Revenue Growth Research Articles

USING GENAI TO TRANSFORM DIGITAL PRODUCT DEVELOPMENT AND DIGITAL SALES IN THE BANKING SECTOR

The article examines the problems and strategic applications of using Generative Artificial Intellegence (GenAI) in order to transform the development of digital products and digital sales in the banking sector. The intensive development of GenAI creates unprecedented opportunities for the transformation of this sector. The relevance of the research is due to the need to rethink traditional approaches in the context of digitalization. There are contradictions regarding the optimal pace of GenAI implementation: a number of researchers call for aggressive digital innovations, while others point to the need for a gradual transition based on financial institutions’ readiness and the maturity of the technologies themselves. The aim is to analyze the key areas of application of GenAI in the characterized area. The article systematizes the elements of the conceptual framework and the advantages of using generative artificial intelligence. The study proposes a novel strategic framework for assessing GenAI's impact and applications across key areas within the banking sector. Special attention is given to how GenAI affects the process of digital product development of financial products and its potential applications in digital sales, particularly through customer engagement, hyper-personalized communication, and chatbots. As a result of the study, it was found that the introduction of GenAI in the banking sector can significantly reduce the time to bring new products to market, enhance personalization in customer interactions, and drive revenue growth through innovative cross-selling strategies. The articles’ materials are of practical value for the heads of commercial and retail banks, specialists in digital transformation, and researchers in the field of financial technologies.

Emerging trends in e-commerce and their applications: Driving digital transformation in retail

The e-commerce industry is rapidly evolving, influenced by emerging technologies like artificial intelligence (AI), augmented reality (AR), voice commerce, blockchain, and personalization. This paper explores the latest trends shaping the future of e-commerce, backed by real-world data, analysis, and practical applications. We assess the impact of these technologies on customer experience, operational efficiency, and revenue growth, providing a data-driven examination of how leading companies leverage these trends. Results from our analysis highlight the key opportunities and challenges facing businesses today.

Dissecting Indonesian Insurance Profitability and Efficiency: Du Pont Diagnostic Tool.

This research compares the financial performance of insurance companies in Indonesia using the Du Pont method, identifies the determinants of differences in profitability and efficiency, and provides strategic recommendations. The methodology involves analyzing the 2023 audited financial statements of PT Asuransi Dayin Mitra Tbk and PT Asuransi Bintang Tbk as samples, applying the Du Pont method, financial ratios, and qualitative analysis. The results reveal a significant difference in profitability, with PT Asuransi Dayin Mitra Tbk excelling in net profit margin, asset turnover, and a conservative capital structure, while PT Asuransi Bintang Tbk outperforms in underwriting risk management, claims handling, and aggressive marketing strategies. Strategic recommendations include maintaining strengths, exploring revenue growth, enhancing cost efficiency, and adjusting capital structure. This research contributes to understanding the dynamics of financial performance in the Indonesian insurance industry.

Predicting financial distress in TSX-listed firms using machine learning algorithms

IntroductionThis study investigates the application of machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict financial distress in companies. Given the critical need for reliable financial health indicators, this research evaluates the predictive capabilities of various ML techniques on firm-level financial data.MethodsThe dataset comprises financial ratios and firm-specific variables from 464 firms listed on the TSX. Multiple ML models were tested, including decision trees, random forests, support vector machines (SVM), and artificial neural networks (ANN). Recursive feature elimination with cross-validation (RFECV) and bootstrapped CART were also employed to enhance model stability and feature selection.ResultsThe findings highlight key predictors of financial distress, such as revenue growth, dividend growth, cash-to-current liabilities, and gross profit margins. Among the models tested, the ANN classifier achieved the highest accuracy at 98%, outperforming other algorithms.DiscussionThe results suggest that ANN provides a robust and reliable method for financial distress prediction. The use of RFECV and bootstrapped CART contributes to the model’s stability, underscoring the potential of ML tools in financial health monitoring. These insights carry valuable implications for auditors, regulators, and company management in enhancing practices around financial oversight and fraud detection.

