Revenue Growth Research Articles

Pengaruh Sistem Informasi Akuntansi dan Efektivitas Pengambilan Keputusan Terhadap Kinerja UMKM di Desa Pematang Serai

The implementation of Accounting Information Systems (AIS) and the effectiveness of decision-making play a significant role in enhancing the performance of Micro, Small, and Medium Enterprises (MSMEs). This research aims to examine the influence of AIS and decision-making effectiveness on the performance of MSMEs in Pematang Serai Village, Tanjung Pura District. Using a quantitative method and a saturated sampling technique involving 35 MSMEs, multiple linear regression analysis was conducted to test the relationship between AIS, decision-making effectiveness, and MSME performance. The research findings indicate that the adoption of AIS has a significant positive impact on MSME performance, with MSMEs effectively utilizing AIS more likely to experience increased revenue growth, profitability, and operational efficiency. Furthermore, the effectiveness of decision-making was found to have a positive impact on MSME performance, enabling MSMEs to respond quickly to market changes, identify growth opportunities, and optimize resource allocation. By integrating quantitative and qualitative findings, this study provides a comprehensive understanding of the influence of AIS and decision-making effectiveness on MSME performance in Pematang Serai Village

Leveraging Big Data Analytics for Personalized Marketing Strategies in the Hospitality Sector

Purpose: This study sought to understand leveraging big data analytics for personalized marketing strategies in the hospitality sector. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to leveraging big data analytics for personalized marketing strategies in the hospitality sector. Preliminary empirical review revealed that the integration of big data analytics presented significant opportunities for enhancing marketing initiatives within the hospitality industry. It emphasized the importance of investing in robust data infrastructure and analytics capabilities, addressing challenges such as data privacy concerns and organizational resistance to change, and continuously refining personalized marketing strategies based on data-driven insights. Overall, the study highlighted the transformative potential of leveraging big data analytics to drive customer engagement, satisfaction, and revenue growth in the hospitality sector. Unique Contribution to Theory, Practice and Policy: The Relationship Marketing Theory, Technology Acceptance Model (TAM) and Service Dominant Logic (SDL may be used to anchor future studies on leveraging big data analytics for personalized marketing strategies in the hospitality sector. The study provided several recommendations for advancing theory, practice, and policy in the industry. It suggested further exploration of the intersection between big data analytics and relationship marketing theory, emphasizing the importance of understanding employees' attitudes towards data-driven initiatives. Practically, the study recommended investing in data infrastructure, analytics capabilities, and fostering a culture of data-driven innovation within hospitality organizations. Policy-wise, it advocated for the development of industry standards for data privacy and skills development, as well as fostering collaboration between stakeholders to drive innovation and knowledge exchange in the field. Keywords: Leveraging, Big Data Analytics, Personalized Marketing Strategies, Hospitality Sector, Relationship Marketing

The Impact of Production Digitalization Investments on European Companies’ Financial Performance

Businesses investing in production digitalization equipment are supposed to benefit from increased productivity, enhanced efficiency, and revenue growth. Despite the increasing use of digital technologies in business, many companies still struggle to measure and maximize their returns from production digitalization investments. This research assesses the impact of production digitalization investments on companies’ financial performance (operating revenue) for European businesses in the period of 2013 to 2021. To achieve this target, we performed a Fixed Effects Panel Regression analysis, using a sample size of 5706 records from the Orbis database for 30 countries, covering 634 business units. The production digitalization investment in this research is expressed by a calculated variable value, measured as the annual change in a company’s Plant and Machinery value, adjusted with corresponding an annual depreciation value for the assets. The regression output was analyzed by considering the characteristics of the company size and business location. The results suggest that companies in Eastern Europe benefit more from production digitalization than those in Western Europe. The analysis highlights the tendency for the company costs of the employee and intangible fixed asset value to increase as production digitalization investments grow. Additionally, it shows that large companies tend to gain more from such investments than smaller ones. The analysis provides support and guidance for businesses’ production digitalization investment strategic decision-making processes.

