Profitable Business Research Articles

Una primera aproximación a la relación entre margen e inversión a nivel de empresa en la economía española

Rationale Business investment and profit margins both declined in 2020, but have been recovering since. Statistical analysis of firm-level data can be used to estimate the relationship between these two variables in the Spanish economy in recent years. Takeaways •After a decline in 2020, profit margins in Spain have been rising. This increase has been concentrated among firms that had lower profit margins in 2019. Conversely, firms that had higher margins before the pandemic have, overall, seen profit margins follow a downward trajectory. •The relationship between profit margins and business investment, calculated drawing on granular firm-level data, takes the form of an inverted-U curve: it is positive for profit margins below a certain threshold, but turns negative above that threshold. •In the Spanish economy, most firms stand in the section of the curve where the profit margin-investment relationship is positive. Firms in the section where the relationship is negative tend to be smaller, younger and more productive.

An Empirical Study on Fake News Menace and Misinformation with Special Reference to India

Fake news are the news, cooked up stories or hoaxes that are created to deliberately misinform or deceive the consumers/readers. Usually, these stories are created to either influence people’s views, push a political agenda or cause confusion and it's a profitable business for online publishers in most cases. Fake news has been in existence from the beginning of the printing press but in the age of the internet and social media, it has found a tremendous application. Fighting against fake news menace is of importance concerning the platforms like Facebook, Google, the news media, the government and an informed citizenry. The objective of the study is to understand the Motivation behind the creation of fake news and it’s financial gain and to study the concept and nature of the creation of fake news. The independent variables are Age, gender, educational qualification and occupation. The dependent variables are Whether the motivation to create fake news include financial gain and agreeability towards that fake news is any information that is deliberately meant to be wholly or largely false or misleading. The Sample Size collected is 204 responses. The results observed from the analysis is that The respondents working in public sectors between the age of 37-60 years have agreed that the motivation behind the creation of fake news includes financial gain than the respondents between the age of 37-60 years who own businesses. Thus, the paper suggests that Quality in journalism is the solution to curb fake news and money's the motivation behind the creation of fake news, the journalists are also ought to have the responsibility of not creating fake news and media hoaxes just for the views instead must focus genuine news and earn people's belief. The author in this paper concludes that fake news menace is a global issue and has to be controlled and monitored by the government

Minimasi Biaya Distribusi pada UMKM Keset Samian dengan Metode VAM dan Modi

Transportation methods are methods used to optimally manage the distribution of goods from suppliers to destinations. The method used is Vogel's Approximate Method (VAM) and Modified Distribution (MODI). This research aims to minimize distribution costs for Keset Samian MSMEs. Samian Doormat UMKM is a small and medium business engaged in the production of doormat crafts. The Samian Doors Umkm experiences problems in managing distribution costs efficiently which has a direct impact on business profits. This research uses primary and secondary data collection related to costs. distribution, demand, and production capacity. The data was analyzed using VAM to determine the initial optimal cost solution in allocating the distribution of doormat products. The results of the VAM method were further optimized using the MODI method to achieve minimal costs in the distribution of doormat products. The research results show that the VAM and MODI methods are able to reduce distribution costs significantly compared to the traditional methods currently used by the Samian Doormat MSMEs. Where from the initial cost of Rp. 4,250,000 to Rp. 2,843,500 which experienced a decrease in transportation costs of Rp. 1,406,500 or 33.09%. So the results of calculating transportation costs for UMKM Keset Samian are optimal and increase business profits.

Analisis Laba Usaha UMKM Warung Seblak Teh Idah di Desa Pancakarya Kecamatan Tempuran

This research focuses on the UMKM of the Seblak Teh Idah stall in Pancakarya Village, Tempuran District, Karawang Regency. This research is to analyze the business profits of Seblak Teh Idah UMKM which have survived for 10 years from starting in 2013 until 2022. The method used in the research is descriptive quantitative, research activities at Seblak Teh Idah UMKM for 3 months, starting from 1 september 2023 to January 31 2024. The researcher's aim is to analyze operating profits at the Seblak Teh Idah UMKM stall and to analyze the development of profit results. business at the Seblak Teh Idah stall. Because there is one of the problems in the Idah seblak tea business, how to manage profits from sales revenue well, because the seblak business still survives today and is growing. Research result show that Seblak Teh Idah UMKM have experienced developments in their business such as more comfortable facilities, additional cooking utensils, eating utensils and additions to the menu. The profits from the seblak Teh Idah stall business have brought changes to the family's business and economy and have started to show very good development.

