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Entrepreneurship plays a significant role in global economic growth. However, not all entrepreneurs achieve success. This study aims to deeply examine the mindset and character that serve as the fundamental basis for entrepreneurial success, as well as the influencing factors and strategies for fostering these qualities based on a literature review. Through a literature review method, it was found that successful entrepreneurs possess a growth mindset, are solution-oriented, and adaptive, supported by specific thinking methods like BETSCA (Bricolage, Effectuation, Think Structurally, Cognitive Adaptability). Furthermore, key characters such as commitment, creativity, resilience, risk-taking propensity, and networking ability are crucial elements. The study also identified various driving factors and types of motivation (intrinsic-extrinsic) in entrepreneurship. Another important finding is that the entrepreneurial spirit and character can be learned and developed through personal commitment, a supportive environment, education, and continuous learning processes. The conclusion of this study asserts that the combination of the right mindset and strong character, along with the ability to continuously develop both, is essential for increasing the chances of success in the world of entrepreneurship.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

Organizational fraud represents a significant global challenge, with estimated annual losses of 5% of revenue, totaling approximately US$4.7 trillion worldwide. This systematic literature review examines whistleblowing effectiveness as a fraud detection mechanism, analyzing the tension between its role as a transparency pillar and the retaliatory risks faced by whistleblowers. The study employed a qualitative Systematic Literature Review methodology, analyzing 25 peer-reviewed articles published between 2020-2025 from SINTA, Scopus, and registered E-ISSN journals. Literature was selected using keywords related to whistleblowing effectiveness, fraud detection, transparency mechanisms, and retaliation risk. Results demonstrate that whistleblowing systems significantly enhance fraud detection and prevention across both public and private sectors, with 24 of 25 reviewed studies confirming positive impacts. Effectiveness is influenced by individual attitudes, perceived behavioral control, organizational commitment, professional commitment, moral reasoning, and organizational culture. The integration of whistleblowing with forensic and investigative audit mechanisms creates a mutually reinforcing fraud detection framework. However, retaliation risk remains a substantial challenge, potentially undermining whistleblowing effectiveness. The study concludes that organizations must develop comprehensive whistleblower protection frameworks, cultivate supportive organizational cultures, ensure transparent report handling processes, and leverage technology to guarantee anonymity. A balanced approach between promoting transparency through whistleblowing and protecting whistleblowers from retaliation is essential for maximizing fraud detection effectiveness. Organizations are advised to integrate whistleblowing into comprehensive anti-fraud strategies with adequate protection mechanisms and whistleblower incentives.

This study aims to optimize sales profit at the MSME Batagor Bandung Tarakan by applying the Simplex method in linear programming, supported by the POM-QM for Windows software. Profit optimization plays a crucial role in strategic decision-making, particularly in determining the optimal daily production quantities to enhance operational efficiency, maximize the use of raw materials, and meet market demand effectively. The Simplex method was chosen for its ability to solve linear optimization problems involving multiple constraints and variables, providing accurate mathematical solutions to achieve maximum profit. This research utilizes daily production data as the basis for analysis, which is then processed using the Simplex method in POM-QM. The results show that implementing the Simplex method can increase daily profits from IDR 634,000 to IDR 831,408 through a more efficient production combination. The study concludes that the Simplex method, when applied via the POM-QM software, is an effective tool for daily production decision-making and can support MSMEs like Batagor Bandung Tarakan in improving their competitiveness and business sustainability.

Penelitian ini bertujuan untuk Untuk mengetahui pengaruh infrastruktur jalan terhadap pertumbuhan ekonomi, pengaruh infrastruktur listrik terhadap pertumbuhan ekonomi dan pengaruh infrastruktur jalan dan listrik terhadap pertumbuhan ekonomi di Indonesia. Jenis penelitian ini menggunaan penelitian kuantitatif. enelitian ini menggunakan data sekunder. Data sekunder yaitu data yang diperoleh dalam bentuk jadi dan telah diolah oleh pihak lainnya yang biasanya dalam bentuk publikasi. Jenis data yang digunakan berupa data Time Series (runtun waktu). Sumber data diperoleh dari Badan Pusat Statistik (BPS). Metode yang digunakan dalam penelitian ini adalah Regresi Linier Berganda. Berdasarkan penelitian yang telah dilakukan mengenai pengaruh infrastruktur terhadap pertumbuhan ekonomi di Provinsi Aceh, dalam penelitian dapat menarik kesimpulan bahwa Variabel infrastruktur jalan yang terdapat nilai probabilitasnya yaitu sebesar 0.1804 > 0.05 sehinngga dapat disimpulkan bahwa infrastruktur jalan tidak berpengaruh terhadap pertumbuhan ekonomi. Variabel infrastruktur listrik yang terdapat nilai probabilitasnya yaitu sebesar 0.0220 < 0.05 sehinngga dapat disimpulkan bahwa infrastruktur listrik berpengaruh terhadap pertumbuhan ekonomi   Kata kunci: Pusat Pertumbuhan Ekonomi, Infrastruktur Jalan, Infrastruktur Listrik

