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Quantitative Economics and Management Studies
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27226247     DOI : https://doi.org/10.35877/qems
Core Subject : Economy, Science, Education,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics
Journal of Quantitative Economics and Management Studies (QEMS) is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of economics, management, business, finance, marketing, accounting. The journal publishes state-of-art papers in fundamental theory, experiments, and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion, and concise conclusion. As our commitment to the advancement of science and technology, the QEMS follows the open access policy that allows the published articles freely available online without any subscription.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekomomi dan Ekonometrika
Articles 595 Documents
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Risk Analysis of Electricity Demand at Public Electric Vehicle Charging Stations (SPKLU): CVaR Model Approach Teuku Sadri Ramadhan; Buddi Wibowo
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2580

Abstract

The electricity demand at Public Electric Vehicle Charging Stations (SPKLUs) exhibits significant volatility, which is driven by several aspects including electricity demand patterns at specific time intervals, load variability, SPKLU capacity, and other related factors. The variability of these swings can present hazards for SPKLU operators in relation to energy administration as well as operational and financial hazards. The objective of this study is to assess the risk associated with energy demand fluctuation at SPKLUs by employing the Conditional Value-at-Risk (CVaR) model technique. CVaR, or Conditional Value at Risk, is a quantitative measure of risk that calculates the predicted loss value in the most unfavorable situation. It is commonly employed to enhance the risk management approach of SPKLUs. The electricity demand at SPKLU exhibits significant volatility, with an average fluctuation of 10.15% and a standard deviation of 49.67%. The CVAR, calculated at -121.19% for a confidence interval of 1%, represents the maximum potential loss that could be experienced during worst-case electrical demand conditions, highlighting the substantial fluctuations in demand. The study initially implemented the CVaR model to analyze power demand at SPKLU, providing novel perspectives on risk reduction for critical infrastructure and proposing unique strategies for managing demand fluctuations in a reliable and efficient manner. The results also offer comprehensive insights into risk exposure and facilitate the formulation of well-informed and strategic risk management plans.
Risk Analysis of Operational Disruptions in Public Electric Vehicle Charging Stations Using the Failure Mode and Effects Analysis (FMEA) Method Teddy Maulana Putra; Ruslan Prijadi
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2585

Abstract

The Indonesia government is actively promoting the adoption of electric vehicles, as detailed in the 2021-2030 Electricity Supply Business Plan. The state-owned electricity provider, PLN, is responsible for establishing Public Electric Vehicle Charging Stations (PEVCS). However, several of these stations have encountered malfunctions; notably, 82 of the 567 stations are classified as Unavailable, indicating they are non-functional. Research literature points to a financial loss of $34,000 from operational issues at PEVCSs. This research aims to helps management understand and prioritize disruption that leads to failures or damages at these stations. Method used is the Failure Mode and Effects Analysis (FMEA) method along with logistic regression to examine the disruptions at PEVCSs labeled as Unavailable. The data for this research comes from a six-month historical record of PEVCS disruptions. The variables utilized for logistic regression analysis include foundational variables from the FMEA methodology—Severity, Occurrence, and Disturbance—complemented by two supplementary variables: the speed and age of the PEVCS. Result was found that three out of twelve types of disruptions have a high likelihood of failure, specifically issues with Device Communication, Connectivity, and Emergency Stop functions. A disruption is deemed likely to cause failure if its probability exceeds 50%.
Analysis of Stock Mutual Fund Performance Measurement and Comparison with LQ-45 Index Kartika Adiputra; I Made Pande Dwiana Putra
Quantitative Economics and Management Studies Vol. 5 No. 2 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2590

Abstract

Evaluation of performance is one of the important things that must be considered when choosing the type of mutual fund for investment purposes. Performance measurement is needed to help investors determine their mutual fund choices according to the return and risk of each instrument. Mutual fund performance measurement is not only measured by Net Asset Value (NAV) or returns, but also by comparison with market performance against certain benchmarks. The use of benchmarks in measuring mutual funds is intended to compare whether mutual fund performance can beat the market or lose to the market. This research compares the performance of 32 active stock mutual funds determined using a purposive sampling method with the performance of the LQ-45 index. The measurement method used is the Sharpe and Treynor method. The research hypothesis was tested using the Mann – Whitney Test with the SPSS version 16 program. The research results showed that the 32 stock mutual funds studied had better performance than the LQ-45 index performance measured using both the Sharpe method and the Treynor method. The stock mutual fund that has the highest Sharpe value is the Simas Stock Featured Mutual Fund with a Sharpe index of 0.2148, while the lowest is the Schroder Dana Achievement Plus Mutual Fund with an index value of -1.3655. The stock mutual fund that has the highest Treynor value is the Mandiri Investa Smart Bangsa Mutual Fund with a Treynor index of 0.0653, and the lowest is the Dana Ekuitas Prima Mutual Fund with a Treynor index of -0.6655.
Systematic Literature Review: The Role of Innovation and Competitive Advantage of Micro, Small, and Medium Enterprises as Mediation Variables Munawir Nasir; Mts Arief; Firdaus Alamsjah; Elidjen Elidjen
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2610

