Revenue Growth Research Articles

Optimizing Talent Management Strategies for Enhanced Employee Engagement and Satisfaction in Automotive Sector

Examining the impact of talent management on organizational performance is a crucial part of talent management practices in shaping the success and sustainability of modern organizations. Talent management encompasses a wide range of HR strategies and processes, including recruitment, development, retention and succession planning. Using a multidisciplinary approach, this study attempts to assess the direct and indirect effects of talent management on organizational performance. It examines various aspects of talent management, such as leadership development, employee engagement and training initiatives, to ensure their impact on outcomes such as revenue growth, profitability, productivity and innovation. The research also examines the mediating effects of factors such as organizational culture and external conditions to achieve a comprehensive analysis. The results of this study will be invaluable to organizational leaders, HR professionals and policy makers seeking to optimize their talent management strategies. By shedding light on the most effective talent management practices and their long-term effects, this study aims to provide practical recommendations to improve organizational effectiveness, foster innovation and maintain competitive advantage in an ever-evolving business environment.

Analisis Strategi Bidang Perdagangan PT.Petrokopindo Cipta Selaras dalam Upaya Meningkatkan Performa Penjualan

The research aims to analyze the trading strategies implemented by PT. Petrokopindo Cipta Selaras to enhance sales performance. The study employs a quantitative descriptive method, utilizing data collection techniques such as interviews, observations, data processing, and documentation. The collected data is analyzed thematically to identify the strategies used by the company to improve operational performance and customer satisfaction.Based on the analysis of data from PT. Petrokopindo Cipta Selaras for the period 2021-2023, it is observed that Market Share, Market Growth, and Revenue Growth have increased based on the calculation of revenue. The results of the hypothesis test indicate that Market Share and Market Growth have a significant impact on Revenue Growth. It is expected that the research findings will provide a deep understanding of PT. Petrokopindo Cipta Selaras's ability to effectively understand and respond to consumer preferences. This understanding will serve as a foundation for formulating strategic analysis to enhance sales performance, helping the company to maintain and increase market share, and strengthen its reputation as a trusted provider of logistics solutions, trading services, and industrial needs.

Oil Revenue, Institutional Quality and Economic Growth in Nigeria

This study examined the interaction of oil revenue and institutional quality on economic growth in Nigeria over the period of 1993 - 2022. The World Development Indicator (WDI) and the Central Bank of Nigeria (CBN) statistical bulletin were the sources of the annual time series data used in this study. Employing the Autoregressive Distributed Lag (ARDL) estimation technique, findings reveal that oil revenue impacts economic growth positively in the short-run but negatively in the long run, while institutional quality exhibits positive impact in both the short-run and long-run period. It was also discovered that the interaction of oil revenue and economic growth could enhance economic growth in Nigerian both in the short-run and long-run period. Access to clean fuels and technologies contributes positively to economic growth in both short-run and long-run period, while fiscal policy rating only has statistically significant positive association with economic growth in Nigeria over the observed period. This study therefore recommends the need to strengthen political institutions for effective utilization of oil revenue, and implementation of strategic diversification policies for the development of other sectors in the economy for economic prosperity in Nigeria.

Exploring the Relationship Between Tax Revenue and Economic Growth in Uganda

Exploring the Relationship Between Tax Revenue and Economic Growth in Uganda

GST dynamics in India: Exploring state revenue trends, GDP impact, and economic resilience

