Involvement International Journal of Business
type: channel
description: Involvement International Journal of Business registered with ISSN (online) : 3032-485X is peer-reviewed journal a quarterly publication that stands as a distinguished platform for the dissemination of leading-edge research in the expansive realm of business studies. Emphasizing a comprehensive scope covering finance, marketing, management, entrepreneurship, economics, and international business, the journal is committed to fostering scholarly excellence. With an unwavering dedication to originality, all submissions undergo a meticulous peer-review process, ensuring the highest academic standards. The journal's international focus encourages contributions from scholars and practitioners worldwide, promoting a global exchange of ideas and best practices. Beyond theoretical insights, the journal values research with practical implications, striving to bridge the gap between academia and the business community. Accessible language and a commitment to a quarterly publishing schedule underscore the journal's mission to serve as an invaluable resource for academics, researchers, and professionals engaged in the dynamic field of business and management. ISSN (online): 3032-484X DOI : 10.62569/iijb Frequency: 4 issues per year (January, April, July, October) Publisher: PT Agung Media Publisher - Number : AHU-002955.AH.01.30.Year 2024
publisher: PT Agung Media Publisher
language: en
publication name: Involvement International Journal of Business
issn: 3032-484X
copyright: You are free to: Share — copy and redistribute the material in any medium or format for any purpose, even commercially. Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation . No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
items: Do Minimum Wages Reduce Poverty? A Case Study of Palangkaraya City
items: Predictive Analysis of Investment Trends in Indian Small-Scale Industries: An ARIMA Model Approach
items: Modernizing Finance through Digital Innovation in LIC and PNB Housing Finance
items: Corporate Pathways to Sustainability through Resource Management in Indian Enterprises
items: Comparative Performance of Large-Cap and Mid-Cap Mutual Funds Across Market Cycles in India
items: Navigating Inflationary Stress Through Adaptive Investment Strategies
items: Faculty Engagement as a Strategic Driver of Institutional Performance in Higher Education
items: How Service Strategy and Quality Affect Customer Satisfaction at PT PELNI Sorong
items: Sustainable Plastic Waste Collection and Distribution Strategies in Operations Management
items: Advancing Automotive Business Strategy through Multimodal Aspect-Based Sentiment Analysis Using SSLU-GRU and YOLO
items: Strengthening Entrepreneurial Skills and Motivation among University Students
items: Analysis of the Wage Payment System from the Perspective of Imam Maliki Case Study of the Crackers Industry in Panyabungan
items: Zakat is not Just Charity Why Professional Fund Management Shapes the Future of the Ummah
items: Promoting Women Entrepreneurship through Bank Credit: A Study of the NRLM Scheme
items: Capital Adequacy, Credit Risk, and Efficiency in Islamic Bank Profitability
items: Introduction: The Role of AI in Transforming Management Research
items: Marketing Strategy Using SWOT Analysis in Increasing Sale Nasi Kuning Mak’im in Selangor Malaysia
items: Do Bank Mergers Improve Performance? Evidence from Indian Bank’s Operational and Financial Metrics
items: SWOT Analysis of Ijarah Contracts in the Service Industry: Strategies for Growth and Challenges
items: The Role of Good Corporate Governance in Stock Price Determination: Evidence from BRI
items: Business Opportunities and Agricultural Sustainability in the Future Era of AgriTech
items: Key Determinants of Fintech Peer-to-Peer Lending Usage Intentions: Insights from Bandung City
items: The Digital Transformation of Traditional Culinary Businesses Towards Online Success
items: The Effect of Organizational Culture on Employee Performance Mediated by Work Motivation at PT. Permodalan Nasional Madani Cianjur Branch
items: Analysis of The Influence of Population Number and Regional Minimum Wage on Unemployment in Central Kalimantan
items: Psychological Determinants of Investment Decisions: Analyzing Financial Behavior in Personal Investments
items: How Digital Addiction Fuels Youth Consumerism in India?
items: A Bibliometric Analysis of Sustainability in MSME
items: Transformation of Traditional Corporate Tax Planning into AI-Driven Corporate Tax Planning
items: The Practice Of Programme-Based Budgeting: A Case Study Of A Mosque In Surabaya

Do Minimum Wages Reduce Poverty? A Case Study of Palangkaraya City
type: item
description: 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.
subject: Articles
  topic: section
subject: Regional minimum wage
  topic: keywords
subject: poverty
  topic: keywords
subject: simple linear regression
  topic: keywords
subject: Palangkaraya City
  topic: keywords
subject: classical assumption tests
  topic: keywords
creator: Rima Harati
rights: Copyright (c) 2025 Rima Harati (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 306
ending page: 317
doi: 10.62569/iijb.v2i4.216

Predictive Analysis of Investment Trends in Indian Small-Scale Industries: An ARIMA Model Approach
type: item
description: 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.
subject: Articles
  topic: section
subject: Small-scale industries
  topic: keywords
subject: ARIMA model
  topic: keywords
subject: investment trends
  topic: keywords
subject: time series analysis
  topic: keywords
subject: India
  topic: keywords
subject: stationarity
  topic: keywords
subject: forecasting
  topic: keywords
creator: Gopika Balan
creator: Samiyaiyah Nehru
rights: Copyright (c) 2025 Gopika Balan, Samiyaiyah Nehru (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 287
ending page: 305
doi: 10.62569/iijb.v2i4.165

Modernizing Finance through Digital Innovation in LIC and PNB Housing Finance
type: item
description: 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.
subject: Articles
  topic: section
subject: Digital Transformation
  topic: keywords
subject: Customer-Centric Strategies
  topic: keywords
subject: Life Insurance Corporation of India (LIC)
  topic: keywords
subject: PNB Housing Finance
  topic: keywords
subject: Artificial Intelligence in Finance
  topic: keywords
creator: Sesha Sai Sree Jitta
rights: Copyright (c) 2025 Jitta Sesha Sai Sree (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 241
ending page: 254
doi: 10.62569/iijb.v2i4.162

