Rescollacomm (E-Journals)
Not a member yet
727 research outputs found
Sort by
The Influence of Work Efficiency, Strategic Leadersip, and Organizational Change Mediated by Digital Transformation on the Organizational Performance of Indonesian Army Hospitals
Get PDFThis quantitative study aims to analyze the mediating role of Digital Transformation on Organizational Performance in Level II Army Hospitals of the Indonesian National Armed Forces (TNI AD), with independent variables including Work Efficiency, Strategic Leadership, and Organizational Change.
Data collection was conducted using a cross-sectional approach, employing non-probability sampling with a purposive sampling technique. The unit of analysis comprised individuals at the Top and Middle Management levels of Level II Army Hospitals, with a total population of 318. Data were collected online via Google Forms, yielding 209 valid responses, which were subsequently analyzed using SEM-PLS version 3.
The study\u27s findings explain 10 hypotheses, consisting of 7 direct effect hypotheses, of which 4 were supported and 3 were not. Additionally, there were 3 indirect effect hypotheses, where 1 was supported and 2 were not. The most dominant indirect effect hypothesis revealed a positive full mediation effect of Digital Transformation between Organizational Change and Organizational Performance.
The theoretical implication indicates that incorporating Digital Transformation as a mediating variable strengthens the impact of Organizational Change while weakening the influence of Work Efficiency and Strategic Leadership on Organizational Performance. Meanwhile, the managerial implication suggests that Digital Transformation in Level II Army Hospitals of TNI AD has a significant impact on Organizational Performance.
This study also has limitations, as data were collected only from 14 out of 77 Level II Army Hospitals under the TNI AD healthcare system.
The originality of this research lies in the fact that studies examining the influence of Digital Transformation and Strategic Leadership on Organizational Performance in Army Hospitals remain scarc
TikTok as a Marketing Medium: The Influence of User Generated Content (UGC) and Viral Marketing on Online Purchase Decisions on Glad2Glow Skincare Products
Get PDFTikTok social media has evolved into a social commerce platform, serving as an effective digital marketing tool. This study aims to ascertain how user-generated content (UGC) and viral marketing influence online purchasing decisions, with a case study on Glad2Glow products. Using quantitative methods and SPSS (Statistical Product and Service Solutions) version 22, this study utilized Roscoe\u27s formula and used a purposive sampling approach with 210 respondents who met the criteria of TikTok users who had purchased Glad2Glow products. The findings of this study indicate that user generated content (UGC) and viral marketing influence the decision to buy Glad2Glow products online. With a determination value of R square of 0.764 or 76.4%, the research findings show that viral marketing is the most important component in spreading the message widely. User Generated Content (UGC), with a determination value R square User Generated Content (UGC) of 0.534 or 53.4%, states that User Generated Content (UGC) has an important role in building understanding before purchasing a product. These findings provide deeper insights into the effectiveness of digital marketing strategies through TikTok, as well as how the combination of User Generated Content and viral marketing can influence online purchasing decisions
The Influence of Brand Image and Lifestyle on Iphone Purchasing Decisions in Cirebon City
Get PDFThe development of lifestyle trends and increasingly strong brand images in Indonesia have a major influence on consumer purchasing decisions, especially in the technology product category such as the iPhone. This creates very tight competition in the gadget market. This study aims to analyze the influence of lifestyle and brand image on purchasing decisions for iPhone products, especially for consumers in Indonesia. Product purchasing decisions will be influenced by lifestyle factors and brand image owned by consumers. In this study, primary data were collected using a Likert scale questionnaire. The questionnaire was systematically designed to collect responses relevant to the research topic and consisted of a series of questions distributed to respondents aged 18 to 35 years, with a calculation of the coachran formula for 380 respondents. The data analysis method was carried out using Structural Equation Modeling - Partial Least Square (SEM-PLS). The results of the study showed that lifestyle and brand image had a significant influence on purchasing decisions for iPhone products. This means that these two independent variables together drive iPhone purchasing decisions, with lifestyle and brand image playing an important role in shaping consumers\u27 desire to buy the product. A modern lifestyle and a positive brand image are the main factors driving iPhone purchasing decisions. This shows that consumers choose products based on social identity and brand quality that can meet their lifestyle needs
Structural Barriers and Facilitators to Green Innovation in BRICS+ Countries
Get PDFGreen innovation has emerged as a strategic imperative for balancing economic growth with environmental sustainability, especially within BRICS+ nations such as Brazil, Russia, and India. These rapidly industrializing economies face escalating ecological pressures while navigating distinct structural, institutional, and policy landscapes that influence their capacity for eco-innovation. This study adopts a qualitative integrative literature review to examine the barriers and facilitators shaping green innovation across these countries. Drawing on 35 peer-reviewed articles and empirical studies published between 2007 and 2024, the research synthesizes interdisciplinary insights into the socio-economic and regulatory dynamics that drive or hinder sustainable technological progress.