Getting some fuel from incumbents: bank-FinTech relationships and effects on newcomers’ performance

ABSTRACT This study investigates the differences existing between the effects of majority and minority equity investments and partnership (non-equity) agreements on FinTechs’ performance. It also explores different effects among strategic alliances with banks and Other Financial Institutions (OFIs). Analysing a panel of 122 FinTechs operating in Italy over the period 2007–2019, this study shows that equity agreements positively influence performance measured through revenue growth. The effect of banks’ majority equity investments is delayed compared to minority stakes, while partnership agreements are less relevant. Only banks’ minority equity investments signal FinTechs’ quality and enhance their ability to secure subsequent funds, while majority equity investments are strongly manned by banks, excluding new investors entry. Similar effects characterise relationships with OFIs, but with weaker intensity and persistence. Corporate control by OFIs negatively influences revenue growth. For FinTechs’ managers, this study underscores the critical role of equity agreements with banks in boosting growth. Likewise, banks’ managers could create supportive environments for FinTechs to maximise innovation and the benefits of strategic alliances. These findings also hold social implications, since successful bank-FinTech relationships can improve efficiency and innovation in customer servicing.

Business Development Strategy in Telecommunication Company at PT XYZ

The rapid and dynamic growth of the telecommunications and information industry in the era of Society 5.0 presents significant challenges for telecommunication providers, including PT XYZ, a leading telecommunications service company in Indonesia. This study aims to analyze internal and external factors affecting PT XYZ's business revenue, formulate alternative strategies, and prioritize business strategies to address challenges and enhance revenue. Using qualitative methods, data collection involved observation, interviews, surveys, and literature reviews, drawing from primary and secondary sources. The study employed SWOT, PESTLE, and Porter’s Five Forces analyses to evaluate the company’s environment comprehensively. Findings indicate that PT XYZ is positioned in cell I (Grow and Build) in the IE matrix, with IFE and EFE scores of 3.851 and 3.0, respectively. Recommended strategies include market penetration, product development, and integrative strategies such as ERP implementation to enhance operational efficiency and adapt to technological changes. The study underscores the importance of creating a diverse portfolio of customer-driven technology products and expanding market reach while adopting effective risk management practices. These strategies are expected to sustain PT XYZ’s competitive position and drive revenue growth in the telecommunications industry.

Auditor Use of Benchmarks to Assess Fraud Risk: The Case for Industry Data

ABSTRACT Auditors perform preliminary analytical procedures to identify unusual or inconsistent relationships between expectations and recorded balances. The results of preliminary analytical procedures help auditors assess the risk that financial statements are materially misstated due to fraud. Via a survey of practicing auditors, we find that auditors rely heavily on prior-year balances and relations within the client’s financial data as benchmarks when developing expectations. Even though auditing standards describe additional benchmarks, which are less susceptible to management manipulation (e.g., industry trends), our survey results indicate that auditors are less apt to employ these benchmarks. Meanwhile, our empirical analyses of revenue frauds reveal that benchmarks derived from industry data, nonfinancial measures, and cash flows outperform both prior-year balances and relations within the client’s financial data. Of the benchmarks we examine, the difference between a company’s revenue growth and the revenue growth of its industry has historically been the best fraud indicator. Data Availability: Data are available from the authors upon request. JEL Classifications: M40; M41; M42; M48.

Unlocking Nonprofit Innovation for Growth: Director Insights from Australia

ABSTRACT Our research unlocks the new construct of “innovation for growth” in nonprofits, defined as “innovation activities undertaken in the pursuit of revenue growth.” By interpreting rich quantitative and qualitative data from a survey of 101 directors of mid-to-large, mainly Australian nonprofits, it advances nonprofit-innovation and -governance scholarship, and reveals perceived organizational strategies and returns for nonprofit marketing leaders and boards seeking to pursue this innovation type. The research can also be drawn on to inform innovation policy for nonprofits, thus supporting the development of a thriving, impactful sector and providing flow-on benefits for society.