Corporate Pathways to Sustainability through Resource Management in Indian Enterprises
type: item
description: 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.
subject: Articles
  topic: section
subject: Corporate Sustainability
  topic: keywords
subject: Resource Management
  topic: keywords
subject: Circular Economy
  topic: keywords
subject: Net-Zero Commitments
  topic: keywords
subject: Indian Conglomerates
  topic: keywords
creator: Rayaprolu Viswaprasad
creator: K. Sunitha
creator: S. Dhanya Sri
creator: Neeraja. S. Parvataneni
rights: Copyright (c) 2025 Rayaprolu Viswaprasad, K. Sunitha, S. Dhanya Sri, Neeraja. S. Parvataneni (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 218
ending page: 229
doi: 10.62569/iijb.v2i4.158

Comparative Performance of Large-Cap and Mid-Cap Mutual Funds Across Market Cycles in India
type: item
description: 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.
subject: Articles
  topic: section
subject: Mid-cap fund
  topic: keywords
subject: Large-cap fund
  topic: keywords
subject: Market phases
  topic: keywords
subject: Risk-adjusted returns
  topic: keywords
subject: Mutual fund performance
  topic: keywords
creator: B.S. Deepa
creator: Mohd Jameel
creator: Mohammed Furquan
creator: Tousheeba Toufeeq
rights: Copyright (c) 2025 B.S. Deepa, Mohd Jameel, Mohammed Furquan, Tousheeba Toufeeq (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 270
ending page: 286
doi: 10.62569/iijb.v2i4.164

Navigating Inflationary Stress Through Adaptive Investment Strategies
type: item
description: 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.
subject: Articles
  topic: section
subject: Inflation
  topic: keywords
subject: stock market
  topic: keywords
subject: investment strategy
  topic: keywords
subject: policy response
  topic: keywords
subject: financial
  topic: keywords
creator: Amulya Gudimella
creator: Anikesh Dulgande
creator: Anushtha Choudhary
creator: Murari Konduri
rights: Copyright (c) 2025 Amulya Gudimella, Anikesh Dulgande, Anushtha Choudhary, Konduri Murari (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 255
ending page: 269
doi: 10.62569/iijb.v2i4.163

Faculty Engagement as a Strategic Driver of Institutional Performance in Higher Education
type: item
description: 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.
subject: Articles
  topic: section
subject: Academic performance
  topic: keywords
subject: academic success
  topic: keywords
subject: employee participation
  topic: keywords
subject: faculty engagement
  topic: keywords
subject: faculty training
  topic: keywords
subject: higher education institutions
  topic: keywords
creator: Dhanraj Kongle
creator: Ulfath Begum Syeda
creator: Shifa Saba
rights: Copyright (c) 2025 Dhanraj Kongle, Ulfath Begum Syeda, Shifa Saba (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-17
publication date: 2025-10-17
starting page: 230
ending page: 240
doi: 10.62569/iijb.v2i4.160

How Service Strategy and Quality Affect Customer Satisfaction at PT PELNI Sorong
type: item
description: 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.
subject: Articles
  topic: section
subject: Service Marketing Strategy
  topic: keywords
subject: Service Quality
  topic: keywords
subject: Customer Satisfaction
  topic: keywords
subject: PT PELNI
  topic: keywords
subject: Maritime Transportation
  topic: keywords
creator: Rizka Cintya Edwar
rights: Copyright (c) 2025 Rizka Cintya Edwar (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 203
ending page: 217
doi: 10.62569/iijb.v2i3.150

Sustainable Plastic Waste Collection and Distribution Strategies in Operations Management
type: item
description: The global plastic waste crisis necessitates effective collection and distribution strategies aligned with principles of Operations Management and Sustainability. This study investigates efficient methods for managing plastic waste, focusing on mechanisms such as buy-back facilities, door-to-door collection systems, and reverse vending machines (RVMs). Among the various types of plastics, only PET, HDPE, PP, and LDPE are widely recyclable, with PET being the most preferred due to its high recyclability and potential for reuse in manufacturing. A mixed-methods approach was adopted, combining both qualitative and quantitative data collection techniques. The study involved a comparative analysis of different plastic collection strategies across various countries and regions, including deployments of RVMs in the UK, Sweden, Australia, Canada, the USA, and selected Indian cities such as Mumbai, Delhi, and Chennai. Findings reveal that RVMs offer a superior method for plastic collection due to their integrated sorting capabilities and user-friendly design. The global proliferation of over 100,000 RVM units illustrates their scalability and acceptance. Furthermore, the study highlights the environmental and economic benefits of optimized plastic waste collection, including natural resource conservation, energy savings, job creation, and reduced ecological impact. The integration of sustainable collection strategies, particularly through the deployment of RVMs, holds significant promise for enhancing waste management systems. The study emphasizes the importance of selecting appropriate technologies and infrastructures to support a circular economy. These insights contribute to operational improvements in waste logistics and support long-term sustainability goals.
subject: Articles
  topic: section
subject: Plastic Waste Management
  topic: keywords
subject: Reverse Vending Machines
  topic: keywords
subject: Sustainable Operations
  topic: keywords
subject: Recycling Strategies
  topic: keywords
subject: Mixed-Method Approach
  topic: keywords
creator: Dhriti Kappagantu
creator: Netra Mahindra
creator: Baseedu Sai Sandeep
creator: Krishna Mayi
rights: Copyright (c) 2025 Dhriti Kappagantu, Netra Mahindra, Baseedu Sai Sandeep, Krishna Mayi (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 192
ending page: 202
doi: 10.62569/iijb.v2i3.140

