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Ahmad Salman Farid
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Involvement International Journal of Business
Published by PT Agung Media Publisher
ISSN : -     EISSN : 3032485X     DOI : https://doi.org/10.62569/iijb.v1i2.13
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Authors are invited to contribute original research on a wide range of topics including financial management, marketing strategies, human resource management, entrepreneurship and innovation, international business, supply chain management, corporate governance, economics and business environment, strategic management, ecommerce and digital business, corporate social responsibility, financial technology, business management, green business practices, organizational leadership, risk management and compliance, corporate finance, small and medium sized enterprises, business ethics, and management of change.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis dan Menejemen Intetrnasional
Articles 48 Documents
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How Service Strategy and Quality Affect Customer Satisfaction at PT PELNI Sorong Edwar, Rizka Cintya
Involvement International Journal of Business Vol. 2 No. 3 (2025): July 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i3.150

Abstract

This study investigates the influence of service marketing strategy and service quality on customer satisfaction at PT PELNI in Sorong City, Indonesia. As a state-owned enterprise in maritime transportation, PT PELNI faces growing customer expectations that demand continuous improvements in service delivery and marketing approaches. Understanding the factors that shape customer satisfaction is essential for enhancing competitiveness and loyalty in this industry. A quantitative research method with a descriptive-causative design was employed. The study involved 141 customers of PT PELNI Sorong, selected through a purposive sampling technique. Data were collected using a structured questionnaire, and analyzed using multiple linear regression with the assistance of SPSS version 20. The independent variables in this study were service marketing strategy and service quality, while the dependent variable was customer satisfaction. The results revealed that both service marketing strategy and service quality have a positive and statistically significant effect on customer satisfaction. Specifically, service marketing strategy contributed to strengthening customer engagement and perceived value, while service quality such as timeliness, reliability, and responsiveness directly influenced customer trust and overall satisfaction levels. The findings suggest that improving both the strategic and operational aspects of service delivery is critical to achieving customer satisfaction in maritime transportation. Future research may consider adding mediating variables such as brand image or customer loyalty, as well as exploring comparative studies across different regions or transportation providers.
Corporate Pathways to Sustainability through Resource Management in Indian Enterprises Viswaprasad, Rayaprolu; Sunitha, K.; Sri, S. Dhanya; Parvataneni, Neeraja. S.
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.158

Abstract

India’s private sector plays a pivotal role in achieving national and global sustainability goals amid rapid economic growth and environmental challenges. This study employed a qualitative-comparative approach by analyzing sustainability practices of five leading conglomerates namely Tata Group, Aditya Birla Group, Reliance Industries, Adani Group, and ITC using company reports, secondary data, and sectoral benchmarks. Three thematic areas were examined: (1) water and energy management, (2) material management and circular economy, and (3) corporate sustainability goals. The findings show measurable progress in resource efficiency: Tata Steel reduced water consumption by 24.5% (2012–2023), Tata Motors cut energy use per vehicle by 16.2% (2012–2023), and UltraTech Cement substituted 21% of virgin raw materials with industrial waste (target 50% by 2030). Renewable adoption reached 27.8% in Tata Group’s energy mix, while Reliance developed a 20 GW renewable portfolio. Strategic goals vary, with Adani committing to net-zero by 2029, Tata Group by 2045, and Reliance by 2070, reflecting different levels of ambition and feasibility. Indian conglomerates demonstrate alignment with international climate agendas through renewable investment, carbon reduction, and circular economy models. However, uneven disclosure, fragmented regulatory frameworks, and technological uncertainties remain challenges. Corporate sustainability in India has shifted from peripheral CSR activities to central business strategies, with resource management and net-zero commitments shaping competitiveness and resilience. Limitations include reliance on secondary data; future research should expand to primary fieldwork and cross-country comparisons to deepen insights into corporate sustainability pathways.
Faculty Engagement as a Strategic Driver of Institutional Performance in Higher Education Kongle, Dhanraj; Syeda, Ulfath Begum; Saba, Shifa
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.160

