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Ashri Putri Rahadi
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Applied Quantitative Analysis (AQA)
ISSN : 28084934     EISSN : 28084934     DOI : https://doi.org/10.31098/quant
Applied Quantitative Analysis (AQA) provides practician, academicians, and other relevant professionals throughout the world with the opportunity to exchanges and disseminates theoretical and practice-oriented papers for the advancement of quantitative methodology. The focus and scope of AQA are but not limited to quantitative tools, such as linear optimization, stochastic process, dynamic programming, econometrics, time series analysis, multivariate/frequentist statistics, bayesian statistics, machine learning algorithm, game theory, data science. The context of the research include but not limited to Accounting, Business and International Management, Industrial Relations, Management Information Systems, Management of Technology and Innovation, Marketing, Organizational Behavior and Human Resource Management, Strategy and Management, Tourism, Leisure and Hospitality Management, Industrial and Manufacturing Engineering, Control and Systems Engineering, Applied Mathematics, Computational Mathematics, Control and Optimization, Modeling and Simulation, Numerical Analysis, Decision Sciences, Management Science and Operations Research, Operations Management, Statistics, Probability and Uncertainty, Information Systems and Management, Economics, Econometrics and Finance, Multidisciplinary.
Articles 58 Documents
Exponential Mean Modeling of Coping Strategies and Dietary Diversity During the COVID-19 Pandemic in Mozambique Oyekale, Abayomi Samuel
Applied Quantitative Analysis Vol. 4 No. 2 (2024): July - December 2024
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2661

Abstract

The COVID-19 pandemic has brought significant socioeconomic problems to many developing countries. In Mozambique, the impacts of the pandemic were felt in different spheres of households’ livelihoods. This study contributes to the existing body of knowledge by analyzing the effects of coping strategies and other factors on households’ dietary diversity scores (HDDS). The data were collected in two non-longitudinal waves in 2021 and 2022 from 3975 households by the Food and Agriculture Organization (FAO). The instrumental Poisson regression model was used for data analysis. The results showed that across the two periods, cereals were mostly consumed (96.93%), while meats (15.75%), milk and dairy (13.99%), and eggs (9.16%) were the least consumed. There was an increment in the proportion of households that consumed between zero and four food groups. Furthermore, there were declines in the utilization of coping strategies, while depletion of savings (50.62%) and credit (45.21%) were mostly used. The instrumental variable Poisson regression results revealed that expected HDDS decreased significantly (p<0.05) with sold animals, eating elsewhere, consumption of seed stock, decreased agricultural input expenditures, and emergency begging, whereas illegal activities increased it. In addition, household incomes, crop farming, and being younger than 35 years significantly increased (p<0.05) the expected HDDS, while all regions except Gaza had significantly higher expected HDDS than Cabo Delgado. It was concluded that adopted coping mechanisms could not offset households’ food problems during the pandemic, although some regional differences existed. Therefore, initiatives to promote human nutrition in Mozambique should enhance households’ resilience to income shocks through region-specific income-promoting activities.
Shaping Patient Loyalty through Quality Care: Analyzing Patient Satisfaction in Public Hospitals in Ghana Osei, Francis; Owusu, Alfred; Kankam-Kwarteng, Collins; Agyemang, Gertrude; Owusu, Joyce Dankwah
Applied Quantitative Analysis Vol. 4 No. 2 (2024): July - December 2024
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2664

Abstract

Public hospitals in Ghana face challenges such as limited resources and inconsistent care delivery, which impact patient satisfaction and loyalty. In this context, enhancing service quality is crucial for retaining patients and improving healthcare outcomes. This study investigates the role of service quality in shaping patient loyalty and explores patient satisfaction as a mediator in selected public hospitals in Ghana using the SERVQUAL model. A survey was conducted among 200 outpatients from five public health facilities in Kumasi, Ghana, between January and February 25, 2024. A quantitative methodology was applied to evaluate how patients' perceptions of service quality influence their loyalty toward public healthcare providers. In order to analyze the data, SPSS and the smart partial least square (PLS) software version 3.0 were used for structural equation modeling (SEM). The findings revealed that communication, the physical environment, and responsiveness significantly affect patient loyalty, whereas factors such as privacy, safety, and a customer-friendly atmosphere do not. Additionally, this study confirmed that patient satisfaction mediates the relationship between service quality and patient loyalty, underscoring the importance of service quality in enhancing both satisfaction and loyalty in health care. Based on these insights, this study recommends that health care institutions improve their service quality to strengthen public healthcare systems. The significance of this paper extends beyond regression analysis, as it also addresses the delayed effects of service quality on patient loyalty, considering both direct and indirect influences in the regression models.
The Role of Psychological Capital and Job Securities Factors on Shaping Readiness to Change Guritna, Emmanuel Taru; Arbiansyah, Tri Panca Titis
Applied Quantitative Analysis Vol. 4 No. 2 (2024): July - December 2024
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2700