Since its inception, the Goods and Services Tax (GST) has been established as a pivotal revenue source for both the central and state governments in India. A comprehensive understanding of the evolving role of GST in shaping India's taxation landscape and influencing both central and state fiscal strategies is aimed to be offered by the research. An analysis of GST collections was presented, and variations in states' revenue performance before and after the implementation of GST were discussed in the study. This examination could include how different states adapted to the new tax regime and whether disparities in revenue generation were present. The data of GST collections across states was utilized, and the variation in the average growth of government revenue after the implementation of GST was analyzed. Descriptive statistics, Paired Sample T tests, and Regression were the statistical techniques used for the analysis. The findings of the study indicate a fluctuating trend in India's GST collections, with Maharashtra consistently leading but experiencing a notable decline in FY 2024. The average growth of GST collections shows an increasing trend until 2023, with a decrease in 2024. Paired T test results reveal a significant positive impact on government revenue growth post-GST implementation across all states. The regression analysis underscores a significant relationship between GST and GDP, emphasizing its broad economic influence. Implications include the need for nuanced policy responses to regional variations and consideration of GST dynamics in economic policymaking for sustained positive effects on government revenue growth and economic stability.

Modelling the Relationship Between Public Expenditure, Tax Revenue and Economic Growth in Türkiye Using the AARDL Approach

This study aims to investigate the macroeconomic impact of fiscal policy in Türkiye, where fiscal policy faces several challenges. Using annual time series data from 1980 to 2021, we examine the impact of tax and public expenditure subcomponents on GDP using the augmented autoregressive distributed lag (A-ARDL) bound test approach proposed by Sam et al. (2019). The A-ARDL test results indicate that tax revenue has a positive impact on economic growth in the short run, while tax revenue has a negative impact on economic growth in the long run. Furthermore, we conclude that increases in current and investment expenditures have a positive impact on economic growth in the short and long run, while increases in transfer expenditures have a negative impact on economic growth in the short run.

Chinese Multinationals Gaining Global Dominance

Chinese firms have become key players in the global economy. Their rise is a defining feature since the turn of the century. In this paper, we analyze the ascent of Chinese firms in global business, the factors behind their emergence and how they have disrupted the global competitive landscape. Through the empirical study of large samples of firms and the help of databases like Capital IQ, FdI Markets and SDC Platinum, the paper examines the revenue growth and global expansion of Chinese firms– highlighting, among others, trends in geographical and sectoral distribution and modes of entry in foreign markets. The paper pays also particular attention to the rise of Chinese firms as global innovators and includes several cases studies in key industries. The paper concludes that while Chinese firms’ global expansion benefited from a favorable global environment, the current trade wars and geopolitical tensions, may be more challenging.

Tác động của cấu trúc vốn đến suất sinh lời trên tổng tài sản của các doanh nghiệp ngành dầu khí

The study analyzes the impact of capital structure on the Return on Assets (ROA) of oil and gas industry enterprises during the period from 2014 to 2022. Based on data from 44 oil and gas enterprises in Vietnam with 396 observations, the research employs the Pooled Ordinary Least Squares (OLS), Fixed Effects Model (FEM), Random Effects Model (REM), and Generalized Least Squares (GLS) models. Specifically, the revenue growth rate (SGROWTH) has a positive impact on ROA, while the short-term debt ratio (STD) and the period of oil and gas industry crisis (T) have a negative impact on the Return on Assets of oil and gas industry enterprises in Vietnam. This study provides information on the impact of capital structure on oil and gas industry enterprises in Vietnam during the crisis period, aiming to assist business managers in identifying potential risks during the crisis period and proposing appropriate and timely measures.

A COMPARATIVE ANALYSIS OF THE ECONOMIC IMPACT OF THE PERFORMING ARTS INDUSTRY ON LOCAL COMMUNITIES IN URBAN AND RURAL SETTINGS: A DESCRIPTIVE STUDY

The performing arts industry in India significantly contributes to local economies through job creation, tourism revenue, and local business growth. This paper presents a comparative analysis of the economic impact of the performing arts in urban and rural areas, focusing on two key objectives: evaluating the economic contributions of the performing arts to urban and rural communities, and analyzing the differences in economic outcomes due to varying levels of infrastructure, investment, and audience participation. The analysis reveals that urban areas, with their superior infrastructure, higher investment levels, and diverse audiences, generate substantial economic benefits through large-scale events and festivals. These events create employment, drive tourism, and foster business growth. In contrast, rural areas, while benefiting from traditional and folk performances, face challenges such as limited infrastructure and financial constraints. However, rural arts festivals and cultural tourism initiatives have shown potential in stimulating local economies, especially in underdeveloped regions. The study highlights the need for targeted investment and policy interventions to bridge the urban-rural divide and promote equitable economic development through the performing arts. Digital platforms and government initiatives like “Ek Bharat Shreshtha Bharat” are identified as key opportunities to enhance the economic contributions of the performing arts in rural India.