Abstract

Faculty engagement is increasingly recognized as a determinant of academic excellence in higher education institutions. This study investigates the impact of faculty engagement on perceived academic quality at Avinash Group of Institutions, Hyderabad, India, with a focus on factors such as job satisfaction, personal and career growth, and institutional support. A descriptive design using a mixed-methods approach was adopted. Primary data were collected from 47 faculty members (10% of the population) through a structured questionnaire using convenience sampling. Quantitative analysis was conducted using descriptive statistics, correlation, regression, and two-way ANOVA in MS Excel, while qualitative analysis explored additional factors influencing academic excellence. The findings reveal that 81% of respondents agreed faculty engagement significantly impacts academic excellence. Regression analysis identified personal and career growth as the strongest predictor (β = 0.651), followed by job satisfaction (β = 0.401) and innovative teaching, collaboration, and institutional support (β = 0.397). ANOVA confirmed job satisfaction as highly significant (F = 28.23, p < 0.001), whereas years of experience (F = 0.976, p = 0.5038) and its interaction with job satisfaction (F = 0.7527, p = 0.8423) were not significant. Qualitative findings suggested leadership style, student discipline, infrastructure, and research opportunities as additional contributors to academic excellence. The results align with previous studies that emphasize the role of personal and professional growth, job satisfaction, and innovative teaching in enhancing academic performance. The study also underlines the importance of institutional support systems, work-life balance, and recognition mechanisms in sustaining engagement. However, limitations include reliance on self-reported data, a small and non-random sample, and the exclusion of student and management perspectives.
Modernizing Finance through Digital Innovation in LIC and PNB Housing Finance Jitta, Sesha Sai Sree
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.162

Abstract

Digital transformation has significantly reshaped the financial services sector in India, compelling traditional institutions like the Life Insurance Corporation of India (LIC) and PNB Housing Finance to adopt customer-centric innovations. This study examines how both organizations integrate digital tools and strategies to improve efficiency, customer engagement, and overall performance. The research employed a qualitative descriptive design, analyzing secondary data from reports, company releases, and scholarly studies between 2020 and 2025. Comparative evidence was reviewed to identify technological adoptions, customer outcomes, and operational impacts. Key indicators such as policy growth, loan disbursement rates, and customer service efficiency were highlighted. Findings reveal that LIC achieved notable progress with the ANANDA app, issuing 1.15 million policies by 2024 with 42.84% YoY growth, and enhanced customer service using AI-powered chatbots, reducing complaint resolution times by 30%. The NextGen Digital Platform and Project DIVE further advanced personalization and omnichannel engagement. PNB Housing Finance demonstrated a 27% annual increase in loan approvals through AI-driven underwriting, launched a fully digital loan application system, and redesigned its customer segmentation strategy, resulting in a 68.4% rise in affordable housing disbursements. The findings indicate that while LIC focuses on modernization and institutional resilience, PNB emphasizes rapid lending growth and inclusivity. Both align with broader digital adoption trends in India’s financial sector. However, challenges remain in risk governance, technological dependency, and inclusion of underserved populations.
Navigating Inflationary Stress Through Adaptive Investment Strategies Gudimella, Amulya; Dulgande, Anikesh; Choudhary , Anushtha; Konduri, Murari
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.163

Abstract

Inflation is a central determinant of stock market behavior, yet its effects vary across economies and periods. While moderate inflation may sustain growth, high inflation combined with systemic shocks can destabilize markets and erode investor confidence. This study adopted a comparative analysis of historical data from the United States and India between 2001 and 2023, focusing on inflation trends, stock market indices (S&P 500 and NIFTY), and policy responses. The analysis combined quantitative market data with qualitative assessments of policy interventions and sectoral performance. Findings reveal that moderate inflation of 2–4% supported consistent S&P 500 growth from 2010 to 2019, whereas extreme inflation, 12.7% in India (2013) and 9.1% in the US (2022) led to market volatility and portfolio reallocation. Severe contractions were observed during crises, including a -51.79% decline in India’s NIFTY (2009) and a -38.49% fall in the US S&P 500 (2008). Defensive sectors such as utilities and consumer staples provided stability, while technology and growth sectors were highly vulnerable. Policy responses strongly influenced market outcomes. Gradual interventions, such as US interest rate hikes in 2022–2023, moderated risks, while abrupt reforms like India’s GST in 2017 intensified instability. Diversification, macroeconomic monitoring, AI-driven predictive analytics, and ESG integration emerged as key strategies to mitigate inflationary stress. The results highlight that inflation’s impact is context-dependent and amplified by crises, but adaptive strategies can strengthen resilience. Limitations stem from reliance on historical data, suggesting future research should explore AI forecasting and ESG frameworks across broader global markets.
Comparative Performance of Large-Cap and Mid-Cap Mutual Funds Across Market Cycles in India Deepa, B.S.; Jameel, Mohd; Furquan, Mohammed; Toufeeq, Tousheeba
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.164