Advancing Automotive Business Strategy through Multimodal Aspect-Based Sentiment Analysis Using SSLU-GRU and YOLO
type: item
description: Sentiment analysis (SA) has become a key tool in understanding consumer feedback in the automotive industry. However, most existing models are limited to unimodal data and fail to capture fine-grained, aspect-level sentiments from multimodal sources such as text, images, and video. Additionally, privacy concerns related to user-generated content remain under-addressed. This study proposes a novel Multimodal Aspect-Based Sentiment Analysis (MASA) framework that integrates textual, visual, and video data for business decision-making in the automotive sector. The framework includes a BERT-based aspect dictionary for extracting domain-specific features, SCV-YOLOv5 for object segmentation in images and videos, and a GRU model enhanced with the Sinu-Sigmoidal Linear Unit (SSLU) activation function for sentiment classification. A K-Anonymity method augmented by Kendall's Tau and Spearman's Rank Correlation is employed to protect user privacy in sentiment data. The framework was evaluated using the MuSe Car dataset, encompassing over 60 car brands and 10,000 data samples per brand. The proposed model achieved 98.94% classification accuracy, outperforming baseline models such as BiLSTM and CNN in terms of Mean Absolute Error (0.14), RMSE (1.01), and F1-score (98.15%). Privacy-preservation tests also showed superior performance, with a 98% privacy-preserving rate and lower information loss than traditional methods. The results demonstrate that integrating multimodal input with deep learning and privacy-aware techniques significantly enhances the accuracy and reliability of sentiment analysis in automotive business contexts. The framework enables better alignment of consumer feedback with strategic decisions such as product development and targeted marketing.
subject: Articles
  topic: section
subject: Multimodal Sentiment Analysis
  topic: keywords
subject: SSLU-GRU
  topic: keywords
subject: YOLOv5
  topic: keywords
subject: K-Anonymity
  topic: keywords
subject: Automotive Business
  topic: keywords
subject: Aspect-Based Sentiment
  topic: keywords
creator: Prapullakumar Gowtham Pyate
creator: Balaji Srinivasan
rights: Copyright (c) 2025 Prapullakumar Gowtham Pyate, Balaji Srinivasan (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 176
ending page: 191
doi: 10.62569/iijb.v2i3.137

Strengthening Entrepreneurial Skills and Motivation among University Students
type: item
description: Entrepreneurship is increasingly promoted as a strategic response to graduate unemployment and economic inequality, particularly in developing countries. Higher education institutions are expected to foster entrepreneurial readiness among students by shaping their perceptions, stimulating interest, and building competence. This study employed a qualitative descriptive approach involving 20 purposively selected students from the Faculty of Economics and Psychology at Widya Dharma University who participated in the university’s entrepreneurship development program during 2023–2024. Data were collected through semi-structured interviews and supported by document analysis and field observations. Triangulation was applied to validate the findings. The results show that 75% of students agreed that entrepreneurship can improve welfare, while 70% viewed it as a viable alternative to formal employment. A total of 60% expressed interest in trying entrepreneurship due to adequate knowledge, and 55% were willing to start a business with institutional support. In terms of competence, 75% enjoyed creativity and innovation, and the same percentage were ready to face the risk of failure. However, only 50% believed they had the potential to be entrepreneurs. Although 60% felt unashamed to learn from others and saw student organizational involvement as beneficial, 60% also acknowledged the need for external support to achieve entrepreneurial success. These findings indicate that students’ entrepreneurial readiness is promising but still requires enhancement through practical experience and mentorship. The study proposes an integrated development model to cultivate entrepreneurial readiness by targeting three dimensions namely perception, interest, and competence.
subject: Articles
  topic: section
subject: Entrepreneurship
  topic: keywords
subject: Motivation
  topic: keywords
subject: Skills
  topic: keywords
subject: Higher Education
  topic: keywords
subject: University Students
  topic: keywords
creator: Anis Marjukah
creator: Dwi Wanito Ambarsari
creator: Arif Julianto Sri Nugroho
creator: Agung Nugroho Jati
creator: Oki Kuntrayanto
rights: Copyright (c) 2025 Anis Marjukah, Dwi Wanito Ambarsari, Arif Junianto Sri Nugroho, Agung Nugroho Jati, Oki Kuntaryanto (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 166
ending page: 175
doi: 10.62569/iijb.v2i3.132

Analysis of the Wage Payment System from the Perspective of Imam Maliki Case Study of the Crackers Industry in Panyabungan
type: item
description: This study analyzes the wage payment system in the cracker industry in Panyabungan from the perspective of Imam Maliki's thoughts. Wage payment practices in this industry often do not align with the principles of justice and agreements prescribed in Islam, necessitating an in-depth examination. This study employs a qualitative approach with a case study method. Data were collected through observations, in-depth interviews with workers and business owners, and literature studies on Imam Maliki's views regarding wage systems. The findings indicate that the wage payment system in the cracker industry in Panyabungan tends to be non-transparent and is often implemented on a daily basis without written contracts. From Imam Maliki’s perspective, this system has shortcomings as it does not fully ensure workers' rights. Discussions with business owners revealed that economic factors and production efficiency are the primary reasons for maintaining this practice. This study reveals that although the wage system in the cracker industry has been practiced for generations, it still does not fully comply with the principles of justice in Islam according to Imam Maliki. This research has limitations in terms of geographical coverage and the number of participants. Therefore, future research can expand the study area and compare wage payment systems with the perspectives of other Islamic schools of thought.
subject: Articles
  topic: section
subject: Wages
  topic: keywords
subject: Imam Maliki
  topic: keywords
subject: cracker industry
  topic: keywords
subject: payment system
  topic: keywords
subject: economic justice
  topic: keywords
subject: Islam
  topic: keywords
creator: Rita Defriza
rights: Copyright (c) 2025 Rita Defriza (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 145
ending page: 154
doi: 10.62569/iijb.v2i2.130

Zakat is not Just Charity Why Professional Fund Management Shapes the Future of the Ummah
type: item
description: Zakat, often perceived merely as a religious obligation or charitable act, holds untapped potential as a strategic instrument for socio-economic transformation in Muslim communities. This study argues that zakat must be viewed not just as an act of giving, but as a fund requiring professional management to realize its full impact on community development and the future of the Ummah. Using a qualitative research design, the study explores professional fund management practices in selected Zakat Management Units (UPZs) across Indonesia. Data were collected through in-depth interviews with UPZ leaders and financial managers, as well as document analysis of financial reports, program structures, and governance models. The findings indicate that UPZs which adopt professional financial governance—characterized by transparency, accountability, data-driven planning, and skilled human resources—are significantly more effective in achieving measurable outcomes such as improved mustahik welfare, sustainable livelihoods, and increased trust from muzakki. Professionalism transforms zakat from reactive charity into proactive socio-economic empowerment. This study underscores the urgency of redefining zakat management frameworks to embrace modern financial and organizational practices while remaining rooted in Sharia principles. As zakat institutions become more professional, they not only fulfill their spiritual mandate but also emerge as pivotal players in driving the long-term resilience and welfare of the Ummah. The future of Islamic social finance lies in bridging tradition with innovation through professional stewardship.
subject: Articles
  topic: section
subject: Zakat Management
  topic: keywords
subject: Professionalism
  topic: keywords
subject: Islamic Social Finance
  topic: keywords
subject: Economic Empowerment
  topic: keywords
subject: Community Welfare
  topic: keywords
subject: Sharia Governance
  topic: keywords
creator: Deni Konkon Furkony Furkony
creator: Ahmad Hasan Ridwan
creator: Mahmud Mahmud
creator: Ija Suntana
creator: Enceng Iip Syaripudin
creator: Ismail Bin Mohd
rights: Copyright (c) 2025 Deni Konkon Furkony, Ahmad Hasan Ridwan, Mahmud, Ija Suntana, Enceng Iip Syaripudin, Ismail Bin Mohd (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 131
ending page: 144
doi: 10.62569/iijb.v2i2.127