This research aims to analyze the strategic position of the Village Unit Cooperative (KUD) Cilongok using the Strategic Position and Action Evaluation (SPACE) Matrix method and formulate development strategies for savings and loan units and supermarket businesses. The research method uses a quantitative-qualitative approach with data collection techniques through observation, interviews, and documentation. SPACE Matrix analysis is carried out by identifying factors of financial strength, competitive advantage, industry strength, and environmental stability. The results show that KUD Cilongok is in an aggressive quadrant position with relatively high values of financial strength and industry strength. The recommended strategies include market penetration, market development, product development, and business diversification. The implementation of these strategies is expected to improve the performance of KUD Cilongok's savings and loan units and supermarket businesses, as well as improve the welfare of members and the surrounding community.

Inovasi sosial dan kewirausahaan sosial telah menjadi strategi utama dalam menciptakan solusi berkelanjutan bagi tantangan sosial dan ekonomi yang tidak dapat diselesaikan oleh pendekatan bisnis konvensional. Makalah ini bertujuan untuk: 1) Menganalisis inovasi sosial dan perannya dalam kewirausahaan sosial; 2) Mengidentifikasi hubungan antara inovasi sosial dan keberlanjutan UMKM dalam konteks ekonomi berbasis dampak sosial; 3) Menjelaskan faktor-faktor utama yang mempengaruhi keberhasilan kewirausahaan sosial. Hasil penelitian menunjukkan inovasi sosial berkontribusi dalam meningkatkan daya saing dan ketahanan UMKM melalui penerapan model bisnis berbasis dampak sosial, ekonomi sirkular, serta digitalisasi bisnis. Keberhasilan kewirausahaan sosial dipengaruhi oleh faktor internal, seperti kepemimpinan yang visioner, strategi pengelolaan sumber daya manusia yang efektif, serta model bisnis yang adaptif dan inovatif. Sementara itu, faktor eksternal yang berperan mencakup dukungan kebijakan pemerintah, akses terhadap pendanaan berbasis dampak sosial, serta kemitraan strategis dengan sektor swasta dan akademisi. Indikator utama keberhasilan kewirausahaan sosial mencakup pengukuran dampak sosial dan ekonomi, keberlanjutan finansial dan operasional, serta efektivitas model bisnis dalam menjangkau masyarakat yang lebih luas. Sebagai implikasi, makalah ini merekomendasikan penguatan kebijakan publik yang mendukung bisnis sosial, peningkatan akses pendanaan berbasis dampak, serta integrasi inovasi sosial dalam strategi pengembangan UMKM. Dengan menciptakan ekosistem yang lebih mendukung bagi kewirausahaan sosial, diharapkan inovasi sosial dapat menjadi pilar utama dalam pembangunan ekonomi yang lebih inklusif dan berkelanjutan.

Managing human resources and entrepreneurship are two crucial components of any successful organization. Human resources management focuses on recruiting, training, and retaining employees to ensure they can perform their job duties effectively. On the other hand, entrepreneurship involves the creation and development of new business ventures, products, or services. Both areas play a significant role in the overall success and growth of a company. In this paper, we will explore the intersection of human resources management and entrepreneurship, examining how these two disciplines can work together to drive innovation and organizational success. By leveraging the expertise and creativity of both HR professionals and entrepreneurs, companies can cultivate a culture of innovation and adaptability. This collaboration can lead to the development of cutting-edge products and services, as well as the implementation of forward-thinking HR practices that attract and retain top talent. However, integrating HR and entrepreneurship may also present challenges, such as balancing risk-taking with employee well-being and ensuring that organizational goals align with individual aspirations. Despite these obstacles, the potential benefits of combining these disciplines are vast, offering companies a strategic advantage in today's competitive business landscape.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.

