Aug 2026· SECONDARY: Jurnal Inovasi Pendidikan Menengah· 0 citations· 18 references
Financial Literacy and Behavior
Abstract
ABSTRACT
This study aims to examine and provide empirical evidence regarding the effect of utilizing Artificial Intelligence (AI) as a learning medium in accounting education on students’ financial management behavior, both directly and through financial literacy as a mediating variable. This study is important given the rapid development of AI technology in education, while students’ ability to understand and manage their finances wisely needs to be continuously strengthened. Therefore, empirical research is needed to determine whether the use of AI in accounting education can contribute to improving students’ financial literacy and financial management behavior. This study employs a quantitative approach using a survey method. The research sample consisted of 35 eleventh-grade accounting students at SMK Negeri 6 Medan, selected through purposive sampling based on the criterion that participants were active users of AI technology. Data were collected using a closed-ended questionnaire with a Likert scale, while data analysis was conducted using simple and multiple linear regression and the Sobel test, processed using SPSS software. The results show that AI utilization has a positive and significant effect on financial literacy, with a contribution of 61.6%, and has a direct effect on financial management behavior of 65.5%. Financial literacy also has a significant partial effect on financial management behavior, with a contribution of 80.4%. Simultaneously, AI utilization and financial literacy influence financial management behavior by 83.3%. The Sobel test further demonstrates that financial literacy significantly serves as a partial mediator in the relationship between AI utilization and students’ financial management behavior. In conclusion, the utilization of AI as a learning medium in accounting education is an effective strategy for developing students’ financial literacy and financial management behavior in an integrated manner.
ABSTRAK
Penelitian ini bertujuan untuk menguji dan memberikan bukti empiris mengenai pengaruh pemanfaatan Artificial Intelligence (AI) sebagai media pembelajaran akuntansi terhadap perilaku pengelolaan keuangan siswa, baik secara langsung maupun melalui literasi keuangan sebagai variabel mediasi. Penelitian ini penting dilakukan mengingat perkembangan teknologi AI dalam pembelajaran semakin pesat, sementara kemampuan siswa dalam memahami dan mengelola keuangan secara bijak perlu terus diperkuat. Oleh karena itu, diperlukan kajian empiris untuk mengetahui apakah pemanfaatan AI dalam pembelajaran akuntansi dapat berkontribusi terhadap peningkatan literasi keuangan dan perilaku pengelolaan keuangan siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei. Sampel penelitian berjumlah 35 siswa kelas XI jurusan Akuntansi di SMK Negeri 6 Medan yang dipilih melalui teknik purposive sampling dengan kriteria merupakan pengguna aktif teknologi AI. Pengumpulan data dilakukan menggunakan instrumen kuesioner tertutup berskala Likert, sedangkan analisis data menggunakan regresi linier (sederhana dan berganda) serta Uji Sobel yang diolah menggunakan perangkat lunak SPSS. Hasil penelitian menunjukkan bahwa pemanfaatan AI berpengaruh positif dan signifikan terhadap literasi keuangan dengan kontribusi sebesar 61,6%, serta berpengaruh langsung terhadap perilaku pengelolaan keuangan sebesar 65,5%. Literasi keuangan secara parsial juga berpengaruh signifikan terhadap perilaku pengelolaan keuangan sebesar 80,4%. Secara simultan, pemanfaatan AI dan literasi keuangan memengaruhi perilaku pengelolaan keuangan sebesar 83,3%. Melalui pengujian Uji Sobel, literasi keuangan terbukti secara signifikan berperan sebagai mediator parsial (partial mediation) dalam hubungan antara pemanfaatan AI dan perilaku pengelolaan keuangan siswa. Kesimpulannya, pemanfaatan AI sebagai media pembelajaran akuntansi terbukti menjadi strategi efektif yang mampu membentuk literasi keuangan dan perilaku pengelolaan keuangan siswa secara terintegrasi.
Agile - denoting "the quality of being agile, readiness for motion, nimbleness, activity, dexterity in motion" - software development methods are attempting to offer an answer to the eager business community asking for lighter weight along with faster and nimbler software development processes. This is especially the case with the rapidly growing and volatile Internet software industry as well as for the emerging mobile application environment. The new agile methods have evoked substantial amount of literature and debates. However, academic research on the subject is still scarce, as most of existing publications are written by practitioners or consultants. The aim of this publication is to begin filling this gap by systematically reviewing the existing literature on agile software development methodologies. This publication has three purposes. First, it proposes a definition and a classification of agile software development approaches. Second, it analyses ten software development methods that can be characterized as being "agile" against the defined criterion. Third, it compares these methods and highlights their similarities and differences. Based on this analysis, future research needs are identified and discussed.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 728 citations· ⚡54
Context: Software startups are newly created companies with no operating history and fast in producing cutting-edge technologies. These companies develop software under highly uncertain conditions, tackling fast-growing markets under severe lack of resources. Therefore, software startups present a unique combination of characteristics which pose several challenges to software development activities. Objective: This study aims to structure and analyze the literature on software development in startup companies, determining thereby the potential for technology transfer and identifying software development work practices reported by practitioners and researchers. Method: We conducted a systematic mapping study, developing a classification schema, ranking the selected primary studies according their rigor and relevance, and analyzing reported software development work practices in startups. Results: A total of 43 primary studies were identified and mapped, synthesizing the available evidence on software development in startups. Only 16 studies are entirely dedicated to software development in startups, of which 10 result in a weak contribution (advice and implications (6); lesson learned (3); tool (1)). Nineteen studies focus on managerial and organizational factors. Moreover, only 9 studies exhibit high scientific rigor and relevance. From the reviewed primary studies, 213 software engineering work practices were extracted, categorized and analyzed. Conclusion: This mapping study provides the first systematic exploration of the state-of-art on software startup research. The existing body of knowledge is limited to a few high quality studies. Furthermore, the results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The growing literature on affect among software developers mostly reports on the linkage between happiness, software quality, and developer productivity. Understanding happiness and unhappiness in all its components -- positive and negative emotions and moods -- is an attractive and important endeavor. Scholars in industrial and organizational psychology have suggested that understanding happiness and unhappiness could lead to cost-effective ways of enhancing working conditions, job performance, and to limiting the occurrence of psychological disorders. Our comprehension of the consequences of (un)happiness among developers is still too shallow, being mainly expressed in terms of development productivity and software quality. In this paper, we study what happens when developers are happy and unhappy while developing software. Qualitative data analysis of responses given by 317 questionnaire participants identified 42 consequences of unhappiness and 32 of happiness. We found consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts. Our classification scheme, available as open data enables new happiness research opportunities of cause-effect type, and it can act as a guideline for practitioners for identifying damaging effects of unhappiness and for fostering happiness on the job.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· Journal of Systems and Softw...· 236 citations· ⚡13
Mobile phones have been closed environments until recent years. The change brought by open platform technologies such as the Symbian operating system and Java technologies has opened up a significant business opportunity for anyone to develop application software such as games for mobile terminals. However, developing mobile applications is currently a challenging task due to the specific demands and technical constraints of mobile development. Furthermore, at the moment very little is known about the suitability of the different development processes for mobile application development. Due to these issues, we have developed an agile development approach called Mobile-D. The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed.
P. Abrahamsson, Antti Hanhineva, H. Hulkko et al.· Conference on Object-Oriente...· 225 citations· ⚡18
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