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All Journal Ekonomikalia Journal of Economics Infolitika Journal of Data Science Indatu Journal of Management and Accounting
Ray, Samrat
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Social Sciences Other

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Innovation and Economic Growth in the Top Five Southeast Asian Economies: A Decomposition Analysis Hardi, Irsan; Ray, Samrat; Attari, Muhammad Umer Quddoos; Ali, Najabat; Idroes, Ghalieb Mutig
Ekonomikalia Journal of Economics Vol. 2 No. 1 (2024): April 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v2i1.145

Abstract

Innovation has the potential to act as a double-edged sword in impacting economic growth. While it serves as a powerful driver of economic advancement, it also carries risks alongside its benefits. Recognizing this duality, our study aims to fill the identified gap and add comprehensiveness to the literature by assessing the individual impact of innovation indicators on economic growth in the top five Southeast Asian countries based on GDP: Indonesia, Thailand, Singapore, Malaysia, and Vietnam. The innovation aspect comprises 21 indicators from the Global Innovation Index (GII), grouped into seven categories: institution, human capital and research, infrastructure, market sophistication, business sophistication, knowledge and technology outputs, and creative outputs. Both panel analysis and country-specific assessments consistently conclude that innovation significantly influences economic growth. However, delving into the categorized indicators reveals intriguing insights. While all the indicators demonstrate a notable impact, most of them are found to hinder rather than foster economic growth. This compelling empirical evidence underscores that innovation in the selected countries has yet to be optimized, highlighting the urgent need to implement innovation-friendly policies, including removing innovation barriers, targeting investment in key sectors, and fostering education and skills development. This holistic approach aims to cultivate an environment conducive to innovation, thereby solidifying innovation's role as one of the primary drivers of economic growth.
A Model-Agnostic Interpretability Approach to Predicting Customer Churn in the Telecommunications Industry Noviandy, Teuku Rizky; Idroes, Ghalieb Mutig; Hardi, Irsan; Afjal, Mohd; Ray, Samrat
Infolitika Journal of Data Science Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijds.v2i1.199

Abstract

Customer churn is critical for businesses across various industries, especially in the telecommunications sector, where high churn rates can significantly impact revenue and growth. Understanding the factors leading to customer churn is essential for developing effective retention strategies. Despite the predictive power of machine learning models, there is a growing demand for model interpretability to ensure trust and transparency in decision-making processes. This study addresses this gap by applying advanced machine learning models, specifically Naïve Bayes, Random Forest, AdaBoost, XGBoost, and LightGBM, to predict customer churn in a telecommunications dataset. We enhanced model interpretability using SHapley Additive exPlanations (SHAP), which provides insights into feature contributions to predictions. Here, we show that LightGBM achieved the highest performance among the models, with an accuracy of 80.70%, precision of 84.35%, recall of 90.54%, and an F1-score of 87.34%. SHAP analysis revealed that features such as tenure, contract type, and monthly charges are significant predictors of customer churn. These results indicate that combining predictive analytics with interpretability methods can provide telecom companies with actionable insights to tailor retention strategies effectively. The study highlights the importance of understanding customer behavior through transparent and accurate models, paving the way for improved customer satisfaction and loyalty. Future research should focus on validating these findings with real-world data, exploring more sophisticated models, and incorporating temporal dynamics to enhance churn prediction models' predictive power and applicability.
Refining ESG Disclosure's Role in Corporate Economic, Environmental, and Social Sustainability Performance Ray, Samrat; Hardi, Irsan
Indatu Journal of Management and Accounting Vol. 2 No. 1 (2024): June 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v2i1.144

Abstract

This research examines the complexities of corporate sustainability, exploring the interconnections between environmental, social, and governance (ESG) disclosure, corporate governance frameworks, investor engagement in ESG practices, and sustainability performance improvements. Regression analysis were employed to analyze data collected from 121 participants across various professions in India. The findings indicate that ESG disclosures have an impact on the Sustainability Performance Transformation Index (SPTI), suggesting that disclosures alone may not necessarily lead to improved sustainability. Additionally, SPTI was found to be correlated with company management practices and investor engagement in ESG issues. The model demonstrates strong explanatory power (R2 = 0.979), underscoring the importance of adopting multidisciplinary methodologies for achieving lasting transformation. The conclusions drawn from this study offer insights that businesses, investors, and policymakers can leverage to strike a balance between long-term sustainability objectives and economic development.
ESG and Firm Value Linkage: A Case Study in the Automotive Industry Ray, Samrat; Kumar, Dhirendra; Roy, Sumitra; Verma, Anil
Indatu Journal of Management and Accounting Vol. 2 No. 1 (2024): June 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v2i1.154

Abstract

Environmental, social, and governance (ESG) performance and firm value are under scrutiny in this study, examining the impact of ESG factors on financial metrics. A survey was conducted, and the questionnaire was distributed to stakeholders within the automotive industry in India. Statistical analyses, including regression and correlation techniques, were employed to ascertain the connections between firm value and ESG performance. Strong correlations between ESG performance and financial indicators were observed. The findings underscore the significance of social responsibility practices in enhancing a company's trustworthiness, fostering trust among stakeholders, and maintaining long-term competitiveness. Furthermore, the study illustrates the integration of environmentally friendly business methods within the automotive industry. It emphasizes the importance of aligning ESG practices and social responsibility objectives with financial performance goals.
Consumer Confidence and Economic Indicators: A Macro Perspective Hardi, Irsan; Ray, Samrat; Duwal, Niroj; Idroes, Ghalieb Mutig; Mardayanti, Ulfa
Indatu Journal of Management and Accounting Vol. 2 No. 2 (2024): December 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ijma.v2i2.241

Abstract

This study examines the impact of the determinants of consumer confidence in Indonesia, one of the largest consumer markets in the world. Various macroeconomic factors are assessed, including economic growth, government expenditure, the consumer price index, interest rates, unemployment, and stock price index, using monthly data from January 2009 to December 2022. The study employs the Autoregressive Distributed Lag (ARDL) model as the primary method, with robustness checks using Fully Modified Ordinary Least Squares (FMOLS) and Canonical Cointegrating Regressions (CCR). The results indicate that all selected factors significantly influence consumer confidence, particularly from a long-term perspective. Economic growth and unemployment have a positive impact, while government expenditure, the consumer price index, interest rates, and stock prices exert a negative effect. These findings suggest that businesses should align their strategies with economic trends to capitalize on periods of strong consumer sentiment and mitigate risks during downturns. Simultaneously, policymakers should prioritize effectively managing key macroeconomic factors to sustain and enhance overall consumer confidence.
Co-Authors Afjal, Mohd Ali, Najabat Attari, Muhammad Umer Quddoos Duwal, Niroj Hardi, Irsan Idroes, Ghalieb Mutig Kumar, Dhirendra Mardayanti, Ulfa Roy, Sumitra Teuku Rizky Noviandy Verma, Anil