The authors of the article have chosen a company acting as an agent for a container shipping line because the company seeks to decrease its service failures and reduce the chaotic nature of its activities by systematizing them from a scientific point of view and refining its operations at the managerial level. Employees of the company are responsible for activities such as a search for customers, price offers, contacting clients, the conclusion of contracts, coordination of cargo transportation, document control, invoicing and payment control. Proper execution of these operations ensures the quality of services provided by the container line agent. The learning organization concept, situational management theory and total quality management theory are applicable to the management of the personnel activity process in the line. In terms of management functions, planning is more suitable for activities such as searching for customers, price offers, conclusion of contracts and invoicing; organizing is more required when searching for customers, contacting them and concluding contracts; leading is more suitable for activities such as contact with clients, conclusion of contracts and payment control; control is more required when contacting customers, coordinating cargo transportation, invoicing and controlling payment. A conceptual approach that theoretically reveals the principles and possibilities of the company’s activities in the container shipping line can serve as the basis for future empirical research to identify problems in its personnel activity management.

"Insider" practices and "privileges" are often overlooked in human resource management (HRM) discourse, despite their significant impact on organizational justice, employee motivation, and overall performance. This article explores how informal connections and preferential treatment undermine meritocratic systems, distort perceptions of fairness, and reduce job satisfaction and employee commitment. Using a qualitative case study approach, the findings reveal that perceptions of injustice caused by informal practices—such as promotions based on personal ties, biased performance evaluations, and exclusive access to opportunities—can significantly weaken both intrinsic and extrinsic employee motivation. The study highlights the urgency of implementing transparent, accountable, and performance-based reward systems as strategic efforts to foster a fair and healthy organizational culture. Practically, organizations must develop HRM policies that are not only procedurally fair but also perceived as equitable to sustain long-term employee productivity and retention.

This article explores the marketing strategies implemented by various banking institutions in Semarang City through a literature review approach. The study aims to analyze marketing practices that focus on service quality, customer satisfaction, community-based engagement, and Sharia-compliant innovation. The findings indicate that banks such as PT. BPR BKK Kota Semarang, Bank Jateng, BPR Arto Moro, and Bank Syariah Mitra Harmoni employ various strategies to reach diverse market segments by enhancing service quality, strengthening community ties, and integrating local cultural and Islamic values into their financial products. These strategies have been proven to improve customer satisfaction and loyalty. This study provides both theoretical and practical contributions to the development of locally responsive bank marketing strategies aligned with social and cultural needs.

This research investigates the impact of brand awareness and online customer reviews on purchase intention regarding Adidas products on the Shopee platform in Indonesia. The research background is founded on the growth of e-commerce and the intense competition present in Indonesia’s fashion industry. A quantitative method employing a survey approach was utilized, engaging 150 Shopee users who are familiar with Adidas products. Data analysis encompassed descriptive tests, classical assumption tests, multiple linear regression, hypothesis testing, and the coefficient of determination, all performed using SPSS version 27. The results demonstrate that brand awareness and online customer reviews have a positive and significant effect on consumer purchase intention, both individually and collectively. These findings imply that greater brand awareness and the quality of reviews are associated with an increase in purchase intention for Adidas products on Shopee. This research offers insights for Adidas Indonesia regarding the significance of enhancing brand awareness and fostering authentic reviews through exclusive promotions, review incentives, and the use of the “Verified Purchase” feature. Future research should be encouraged to integrate additional variables such as price and product quality for a more comprehensive analysis

MSMEs play a key role in the national economy, especially in increasing economic growth and creating new jobs. However, in the digital era, MSMEs face major problems, such as low levels of digital literacy, limited access to the internet, and fierce competition with large companies that have used technology before. This study examines the variables that influence the sustainability of MSMEs amidst digital challenges and finds methods that can be used so that MSMEs can survive and grow. The research method was carried out through surveys and direct interviews with MSME actors at Pasar Pagi Setia Budi, Medan, North Sumatra. The results of the study showed that most MSME actors did not utilize digital platforms for marketing and transactions, which resulted in decreased income. To increase competitiveness, MSMEs need to improve their digital knowledge, adopt online marketing strategies, and optimize the use of e-commerce and social media. Support from the government, financial institutions, and technology companies is also very important. In the increasingly competitive digital era, by implementing the right digitalization strategy, MSMEs can improve operational efficiency, expand market reach, and maintain the sustainability of their business.

Micro, Small and Medium Enterprises are one of the most important pillars of the economy in Indonesia. MSMEs contribute significantly to Gross Domestic Product, employment, and regional development through income equality. This study attempts to obtain relevant answers regarding the strategic role of MSMEs in sustainable economic development in Indonesia, as well as the obstacles faced by this sector. Despite the government's role in sustainably encouraging MSMEs, this study shows that MSMEs still have difficulty accessing capital, government policies, and digitalization. This study uses a descriptive method to identify data that produces a good understanding of the factors that build the success of MSMEs. The results of the study show that the contribution of MSMEs to GDP is around 61.07%, employing 97% of the total number of jobs, namely MSMEs are quite important for the government and other stakeholders in supporting the role of MSMEs in inclusive and sustainable economic development.

