Abstract:Maintaining employees’ Work-Life Balance (WLB) remains a major challenge for organizations operating under high operational demands. This study examines the effect of Individualized Consideration on Work-Life Balance through…
hrough Organizational Citizenship Behavior (OCB), with Work Overload as a moderating variable. A quantitative explanatory approach was employed using a census survey involving 149 operational employees at PT PLN (Persero) UPT Cikupa, Indonesia. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4. The findings reveal that Individualized Consideration has a positive and significant effect on Organizational Citizenship Behavior but does not have a significant direct effect on Work-Life Balance. Organizational Citizenship Behavior, in turn, has a positive and significant effect on Work-Life Balance and fully mediates the relationship between Individualized Consideration and Work-Life Balance. Meanwhile, Work Overload does not significantly moderate the relationship between Individualized Consideration and Work-Life Balance. These findings demonstrate that individualized leadership contributes to employees’ Work-Life Balance primarily through the development of Organizational Citizenship Behavior rather than through a direct mechanism, particularly in a high-demand operational environment. Practically, the study suggests that organizations should strengthen Organizational Citizenship Behavior by fostering collaboration, voluntary support, and constructive interpersonal behavior among employees, rather than relying solely on individualized leadership practices to improve Work-Life Balance.
Abstract:This study aims to analyze stock market reactions to Cum-Ex Dividend announcements for companies listed on the Indonesia Stock Exchange (IDX) in 2024. Market reactions were measured through abnormal returns and stock trading…
ding volume before and after Cum-Ex Dividend announcements. This study was motivated by differences in investor behavior in responding to dividend distribution information, which is regarded as a positive signal for the market. The research employed a comparative quantitative method with an event study approach. The sampling technique used was purposive sampling. Secondary data were obtained from the Indonesia Stock Exchange, comprising a sample of 88 issuers that distributed cash dividends. Research variables consisted of stock prices and stock trading volume. Data analysis was performed using dummy regression and the Wilcoxon Signed Rank Test with EViews 12 software. The results showed that the majority of issuers (81.82%) experienced significant market reactions to the Cum-Ex Dividend announcement. A total of 56.82% of issuers showed significant negative reactions consistent with the dividend drop theory, while 25% showed significant positive reactions, indicating that investors viewed dividends as a positive signal for company prospects. Meanwhile, 18.18% of issuers showed no significant reaction to dividend announcements. This study demonstrates that Cum-Ex Dividend announcements affect abnormal returns and stock trading volume, thus providing a basis for investor consideration in making investment decisions in the capital market.
Abstract:This study aims to analyze newsroom convergence processes and newsroom models implemented by Tribun Pekanbaru and Riau Pos, while also examining how newsroom convergence is utilized as an economic strategy to maintain the…
e sustainability of local media businesses amid digital disruption. The research employed a qualitative descriptive approach through in-depth interviews, observation, and documentation studies involving newsroom managers, editors, and journalists from both media organizations. The findings indicate that Tribun Pekanbaru and Riau Pos have adopted different newsroom convergence strategies. Tribun Pekanbaru has implemented an integrated newsroom model that combines Cross Media Newsroom and Integrated Media Newsroom approaches, emphasizing digital-first production and multi-platform content distribution. Meanwhile, Riau Pos continues to maintain a separated newsroom model between print and digital divisions, reflecting a gradual adaptation process toward digital transformation. The study further reveals that these differences are influenced not only by technological factors and organizational culture but also by economic considerations. Tribun Pekanbaru develops an integrated newsroom to improve production efficiency and expand digital content monetization, while Riau Pos maintains separated newsrooms because print media remains a significant source of company revenue. This study concludes that newsroom convergence has evolved beyond a technological transformation into an economic adaptation strategy for local media organizations. The findings suggest that newsroom convergence enables media companies to improve operational efficiency, broaden audience reach, optimize resource utilization, and strengthen business sustainability in an increasingly competitive digital environment.
Abstract:The expansion of digital financial services has contributed to the increasing adoption of digital wallet applications such as OVO in community transaction activities. In this context, the decision to use an application is…
s determined not simply through system-related technical aspects, alongside psychological and operational considerations. This research focuses on examining the influence of the accounting information system quality, user trust, and service quality on the decision to use the OVO application in Surabaya City. Primary data were used in this study, which employed a quantitative approach. Purposive sampling was applied to obtain 100 respondents. The data were gathered through online questionnaires distributed via Google Forms to OVO users in Surabaya City and then analyzed using SPSS Statistics 26. This study involved respondents who were users of the OVO e-wallet in Surabaya City. The results demonstrate that the quality of the accounting information system, user trust, and service quality contribute positively to the decision to use the OVO application in Surabaya City. The use decision regarding the OVO application in Surabaya City is driven by the interplay of sound system quality, strong user trust, and sufficient service quality.