Enhancing Sales Strategies In Prime Market Retail Business Using Tuned Gradient Boosting

In the retail sector, comprehending customer behavior and employing effective customer segmentation is pivotal for refining marketing strategies and augmenting profits. This study delves into predictive modeling for customer segmentation at Prime Market, a prominent retail entity. The research initially yields a classification error rate of 25.10% by employing Gradient Boosting for customer classification. However, through meticulous parameter tuning, this rate dramatically improves to 8.6%, achieving an impressive accuracy of 91.4%. This refined model furnishes invaluable insights into Prime Market's customer segments, enabling the customization of marketing tactics and strategic business approaches. Armed with these insights, Prime Market can make data-driven decisions to enhance customer segmentation accuracy, better comprehend customer preferences, and pinpoint potential avenues for revenue growth. Leveraging advanced data analytics and predictive modeling empowers Prime Market to maintain a competitive edge and deliver its clientele a personalized, gratifying shopping experience.

Characterizing the safety profile of vagus nerve stimulation devices for epilepsy from 21,448 manufacturer and user reports.

This study summarizes medical device reports (MDRs) associated with adverse events for vagus nerve stimulation (VNS) devices indicated for epilepsy as reported by the Manufacturer and User Facility Device Experience (MAUDE) database of the US Food and Drug Administration. The MAUDE database was surveyed for MDRs from November 2013 to September 2022 regarding VNS devices for epilepsy. Event descriptions, device problems, correlated patient consequences, and device models were grouped and analyzed in Python. Based on event description, revision surgeries and other unique events were identified. Revenue from VNS device sales was used to approximate growth in their use over time. A total of 21,448 MDRs met the inclusion criteria. High VNS impedance, the most prevalent device malfunction overall (17.0% of MDRs), was the most common factor for 18 of the 102 encountered patient problems and led to 1001 revision surgeries (3371 total revisions). Included in those 18 device malfunctions were 3 of the top 6 occurring patient problems: seizure recurrence (9.9% associated with high impedance; encompassed focal, absence, and grand mal subtypes), death (1.3%), and generalized pain (7.9%). The next 4 top cited device malfunctions-lead fracture (13.7% of MDRs), operational issue (6.6%), battery problem holding charge (4.2%), and premature end-of-life indicator (2.9%)-differed widely in their percentage of cases that did not impact patients (77.4%, 57.3%, 48.9%, and 92.2%, respectively), highlighting differing malfunction severities. Seizure recurrence, the most prevalent patient impact, was the outcome most associated with 32 of the 68 encountered device problems, including high impedance (12.8%), lead fracture (12.2%), operational issue (18.4%), battery problem holding charge (31.2%), and premature end-of-life indicator (8.9%), which comprised the top 5 occurring device problems. In general, MDRs spanned a diverse range including device age, hardware, software, and surgeon or manufacturer error. Trends were seen over time with declining annual MDRs coupled with a rise in the use of VNS devices as gauged by revenue growth. Shifting device and patient problem profiles were also seen in successive models, reflecting engineering updates. This study characterizes the most common and consequential side effects of VNS devices for epilepsy while clarifying likely causes. In addition, the outcomes of 68 distinct device malfunctions were identified, including many not ubiquitously present in literature, lending critical perspective to clinical practice.

Not Only How Much But How: The Importance Of Diversifying Funding Streams In A Reimagined Public Health System.

Revenue diversification may be a synergistic strategy for transforming public health, yet few national or trend data are available. This study quantified and identified patterns in revenue diversification in public health before and during the COVID-19 pandemic. We used National Association of County and City Health Officials' National Profile of Local Health Departments study data for 2013, 2016, 2019, and 2022 to calculate a yearly diversification index for local health departments. Respondents' revenue portfolios changed fairly little between 2016 and 2022. Compared with less-diversified local health departments, well-diversified departments reported a balanced portfolio with local, state, federal, and clinical sources of revenue and higher per capita revenues. Less-diversified local health departments relied heavily on local sources and saw lower revenues. The COVID-19 period exacerbated these differences, with less-diversified departments seeing little revenue growth from 2019 to 2022. Revenue portfolios are an underexamined aspect of the public health system, and this study suggests that some organizations may be under financial strain by not having diverse revenue portfolios. Practitioners have ways of enhancing diversification, and policy attention is needed to incentivize and support revenue diversification to enhance the financial resilience and sustainability of local health departments.