Cloud-Based Accounting Systems (CBAS) are technological innovations that support digital transformation in financial management by increasing efficiency, transparency, and real-time data access. This system helps companies reduce manual recording errors, improve reporting accuracy, and accelerate data-based decision-making processes. In addition, CBAS also has advantages in terms of flexibility of use and compliance with accounting standards, making it a relevant solution for modern companies. Although CBAS offers many benefits, its implementation can also create a perception of technological superiority that does not fully reflect reality if it is not balanced with organizational and human resource readiness. Challenges often faced in implementing CBAS include dependence on cloud services, data security threats, and errors in system input or configuration that can lead to inaccurate financial reports. In addition, overly high expectations for automation can lead to neglect of manual supervision that is still needed to maintain the reliability of financial information. The success of CBAS implementation is highly dependent on a well-designed implementation strategy, adequate user training, and appropriate risk mitigation measures. With careful planning and a strategic approach, CBAS can serve as a tool that increases financial transparency and efficiency, not just a technology trend that provides no real benefits.

The existence of micro, small and medium enterprises, especially in Bandar Lampung City, is not free from obstacles, one of which is related to bookkeeping or financial reporting. Mobile accounting-based applications are present as one of the technologies that are expected to overcome the problems faced by micro, small and medium enterprises. This study was conducted to determine the factors that influence the interest in implementing mobile-based accounting in micro, small and medium enterprises in Bandar Lampung City. The theory used in this study is UTAUT which consists of performance expectations, social influences and facilitating conditions. From the results of the study, it was obtained that performance expectations influenced the interest in implementing mobile accounting. Social influences did not affect the interest in implementing mobile accounting. Conditions that helped influence the interest in implementing mobile accounting.

This study aims to measure the business performance of CV XYZ through the perspectives of finance, customers, internal business processes, growth and learning of the balanced scorecard method at CV XYZ in 2023. The data used is primary data, in the form of data from interviews with CV XYZ managers or those who have authority over CV XYZ business performance data. The results of the study can be concluded that based on research on the financial perspective, the results of the calculation of current ratio, revenue growth, debt to total assets, debt to equity, return on equity, return on assets and net profit margin get “good” criteria. In the customer perspective, the results of the calculation of customer retention get “sufficient” criteria, while the results of the calculation of customer acquisition and customer complaints get “good” criteria. In the internal business process perspective, the results of the calculation of minimize error rate and rework, and agreements with third parties get the “good” criteria. In the growth and learning perspective, the results of the calculation of employee retention get the criteria “sufficient”, employee training gets the criteria “good” and absenteeism gets the criteria “not good”.

Artificial Intelligence (AI) is increasingly used in financial accounting to improve decision-making effectiveness. This research analyzes the role of AI in supporting data-driven decision making and identifies challenges in its implementation. Using a qualitative approach with the Systematic Literature Review (SLR) method, this study reviewed 41 relevant articles from national and international journals. The results showed that 28 studies supported the effectiveness of AI in improving financial decision-making by automating transaction recording, enabling algorithm-based predictive analysis, and detecting financial anomalies. AI enables companies to respond faster to market changes, increase transparency of financial reports, and reduce human errors in accounting processes.However, 13 studies highlighted challenges such as technological complexity, limited transparency in decision-making, algorithmic bias, and organizational readiness. In addition, evolving regulations are an obstacle to ensuring optimal use of AI while minimizing ethical and legal risks. The success of AI in financial decision-making depends on infrastructure readiness, regulatory support, and human resource competencies. Without a well-planned strategy, AI may pose new challenges that hinder its effectiveness. Therefore, this study provides insights into the optimal AI implementation strategy to ensure that this technology improves the accuracy and transparency of decision making while maintaining financial accounting accountability.

Micro, Small, and Medium Enterprises (UMKM) play a crucial role in the national economy. However, significant challenges such as limited resources, market access, and inadequate managerial capabilities remain obstacles to enhancing competitiveness. Developing managerial capacity through technological innovation has become a strategic solution for UMKM to survive and grow in the digital era. This study aims to analyze the importance of developing managerial capacity in improving UMKM competitiveness through technology adoption. The research method used is a literature review and analysis of secondary data from various relevant sources. The findings indicate that technological innovation in managerial aspects, such as the use of digital systems for marketing, finance, and operations, positively impacts efficiency and competitiveness. Therefore, appropriate strategies are needed to enhance UMKM managerial capacity in adopting technology to compete globally.