Profitability Value Research Articles

The Influence of Liquidity and Profitability on Firm Value with Capital Structure as The Intervening (Study on Mining Sector Listed on IDX 2016-2020)

This study aims to determine The Influence of Liquidity and Profitability on Firm Value with Capital Structure as The Intervening that study on the Mining Sector listed on IDX 2016-2020. The population used in this study were all mining sector companies listed on the Indonesia Stock Exchange (IDX) from 2016 to 2020. The population in this study were 52 mining sector companies conducted at the Indonesia Stock Exchange (IDX). The Indonesian Stock Exchange was determined as the research location by considering that the Indonesian Stock Exchange is one of the centres for selling shares of companies that go public in Indonesia. Secondary data which contains dependent and independent variables which were carried out in mining sub-sector manufacturing companies listed on the IDX for the period 2016 – 2020. In this study, the authors used a quantitative method with a descriptive and verification research approach. The technique of taking research samples using purposive sampling technique (8 companies). The results show that liquidity has a significant negative effect on firm value. profitabilityhas a significant negative effect on firm value, liquidity has a significant negative effect on capital structure, profitability has a significant negative effect on capital structure, capital structure has a significant positive effect on firm value, capital structure is unable to mediate the relationship between liquidity and firm value, capital structure is unable to mediate the relationship between profitability and firm value.

Product Layout Analysis Based on Consumer Purchasing Patterns Using Apriori Algorithm

In every self-service store, it is certain to have a sales transaction data, where the data will continue to grow every day. But in self-service stores the data is only a record of sales at the store. Whereas transaction data can be used as information on how consumer purchasing patterns when shopping at the store, but not all supermarkets know this. So this research aims to find information on these purchasing patterns, where to do this research using the apriori algorithm which is part of the association technique which is also part of data mining, where in its application it will calculate the support value, confindence value and will be tested using the lift ratio. And after the calculation is carried out, optimization will be carried out using the high utility itemset mining variable which will calculate the highest profit value on the product, so that based on the calculation, the final result is obtained with a support value of 85%, a confidence value of 86%, a lift ratio test of 1.01 and the high utility gets the highest result of Rp. 567,000.

Big Data in online education

From classifying learners to predicting learner behaviour, the application of Big Data in online education has been vast. Besides the potential benefits of Big Data in education, it is necessary to critically engage with some ethical and social challenges that Big Data presents to the field of online learning. The increasing use of big data by large institutional actors and corporations raises questions not only about data privacy and ownership, but whether this data is used to genuinely improve learner and teacher online learning experiences, or primarily for commercial profits and institutional benefits. When addressing ethical concerns regarding the use of Big Data in education, critiques often follow a reasoning that is in line with corporate interests and neoliberal logic of marketization of education. Given the importance of the pursuit for democratic online education, the need for critical perspectives in the field is ever-more essential. This research tries to critically address the role and impact of Big Data on labour relations and economic fairness in online education by examining both corporate and institutional data practices in online learning. The study puts forward a provisional theory of the use of Big Data in two large online learning platforms (Coursera and Blackboard) using critical grounded theory. The core category of Exploitation of the learning community, the three constituent concepts; the Vendor-Institutional Complex, Use of learner generated value for profit, and the Behavioral monitoring and engineering; and the sustaining category, the Magic Trick, were the foundational blocks for developing an emancipatory theory that addressed ethical issues of economic fairness regarding the use of big data in online education.

DOES FIRM VALUE MATTER? EMPIRICAL EVIDANCE FROM INDONESIA

The COVID-19 pandemic has hurt the entire government and corporate financial system, making it difficult for businesses to distribute dividends. During the COVID-19 epidemic, this study examines the possible impact of financial statements on firm value by considering dividend policy as a moderating factor. This research employs a quantitative methodology, utilizing purposive sampling techniques and secondary data. The sample data includes all public companies listed on the Indonesia Stock Exchange between 2020 and 2022. There are 127 sample data. We conducted the test using SmartPLS software. Researchers looked at three financial parameters: profitability, leverage, and liquidity. The research results show that leverage and profitability, not liquidity, can influence firm value. The impact of dividend policy on the relationship between profitability and company value is evident, while it does not affect leverage or liquidity. To identify this problem accurately, the researchers used signal theory to get accurate results in identifying this problem. We hope the research results will alert investors to exercise caution when purchasing shares, particularly in manufacturing companies.