Promoting Women Entrepreneurship through Bank Credit: A Study of the NRLM Scheme
type: item
description: The National Rural Livelihoods Mission (NRLM) is a flagship initiative by the Government of India aimed at alleviating rural poverty by promoting women entrepreneurship through Self-Help Groups (SHGs). This study examines the role of bank credit particularly from private and co-operative banks in supporting SHGs in Raigarh District, Chhattisgarh, from 2017 to 2023. This research employed a quantitative descriptive approach using secondary data on credit disbursement and outstanding amounts sourced from bank reports. Trend analysis and percentage achievement calculations were used to assess the performance of private sector and co-operative banks in achieving NRLM credit targets. Literature-based qualitative insights supported the interpretation of institutional practices and challenges. Findings indicate a significant increase in SHG credit support over time, especially from private banks, whose credit disbursement surged post-2020. Co-operative banks demonstrated strong initial involvement, although their credit achievements fluctuated in later years. Overall, both types of banks contributed meaningfully to financial inclusion for rural women, with rising loan amounts and SHG participation. While the NRLM scheme has enhanced economic and social empowerment among women, persistent challenges remain, including limited financial literacy, collateral barriers, and restricted market access. Achievement gaps between targets and outcomes in several years suggest implementation and monitoring issues. The study recommends simplifying credit processes, expanding capacity-building initiatives, and improving access to markets to further strengthen the impact of NRLM.
subject: Articles
  topic: section
subject: Self-Help Groups (SHGs)
  topic: keywords
subject: Women Entrepreneurship
  topic: keywords
subject: NRLM
  topic: keywords
subject: Bank Credit
  topic: keywords
subject: Rural Empowerment
  topic: keywords
creator: Deepshikha Patel
creator: Anita Pandey
rights: Copyright (c) 2025 Deepshikha Patel, Anita Pandey (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-07-08
publication date: 2025-07-08
starting page: 155
ending page: 165
doi: 10.62569/iijb.v2i3.121

Capital Adequacy, Credit Risk, and Efficiency in Islamic Bank Profitability
type: item
description: Islamic commercial banks have gained prominence in Indonesia’s financial system, yet their profitability still lags behind conventional banks. Understanding the financial determinants that influence the profitability of these institutions is critical for improving their competitiveness and ensuring sustainable growth. This study investigates the effects of Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), Operating Costs to Operating Income (BOPO), and Financing to Deposit Ratio (FDR) on bank profitability, measured by Return on Assets (ROA). This research adopted a quantitative approach using secondary data from the annual financial statements of 12 Islamic commercial banks registered with the Financial Services Authority (OJK) of Indonesia, covering the years 2019 to 2023. Multiple linear regression analysis was applied after conducting descriptive statistics and classical assumption tests, including normality, multicollinearity, heteroscedasticity, and autocorrelation. The regression model was used to examine the relationship between the four independent variables (CAR, NPF, BOPO, FDR) and ROA. The findings show that CAR and FDR have a significant positive effect on ROA, indicating that strong capital adequacy and efficient liquidity management improve profitability. In contrast, NPF and BOPO negatively affect ROA, demonstrating that high credit risk and operational inefficiency diminish bank performance. The regression model explains 72.3% of the variance in ROA, confirming the robustness and relevance of the selected variables in determining profitability. The results are consistent with agency and liquidity preference theories and highlight the distinctive challenges faced by Islamic banks, such as compliance-related costs and limitations in accessing conventional financial instruments. Operational efficiency, credit quality, and liquidity management emerge as critical strategic areas.
subject: Articles
  topic: section
subject: Islamic Banking
  topic: keywords
subject: Return on Assets
  topic: keywords
subject: Capital Adequacy Ratio
  topic: keywords
subject: Non-Performing Financing
  topic: keywords
subject: Operational Efficiency
  topic: keywords
subject: Liquidity Management
  topic: keywords
creator: Fathi Hani
creator: Ika Puji Saputri
creator: Vely Randyantini
rights: Copyright (c) 2025 Fathihani, Ika Puji Saputri, Vely Randyantini (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 120
ending page: 130
doi: 10.62569/iijb.v2i2.116

Introduction: The Role of AI in Transforming Management Research
type: item
description: Artificial intelligence (AI) is revolutionizing management research by enabling more efficient data analysis, decision-making, and operational workflows. However, its application also raises questions about its transformative role and implications for academic writing in this field. A systematic review of literature published over the past decade was conducted to evaluate the applications, benefits, and challenges of AI in management research. Emphasis was placed on identifying key tools and technologies, along with their impacts on research quality and efficiency. Findings reveal that AI significantly enhances research by automating data handling, improving predictive accuracy, reducing biases, and streamlining academic writing processes. Despite these advancements, challenges such as ethical concerns and the need for human oversight persist. This study highlights the importance of balancing AI implementation with human judgment to ensure ethical practices and effective utilization. It addresses gaps in existing research and emphasizes AI's transformative potential in management studies. AI plays a pivotal role in enhancing the quality and efficiency of management research, but its integration requires careful consideration to maximize its benefits while mitigating potential drawbacks.
subject: Articles
  topic: section
subject: AI-Based Tools
  topic: keywords
subject: AI Applications in Managerial Analytics
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Management Research
  topic: keywords
subject: Research Efficiency
  topic: keywords
creator: Iis Azelya
creator: Sergei A. Filin
rights: Copyright (c) 2025 Iis Azelya, Sergei A. Filin (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-19
publication date: 2025-01-19
starting page: 38
ending page: 53
doi: 10.62569/iijb.v2i1.108

