Modelling in Manufacturing Industry: Parameters Selection Using Regression Analysis

2007 ◽  
Author(s):  
Abdul Talib Bon ◽  
Jean Marc Ogier ◽  
Ahmad Mahir Razali
Keyword(s):  
Regression Analysis ◽  
Manufacturing Industry ◽  
Parameters Selection

Analysis of the Influence of Net Profit Margin, Return on Equity and Earnings PER Share of the Stock Price Case Study: Manufacturing industry sub-sector chemical industry listed on the IDX 2016

2019 ◽  
Vol 118 (5) ◽  
pp. 17-28
Author(s):  
MuhamadJusmansyah
Keyword(s):  
Regression Analysis ◽  
Chemical Industry ◽  
Stock Price ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Profit Margin ◽  
Manufacturing Companies ◽  
Return On Equity ◽  
Net Profit

This study aims to analyze the effect of Net Profit Margin (NPM), Return on Equity (EPS) on Stock Price of manufacturing companies listed in the Indonesia Stock Exchange (IDX)  of the observation year 2012 - 2016.The data used are secondary data and analytical methods, using multiple linear regression analysis with the help of Statistical Product and Service Solution (SPSS) program version 23 to obtain a comprehensive picture of the relationship between variables one with other variables. The sample in this research consist of fifteen (15) manufacturing companies group of chemical industry sectors listed on Indonesia Stock Exchange (IDX) in observation 2012 until 2016 with purposive sampling method as sampling method.The results of this study are: (1) Net Profit Margin (NPM) influential on Stock Price, (2) Return On Equity (ROE) effect on Stock Price, (3) Earning Per Share (EPS) effect on Stock Price, (4) ) The results of regression analysis simultaneously influenced the result that Earning Per Share (EPS) effect on Stock Price. As for Net Profit Margin (NPM) and Return on Equity (ROE) does not affect the stock price.  

scholarly journals MIMICRY MARKETING STRATEGY (MMS) ON MARKETING PERFORMANCE: THE ROLE OF BUSINESS ENVIRONMENT AND TYPES OF INDUSTRY

TRIKONOMIKA ◽  
2019 ◽  
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Business Environment ◽  
Marketing Performance ◽  
Intense Competition ◽  
The Relationship ◽  
Positive Effect

Research about Mimicry Marketing Strategy (MMS) on marketing performance has been done before. However, in the previous study, there was no separation between the service industry and the manufacturing industry. In addition, there was also no experiment in the business environment with intense competition and business environment with non-intense competition. This study aims to analyze the effects of MMS on marketing performance in the service industry and manufacturing industry with intense and non-intense business environment. Respondents in this study were 100 MSMEs in Banyumas Regency, taken using Random Sampling method. The analytical tool used in this study is multiple regression analysis and regression analysis moderating sub-groups with a Chow-test. The results of this study indicate that mimicry towards consumers, mimicry towards competitors, and mimicry toward suppliers have positive effect on marketing performance, while mimicry on intermediaries does not have a positive effect on marketing performance, business environment and types of industry moderate the relationship between MMS and marketing performance.

scholarly journals Analisis Pengungkapan Triple Bottom Linedan Faktor yang Mempengaruhi; Lintas Negara Indonesia dan Jepang

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Sandra Aulia Zanny ◽  
Idris Kartawijaya
Keyword(s):  
Regression Analysis ◽  
Firm Performance ◽  
Social Environment ◽  
Manufacturing Industry ◽  
Triple Bottom Line ◽  
Secondary Data ◽  
Bottom Line ◽  
Japanese Firms ◽  
Disclosure Practice

