http://localhost:8080/xmlui/handle/123456789/13164 Tue, 14 Apr 2026 20:45:16 GMT 2026-04-14T20:45:16Z http://localhost:8080/xmlui/handle/123456789/13184 Title: WORK-LIFE BALANCE AND CAREER DEVELOPMENT: HOW JOB SATISFACTION MEDIATES THEIR IMPACT ON TURNOVER INTENTION AMONG INDONESIAN GENERATION Z? Authors: Jamalulel, Idrus; Chang, Chwen-Li Abstract: This study examines how balancing workplace responsibilities and personal life, along with opportunities for career development, influences the decision to leave a job, with job satisfaction acting as a mediating variable among Generation Z employees in Indonesia. A total of 393 Gen Z employees aged 18–26 from West Java, Indonesia, participated in a survey selected through convenience sampling. Data were analyzed using SPSS 23 software with regression analysis techniques. The findings reveal that: (1) Work-Life Balance significantly influences Job Satisfaction; (2) Career Development significantly influences Job Satisfaction; (3) Work-Life Balance affects Turnover Intention; (4) Career Development affects Turnover Intention; (5) Job Satisfaction significantly influences Turnover Intention; (6) Work-Life Balance indirectly reduces Turnover Intention through Job Satisfaction; and (7) Career Development indirectly reduces Turnover Intention through Job Satisfaction. These results provide practical insights into creating supportive work environments, such as offering flexible work arrangements and alternative scheduling, to meet the unique needs and preferences of Generation Z. Overall, the study enhances our understanding of the interrelationships among Work-Life Balance, Career Development, Job Satisfaction, and Turnover Intention in the context of Gen Z employees in Indonesia. Mon, 01 Sep 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/13184 2025-09-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/13183 Title: IMPULSIVENESS AND MARKETING STRATEGIES IN THE DIGITAL ERA: A SYSTEMATIC REVIEW Authors: Wulansari, Ajeng Septiana; Paramita, Widya; Dharmmesta, Basu Swastha; Nugroho, Sahid Susilo Abstract: The unpredictability and interaction between logic and emotion make impulse buying a fascinating and unique consumer behavior, especially in a digital setting. Previous research has focused on general consumer behavior or offline impulse buying, often overlooking modern digital triggers. This study aims to synthesize and critically review existing research on online impulse buying, emphasizing the factors that drive this behavior in digital environments. This study is a systematic literature review employing two underlying frameworks: the PRISMA protocol for data screening to ensure methodological rigor, transparency, and completeness, and the SOR framework for explaining the findings. Based on a systematic review of 143 articles from the Scopus database with a time range of 2009-2025, our study finds that (1) the literature is predominantly grounded in the SOR framework, with limited adoption of emerging or integrative theoretical models.; (2) research remains focused on general e-commerce, with insufficient exploration of newer digital contexts such as social commerce and live-streaming; and (3) there is an imbalance in emphasis, with external stimuli widely studied while internal psychological drivers receive comparatively less attention; (4) the field is methodologically constrained, relying heavily on surveys with minimal use of experimental or qualitative approaches. This research provides a comprehensive foundation for future studies in this evolving field. It uniquely contributes by integrating multidisciplinary perspectives (e.g., psychology, technology, and marketing) and highlighting how contemporary innovations, like technology-driven platforms and live-stream shopping, impact consumer behavior. Mon, 01 Sep 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/13183 2025-09-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/13182 Title: MAPPING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON MANAGEMENT AND COMMERCE: A BIBLIOMETRIC ANALYSIS Authors: Rani, Barkha; Kumar, Akhil Abstract: This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) in commerce and management, focusing on scholarly publications indexed in the Web of Science (WOS) database between 2019 and 2023. AI has emerged as a pivotal research area; however, few studies have addressed its bibliometric dimensions. This study aims to bridge this gap by evaluating the academic landscape and comparing AI research to assess its impact on decision-making in business management. Data for the analysis was collected from WOS, and performance analysis and science mapping were conducted using R-Studio and MS Excel. The findings highlight AI’s growing role in enhancing business functions, including decision-making, process optimization, and innovation. Key themes include "performance" (9%), "innovation" (6%), and "integration" (3%), reflecting AI’s potential in improving organizational efficiency and competitiveness. The research reveals an annual growth rate of 9.05%, with a peak in 2022, and underscores the significant influence of international collaboration, particularly in smaller countries such as Canada and Australia. The study identifies the USA and China as leading contributors and highlights the concentrated influence of a few prolific scholars and journals. The analysis concludes that AI is an indispensable tool for enhancing agility and adaptability in business management, positioning it as a strategic asset in a rapidly evolving global marketplace. Mon, 01 Sep 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/13182 2025-09-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/13181 Title: BANK FAILURE DURING THE COVID-19 PANDEMIC: DO CAMEL RATING MATTER? Authors: Mongid, Abdul; Muazaroh; Khusaeri, Suhal; Suhartono, Suhartono Abstract: This paper examines the risk of bank bankruptcy during the Covid-19 pandemic using logistic methods and logistic panels using data from Asia. After data cleaning, the total sample that meets the requirements consists of 1064 banks. Of the total sample, 19% were in the bankruptcy category. The results indicate that the eta capital ratio and the net interest income variable had a negative and significant effect. The credit risk variable, measured by NPL and non-operating cost variables, have a positive and significant effect. The positive coefficient results increase the risk of bankruptcy and vice versa. The liquidity and dependence on money market variables only affect the logistic model. For the dummy variable (D2020), the results are positive and significant, indicating that the impact of COVID-19 had significantly increased the risk of bankruptcy. This finding is robust even though it only includes company-level characteristic variables. Mon, 01 Sep 2025 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/13181 2025-09-01T00:00:00Z