Abstract

Systematic Literature Review (SLR), which focuses on the role of innovation and competitive advantage as mediators of various factors on the performance of Micro, Small, and Medium Enterprises (MSMEs), is still relatively rare. Therefore, this study aimed to determine the factors that affect competitive advantage and the role of innovation mediation and competitive advantage in influencing MSMEs performance. This study utilized Google Scholar as a database. Of 500 studies, 400 were excluded according to the title and abstract, and 100 were screened for eligibility, resulting in 41 studies included for review. This study showed that there were 45 factors that affected competitive advantage and 15 factors that affected sustainable competitive advantage. This study also found that innovation variables, including marketing innovation, innovation, green innovation, and corporate open innovation, mediated various factors influencing competitive and sustainable competitive advantages. Also, competitive advantage was able to mediate the relationship between several factors that affected the performance of MSMEs. These findings provided a reference for future research to analyze innovation as a mediating variable for the relationship of various factors to competitive advantage. This finding also provides information that for MSMEs to survive in globalization, they should have a competitive advantage to be competitive. Thus, the factors in this study can be used to strengthen the competitive advantage of MSMEs and improve their performance.
Optimizing Organizational Performance Through a Conversation-Based Performance Management System Approach Tati Ariaini; Aryana Satrya
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2622

Abstract

This study examines the need for an effective performance management system within organizations. Prior research indicates that such systems significantly enhance business outcomes (Pulakos, Mueller-Hanson & Arad, 2019). O’Kane, McCracken & Brown (2022) introduced a conversation-based performance management model grounded in social exchange theory (SET), suggesting that discussions between supervisors and subordinates foster positive reciprocal relationships. This research aims to analyze the effectiveness of the performance management system implemented by a private trading company in Indonesia. The qualitative study involved semi-structured interviews with the Board of Directors, HRD, Line Managers, and Staff, as well as focus group discussions with Senior Managers. Findings reveal gaps in the system's implementation, notably the absence of feedback processes central to this model. Identified factors contributing to these gaps include goal alignment, feedback frequency, skills development, and formality, alongside environmental factors such as design, development function, buy-in, culture, and linkage with other systems. The study underscores the importance of feedback and explores the system's effectiveness from various perspectives, offering insights that contribute to the literature on performance management systems, particularly conversation-based approaches in private companies in Indonesia.
Strategic Implementation of Big Data Automation for Wastage Management Reporting Using Analytical Hierarchy Process in The Tobacco Industry Ilham Guspuji Maulana; Yos Sunitiyoso
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2623

Abstract

In today's data-driven era, big data automation is crucial, often referred to as "the new oil." Industries, particularly the fast-moving consumer goods (FMCG) sector like the tobacco industry, must undergo digital transformation to stay competitive. The integration of big data automation with reporting processes is significantly correlated, as it can automate repetitive reporting tasks, enhancing efficiency. This automation enables decision-makers to make faster and more accurate decisions. This research focuses on assessing the capacity and factors involved in the collaboration between the operations department and the digital team to automate repetitive reporting processes by integrating big data from various sources such as SAP and Microsoft Forms. The study employs a combination of qualitative and quantitative methods, along with the Analytic Hierarchy Process (AHP), to identify optimal business solutions. Insights from this research prioritize big data automation and reporting projects to meet business needs. Results indicate among four alternative project groups, the Central Data Wastage project is the top priority with a score of 51.7%, followed by SMD Wastage at 25.2%, PMD Wastage at 14.7%, and FMD Wastage at 8.4%. Five stakeholders participated in this research, including a product manager, business user, business analyst, and two developers. These participants contributed to assessing criteria, sub-criteria, and alternative project groups. This research not only helps prioritize projects but also facilitates seamless digitalization within the operations team, fostering synergy with the digital team.
The Influence of Role Ambiguity and Workload Moderated by Resilience on Employee Burnout Ahmad Fadli; Muhammad Imam Muttaqijm; Muljadi Muljadi
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2634