Marketing Strategy Using SWOT Analysis in Increasing Sale Nasi Kuning Mak’im in Selangor Malaysia
type: item
description: Nasi Kuning Mak’Im is a culinary business founded in Malaysia in 2016, specializing in Indonesian cuisine using high-quality ingredients at affordable prices. However, increasing competition from similar businesses poses a challenge to sustaining and growing the enterprise. Developing an effective marketing strategy is crucial to addressing these challenges and ensuring business growth. This study aims to evaluate the marketing strategies of Nasi Kuning Mak’Im using SWOT analysis to enhance sales performance. The research employs a descriptive qualitative approach conducted at the Nasi Kuning Mak’Im SME in Selangor, Malaysia. Data were collected through direct interviews with key stakeholders, field observations, and literature review. Key informants included the business owner and loyal customers, providing insights into both operational and customer perspectives. The findings from the SWOT analysis and the internal-external matrix indicate that the most appropriate strategy for Nasi Kuning Mak’Im is the Strengths-Opportunities (S-O) strategy. This approach leverages the business's strengths, such as product quality and affordability, to capitalize on market opportunities and build competitiveness while fostering customer loyalty. The application of the S-O strategy demonstrates that by aligning internal strengths with external opportunities, Nasi Kuning Mak’Im can enhance its market position and maintain sustainable operations amid a competitive landscape. Recommendations for further implementation of the strategy are provided to support long-term growth and customer retention.
subject: Articles
  topic: section
subject: Nasi Kuning Mak’Im
  topic: keywords
subject: SWOT Analysis
  topic: keywords
subject: Marketing Strategy
  topic: keywords
subject: Small and Medium Enterprises (SMEs)
  topic: keywords
subject: Customer Loyalty
  topic: keywords
subject: Competitiveness
  topic: keywords
creator: Abdul Rozaq Alfarisi
creator: Siti Musarofah
creator: Muhammad Sulton
rights: Copyright (c) 2025 Abdul Rozaq Alfarisi, Siti Musarofah, Muhammad Sulton (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-19
publication date: 2025-01-19
starting page: 65
ending page: 75
doi: 10.62569/iijb.v2i1.113

Do Bank Mergers Improve Performance? Evidence from Indian Bank’s Operational and Financial Metrics
type: item
description: Bank mergers are a common strategy to enhance operational and financial performance in the banking industry. This study aims to evaluate the impact of mergers on banks in India by measuring various financial and operational metrics before and after the merger. This research employs a quantitative approach using secondary data analysis from financial reports of merged banks. Data from the pre-merger and post-merger periods were collected to compare key performance indicators, such as Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), and operational efficiency ratio. A total of 10 merger cases over the last 10 years were analyzed using descriptive statistics and paired t-tests. The findings indicate that mergers positively impact several financial performance indicators. The average ROA increased from 0.85% to 1.25% within two years post-merger. ROE also rose by 2.5 percentage points. Additionally, operational efficiency improved, with the cost-to-income ratio decreasing from 48% to 43%. However, some banks experienced a decline in NIM from 3.2% to 2.9%, indicating challenges in maintaining profitability from interest-earning assets. These findings suggest that bank mergers in India generally provide benefits in terms of operational efficiency and profitability. However, the positive impact is not uniform, as some banks struggle to maintain net interest margins. Factors such as operational synergy, risk management, and regulatory policies play a role in post-merger outcomes. Bank mergers in India have a positive impact on financial and operational performance, despite certain challenges that need to be addressed. The findings of this study can serve as a reference for policymakers and bank management in designing more effective merger strategies in the future.
subject: Articles
  topic: section
subject: Bank mergers
  topic: keywords
subject: profitability
  topic: keywords
subject: operational efficiency
  topic: keywords
subject: financial stability
  topic: keywords
subject: return on assets
  topic: keywords
subject: return on equity
  topic: keywords
creator: K. Khasimpeera
creator: S. Raghunatha Reddy
rights: Copyright (c) 2025 K. Khasimpeera, S. Raghunatha Reddy (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 103
ending page: 119
doi: 10.62569/iijb.v2i2.114

SWOT Analysis of Ijarah Contracts in the Service Industry: Strategies for Growth and Challenges
type: item
description: The service industry is a critical driver of the global economy, contributing significantly to job creation and quality of life improvement. To remain competitive in an increasingly challenging market, service companies must adopt effective strategies to meet customer expectations. SWOT analysis is a strategic tool that helps businesses identify strengths, weaknesses, opportunities, and threats, making it a valuable approach in this context. This study focuses on applying SWOT analysis to business management in ijarah contracts, a leasing arrangement aligned with sharia principles. The research utilized a qualitative approach, engaging 20 business practitioners in the service industry located in West Java, Indonesia. Data collection methods included in-depth interviews and a comprehensive literature review on ijarah contracts and their application within the service sector. The findings highlight the strengths of ijarah contracts, particularly their compliance with sharia principles and substantial market potential. However, notable weaknesses include limited public understanding of ijarah contracts and the burden of high operational costs. Opportunities such as digitalization and the expanding sharia economy offer significant growth prospects, while threats from conventional financial systems and global economic instability present challenges that require strategic management. The study underscores the importance of addressing operational inefficiencies and enhancing market awareness of ijarah contracts. Furthermore, leveraging digital technology and capitalizing on the growth of the sharia economy can strengthen the position of ijarah-based businesses.
subject: Articles
  topic: section
subject: Service Industry
  topic: keywords
subject: Ijarah Contracts
  topic: keywords
subject: SWOT Analysis
  topic: keywords
subject: Sharia Economy
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Strategic Management
  topic: keywords
creator: Enceng Iip Syaripudin Enceng
creator: Gini Gaussian
creator: Ujang Burhanudin
creator: Armin Becic
rights: Copyright (c) 2025 Enceng Iip Syaripudin, Gini Gaussian, Ujang Burhanudin , Armin Becic (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-19
publication date: 2025-01-19
starting page: 54
ending page: 64
doi: 10.62569/iijb.v2i1.112