ABSTRACT.Current firm performance is not only measured by economic term (single bottom line) but alsoby social and environmental (triple bottom line). Purposes of this research are analyzing of TBL disclosureand influences factors, by using sample of companies in Indonesia and Japan.This paper investigates Triple Bottom Line (TBL) disclosure of 50 of the largest Indonesian andJapanese companies by using secondary data. Twenty two disclosure criteria were developed for each of theTBL disclosure areas: economic, social, and enviromental. Disclosure information was examined in annualreports, separate or stand-alone report and company‟s website. Regression analysis has been used to examinethe determinants of TBL disclosure practice empirically.Our result indicated that, for total of TBL disclosure (combining economic, social and environmentalcatagories), the extent of reporting is higher for firm with larger size and higher liquidity, and special forenvironmental disclosure for firm with membership in the manufacturing industry for Indonesian companies.Futher analysis indicated that the results of the total TBL disclosure are primarily driven by non-economicdisclosures. We also found that the extent of overall TBL disclosure is higher for Japanese firms, withenvironmental disclosure being the main key. This result could be attributed to the different national culturesand to the regulation environment between Indonesian and Japan.Keywords: TBL, economic, social, environment, Indonesia, Japan

scholarly journals Productivity Growth and Local Content Requirement of the Manufacturing Industry in Banten Province

2021 ◽  
Vol 22 (2) ◽  
pp. Layouting
Author(s):  
Diasitta Yusuf ◽  
Muhammad Firdaus ◽  
Alla Asmara
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Productivity Growth ◽  
Manufacturing Industry ◽  
National Standard ◽  
Total Production ◽  
Domestic Investment ◽  
Local Content ◽  
Panel Data Regression ◽  
Data Regression

Productivity growth needs to be optimized not only to produce quality products, increase exports, and reduce dependence on imports but also to support the performance of the manufacturing sector. This study aims to determine the manufacturing industry map in Banten Province, measure manufacturing industry productivity growth, and analyze the effect of Local Content Requirement (LCR) on manufacturing industry productivity growth from 2005 to 2017 by employing the use of K-Means cluster and panel data regression analysis. For this purpose, Total Factor Productivity (TFP) is the indicator used to measure productivity growth. The LCR is known as the percentage of local raw and auxiliary materials used in the production process. According to K-Means cluster analysis results, industrial companies are grouped into three clusters with different characteristics. The result of panel data regression analysis shows that the TFP of all manufacturing industry sub-sectors has increased and was influenced by LCR, total production, domestic investment, import, and provincial minimum wage. As a result, the government should integrate the LCR and other policies, such as the Indonesian National Standard, to increase productivity growth.

scholarly journals Innovativeness of Industry Considering Organizational Slack and Cooperation

2010 ◽  
Vol 3 (2) ◽  
pp. 108 ◽  
Author(s):  
Júlio Francisco Blumetti Facó ◽  
João Mário Csillag
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Predictive Model ◽  
Resource Availability ◽  
Quantitative Research ◽  
Manufacturing Industry ◽  
Research Study ◽  
Superior Performance ◽  
Organizational Slack ◽  
Descriptive Statistical Analysis

The purpose of this research study is to evaluate the influence of a company's cooperation resource availability on its innovativeness. 229 companies in the Manufacturing Industry segment were analyzed. Descriptive statistical analysis associated to regression analysis was used in order to achieve the research objective. Based on analysis of the data, it has become evident that the existence of organizational slack, as well as that of cooperation, positively influence a company's innovativeness, resulting in superior performance. Additionally, the quantitative research permitted the proposition of a predictive model which is applicable to the industry.

Problems of the Strategy of Sustainable Development of Manufacturing En-terprises

2021 ◽  
pp. 33-36
Author(s):  
A. Yucis
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Manufacturing Industry ◽  
Linear Regression Analysis ◽  
Innovative Development ◽  
Highly Qualified ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
Qualified Personnel ◽  
Coefficients Of Variation

The purpose of the work was to assess the sustainability of the development of industrial enterprises in modern Russia and to determine the reasons that give rise to the non-sustainability of their functioning. The work used data from Rosstat on the volume and growth rate of production, profitability of assets, the value and structure of costs of manufacturing enterprises. The tendencies of changes in indicators characterizing the activities of enterprises assessed using linear regression analysis. Estimates of the stabil-ity of the functioning of enterprises assessed by determining the coefficients of variation of indicators characterizing the activities of enterprises. The degree of perception by enterprises of the trends of modern technical and economic development will assessed by the trends in the structure of costs for manufacturing products of the manufacturing industry. In the work it established that the efficiency of the enterprises of the manufac-turing industry is falling, the development of enterprises is unstable. Inefficiency and instability in the development of industrial enterprises is due to the strategy of enterpris-es, which not sufficiently focused on innovative development, based on new technolo-gies and human capital of highly qualified personnel.