Масштабування бізнесу: міжнародні стратегії експансії

In a globalized world, international expansion has become much more accessible. But despite this, entering new markets is still a difficult marathon that requires clear planning and careful preparation. In most cases, system expansion can take years or even longer, depending on the specifics of the product and the chosen method of market penetration. Ensuring sustainable growth and scaling is one of the most prominent business trends of recent years. The following reasons are obvious: the COVID-19 pandemic, military conflicts and economic upheavals can quickly change the conditions and rules of the market. In such an unstable environment, the priority is not the depth of potential, but the resistance of the enterprise to changes and flexibility, which creates the possibility of effective response to challenges, without the loss of employees and resources. The article formulates the essence of the concept of “business scaling”, defines the differences from the concept of “business growth”. The terms “growth” and “scaling” are often used interchangeably. Although they are related, they have significant differences. Growth means increasing revenue at the same rate as the business adds resources (new team members, technology, capital, etc.). On the other hand, scaling occurs when an organization identifies ways to grow more efficiently, resulting in revenue growth at a significantly higher rate than the increase in resources and costs, which is also characteristic of a startup. Speaking about the relevance of the research topic, it was determined the most common mistakes that international companies often make during the scaling process. They consist of: too rapid expansion; prioritizing short-term goals over long-term goals; loss of attention (focus); predominance of quantity over quality; malfunctions of processes and systems to increase efficiency; lack of flexibility. Avoiding mistakes and achieving efficiency in business scaling processes involves building and implementing a strategy that can be adjusted and adapted to changes in macro- and microenvironmental factors as needed. Companies that scale successfully take into account how the scaling process affects all areas of the organization’s functioning. Key aspects of the business scaling process in the context of international expansion typically include: goals of the company, number of team members and internal business processes. In this article the main possibilities of building a system business that works effectively and generates profit in the conditions of the global market are substantiated. Basic approaches to scaling and strategies for international expansion are outlined. Based on the results of the study, the main risks caused by business scaling were identified, and measures to mitigate them were proposed.

Enhancing Broiler Weight Estimation through Gaussian Kernel Density Estimation Modeling

The management of individual weights in broiler farming is not only crucial for increasing farm income but also directly linked to the revenue growth of integrated broiler companies, necessitating prompt resolution. This paper proposes a model to estimate daily average broiler weights using time and weight data collected through scales. In the proposed model, a method of self-adjusting weights in the bandwidth calculation formula is employed, and the daily average weight representative value is estimated using KDE. The focus of this study is to contribute to the individual weight management of broilers by intensively researching daily fluctuations in average broiler weight. To address this, weight and time data are collected and preprocessed through scales. The Gaussian kernel density estimation model proposed in this paper aims to estimate the representative value of the daily average weight of a single broiler using statistical estimation methods, allowing for self-adjustment of bandwidth values. When applied to the dataset collected through scales, the proposed Gaussian kernel density estimation model with self-adjustable bandwidth values confirmed that the estimated daily weight did not deviate beyond the error range of ±50 g compared with the actual measured values. The next step of this study is to systematically understand the impact of the broiler environment on weight for sustainable management strategies for broiler demand, derive optimal rearing conditions for each farm by combining location and weight data, and develop a model for predicting daily average weight values. The ultimate goal is to develop an artificial intelligence model suitable for weight management systems by utilizing the estimated daily average weight of a single broiler even in the presence of error data collected from multiple weight measurements, enabling more efficient automatic measurement of broiler weight and supporting both farms and broiler demand.

Neobanks in emerging markets: a risk assessment

Neobanks have risen as popular digital challengers to incumbent banks, especially in emerging markets (EMs) where the banking sector is often characterized by oligopolies. This article first estimates the value of Nubank and StoneCo in Brazil, two of the fastest-growing neobanks in Brazil. Normalizing revenue growth assumptions from their financial data, valuation models uncover that Nubank could be overvalued by about two times, whereas StoneCo could be undervalued by 80% of its fair value, as of March 19, 2024. This article then discusses firm-specific (high cumulative net operating losses, low long-term operating margins, high borrowing costs) and adherent macroeconomic (political uncertainty, foreign exchange risks, high equity risk premia) risks in EMs that explain the volatility in Nubank’s and StoneCo’s stock prices. These risks are instructive for understanding the challenges facing the business model of neobanks in EMs.