Strategic Human Resource Management And Organizational Performance: An Investigation Of Profit-Oriented Companies In Zambia

Research Aims: The study aims to investigate the correlation between SHRM practices such as incentives and rewards, formal performance appraisal, recruitment and selection, career development, and organizational development with measures of organizational performance, including revenue growth rate, return on equity, return on assets, and profitability Design/methodology/approach: Human resources play a vital role in achieving organisational performance. A study on 169 profit-making organisations in Zambia examined the impact of different Strategic Human Resource Management (SHRM) components on performance. A quantitative approach was used, and the questionnaire was divided into three parts. A stratified random sample of 169 organisations' managers was studied. Research Findings: According to the results, managers highly recommended Incentives, Rewards, recruitment, and Selection to achieve excellence. Formal Performance Appraisal received moderate evaluation, while Career Development received the least. The study concluded that SHRM components affect organisational performance regarding revenue growth rate, return on equity, return on assets, and profitability (p < 0.01). The study recommended aligning the SHRM strategy with other activities to improve performance, focusing on recruitment. Integrating HR practices with overall strategies can bring numerous benefits to organisations. By aligning these two critical components, companies can ensure that their human resources are being utilised effectively and efficiently. Theoretical Contribution/Originality : The study provides evidence that specific SHRM components, such as incentives and rewards, formal performance appraisal, and recruitment and selection, positively correlate with organizational performance measures like revenue growth rate, return on equity, and return on assets. This research contributes to the existing literature by highlighting the importance of integrating HR practices with overall strategies to enhance organizational performance, particularly in the Zambian profit-oriented sector. Keywords: Strategic Human Resource Management, Integration, Performance

Costs of Drug Development and Research and Development Intensity in the US, 2000-2018

ImportanceUnderstanding the cost of drug development can help inform the development of policies to reduce costs, encourage innovation, and improve patient access to drugs.ObjectiveTo estimate the cost of drug development by therapeutic class and trends in pharmaceutical research and development (R&D) intensity over time.Design, Setting, and ParticipantsIn this economic evaluation study, an analytical model of drug development constructed using public and proprietary sources that collectively cover data from 2000 to 2018 was used to estimate the cost of bringing a drug to market, overall and for specific therapeutic classes. The analysis for the study was completed in October 2020.Main Outcomes and MeasuresThree measures of development cost from nonclinical through postmarketing stages were estimated: mean out-of-pocket cost or cash outlay, mean expected cost, and mean expected capitalized cost. Pharmaceutical R&D intensity, defined as the ratio of R&D spending to total sales, from 2008 to 2019, based on the time frame for available data, was also analyzed.ResultsThe estimated mean cost of developing a new drug was approximately $172.7 million (2018 dollars) (range, $72.5 million for genitourinary to $297.2 million for pain and anesthesia), inclusive of postmarketing studies. The cost increased to $515.8 million when cost of failures was included. When the costs of failures and capital were included, the mean expected capitalized cost of drug development increased to $879.3 million (range, $378.7 million for anti-infectives to $1756.2 million for pain and anesthesia); results varied widely by therapeutic class. The pharmaceutical industry as a whole experienced a decline of 15.6% in sales but increased R&D intensity from 11.9% to 17.7% from 2008 to 2019. By contrast, R&D intensity of large pharmaceutical companies increased from 16.6% to 19.3%, whereas sales increased by 10.0% (from $380.0 to $418.0 billion) over the same 2008 to 2019 period, even though the cost of drug development remained relatively stable or may have even decreased.Conclusions and RelevanceIn this economic evaluation of new drug development costs, even though the cost of drug development appears to have remained stable, R&D intensity of large pharmaceutical companies remained relatively unchanged, despite substantial growth in revenues during this period. These findings can inform the design of drug-related policies and their potential impacts on innovation and competition.