How to Equity Ratio, Profitability and Firm Value Shape Stock Prices: An In-Depth Analysis

This research aims to determine the effect of the Debt-to-Equity Ratio, Earning Per Share, and Price Earning Ratio on the share price. This research uses a quantitative approach with secondary data obtained from financial reports for the period 2015 to 2019. The research results show that simultaneously, the variables DER, EPS, and PER have a significant influence on stock prices. Partially, the DER and EPS variables have a weak influence on stock prices, while PER has a stronger influence on share prices. This finding has the implication that company management must consider these financial factors in their share price increase strategy. It is hoped that this research can contribute to financial literature and become a reference for further research. The contribution of this research to the finance literature is significant in several ways. First, this research highlights the influence of the Debt-to-Equity Ratio (DER), Earning Per Share (EPS), and Price Earning Ratio (PER) on the share price of PT Agung Podomoro Land Tbk from 2015 to 2019. Managerial Implications The study examining the effect of Debt-to-Equity Ratio, Earning Per Share, and Price Earning Ratio on stock prices provides critical insights for corporate financial managers and investors.

Long-Term Mine Planning: A Survey of Classical, Hybrid and Artificial Intelligence-Based Methods

The aim of long-term mine planning (LTMP) is two-fold: to maximize the net present value of profits (NPV) and determine how ores are sequentially processed over the lifetime. This scheduling task is computationally complex as it is rife with variables, constraints, periods, uncertainties, and unique operations. In this paper, we present trends in the literature in the recent decade. One trend is the shift from deterministic toward stochastic problems as they reflect real-world complexities. A complexity of growing concern is also in sustainable mine planning. Another trend is the shift from traditional operational research solutions — relying on exact or (meta) heuristic methods — toward hybrid methods. They are compared through the scope of the problem formulation and discussed via solution quality, efficiency, and gaps. We finally conclude with opportunities to incorporate artificial intelligence (AI)-based methods due to paucity, multiple operational uncertainties simultaneously, sustainability indicator quantification, and benchmark instances.

Intellectual capital and firm performance of Jordanian financial institutions

This study aims to explore the financial implications of intellectual capital in the Jordanian financial sector during the period 2009–2018. It uses Pulic’s (2004) value-added intellectual capital model, particularly capital employed efficiency, structural capital efficiency, and human capital efficiency, and tests its potential effect on firm financial performance measures, including return on assets, return on equity, asset utilization ratio, and Tobin’s Q. The study’s findings demonstrate that value-added intellectual capital positively influences the financial performance of Jordanian financial companies. Value-added intellectual capital is not found to have a significant impact on productivity, but it is strongly and positively related to firm profitability and market value. As for the main components of value-added intellectual capital, human capital efficiency has a significantly positive impact on a company’s performance, but regarding structural capital efficiency, the outcomes vary depending on the measure of firm performance. Notably, when firms are categorized into sub-industries (banks, insurance companies, and financial service companies), it is found that the profitability of insurance companies is more affected by intellectual capital than that of banks or financial services. The results also show that investors place great importance on the efficiency of intellectual capital, particularly within the banking industry. Furthermore, implementing Shariah compliance standards boosts the positive effect of structural capital efficiency on corporate market value and reinforces the positive influence of human capital efficiency on productivity.

PENGARUH KEBIJAKAN DIVIDEN, KEBIJAKAN HUTANG DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN (Studi Empiris Pada Perusahaan Sektor Food & Beverage yang Terdapat Di Bursa Efek Indonesia Periode 2018-2022)

This research aims to determine the influence of dividend policy, debt policy and profitability on company value in food and beverage sector companies listed on the Indonesia Stock Exchange for the period 2018 - 2022. To minimize a significant decline in share prices, management needs to adopt policies that can influence company value in front of investors. The phenomenon of the Food and Beverage industry has just slumped due to the global Covid-19 pandemic, the situation of the FB industry at the beginning of 2020 declined drastically due to the pandemic, andthe presence of the FB industry cannot be avoided by everyone. In this research, the author used secondary data in the form of financial reports of companies in the food and beverage sector listed on the Indonesia Stock Exchange for the period 2018 - 2022. The sampling technique was using the purposive sampling method. This research took a sample of 33 companies from a population of 17 companies in the food and beverage sector listed on the Indonesia Stock Exchange. The research method used in this research is a descriptive statistical method with classical test analysis, and multiple linear regression analysis using the Statistical Package for the Social Science (SPSS) version 16 program. Based on the description above, further research is needed to determine the consistency regarding factors that influence company value in food beverage sector companies. The results of this research show that dividend policy, debt policy and profitability have a positive effect on company value.Keywords: dividend policy, debt policy, profitability and firm value.