Strategic Marketing Approaches for Startup Expansion: Vision, Mission, and Goals

In today's competitive business landscape, startups face the challenge of establishing themselves and expanding their market presence amidst evolving consumer preferences and technological advancements. To navigate this terrain successfully, startups must develop robust marketing strategies that align with their vision, mission, and goals. A startup's vision serves as its guiding beacon, outlining its aspirations for the future. It encapsulates the company's ultimate purpose and desired impact on the market. When crafting marketing strategies, startups must ensure alignment with this vision, leveraging it to communicate a compelling narrative that resonates with target audiences. Similarly, a startup's mission defines its core values and the means through which it aims to achieve its vision. Marketing strategies should reflect these values, fostering authentic connections with customers and stakeholders. By communicating a clear and consistent message aligned with its mission, a startup can differentiate itself in the market and build trust among its audience. Goals provide the roadmap for a startup's journey towards success. Whether aiming for market expansion, revenue growth, or customer acquisition, marketing strategies must be designed to support these objectives effectively. Startups should employ data-driven approaches to assess market opportunities, identify target segments, and tailor marketing initiatives to maximize impact. In essence, effective marketing strategies for startup expansion require a holistic approach that integrates the company's vision, mission, and goals into every facet of its promotional efforts. By staying true to its foundational principles while remaining agile in response to market dynamics, a startup can position itself for sustainable growth and long-term success. Key Words: Startup, marketing strategies, expansion, vision, mission, goals, market presence, consumer preferences, technological advancements,

Do Directors’ Remuneration and Remuneration Committees of the Board affect Bank’s Performance: Application of GMM model?

Abstract This paper assessed the effect of directors' remuneration and the remuneration committee on a bank's performance. The study used 200 observations from 20 licensed banks in Ghana from 2012 to 2023. The study employed dynamic System Generalized Method of Moments as the main analytical estimator using Stata 16.0 software. The study revealed that directors' remuneration, audit committee independence, and the remuneration committee are positively and significantly related to the bank's performance. Furthermore, the study revealed that banks with a remuneration committee as well as an independent audit committee tend to enhance the bank's performance because remuneration and audit committees tend to align directors' remuneration with the bank's performance. The findings highlight the importance of setting up a remuneration committee as well as strengthening its functions. The first recommendation for this study is for the board to strengthen the remuneration committee since it affects the bank's performance positively. Lastly, the study recommends that the remuneration committee should be strengthened to align directors' remuneration with the bank's performance metrics, such as revenue growth, profitability of the bank, and shareholders' returns. Keywords: Audit committee independence; Bank’s performance; Directors’ remuneration; Ghana; Optimal contracting contract.

Rural tourism: Nurturing prosperity and community resilience

Rural tourism entails visiting rural regions for leisure, recreation and cultural immersion. It is valued for its potential to generate economic opportunities, preserve cultural heritage and conserve natural resources while empowering local communities. It offers potential for economic development by creating employment opportunities and generating income for rural residents through various tourism-related activities. This paper investigates the benefits to local communities of rural tourism development through a comprehensive review and insights from community stakeholders. The research was based on existing literature and employed a survey using a structured questionnaire and rigorous data analysis techniques. The survey included three well-known villages for their tourism experiences in the Korça region located in the southeastern part of Albania. The primary research targeted 200 members of the local communities aiming to analyze their perceptions of the benefits that rural tourism brings to their communities both in terms of income generation and socio-economic benefits. The study revealed that rural tourism has positively contributed to the economic development of these communities through revenue growth, the generation of employment and self-employment opportunities as well as the improvement of infrastructure through the lens of community perspectives. Rural tourism holds considerable promise for advancing sustainable development by offering economic, social and environmental benefits to rural regions. However, careful planning, community involvement and adherence to sustainable tourism principles are required.