Strategic Leadership in IT: Governance, Innovation, and Value Creation Through Effective Portfolio Management

This comprehensive article examines the critical role of IT leadership in driving organizational success through effective governance, innovation, and value-creation mechanisms. The article analyzes data from multiple industry sources, revealing that organizations with mature IT governance frameworks achieve 15-25% higher returns on technology investments and demonstrate 3.5 times faster revenue growth. Through detailed case studies of Datatronics and Genex Fuels, the research illustrates how strategic IT leadership can deliver substantial business value, with Datatronics achieving a 312% return on digital investments and Genex Fuels realizing a 267% ROI through systematic portfolio transformation. The article encompasses key areas, including IT governance frameworks, portfolio management strategies, technology roadmap development, and productivity enhancement approaches, supported by quantitative data demonstrating how organizations leveraging advanced IT capabilities significantly improve operational efficiency, customer satisfaction, and market competitiveness.

Financial Statement Forecasting and Financing

Using a “plug” figure or “slack term” within a pro forma analysis is the standard method to allow a forecasted balance sheet to have assets equal to liabilities and equity. Seemingly, different types of plug values are demonstrated to be mathematically linked to each other. Further, by exploring cash as a plug figure, a solution emerges for a “target revenue growth rate” in which cash is not depleted. If a private equity venture can generate revenue growth above the target revenue growth rate, cash will accumulate and improve the return on the private equity investment.

Analisis Keuangan dan Perencanaan Bisnis: Kasus Bengkel Wahda Pringapus

This article aims to analyze financial performance and develop a strategic business plan for Bengkel Wahda Pringapus, a small and medium-sized enterprise (SME) in the automotive repair sector. The primary issues are the lack of structured financial planning and optimal business strategy, which limits growth potential amidst competition with modern repair shops that utilize the latest technology. The study draws on financial analysis and business planning theories to address these challenges, including the Balanced Scorecard and human resource management. Data were collected through semi-structured interviews and direct observation and then analyzed qualitatively. The findings indicate that strategies focused on service quality improvement and adopting simple technologies have significantly enhanced Bengkel Wahda’s financial performance, evidenced by annual revenue growth of 15%. This study recommends further expansion of these strategies to maintain competitiveness in the future, including human resource development and adopting more efficient technologies.

India’s Energy and Fiscal Transition

Abstract This paper looks at India’s expected energy transition towards a low carbon future and studies how government revenues from fossil fuels will be affected over the next two decades. It takes the International Energy Association (2021) scenarios for India and studies how both tax revenues and non-tax revenues for national (central) and sub-national (state) governments would be affected. The study finds that under fairly standard assumptions on growth, prices, and taxes, there would be continued growth in revenues from fossil fuels till 2040; however, as a share of the GDP and overall government budget it would fall significantly and this would impose challenges for both the state and central governments in India. Moreover, since the central government is the greatest beneficiary of fossil fuels, it would face the brunt of the pressure. The paper also briefly discusses the possible impact of net zero and carbon taxes if India were to take that route, as well as how subsidies are expected to impact and be impacted by such considerations.

Investigating the role of brand love on brand advocacy in the local eco hijab fashion industry