Zooming Out: Circular Economy Development in the European Union and its Implications on the Economy and Society

The concept of the circular economy has emerged as a response to the challenges posed by resource constraints, waste accumulation, and pollution, threatening both social welfare and business profitability. The circular economy aims for sustainable development, encompassing environmental quality, economic prosperity, and social equity across current and future generations. Despite its recognition as a pivotal solution, there needs to be more comprehensive understanding regarding its development and its economic and social impacts. Therefore, the objective of this paper is to investigate the progress of circular economy sectors in the European Union to get an overview of the circular economy advancements and discuss geographical economic and social effects. The focus is on the indicators of gross value added, private investments, and full-time employment within recycling, repair, and reuse sectors because these sectors provide good proxies for the circular economy activities in the European economy. Results suggest a linear growth of circular economy sectors across the European Union, albeit with variations among member states. The paper discusses the implications of circular economy transition on the economy and society, particularly on the labour market, skill demands, and technology integration, emphasising the need for a critical academic discourse. It questions assumptions about job creation and local employment, especially considering technological advancements that may reduce manual labour in recycling plants. Future research is invited to focus on these macro-level implications and critically reflect on the societal implications of a circular economy transition to shape a more fair and socially inclusive economy.

Polytope Fraud Theory

Polytope Fraud Theory (PFT) extends the existing triangle and diamond theories of accounting fraud with ten abnormal financial practice alarms that a fraudulent firm might trigger. These warning signals are identified through evaluation of the shorting behavior of sophisticated activist short sellers, which are used to train several supervised machine learning methods in detecting financial statement fraud using published accounting data. Our contributions include a systematic manual collection and labeling of companies that are shorted by professional activist short sellers. We also combine well-known asset pricing factors with accounting red flags in financial features selections. Using 80 % of the data for training and the remaining 20 % for out-of-sample test and performance assessment, we find that the best method is XGBoost, with a Recall of 72 % and F1-score of 82 %. Other methods have relatively lower performance, demonstrating the robustness of our results. This shows that the sophisticated activist short sellers, from whom the algorithms are learning, have excellent accounting insights, tremendous forensic analytical knowledge, and sharp business acumen. Our feature importance analysis indicates that potential short-selling targets share many similar financial characteristics, such as bankruptcy or financial distress risk, clustering in some industries, inconsistency of profitability, high accrual, and unreasonable business operations. Our results imply the possible automation of advanced financial statement analysis, which can both improve auditing processes and effectively enhance investment performance. Finally, we propose the Unified Investor Protection Framework, summarizing and categorizing investor-protection related theories from the macro-level to the micro-level.

Analysis of The Impact of Factors Affecting the Recovery of Small and Medium Enterprises in Vietnam with the Goal of Sustainable Development in the Context of Economic Crisis

Objective: The article analyzes the impact of various factors on the profitability of small and medium-sized enterprises (SMEs) in Vietnam amidst an economic crisis, using a dataset of Vietnamese SMEs from 2016 to 2018 across different provinces nationwide. Method: Employing panel data regression techniques in two forms: Fixed Effects (FE) and Random Effects (RE) models to estimate the impact of factors on enterprise profitability. Results and Discussion: Through estimating the two models on the article's dataset, the RE model shows that the coefficients of the explanatory variables in the model are statistically significant, whereas the FE model's coefficients are not. The estimation results from the RE model indicate that all variables including equity value, number of foreign workers, number of sectors the enterprise operates in the dummy variable for state support, average labour cost, and the dummy variable for the main operating sector of the enterprise affect the profitability of the enterprise. The RE model results suggest that the most significant factors impacting enterprise profitability are the business sector and state support. We need to have policies that create favorable conditions for businesses to achieve sustainable development goals (SDG). Conclusions: Results from the estimated model show that the most important factors affecting business profits are the business sector and state support. The state and businesses need to take measures to innovate activities to help businesses develop sustainably during the economic crisis.