The Role of Good Corporate Governance in Stock Price Determination: Evidence from BRI
type: item
description: Corporate governance refers to the mechanisms and processes that direct and control a company to ensure its operations are efficient and aligned with its objectives. In the context of BRI Bank, the corporate lending program poses a significant risk to its financial stability, especially amidst the ongoing economic crisis. The deterioration in the quality of non-performing loans (NPLs) has implications for evaluating asset and debt risk quality. This study employs a quantitative research method to measure data and generalize the results from a sample to the broader population. The sample consists of BRI Bank companies for the period 2017–2023. A census technique is applied, and the data is analyzed using panel data analysis to assess the relationship between corporate governance and stock prices. The findings reveal that good corporate governance has a significant effect on stock prices when considered collectively. However, when the corporate governance variable is examined individually, it does not show a significant impact on stock prices. These results suggest that while good corporate governance contributes to stock price performance in a combined context, its isolated effect is not as pronounced. The findings highlight the importance of comprehensive governance practices in influencing financial outcomes, particularly in the face of economic challenges.
subject: Articles
  topic: section
subject: Good Corporate Governance
  topic: keywords
subject: Financial Management
  topic: keywords
subject: Shares
  topic: keywords
subject: BRI
  topic: keywords
creator: Nurul Sitio
creator: Jovia Tatum
rights: Copyright (c) 2025 Nurul Mardhiah, Jovia Tatum (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-20
publication date: 2025-01-20
starting page: 1
ending page: 10
doi: 10.62569/iijb.v2i1.104

Business Opportunities and Agricultural Sustainability in the Future Era of AgriTech
type: item
description: Agriculture faces increasing challenges due to climate change, requiring innovative solutions to ensure sustainability and productivity. AgriTech, encompassing precision farming, AI-driven crop management, and blockchain-based supply chains, offers promising advancements in mitigating climate change effects. However, its adoption remains limited due to economic and infrastructural barriers. This study employs a comparative analysis of AgriTech-based and traditional agricultural methods, utilizing statistical data to assess their effectiveness in addressing climate change challenges. A one-sample t-test was conducted to evaluate the significance of AgriTech interventions, highlighting differences in mean values and confidence intervals. The findings indicate that while AgriTech significantly contributes to climate change adaptation (t = 8.85, df = 49, p < .001), its impact is lower compared to traditional methods due to barriers such as high initial costs and limited access to technology. Despite this, precision agriculture, climate-smart techniques, and blockchain integration demonstrate potential for improving sustainability and efficiency. The study highlights the importance of policy support, financial incentives, and technological literacy in promoting AgriTech adoption. Business opportunities in AgriTech continue to grow, but overcoming adoption challenges requires collaborative efforts from stakeholders, including governments, investors, and farmers. AgriTech has the potential to revolutionize sustainable agriculture by balancing productivity and environmental responsibility. However, further research is needed to explore localized implementation strategies, AI integration, and economic feasibility for smallholder farmers to ensure widespread adoption.
subject: Articles
  topic: section
subject: AgriTech
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: AgriTech Adoption
  topic: keywords
subject: Agricultural Innovation
  topic: keywords
creator: Vinisha Panyala
creator: Uma Bakshi
rights: Copyright (c) 2025 Vinisha Panyala, Uma Bakshi (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 89
ending page: 102
doi: 10.62569/iijb.v2i2.110

Key Determinants of Fintech Peer-to-Peer Lending Usage Intentions: Insights from Bandung City
type: item
description: This study aims to identify and analyze the key factors influencing the intention to use fintech peer-to-peer (P2P) lending services in Bandung City, addressing a significant area of financial technology adoption in emerging markets. This research uses a quantitative accidental sampling method, namely a non-probability sampling technique to survey 428 residents of Bandung City who use P2P lending services. Data were collected through questionnaires and analyzed using multiple linear regression to evaluate the impact of various independent variables on usage intention. The analysis revealed that Personalization, Accessibility, and Enhanced Effectiveness have a positive and statistically significant influence on the intention to use P2P lending. Conversely, Loan Approval Speed demonstrated a negative and statistically significant effect. Social Factors, however, were found to have no significant impact on usage intention. These findings contribute to the literature on fintech adoption, highlighting the importance of service personalization and accessibility while identifying areas for improvement, such as streamlining loan approval processes. The insights provided can inform strategies for both service providers and policymakers in fostering responsible P2P lending adoption in Bandung City. This research underscores critical determinants of P2P lending usage intentions and provides actionable insights for enhancing the effectiveness and appeal of financial technology services in Bandung City.
subject: Articles
  topic: section
subject: Fintech Adoption
  topic: keywords
subject: Peer-to-Peer Lending
  topic: keywords
subject: Usage Intention
  topic: keywords
subject: Financial Technology
  topic: keywords
subject: Bandung City
  topic: keywords
subject: Determinants of P2P Lending
  topic: keywords
creator: Okta Eka Putra
creator: Agung Pramayuda
creator: Tanti Rohaeni
creator: Vera Yessica Tarigan
creator: Ariezan Zainal Ariffin
rights: Copyright (c) 2025 Okta Eka Putra, Agung Pramayuda, Tanti Rohaeni, Vera Yessica Tarigan, Ariezan Zainal Ariffin (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-19
publication date: 2025-01-19
starting page: 26
ending page: 37
doi: 10.62569/iijb.v2i1.107

The Digital Transformation of Traditional Culinary Businesses Towards Online Success
type: item
description: The digital transformation of traditional culinary businesses has become a critical pathway for achieving sustainable growth and competitiveness in the digital age. This study explores how these businesses transition to online platforms, the challenges they face, and the benefits they achieve. A mixed-methods approach was employed, combining qualitative interviews with traditional culinary business owners and quantitative analysis of business performance data before and after digital adoption. The study also examined case studies of businesses successfully utilizing digital tools such as food delivery platforms, social media marketing, and AI-based analytics. Findings reveal that businesses adopting digital tools experience significant growth in revenue (up to 40%) from 2019-2024, improved operational efficiency, and enhanced customer engagement. However, challenges such as a lack of digital literacy and initial investment costs remain substantial barriers. Successful case studies demonstrate that leveraging partnerships with delivery platforms and effective social media marketing are key strategies for success. Digital transformation provides opportunities to widen market reach, preserve culinary heritage, and enhance customer experiences. To overcome barriers, governments and private organizations can play a role by offering training programs and financial support. The integration of advanced technologies like AI and data analytics also shows promise in driving efficiency and personalization. The digital transformation of traditional culinary businesses is not merely a trend but a necessity for long-term success. Despite challenges, the benefits of increased visibility, operational improvements, and customer satisfaction outweigh the costs, making digital adoption a viable strategy for traditional culinary enterprises.
subject: Articles
  topic: section
subject: Digital Transformation
  topic: keywords
subject: Traditional Culinary Businesses
  topic: keywords
subject: Food Delivery Platforms
  topic: keywords
subject: Social Media Marketing
  topic: keywords
subject: Artificial Intelligence (AI)
  topic: keywords
subject: Operational Efficiency
  topic: keywords
creator: Andy Hakim
rights: Copyright (c) 2025 Andy Hakim (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-01-19
publication date: 2025-01-19
starting page: 11
ending page: 25
doi: 10.62569/iijb.v2i1.105