The Interplay of Compensation and Working Facilities on Local Tax Revenue: A Data Panel Evidence of Municipalities in East Borneo

This study investigates the relationship between employee compensation, working facilities, and local tax revenue generation in East Kalimantan Province, Indonesia. Utilizing panel data multiple linear regression analysis, the research analyzes financial reports from ten Regencies and Cities (Balikpapan, Samarinda, Bontang, Kutai Timur, Kutai Barat, Kutai Kartanegara, Penajam Paser Utara, Berau, Mahakam Ulu, and Paser) over the period of 2017-2023. Employee compensation, represented by growth of employee expenditures (PBP), captures the year-to-year increase in personnel costs. Working facilities, represented by growth of goods and service expenditures (PBBJ), reflect the year-to-year change in spending on operational resources. The findings reveal a positive association between both growth in employee expenditures and growth in goods and services expenditures with local tax revenue, but these relationships are not statistically significant. This suggests that factors beyond employee compensation and working facilities likely play a more prominent role in driving regional tax revenue growth.

A Comprehensive Literature Review on AI and Its Impact on Business Value

This comprehensive literature review explores the intersection of artificial intelligence (AI) and business value, aiming to provide a holistic understanding of how AI technologies influence organizational performance and economic outcomes. The review synthesizes research findings from diverse studies to examine the multifaceted impacts of AI on various aspects of business value, including operational efficiency, strategic decision-making, customer experience, and competitive advantage. The review begins by defining key AI technologies such as machine learning, natural language processing, and robotics, and their applications within different industry sectors. It then delves into how these technologies contribute to enhanced business processes, cost reduction, innovation, and revenue growth. Special attention is given to case studies and empirical research that demonstrate the tangible benefits and challenges associated with AI adoption in business contexts. Additionally, the paper addresses the role of AI in fostering datadriven decision-making and its implications for organizational agility and strategic alignment. The review also highlights gaps in the existing literature, such as the need for more longitudinal studies and sector-specific analyses to better understand the long-term effects of AI on business value. By providing a consolidated view of current research and identifying future research directions, this review offers valuable insights for academics, practitioners, and policymakers interested in leveraging AI to maximize business value and achieve sustainable competitive advantage

Correlation Between Scientific and Technological Innovation and Financial Performance of Seed Enterprises: Application of Principal Component Analysis Algorithm in Performance Evaluation

This study explores the relationship between scientific and technological innovations and the financial performance of startups, focusing on a representative Artificial Intelligence (AI) healthcare startup. Utilizing Principal Component Analysis (PCA), the research aims to dissect the complex interplay between innovation-related metrics—such as R&D spending, patent counts, and technology adoption rates—and financial outcomes like revenue growth, profitability, and market share. The PCA methodology enabled the reduction of high-dimensional data into PCA, which clearly illustrates how various dimensions of innovation impact financial metrics. The approach used in the investigation helps people comprehend more thoroughly how development benefits business viability in several different manners and provides startups with practical advice to use when preparing their revolutionary investments. The objective of the research is to assist the ecosystem of startup consumers (including investors, business owners, and policymakers) in making better decisions that balance technological progress with economic objectives.