Enhancing the efficiency of e-commerce through digital technologies: Economic and legal aspects

The research is aimed at analyzing the economic and legal aspects of the functioning of digital technologies in the field of electronic commerce, as well as studying the impact of these technologies on the efficiency of processes and their interaction with various aspects of legislation regulating the field of electronic commerce. In the course of the research, literary sources and legal acts were analyzed with the aim of generalizing approaches to understanding electronic commerce and establishing the main principles of its regulation. The analysis of statistical data made it possible to identify trends in the development of the e-commerce market and the influence of negative external factors. In turn, the application of methods of generalization and systematization made it possible to determine the key aspects of the implementation of digital technologies to increase the efficiency of electronic commerce and identify regulatory gaps in this area. The results of the research confirm that e-commerce in Ukraine plays an important role in the digital economy, ensuring efficiency and profitability for businesses. An analysis of the e-commerce market showed the growth of the use of the Internet for shopping, even in difficult socio-political conditions. Therefore, despite the challenges facing the country, e-commerce remains a sustainable and powerful tool for business development and consumer activity. However, it is necessary to improve the legal framework in order to meet the requirements of modernity and to ensure the protection of consumers’ and market participants’ rights from technical and other risks related to electronic commerce.

Peran Kewirausahaan Berbasis Digital Dalam Mengurangi Tingkat Pengangguran

The creation of entrepreneurs is an alternative solution to various problems in society such as poverty and social inequality, increasing unemployment of productive age and dwindling energy supply reserves, all of which require creative and innovative actions. Entrepreneurs are people who are able to turn an opportunity into a profitable business, which is processed through creativity, innovation and uniqueness in making a product and dare to take all possible risks that accompany it and do not make it easy to give up if they fail in building the business. In this case, the author examines that entrepreneurship participates in national development, digital-based entrepreneurship utilizes increasingly sophisticated technology, digital-based entrepreneurship as a solution to reducing unemployment rates, the large number of unemployed in Indonesia, entrepreneurship is something that must be instilled by young people and the Indonesian people. Keywords: Entrepreneurship, Digital, Unemployment.

Intelligent waste management: Maximize profits and minimize waste using IOT and AI

The article presents an innovative waste Container Management System for restaurants which incorporates the IoT and AI to increase effectiveness and decrease waste. Through smart dust bins that has embedded sensors and machine learning, the system can classify and measure food waste effectively in real time. This innovation affords the restaurants precise data on the waste cycles as well as the stock control to avoid over-ordering. The success of the proposed system can be also attested through high classification accuracy of food waste and the usage of models such as MLP which reached up to 96.44%. Through these technologies, food wastage, and operational costs are reduced while at the same time ensuring sustainable practices that have a reduced impact on the environment are employed. In general, the system supports better decision-making and increased profitability in the restaurant business concerning waste management and supply chain management. This optimised approach does away with the wastage which would have reduced revenues, consequently improving the business’ financial performance.

Economic Program Policy BUMNIn Increasing Economic Growth In Indonesia

Economic program policies towards state-owned enterprises (BUMN) in economic growth in Indonesia have become commonplace in various countries. The main reason for implementing economic program policies is to improve and streamline the performance of BUMN so that it can achieve its founding targets, namely the provision of public services for the community and profits for the state. However, this policy is often rejected due to concerns that the role of the state is minimal and the role of the private sector is too dominant, which refers to a free market system so that the interests of society are not guaranteed. The method used in this research is qualitative research with a descriptive-analysis method using relevant secondary data and normative/literature assessment using a statutory approach and a conceptual approach. The aim of this research is to provide a comprehensive understanding of economic program policies by BUMN in Indonesia, both from a historical perspective and applicable positive law. The research object is BUMN (State-Owned Enterprises). This research concludes that the majority of listed BUMNs are able to improve business performance and profit generation. Economic programs are not the only solution for state company management, but they must always be able to reform and innovate in terms of future BUMN business strategies.

