and ensure social equity and sustainable economic development. If the green financing opportunities promoted to Gen Z and Millennials, more businesses can opt for greener options, greener products and greener marketing.

An Innovative Vision-Guided Feeding System for Robotic Picking of Different-Shaped Industrial Components Randomly Arranged

Within an industrial plant, the handling of randomly arranged objects is becoming increasingly popular. The technology industry has introduced ever more powerful devices to the market, but they are often unable to meet the demands of the industry in terms of processing times. Using a multi-component feeder, which facilitates the automatic picking of objects arranged in bulk, is the ideal element to speed up the identification of objects by the vision system. The innovative designed feeder eliminates the dead time of the vision system since the feeder has two working surfaces, thus making the viewing time hidden in relation to the total handling cycle time. In addition, the step feeder integrated into the feeder structure allows for control over the number of objects that fall onto the work surface, optimizing the material flow. The feeder was designed to palletize aluminum hinge fins but can also handle other products with different shapes and sizes. A two-dimensional (2D) vision system is integrated into the robotic cell to identify the components to be palletized, obtaining a reduced cycle time. The innovative feeder is fully adaptable to industrial applications and allows for easy integration into the robotic cell in which it is installed; by testing its operation with different aluminum fins, male and female, significant results were obtained in terms of cycle times ranging from 1.44 s to 1.68 s per piece, with an average productivity level (PL) of 1175 pcs every 30 min.

Identification of Degradation Reasons for a CO2 MEA Electrolyzer Using the Distribution of Relaxation Times Analysis.

The application of membrane electrode assembly (MEA) in electrocatalytic CO2 reduction (ECO2R) technology is an essential step toward industrialization. Nevertheless, the issue of ECO2R failure in MEA during extended operation hinders its industrial application. In this work, we employed in situ, nondestructive electrochemical impedance spectroscopy (EIS) techniques combined with distribution of relaxation times (DRT) methodology to diagnose the causes of the failure. By systematically investigating the variations in polarization resistance throughout the degradation process and utilizing a controlled variable approach to identify the origin of polarization, we diagnosed the degeneration of ionomers as the primary cause of the performance degradation of ECO2R in this instance. We further confirmed the reliability of our findings through material characterization and respraying ionomers onto the catalyst surface. This research provides an effective diagnostic method for the failure analysis of ECO2R performance in MEA, which is crucial for advancing industrialization of ECO2R technology.

LEGAL ANALYSIS OF EU ARTIFICIAL INTELLIGENCE ACT (2024): INSIGHTS FROM PERSONAL DATA GOVERNANCE AND HEALTH POLICY

Background: This study correlates the up-to-date ethical, functional and legal evaluations related to the management and governance of artificial intelligence (AI) under European Union (EU) law, particularly impacting the health data sector and medical standards as provided by the Artificial Intelligence Act within the Regulation adopted by the European Council in May 2024. The initial proposal for the management and governance of the AI sector was submitted in April 2021. Three years later, on 13 March 2024, the European Union Artificial Intelligence Act (EU AIA) was adopted by the European Parliament. Subsequently, on 21 May 2024, the Council adopted an innovative legislative framework that harmonises the standards and rules for AI regulation. This framework is set to take effect in May 2026, with the central objective of stimulating and motivating a fair, safe, legal single market that respects the principles of ethics and the fundamental rights of the human person. Methods: The current legal analysis focuses on the European Union’s new institutional governance involving a multistage approach to managing health data, ethical artificial intelligence, generative artificial intelligence and classification of types of AI by considering the degree of risk (e.g. artificial intelligence systems with limited risk and systems with high risk) and medical devices. It outlines the legal framework for AI regulation and governance in the EU by focusing on compliance with the previously adopted legislation in the Medical Devices Regulation (2017) and the In-Vitro Diagnostic Regulation (2017). The paper also examines the application of the newly adopted EU Artificial Intelligence Act in relation to national justice systems, previous EU regulations on medical devices and personal data protection regulation, and its correlation with the European Court of Human Rights jurisprudence. This opens up complex discussions related to judicial reform and access to justice. For this purpose, as a research objective, the legal analysis includes an innovative perspective following an integrative discussion on the latest legal reforms and regulations of the AI sector in Eastern Europe launched in 2024 with a special focus on the latest developments in the EU Candidate Countries namely Ukraine and the Republic of Moldova. Results and conclusions: The present research facilitates the exploration of the real benefits of managing innovative AI systems for medical data, research, and development, as well as within the medical technology industry.

The sectoral aspect of staffing for strategic development of the sphere of artificial intelligence

The resource support of any developed strategy according to the chosen priorities is one of the most important stages of its formation and implementation. The solution of this task affects the dynamics of development of the economy’s high technology industries as the objects of strategizing in the emerging digital economy. One of the priority technological vectors of development of Russia is the sphere of artificial intelligence (AI), and so there arises the problem of the resource support of this direction. The purpose of the article is to study staffing as one of the key factors of strategic development of the Russian AI sphere in the industry context. The analysis is based on the methodology of strategizing by Professor V.L. Kvint and the concept of strategic human resources management by Doctor I.V. Novikova. The calculations are based on the Russian universities’ data on the number of graduates by educational programs in the AI sphere in 2023 and their employment. During the research the authors found out the number of graduates in the AI sphere by the industry specialization of educational programs; defined the sectoral specifics of employment of the graduates specializing in the AI sphere; identified the key employment organizations and jobs. The authors made conclusions about resource support of the AI development strategy in the industry context. The results will be useful for correcting the developed strategies in the AI sphere and for predicting staffing provision with the consideration of the time lag in the staff training.

Meningkatkan Kompetensi dan Peluang Siap Kerja melalui Program Beasiswa di Bidang Teknologi Informasi

The increasing need for workers in the information technology industry isn't in line with the education gap in Indonesia. One thing that can be solved to overcome this is providing scholarships in the information technology industry to provide financial assistance to support the education being pursued. PT Hacktivate Teknologi Indonesia (Hacktiv8) as a training institution of information technology that transforms beginners into digital talents also plays a role in combating this educational gap by providing Fullstack Javascript and Fulltime Data Science scholarship programs at the Hacktiv8 Surabaya Campus. This research uses qualitative research methods and uses primary and secondary data. The scholarship program was awarded to 6 selected participants who passed the acceptance test selection from 215 applicants. Scholarships are awarded with a full or partial scholarship scheme. Bootcamp education will be run according to the chosen program to improve competencies and skills that support work readiness and global competence.