Value drivers for management and value generation: Financial analysis in a Higher Education Institution

Objective. To describe, from a value management perspective, the impact of applying operational value drivers and microvalue drivers in a Private Higher Education Institution located in Medellín, Colombia. Methodology. This is qualitative research framed as a descriptive case study. It employs three stages to identify, determine, and propose value drivers for generating and managing value within the institution. Tools used for data collection included: (i) A reporting table to determine institutional microvalue drivers; (ii) financial statements from the last three years, and (iii) a report and recommendation for implementing value drivers within the organization. Results. The results showed it does not effectively build value despite the Private Higher Education Institution generating surpluses. Moreover, the institution’s performance analysis reveals that operational and non-operational expenses have grown at rates that overshadow revenue growth. Conclusions. The study concludes that while the institution is profitable, it struggles with value creation due to onerous asset costs relative to net surpluses. The findings indicate potential medium to long-term liquidity issues due to inefficient working capital management and increased delinquency rates, suggesting that profitability and liquidity drivers are not optimally managed.

Interconnectedness of Health and Economy in Post-COVID-19: A Systems Thinking Approach to Synergies, Trade-Offs, and Policy Responses in Nepal.

This study addresses the economic challenges posed by the Coronavirus Disease 2019 (COVID-19) pandemic, with a specific focus on Nepal. Employing a Systems Thinking approach, the study develops a comprehensive model that integrates macroeconomic interventions, exploring the trade-offs and synergies among various economic sectors. The interconnectedness of health, economic, and policy domains highlights the need for a holistic understanding of the pandemic's effects. An exploratory research design was used. The model introduces three primary subsystems-import, local demand, and local production-illustrating their interdependence. The causal loop diagram depicts the implications of fiscal and monetary policies on the economy, emphasizing the synergy and trade-offs resulting from policy interventions. Findings reveal the significant economic impact of the pandemic on Nepal, leading to its negative growth rate in FY 2020/21, the first time Nepal has experienced this in the last two decades. The results show that both intended and unintended consequences are observed following the adoption of fiscal and monetary policy that aimed at minimizing the spread of virus suggesting a complex nature of relationship among the policy variables. The fiscal policy induced negative consequences on the increasing loan, slow revenue growth, while positive feedbacks are observed on increased investment opportunities, and boosting of local economy. The monetary measures yielded unintended consequences on the rising land prices, surge in share market. The study concludes by emphasizing the crucial role of informed policymaking in navigating the complex landscape, offering insights for creating a resilient and sustainable post-pandemic future.

Cluster approach to regional oil and fat subcomplex development

The article studies regional oil and fat subcomplex development in terms of the cluster approach application based on coordinating economic interests of sunflower seed producers, processing and marketing organizations under the condition of appropriate government support, as well as methodological, organizational, and information support by the relevant structures. On the basis of the production and economic indicators analysis it has been revealed that in the Saratov region sunflower production is quite effective, but the lack of interconnection between the oil and fat subcomplex subjects leads to uneven production volumes and highly varying profitability in the context of municipal districts of the region and lost profits formation at all stages of product movement. The author has developed a scheme of the regional oil and fat cluster subjects territorial location, represented by the areas of the cluster production core (with sunflower production volumes above the average regional level), production linking areas (with sunflower production volumes below the average regional level), as well as areas with developed infrastructure (with the presence of processing and storage facilities, and transportation hubs), allowing to establish an effective logistics system with mutually beneficial cooperation between regions. On the example of sunflower seed producers in the Saratov region clustering efficiency has been shown, which consists in production costs reduction as a result of transaction costs reduction and sales revenue growth due to the increase in the sunflower purchase price. The study results can be used in programs and proposals development to strengthen integration ties between the agro-industrial complex subjects.