Abstract

This study investigates the challenges construction sector companies face due to market disruptions and the lack of innovation, with a specific focus on PT Wijaya Karya (WIKA), a leading Indonesian construction firm. Drawing on Kodak's failure as a cautionary example of the risks of neglecting technological advancements, the research underscores the critical need for companies to remain adaptable and ready to innovate to address evolving customer demands. In response to a significant financial loss of IDR 7.13 trillion in 2023, WIKA implemented cost-saving measures, including workforce restructuring and halting recruitment. Despite these setbacks, the company showcased resilience by initiating innovative projects, such as electric motorcycles and precast concrete technologies, contributing to its recovery. The research emphasizes WIKA's initiatives to cultivate employee readiness for change through programs like Wikasatrian and technology skills development. Utilizing a descriptive quantitative approach, the study surveyed 233 managers and directors from government-owned construction firms (BUMN), employing instruments to measure readiness for change, psychological capital, and job security. Data analysis using Structural Equation Modeling (SEM) confirmed that psychological capital plays a critical mediating role between job security and readiness to change. Findings reveal that job security significantly impacts readiness to change, with psychological capital acting as a strong mediator. The study highlights the importance of investing in psychological resources to foster adaptability, particularly in sectors undergoing technological and organizational transformations. The model demonstrated strong validity, with fit indices including GFI (0.90), CFI (0.98), TLI (0.97), NFI (0.97), and RMSEA (0.09), affirming its robustness and providing valuable insights into the public construction sector, an area often underexplored in previous research.
Event Study: This study Do politically affiliated groups affect stock returns during the presidential Election? Setiyawan, Pudi; Wati, Lela Nurlaela; Soma, Mukti; Kusnadi, Eko
Applied Quantitative Analysis Vol. 5 No. 1 (2025): Applied Quantitative Analysis
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2842

Abstract

This study analyzes the effect of the 2024 general election on the stock prices of companies affiliated with presidential and vice presidential candidate pairs in Indonesia. The methodology used in this study is an event study to measure abnormal returns before and after an election. The sample includes companies listed on the IDX, with as many as 34 companies listed based on connection politics. The research period comprises 40 estimation periods and 20 event periods. The statistical tools used for hypothesis testing were the t-test, paired sample t-test, and Wilcoxon signed-rank test. This study found that election-related information does not significantly impact average abnormal returns (AAR) before and after. However, the event study results show that political connections between companies with presidential and vice presidential candidates affect market reactions to new information during the event period. This study is essential for investors and capital market practitioners when formulating investment decision-making strategies during the general election period. These results are expected to serve as a reference for further studies on the influence of politics on the capital market in Indonesia.
Influence of Intrinsic Motivation and Parenting Style on Stability Personality of College Students at Defense University Arbiansyah, Tri Panca; Iswati, Sri
Applied Quantitative Analysis Vol. 5 No. 1 (2025): Applied Quantitative Analysis
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.3389