Abstract

The purpose of this research is to determine the effect of Role Ambiguity, Workload moderated by Resilience on employee Burnout at PT. United Waru Biscuits manufacturing. Cikande Branch. The research method used is associative with a quantitative approach. Data collection techniques, data questionnaires and literature study. The partial research results of the first test using a one sample t-test showed; The first test of the Ambiguity variable on Burnout obtained a t-count value of 11.983 > t-table 1.988, with a significance of 0.000 < 0.05, this shows that there is a positive and significant influence, the second test of the Workload variable on Burnout obtained a t-count value of 6.813 > t -table 1.988 with a significance of 0.000 < 0.05, this shows that there is a positive and significant influence, the third test of Role Ambiguity on Employee Burnout which is moderated by Resilience obtained a t-count value of 1.045 < t-table 1.988, with a significance of 0.299 > 0, 05 This shows that there is no positive and significant influence. The fourth test of Workload on Employee Burnout moderated by Resilience obtained a t-count value of 1.695 < t-table 1.988, with a significance of 0.094 > 0.05, this shows that there is no positive and significant influence.
FMEA-Based Logistic Regression Model for the Evaluation of Photovoltaic Power Plant Risk Dianita Fitriani Program; Ruslan Prijadi
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2645

Abstract

The purpose of this research is to identify the primary operational risks associated with photovoltaic power plants and develop effective risk management strategies to optimize the operation of existing plants and mitigate risks for future plants that will be constructed as part of the new renewable energy (EBT) transition agenda until 2030. The integration of Failure Mode and Effect Method Analysis (FMEA) with logistic regression provides the formation of a risk treatment ranking that management should prioritize. Risk assessment relies on the expertise and experience of professionals in performing their responsibilities associated with photovoltaic power plants. The research findings have identified 10 potential risks associated with improving photovoltaic power plants operations to prevent failure or damage to the system. These risks are categorized into five stages of the operation process: planning and procurement, installation, operation, and maintenance. Risk rankings and mitigation are generated to prioritize actions aimed at limiting the occurrence of failure/damage and low-capacity factors in photovoltaic power plants as recommendations for the management.
The Influence of Pre-Training Factors on Training Effectiveness Mediated by Motivation to Learn, Motivation to Transfer, and Self-Efficacy – Case Study on Non-Ministerial Government Institutions Kristianto Saputro; Muhammad Irfan Syaebani
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2646

Abstract

While acknowledging the importance of training, the challenge lies in understanding and optimizing its effectiveness, especially in the context of the government institution’s ever-changing landscape and the associated budgetary considerations. It examines whether pre-training factors—organizational support, training environment, trainer quality, and training need analysis— influence training effectiveness directly or are mediated by motivation to learn, motivation to transfer, and self-efficacy in non-ministerial government institutions in Indonesia. Data were collected from 202 respondents across 19 institutions using purposive sampling and analyzed with Covariance Based-Structural Equation Modeling (CB-SEM) using Lisrel 8.80. The findings reveal that trainer quality significantly affects motivation to learn, motivation to transfer, and self-efficacy but does not directly impact training effectiveness. Instead, its influence is mediated by motivation to transfer and self-efficacy. This underscores the crucial role of trainers in enhancing training effectiveness by boosting participants' motivation and self-efficacy. The study highlights the need for organizations to invest in high-quality trainers through ongoing professional development, robust evaluation systems, and incentives to improve training outcomes and achieve organizational goals more efficiently.
The Influence of Liquidity on Bond Credit Ratings: Evidence from The Indonesian Corporate Bond Market Firly Armanda; Buddi Wibowo
Quantitative Economics and Management Studies Vol. 5 No. 3 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems2659

Abstract

This study examines the effectiveness of various liquidity proxies in distinguishing between Investment Grade (IG) and High Yield (HY) bonds within the Indonesian corporate bond market. Utilizing logistic regression models across a dataset of 30,738 observations for IG bonds and 176 observations for HY bonds, we evaluated the impact of six liquidity proxies: Range Measure (RG), Hui Heubel ratio (HH), Market Share (MS), Interquartile Range (IR), Imputed Roundtrip Cost (IRC), and Trading Volume (TV). The findings reveal that the Imputed Roundtrip Cost (IRC) is the most reliable indicator of liquidity, demonstrating a significant negative relationship with the likelihood of a bond being classified as IG. This suggests that higher IRC values, which represent higher transaction costs, are associated with lower liquidity. In contrast, the other proxies, including the Hui Heubel ratio, did not show consistent or significant impacts in line with the hypotheses. The study concludes that IRC is the best measure for assessing liquidity in the Indonesian corporate bond market.

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