Abstract

Mutual funds play a vital role in balancing returns and risks for investors, particularly across different market phases. This study investigates the comparative performance of the Motilal Oswal Mid Cap Fund and the HDFC Large Cap Fund during bull, bear, and recovery markets from 2014 to 2024. A quantitative approach was employed using performance metrics such as returns, volatility, Sharpe ratio, Sortino ratio, alpha, and compound annual growth rate (CAGR). Benchmark indices (Nifty Midcap 150 and Nifty 100) were used for comparison. Findings revealed that during the bull phase (2014–2017), the mid-cap fund achieved returns of 0.570, though below its benchmark of 0.682, while the large-cap fund outperformed its benchmark (0.367 vs. 0.322). In the bear phase (2018–2020), both funds showed negative Sharpe ratios and alphas, with the large-cap fund exhibiting greater downside protection. In the recovery phase (2021–2024), the mid-cap fund delivered a CAGR of 36.59%, surpassing its benchmark (22.35%), while the large-cap fund maintained steady growth (17.79% vs. 11.61%). The results confirmed the trade-off between returns and volatility, consistent with modern portfolio theory. Mid-cap funds demonstrated higher growth potential during recoveries but carried higher risks, while large-cap funds offered stability and better risk-adjusted returns across cycles. These insights are consistent with previous research on investor risk preferences and market resilience. While the study provides valuable insights into fund performance across market phases, its scope is limited to two funds and a single domestic market. Future studies should include broader samples, cross-market analyses, and qualitative dimensions of fund management to strengthen understanding of fund resilience and growth dynamics.
Predictive Analysis of Investment Trends in Indian Small-Scale Industries: An ARIMA Model Approach Balan, Gopika; Nehru, Samiyaiyah
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.165

Abstract

Small-scale industries play a crucial role in India’s economic development by generating employment, increasing productivity, and contributing significantly to GDP. However, predicting investment trends in this sector remains challenging due to fluctuating economic conditions and policy shifts. This study analyzes the behavior and predictability of small-scale industrial investment in India using the ARIMA (Auto-Regressive Integrated Moving Average) model. It focuses on assessing the statistical properties of the investment variable namely normality, stationarity, and transformation as the basis for accurate forecasting. A quantitative time series approach was applied using secondary data. The Jarque–Bera test assessed normality, while the Augmented Dickey–Fuller (ADF) and Auto-Correlation Function (ACF) tests examined stationarity and structure. The Jarque–Bera statistic of 4.2314 (p = 0.1205) confirmed that the data is normally distributed. However, the ADF test (p = 0.9992) failed to reject the null hypothesis, indicating non-stationarity. Time series plots showed an exponential upward trend, reflecting steady growth in small-scale investments. To stabilize variance and linearize this trend, a natural logarithmic transformation was applied, producing more consistent and interpretable data for ARIMA forecasting. The findings reveal that while the data meets econometric assumptions, its non-stationarity highlights the dynamic, policy-sensitive nature of India’s small-scale industrial sector. The exponential growth aligns with industrial expansion and supportive government initiatives for MSMEs. The study concludes that despite normal distribution, the variable’s non-stationarity requires transformation for reliable analysis. Future research should employ multivariate and machine learning models to capture external influences and enhance prediction accuracy.
Do Minimum Wages Reduce Poverty? A Case Study of Palangkaraya City Harati, Rima
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.216

Abstract

This study examines the impact of the regional minimum wage on poverty levels in Palangkaraya City from 2010 to 2024. The goal is to determine whether an increase in the minimum wage reduces poverty in the region. A simple linear regression model was used to analyze the effect of the regional minimum wage (independent variable) on poverty (dependent variable). Secondary data on the regional minimum wage and poverty rates were sourced from the Palangkaraya City Central Statistics Agency (BPS). Classical assumption tests, including normality, multicollinearity, and heteroscedasticity tests, were conducted to validate the regression model. The regression analysis found a significant negative relationship between the regional minimum wage and poverty in Palangkaraya City (coefficient = -6.080E-7, t = -5.561, p < 0.05). The normality and multicollinearity tests met the required assumptions, while heteroscedasticity was detected in the model. The study confirms that an increase in the regional minimum wage can significantly reduce poverty in Palangkaraya City. However, the presence of heteroscedasticity suggests that further model refinement is needed. Future research should focus on improving model accuracy and expanding the scope to include other factors influencing poverty.

Page 5 of 5 | Total Record : 48

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