Purpose The study analyzes brand love in local eco-hijab fashion (LEHF) by discussing the value of collectivism, fashion consciousness, environmental value, religiosity and brand advocacy. LEHF becomes the trend pursued by consumers, so this can create market opportunities to optimize marketing strategies. The focus on LEHF in a sustainable fashion would allow local businesses to develop local values-based companies. This study uses the value attitude-behavior model to analyze data. Design/methodology/approach This research uses a quantitative survey to obtain data. The questionnaire is spread to 300 respondents with a purposive sampling approach, especially respondents who have worn LEHF. Findings This study shows that collectivism values, fashion consciousness, environmental values and religiosity influence brand love, while brand love influences brand advocacy related to LEHF. On the other hand, consumers are the target market with a fashion consciousness to follow the trend of hijab clothes. This also shows they wear clothes to fulfill religious values while prioritizing the latest styles. Research limitations/implications Since this study focuses on LEHF, this product is only relevant to hijab fashion. This takes into account the potential of Muslim-dominated Indonesian society. The fashion category can be enlarged to include more local products in future studies. A large selection of goods may promote greater use of regional interests. Practical implications For business actors, particularly micro and medium firms that are just starting to grow to support the local hijab fashion industry company, this research has managerial implications. This presents a chance for business actors to improve the local economy and opens doors for establishing more employment possibilities. The growth of the regional hijab fashion market offers an opportunity to satisfy the demands of customers who favor regional goods. Brand love in LEHF may foster business revenue growth and help local firms compete favorably with international brands. Marketers for LEHF are anticipated to intensify their efforts to advance socialism, the environment and fashion sensibility. Additionally, LEHF marketers emphasize the importance of religiosity when promoting their products to the target population. Marketers are also aware that the study’s environment is Indonesia, which has 90% Muslim population. Marketers have an excellent opportunity to maximize this scenario. Social implications This study also had social implications. The goal of producing locally made eco-hijabs is to benefit nearby communities and the environment. This aligns with the more general objectives of ethical and sustainable fashion. Sustainable methods are used in production, such as using eco-friendly colors, water conservation and waste reduction. Sustainable manufacturing methods are designed to reduce their adverse effects on the environment and encourage ethical production. Empowerment and community engagement may be involved in the manufacturing of locally-made eco-hijabs. This can entail educating and hiring regional craftspeople or incorporating neighborhood residents in manufacturing. Originality/value The study focuses on religiosity and environmental value to further analyze its influence on LEHF. The context of the products analyzed in this study is LEHF, which prioritized local production and strengthened local wisdom through pro-environment. The study used the VAB (value, attitude, behavior) model to analyze the concept.

Developing innovative financial products for sustainable economic growth

In today’s competitive landscape, technology firms increasingly turn to advanced data analytics as a strategic tool for boosting revenue growth and operational efficiency. This review explores how leveraging sophisticated analytical techniques can enable these organizations to extract actionable insights from vast datasets, thereby enhancing decision-making processes and driving business performance. Advanced data analytics encompasses a range of methodologies, including predictive analytics, machine learning, and big data analysis, which collectively empower firms to identify trends, optimize resources, and tailor products to meet evolving customer demands. One of the primary benefits of utilizing advanced data analytics is the ability to enhance revenue growth through improved customer targeting and segmentation. By analyzing customer behaviors and preferences, technology firms can develop personalized marketing strategies that resonate with their target audiences, resulting in increased conversion rates and customer loyalty. Moreover, data analytics facilitates the identification of new market opportunities, enabling firms to innovate and expand their product offerings effectively. Operational efficiency is another critical area where advanced data analytics proves invaluable. By monitoring key performance indicators (KPIs) and operational metrics, technology firms can streamline their processes, reduce costs, and minimize waste. Predictive analytics, in particular, allows organizations to anticipate potential disruptions in their operations, enabling proactive measures to mitigate risks and maintain smooth workflows. This capability not only enhances productivity but also fosters a culture of continuous improvement. Additionally, advanced data analytics supports informed strategic planning by providing insights into market dynamics and competitive positioning. Firms can leverage these insights to make data-driven decisions, allocate resources effectively, and align their business strategies with market trends. In conclusion, advanced data analytics serves as a catalyst for revenue growth and operational efficiency in technology firms. By embracing these analytical techniques, organizations can harness the power of data to drive innovation, improve customer engagement, and achieve sustainable competitive advantage. As technology continues to evolve, the strategic implementation of advanced data analytics will be essential for firms seeking to thrive in an increasingly data-driven world. Keywords: Advanced Data Analytics, Revenue Growth, Operational Efficiency, Technology Firms, Predictive Analytics, Customer Targeting, Strategic Planning.