Public preferences for edible invasive alien marine species - The Atlantic blue crab in southern Italy

Since 2014, the provision of the aquatic ecosystem services has been gradually affected due to the biological invasion of Callinectes sapidus (Rathbun, 1896, Crustacea, Decapoda, Portunidae), commonly known as Atlantic blue crab, across several lagoon-like locations in Italy. In addition, this serious aquatic invasive species, native of North American coasts, has already inflicted economic damage of about EUR 100 million to the Italian fishing and farming communities over the past year. To counter their severe and rapid spread, the Italian Government has encouraged the fishing communities to catch as many as possible and commercially exploit them for human consumption in an attempt to manage their expansion. Since there is an ongoing promotion for the consumption of blue crab by forging novel food businesses in Italy, this paper aims to predict the public preferences and their willingness to pay (WTP) towards this biological invader. For this purpose, a discrete choice experiment approach is used, by means of a multinomial logit model (MNL) and latent class model (LCM). The social field survey involves a representative sample of 440 valid respondents in Apulia Region, southern Italy. The descriptive statistics results reveal that 67.50% of the local citizens interviewed know about the blue crab invasion, while 29.09% of them have already consumed this seafood species. In addition, the MNL results show that the most appreciated attributes of the blue crabs by respondents are freshness and large size. Further, the LCM findings reveal two representative classes of Apulian consumers; the first group of citizens (70.9% of total respondents) expresses positive appreciation for consuming blue crabs, while the second group (29.1% of total respondents) is not willing to pay a premium price regarding this potential commercial activity. Furthermore, the econometric results show that the average value that Apulian’s (i.e. those belonging to Class/Group I of respondents) WTP for blue crabs’ consumption is about EUR 18 per kilogram. In this regard, this research has public and private implications and may reasonably promote the commercial exploitation of blue crabs, enhancing the reduction of its population density through human consumption as a promised management control strategy and forging a novel profitable business mainly for local small-scale artisanal fisheries.

Policy innovation and the sustainable quality management 4.0 framework for integrating sustainable services

Over the past twenty years, service organizations have adopted total quality management to enhance their service quality, significantly impacting business performance, customer satisfaction, and profitability. This study delves into policy development of sustainable quality management theory, benefits, and various service components, while reviewing its implementation in services industries and policy innovation. The concept of Sustainable Quality Management 4.0 (SQM 4.0) integrates sustainable management, traditional quality management, and Quality 4.0 principles to optimize resources, reduce environmental impacts, and enhance decision-making through Industry 4.0, IoT, AI, and big data analytics. The findings offer valuable framework and policy insights for managers and practitioners on quality management and service systems, providing an implementation framework for Sustainable Quality Management in the service sector. The paper outlines comprehensive elements and strategies for implementation as a SQM framework for attaining sustainable quality management in the services industry.

Public-private partnerships in the agricultural sector

The levels of management in the field of agriculture were systematized, a comparative ana­lysis of the international experience of management in the agrarian sphere was carried out (on the example of Germany and Italy). The current trends in digitalization of agricultural management in the world, as well as tasks and challenges of digitalization in Ukraine were described. The hypothesis of the research is that the implementation of digital solutions in the Ukrainian agricultural sector will increase the efficiency of management, especially in the condi­tions of military challenges. Methodo­logically, the research is based on the analysis of policies, strategic plans, scientific works and other sources related to management in the field of agriculture, taking into account the impact of digital techno­logies. The centralized manage­ment model in the development of the agricul­tural sector still dominates in European coun­tries. However, the EU current policy in the field of regional development provides for the transfer of as many management functions as possible to the region­nal level. This approach is also characteristic of the national model of agricultural development policy. The most important and effective tool for the modernization of any of the known management systems in the modern world is their digitali­zation. Digitization of management in the agricu­ltural industry at all levels, from the state to small agribusiness entities, is no exception. The further digital transformation of manage­ment in national agriculture represents a higher level of digital integration, which affects the most complex organi­zational changes in the structures of state admi­nistration and agribusi­ness. The results of the implementation of these tasks can significantly affect the growth of profits in the agricultural business and the competitiveness of products, which will allow the agricultural industry to reach modern global technological boundaries

The effect of investments in recreational trail development on trail-related business operations and profitability: a case study of Northern Ireland

ABSTRACT In nature-based tourism (NBT), recreational trails may play an important role for sustainable recreation and local communities’ development. Therefore, development of the trail-related tourism sector is essential, in particular through successful trail-related business operations. However, trail-related businesses as one of the key stakeholders have been neglected in decision-making processes. Therefore, this research note studied trail-related business perceptions of environmental and recreational amenities and estimated projected effects of investments in trail-related recreation on business operations and profitability. Businesses see natural and recreational landscapes as being the most important. Branding and marketing was viewed as the highest priority attribute of trail investments. The feedback from business was shown to be essential for local economic development since it ensures maximized efficiency of investments. Implications were suggested for enhanced sustainable trail destination development and management.