Data-driven decision-support system for expansions in retail stores: Dexter

ABSTRACT The expansion of retail stores is an important decision in the retail industry, involving significant investments and long-term consequences for customer service, satisfaction, and revenue growth. The decision-making process for store expansion is complex, and requires detailed information and a multilevel view of store operations over time. Yet, the literature shows a scarcity of data-driven decision-support systems for retail store expansions. To address this gap, we propose a data-driven decision support system called Dexter, which provides store expansion recommendations using a novel ensemble algorithm. Dexter was developed in collaboration with an industry partner, who provided access to various critical datasets. The results of the evaluation with domain experts show that Dexter has the potential to assist store owners in making informed decisions for retail store expansions. This work paves the way for further research and acts as an entry point to attract more works in this under-researched area.

Identify Attributes of Service Quality Factors and Other Factors Affecting Calla SPA Customer Satisfaction

This research aimed to identify the factors influencing customer satisfaction at Calla SPA, focusing on service quality attributes such as Tangibility, Reliability, Ability to meet expectations, and Assurance, as well as other factors like price and location of Calla SPA offices. Both qualitative and quantitative methods were utilized, including document research, in-depth interviews, group discussions, and surveys. Results indicated that service quality (β3) had the strongest impact on satisfaction, followed by price (β1) and location of the SPA (β2). SPSS testing confirmed the reliability of the scale (α = 0.70 to 0.95), with total correlation coefficients above 0.3, KMO values between 0.5 and 1, and significance levels (Sig) below 0.05. These findings provide a foundation for Calla SPA's management to enhance customer satisfaction through service quality improvements, thereby aiding in market share retention, market expansion, and revenue growth. Furthermore, the research contributes to the theoretical understanding of service quality and customer satisfaction within the SPA industry

Analysis of Market Entry Strategies for Foreign Multinational Corporations in India A Market Research Study

This research paper explores market entry strategies for foreign multinational corporations (MNCs) in India, aiming to provide actionable insights for navigating the complexities of this dynamic market landscape. Through a qualitative research design, semi-structured interviews were conducted with key industry experts and executives of foreign MNCs operating in India. The findings reveal that joint ventures are the preferred entry mode, with factors such as access to local knowledge, regulatory requirements, and cultural compatibility influencing entry mode selection. Performance evaluation metrics primarily focus on revenue growth, market share, and customer satisfaction, while adaptation strategies include product localization, marketing customization, and supply chain optimization. Challenges faced by foreign MNCs in market entry include regulatory compliance, cultural differences, and competition. Overall, this study contributes to filling the identified literature gap by providing a nuanced understanding of market entry strategies and their effectiveness in the Indian context. The implications of these findings extend to both academia and practice, offering opportunities for further research and guiding strategic decision-making for MNCs seeking to establish and expand their presence in India.

Competitive balance in professional sports: A multi-dimensional perspective

What constitutes competitive balance is a contentious issue in professional sports. We contribute to this debate with a simple framework encapsulating multiple viewpoints of competitive balance and highlight how this framework suggests that there could be an inherent tradeoff along two common dimensions. Using the framework as a lens for comparing North American professional sports leagues, we then demonstrate how important changes over time in the collective bargaining process have influenced the competitive balance of these leagues in different ways. Finally, we discuss and provide descriptive evidence for the influence of differences in non-gate revenue growth across leagues and how it might have affected their competitive balance in recent years. (JEL L83, D63, C23).