Tracing the Success of QRIS Policy Implementation in Surabaya City’s Parking Levy System

This research explores the effectiveness of the Surabaya City Government’s policy on parking levy payments via the Quick Response Code Indonesian Standard (QRIS). The study aims to analyze the policy’s success in increasing Regional Original Income (Pendapatan Asli Daerah or PAD) and enhancing community welfare by improving the payment experience for parking users and supporting efficient management by parking attendants. Using Van Meter and Van Horn’s policy implementation framework, which includes six critical factors—policy standards and objectives, resource allocation, characteristics of implementing organizations, inter-organizational communication, implementer disposition, and socio-political and economic environment—the study evaluates both the facilitating and hindering elements of the policy. A qualitative descriptive methodology was employed, with data gathered through literature reviews, field observations, and structured interviews with key stakeholders, including government officials, parking service providers, and users. Analysis revealed that QRIS implementation has been beneficial in promoting transparency and efficiency in revenue collection, supporting PAD growth. However, challenges such as varying levels of digital literacy among users, limited internet access in certain areas, and reluctance among some parking attendants to adopt digital systems were identified as barriers to optimal implementation. Key findings suggest that the policy’s long-term success hinges on consistent inter-agency coordination, community engagement initiatives to raise digital payment awareness, and ongoing training for parking attendants to improve digital proficiency. The study concludes that achieving sustainable success in implementing non-cash transactions for parking levies requires a holistic approach, integrating community awareness, inter-organizational support, and policy adaptability. This research offers valuable insights for policymakers seeking to improve public service delivery through digital transactions. It highlights the importance of adaptive management in fostering community welfare alongside regional revenue growth.

Fairness in online vehicle-cargo matching: An intuitionistic fuzzy set theory and tripartite evolutionary game approach

This paper explores the concept of fairness and equitable matching in an on-line vehicle-cargo matching setting, addressing the varying degrees of satisfaction experienced by shippers and carriers. Relevant indicators for shippers and carriers in the on-line matching process are categorized as attributes, expectations, and reliability, which are subsequent quantified to form satisfaction indicators. Employing the intuitionistic fuzzy set theory, we devise a transformed vehicle-cargo matching optimization model by combining the fuzzy set’s membership, non-membership, and uncertainty information. Through an adaptive interactive algorithm, the matching scheme with fairness concerns is solved using CPLEX. The effectiveness of the proposed matching mechanism in securing high levels of satisfaction is established by comparison with three benchmark methods. To further investigate the impact of considering fairness in vehicle-cargo matching, a shipper-carrier-platform tripartite evolutionary game framework is developed under the waiting response time cost (WRTC) sharing mechanism. Simulation results show that with fairness concerns in vehicle-cargo matching, all stakeholders are better off: The platform achieves positive revenue growth, and shippers and carriers receive positive subsidy. This study offers both theoretical insights and practical guidance for the long-term and stable operation of the on-line freight stowage industry.

Effect of Political Stability on International Tourism in Kenya

Purpose: The aim of the study was to analyze the effect of political stability on international tourism in Kenya. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Political stability is essential for international tourism in Kenya, as stability fosters a sense of safety that attracts foreign visitors. During peaceful periods, Kenya sees growth in tourist arrivals and revenue, while political unrest, such as the post-election violence in 2007-2008, results in sharp declines as safety concerns deter tourists. Tourism in Kenya is highly sensitive to political fluctuations, with even minor instability affecting tourist perceptions. To sustain and grow its tourism sector, Kenya must prioritize political stability through effective governance, peaceful elections, and strong conflict resolution strategies, which will help build a resilient tourism industry. Unique Contribution to Theory, Practice and Policy: Social conflict theory, political economy theory & the institutional theory may be used to anchor future studies on the effect of political stability on international tourism in Kenya. Implementing robust governance practices, such as transparency, accountability, and anti-corruption measures, will enhance the overall tourist experience and foster trust among potential visitors. Formulating policies that promote good governance and strengthen institutions will create a conducive environment for political stability.