Singapore: Insights from Hong Kong Case Law on Locating the Source of Business Profits

This article reviews landmark cases from Hong Kong concerned with locating the source of business profits. It extracts guiding principles from these cases and evaluates their relevance in interpreting statutory provisions that define the scope of income taxation in Singapore, and for resolving issues relating to whether business profits are sourced in Singapore.

Ensembles of decision trees and gradient-based learning for employee turnover rate prediction

Employee turnover has a negative impact on business profitability. To tackle this issue, we can utilize computational advancements to forecast attrition and minimize expenses. We employed an HR Analytics dataset to investigate the feasibility of using these predictive models in decision support systems. We developed an ensemble of gradient-based decision trees that accurately predicted employee turnover and performed better than other sophisticated techniques. This approach demonstrates exceptional performance in handling structured and imbalanced data, effectively capturing intricate patterns. Gradient-based decision trees provide scalable solutions that effectively balance predictive accuracy and computational efficiency, making them well-suited for strategic business analysis. The importance of our findings lies in their ability to offer dependable insights for making well-informed decisions in business settings.

Leveraging the RFM Model for Customer Segmentation in a Software-as-a-Service (SaaS) Business Using Python

Customer segmentation plays a pivotal role in driving marketing strategies and improving customer retention across various industries. This study explores the application of the RFM (Recency, Frequency, Monetary) model for customer segmentation in a Software-as-a-Service (SaaS) business, using Python for efficient data processing and analysis. By analyzing one year of customer purchase data, we segmented customers into key groups such as "Champions," "Loyal Customers," and "At Risk." The results highlight that targeted discount strategies significantly affect profitability, especially for high-value customer segments. Furthermore, the research builds upon existing methodologies, demonstrating how Python-based implementations streamline RFM analysis and allow for scalable solutions in business contexts, as illustrated in prior works by Hermawan et al. (2024). This study offers actionable recommendations, including tailored discounting, loyalty programs, and personalized engagement strategies, to enhance customer retention and business profitability. The findings underscore the importance of data-driven marketing approaches for customer segmentation and engagement, reinforcing the relevance of the RFM model in modern business environments.

An Examination of the Existing Literature Concerning Fraudulent Online Reviews: Obstacles and Potential Remedies

In the contemporary digital era, online consumer evaluations exert significant sway over purchase choices, shaping consumer viewpoints and affecting business profitability. Nonetheless, the rise of counterfeit reviews has emerged as a notable apprehension, prompting scholars to investigate various methodologies for identification. This extensive review paper acts as a reservoir of information, consolidating an extensive array of literature dedicated to detecting fake reviews. It meticulously scrutinizes diverse datasets, illuminating the numerous hurdles posed by these misleading entries. Despite progress made in curtailing the impact of counterfeit reviews, this review exposes persisting gaps in our comprehension. Consequently, it calls for steadfast exploration and ingenuity in the realm of fake review detection. As the digital landscape continues to evolve, so too must our approaches to safeguard the authenticity of online consumer input.

Collectivism-Based Travel Culture as the Antecedents of Travel FOMO And Intention to Travel Responsibly

As collectivists, Indonesians tend to travel with friends and family. The destination is usually inspired by social media content which then will increase fear-of-missing-out anxiety (FOMO) for traveling because it generates travel intention. A previous study claimed that collectivist culture has a strong correlation with FOMO behavior. This research analyzes the role of collectivism-based travel culture as the antecedent of travel FOMO on Indonesian domestic tourists. High travel intention may lead to high profits for tourism businesses, but the sustainability of the natural habitat of the natural tourism destinations is no less important. Tourists must also increase their intention to travel responsibly when visiting natural destinations to protect nature. This study employed an empirical quantitative research method with 340 sample data of Indonesian domestic tourists. The analysis of statistical data analysis is provided from PLS-SEM. This research is limited to collectivist behavioral observation of Indonesian domestic tourists to natural tourism destinations. Future studies can be conducted on different cultural dimensions and tourism market segmentation. The analysis showed that the collectivism-based travel culture of Indonesian tourists had positive influences on both travel FOMO and intention to travel responsibly individually, but will bring damage if combined.