Findings reveal that Brazil’s green innovation is constrained by underfunded institutions and limited academia-industry collaboration, yet bolstered by market incentives and sectoral initiatives. Russia contends with bureaucratic inefficiencies and weak regulatory enforcement but benefits from university partnerships and targeted state programs. In India, systemic issues like inadequate institutional support and lax enforcement impede progress, though recent policy reforms and growing corporate responsibility offer momentum. The study also found that green innovation is essential for sustainable growth in BRICS+ countries—Brazil, Russia, India, China, South Africa, Saudi Arabia, UAE, Egypt, Ethiopia, Iran, and Indonesia where recent research highlights distinct structural barriers and facilitators influencing its adoption and impact on environmental and economic outcomes. Thematic content analysis categorizes these influences and highlights recurring patterns and country-specific distinctions. Triangulation across sources enhances validity and ensures a comprehensive perspective
Legal Reconstruction of Electronic Land Rights Certificates Burdened with Mortgage Rights as a Form of Credit Guarantee Banking
Get PDFRegulation of the Minister of Agrarian Affairs and Spatial Planning / Head of the National Land Agency of the Republic of Indonesia Number 1 of 2021 concerning electronic certificates is a new regulation that changes the rules regarding land title certificates which were originally in book form to electronic form. Several of these regulations regulate changes in procedures and mechanisms but do not regulate in depth if the electronic land title certificate is pledged at the bank by someone else who is not the certificate owner and during the credit application process contains elements of fraud in it. The ambiguity of this regulation has caused several disparities in the judge\u27s decisions which have significant legal impacts on justice seekers. This study examines two things, the first discussing the legal regulation of electronic land title certificates burdened with mortgage rights as a form of credit guarantee at the bank and the second discussing the legal reconstruction of electronic land title certificates burdened with mortgage rights as a form of credit guarantee at the bank in future regulations. This research method uses normative legal research methods with a statutory approach, a conceptual approach and a case approach. This study uses primary, secondary and tertiary legal materials by conducting a literature study and analyzing using legal interpretation. The results of this study are first, the regulation on land title certificates does not clearly regulate certificates that are pledged at the bank so that they are burdened with mortgage rights where the customer who applies is not the owner of the certificate. Second, to solve the first problem, it must be regulated with certainty regarding electronic land title certificates if they are pledged by someone else at the bank or if there is an element of fraud in the credit application
The Influence of Price Discount, Hedonic Shopping Motivation and Shopping Lifestyle on Impulse Buying in the Marketplace
Get PDFThis study aims to analyze the effect of price discount, hedonic shopping motivation, and shopping lifestyle on impulse buying among students of Universitas Swadaya Gunung Jati Cirebon who shop through the Shopee marketplace. The quantitative method was used by distributing questionnaires to 250 respondents, analyzed using multiple linear regression through SPSS 25. The results showed that all three variables had a significant effect on impulse buying (R² = 0.62), with price discount as the dominant factor (β = 0.42), followed by hedonic motivation (β = 0.31), and shopping lifestyle (β = 0.25). These findings confirm that price incentives, shopping pleasure, and consumptive lifestyle play a crucial role in encouraging impulsive buying. The practical implication is that business actors are advised to optimize promotional strategies based on discounts and creative content, while academics need to explore additional variables such as FOMO or the influence of influencers. This study contributes to understanding the dynamics of digital consumer behavior in Indonesia, as well as being the basis for policy recommendations to reduce the negative impacts of impulsive shopping
Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction
Get PDFThe Indonesian stock market in the banking sector is a popular investment instrument with high return potential but faces market volatility and global economic uncertainty that requires adaptive and data-driven portfolio management strategies. Traditional asset allocation strategies such as equal weighting or based on historical performance have limitations in dynamic market conditions, while the application of machine learning, especially Ridge Regression, in stock return prediction and portfolio optimization in the Indonesian market has not been widely explored. This study aims to build an integrated pipeline for portfolio prediction and optimization using Ridge Regression on Indonesian banking stocks. Methods: Daily closing price data of five major banking stocks (BBRI, BBCA, BMRI, BBNI, BBTN) for the period 2015-2025 are used with technical indicators of moving average and rolling standard deviation as input features. The Ridge Regression model is trained using TimeSeriesSplit cross-validation to predict daily returns, then the prediction results are integrated into the Mean-Variance optimization framework to maximize the Sharpe ratio. The Ridge Regression model shows excellent predictive performance with an average R² of 0.9986, MAE of 0.000466, and RMSE of 0.000720. The Ridge-based portfolio strategy achieves identical performance to the historical optimal strategy with an annualized return of 10.64% and a Sharpe ratio of 0.4705, significantly outperforming the equal-weight strategy (return of 6.63%, Sharpe ratio of 0.2562). A practical implementation simulation with IDR 100 million funds shows feasible execution with less than 1% deviation from the optimal weights. Ridge Regression is proven to be effective in capturing the return pattern of Indonesian banking stocks and enables superior portfolio performance when integrated with modern portfolio theory, providing investors with a robust and data-driven approach to portfolio optimization in emerging markets
Determining the Pure Premium at Jasa Raharja Insurance Company Purwakarta Branch using Fast Fourir Transform (FFT) through Estimated Aggregate Loss Distribution
Get PDFInsurance is a contractual agreement between two parties, namely the insured party (customer) and the insurer (insurance company), in which the insured party pays a premium to the insurer, then in return, the insurer will provide compensation (claim) to the insured party if an insured event occurs. Each customer is required to pay a premium as an obligation stated in the insurance agreement by paying a premium, the customer fulfills his obligations and is entitled to the benefits stated in the policy. Therefore, the Insurance Company needs to carry out a scheme in the process of paying pure premiums for the sustainability of the insurance company. When determining the premium, it is done by estimating the aggregate loss distribution. This research will calculate thepure premium at the Purwakarta Branch of Jasa Raharja Insurance Company. The model used in this study is the distribution of aggregate loss with a compound distribution of claim frequency and claim size. Many claims follow the Poisson distribution and large claims follow the Lognormal distribution. In the process of estimating the probability of aggregate loss with the compound distribution model, the Inverse method with the Fast Fourier Transform (FFT) algorithm is used. This research will provide understanding and insight to insurance companies in determining the amount of premium that must be charged to customers
The Application of Compound Interest in Investment Portfolios
Get PDFEffective long-term investment requires a well-structured strategy supported by detailed analysis. The compound interest model serves as a pivotal tool in assessing potential returns on investments by illustrating how interest accumulates on both the initial capital and previously accrued interest. This study delves into the application of compound interest within investment portfolios, aiming to elucidate its impact on long-term growth trajectories. By investigating various factors, such as investment duration and compounding frequency, the research highlights the intricate mechanisms driving investment expansion. A robust understanding of these elements is crucial for making informed financial decisions. The insights gained from this research are intended to equip investors and financial advisors with practical strategies for optimizing portfolio performance and achieving superior investment results, ultimately contributing to the advancement of more sustainable long-term investment practices
Investment Portfolio Optimization Using Mean-Variance Model With Data Envelopment Analysis (DEA) Approach on IDX30 Stocks
Get PDFGlobalization and technological advancements are driving the importance of careful financial management, including in investments. Stocks have become a popular investment option as they offer potential profits from dividends and capital gains. However, the large selection of stocks in the Indonesian capital market, especially in the IDX30 index, makes investors face challenges in selecting efficient stocks and compiling optimal portfolios. Therefore, this research combines Data Envelopment Analysis (DEA) and Mean-Variance Model to screen efficient stocks and form an optimal investment portfolio. In this study, DEA is used to assess the efficiency of stocks based on company performance, while the Mean-Variance Model is used to determine the optimal weight in the portfolio by balancing risk and return. Of the 13 stocks analyzed, 9 efficient stocks were identified, namely ADRO, ASII, BBCA, BBNI, BBRI, INDF, KLBF, TLKM, and UNTR. The optimal portfolio is obtained with a risk tolerance value of 0.015, which results in an expected return of 0.00027711 and a variance of 0.00004396