Analysis of Factors Affecting Food and Beverage Company Finances in the Period 2019-2023

Several food and beverage sub-sector companies experienced a decline in profits caused by factors such as the decline in the rupiah exchange rate, declining consumer purchasing power and increasing business spending that exceeded revenue growth. Laboratory analysis is an important indication used in the process of evaluating a company's financial performance. This study aims to analyze the financial performance of food and beverage manufacturing companies listed on the Indonesia Stock Exchange between 2019 and 2023. The research method uses quantitative research. The purposive sampling method was used to collect a total of eighty samples from a particular organization for the purpose of conducting a survey. A technique known as multiple linear regression was used in the data analysis process. Based on the results of the study, there was no significant relationship between corporate social capital and financial performance. However, leverage has an impact on the company's overall financial output. Management should consider the amount of leverage when trying to improve the financial performance of the organization. If manufacturing companies in the food and beverage sub-sector are having difficulty with the availability of laboratories, leverage can be used as a method to improve financial performance. Further research is needed to investigate other aspects that have a major impact on the company's financial performance.

Landscape design and planning using integrating parameter technology and spatial characteristics

With the continuous progress of society, traditional concepts of landscape design are undergoing changes. This research proposes a landscape design and planning approach that integrates parameter technology and spatial characteristics. The introduction of parameter technology makes the design process more flexible and efficient, while the in-depth exploration of spatial features adds depth and individuality to the design. In the optimization of private gardens in the Jiangnan region, the use of landscape design resulted in a 1.72 times increase in construction efficiency. The combination of spatial features increased space utilization to 78.28%, with scores exceeding 9 points in aspects such as layout rationality and aesthetics. Furthermore, the design significantly supported the enhancement of ecological systems and economic benefits, with positive trends observed in vegetation coverage, water resource management, and overall environmental cleanliness, leading to a 20.68% increase in environmental benefits. Economically, the landscaped areas planned after the design not only experienced continuous revenue growth but also achieved a net profit of 1.6209 million RMB within 12 months. This research not only expands the methods and tools of landscape design but also provides strong support for planning practices. It demonstrates reference value in the comprehensive improvement of ecological and economic benefits.

Information Technology Governance Using the COBIT 2019 Framework at PT Bank Pembangunan Daerah Papua

Effective and efficient information technology (IT) management is crucial for the banking industry, especially for PT Bank Pembangunan Daerah Papua (BPDP), which seeks to reinforce its role within the Papua region. Leveraging the COBIT 2019 framework, BPDP aims to enhance IT governance, addressing operational efficiency, information security, and regulatory compliance. This study highlights BPDP's strategic priorities, such as revenue growth, fostering innovation, and customer service excellence, which are essential for sustaining competitive advantage amidst regional geopolitical challenges. By identifying these key priorities, the research uncovers critical areas of improvement, including IT investment optimization, mitigation of regulatory and security risks, and solidifying IT's strategic role in driving business growth. To evaluate BPDP's IT governance maturity, this study applies COBIT 2019's ten design factors, from enterprise goals and risk profiles to IT-related issues, compliance needs, and technology adoption strategies. The findings underscore gaps in risk management, project lifecycle oversight, and resource allocation, offering actionable insights for governance improvement. Enhanced IT integration can support BPDP's larger objectives of sustainable growth and economic development within the region. Furthermore, the study demonstrates that a well-structured governance framework strengthens BPDP's operational efficiency, builds customer trust, and ensures alignment with regulatory standards and evolving technology landscapes. By adopting these governance recommendations, BPDP can achieve long-term success and secure its position as a prominent financial institution in Papua, thus reinforcing its commitment to regional economic growth and compliance with national regulatory standards.