The Effect of Organizational Culture on Employee Performance Mediated by Work Motivation at PT. Permodalan Nasional Madani Cianjur Branch
type: item
description: This study aims to examine the effect of organizational culture on employee performance through employee work motivation at PT Permodalan Nasional Madani Cianjur Branch. This research uses a quantitative approach with Structural Equation Modeling (SEM) using the SmartPLS program. The population used is all employees of PT Permodalan Nasional Madani Cianjur Branch. The sample consisted of 102 respondents. The data collection technique was carried out using a questionnaire distributed online. The results showed that work motivation can significantly mediate the effect of organizational culture on employee performance at PT Permodalan Nasional Madani Cianjur Branch. The result of Direct Effect Analysis is BO -> MK : Original Sample (Path) = 0,693; t-Statistics = 10,788; P-Values = 0,000; Decision = Positive. BO -> KK : Original Sample (Path) = 0,068; t-Statistics = 1,949 P-Values = 0,052; Decision = Positive. MK -> KK : Original Sample (Path) = 0,760; t-Statistics = 13,294; P-Values = 0,000; Decision = Positive.
subject: Articles
  topic: section
subject: Employee performance
  topic: keywords
subject: Organizational Culture
  topic: keywords
subject: Work Motivation
  topic: keywords
creator: Tarjono
creator: Masoud Ghorbanhosseini
rights: Copyright (c) 2024 Tarjono, Masoud Ghorbanhosseini (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-25
publication date: 2024-10-25
starting page: 293
ending page: 301
doi: 10.62569/iijb.v1i4.71

Analysis of The Influence of Population Number and Regional Minimum Wage on Unemployment in Central Kalimantan
type: item
description: This study aims to examine the impact of population and regional minimum wages on unemployment in Central Kalimantan. Understanding the factors influencing unemployment is crucial for policymakers, particularly in regions with unique economic and demographic challenges like Central Kalimantan. The research uses data from the period 2011-2023, applying Multiple Linear Regression Analysis to investigate the relationship between population (X1), regional minimum wages (X2), and unemployment (Y). Classical assumption tests, including normality, multicollinearity, autocorrelation, and heteroscedasticity, were conducted to ensure the validity of the regression model. The findings indicate that neither population nor regional minimum wages significantly affect unemployment in Central Kalimantan. These results suggest that other factors may play a more significant role in determining unemployment in the region, providing a basis for future research to explore additional variables and more complex interactions affecting regional unemployment rates.
subject: Articles
  topic: section
subject: Population
  topic: keywords
subject: Regional Minimum Wage
  topic: keywords
subject: Unemployment
  topic: keywords
creator: Rima Harati
creator: Heike Delfmann
rights: Copyright (c) 2024 Rima Harati, Heike Delfmann (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-25
publication date: 2024-10-25
starting page: 302
ending page: 314
doi: 10.62569/iijb.v1i4.74

Psychological Determinants of Investment Decisions: Analyzing Financial Behavior in Personal Investments
type: item
description: Understanding the psychological factors that influence investor behavior is critical in the dynamic world of financial markets. Financial conduct encompasses the decisions and behaviors individuals exhibit in managing their finances, including investments in various asset classes. Factors such as risk tolerance, cognitive biases, emotional influences, and financial knowledge significantly shape investment outcomes. Gaining long-term financial success requires mastery over these behavioral aspects. This study investigates the influence of three psychological factors—information asymmetry, problem framing, and risk propensity—on the investment decisions of 220 active investors trading on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). A quantitative research approach was employed, utilizing a structured questionnaire to collect data. Statistical analyses, including regression and correlation analysis, were used to assess the relationships between these psychological variables and investment behaviors. The results reveal significant correlations between psychological factors and investment decisions. Information asymmetry, problem framing, and risk propensity were found to strongly influence individual investor choices. These findings shed light on the intricate role that cognitive biases and psychological processes play in shaping financial decision-making. The study's findings offer valuable insights into the psychological drivers behind investment behavior. By highlighting the impact of these factors, the research contributes to both academic understanding and practical applications for financial professionals. The results underscore the importance of enhancing financial literacy and investor education, enabling more informed decision-making and promoting improved financial outcomes.
subject: Articles
  topic: section
subject: Financial Behavior
  topic: keywords
subject: Personal Investment
  topic: keywords
subject: Psychological Factors
  topic: keywords
subject: Investment Decision
  topic: keywords
subject: Risk Tolerance
  topic: keywords
subject: Information Asymmetry
  topic: keywords
creator: Chandra Bhooshan Singh
creator: Nistha Sharma
creator: Mariyam Ahmed
rights: Copyright (c) 2024 Chandra Bhooshan Singh, Nishtha Sharma, Aariyam Ahmed (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-25
publication date: 2024-10-25
starting page: 258
ending page: 268
doi: 10.62569/iijb.v1i4.46