From Plate to Planet: Factors Influence Thai Consumers’ Adoption Intention as Sources of Actual Behavior Development of Plant-Based Food

Introduction: This study investigates the factors influencing Thai consumers’ acceptance of plant-based food products. Drawing upon the Theory of Planned Behavior (TPB) attitudes, subjective norms, perceived behavioral control, Diffusion of Innovation Theory (DOI), personal innovativeness and environment concern, are examined as predictors of adoption intention and actual behavior. Methods: The quantitative approaches collected data with convenience sampling method from Thai consumers using online questionnaires. A structural equation modelling (SEM) was employed to analyse the confirmatory factor analysis and path analysis on relationships among variables and hypothesis testing. Results: The findings reveal significant positive relationships between attitudes, subjective norms, environmental concern, and personal innovativeness to adoption intention through actual behavior of plant-based food products. Perceived behavioral control did not impact adoption intention. Discussion: The results underscore the importance of attitudes, environmental concern, subjective norms and personal innovativeness in shaping consumer behaviour towards plant-based foods. Plant-based entrepreneurs can promote adoption to behavior on product launching using various factors across research fields as marketing strategies and communication tools regarding increase the product adoption and revenue growth.

Digital Circular Economy and the Global Ecotourism Sector: A Critical Perspective

This perspective seeks to build meaningful linkages between the digital circular economy and the global ecotourism sector. The ‘new normal’ in a post-pandemic world calls for innovative solutions to the challenge of low revenue growth in the traditional tourism sector. Ecotourism or sustainable tourism can be the way forward, provided it is coupled with emergent digital technologies of the likes of artificial intelligence, big data and the internet of things, among many others. This article relies on an existing review of literature from all over the world on the theme in order to arrive at meaningful inter-relationships between the digital circular economy and the global ecotourism sector. The main conclusion of this opinion piece is as follows. For ensuring a prosperous global ecotourism sector (or sustainable tourism), moving towards a digital circular economic framework ensures not just a reduction in the depletion of finite natural resources but also an enhancement in biodiversity and a significant reduction in business costs. Thus, ecotourism and digital circular economy aim at creating sustainable value both for businesses and the environment in more ways than one. Additionally, some of the major policy and managerial implications of this study pertain to the need for, first, greater local community involvement in the ecotourism sector; second, constant upskilling of the workforce in the sector with regard to latest digital technologies for their long-term benefit; and last, building a robust digital framework and ensuring last mile connectivity for all ecotourist destinations.

Comparing IMU outputs between 1st team and U18 female soccer players throughout preseason

With growth in professionalism, popularity and revenue in women’s soccer, greater investment is being made throughout academy environments to ensure young players can reach the physical, physiological, and technical demands of the sport. However, limited evidence exists to support the transition at club level between youth academy and senior players, and there is ambiguity in determining differences in physical loading. Thus, this study aimed to compare physical inertial measurement units (IMU) outputs between female U18 academy players and professional soccer players throughout pre-season. Participants were recruited from the same Scottish women’s soccer team U18 squad (n = 19, mean ± SD age = 16.5 ± 0.6 years) and 1st Team (n= 23, mean ± SD age = 25.1 ± 5.6 years) during the 2023/24 season. Top speed (m/s), distance covered (m), sprint count (n), and count of acceleration and deceleration actions (n) from IMU output were analysed (Playermaker). Descriptive statistics summarised key findings, with inferential methods utilised to determine variances between squads. Multivariate tests reported statistical significance at P < 0.05 between squads for physical metrics measured from 66 training sessions and 10 games. Results found mean weekly distance was significantly higher for U18 players in comparison to 1st team (6,252 ± 1,480 vs. 5,076 ± 2,064 m, P < 0.01). Mean weekly top speed was significantly higher in 1st team in comparison to U18 squad (6.33 ± 0.34 vs. 6.03 ± 0.34 m·s−1, P < 0.01). Mean weekly sprint count was significantly higher in 1st team versus U18 (11 ± 10 vs. 5 ± 5, P < 0.01). No significant differences were highlighted for count of acceleration and deceleration actions between squads (P > 0.05). These findings show that although U18s are exposed to a greater volume, this is performed at lower intensities within the pre-season window, and therefore potentially not replicating the high intensity intermittent nature of the game. These findings suggest the introduction of individualised speed thresholds appropriate for developmental state. Furthermore, formatting future training to incorporate more anaerobic physiological adaptations to help prepare academy players for the physical demands of professional soccer.