scholarly journals Influence of firms’ financial performance on disclosure of sustainability initiatives and assurance of sustainability reports

2020 ◽  
Vol 4 (2) ◽  
pp. 77-92 ◽  
Author(s):  
Sunita Rao ◽  
Norma Juma
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Manufacturing Industry ◽  
Global Reporting Initiative ◽  
Multilevel Logistic Regression ◽  
Financial Variables ◽  
Multilevel Logistic Regression Analysis ◽  
Sustainability Reports ◽  
Sustainability Initiatives ◽  
Consultancy Firm

This study provides a better understanding of the possible influence of firms’ financial performance on the disclosure of sustainability initiatives and assurance of sustainability reports (Perego & Kolk, 2012). The study analyzes the use of Big4 accounting, engineering, and boutique/consultancy firms for assurance of sustainability reports. A total of 2084 sustainability reports from 42 different countries were retrieved from the Global Reporting Initiative and the corresponding financial variables were obtained from the S&P Capital IQ database. Multilevel logistic regression analysis was undertaken to investigate the issue. We hypothesize that companies with higher financial performance will be more likely to choose an assurance provider from the Big4 (Carey, Simnett, & Tanewski, 2000). While we find that higher financial performers are no different from other performers (as proxied by EVA, TEV, or ROS) when it comes to Big4, we do find that engineering firms are approximately seven times more likely to be chosen as an assurance provider, after controlling for other variables (when EVA and TEV (not ROS) is used as a proxy for financial performance). Importantly, the number of employees and being in the manufacturing industry are significantly related to choosing an engineering firm as an assurance provider when EVA or TEV is used as a proxy for financial performance, and significantly related to choosing a boutique/consultancy firm when ROS is used as a proxy for financial performance.

scholarly journals FAKTOR-FAKTOR POTENSI WILAYAH YANG MEMENGARUHI RASIO MUZAKI MUSTAHIK DI KOTA TANGERANG

2020 ◽  
Vol 4 (2) ◽  
pp. 93-108
Author(s):  
Reza Septian Pradana
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Poverty Alleviation ◽  
Manufacturing Industry ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Positive Influence ◽  
Potential Factors ◽  
Two Sectors

Islam memiliki solusi zakat sebagai pengentas kemiskinan sehingga diperlukan pendistribusian zakat yang optimal. Pengoptimalan potensi zakat juga memerlukan pengetahuan akan potensi wilayah yang ada. Penelitian ini bertujuan untuk menganalisis faktor potensi wilayah yang memengaruhi rasio muzaki mustahik di Kota Tangerang. Penelitian ini menggunakan analisis regresi linier berganda. Hasil estimasi dengan analisis. regresi linier berganda menunjukkan bahwa jumlah industri pengolahan dan fasilitas perdagangan secara signifikan berpengaruh positif terhadap rasio muzaki mustahik di Kota Tangerang. Jumlah fasilitas perbengkelan/ reparasi dan jasa lainnya tidak secara signifikan berpengaruh terhadap rasio muzaki mustahik di Kota Tangerang. Dengan demikian, prioritas pembangunan wilayah lebih diarahkan pada pengembangan sektor industri pengolahan dan perdagangan. Hal ini dikarenakan kedua sektor ini berperan secara signifikan dalam pengentasan kemiskinan khususnya meningkatkan jumlah muzaki dan mengurangi jumlah mustahik di Kota Tangerang.   Islam has a zakat solution as poverty alleviation so that an optimal distribution of zakat is needed. Optimizing the potential of zakat also requires knowledge of the regional potential. This study aims to analyze the regional potential factors that affect the muzaki mustahik ratio in Tangerang City. This study uses multiple linear regression analysis. The estimation results with multiple linear regression analysis show that the number of manufacturing industry and trade facilities significantly have positive influence to the muzaki mustahik ratio in Tangerang City. The number of workshop/ repair facilities and other services insignificantly influent to the muzaki mustahik ratio in Tangerang City. Thus, regional development priorities are more focused on developing the manufacturing industry and trade sectors. This is because these two sectors have a significant role in poverty alleviation, especially increasing the number of muzaki and reducing the number of mustahik in Tangerang City.  

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