The Effect of Liquidity, Activitiy and Capital Structure on Profitability, Financial Distress and Firm Value in Building Construction and Property and Real Estate Companies Listed on The Indonesia Stock Exchange

This study aims to analyze the effect of liquidity, activity and capital structure on profitability, financial distress and firm value in building construction and property and real estate companies listed on the Indonesia stock exchange. The population in the study were building construction and property and real estate companies listed on the Indonesia stock exchange in 2018-2022. 17 companies were selected as samples using saturated samples. Hypothesis testing in this study was carried out with the smrart-PLS application. Based on the analysis of 11 hypotheses, it was found that liquidity has no significant effect on profitability, financial distress and firm value. Activity has a significant effect on financial distress and firm value but activity has no significant effect on profitability. Capital structure has a significant effect on financial distress and firm value but capital structure has no significant effect on profitability. Profitability and financial distress have no significant effect on firm value. Liquidity, activity and capital structure have no significant effect on firm value through profitability as an intervening variable. Liquidity, activity and capital structure have no significant effect on firm value through financial distress as an intervening variable.

The diffusion of financial technology-enabled innovation in GCC-listed banks and its relationship with profitability and market value

Purpose This study aims to examine the relationship between the diffusion of technology-enabled innovation in financial services (i.e. financial technology [FinTech]) and the financial performance, i.e. profitability and market value of the banks listed in the Gulf Cooperation Council (GCC) countries. Design/methodology/approach An extensive review of the literature was carried out, and a diffusion index of 73 items including was adopted to measure the level of FinTech usage or diffusion for the banks that are listed on the GCC stock exchanges. The study used return on assets (ROA) and Tobin’s Q (TQ) as proxies to measure profitability and market value, respectively. Findings The findings of the empirical results indicate that there is a positive relationship between FinTech implementation and market performance (TQ) in the GCC banks. The results also showed that the highest level of FinTech implementation was 79.7% by United Arab Emirates banks followed by Bahraini banks at 76.7% based on the index developed for this study. Practical implications This study, hence, recommends that policymakers and governments implement supportive policies and initiatives, allowing consumers to embrace technology as part of their way of life. This encourages banks and other organizations to formulate strategies that integrate technology into operations. Originality/value This paper offers new contributions to the GCC literature regarding financial technology and provides recommendations to the GCC financial institutions, financial markets, policymakers and governments.

See The Potential of Dividend Policy and Profitability in Increasing Company Value

The purpose of this study is to assess how dividend policy affects the way that profitability and firm value are related. The study focuses on companies in the oil and gas subsector that are listed between 2018 and 2023 on the Indonesia Stock Exchange. Seven companies were selected as a sample using purposive sampling. Descriptive statistics, Moderated Regression Analysis (MRA), and hypothesis testing are used in the analysis. The results imply that company value is not much impacted by profitability alone. On the other hand, when dividends are paid out, the dividend policy serves as a direct moderator, strengthening the positive relationship between profitability and company value. This is in line with the signaling hypothesis, which holds that dividend payments tell investors about the company's financial health and prospects for the future. However, the findings are not broadly applicable as the study is confined to the oil and gas subsector and uses only one proxy for each variable. Future research should broaden the scope to multiple subsectors and incorporate several proxies for each variable.

Does data assetisation improve corporate liquidity and corporate growth? Evidence from “hidden champion” SMEs in China

Our study explores the association between data assetisation and corporate liquidity and growth. By examining China's “hidden champion” small and medium-sized enterprises (SMEs) sample from 2011 to 2021, we find that “hidden champion” SMEs with higher data assets exhibit higher liquidity and corporate growth (including promoting sales growth, increasing profitability and corporate value, and enhancing corporate resilience). Furthermore, corporate liquidity mediates the relationship between data assetisation and corporate growth. Regarding the influencing factors, when companies are in a mature stage, this can promote the enhancing effect of data assetisation on corporate liquidity, whereas when companies are in a decline stage, this inhibits the enhancing effect of data assetisation on corporate liquidity. Companies with higher industry competition and lower macroeconomic development enhance the effect of data assetisation on corporate liquidity. Our findings emphasise the development of data assetisation and its role in improving financing decisions and promoting the survival and sustainable development of “hidden champion” SMEs.