Harnessing artificial intelligence to develop strategic marketing goals

In today's rapidly evolving business landscape, harnessing artificial intelligence (AI) has become imperative for organizations striving to remain competitive. This concept paper explores the integration of AI in developing strategic marketing goals, aiming to provide a comprehensive framework for leveraging AI's capabilities effectively. The paper begins by outlining the current state of AI in marketing, highlighting its transformative potential across various facets such as customer segmentation, personalized targeting, predictive analytics, and automation. It underscores the necessity for businesses to embrace AI-driven approaches to stay ahead in an increasingly data-driven marketplace. Moreover, the concept paper delves into the strategic implications of AI adoption in marketing. It emphasizes the need for alignment between AI initiatives and overarching business objectives, emphasizing the role of AI in enhancing customer experience, optimizing resource allocation, and driving revenue growth. Furthermore, the paper addresses key considerations and challenges associated with integrating AI into marketing strategies, including data privacy concerns, ethical implications, and organizational readiness. It advocates for a structured approach to AI implementation, encompassing robust data governance, talent acquisition, and continuous monitoring to mitigate risks effectively. Drawing upon industry best practices and case studies, the concept paper elucidates practical methodologies for leveraging AI in setting strategic marketing goals. It emphasizes the importance of data-driven decision-making, iterative experimentation, and agile adaptation to capitalize on AI's potential for driving innovation and competitive advantage. In conclusion, the concept paper advocates for a proactive stance towards embracing AI in marketing strategy formulation. By strategically harnessing AI's capabilities, organizations can not only enhance their marketing effectiveness but also cultivate long-term sustainable growth in today's dynamic business environment. Keywords: AI, Strategic, Marketing, Environment, Goals, Business.

Transformation of integrated formations in industry

Modern realities are such that the priority in the activities of any company is its efficiency, and it does not matter in what area or sector of the economy it operates. Making a profit is the main goal for managers, and even more so for company owners, and any opportunity to minimize costs and thereby increase their assets will be used by business. One such way for large corporations to reduce costs is to move from the status of a holding structure to that of a group of companies. If necessary, companies that have chosen such an organizational and legal form can quickly respond to changes in the external environment and focus the necessary company resources in one direction to promptly decide on a strategic task and its immediate implementation. Such associations manifest themselves most clearly in extreme conditions, and where other companies go into the red, they show positive dynamics in revenue growth. The article presents the results of the author’s research on the above topic. For analysis, some aspects of the organizational activities of holding structures and groups of companies were selected, such as legal issues, the status of companies, the possibility of bankruptcy and mutual liability of organizations within the company, consolidation and redistribution of profits, finances, resources, means of production and logistics; image and business reputation; control system; risks; relationships with partners and employees; pricing policy and taxation. Groups of companies operating in agro-industrial complexes and agriculture have proven to be more mobile and adapt faster in unstable economic conditions due to the decentralization of legally free company members.

Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction

Although the accurate potential for growth prediction is very important for Government grants and contributions programs to better support Small and Medium-sized Enterprises (SMEs), it is a challenging task due to the data heterogeneity (both structured data and free text data bilingual in English and French), the class imbalance issue, and the difficulties in efficient feature learning. To address these challenges, this paper presents a novel BERT-TCN model for portfolio predictions in government funding programs, with the following key contributions. First, we describe the application of a novel architecture to a prediction task involving sequential, structured, partially quantitative input data and free text input data. Specifically, our novel model predicts the growth of firms receiving government funding for innovation. Our model also deals with class imbalance in the data and the difficulties in efficient feature learning. Our model integrates a Transformer model, i.e., BERT, for text modeling with a Temporal Convolutional Network (TCN) for sequential prediction. Second, we also developed various performance evaluation criteria in Section 4.3, allowing comprehensive assessments of the proposed approach from both the machine learning perspective and funding program-specific perspective. Third, the importance of features (both text and numerical features) is quantified and evaluated, allowing insights into how different features contribute to the prediction and explainability of the proposed model. The proposed approach is trained and tested on a large dataset from a rich database, demonstrating that the proposed approach can greatly help individual human experts improve their results.

Framing retail crime through an environmental criminological lens: insights from Australia and New Zealand

This article aims to provide insights regarding crime problems affecting the Australian and New Zealand (ANZ) retail sector, focusing primarily on the size and range of criminal behaviours. The research incorporated an online survey of retailers and police statistics. The study finds that the cost of retail crime increased by 28% over the last 4 years, against 25% growth in revenue. It also reveals that shoplifting remains the most significant and costly economic problem facing retailers, followed by employee theft. Additionally, fraud, notably in online channels, will remain a concern for the foreseeable future. We examine potential explanations and interpretations for retail crime through an environmental criminological lens. Increased research and involvement of researchers hold tremendous potential for reducing retail crime and preventing its growth in the future.