How Digital Addiction Fuels Youth Consumerism in India?
type: item
description: The rise of digital technology has significantly transformed consumer behavior, particularly among young individuals in India. Increased screen time, social media influence, and digital payment methods have contributed to impulsive spending habits. This study examines the impact of digital addiction on youth consumerism, emphasizing psychological, behavioral, and socio-economic factors. This study adopts a qualitative research design with a phenomenological approach with young consumers aged 18–30 in urban India. The data collection focused on digital consumption patterns, purchasing behavior, and financial awareness. Statistical analysis was employed to assess correlations between digital addiction levels and spending habits. Findings indicate that digital addiction significantly influences youth consumerism through instant gratification, Fear of Missing Out (FOMO), and algorithm-driven advertising. Social media platforms and influencer marketing intensify impulsive buying behaviors. The increasing adoption of Buy Now, Pay Later (BNPL) schemes fosters financial instability, pushing many young consumers into debt cycles. Additionally, excessive digital engagement has socio-economic implications, affecting traditional retail businesses and financial well-being. The study highlights the need for regulatory measures, including financial literacy programs and ethical digital marketing practices, to mitigate the negative impacts of digital-driven consumerism. A multi-stakeholder approach involving policymakers, educators, and businesses is essential for promoting responsible digital consumption among Indian youth.
subject: Articles
  topic: section
subject: Digital addiction
  topic: keywords
subject: youth consumerism
  topic: keywords
subject: impulsive buying
  topic: keywords
subject: social media influence
  topic: keywords
subject: BNPL services
  topic: keywords
subject: financial literacy
  topic: keywords
creator: Chandra Bhooshan Singh
creator: Dr. Nistha Sharma
creator: Dr. Shinki K Pandey
rights: Copyright (c) 2025 Chandra Bhooshan Singh, Nishtha Sharma, Shinki K Pandey (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-15
publication date: 2025-04-15
starting page: 76
ending page: 88
doi: 10.62569/iijb.v2i2.72

A Bibliometric Analysis of Sustainability in MSME
type: item
description: This research paper examines the role of Micro, Small, and Medium Enterprises (MSMEs) in the Indian economy and their sustainability. It analyses 85 Scopus documents from 66 sources between 2014 and 2024, revealing a peak in scientific production in 2023. The study emphasizes the importance of sustainable practices for long-term success. This comprehensive research paper rigorously examines the pivotal role of Micro, Small, and Medium Enterprises (MSMEs) in the Indian economy and emphasizes the critical importance of sustainable practices for long-term success. Through meticulous analysis of 85 Scopus documents from 66 sources between 2014 and 2024, the study conclusively reveals a peak in scientific production in 2023 and robust ties between India and various other countries in this domain.
subject: Articles
  topic: section
subject: MSME
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Bibliometric
  topic: keywords
subject: India
  topic: keywords
creator: Deepshikha Patel
creator: Chandra Bhooshan Singh
rights: Copyright (c) 2024 Deepshikha Patel, Chandra Bhooshan Singh (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-25
publication date: 2024-10-25
starting page: 281
ending page: 292
doi: 10.62569/iijb.v1i4.70

Transformation of Traditional Corporate Tax Planning into AI-Driven Corporate Tax Planning
type: item
description: Corporate tax planning has traditionally relied on manual processes and expert judgment to minimize tax liabilities. However, the rise of artificial intelligence (AI) presents new opportunities to transform these practices through automation, real-time analysis, and predictive capabilities. To conduct this research, a comprehensive review of academic literature, case studies, and existing AI tools in tax planning was carried out. The proposed AI-based tax planning model was developed based on these findings and validated through simulations and expert feedback. The study also examined the process of integrating AI systems with existing corporate tax structures to assess the feasibility and effectiveness of implementation. Results show that AI-driven corporate tax planning significantly enhances accuracy and efficiency compared to traditional methods. The AI model provides real-time analysis and predictive insights, enabling businesses to optimize tax strategies while ensuring compliance with evolving regulations. Tax authorities also benefit from AI implementation, gaining more transparent and equitable tax structures, along with stronger supervision capabilities. The proposed model can be developed into customized software tailored to individual companies, seamlessly integrating with existing corporate systems. These findings indicate that AI has the potential to revolutionize corporate tax planning by streamlining tax management and optimizing outcomes. For businesses, AI enables personalized tax strategies that adapt to specific data and regulations, improving both compliance and long-term tax optimization.
subject: Articles
  topic: section
subject: Corporate Tax Planning
  topic: keywords
subject: Artificial Intelligence (AI)
  topic: keywords
subject: AI Driven Corporate Tax Planning
  topic: keywords
subject: AI Driven Corporate Tax Planning Model
  topic: keywords
subject: Automation
  topic: keywords
subject: Predictive Analytics
  topic: keywords
creator: Tushar Ranjan Barik
creator: Priyanka Ranawat
rights: Copyright (c) 2024 Tushar Ranjan Barik, Priyanka Ranawat (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-25
publication date: 2024-10-25
starting page: 269
ending page: 280
doi: 10.62569/iijb.v1i4.68

The Practice Of Programme-Based Budgeting: A Case Study Of A Mosque In Surabaya
type: item
description: This research article delves into the budget planning process at the Ar-Rahmah Mosque in Surabaya, employing a qualitative case study approach. Data was gathered through interviews with key mosque administrators, including the director, treasurer, and department heads. The findings reveal that the Ar-Rahmah Mosque adopts a bottom-up, program-based budgeting method. This process encompasses the preparation and ratification stages of the budget, with careful consideration of revenue and expense forecasting, as well as budget approval. The study highlights that this approach facilitates a more inclusive and participatory budgeting process, ensuring that the financial plan aligns closely with the mosque's various programs and activities. The implications of this research are particularly significant for other mosques and nonprofit organizations looking to enhance their budget planning strategies. By adopting a program-based budgeting approach, these organizations can potentially achieve greater financial efficiency and transparency. This case study of the Ar-Rahmah Mosque provides a valuable model for effective budget planning that can be emulated by similar institutions aiming to improve their financial management practices.
subject: Articles
  topic: section
subject: Budget planning
  topic: keywords
subject: Budgeting process
  topic: keywords
subject: Mosque
  topic: keywords
subject: Nonprofit
  topic: keywords
creator: Hari Santoso Wibowo
creator: Muh Syahril Sidik Ibrahim
creator: Ibnu Nafi Ahmad
creator: Muhammad Fuzail
rights: Copyright (c) 2024 Hari Santoso Wibowo, Muh Syahril Sidik Ibrahim, Ibnu Nafi Ahmad, Muhammad Fuzail (Author) https://creativecommons.org/licenses/by-sa/4.0
date: 2024-07-29
publication date: 2024-07-29
starting page: 246
ending page: 257
doi: 10.62569/iijb.v1i3.44