Evaluation of the value of Internet platform Enterprises in the digital economy by the big data cooperation asset valuation model

With the innovation of information technology, the national industry has been adjusted and upgraded, and the development of the Internet industry has had a huge impact on economic development. The investment and financing of network enterprises and the merger and acquisition of network companies need to evaluate the value of network companies. In this regard, this paper evaluated the value of Internet platform enterprises under the digital economy based on the Big Data (BD) cooperation asset valuation model. This paper analyzed the factors affecting the value evaluation of Internet enterprises and discussed the advantages of BD cooperative asset valuation model in the value evaluation of Internet enterprises in the digital economy. The BD cooperation asset valuation model was constructed, and the value evaluation experiment of Internet platform enterprises under the digital economy was carried out. The experimental results of this paper showed that in the evaluation of the profitability value of Internet enterprises, the difference between the net sales interest rate was 0.14%–0.51 %. The difference between the net interest rate of equity was 0.09%–0.67 %, and the difference between the net interest rate of total assets was 0.19%–0.92 %; in terms of the evaluation of the operating capacity of Internet enterprises, the difference between the current asset turnover rate was 0.05–0.16. The difference of non-current asset turnover rate was 0.02–0.15, and the difference of total asset turnover rate was 0.01–0.16. The evaluation value based on the BD cooperation asset valuation model was not different from the actual enterprise value, which showed that the BD cooperation asset valuation model had good advantages in the evaluation of the value of Internet enterprises.

PENGARUH INVESTMENT DECISION, PROFITABILITY, DAN FAKTOR LAIN TERHADAP FIRM VALUE

The increasing performance of the firm is one of the interests of investors in investing. The value of a firm is reflected in its share price which continues to increase in the long term. The higher the share price, the higher the firm value. The purpose of this study is to obtain empirical evidence about the effect of dividend policy, investment decision, leverage, profitability, firm size, current ratio, managerial ownership, and total assets turnover on firm value. The object of this study are consumer cyclicals and non-cyclicals companies listed on the Indonesia Stock Exchange from year 2020 until year 2022. The selection sample in this study used purposive sampling method with a total 105 data samples used. This study used a multiple regeression in analyzing the data. The results of this study indicate that leverage, profitability, investment decision, and managerial ownership affect firm value. Leverage has a positive effect on firm value, the use of debt as a source of funding can optimize the company's operational activities to obtain the benefits that the company wants to achieve so that it can increase the firm value. Profitability has a positive effect on firm value, high level of profitability will attract investors to invest so that it can increase the firm value. Investment decision has a negative effect on firm value, inappropriate investment decisions can affect the development of a company’s business so that can reduce investor confidence and decrease the firm value. Managerial ownership has a negative effect on firm value, high managerial ownership will make management make decisions only to prosper the interests of management in decision making, so that investors do not have maximum control and decrease the firm value. Meanwhile, the dividend policy, firm size, current ratio, and total assets turnover have no effect on firm value.

Really Want a Whole? Or Take It Apart? Evidence of ESG disclosure heterogeneity on Chinese Listed Firm

Purpose: We examined how ESG disclosure and its sub-dimensions impact holding period returns, profitability, and company value. Design/methodology/approach: Utilizing Bloomberg panel data, the research investigates the effects of ESG dis-closures and their sub-dimensions on financial metrics within the Chinese stock market. Findings: Results reveal a multifaceted impact of ESG disclosures: environmental aspects positively affect returns, governance has a negative impact, and social factors show no significant effect. Overall ESG disclosures enhance Tobin's q, particularly driven by environmental factors. The study also identifies industry specific ESG effects and confirms ESG disclosure as a precursor to firm value, addressing endogeneity concerns. Research limitations/implications: The study offers vital insights for investors, guiding them on the differential impacts of ESG components on returns in China. It informs policymakers on crafting nuanced ESG disclosure regulations and encourages researchers to further explore ESG effects across industries and markets. Originality/value: This research uniquely dissects the disparate impacts of ESG dimensions on firm performance, emphasizing environmental disclosures and industry heterogeneity, especially during the COVID-19 pandemic. It advances the literature by detailing how various ESG facets affect firm performance, aiding stakeholders in aligning sustainability strategies with market expectations.

HOW DO DIFFERENT DEBT LEVELS INFLUENCE THE FINANCIAL PERFORMANCE OF FMCG COMPANIES IN INDIA?