Abstract:This study develops a practical framework for evaluating AI-generated brand visuals in a marketing communication context. Using a qualitative case study of an Indonesian sustainable startup (I-NewBee), the research employs…
ys photo-elicitation interviews to compare consumer evaluations of brand assets generated by three text-to-image tools (Midjourney, Neural Love AI, and Leonardo AI). Twelve target-market participants assessed anonymized visual sets (A/B/C) produced under a standardized prompt structure, using a semi-structured protocol informed by attention-stage cues from the AISAS model. Expert input from a visual communication design practitioner was used to triangulate judgments on visual quality and brand fit. Data were analyzed through iterative coding and thematic synthesis to identify recurring evaluation dimensions and decision cues. The findings suggest that perceived brand fit is shaped by visual realism, compositional clarity, brand-consistent signals, and message interpretability, while prompt ambiguity and inconsistent visual cues reduce credibility. The paper contributes an actionable evaluation framework expressed as evaluation dimensions and prompt-design considerations for startups seeking to deploy generative AI responsibly in brand communication
Abstract:This study investigates the influence of artificial intelligence (AI) integration on strategic financial management in large corporations. Focusing on a sample of 20 Fortune 500 companies from diverse industries, the research…
earch employs a quantitative, descriptive-analytical approach utilizing secondary data from financial reports and AI system logs. The findings reveal that AI adoption significantly enhances forecasting accuracy, risk identification, and operational efficiency, while also enabling financial managers to redirect resources toward creative and strategic initiatives. However, the study also identifies challenges related to data quality, ethical considerations, and skill gaps in AI utilization. The results highlight the importance of a balanced approach that combines AI-driven insights with managerial intuition to maximize value creation in the digital age.
Abstract:Artificial intelligence is likely to have a significant impact on marketing strategies and customer behaviors in the years ahead. Research in this field has grown considerably, demonstrating AI's ability to simulate human…
n behavior and perform tasks intelligently. With growing interest among marketing researchers and practitioners, this research aims to provide an overview of the evolution of both marketing and AI research fields. This paper explores the emerging role of artificial intelligence in personalized engagement marketing, which focuses on creating, communicating, and delivering customized offerings to customers. Utilizing the Systematic Literature Review technique, we examined over 300 academic articles to uncover prevalent themes and gain a deeper understanding of current AI utilization in marketing. We then propose a plan for future research that examines potential changes in marketing strategies and customer behaviors while emphasizing critical policy considerations related to privacy, bias, and ethics. The implications for marketing managers are discussed along with predictions about how AI will impact branding and customer management practices going forward. Our research highlighted several benefits of integrating AI into marketing such as improved customer interactions, increased revenue, reduced expenses, and enhanced overall efficiency. However, this research also pointed out areas requiring further investigation including challenges posed by AI integration like shortage of skilled personnel and data privacy concerns.
Abstract:Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread…
ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.
Abstract:Red onion is a vegetable commodity that has high economic value in terms of fulfilling national consumption and sources of income. There are 2 types of shallots planted by farmers in the Tande Village, namely Tajuk and Manjung.…
anjung. There fore we want to see which variety is more profitable. This study aims: (1) to compare the productivity of Tajuk and Manjung shallot farming in Tande Village, East Banggae District, East Banggae Regency (2) to determine the comparison of Tajuk and Manjung shallot farming income in Tande Village, East Banggae District, East Banggae Regency. The research method used is by means of purposive sampling by way of consideration that is having a lot of farmer groups. The samples in this study were 20 farmers of the Tajuk variety and 20 samples of the Manjung variety of shallot farmers. The results showed that (1) the average shallot productivity for the Tajuk variety (Sipatuo Farmers Group) on a 3.40 ha land area was 3.42 tons/ha with an average production of 11.53 tons, and on a 1 ha land area the average the average productivity is 8.50 tons/ha with a total production of 8.50 tons. Whereas for the Manjung variety (Lestari Green Farming Group) the average productivity on a land area of 3.25 Ha is 3.18 Tons/Ha with a total production of 10.32 Tons, - the average shallot productivity on 1 Ha land is 7.90 Tons /Ha with total production of 7.90 tons. (2) the average income of Tajuk shallot farmers is greater than the average income of Manjung shallot farmers. The average income of shallot crowns on a land area of 3.40 Ha is Rp. 79,694,286 the average income of farmers on 1 Ha of land is Rp. 132,486,668. Whereas for the Manjung variety, the average income on a land area of 3.25 is Rp. 63,679,020, - the average income of farmers on 1 Ha of land is Rp. 120,517,501.
Abstract:This study aims to examine and analyze the effect of financial literacy and financial inclusion on the financial performance of MSMEs in Makassar City. Sources of data in this study are primary data and secondary data. The…
he population is all MSMEs in Makassar City which are registered with the Makassar City Cooperatives and MSMEs Office with sample selection using certain considerations (purposive sampling). The analytical method used is multiple linear regression analysis with SPSS (Statistical Product and Service Solutions) tools.