Abstract

This study examines the influence of intrinsic motivation and parenting style on personality stability among students at the Defense University. Personality stability is a crucial component in shaping resilient, consistent, and adaptive character, especially in a military educational environment that demands a high level of discipline. Intrinsic motivation is defined as the internal drive to engage in activities perceived as meaningful, enjoyable, and challenging. Meanwhile, parenting style, whether delivered by regimental caregivers or peer mentors (senior cadets), plays a vital role in shaping the attitudes and behaviors of students. Emotional stability reflects an individual's ability to process and express their emotions in a manner consistent with their developmental stage. This research employed a quantitative approach using a multiple linear regression design. The population consisted of 250 students, with 153 active students selected as the sample. Data were collected using a Likert-scale questionnaire that measured the variables of intrinsic motivation, parenting style, and personality stability. The findings revealed that intrinsic motivation and parenting style simultaneously significantly influence personality stability, with a standardized coefficient of 0.83 and a t-value of 18.59. Intrinsic motivation alone had a significant effect, with a coefficient of 0.71 and a t-value of 12.29, whereas parenting style had a significant effect, with a coefficient of 0.18 and a t-value of 3.23. These results reinforce the importance of autonomy, competence, and relatedness, and support the two-dimensional parenting theory. The study also highlights the significant roles of permissive and authoritarian parenting styles within the military university context. This research provides theoretical contributions to the development of personality and motivation in higher education, particularly in military academic environments. The findings serve as a basis for institutions to design learning strategies and character-building programs that promote intrinsic motivation and support the development of a stable personality. This study also provides a foundation for future psychosocial interventions and initiatives aimed at enhancing student character.
Exponential Mean Treatment Effect Model of the Impact of Maternal Education on Intensity and Timeliness of Antenatal Care Utilization in Nigeria Molelekoa, Thona; Oyekale, Abayomi Samuel
Applied Quantitative Analysis Vol. 5 No. 1 (2025): Applied Quantitative Analysis
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.2765

Abstract

Inadequate access to antenatal care (ANC) services is a public health problem that is promoting maternal and child mortality in many developing countries. In Niger, utilization of ANC services is a fundamental requirement for achieving some targets in the Sustainable Development Goals (SDGs). The study analyzed the impact of maternal education on the intensity and timeliness of ANC utilization. The data were from the 2021 Malaria Indicator Survey (MIS) and were analyzed with exponential mean treatment effects model. The results showed that 68.66% of the women attended ANC three or four times, while 48.58% did not visit health centres for up to four times. Only 27.09% attended ANC during the first trimester of their pregnancies. The exponential mean model showed that the expected mean of ANC visits significantly increased with women’s age, education levels, urban residence, listening to radio, wealth index and use of Fasidar medication. Moreover, the expected mean of pregnancy month before seeking ANC declined with women’s age, education levels, and wealth index. The average treatment effects (ATE) and average treatment effects on the treated (ATET) were positive for ANC utilization intensity and negative for utilization timeliness. It was recommended that efforts to promote ANC utilization in Niger should promote maternal education through media programmes, manage malaria and create awareness on the minimum required ANC visits for optimum management of maternal and child’s health.
Prompt Engineering, AI, and e-Catalog in Proposal Writing: A SEM Approach Budilaksono, Sularso; Effendi, Maya Syafriana; Dewi, Euis Puspita; Thantawi, Ahmad Muhammad; Sovitriana, Rilla; Kencana, Woro Harkandi; Sujantini, Siti; Sakti, Essy Malays Sari; Putriningrum, Susi Wagiyati; Nasution, Evi Syafrida
Applied Quantitative Analysis Vol. 5 No. 1 (2025): Applied Quantitative Analysis
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.3554

Abstract

External Drivers of E-Wallet Continuance and Loyalty Among Mid-to-Late Adulthood Consumers in Indonesia Adiani, Widyoretno
Applied Quantitative Analysis Vol. 1 No. 1 (2021): June 2021
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/quant.3991

Abstract

The rapid growth of digital payments in Southeast Asia, particularly Indonesia, has transformed financial behaviors, yet significant adoption and usage gaps remain among mid-to-late adulthood consumers. This study investigates the determinants of e-wallet continuance usage and loyalty within this mid-to-late adulthood segment in Indonesia, here referring to individuals aged 40 years and above, a demographic increasingly important to the nation’s digital economy. Drawing on Expectation Confirmation Theory and supported by insights from technology adoption and institutional perspectives, the research examines the influence of government support, social influence, and network externalities on continuance usage, and the role of continuance usage in shaping loyalty. Using a quantitative, cross-sectional design, data were collected from 223 e-wallet users within the targeted age segment and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings show that government support and social influence positively predict continuance usage, underscoring the importance of institutional legitimacy and interpersonal cues in reinforcing digital payment engagement among mid-to-late adulthood consumers. In contrast, network externalities do not significantly influence continuance usage, suggesting that market-wide adoption cues play a limited role for this demographic. The results also confirm that continuance usage strongly predicts loyalty, highlighting the importance of sustained user experience in fostering long-term commitment to e-wallet platforms. Collectively, these insights offer theoretical contributions to fintech continuance literature and practical implications for strengthening digital inclusion and user retention among older consumers.