This study examines the impact of capital structure on the financial performance of Fast-Moving Consumer Goods (FMCG) companies listed on the Bombay Stock Exchange (BSE) from 2011 to 2021. It focuses on how varying levels of short-term, long-term, and total debt influence key financial metrics such as Return on Assets (ROA), Return on Equity (ROE), Earnings Per Share (EPS), and Tobin’s Q. Using regression models with panel data, the research evaluates the relationship between debt ratios and financial performance, utilizing both fixed and random effects models. The findings reveal that higher levels of debt, especially long-term debt, negatively impact financial performance. Short-term debt is more commonly used in the FMCG sector, but overall, debt tends to reduce profitability and shareholder value. Notably, Earnings Per Share (EPS) had the highest average among the performance indicators, though all debt ratios demonstrated significant negative correlations with ROA, ROE, EPS, and Tobin’s Q. The study also highlights that larger and older firms are more effective at managing the negative effects of debt, performing better financially than smaller or younger firms. It recommends that FMCG companies prioritize internal funding over debt, as high debt levels can lead to financial strain. Future research could explore the impact of capital structure in other industries or include macroeconomic factors.

Analisis Faktor yang Mempengaruhi Financial Distress

This research aims to determine and analysis of factors affecting Financial Distress at manufacturing company listed in Indonesia Stock Exchange Period 2020-2022. The population in this research were 310 companies. The sampling method used in this research was purposive sampling. The data testing method used is multiple linear regression analysis with IBM SPSS 25. The results show that Profitability (ROA), Leverage (DER) and firm Value have effect on Financial Distress (Altman Z-Score), liquidity (CR) have no effect on Financial Distress (Altman Z-Score) of manufacture companies listed in Indonesia Stock Exchange for the 2020-2022 period.

Pengaruh Kinerja Keuangan terhadap Nilai Perusahaan pada Perusahaan Bidang Manufaktur

The purpose of this study is to determine the effect of liquidity level and profitability on company value. The method used is multiple regression analysis to determine the effect of each independent variable, namely liquidity and profitability, on the value of the company. This study was analyzed using correlation techniques using the SPSS 26 application. The results showed that the liquidity variable did not have a significant effect because there was no significant relationship between liquidity and company value, and the most influential variable was profitability because it showed that there was a significant relationship between profitability and company value. To increase the value of the company, there needs to be continuous attention to profitability because of its significant influence on the value of the company. Further research can be carried out in other industrial sectors, and research samples and variables can be examined using different measurement approaches.

THE EFFECT OF FINANCIAL RATIO AND BUSINESS RISK ON FIRM VALUE

The purpose of this study is to obtain empirical evidence regarding the effect of financial ratios and business risk on firm value. There are eight independent variables in this study, namely profitability, leverage, liquidity, business risk, company size, institutional ownership, asset management, and company growth. The object of this research is manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2020-2022 with specifications for the energy industry, consumer cyclicals, and consumer non-cyclicals. The sampling technique used in this study is purposive sampling and uses multiple regressions in analyzing data. There are 58 companies that passed the sample selection criteria from 174 data. The results of this research indicate that profitability, leverage, business risk, and firm size affect firm value. Meanwhile, other independent variables such as liquidity, institutional ownership, assets management, and company growth have no effect on firm value.

Influence of Live Commerce on Consumer Purchase Intention: Based on Internet-famous Food Research

In recent years, with the improvement of residents' living standards, "foodie" has gradually become a new character label. People like to try a variety of delicacies and share them on social media in their leisure time. It seems that sharing treats and punching in delicacy is becoming a new fashion lifestyle. Due to the popularization of the Internet + technology, online shopping, and the live broadcast economy come into view with a brand-new format. The host vividly explains and promotes products to consumers while consumers ask the host about the details of the product through the dialog box. By watching the live broadcast and ordering food online, it breaks through the limitations of time and geography, and not only brings great value of sales and profitability to the merchants, but also brings great convenience to consumers at the same time, making the shopping process full of entertainment and interaction. Consumers' willingness to buy is affected by a variety of external factors. This article mainly studies the factors that affect consumers' desire to purchase food in the live broadcast room. Based on the SOR model, the influencing factors are divided into reward mechanism and anchor influence. We introduce the perceived value and emotional identity of intermediate variables, use SPSS software to process the data collected by the questionnaires, and finally draw conclusions and make recommendations.